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amazing comm I got from @creeprot
I EILL NOT BE NORMAL OVER THIS FOR A VERY VERY VEYR LONG TIME
#soft vore#robot pred#iterator pred#IM NEVER GOING TO BE NORMAL OR SANE ABOUT THIS BTW#SCREAMS SO LOUDLY
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GREETINGS CREATURES
Welcome to my new submission blog!
How it works: submit a character via asks and I’ll tell you what vore type I think they’d be (pred, prey, switch, observer) and why.
Rules:
-Any fandom is acceptable, but I’ll give faster and more accurate responses to fandoms I know (list here)
-I might have a couple people I allow, but generally no child characters (unless I’m very certain you don’t see vore sexually I want to avoid it)
-Feel free to specify iteration/universe if applicable
SFW INTERACTION ONLY, I AM A MINOR!
Main SFW vore blog: @the-fazbearcafe
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So I know you have mostly male preds, but is there a hefty/voracious female pred you have?
For female predators explicitly? Quite a few. But see, unlike most folks who just want big, sexy anime girls with large breasts who make vore almost stereotypically pornographic, I like vore to feel like vore, regardless of the gender of the pred, and that means a domineering personality, and some canonical gluttony. For same size vore, I need the pred to be big, bulky, and generally, canonically capable to actually swallow someone whole. It's why I don't really do same size vore anymore unless the pred CAN canonically eat somebody at their regular size, and instead, do macro for most anime bois.
But anywho, onto the fun part below. These aren't my only favorite female characters for kink scenarios, just explicitly favorite female preds for vore only:
Orca (DC Comics): She's my number one pick for the same reason Killer Croc is. She just hits all of my buttons. She's big, beefy, canonically voracious, a canonical big eater, has smarts but sass, I find her look very appealing, and can see her in a number of different scenarios for stuffing, vore (both fatal and non-fatal), and everything in between. I love to envision her sitting on her thick rump while rubbing her massive, writhing belly, before her prey kicks hard enough to force out a GIANT, echoing belch from the whale woman. And then, Orca just grunts, chuckles and gives a mock apology for "being so unladylike." Then, she'd just smack her chest and knock loose an even bigger burp, giving Croc a run for her money, before sighing heavily and giving her fat belly a couple of resounding pats while it ripples beneath her palm with each one. She's also huge enough that she can lug her giant gut around, grinding it against a wall or floor and moaning with pleasure at the sensation and satisfaction of feeling her prey being tenderized by her gut.
Lady Dimitrescu (RE8): Cliche, I know, but honestly, Lady D is kinda perfect. She's huge, she's curvy, she's muscular, she has a domineering personality, she's utterly ruthless while also being classy, but also shows that she has a more depraved, uncaring side. And, of course, she's also VERY canonically voracious, and has devoured countless men over the past hundred years, and even threatens to swallow Ethan whole during her boss fight. I like to think that she could swallow Ethan, even in her beefy, curvy vampire-lady form without having to mutate into her Bloodborne Monster form. But unlike Orca, if Ethan's squirming forces her to belch loud enough to echo all throughout her castle, she'll cover her mouth in shock, and be utterly outraged by the filthy man-thing for daring to make her do something so uncouth. Like it's HIS fault. :P
Alice / B Rabbit (Pandora Hearts): Alice is a Chain, which essentially means they're predators by nature. Like Cheshire, she could canonically eat somebody due to her ravenous hunger. Only, instead of eating people like Cheshire and other Chains, Alice resorts to stuffing her face with more meat than humanly possibly possible. So, I can very easily see her giving in to her hunger against a real bastard and swallowing him whole, or even eating one of her friends to keep them safe from other enemy Chains. She's also incredibly loud, abrasive, cocky, and almost Tomboyish, which is my favorite kind of personality in female characters I'm most into. So I can easily see her freely burping loud enough to wake the dead and bragging about how huge that was. And if Gil gives her crap, she'd just burp in his face and grin cockily...before it devolves into their billionth argument of the week...
Mileena (MK): Baraka is one of my favorite preds in MK, so having female Baraka works for me, especially with her latest iteration, because she's so utterly voracious, teasing and downright wicked. I can picture her stuffing her face like a pig, messily devouring her victims, or swallowing them whole. And she'd be relentlessly teasing any prey she devoured, mocking them, slapping her belly and going out of her way to ensure that her prey is as miserable as possible. Every time she belches ferociously, she'd just swallow down more air to ensure that her prey doesn't lose consciousness, because she wants them to squirm and writhe through digestion.
