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The $100K Club is yet another binary option method performing a peak than any other binary option trading method could provide recently. It's been just a few months in the market but the result is unbelievable. Anyone with his dedication and giving extra time from his regular life can turn the wheel of fortune to earn a $100000 in a month and so on. The details below thus states that The $100K Club is not a scam, instead it is a legit binary trading option method. The $100K Club - Product Profile Name: The $100K club Author: Simon Johnson Niche: Binary Option Cost: FREE
The $100K Club - 33 seats available ONLY For the ever going increasing demand to get this high profitable application, the race already started and as you are reading this, you might be one of those lucky person to get your hands on it. But notice that, it is not a guarantee. You'll see at left hand top side, there is a counter that is coming to zero quickly with every person reserving their spot. Get yours quick otherwise, you might have to wait for another 1/2 months.
Binary Option Trading System In short, Binary Option trading (additionally referred to as Digital Options) is the newest trading tool. They have reached appeal as a result of many reasons, minimal risk, reduced investments, higher returns, ease of trading, and higher benefits. Know more about binary trading at -- Binary Option Wiki
The $100K Club --- Introduction In binary market, The $100K is just a revolution. It came from no where though it's been operating underground for almost a year. After a year long successful testing, it hit the market, raise the hope and the sudden change of some peoples life proves it worth. One needs just to download the software from the given link. Install as any software we install in our PC and get started. You'll have to create an account within The $100K Club software which will be your trading account. Once the set up ready, its time to get going. The operation is a 3 step process only. Please see below.
Make a deposit on your account
Choose the trade amount which can be as low as $25 and get relaxed and see result.
After a week long test myself, this is how I see my account..
In autopilot for 24 hours - $200 deposit -- total 87 trades -- 86 won -- 1 lost -- return $4100
In autopilot for 1 week - $200 deposit -- total 632 trades -- 623 won -- 9 lost -- return $31577
The $100K Club --- benefits
The $100K Club software is completely FREE of cost and doesn't require any payment information like credit cards or paypal
Easy installation with super easy guides and trainings inside the dashboard.
No special expertise and skills required.
Runs completely on autopilot. If you are an expert you can choose the manual trading as well from the dashboard.
Guaranteed $100K in a month for every person.
Secured members area and the membership is for lifetime.
Start trading with as very low as $25 and can scale up for more.
Renowned broker house to handle your high payments securely.
The $100K Club Review can't guarantee a 100% win situation every time you trade. But it reflects the most you get from it than any other binary trading software. Also, a total of 50 seats seems to be a little injustice for all who can't get their copy to change luck. But regretfully, this is how it works and if a wave of people carry on this method, the system may just break apart and hence the limitation applied here. As I've been using for last one week and showed you my result above, I will certainly tell you, just go for it if you are one of those lucky 50 members. Don't waste your time and regret later. It costs nothing but a mind to believe that The $100K Club is not a scam but a legit application.
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Safe Trader App is a 60 second binary option trading platform that enables you to roll a $100 into a $2000 in just a matter of 60 seconds. Here the safe trader app review will reveal the actual truth whether it is a scam or legit platform. Safe Trader App is a Binary Options Trading Application created by Aaron Williams and Rick Vicari which is absolutely FREE. >>>>> OFFICIAL LINK <<<<<
Safe Trader App - Only 23? As there is a huge demand of the application, the owner decided to keep it limited. Because the more people will get attached to it, the performance of the application will decrease slowly. So, to serve the best the creator decided this though it was a tough call for him.
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Safe Trader App --- Introduction Talking about Binary Option Trading, it is second to none to change everything all in a sudden. Safe Trader App authored by Aaron Williams and Rick Vicari is this kind of equipment. Safe Trader App is a great way to boost profits and this can be done by trading the 60 seconds option trading method. You just don’t need to be an expert, neither a trader, no one special except you are ready to change your luck with armor like your PC and internet. Every 18 out of the 20 trades that you do on this platform will get you 90% profit just in 60 seconds. But 100% Win record may be achievable if short trades done or you get used to with the behavior of the Safe Trader App software. The installation is merely easy. Just download the application from the link given above and below, install it and you are good to go depositing your amount in the account for trading. Along side, you'll have access to detailed training materials that is not only easy for the experts but also a cup of tea for the beginners as well. The trading part is only 3 steps method. Choosing a currency pair. Make a call according to the signals and finally, invest and get profit. Here are some results from couple of my friends,
Hattie Wynkop : managed to have 100% win with 10 trades, depositing a pretty small amount of $25 in each trades.
Doug Barner : managed to have 100% win with 20 trades, depositing a pretty small amount of $25 in each trades.
Antonio Chittam : managed to have 90% win with 20 trades, depositing a pretty small amount of $25 in each trades.
Safe Trader App --- Why do I like
Safe Trader App software is completely FREE of cost.
Guides and extensive detailed training materials included for FREE
Can start trading with only $25. The more, the better.
There are multiple daily trading opportunities according to the signals
Professional broker house expert dealing with high volume paycheck without any risk
Safe Trader App Review doesn't guarantee a 100% win situation every time though sometimes it is possible to achieve. Sometimes beginners get over excited and can't control their emotions to trade more and more in limited time. You just have to know yourself when to make the right decision and have to have patience. Safe Trader App review discloses here. I'm using it, I'm loving it and I know I'm getting my result. I also feel, if you are serious about this, you will do the same as me and won't regret testing the application. But remember, the decision is always yours. No matter how good I treat it, please check with your own vision.
