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![]() ![]() Now, to address possible counters against this: ![]() ![]() So all in all, by going near a force thats spreading, seen as a deadly presence and can literally kill you when near it, this should be good reasoning to claim they would avoid it, and at top speed, to avoid getting killed by it. ![]() This early into the series, this enemy was recognized as a mysterious power spreading across Cray, destroying all life it comes across when it's presence passes through, threatening to bring the planet and all of it's inhabitants to extinction if not dealt with. Without slowing.Īt the time this speed feat was done, the planet the characters here travel to was being invaded by an enemy that becomes the main antagonist over the course of the series later. This wasn't considered earlier in the previous thread, but evidence was found that suggests unexpected obstacles, and dangerous obstacles at that, were potentially dodged by the characters here in this speed feat. Now, as outlined in our speed rules, dodging unexpected obstacles is able to allow reactions to scale. This thread is to specifically address this new evidence only. After analyzing said points and having them dropped during the thread, I've put forth new evidence that hasn't been given much evaluation, but should be able to suffice in scaling. In the previous thread, this is the travel speed feat of discussion:īecause of the new rules on flight speed not scaling to reactions by default, this long discussion has been to discuss whether or not this travel speed feat would scale to the character's reactions under the new rule, followed by pages of discussion and points cluttered together. Because of the several pages put into the discussion, and newer stuff being recently brought up in an already long discussion with people having left mid way in to not see it, this thread is going to be made specifically to talk about this feat and ONLY the new arguments for scaling reactions to the travel speed so that it can be properly evaluated without getting cluttered up. ![]() ![]() ![]() ![]() The Screenpack comes pre-installed onto 1.1 and includes 1 KFM in each category for quick testing of the Select Screen. If aesthetic isn't a concern, there are two blank rows that can theoretically have characters placed in them too, as well as the Random row, for a total maximum amount of 5700 characters. Screenpack has 300 slots per category for up to 4800 character slots (one category is a hidden "Secret" category). I present this all to you, as I figure I'm probably not the only one who'd have interest in a screenpack such as this. I must say though, 1.1's PNG support sure makes things a whole lot easier. I actually forgot to eat for the entire middle day. At least, not that I can find.Įventually I said "Screw it, I'm going to just learn how to make my own."Īnd then I spent the last three nights straight putting this together! My first screenpack! But I also wanted a Category screenpack.Īnd then I discovered that there are no HD Category screenpacks. So here's what this is, I wanted to make a MUGEN build, that I called Generations, and I wanted it to be in HD. I might come back some day and make it more exciting, as it's nothing particularly spectacular right now. Update : An upgraded version made for IKEMEN Go can be found here!Īt least, for now. WARNING: This Screenpack only works with MUGEN version 1.1 set up with a 1280 x 720 resolution! 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You can also view tehsil information, make online payments of Land Revenue, and Stamp Duty on the Odisha Bhulekh Map Portal. Also, you can print a few clicks as well. If you want to see Bhulekh Odisha Plot Details, then you can see your ROR details by Khatiyan number, plot number, and tenant name. In addition, You can download your Bhunaksha any time from the official website.Īlso, Read – Mee Bhoomi: Your Adangal, Search ROR-1B, Meebhoomi Land Records Therefore, Odisha Government has digitized all the land records so that you can view Bhulekh Odisha Mutation, Bhulekh Naksha Village, and Land Record by Name from your mobile anytime. How to Search RoR Land Details on Bhulekh Odisha?įirstly, you have to visit the official website This portal provides Khatiyan, Plot, Tenant and other land record details of odisha state.1.5 Contact Us Bhulekh Odisha Khatiyan Detailsīhulekh, the land records web portal of Odisha has been launched by the Odisha state government because it was very difficult to manage the land documents manually, and also, people faced a lot of problems. You will find landowner name, plot no, land area, land type, loan details and other land details in these documents.ĭistricts of Odisha State Division Wise Northern Division (Sambalpur) This is a legal document which contains the information of any particular land. This portal is launch by the Government of Odisha and managed by the Land Records & Survey, How to Search RoR Land Details on Bhulekh Odisha?īhulekh Odisha is a land record portal of Odisha State. ![]() ![]() ![]() Using a MovingMedian can help clean up some of the ambient noise around these results. This lets us classify length in terms of “units of syntax,” which, while it isn’t perfect, gives us a clearer picture of the number of different elements required to build a function or program.Īnd so, using tokens now as our metric to compare the Wolfram Language and Python, we see a slightly different spread, but the points still lean very much underneath the one-to-one line, implying that the Wolfram Language still ranks comparatively shorter. Instead, we can compare “tokens,” or any string of letters and numbers that are not interrupted by a number or punctuation. On the plus side, this makes the language very straightforward and easy to understand-but it can also skew data when trying to quantify coding efficiency in terms of character count or line count. Lines are fluid and arbitrary in the Wolfram Language, and it has long, descriptive function names. Notice the Wolfram Language still remains shorter for almost every task, staying mostly underneath the dashed one-to-one line:Īlthough the typical methods for comparing coding languages are usually by character count or line count, these measures are not reliable when looking at the Wolfram Language. Each point gives the character counts of the same task programmed in the Wolfram Language and C. Here’s the same graph as in Jon’s 2012 post comparing the Wolfram Language to C. In spite of the Rosetta Code tasks being relatively low-level applications, the Wolfram Language still wins handily on code length compared to every other language. And since the Wolfram Language’s ultra-high-level constructs are designed to match the way people think about solving problems, writing programs in it is usually easier than in other languages. You wouldn’t even think of dashing off a program in C to do handwriting recognition, yet that’s a one-liner in the Wolfram Language. Keep in mind that the programming tasks at Rosetta Code are the typical kinds of exercises that you can write in conventional programming languages: editing text, implementing quicksort, or solving the Towers of Hanoi. So we updated and re-ran Jon’s code, and, much to our excitement (though we really weren’t all that surprised), the Wolfram Language remains largely superior by all accounts! We were curious to see how the Wolfram Language continues to stack up, since a lot has happened in the last two years. He compared the programming language of Mathematica (now officially named the Wolfram Language) to 14 of the most popular and relevant languages, and found that most programs can be written in the Wolfram Language with 1/2 to 1/10 as much code-even as tasks become larger and more complex. ![]() Back in 2012, Jon McLoone wrote a program that analyzed the coding examples of over 500 programming languages that were compiled on the wiki site Rosetta Code. ![]() |
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