Riptor (Killer Instinct): I didn't even realize Riptor was female until a few months ago, but...yeah, I dig that raptor for her FAT-ality alone. It was one of those defining moments of my youth, watching her sit with a balloon belly before burping that made me realize, "Oh nooooo...I like voooooare..." XD
Mirko (MHA): Mirko's a strange one, because her eating habits are never really talked about, far as I know. But her look and personality just hit EVERY button for me. She's a huge, muscular gal with curves and the most aggressive, Tomboyish personality I've seen in the entire series. So I can VERY easily see her having a massive appetite just because of how muscular she is and needing tons of calories to do so. But due to how utterly aggressive she is, I can also see her working for macro vore, having a strong enough stomach to store shrunken prey until she can let them loose in custody, and using her mighty legs to jet her way out from a villains lair. And due to her personality and loud, abrasive nature, I can easily see her being someone who freely and LOUDLY burps without a care in the world.
Toga (MHA): Her whole thing is that she has a very twisted view of love and connection. With her, it's all about blood. She wants to ingest the blood of everyone and everything she loves. I could very easily see that turning into her swallowing a shrunken victim she loves whole and digesting them so they can be together forever. Helps that, at least in the manga, she canonically lets out a big burp when that teleport happens for the first time. ;)
Lady Venom (Marvel Comics): So, admittedly, I know nothing about Lady Venom. But Venom's one of my favorite preds, so the image of him latching onto a woman host and making her every bit as voracious and snarky as Venom is just hits all the right buttons. I can even make them seeing jokes about how her prey is gonna make her lose her girlish figure as she talks to her giant writhing belly, before letting loose a colossal belch, then giggling and excusing herself with zero shame or embarrassment as she teasingly slaps her huge, jiggling gut. You can probably sense a pattern at this point with me. 'XD
I'm sure there are others, but off the top of my head, this is what comes to mind for female preds. I don't have nearly as much as I do male preds, but Orca ranks among some of my all time favorite preds period, so take that information how you will. ;)
#ask belliesandburps#female pred#orca#mileena#lady dimitrescu#mirko#toga#riptor#alice b rabbit#belly kink#same size vore#safe vore#fatal vore#pred teasing#burping
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I was wondering, how different is widfali from when you first had the idea to now?
Unrelated, I think you give off big pred energy.
I see you always put some iteration of having a good day to us on here, so you have one too.
Howdy, home skillet!!
Let me see, I know I briefly talked about WIDFALI being an idea I got while writing a commission a friend. Then I really went full tilt when she gave me a list of things she said could not be done in a vore story.
I KEPT THIS SPOILER FREE, BUT I THOUGHT I SHOULD WARN ANYWAY. I'M SORRY I DON'T KNOW HOW TO PUT READ MORE ON PHONE.
Original Character Concepts:
Lynette: She was named Myra, meaning beloved, and favorable. Her roommate was originally her partner, not brother, and her family weren’t even really mentioned in the story. Personality wise, she was far more tomboyish, and smart/clever. Unlike Lynette who's more jokey, caring and determined. (As I continued to alter and develop the story, Myra's personality didn't fit).
Alexander: He had more of Lev's current personality, but still quick to anger. He had seven sister. (Monster wise: he has not changed, though he was not part magus in the original).
Drake: He has stayed consistent as a helpful, sometimes angst dude, though he was an only child. (Monster wise: Drake was originally only a vampire).
Zilla: She had Beatrices personality, stuck up, full of herself, etc. The morning shifters weren't ever going to be mentioned in the story, except for a small nod that they exist and that was it. (Her monster was at first a Siren, Viola did not exist in the original).
Claudia: Was a guy originally named Claude, but more serious, much like Elliot. Elliot hasnt been shown too much, I know so you cant tell too much regarding it! (He was a zombified Magus in the original concept, not a Fae).
And Lev:...I can only say he was swapped out with someone else. (They may or may not have been introduced yet, but it's something big in the story later. His was originally the Naga, not Zilla).
June would have been in Viola's place. He was midshift cleaning up. June was moved because because of some stuff later.
And as a whole, it used to be a simple day in day out, wacky competition between them. Myra being an unwilling prey who, after a while gets used to it just enjoys the games with them. (I really wanted to write something I never had before, and make it less plot centered and more slice of life.)
However...when I started to develop their backstories in correlation to what happened on their homeworld, Yexodele, I realized it wasn't going to be that simple. At the time I was on a writing binge for the main story this spin off comes from, so that's what made me change everything. I'm sorry to those that would have liked a easy going story. But, I'm happy with what I've got cooking, and I hope my readers do to when the ball drops.
Still, I find it super hilarious that all this is related to a pizza place. Lol.