Trial Results: Should we suspend the Simple Questions rule?
tl;dr: probably not, no.
On July 28th, 2020, MFA_Nay asked openly for feedback on the "Simple Questions Rule" and how we as moderators handle content curation on the sub. We were responding feedback of many users who were concerned that the sub was stale and/or they were unable to "ask for advice" on the front page. It's been a while since we've considered test-running the counterfactual to our norm, so it seemed appropriate to give it a shot. On July 31st, 2020, we officially suspended the rule. We were originally considering doing a month-long trial, but came to the conclusion (based on rapid and strong feedback from many regulars, combined with exasperation on our end) that a week would be quite sufficient. On August 7th, 2020, we wrapped up the trial and solicited feedback in both comment and survey form. I don't intend to put too many personal takes up here, and will add them down below as a top level comment, but I did promise you some data and figures, so I will deliver those here. When evaluating the questionnaire, the goal was to find patterns that would pass reasonable muster. The data are too small and perhaps too biased* for any real power (*though there's a case to be made that the respondents are sufficiently representative of the population we wanted the most feedback from; never underestimate the convenience sample). Looking at respondents' primary reasons for being on MFA, it seems like most people are here to lurk. I'm surprised by how many people said their reason here is "To Give Advice", and wonder if the question should have instead been split into a binary by combining "To Lurk" and "To Get Advice". Looking at respondents' time on MFA, the mean/median/mode have been here a couple of years (2-4), and barely 15% report being here less than a year. Most respondents preferred heavier curation (mean 7.3), and their curation preferences were not associated with their tenure here. Looking beyond the survey at comment and post frequency, you can see that the volume of posts is driven almost entirely by questions and the comment volume is slowly decreasing but steady. What does this mean? Well, probably not much. Allowing simple questions does not drastically change the traffic, nor does it seem to make regulars (read: the content creators here) very happy. Multiple have expressed in comments and messages that that they are less inclined to create content, and on a 5-option Likert scale question asking "Did allowing Simple Questions on the frontpage make you more or less likely to create content?", half said "Much less likely", less than 10% said "Somewhat more likely", and I didn't even realize there was a fifth option until I was rereading the question and typing this post, because no one put "Much more likely".
PSA: The version of OpenSSH Server that ships with Windows 10 and Server 2019 is broken
Thought I'd pass along a bit of insight I picked up after a week of pulling out my hair on a problem. The version of OpenSSH Server that ships with Windows 10 and Server 2019 has a bug with per-user ChrootDirectory directives. Here's the scenario:
By default, users are dumped into their profile directory. I'm trying to dump them into individual ChrootDirectory folders as I'm setting this up as an SFTP server. relevant lines in my sshd_config:
ForceCommand internal-sftp DenyGroups administrators AllowUsers sftptest Match User sftptest ChrootDirectory c:\serverroot\sftptest
Upon multiple consecutive logins, I've found that the user is only dumped into c:\serverroot\sftptest about 25% of the time. I tried all sorts of fixes. Changed the logging to file-based DEBUG3 level. I had no consistent answer and banged my head against a wally for a week. Turns out that even though ChrootDirectory was introduced in 188.8.131.52 per Microsoft's documentation, there's definitely some kind of bug in it. What's more, they haven't updated the binaries for the feature that come with Windows since, despite the project being in active development at GitHub. The latest release is 184.108.40.206, and somewhere along the way between 7.7 and 8.1 the bug was fixed. Debug logs confirm that the ChrootDirectory is set, and I've not had a single issue since updating. The moral of the story is, if you'd like to run OpenSSH Server for Windows, skip the version that's built-in as an optional Windows feature, and get a newer release from GitHub. As an aside, the active development moved to: https://github.com/PowerShell/openssh-portable but the Wiki is still at the old GitHub repo, so everything is very confusing. Don't be like me, fellow admins!
I created a mathematically optimal team generator!
