#text to csv

[prabirdutta]

[dkettchen]

Now this may not seem like a massive change in format, but boy howdy do I feel proud of myself for writing the functions to automate this ehehehehehe (unfortunately for me ao3 ship stat op used a different formatting for the pre-2020 tables, so I'll have to write another function to sort those ones out too ToT)

[readingloveswounds]

i will not apply to the graduate assistant position i will not apply to the graduate assistant position i will not

[hugetoolsnet]

Unlock Your Potential: The Ultimate Guide to HugeTools.net

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[angelwithwings23]

a plain text file is a csv file if you believe in yourself

[leveragehunters]

CoPilot in MS Word

I opened Word yesterday to discover that it now contains CoPilot. It follows you as you type and if you have a personal Microsoft 365 account, you can't turn it off. You will be given 60 AI credits per month and you can't opt out of it.

The only way to banish it is to revert to an earlier version of Office. There is lot of conflicting information and overly complex guides out there, so I thought I'd share the simplest way I found.

How to revert back to an old version of Office that does not have CoPilot

This is fairly simple, thankfully, presuming everything is in the default locations. If not you'll need to adjust the below for where you have things saved.

Click the Windows Button and S to bring up the search box, then type cmd. It will bring up the command prompt as an option. Run it as an administrator.

Paste this into the box at the cursor: cd "\Program Files\Common Files\microsoft shared\ClickToRun"

Hit Enter

Then paste this into the box at the cursor: officec2rclient.exe /update user updatetoversion=16.0.17726.20160

Hit enter and wait while it downloads and installs.

VERY IMPORTANT. Once it's done, open Word, go to File, Account (bottom left), and you'll see a box on the right that says Microsoft 365 updates. Click the box and change the drop down to Disable Updates.

This will roll you back to build 17726.20160, from July 2024, which does not have CoPilot, and prevent it from being installed.

If you want a different build, you can see them all listed here. You will need to change the 17726.20160 at step 4 to whatever build number you want.

This is not a perfect fix, because while it removes CoPilot, it also stops you receiving security updates and bug fixes.

Switching from Office to LibreOffice

At this point, I'm giving up on Microsoft Office/Word. After trying a few different options, I've switched to LibreOffice.

You can download it here for free: https://www.libreoffice.org/

If you like the look of Word, these tutorials show you how to get that look:

www.howtogeek.com/788591/how-to-make-libreoffice-look-like-microsoft-office/

www.debugpoint.com/libreoffice-like-microsoft-office/

If you've been using Word for awhile, chances are you have a significant custom dictionary. You can add it to LibreOffice following these steps.

First, get your dictionary from Microsoft

Go to Manage your Microsoft 365 account: account.microsoft.com.

One you're logged in, scroll down to Privacy, click it and go to the Privacy dashboard.

Scroll down to Spelling and Text. Click into it and scroll past all the words to download your custom dictionary. It will save it as a CSV file.

Open the file you just downloaded and copy the words.

Open Notepad and paste in the words. Save it as a text file and give it a meaningful name (I went with FromWord).

Next, add it to LibreOffice

Open LibreOffice.

Go to Tools in the menu bar, then Options. It will open a new window.

Find Languages and Locales in the left menu, click it, then click on Writing aids.

You'll see User-defined dictionaries. Click New to the right of the box and give it a meaningful name (mine is FromWord).

Hit Apply, then Okay, then exit LibreOffice.

Open Windows Explorer and go to C:\Users\[YourUserName]\AppData\Roaming\LibreOffice\4\user\wordbook and you will see the new dictionary you created. (If you can't see the AppData folder, you will need to show hidden files by ticking the box in the View menu.)

Open it in Notepad by right clicking and choosing 'open with', then pick Notepad from the options.

Open the text file you created at step 5 in 'get your dictionary from Microsoft', copy the words and paste them into your new custom dictionary UNDER the dotted line.

Save and close.

