Ulbricht trial exhibit GX-940.pdf (mirror) is a 7-page spreadsheet recording "SILK ROAD SALES DATA: 02/06/2011 - 10/02/2013". It list total transaction count and Bitcoin turnover for all categories (ranging from the hyper-specific "4-AcO-Met" with 0 sales to the general "Custom Orders" to a catch-all null category with 190,803 transactions which apparently there is no data on or the data was perhaps lost?).

While interesting, GX-940 is hard to use because the copy-paste is useless and it cannot be parsed. I have taken the data and reformatted it into a CSV file which can be analyzed more easily.

For example, if you wanted to know the top 20 drug sales on SR1, you could write in R:

srSales <- read.csv("~/gx-940-sr1salesdata-060211-02102013.csv")
categorySales <- aggregate(Payment.BTC ~ Parent.Name, sum, data=srSales)
categorySales[order(categorySales$Payment.BTC, decreasing=TRUE),][1:20,]
     Parent.Name Payment.BTC
20      Cannabis  1350442.74
35       Ecstasy  1327712.14
80    Stimulants  1163084.11
72  Prescription   370747.51
34         Drugs   318762.78
73  Psychedelics   250638.86
63       Opioids   229782.41
55          MDMA   227276.68
87          Weed   193671.25
53           LSD   163894.33
74     Relaxants   148088.99
30 Dissociatives   143852.47
68   Pain Relief   120276.79
77       Shrooms   102323.69
61         NBOMe   101860.20
47        Heroin    90260.01
1      2C family    60410.03
43     Forgeries    34711.31
25  Concentrates    26482.40
6     Alprazolam    25283.54

We can compute percentages too; of recorded sales, LSD & marijuana seem to make up ~22% of SR1's sales:

R> sum(categorySales[categorySales$Parent.Name=="Cannabis" | categorySales$Parent.Name=="LSD",]$Payment.USD.equivalent) / sum(categorySales$Payment.USD.equivalent)
[1] 0.2179536975

Interpretation of the numbers is not quite clear. I think that the conversion to USD may not be as simple as summing Bitcoin revenue and multiplying by a post-October-2013 exchange rate, because if I redo the ranking with USD instead, the rankings change:

R> categorySales <- aggregate(Payment.USD.equivalent ~ Parent.Name, sum, data=srSales)
R> categorySales[order(categorySales$Payment.USD.equ

I find myself doing this stuff with the books I need for my studies, and so far it's been surprisingly not boring. I hesitate to volunteer a lot of time, but I hereby commit to fulfil the first, say, three requests, and we'll see how it goes.

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

Im looking for a way to convert typical excel formulas into a more readable form, so I can check my equations more easily. Something like this > https://postimg.cc/vcLt9dSf

If I type more stuff down here, does it keep it from auto deleting my post?

I've been doing most of my automations in NodeRed, and one thing I still need to figure out is how to convert timestamps.

I've got a script that "Welcomes" people home when they type their code into the door. One of the problems is when I step outside to get the mail or I'm leaving for work and run back inside or something, I will also get the "Welcome home" notification. Is there a way I can convert the

> last_changed: "2021-02-01T12:48:48.229758+00:00"

that I see under the complete message object into something simpler like within 600 seconds ago? Even some Javascript for a function block would be nice.

I love reading a lot more than watching when it comes to learning. I’m looking for material like an article that will be very easy to understand as a person who never touched make up in their life. I have the tools but I have issues understanding what foundation is for and when to use it, contour, blush, etc.. would love help D: thanks a lot in advance!

Hi,

I have started a personal coding project to play around with applying machine learning (ML) to phonetics. I have neither a background in phonetics nor ML, but I thought this might be a fun project to start getting my feet wet in both fields.

My first foray into this project was to predict the number of syllables in a word based off of its IPA phonetic transcription—a simple enough place to start. Having succeeded in that I now want to predict where the syllable breaks should be. I came across a simple rule set (via this recent comment by u/Cognitively_Absurd) governing a majority of English words that I think should be easy enough for an ML model to learn.

Unfortunately, I’m having a hard time finding lists of phonetic transcriptions that include syllable breaks, which is what you need to train an ML model. I need thousands of words to properly train a model. Do any of you fine people know where I might be able to locate such a list?