Hi all, I've been playing FPL for a few years now, and by no means am I an expert. However, I like math and particularly optimization problems. And a few days ago I thought to use my math knowledge for something useful. My goal was to start from some metric that predicts the amount of points a player will score (either in the next gameweek, or over the whole season). From that metric, I wanted to generate the mathematically optimal team, aka choose the 15 players that will give me the most points, while staying within budget. I realized this is a constrained knapsack problem, which can be solved by dedicated solvers as long as the optimization problem is properly defined. Note that while I make a big assumption by choosing some metric from which I start, the solver actually finds the most optimal team, without any prior assumptions about best formation, budget spread, etc! (Warning: from this point onward it gets kinda math-y, so turn back or skip ahead to the results if that's not your thing) MATH So first, the optimization variable needed to be defined. For this purpose I introduced a binary variable x which is basically a vector of all players in the game, where a value of 1 indicates that player is part of our dream team and a 0 means it's not. Secondly, an objective function needs to be defined, which is what we want to maximize. In our case, this is the total expected points our dreamteam will score. I included double captain points and reduced points for bench players here. The objective function is linear, which is nice since it is convex (an important property which makes solving the problem much easier, and is even required for most solvers). Lastly are the constraints. Obviously, there is the 100M budget constraint. Then we also want the required amount of goalkeepers, defenders, midfielders and forwards. Then we need to keep in mind the formation constraints, and lastly are the max 3 players per club constraints. Luckily, these are all linear (so convex) constraints. I solved this problem using CVX for MATLAB, particularly with the Gurobi solver since it allows mixed integer programs. It tries to find the optimal variable x* which maximizes the objective function while staying within the constraints. And amazingly, it actually comes up with solutions! RESULTS So like I said before, I need to start from some metric that indicates how many points a player will score (if you have any recommendations, let me know!). For a lack of better options, I chose two different metrics:
The total points scored by the player last year
The expected points scored by the player in the next gameweek (ep_next in the FPL API, for fellow nerds)
Obviously, both metrics are not perfect. The first one doesn't take into account transfers, promoted teams, injuries, fixtures, position changes etc. However, it should work decent for making a set-and-forget team with proven PL players. The second metric seems to have a problem with overrating bench players of top PL teams such as Ozil, Minamino, etc. I'm not really sure why, but it's a metric taken directly from FPL with undisclosed underlying math so it's not my problem. Also, keep in mind that since the first gameweek does not feature City/Utd/Burnley/Villa players, this metric predicts them to score 0 points so they won't feature in the optimal team. Team 1: Last year's dreamteam
De Bruyne (c)
Team 2: Next week's dreamteam
Both teams cost exactly 100M. At first glance, there are some obvious flaws with both teams, but most of them are because the metric used as input is flawed, as I explained before. Lundstram is obviously a much worse choice this year due to various reasons, and Team 2 has some top 6 players which are very much not nailed. However. What I think is interesting is that both teams have only 2 starting midfielders. This despite the trend of people stacking premium midfielders. On the other hand, premium defenders seem to be very good value, and the importance of TAA and Robertson is underlined. Similarly, near-premium forwards in the 7.5-10 price range seem to be a good choice. CONCLUSION I'm quite content with my optimal team generator. Using it, I don't need to use vague value metrics such as VAPM. The input can be any metric which relates simply to how many points a player will score. Choices about relative value of e.g. defenders against midfielders, formation, budget spread etc. are all taken out of my hands with this team generator. The team that is generated is only as good as the metric used as input. But given a certain input metric, you can be sure that the generated team is optimal. I would gladly share my MATLAB code if there is any interest. Also, I'm open to suggestions on how to extend it. EDIT: Here it is. (Tiny disclaimer: Remember when I said: "without any prior assumptions"? That is a lie. There is one tiny assumption I made, which is how often bench players are subbed on. I guesstimated this to happen approximately 10% of the time.)
Retard Bot Update 2: What is there to show for six months of work?
What is there to show? Not shit, that's why I made this pretty 4K desktop background instead: 4K On the real: I've been developing this project like 6 months now, what's up? Where's that video update I promised, showing off the Bot Builder? Is an end in sight? Yes sort of. I back-tested 6 months of data at over 21% on a net SPY-neutral, sixteen year span of time including 2 bear, 2 bull, 2 crab months. But that's not good enough to be sure / reliable. I had gotten so focused on keeping the project pretty and making a video update that I was putting off major, breaking changes that I needed to make. The best quant fund ever made, the Medallion fund, was once capable of roughly 60% per year consistently, but in Retard Bot's case 1.5% compounded weekly. "But I make 60% on one yolo" sure whatever, can you do it again every year, with 100% of your capital, where failure means losing everything? If you could, you'd be loading your Lambo onto your Yacht right now instead of reading this autistic shit.
The End Goal
1.5% compounded weekly average is $25K -> $57M in 10 years, securing a fairly comfortable retirement for your wife's boyfriend. It's a stupidly ambitious goal. My strategy to pull it off is actually pretty simple. If you look at charts for the best performing stocks over the past 10 years, you'll find that good companies move in the same general trajectory more often than they don't. This means the stock market moves with momentum. I developed a simple equation to conservatively predict good companies movements one week into the future by hand, and made 100%+ returns 3 weeks in a row. Doing the math took time, and I realized a computer could do much more complex math, on every stock, much more efficiently, so I developed a bot and it did 100% for 3 consecutive weeks, buying calls in a bull-market. See the problem there? The returns were good but they were based on a biased model. The model would pick the most efficient plays on the market if it didn't take a severe downturn. But if it did, the strategy would stop working. I needed to extrapolate my strategy into a multi-model approach that could profit on momentum during all different types of market movement. And so I bought 16 years of option chain data and started studying the concept of momentum based quantitative analysis. As I spent more and more weeks thinking about it, I identified more aspects of the problem and more ways to solve it. But no matter how I might think to design algorithms to fundamentally achieve a quantitative approach, I knew that my arbitrary weights and variables and values and decisions could not possibly be the best ones.