Reopen LibreOffice. Go to Tools, Options, Languages and Locales, Writing aids and make sure the box next to the new dictionary is ticked.

If you use LIbreOffice on multiple machines, you'll need to do this for each machine.

Please note: this worked for me. If it doesn't work for you, check you've followed each step correctly, and try restarting your computer. If it still doesn't work, I can't provide tech support (sorry).

[idratherbebaking]

update: they had unzipped it!

but also some of the files they want to open are like 2.5Gb (aka 10x bigger than excel can handle) so I can see why they were having trouble

I don't understand why they couldn't have figured out a solution in the 2 years that they've had this data, but...

client: can you pull out all the mutations on one chromosome from our analysis results? the excel files won't open on our computer ;-;

me: I mean, sure... [feels like something you should've already figured out since you've had this data for 2 years but whatever]

client: great! We uploaded all the files from the compressed folder you gave us 2 years ago to our google drive, we really need this by Friday!

me, growing suspicious about whether they've ever correctly unzipped that folder: cool, I'll get started, but out of curiosity, have you actually fully extracted the contents of that folder? With a third-party tool since Windows can't handle it?

[millenniallust4death]

All this talk about Tumblr disappearing and how we should export our blogs.

Writing R code to download all the notes from ONE Tumblr post has been an irritating adventure.

The main problems:

The API only gives you ~50 notes per call - no pagination, no offset, no “get everything” option. Tumblr: Fuck you, API user.

You’re limited to 300 API calls per minute.

Even if you respect that limit, Tumblr will still get cranky and start throwing 429 “Too Many Requests” errors.

When you reach the end of a post’s notes, the API just… repeats the last note forever instead of stopping.

There’s no reliable way to know when you’ve hit the end unless you build that check yourself.

Tags and added text from reblogs are a completely separate part of the API - not included with the likes, reblogs, and replies you get from the /notes endpoint. Why? Tumblr: Fuck you, API user.

Did I mention that the API is a rickety piece of shit? It forced me to get a bit creative. I built a loop that steps backward in time using timestamps to get around the lack of pagination. Since the API only gives you the most recent ~50 notes, I had to manually request older and older notes, one batch at a time - with built-in retries, cooldowns, and rate-aware pacing to avoid getting blocked.

My script works now. It politely crawls back through thousands of notes, exits cleanly when it hits the end, and saves everything to a CSV file.

Was it worth it? Eh.

[corseque]

@selemchant @noxconsortium

Here's a breakdown of what I did

I went through the ">conversations" section, looking for which files actually made up the dialogue trees. It's a little different than Inquisition, but I eventually found that they seem to be within the "FC_ConvFlowLayer" files.

Frosty actually has the strings linked correctly within these files, but it's very cumbersome to look at in Frosty. I wanted to make it easier to read. When you export these FC_ConvFlowLayer files, they are .xml files that link to numbers instead of strings.

When you export the raw script of DAV from Frosty Editor, every line is paired with the same matching little numbers (minus the first "0x" for some reason).

The raw script is a .csv file that looks like this:

So I added an "0x" to every line of the .csv file (so they would match) and then made a python program that found all the strings within the <StringId></StringId> tags in all the xml files, and then looked up the matching number in the Raw Script .csv file and then saved the second column (the text) from the .csv file into the .xml files.

So now instead of numbers, I have strings:

Now, these .xml files have a lot of information in them that someone smarter than me could figure out how to make a comprehensive dialogue tree out of, because I think all of the information you would need is provided by the xml files. But that's hard and for now I just wanted a .txt file of who spoke what line.