I hope that answered your question!! THANK YOU FOR THE COOL BEAN ASK.
P.s. If someway, somehow, vore was safe and legal, I don't think I could ever eat anyone. I think it'd be funny to tease, but the thought of eating someone is not my jam. Being a prey though- 👀 xD Not sure on that either. I don't know if I'd be willing, because that'd take a lot of trust.
I appreciate the compliment though. If that is one? I believe it to be so.
ANYWAY YES THANK YOU, YOU HAVE THAT HAPPY HOWDOWN DAY!
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Voretober Day 27
Prompt: Experiment
In all the long days of writing, of exploring, of coming home covered in saliva, dirt, or whatever spices and herbs my latest muse decided to dust me with… I always feel so lucky. So grateful.
Learning is an iterative process, every single new person I meet filling in another part of the puzzle of my life. I am fulfilled by them, I take joy in learning about about them, and through them, my picture of the ecosystem, of myself, and of the world becomes clearer.
I almost feel bad sometimes for escaping the grasp of certain preds. For poking and prodding at them, for teasing them with my delectable form, for provoking them into showing me their hunting techniques and genetic advantages they’ve adapted for ensnaring wriggly little snacks. I have gained so, so much, and left them with naught but an empty belly.
Which is why, once in a while, if a pred is friendly enough, I like to take my curiosities a step further. I’ve learned about different pred species and different pred habits��� why not study the inside of a few firsthand. Give them something to enjoy, at least for a little while.
No experiment is without risk, and some predators are very skilled at putting on a friendly face until the moment they’ve captured you… at which point their true desires become clear. But this avenue must be explored regardless!
I’ve written a lot about surviving and escaping while still outside of preds… if I can avoid being digested enough times, perhaps “stomach escape artist” can become a legitimate vocation!
And if I should fail… well… I hope my predator enjoys me enough to make up for all the ones I played with, experimented with, and then fled with a wink and a kind, vaguely apologetic smile.
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Navigating the Future: Effective Digital Transformation Strategies
In today's fast-paced, technology-driven world, businesses must adapt and evolve to stay relevant. Digital transformation has emerged as the key driver of this evolution, revolutionizing industries and reshaping the way organizations operate. Embracing digital transformation isn't just about adopting new technologies; it's a fundamental shift in mindset and strategy. Here, we delve into effective digital transformation strategies that can empower businesses to navigate the future successfully.
Define Clear Objectives: Before embarking on the digital transformation journey, it's crucial to define clear and achievable objectives. Businesses need to identify specific areas where digital technologies can create value. Whether it's enhancing customer experiences, optimizing internal processes, or improving decision-making through data analytics, setting well-defined goals provides a roadmap for the transformation process.
Embrace a Customer-Centric Approach: In the digital era, customer experience reigns supreme. Understanding customer needs, preferences, and pain points is essential. Businesses must leverage digital tools such as customer relationship management (CRM) systems and data analytics to gather insights. By placing customers at the center of digital initiatives, organizations can create personalized experiences, build customer loyalty, and gain a competitive edge.
Cultivate a Culture of Innovation: Digital transformation thrives in an environment that encourages innovation and creativity. Leaders must foster a culture that embraces change, experimentation, and continuous learning. Encouraging employees to explore new technologies, share ideas, and collaborate on innovative projects can lead to groundbreaking solutions. Investing in employee training and development ensures that the workforce is equipped with the necessary digital skills.
Data-Driven Decision Making: Data is the cornerstone of digital transformation. Businesses possess vast amounts of data that, when harnessed effectively, can drive informed decision-making. Implementing robust data analytics tools and artificial intelligence (AI) algorithms enables organizations to extract valuable insights. These insights, in turn, empower businesses to make data-driven decisions, predict market trends, optimize operations, and personalize customer interactions.
Agile and Scalable Infrastructure: A flexible and scalable IT infrastructure is essential for digital transformation. Cloud computing, virtualization, and microservices architecture enable businesses to build agile, scalable, and cost-effective systems. Cloud platforms provide the flexibility to scale resources based on demand, facilitating rapid deployment of digital solutions. Additionally, embracing DevOps practices ensures seamless collaboration between development and operations teams, accelerating the delivery of new digital services.
Enhance Cybersecurity Measures: With increased digital integration comes heightened cybersecurity risks. Protecting sensitive data and ensuring the privacy and security of customer information are paramount. Businesses must invest in robust cybersecurity measures, including encryption, multi-factor authentication, and regular security audits. Educating employees about cybersecurity best practices also mitigates the risk of cyber threats.