Why Retard Bot Might Work
So I approached the problem from all angles, every conceivable way to glean reliably useful quantitative information about a stock's movement and combine it all into a single outcome of trade decisions, and every variable, every decision, every model was a fluid variable that machine learning, via the process of Evolution could randomly mutate until perfection. And in doing so, I had to fundamentally avoid any method of testing my results that could be based on a bias. For example, just because a strategy back-tests at 40% consistent yearly returns on the past 16 years of market movement doesn't mean it would do so for the next 16 years, since the market could completely end its bull-run and spend the next 16 years falling. Improbable, but for a strategy outcome that can be trusted to perform consistently, we have to assume nothing. So that's how Retard Bot works. It assumes absolutely nothing about anything that can't be proven as a fundamental, statistical truth. It uses rigorous machine learning to develop fundamental concepts into reliable, fine tuned decision layers that make models which are controlled by a market-environment-aware Genius layer that allocates resources accordingly, and ultimately through a very complex 18 step process of iterative ML produces a top contender through the process of Evolution, avoiding all possible bias. And then it starts over and does it again, and again, continuing for eternity, recording improved models when it discovers them.
The Current Development Phase
Or... That's how it would work, in theory, if my program wasn't severely limited by the inadequate infrastructure I built it with. When I bought 16 years of data, 2TB compressed to its most efficient binary representation, I thought I could use a traditional database like MongoDB to store and load the option chains. It's way too slow. So here's where I've ended up this past week: It was time to rip off the bandaid and rebuild some performance infrastructure (the database and decision stack) that was seriously holding me back from testing the project properly. Using MongoDB, which has to pack and unpack data up and down the 7 layer OSI model, it took an hour to test one model for one year. I need to test millions of models for 16 years, thousands of times over. I knew how to do that, so instead of focusing on keeping things stable so I could show you guys some pretty graphs n shit, I broke down the beast and started rebuilding with a pure memory caching approach that will load the options chains thousands of times faster than MongoDB queries. And instead of running one model, one decision layer at a time on the CPU, the new GPU accelerated decision stack design will let me run hundreds of decision layers on millions of models in a handful of milliseconds. Many, many orders of magnitude better performance, and I can finally make the project as powerful as it was supposed to be. I'm confident that with these upgrades, I'll be able to hit the goal of 60% consistent returns per year. I'll work this goddamn problem for a year if I have to. I have, in the process of trying to become an entrepreneur, planned project after project and given up half way through when it got too hard, or a partner quit, or someone else launched something better. I will not give up on this one, if it takes the rest of the year or five more. But I don't think it'll come to that. Even with the 20% I've already achieved, if I can demonstrate that in live trading, that's already really good, so there's not really any risk of real failure at this point. But I will, regardless, finish developing the vision I have for Retard Bot and Bidrate Renaissance before I'm satisfied.
./play.it is a free/libre software that builds native packages for several Linux distributions from DRM-free installers for a collection of commercial games. These packages can then be installed using the standard distribution-provided tools (APT, pacman, emerge, etc.). A more complete description of ./play.it has already been posted in linux_gaming a couple months ago: ./play.it, an easy way to install commercial games on GNU/Linux It's already been one year since version 2.11 was released, in January 2019. We will only briefly review the changelog of version 2.12 and focus on the different points of ./play.it that kept us busy during all this time, and of which coding was only a small part.
What’s new with 2.12?
Though not the focus of this article, it would be a pity not to present all the added features of this brand new version. ;) Compared to the usual updates, 2.12 is a major one, especially since for two years, we slowed down the addition of new features. Some patches took dust since the end of 2018 before finally be integrated in this update! The list of changes for this 2.12 release can be found on our forge. Here is a full copy for convenience:
--output-dir: Set the output directory for generated packages
--overwrite: Replace packages if they already exist
--icons: Allow including icons only if dependencies are present
Drop $XDG_RUNTIME_DIR from the candidates for temporary directories
Prevent scan of unneeded directories
Drop script identification by MD5 hash
Only extract needed files when using unzip
Allow to use renamed installers
Add support for LHA archives extraction
New engine: ResidualVM
New engine: System-provided Mono runtime
DOSBox: Use $PLAYIT_DOSBOX_BINARY in launchers if defined
Add ability to set variables for package-specific postinst and prerm scripts
Arch Linux: Improve consistence of 32-bit packages naming
New helper functions:
version_target_is_older_than: Check if the game script target version is older than a given one
toupper: Convert files name to upper case
New generic dependency keywords:
libglib-2.0.so.0 / libgobject-2.0.so.0
libopenal.so.1 (alias for openal)
libSDL2-2.0.so.0 (alias for sdl2)
libvorbisfile.so.3 (alias for vorbis)
Codebase clean-up and improvements:
Massive rework of all message-related functions
Drop hardcoded paths for icons and .desktop launchers
Use system-specific default installation prefix for generated packages
Forcefully set errexit setting on library initialization
Use dirname/basename instead of built-in shell patterns
As many free/libre projects, ./play.it development started on some random sector of a creaking hard drive, and unsurprisingly, a whole part of its history (everything predating version 1.13.15 released on Mars 30th, 2016) disappeared into the limbs because some unwise operation destroyed the only copy of the repository… Lesson learned, what's not shared don't stay long, and so was born the first public Git repository of the project. The easing of collaborative work was only accidentally achieved by this quest for eternity, but wasn't the original motivation for making the repository publicly available. Following this decision, ./play.it source code has been hosted successively by many shared forge platforms:
GitHub, that we all know of, choosing it was more a short-term fallback than a long-term decision ;
some Gogs instance, which was hosted by debian-fr.xyz, a community the main ./play.it author is close to ;
Framagit, a famous instance of the infamous GitLab forge, hosted by Framasoft.