It wasn't hard from there to write another little program to extract just the speaker and the lines into a plain .txt file

And then to merge all the text files together and use notepad++ and the power of regular expressions to clean them even more:

IF YOU WOULD LIKE TO PLAY AROUND WITH THE .XML FILES THAT HAVE THE NUMBERS REPLACED WITH STRINGS but that still have all the conversation information intact, like how each of the lines are linked to each other, I uploaded them here on google drive (there are 1500 files, but they're pretty small):

LINK TO THE XML FILES FOR YOU TO DO WHAT YOU WANT WITH

[picknmixsims]

Hood Exporter - Updated

Hood Exporter V2.1

Added careers transform

Added support for custom objects to sims2tools:asObjectTitle(@guid) and sims2tools:asObjectDesc(@guid), custom memories, careers, etc will now display their name and not a hex GUID.

rufio and rufioPlus transforms now save with .csv extensions (no longer .txt) and also correctly escape a double quote within a text string.

[seagull-support]

Freedom Through Code

People always tout the career-related benefits of learning to code, but something I've noticed in my years writing it is that there's a sense of freedom that comes with it. I can just like, do things that I want or need to do. Learning some basic Python opened up so many doors for me, if I wanted to know something or if I wanted to do something I could just do it myself. Some examples:

Need to rename a ton of files (like removing something that a converter added to the file name)? Just use a for loop!

Need to convert a list of text from one format to another? (like point form list to a CSV that excel can use) Just use string.split and some slicing to rejoin everything.

Writing a math proof and need to come up with a counterexample for something? Just brute-force it if the case is based on integers. (very helpful for modular arithmetic problems)

Need to do a task that's actually like 9 really different steps? You can usually just write a program to do it in 15 minutes.

Doing a really complicated math problem and want to be able to check you punched a number in? Desmos works great, but if you need to use custom functions that aren't supported, just write it all up in Python. You might run into some small floating point weirdness, but it'll be minor enough to ignore.

There are a TON of tools online that you can make yourself in the Python shell faster than you could google and find them. Even if you never want to touch the computer science space with a 10 foot pole, learning major skills like this grants you a unique kind of freedom that you can only achieve by turning an arcane space into one that's just foggy.

[blubberquark]

The Future

It's always grating to read or listen to random members of the public talk about AI in the media, and it is much more grating to listen to "futurists" or politicians or so-called experts who have absolutely no domain expertise nor background in machine learning talk about things "AI" will be able to do in the future. A lot of the time, they will predict that AI (which means conversational agents based on large language models trained with transformers and attention) will do things in the future that can already be done by humans, and by computers without any AI, machine learning, or large text corpora, back in the 90s. Politicians on the other hand sometimes use "AI" to deflect criticisms of infeasible ideas. How will this work, exactly? AI!

Sometimes using AI as a buzzword is the point. Nobody wants to hear "we will develop another app".

It usually doesn't take extreme forms like "In the future, AI will allow us to transplant human hearts", but I have seen weaker forms like "In the future, technologies like ChatGPT will make genome-wide association studies and automatic drug discovery possible". You don't need large language models for GWAS or drug discovery. The data sets for this are very different, and I doubt a system like ChatGPT could just absorb a large CSV file of medial data if you pasted it into the conversation.

If you look at claims about "the future" from the recent past, you see the same thing said about blockchain, web 2.0 mash-ups and tagging, the semantic web/ontologies, smart homes, and so on. "In the future, we will all have smart fridges" – "In the future you will begin your day by asking Siri what your appointments are and what you should eat for breakfast" – "In the future your PC will print your newspaper at home." – "In the future you will pay for groceries out of your Bitcoin Wallet."

If you push back, and you point out that a this new claim sounds like a bullshit claim about blockchain, smart fridges, and the semantic web, you usually hear "That's what they said about cars. That's what they said about television." Never mind who "they" are. Never mind that they didn't say that about cars, they said that about Bitcoin. Cars are just a massive outlier. Cars were immensely successful, and they were largely unchanged for 120 years, with for wheels and an internal combustion engine that runs on petrol. Cars are noisy, smelly, and dangerous to pedestrians and occupants. For decades, leaded petrol used in cars distributed lead into the air and int the food supply. Cars depend on an infrastructure of asphalt roads and petrol stations. This is different from what they said about CDs or monorail or QR codes or pneumatic tubes. As for TV, it is usually invoked to say "People thought TV would rot our brains, yet here we are". There is no denying that TV had profoundly changed how people spend their time, changed politics, changed how fast the news cycle is, and so on, often for the worse.