Collaborate and Partner: Digital transformation often requires expertise beyond the organization's core competencies. Collaborating with technology partners, startups, and industry experts can bring valuable insights and innovative solutions to the table. Partnerships enable businesses to access specialized knowledge, accelerate development, and stay ahead in the competitive digital landscape.
Measure, Iterate, and Evolve: Digital transformation is an ongoing process, not a one-time event. Businesses must continuously measure the impact of digital initiatives against predefined objectives. Analyzing key performance indicators (KPIs), gathering feedback from customers and employees, and iterating on strategies are essential steps. Organizations should be prepared to adapt, evolve, and embrace emerging technologies to stay ahead of the curve.
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Formal Recognition: Former CDL Pro Seems to Confirm Dashy’s Departure From Optic Texas
While the writing seemed to be on the wall, some leaks feel like all the confirmation fans need. That’s what many OpTic Gaming supporters thought when OpTic Halo professional and former CDL pro Matthew “FormaL” Piper seemed to confirm that Brandon “Dashy” Otell has left OpTic Texas. If true, Dashy will be leaving the organization that he has played Call of Duty with since September of 2018. FormaL, who played alongside Dashy during the Chicago Huntsmen and OpTic Chicago iterations of the roster, revealed on stream that he would miss Dashy which fans tooks as confirmation of the rumors of his departure. “I kind of feel bad that the old team is splitting up,” said FormaL. “But hey, that’s just me, I know the players really well. It is interesting to see the new roster and stuff but I’m going to miss Brandon a lot. That’s my guy.” After OpTic Texas failed to make it to the playoff stage of the Stage One Major, rumors began to surface that Dashy had left the team. The organization itself made no official announcement on social media of his departure, but Dashy began making cryptic tweets that suggested that he was no longer playing under OpTic. This is not the first time during the Modern Warfare 2 season that Dashy has been dropped from the roster. During the offseason OpTic Texas released both Dashy and Indervir “iLLeY” Dhaliwal, only for the team to revert that decision a day later and bring the two players back. There have been several rumors as to who OpTic Texas is going to replace Dashy with; however, none of them have worked out as of yet. Originally, the team sought to pick up Alec “Arcitys” Sanderson, but Arcitys later revealed that the deal had fallen through. More rumors swirled about how Amer “Pred” Zulbeari could be joining the roster, but he too confirmed that the deal had also not gone as planned. With only one more week until matches start back up, fans are anxious to see who will join OpTic Texas next. Read the full article
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Freddy in all the different iterations of FNAF.
I'm getting cringe flashbacks from when I was in high school considering I actually used to RP F.NAF vore stuff. Buckle up everyone, here we go, it might be a long one. (I'm also disconnecting the whole child souls in the suits because 1. Fucking weird in the first place and 2. I think people have kind of just given the animatronics their own personalities anyways. Also kind of makes everyone wanting Glamrock Freddy as their father figure a bit weirder too.)
FNAF 1: Here the game was a perfect horror setting, complete with animatronics that smelled like rotting bodies, which I'm absolutely factoring in. I'm also gonna include Golden Freddy in this because they are also technically a Freddy. Either way, smelling like rotting corpses and presumably being disgustingly uncared for leaves these two at a 2/10, no thank you. Maybe after a week in a fucking cleaning station, which would bring them up to 5/10 or 6/10.
FNAF 2: Got two of these brown fucks to look at. Toy Freddy gives me Chucky vibes for some reason, so that's a hard pass with a 1/10. Busted Freddy and Golden Freddy in this one??? Eh, I'm not gonna be as harsh as the first game, but I don't like the squareness of their lower jaws for some reason. Either way, 4/10 in the hopes that they don't smell quite as rotten.
FNAF 3: I don't think I'm going to count this??? Since they're all hallucinations and stuff. 0/10, lol
FNAF 4: Look, I know I said I love sharp teeth and stuff, but the designs literally feel like they're from a twelve year olds edgy fanfic (trust me, I know). The cringe for the FNAF 4 designs is too much for me personally, 1/10, you'd literally just end up like shredded cheese.
Sister Location: I... I honestly don't really like this game?? I don't remember much of it, but I remember very much not liking the faceplates that separated from each other and stuff. If it served a function, cool, but to me it just gave the animatronics more edgy syndrome. Also, Funtime Freddy looks like he'd kill my parents and not care, so 2/10.
Security Breach: Yes, I'm skipping FNAF World and stuff, but eh. Now, Glamrock Freddy? Absolute bean, a madlad, a soft boi. Despite knowing that he would try to protect me, I want to protect him, he is too nice. But, I could absolutely see protective vore (I mean, it's kind of canon anyways), and I feel like he'd be a doting pred. 8/10, would want to be protected.