Thanks for reading,

ghost

Looking for feedback on whether or not it would be useful to add glycan/carbohydrate groups to the HELM tool:

http://webeditor.openhelm.org/hwe/examples/App.htm

Some background on the importance of this kind of open Hierarchical Editing Language for macromolecules (HELM):

https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00460-5

I suspect that groups working on these kind of post-translational modifications of antibodies could find this useful, but maybe there are already highly established ways to do this?

Hi,

I'm trying to understand the importer fully and want to get to an approach with least manual actions.

Do to so, I have some questions, which are still unanswered.

specific scripts:

1. where have to be the scripts be located to use them in "specifics":
2. what language has to used for these scrips?
3. when is a script applied, at each row, before or after import etc.?

I ask as the CSV of PostFinance comes with a multi-line header and footer

HEADER - PostFinance (CH) csv export

FOOTER - PostFinance (CH) csv export

As the importer would be updated to deal with this (CSV Import support Multi-line header · Issue #2735 · firefly-iii/firefly-iii), would it be possible to run a script to check if the first field of a row is a date? If so the row would be ignored/deleted in ff3.

In addition, I would like to do a string operation on the description as it contains too much clutter. Instead, I would put the text in a note and extract only a substring based on some e.g position x to position y is numeric. This cannot be solved using rules.

mapping tags, categories etc. :

How can I map tag etc. the example given in https://firefly-iii.gitbook.io/firefly-iii-csv-importer/help/json and https://firefly-iii.gitbook.io/firefly-iii-csv-importer/importing-data/map show only account mapping?
This GH issue is related to it https://github.com/firefly-iii/firefly-iii/issues/3480.

Does FF3 map according to the role, means if column 3 is defined as tag, the mapping will happen in tags?
To map a tag I have to do:

    "roles": [
         "tag"
    ],
    "do_mapping": {
        "0": true,
    },
    "mapping": {
        "0": {
            "gas": 3,
            "electricity":3,
        },
    },

whereby tag 3: https://firefly-iii-domain/tags/show/3 = utilities

If s

Microsoft Windows Server 2019 Ver 1, Rel 5 Checklist Details - I would like to read this document in some kind of "human" readable format. I can open it in VS or Notepad and view it in its raw format but does anyone know how to display it "nicely" on the screen? I'd like to share this content with folks that are pretty technical but not enough to ready through an XML file and extract the information. I've never worked with these files before so any guidance would be greatly appreciated.

You may probably have the link already, as I'm just putting everything there:

https://docs.google.com/spreadsheets/d/1m-GdCocYhQN47J6u-xk_tDN7mqqKN-Q7Os090ZSZB98/edit?usp=sharing

New page "Skills / character"
This time this is per character, no more trying to remember what was the name of the skill, you can just search for the character and have the complete list of his skills.

I have listed the most common parameters, but the raw data is also included for the uncommon ones (damage reduction from reaction abilities, you'll have to look in the raw data), I may improve this in the future.
The buffs are included right after the skill using them. Their type (what effect they have, like the stat they boost) seems hard-coded and absent from the json, I have filled up most of them anyway, and with the description of the skill the effect should be obvious if I missed it.

I think the vision cards and espers will be easier to parse, but I don't know when I'll do it.
If anyone want to do it, or want to improve the skills one, or is just curious, I'm also sharing the Ruby code I wrote on pastebin: https://pastebin.com/ii0GhiKs
Someone asked the permission to use the equipment data, I thought it was obvious but well: everything is free to use/share/improve to build/create/do whatever you want to do.

Again, thanks shalzuth for sharing your datamining on github :)

Hello,

A client of my company has recently requested that we make the documents we produce for them machine-readable for visually impaired and blind clients of theirs. We produce financial reports for mutual funds, separately managed accounts and other kinds of financial data, so there are lots of various types of charts and tabular content..

The client requested we follow ADA standards, but we have not been able to identify what those standards are. Unlike commentary or standard text, we know there are problems translating content to audio for things like charts, based on how they're embedded in the file. We also know there are issues with color that affect readability.