It's so easy to refute "that's what they said about cars" that I could probably fill 50 A4 pages with the history of technologies that failed in some way, purely from memory, and then find old newspaper quotes from optimists and futurists that compared the naysayers (correct in hindsight) with car skeptics, and I could fill another 50 pages with ways inventions like cars and TV and the Internet profoundly changed society, and then find quotes from futurists that explain that the Internet is really just a better fax machine, and the car is like a faster horse, so we have nothing to worry about.

There's another way to dismiss skeptics of new technology, and it's harder to refute, even though it operates on the same kind of hindsight bias:

Imagine the year is 1995. What couldn't you achieve if only you knew that computers and the Internet would be big? Imagine you can send a letter to yourself in 1995. Wouldn't you want to tell your former self that the Internet will be the Next Big Thing? Wouldn't you want to tell your former self that by 2015, everybody will have an Internet-connected computer in their pockets?

It's easy to refute the hindsight bias of "that's what they said about cars" with example after example of technologies that didn't catch on for 100 years like cars did.

Where's the error here? If you say something like "Language-model AI is the future! Wouldn't you rather get on the bandwagon sooner than later?" you risk investing your money into a scam just to get in on the ground floor.

But really think it through: Imagine the year is 1985. A time traveller tells you that computers are going to be big. Everybody is going to have one. What do you do? Do you quit your job and work in the computer industry? If not, do you buy a computer? Which one? A C64? An IBM PC XT? Atari ST?

I don't know how much you could really do with this information. Should you invest your savings into Atari? Should you learn to program?

Imagine the year is 1985. A timer traveller tells you that the CD is going to replace vinyl and cassette tapes, then there will be mp3 players, but nothing will really replace mp3 players, and then streaming music from centralised servers will replace mp3 players. Nothing will really replace the CD, but the music industry will be completely different. Nobody will sell music on SD cards, mini discs are better than CDs in terms of technology, but they solve the wrong problem. All the cool indie bands that released free promo mp3s in the 2000s will split up or sell out. "What's an mp3?", you ask.

Imagine the year is 2005. Every pseudo-intellectual Internet commenter seems to think VHS won against BetaMax because of pornography. They are going to produce pornography for HD-DVD. You think Blu-Ray is dead in the water. A time traveller appears, and he tells you that actually, VHS won against BetaMax because the tapes are longer, and it allows you to VCR a long television program. Yes, they are going to produce pornography for the HD-DVD first, but it doesn't matter. Ever since Internet pornography, nobody goes to the sex shop anyway, just to risk coming out of the door with a shopping bag full of HD-DVDs, just as his neighbour's wife is coming out of the liquor store across the street. Still the Blu-ray won't replace DVDs like DVDs replaced VHS, because you can still play a DVD in a Blu-ray player, and it will all be streaming in a couple of years anyway.

What will you do with this information, other than buy a Blu-ray player?

Imagine the year is 1923. A time traveller tells you that cars are going to be big. Really big. Everybody will own one, and a garage. Petrol stations are everywhere already, but soon there will be traffic jams. Cities will be planned for cars, not people.

Should you buy a car now? Should you wait for the technology to mature?

The year is 2025. Somebody tells you that LLMs are going to be big. Bigger than they are. Bigger than ever. Bigger than Jesus. He tells you you're a sucker if you don't use ChatGPT. You think he's right, but you don't work in a job that can be done by ChatGPT. You work at a bakery. Maybe just not yet?

What should you do?