As development progressed, ./play.it began to increase its need for resources, dividing its code into several repositories to improve the workflow of the different aspects of the projects, adding continuous integration tests and their constraints, etc. A furious desire to understand the nooks and crannies behind a forge platform was the last deciding factor towards hosting a dedicated forge. So it happened, we deployed a forge platform on a dedicated server, hugely benefiting from the tremendous work achieved by the GitLab's package Debian Maintainers team. In return, we tried to contribute our findings in improving this software packaging. That was not expected, but this migration happened just a little time before the announcement “Déframasoftisons Internet !” (French article) about the planned end of Framagit. This dedicated instance used to be hosted on a VPS rented from Digital Ocean until the second half of July 2020, and since then has been moved to another VPS, rented from Hetzner. The specifications are similar, as well as the service, but thanks to this migration our hosting costs have been cut in half. Keeping in mind that this is paid by a single person, so any little donation helps a lot on this front. ;) To the surprise of our system administrator, this last migration took only a couple hours with no service interruption reported by our users.
This new forge can be found at forge.dotslashplay.it. Registrations are open to the public, but we ask you to not abuse this, the main restriction being that we do not wish to host projects unrelated to ./play.it. Of course exceptions are made for our active contributors, who are allowed to host some personal projects there. So, if you wish to use this forge to host your own work, you first need to make some significant contributions to ./play.it.
The collection of supported games growing endlessly, we have started the development of a public API allowing access to lots of information related to ./play.it. This API, which is not yet stabilized, is simply an interface to a versioned database containing all the ./play.it scripts, handled archives, games installable through the project. Relations are, of course, handled between those items, enabling its use for requests like : « What packages are required on my system to install Cæsar Ⅲ ? » or « What are the free (as in beer) games handled via DOSBox ? ». Originally developed as support for the new, in-development, Web site (we'll talk about it later on), this API should facilitate the development of tools around ./play.it. For example, it'll be useful for whomever would like to build a complete video game handling software (downloading, installation, starting, etc.) using ./play.it as one of its building bricks. For those curious about the technical side, it's an API based on Lumeneffectuant that makes requests on a MariaDB database, all self-hosted on a Debian Sid. Not only is the code of the API versioned on our forge, but also the structure and content of the databases, which will allow those who desired it to install a local version easily.
Based on the aforementioned API, a new website is under development and will replace our current website based on DokuWiki. Indeed, if the lack of database and the plain text files structure of DokuWiki seemed at first attractive, as ./play.it supported only a handful of games (link in French), this feature became more inconvenient as the library of ./play.it supported games grew. We shall make an in-depth presentation of this website for the 2.13 release of ./play.it, but a public demo of the development version from our forge is already available. If you feel like providing an helping hand on this task, some priority tasks have been identified to allow opening a new Web site able to replace the current one. And for those interested in technical details, this web Site was developed in PHP using the framework Laravel. The current in-development version is hosted for now on the same Debian Sid than the API.
A regular comment that is done about the project is that, if the purpose is to make installing games accessible to everyone without technical skills, having to run scripts in the terminal remains somewhat intimidating. Our answer until now has been that while the project itself doesn't aim to providing a graphical interface (KISS principle "Keep it simple, stupid"), still and always), but that it would be relatively easy to, later on, develop a graphical front-end to it. Well, it happens that is now reality. Around the time of our latest publication, one of our contributors, using the API we just talked about, developed a small prototype that is usable enough to warrant a little shout out. :-) In practice, it is some small Python 3 code (an HCI completely in POSIX shell is for a later date :-°), using GTK 3 (and still a VTE terminal to display the commands issued, but the user shouldn't have to input anything in it, except perhaps the root password to install some packages). This allowed to verify that, as we used to say, it would be relatively easy, since a script of less than 500 lines of code (written quickly over a week-end) was enough to do the job ! Of course, this graphical interface project stays independent from the main project, and is maintained in a specific repository. It seems interesting to us to promote it in order to ease the use of ./play.it, but this doesn't prevent any other similar projects to be born, for example using a different language or graphical toolkit (we, globally, don't have any particular affinity towards Python or GTK). The use of this HCI needs three steps : first, a list of available games is displayed, coming directly from our API. You just need to select in the list (optionally using the search bar) the game you want to install. Then it switches to a second display, which list the required files. If several alternatives are available, the user can select the one he wants to use. All those files must be in the same directory, the address bar on the top enabling to select which one to use (click on the open button on the top opens a filesystem navigation window). Once all those files available (if they can be downloaded, the software will do it automatically), you can move ahead to the third step, which is just watching ./play.it do its job :-) Once done, a simple click on the button on the bottom will run the game (even if, from this step, the game is fully integrated on your system as usual, you no longer need this tool to run it). To download potentially missing files, the HCI will use, depending on what's available on the system, either wget, curl or aria2c (this last one also handling torrents), of which the output will be displayed in the terminal of the third phase, just before running the scripts. For privilege escalation to install packages, sudo will be used preferentially if available (with the option to use a third-party application for password input, if the corresponding environment variable is set, which is more user-friendly), else su will be used. Of course, any suggestion for an improvement will be received with pleasure.