I called the Perkins School for the Blind to get some information from them and am waiting to hear back. Does anyone on this site know of any organizational standards providing documentation explaining how to facilitate machine reader accuracy? We'd like to be able to develop to a standard, if possible, rather than guessing at this ourselves.

Thank you for any information you can share.

PVP

Bubble Beam

- power went from 45 to 25 with a 100 percent one stage decrease to the opposing pokemon attack

Psychic

- power went from 100 to 90 energy delta from 70 to 55 and a 10% chance of lowering the opposing pokemon defense by one stage

Fire Fang

- power went from 7 to 8

Snarl

- power went from 8 to 5 energy from 10 to 13

Weather Ball Rock sounds now uses hidden power fast?

Power UP punch

- power went from 40 to 20

Thunder Fang Fast

• power is 8
• duration is 1
• energy is 5

Ice fang fast

• power is 8
• duration is 1
• energy is 5

PVE

Psychic

- power went from 100 to 90-energy delta went from 100 to 50

GIGA IMPACT

• power 9000
• energy 100
• duration 4700
• damage window start 1000
• damage window end 2400

Pokemon that received new moves as explicitly stated in the article no other hidden mons received new moves nor legacy moves appear at the moment.

Thunder Fang Fast

• power 12
• energy 16
• duration 1200
• damage window start 400
• damage window end 900

Ice fang Fast

• power 12
• energy 20
• duration 1500
• damage window Start 400
• damage window end 1000

SNARL

Energy went from 12 to 14

FIRE FANG

power went from 11 to 12

OTHER INFO

Appartenly I totally missed this new moves added. they currently don't show power nor energy delta so im just going to list them for now.

Charge moves

LUNGE, Crush Claw, Octazooka, Mirror shot, Super Power, Fell Stinger, Leech Life, Drain Punch, Shadow Bone, Razor Shell, Horn Drill, Fissure

Fast Moves

Lock on.

I need to archive my iMessages on my Mac before I nuke the database to fix an issue caused by a long-standing Apple bug. Is there a way to export Messages from the macOS version of Messages and save them in an easily readable format like .txt, .rtf, or .html files? I can't seem to find any software that does it. And I swear that iChat used to have an export/archive function.

Is it possible?

I'm going to try doing an online implementation of an 18XX game and part of that is coming up with a way to represent tiles such that a computer can figure out what is connected to what, how much a run is worth, where tokens can go, etc.

The most popular tile collections I can find online (blackwater station, for whom the web rocks, a few other smaller ones) all just have images, no data.

RR18XX must have something behind the scenes, but it's not open source.

Ditto for the old PC 1830.

An old program called Tile Designer had XML data for a lot of common tiles 15+ years ago.

Are there any other options I might look to? Either to get existing data sets, or just to see how they represent the data so that I might avoid some potential pitfalls?

For anyone interested in the programming side of things, here's a set of TypeScript definitions I've laid out that should allow representation of every numbered tile in the Blackwater Station tile encyclopedia.

https://github.com/sparr/FreeBoardGames.org/blob/18xx/games/18xx/hexes.ts

https://github.com/sparr/FreeBoardGames.org/blob/18xx/games/18xx/hex_info.ts

I'm in the process of building a tool for helping run Sprawl games, allowing a MC and Player view of things like clocks, directives, etc. I can stream the player view to Discord, or in live games stick the player view on a second laptop/iPad/TV, etc.

In the process of doing this, I've started putting together a lot of Sprawl data (weapons, moves, playbooks, etc) in machine readable formats (currently JSON and Markdown).

Would anyone else be interested in me opening the data up for use outside my tool?

Am I even allowed to do this or do I hit some copyright issues?

Mewtwo's forms base capture rate went from 0.05999 to 0.06 so from technically 6% to actually 6%.

Giga Impact's power went from 9000 to 9001 lol.

EDIT:updated mewtwos info as it seems Niantic had previously changed the base rate to 0.059999. to the now actual 0.06 number. my decoding tablet was off yesterday just noticed today. so it never saw the change from 0.02 to 0.0599999.

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

GitHub: https://github.com/aashrafh/Mozart

https://preview.redd.it/1rrbhmxyo3b61.png?width=652&format=png&auto=webp&s=673135f3b3b65e2c1cadea8c1c37ac5e5bfedfdd