I think the idea that you should get in now, and you will "miss the boat" if you don't learn to use GenAI and conversational agents, that idea is just stupid. It's half special pleading, half Pascal's Wager, and a lot of hindsight bias. You couldn't really "get into" other technologies before they matured. Futurists confidently predicted in 2022 that "prompt engineer" was going to be a job, when obviously companies like Google, Anthropic, and OpenAI had every reason and every incentive to work on making their systems better understand users, to make prompt engineering obsolete. At some point owning a car meant learning to be a car mechanic or having a chauffeur who was your personal car mechanic, and then the technology matured. Cars are more complex now, and harder to repair when something breaks, but they are also more reliable and have diagnostic lights.

So should you use ChatGPT or Claude now, just to get ready for "The Future"? I don't know. All I know is that AI won't be a faster horse.

[anonymusbosch]

so at work they rolled out Google's Gemini AI for everyone. of course. and Gemini keeps suggesting "let me summarize the contents of this folder for you!" and I'm like sure, why not, tell me what this folder named "Test 14: <test condition> <test duration>" contains. This whole folder of three whole files. Summarize for me, my gleeful little elf.

And it comes back with

- This folder contains test data! (no shit)

- One of the files is a video! (no shit)

- One of the files is data from an accelerometer! (no shit, the simple CSV named test14_<datetime>_accelerometer.csv is an accel file? wrowza)

- One of the files is data from something else, probably an electroencephalogram! (..... what??? the 3rd file is named with a timestamp but it's just a text file with csv data and a funky extension, and the first few rows contain the exact names of the sensors used as well as column labels like "Time (s)" and "Temp (C)" and "Flow (SLM)". how the hell did EEGs get into the summary? EEGs? hello?)

like, summarizing the folder contents - even looking at the first 15 lines of the text files - you would be able to actually get the correct answer. so why are they pushing a demo that fails so badly on an exquisitely completable task? hello! look at my son as he faceplants in front of you. buy my son

[magicalwarriordiamondheart]

Patrons can claim a key for Liam's new episode right now

ks keys might be out tomorrow…? Waiting on the CSV so i can distribute keys since I have it uploaded through itch this time.

I highly recommend downloading through the Itch app if you want to keep up with updates as it can automatically update your game and patch any bugs i might find.

Update includes:

Episode 6 for liam lmao duh, there is four new unlockable cgs in this episode. (2 chibis, one main, one misc cut in) This Episode for the most part is linear, however there is A and B variants depending on the ending you got in e5 or your stats. Some are simply just based on your choices through the episode

Phone text conversations from Liam e1, 2, 4, 5, and 6 (variant A), Variant B is not in yet, Episode 4's convo is not visible instantly like the others, it shows up when the in-game date is February 07th.

Some changes in past episodes in the common route that aren't quite ready yet so just ignore them if u see them :')

A new unlockable accessory.

Game is now in 1080p HD, like 90% of artwork and UI has either been replaced with HD versions or redone entirely in the cases of some older cgs, Clover's sprite specifically, some UI elements were redone, etc

Engine updated from renpy 7 to renpy 8 so its now using all the newest versions of python. this should not effect your saves. I was able to easily transfer my saves to my new computer nd they still work <3

Basic grammar and spelling issues have been adjusted, a bunch of sprites were updated with additional layers separated out (bangs, hair side pieces, accessories) which I think looks a lot nicer

Gallery main page updated, character pages are still the original ones

oh yeah a bunch of cgs have animations now lol

[sleepy-hart]

So while working through game concepts and deciding what to work on next, I've been refreshing my Godot skills. Wanting to get back into 3D and prepare for doing more narrative heavy games. Made this demo to learn nathanhoad's excellent Dialogue Manager addon and also test drive Kenney's new Godot platformer kit.