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2021 Playoff Preview
WEST
1. Colorado: hitting their stride at the perfect time, key players are back from injury. Healthy goalies go a long way (as they found last year). Makar deserves Norris consideration. On top of all their riches Jost and Timmins have finally started to live up to their potential. Don’t forget Newhook and Byram are on the way up as well. This group should be a cup contender for the next 5 years or so. With all that being said it took Tampa quite some time to turn their talents into a cup, and only time will tell if the Avs are able to love up to their projection. 2. Vegas: this team is big and strong and feasted on the lower half of the west division just like the avalanche. One of the most undersold additions of this off-season is probably Pietrangelo, joining Theodore and a strong and young blueline that boasts some really good defenders in Whitecloud and Hague. Yes, Chandler Stevenson is not quite the flashiest name at 1C (he does a good job tho, don’t get it twisted), but even the bottom portion of the forward group has players who are strong, fast, and skilled, such as Roy, Tuch, and Kolesar. A cup win this year is very much in play, but the future is not without hope should Glass and/or Krebs ever blossom into what Stevenson is not. 3. Minnesota: Although a playoff berth without much of a chance to go all the way is not new for the Wild, the sense of ascension in a optimistic future is a welcome change. Even without a series win, the foundation of a strong performance could be a crucial step in their building. 4. St. Louis: letting your captain and best defencemen (player?) walk is certainly a choice. Reminds me a little of Washington letting Trotz walk. I must also admit I’m not a huge believer in Binnington. They’ll need Kyrou and Thomas to continue expanding their influence as the years go, but it’s hard to see this group replicating their success from 2019. Shout outs to Perron for aging like fine wine.
Final four pick: Vegas over Colorado
EAST
1. Pittsburgh: Yes, the goaltending is more stable than last year, but another huge aspect in what looks to be a much stronger iteration of the Penguins is the success of Matheson-Ceci. The duos play has definitely helped Marino-Pettersson to develop at their own pace, not to mention Dumolin-Letang to round out an understated but very strong blueline. Carter has been a great addition and has still got game, people sleep on you when your team isn’t good (I see you Anze Kopitar). Between their cups wins the Pens looked like an easy out at times, but I see that more as a testament to Crosby and Malkin being able to cruise into the playoffs. When they are on they could easily go all the way. 2. Washington: Some have been waiting for the bottom to fall out with this aging group, although they managed to pace the division for large parts of the season. Although Chara joins a defence group that is probably at its best since the Cup win, there are questions up front and in net. Mantha is a nice addition (maybe not worth the price) but there are a lot of injuries heading into the post season. Samsonov and Vanecek have been alright in net, but it is a lot to ask of two young goalies. In 3 years that tandem could be really strong but to this point it hasn’t been elite level. 3. Boston: finally the blueline is healthy. The second line, rather the forward group in general is as strong as it’s been in years. Swayman and Vladar provide some post Rask optimism, but for now there’s not much to be critical about throughout this lineup. 4. NY Islanders: This team is not exciting but they get the job done. They ended Pittsburgh’s 8 series winning streak a few years ago. Barzal/Nelson/Pageau is really solid down the middle. The defence would look a lot better with Toews. I might pick them to beat Washington in a series but that’s about it.
Final four pick: Boston over Pittsburgh
CENTRAL
1. Carolina: This team is stacked. The blueline is very deep. The goalies have all been good in large part thanks to their overall team structure (I’d go Mrazek/Nedeljkovic/Riemer FWIW). Trocheck has fit in so nicely and really shine with Necas, who is big, fast, and skilled, and often looks like he can do anything on the ice. Svechnikov is still coming into his own, but is not being relied on more than he can handle at this point. 2. Florida: This has been the most surprising and fun team of the season. It’s nice to see players like Duclair, Verhaeghe, and Bennett excel when given the opportunity. Splitting Barkov and Huberdeau was huge, and adding lots of sandpaper with the likes of Hornqvist, Wennberg, Gudas, and Nutivaara has helped solidify the bottom of the roster. It sucks that Ekblad is out for sure, although hopefully both he and the Panthers can carry their success into next year, regardless of how a very tough opening round in the battle of Florida unfolds. They really got pooched in the last expansion draft so hopefully that does not repeat itself, although youngsters like Tippett, Denisenko, and down the road Noel and Lundell should help prevent too much of a regression. 3. Tampa Bay: What to say? The defending champs hitting the post season in a return to full health. A roster with no holes, lots of continuity and the best goalie in the world (?) at this point. There’s not much reason to pick against them besides hockey is strange and random and Florida is more fun. Big shout outs to the NHL’s first all Black line, as Mathieu Joseph, Daniel Walcott, and Gemel Smith got the opportunity to start late in the season. In particular Joseph and Smith are players who have had really strong results in short stints fighting for a regular spot in this loaded Tampa lineup (also, shout out to their brothers, Givani Smith and P.O. Joseph who should have a shot at being NHL regulars next season). 4. Nashville: The Preds have the goaltending and defensive structure to pull off an upset. Both the 1st round matchups in this division embody why I really enjoyed this division, as geographical rivals have the chance to square off. In all, this division could provide the most entertainment of round 1.