Of course, such an announcement would not be complete without a list of the games that got added to our collection since the 2.11 release… So here you go:
7 Billion Humans
Agatha Christie: The ABC Murders
Age of Mythology Demo
Among the Sleep
Anomaly: Warzone Earth
Another Lost Phone: Lauraʼs Story
Assault Android Cactus
Baba Is You
Blocks that matter (previously supported by ./play.it 1.x)
Commandos 3: Destination Berlin
Divine Divinity (previously supported by ./play.it 1.x)
Duet (previously supported by ./play.it 1.x)
Edna & Harvey: The Breakout — Anniversary Edition
Factorio — Demo
Full Throttle Remastered
Giana Sisters: Twisted Dreams
Gibbous — A Cthulhu Adventure
Indiana Jones and the Last Crusade
Into the Breach
Kerbal Space Program
LEGO Batman: The Videogame
Lego Harry Potter Years 1-4
Metal Slug 3 (previously supported by ./play.it 1.x)
MIND: Path to thalamus
Monkey Island 4: Escape from Monkey Island
Multiwinia (previously supported by ./play.it 1.x)
Myst: Masterpiece Edition (previously supported by ./play.it 1.x)
Neverwinter Nights: Enhanced Edition
Populous: Promised Lands (previously supported by ./play.it 1.x)
Populous 2 (previously supported by ./play.it 1.x)
Quern — Undying Thoughts
Retro City Rampage (previously supported by ./play.it 1.x)
Satellite Reign (previously supported by ./play.it 1.x)
Star Wars: Knights of the Old Republic (previously supported by ./play.it 1.x)
SteamWorld Quest: Hand of Gilgamech
Ancient Relics Story Pack
Arachnoid Portrait Pack
Distant Stars Story Pack
Humanoids Species Pack
Leviathans Story Pack
Lithoids Species Pack
Plantoids Species Pack
Synthetic Dawn Story Pack
Strike Suit Zero
Cyclopean Owl DLC
Tetrobot and Co.
The Adventures of Shuggy
The Aquatic Adventure of the Last Human
The Count Lucanor
The First Tree
The Pillars of the Earth
The Witcher (previously supported by ./play.it 1.x)
The Witcher 3: Wild Hunt
Tonight We Riot
Touhou Chireiden ~ Subterranean Animism — Demo
Touhou Hifuu Nightmare Diary ~ Violet Detector
Triple Triad Gold
Vambrace: Cold Soul
VVVVVV (previously supported by ./play.it 1.x)
War for the Overworld (the base game was already supported, new expansions have been added):
Heart of Gold
Seasonal Worker Skins
The Under Games
Warcraft: Orcs & Humans
Warhammer 40,000: Dawn of War — Winter Assault Demo
Warhammer 40,000: Gladius — Relics of War
Warlords Battlecry II (previously supported by ./play.it 1.x)
Wing Commander (previously supported by ./play.it 1.x)
Wing Commander II (previously supported by ./play.it 1.x)
Zak McKracken and the Alien Mindbenders
If your favourite game is not supported by ./play.it yet, you should ask for it in the dedicated tracker on our forge. The only requirement to be a valid request is that there exists a version of the game that is not burdened by DRM.
Our team being inexhaustible, work on the future 2.13 version has already begun… A few major objectives of this next version are :
the complete and definitive relegation to the archive bin of ./play.it 1.14, which is still required for about twenty games ;
Precompiled Gentoo Linux 17th Year Anniversary September 2020 update - Three complete GPU specific configurations
With my 17th year supporting Gentoo approaching in September I especially wanted to post this for Gentoo users. I have for years found the hobby of helping people on this subreddit enjoyable and wanted to offer you all an update to aid you in these trying times with your struggles adjusting to and learning to love penguins! As some of you know i've been a stalwart supporter of Gentoo Linux since 2003 due to the educational merits and flexibility afforded by "baking your own binaries" and configuring your own install to suit your own hardware or purpose. This is great but the build time required to compile all that software does dissuade some people from making an attempt. I've precompiled Gentoo Linux "stage4" tar.gz base system installs and released them on several previous occasions however i felt the changes since June warranted creating a new post update. In December i began providing three gpu specific configurations for Intel amd and nvidia graphics cards and given positive feedback have continued this in a similar fashion to Systemd76 Pop!_ OS featuring kde plasma with full support for 32 bit applications then add support for docker, qemu, lutris, steam, wine staging and much more! These builds contain the base gentoo install stage used for the initial builds in the root filesystem within the tarballs for each build dated December 12 2019 These builds are an update of the finest gentoo chroot builds assembled to date i've released to the general public :)
So what the feck is a stage4?
Gentoo Linux releases system install base systems as compressed archives that include the bare minimum software necessary for Linux to reproduce itself and any other software program. Historically Gentoo used to allow users to progress to this point by building up to several "stages" from stage 1 to stage 3 then later settled on only providing stage3. Stage4 is terminology Gentoo Linux users frequently use to refer to only the filesystem contents that comprises any completed and archived installation. Stage4 Gentoo system backup largely replaces the install stage choices offered the gentoo install handbook
Why the feck would I want this?