I'm really, really enjoying Dialogue Manager so far and feel it has a tonne of potential. Think it covers a lot of things I've been looking for:

Direct engine integration is super useful, as well as using custom resources to store dialogue. They're also text files so can still use external editor to update

Straightforward syntax, reminds me a lot of ink and yarn. As well it's named node approach feels familiar

Able to access global game variables for conditionals, and having conditional based loops and choices is very straightforward

Also able to call methods directly within dialogue, which is super powerful when combined with signals (showing/hiding coin UI mid conversation, playing sound effect)

Lots of options for random dialogue choices - just used the single line ones for now but in docs have seen they also have option for setting custom probabilities, just ncie to add more flavour

Hyped it has a built in approach for translations (create IDs and reference CSVs) that looks like integrates with Godot's localisation tools - a bit of a future thought but glad it has stuff to help built in

Docs you can mention you can create dialogue resources at runtime. Can imagine this being very useful - an example would be creating a record of all lines seen to replicate Ren-py's "log" feature.

The methods for displaying dialogue are super flexible. At the moment just used their example balloons but looks like it should play nicely to let you build custom GUI - and maybe even multiple forms (e.g. dialogue scenes vs flavour barks in main game world). Think next experiments will focus on this.

There's a few more things I'm keen to learn and see if they're feasible with this - "disabled" choices that still appear but can't be accessed would be nice, also looking at how you can integrate this with an audio system for voice acting - I think they have an example that includes voice acting?

Only thing I'm a bit nervous of is it looks like it can only grab variables from autoload/global scripts, so when putting into actual game will need to take care with save systems and methods for loading choice variables into a choice master global so we aren't keeping too much in memory at once. But if I'm wrong on this assumption, or others have approaches, more than happy to be corrected on this!

Also really enjoying Kenney's 3D platformer kit and it's been fun and . Making the shopkeeper bot was super simple. All the details on the original character model are modelled so just adjusted the face and for changing colours just had to move UV islands for limbs and face to different parts of the pallete textures.

Haven't tried this technique for modelling and texturing before but seen it crop up a few times so will definitely experiment with this in the future. Also might help with optimization - I think most of the materials in the pack refer to this single image texture? By default the pack only has the model glbs and a single colormap png so assuming that's how it's working.

Original plan was to fill in the shop with another pack so there's a few little platform challenges within this, but they all needed collisions adding so might add that in future. But main aim was focusing on the dialogue and think we've got a good approch going forward, and highly recommend the add on for other Godot devs making narrative games!

[darkmaga-returns]

Summary:

Daniel (Truth_in_number) on Twitter posted a long thread on VAERS in mid-2023, seemingly based on this comical premise - unlike him, no one else had looked at VAERS extensively1

While Daniel did read 120 reports, he hasn’t yet posted the VAERS IDs for them (to the best of my knowledge), so the people who already agree with him are just taking his word in terms of final analysis

I refuted most of his central points anyway using large scale text analysis of VAERS reports (for example there are hundreds of reports of sudden death in VAERS, while Daniel claims he did not find any “true” sudden death reports)

The one major point he made2 - that 61% of the deaths he read were caused by COVID19 - was much harder to refute till now because it required large scale text analysis of 16000+ reports which did not follow any well defined text pattern

I used a recent feature provided by GPT4 to automate this process3, and found that only 39% of 16K deaths even tested positive for COVID19. In other words, less than 39% of US VAERS deaths could actually be due to COVID19, leaving the other 60%+ as potential vaccine induced deaths.

In a previous article I mentioned that LLMs can be used to extract cause of death from a VAERS report.

Extracting reported cause of death from VAERS writeups

Aravind Mohanoor

·

November 20, 2023

Summary:

Read full story

When I wrote that article, LLMs weren’t quite good enough for the task.

But things are moving quite rapidly in this field, and recently Large Language Models have added a feature to extract Structured Output from a given prompt.

So I wrote some code to send the writeup and the lab data information to GPT4, and ask4 it to extract some information and return the result in a structured format.

And not just cause of death, I used the same approach to also extract other information:

did the patient test positive

was the patient hospitalized?

how many days from symptom onset to death?

dose number

As you can see, I appended a bunch of columns to the original VAERS DATA CSV file to make it easy to filter for all the reports where the patient tested positive for COVID19. I also added a link to the MedAlerts History page to make it easy for people to verify for themselves whether GPT4 extracted this information properly.