Final four pick: Carolina over Florida
NORTH
1. Toronto: I will probably be writing more Toronto centric pieces so I’ll keep it short. In three short (actually painfully long) years as GM, Dubas has kept the “can and will” big four and changed the rest of the team to compliment their skill sets and short comings. This team is easily the favourite to come out of the North Division. 2. Edmonton: McDavid is on another level. Seeing some clips in the fall (off-season) it’s as if my eyes forgot how fast he really was, as upon seeing some clips of his I could’ve sworn were playing in fast forward. Draisaitl is really good too. Similar to Dubas, GM Holland has built a roster that compliments his offensive stars, although his route there has involved more patience than anything. Tippett and Smith have been the forefront of their defensive prowess, it’s hard to overlook the effect that defenders like Nurse and Bear have contributed to this new facet of their identity. 3. Winnipeg: the Jets are very much limping into the post season, although they do have the goaltending to pull off upsets, and the talent up front to score opportunistically. In all their blueline and defensive play in general is underwhelming. 4. Montreal: The Habs successfully outlasted the mediocrity in the lower portion of the division to hold onto the last spot. They do have the physicality and depth to outperform their talents in the playoffs as we saw last year, although a lot will have to go right for them to pull off an upset or two, including a vintage Price performance in net should he be available.
Final four pick: Toronto over Edmonton
#nhl playoffs#montreal canadiens#Toronto Maple Leafs#winnipeg jets#edmonton oilers#Nashville Predators#tampa bay lightning#Florida Panthers#Carolina Hurricanes#New York Islanders#boston bruins#washington capitals#pittsburg penguins#st. louis blues#Minnesota Wild#vegas golden knights#Colorado Avalanche
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Hey.... got any more... pred Link hcs?
Listen... you KNOW I do. I always do. Ahem:
- Every iteration of Link has always been a heavy sleeper in canon, always seen being woken up in the games to start his adventure. So I propose this: If he falls asleep with one or more passengers inside, good luck waking him up. You might as well get comfy, once’s he’s asleep, he’s out like a light. Especially with a full belly.
- Conversely, swallowing up a tiny to protect them gives him a massive adrenaline rush. As a protector and knight, it’s just his natural instinct. He’ll fight with insane ferocity when he has a passenger to protect, and won’t let any harm befall them.
- He gets SUPER bashful if anyone complimemts him. It’s practically canon. But especially so in a vore context. His innards turn a bright red as he blushes, so it’s really easy to tell.
- His stomach tends to give him away when he’s hungry. I think this was canon in the manga too! Even if he tries to deny it, his belly will chime in at the most inconvenient times.
- More of a belly thing than a vore thing (I’m so sorry) but ever since he was a kid, he drank a lot of milk. It’s like, his favorite drink. As he gets older though, it starts to not agree with him as much. But he’s stubborn, and eats lots of cheese and milk anyway. If ice cream was a thing, he’d be all about it. Belly rubs are often a necessity after he really lets himself indulge on dairy treats.
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Clojure transducers from the ground-up: the essence.
This is the first part of an article dedicated to Clojure transducers. I initially wrote this article for uSwitch Labs (my former employer in 2017) but the articles were later removed. This first part illustrates the functional foundations of transducers. The second part contains practical examples of their use in real-life scenarios.
Introduction
Transducers have been introduced in Clojure 1.7 (at the end of 2014) and they never got the attention they deserved. The author of Clojure, Rich Hickey, recently stated in his A History of Clojure paper:
I think transducers are a fundamental primitive that decouples critical logic from list/sequence processing and construction, and if I had Clojure to do all over I would put them at the bottom.
Maybe because of some confusion with Reducers (a similar Clojure feature which focuses on parallelism), or because not all functions in the standard library are transducers-aware, many Clojure programmers are still reluctant to use them extensively. Transducers are still relegated to advanced scenarios, but there are compelling reasons to use them more often, for example to replace some common cases of sequential processing.