As many people have discovered that attempt using Linux software configuration can be inflexible or incompatible after it's been prepackaged for distros such as Ubuntu or Mint or you pick one and no avenue to recompile that software is provided to adapt that software for only your own hardware configuration to "fine tune" and eliminate consistency conflicts or eliminate an overabundance of software features having been supported. *** These builds will require some customization and additional config to become bootable if you choose to proceed with further system install configuration *** New Gentoo Linux 17.1 September 2020 build details
Three GPU specific builds configured for nvidia-drivers, amdgpu and intel gpu
nvidia build includes nvidia-drivers 450.66, vdpau, nvenc, vulkan and cuda support
intel build includes UMA intel gpu acceleration, vulkan, vaapi and vdpau support
amdgpu build includes vulkan, vkd3d dx12 and opencl support
Featured applications supported
Around 1600 packages precompiled or preinstalled in advance
Linux 5.4.60 GPU specific kernel configurations provided
Hi all, What I"m trying to figure out is how to set a start option (-noverifyfiles to be exact) to Steam whenever I open it. I use dmenu+i3-gaps these days, I don't know if there's a option in dmenu for that or if I should look into some kind of edit to the binary to get it to start with that flag. I'm scratching my head on this one, the Arch wiki didn't have an explanation either.
Version 1.02 of ZombieTrackerGPS has been released. ZTGPS is a Linux+KDE native PIM application satisfying the same purpose as Garmin's "BaseCamp" software, which does not run on Linux. ZTGPS provides sophisticated query and sorting capabilities for GPS tracks. It is targeted at cyclists, runners, hikers, light vehicle use, and anyone collecting GPS tracks from handheld units, particularly if you prefer data storage on your own computer to cloud based storage. A feature description and FAQ is available on the web site below. Binary packages for several popular distros are available under the Downloads tab.
This is a personal project to fill what felt like a weak spot in the OSS ecosystem: fitness tracking software for Linux which supports local data storage. I haven't had much time recently to work on this, so the pace of development has slowed, but has not stopped. Recent changes are below. Version 1.02
Fixed crash in "Split Segment(s)" menu in Track Point Panes.
Added configuration option under the "Map Display" tab to draw track lines only when the map is still. This can improve interactive performance if you have many tracks. This is located under the "Interactive Movement Behavior" box. There is another option controlling whether to draw track points during interactive movement.
Added Wind icon to Weather set.
Added map search bar and controls above the map pane. These searches are performed against a local database and do not use online sources. The database contains city and region names, mountains, rivers and lakes, parks, and forests, sometimes but not always in multiple languages. See the new "Map Queries" documentation page under "Help/Show Tutorial..." for more information.
Added missing regional flag for Hauts-de-France.
The active filter is now re-run after tracks are imported, so they will appear in the track list if they match the active filter. This also applies after an undo operation which restores deleted tracks or other data.
The import source (filename or GPS device name) is now available as a track column called "Source".
New Bikepack activity icon.
New transport icon for Gravel biking. The icon is similar to the Road bike icon, but can be visually distinguished by the color, sloped top tube, and disc brakes.
Improve grade computation for low speeds, such as cycling up very steep hills.
Units configuration for heart rate and cadence.
Auto-Flagging was not working on OpenSUSE due to an apparent difference in libmarble behavior from Debian.
Composition Challenge #25: September 14, 2020 – Sonata Form, Part 1: Exposition
Greetings, /musictheory! Welcome to our composition challenge. This is a space to put theory into practice by writing your own original music. An archive of all composition challenges, past and present, can be found in the wiki. This challenge thread will be stickied from September 14 through October 5.
The emphasis here is on skill acquisition. In order to build a knowledge base that will enable you to engage with the larger corpus of music theory and analysis, observe the following:
Satisfy all items on the challenge prompt. There is always room to write in excess of the prompt, but you should solve the compositional problems given in the challenge.
Post submissions as replies to this thread.
There is no deadline to submit and we encourage you to explore these prompts whenever you feel like it. However, know that challenge threads will be un-stickied and will receive less attention after the first Monday of the next month.
Compose a two-part sonata form exposition for piano. (The next challenge will involve crafting a development section and recapitulation, so don't worry about the rest of the form just yet.)
Use the formal scheme P TR MC S C. (See theory section for details.)
If P is in the major mode, S should be in the dominant key.
If P is in the minor mode, S should be in the relative major key or the minor dominant key.
Use periods and/or sentences as the basis of your P and S themes.
Use a linear intervallic pattern (LIP) somewhere in your exposition.
This challenge uses terminology and concepts from James Hepokoski and Warren Darcy's landmark treatise, Elements of Sonata Theory: Norms, Types, and Deformations in the Late-Eighteenth-Century Sonata. You will construct a Type-3 sonata, as this is what most sources mean when they say "sonata form." This is your Exposition/Development/Recapitulation model, where a tonal and rhetorical problem is set up in the exposition and eventually worked out by the time the recapitulation rolls around. This is what a two-part exposition looks like. You will be composing one of these. Observe the tonal plan and arrangement of items. And here is a zoomed out vie of a Type-3 Sonata Form. (Both diagrams are from page 17 of Hepokoski & Darcy's book.)
The first theme and the beginning of sonata space; sets the feel for the movement.
Facilitates the modulation from the home key to the new key in the exposition. Recomposed in the recapitulation so that it doesn't modulate. Builds energy.
A cadence followed by a rest that separates TR from S.
Structurally and sometimes rhetorically opposes P.
Essential Expositional Closure
The cadential goal of an exposition. The first cadence after S in the expo.
Essential Structural Closure
The cadential goal of a recapitulation and of the whole movement. The first cadence after S in the recap.