In this article I’m going to show you that transducers are essentially a functional abstraction (similar to combining object oriented patterns). They can be derived with a few refactoring moves on top of existing collection processing functions. The fact that Clojure offers them out of the box removes any excuse not to start using them today!
Same function, different implementations
map and filter are very common operation for stream oriented programming (there are many more in the Clojure standard library and the following examples apply to most of them as well). Here's a simplified version of how map and filter are implemented in Clojure:
(defn map [f coll] (when (not= '() coll) (conj (map f (rest coll)) (f (first coll))))) (defn filter [pred coll] (when (not= '() coll) (let [f (first coll) r (rest coll)] (if (pred f) (conj (filter pred r) f) (filter pred r)))))
map and filter clearly share some common traits in terms of iterating the input, building the output, the recursion mechanism and the actual "essence" of the operation:
The access mechanism to the input collection (first, rest, the empty list '() are all specific to the Clojure sequential interface).
Building the output (conj is used to put elements in the final list, but something else could be used).
The recursion mechanism is used to consume the input (note that this is a stack consuming and not tail-recursive loop).
The "essence" of the operation itself, which is the way "mapping" or "filtering" works (filter requires a conditional for example).
There are similar operations for data pipelines in other Clojure libraries. For example core.async is a library inspired by CSP (Communicating Sequential Processes) in which processes exchange information using channels. A common case for the sender is to apply transformations to the outgoing messages, including operations like map, filter and many others. Let's have a look at how they could be implemented in core.async (this is a simplified version of the now deprecated ones that appeared in the initial implementation):
(defn map [f in out] (go-loop [] (let [val ( in)] (if (nil? val) (close! out) (do (doseq [v (f val)] (>! out v)) (when-not (impl/closed? out) (recur))))))) (defn filter [pred ch] (let [out (chan)] (go-loop [] (let [val ( ch)] (if (nil? val) (close! out) (do (when (pred val) (>! out val)) (recur))))) out))
Again, there are similarities and common traits:
The access mechanism uses core.async primitives (!) to read and write to channels.
The recursion mechanism is implemented by the go-loop macro and related recur instruction.
The "essence" of the operation itself is the same as before: map consists of applying "f" to each value and filter uses a predicate on each value in a when condition.
We are going to see one last example inspired by another library: the Clojure Reactive extensions. RxClojure is a library implementing the Clojure bindings for RxJava. Reactive programming is a push-based model based on streams: events (called “observables”) are collected and routed to components "reacting" to compose behaviour. How could map or filter be implemented in this case? The following are not in RxClojure, as they are just calling into the relative Java version. But if we had to implement them in Clojure, they would probably look something like this:
(defn map [f xs] (let [op (operator* (fn [] (subscriber (fn [ v] (catch-error-value v (on-next (f v)))))))] (lift op xs))) (defn filter [pred xs] (let [op (operator* (fn [] (subscriber (fn [ v] (catch-error-value v (when (f v) (on-next v)))))))] (lift op xs)))
We start to see a pattern emerging, once again we can distinguish between:
The access mechanism uses lift to iterate through the incoming sequence "xs" in conjunction with on-next inside the operator implementation.
Building the output is not explicit as before. Events are consumed downstream without accumulating.
The recursion mechanism is implicit. Somewhere else in the code a loop is happening, but it's not exposed as part of the main API.
The "essence" of the operation is the same as before: map consists of (f v) for each value and filter uses a when condition.
Do we need to repeat variants of the same implementation over and over? Is there a better way?
Combinatorial Explosion
By looking at the three implementations of map and filter above, we learned that the essence of the operation and some form of iteration are general aspects. Making access to the input or building the output depends on the specific transport. We just looked at map and filter, but the same isolation of concerns is applicable to other sequential processing functions, for example:
mapcat, remove, take, take-while take-nth, drop, drop-while, replace partition-by, partition-all, keep, keep-indexed map-indexed, distinct, interpose, dedupe, random-sample [...]
The list above should also include any custom functions that you might need beyond what's offered by the Clojure standard library.
The dilemma is; how can we deal with the ensuing combinatorial explosion? Are we doomed to implement the same functions with slight variations for each new type of transport/collection? Could we just write map once and use it everywhere? Transducers are the solution to this problem (and much more).
An exercise in refactoring
To enable reuse of the general aspects of sequential processing, we need to isolate the "essence" of map or filter (or other functions from the list above) and provide a way to run them in a transport-independent fashion. If we succeed, we'll have a recipe to build processing pipelines that can be reused in different contexts.