Postcadential material that follows S and concludes a rotation of sonata space. May be as little as a small codetta, may include a genuine closing theme, may have several modules.
Thematic areas may contain more than one "theme," but for this exercise try to focus on producing one really good P theme and one really good S theme. Videos:
Linear intervallic patterns are voice-leading patterns that prolong a harmony and possibly bridge the space between two structural chords. Sequences are built upon LIPs, but not all LIPs are sequences.
The primary theme and transition of Mozart's C major piano sonata, K.545, contains a sequence/LIP. Analysis. Note that P is a sentence ending on a half-cadence (with the continuation prolonged by its merger with TR). These things don't have to be long; the total path from P to the MC only takes 12 measures in this sonata.
Beethoven - Piano Sonata No. 19, Op.49, No.1, I. / Score – P is a modulating period (with a sentential antecedent!), where the consequent also acts as the TR. There is no MC here (rather, it is filled in — called "caesura fill"). The S theme is a parallel period beginning at m.16; the consequent begins at m.21 and goes to m.25, but then consequent repeats (what Janet Schmalfeldt calls the "one more time" technique), so the resolution happens at the downbeat of m.29. The C zone is just 4 measures with a pickup, from mm.30-33 (derived from the beginning of S). Also, if you're following the video, the score is Heinrich Schenker's edition, which inexplicably has the measure numbers at the end of the measure, making it look like the measure numbers are one bar off from where they should be.
Marianne von Martinez – Piano Sonata No. 3 in E Major / Score — Kind of a cool thing going on here. Here is the exposition analyzed. First off, notice that there are two themes in the S group: one is a sentence (S1), the other is a period (S2). S2 elides with the beginning of the Closing Zone, and C itself is basically the material of P and TR transposed into the dominant key. It's a little unusual but not unheard of. This movement is actually a Type-2 Sonata Form (the so-called "binary" sonata form), but since we're only looking at the exposition, that doesn't matter so much for us right now. However, the fact that the C zone is so P/TR-based plays into the rotational nature of the Type-2.
Joseph Haydn – Keyboard Sonata in E minor, Hob.XVI:34/ Score – Here's one in the minor mode. Here is the exposition analyzed. The P theme is a parallel period with a modulation. I'm not really sure what the TR is supposed to be doing here, since it's basically just hanging out in the new key the entire time. It's interesting to note that in the recapitulation, P and TR are chopped up and put back together as the presentation and continuation of a sentence respectively. (And I'm sure there are other interpretations.) I have the theme type for S identified as a "phrase group," which John David White in The Analysis of Music defines as such: "A group of three or more phrases linked together without the two-part feeling of a period can be termed a phrase-group. Phrase-group is also the appropriate label for a pair of consecutive phrases in which the first is a repetition of the second or in which, for whatever reason, the antecedent-consequent relationship is absent (46)." In this case, we are dealing with the last option.
You can find links to a variety of notation programs in the wiki.
So I am a Arch user since a few months. Sometimes Manjaro. But how does Gentoo make a better distro then Arch with the big AUR? Why would someone like to compile VLC for like 3 hours when you can do it on Arch in seconds. I am exactly a linux noob in particular anymore, but on uncerstandinf Gentoo I am.
We encourage users to check the integrity of the binaries and verify that they were signed by binaryFate's GPG key. A guide that walks you through this process can be found here for Windows and here for Linux and Mac OS X.
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Note that you should be able to utilize the automatic updater in the GUI that was recently added. A pop-up will appear with the new binary. In case you want to update manually, you ought to perform the following steps:
Extract the new binaries (the .zip file (Windows) or the tar.bz2 file (Mac OS X and Linux) you just downloaded) to a new directory / folder of your liking.
Open monero-wallet-gui. It should automatically load your "old" wallet.
If, for some reason, the GUI doesn't automatically load your old wallet, you can open it as follows:  On the second page of the wizard (first page is language selection) choose Open a wallet from file  Now select your initial / original wallet. Note that, by default, the wallet files are located in Documents\Monero\ (Windows), Users//Monero/ (Mac OS X), or home//Monero/ (Linux). Lastly, note that a blockchain resync is not needed, i.e., it will simply pick up where it left off.
You ought to perform the following steps:
Download the new binaries (the .zip file (Windows) or the tar.bz2 file (Mac OS X and Linux)) from the official website, the direct download links in this thread, or Github.
Extract the new binaries to a new directory of your liking.
Copy over the wallet files from the old directory (i.e. the v0.15.x.x or v0.16.0.x directory).
Start monerod and monero-wallet-cli (in case you have to use your wallet).
Note that a blockchain resync is not needed. Thus, if you open monerod-v0.16.0.3, it will simply pick up where it left off.
Release notes (GUI)
macOS app is now notarized by Apple
Add support for IPv6 remote nodes
Add command history to Logs page
Add "Donate to Monero" button
Indicate probability of finding a block on Mining page
In the wizard, you can either select Simple mode or Simple mode (bootstrap) to utilize this functionality. Note that the GUI developers / contributors recommend to use Simple mode (bootstrap) as this mode will eventually use your own (local) node, thereby contributing to the strength and decentralization of the network. Lastly, if you manually want to set a remote node, you ought to use Advanced mode. A guide can be found here: https://www.getmonero.org/resources/user-guides/remote_node_gui.html
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