It turns out that reduce, a well known operation in functional programming, is the key to achieve this goal. Is not a coincidence that Graham Hutton dedicated an entire paper on The universality and expressiveness of fold (fold is another name for reduce). reduce is very general because it encapsulates the prototypical tail-recursive loop. Have a look, for example, at the following "sum of all numbers in a list":
(defn reduce [f result coll] (if (not= '() coll) (reduce f (f result (first coll)) (rest coll)) result)) (reduce + 0 (range 10))
Here reduce accumulates the result explicitly as one of the parameters. This form of recursion is also called "iterative" and once transformed into a Clojure loop-recur, it doesn't consume the stack. The other interesting fact about reduce is that it decouples the iteration mechanism from the transformation semantic, which is part of our plan.
map and filter (as well as many other recursive algorithms) can be rewritten "reduce style". The fact that a stack-consuming algorithm can be rewritten as iterative is a well known property in theory of computation. By rewriting map and filter (and possibly other sequential functions) as iterative, we are offered the possibility to extract the "essence" of the operation:
;; refactoring step 1: iterative recursion style. (defn map [f result coll] (if (not= '() coll) (map f (f result (first coll)) (rest coll)) result)) (map (fn [result el] (conj result (inc el))) [] (range 10)) (defn filter [f result coll] (if (not= '() coll) (filter f (f result (first coll)) (rest coll)) result)) (filter (fn [result el] (if (odd? el) (conj result el) result)) [] (range 10))
"f" is now passed as part of the parameters in our new implementations. If you look carefully, the two functions map and filter are now identical (except for the name). Invoking them requires a more sophisticated "f" function taking two arguments: the result so far (also called accumulator) and the next element to process.
One big plus after this change is that the essence of filtering (or mapping), is now isolated from recursion and input iteration. It is not yet isolated from the way the output is built (conj in both cases) and the actual function (inc and odd? respectively). But let's take baby steps and do some renaming: map and filter can be renamed reduce because that's what they are now. Second, we can extract two new functions called "mapping" for map and "filtering" for filter:
;; refactoring step 2: rename and reuse. (defn reduce [f result coll] (if (not= '() coll) (reduce f (f result (first coll)) (rest coll)) result)) (defn mapping [result el] (conj result (inc el))) (reduce mapping [] (range 10)) (defn filtering [result el] (if (odd? el) (conj result el) result)) (reduce filtering [] (range 10))
reduce encapsulates the iteration and the sequential access mechanism. But there is still a problem with "mapping" and "filtering": if we wanted to use them on a core.async channel for instance, we'd need to abstract conj away (because conj doesn't work on channels). We can't modify "mapping" or "filtering" interface, because it is part of the reduce contract. But we can add a parameter "rf" (for Reducing Function) in a wrapping lambda and return another function of two parameters:
;; refactoring step 3: extract output construction parameter. (defn reduce [f result coll] (if (not= '() coll) (reduce f (f result (first coll)) (rest coll)) result)) (defn mapping [rf] (fn [result el] (rf result (inc el)))) (reduce (mapping conj) [] (range 10)) (defn filtering [rf] (fn [result el] (if (odd? el) (rf result el) result))) (reduce (filtering conj) [] (range 10))
We also need to extract inc and odd? which are just example functions and should be generically passed as parameters. Again, we don't want to alter the two arguments interface required by reduce, so we use another wrapping function and introduce the new parameter "f" (or "pred" for filter):
;; refactoring step 4: extract transforming and predicate functions. (defn mapping [f] (fn [rf] (fn [result el] (rf result (f el))))) (reduce ((mapping inc) conj) [] (range 10)) (defn filtering [pred] (fn [rf] (fn [result el] (if (pred? el) (rf result el) result)))) (reduce ((filtering odd?) conj) [] (range 10))
Finally, let's rename the relevant functions back to map and filter (because this is what they are after all):
;; refactoring step 5: final clean-up. (defn map [f] (fn [rf] (fn [result el] (rf result (f el))))) (defn filter [pred] (fn [rf] (fn [result el] (if (pred el) (rf result el) result))))
This is exactly how the single-arity versions of clojure.core/map and clojure.core/filter appear in the Clojure standard library (modulo some complexity related to multiple sequence arguments in map).
Along with the enriched versions of many sequential processing functions, Clojure 1.7 also introduced a new function called transduce that enables the use of map or filter without necessarily having to call reduce directly. This mainly improves readability:
(transduce (map inc) conj (range 10)) ;; same as: (reduce ((map inc) conj) [] (range 10))
The standard library also provides transducers awareness in other places. The new versions of sequence and into for example, remove the need for an explicit conj:
(sequence (map inc) (range 10)) (into [] (map inc) (range 10))
conj is not explicit because the reducing function can be inferred from the specific call to sequence (because we want to build a sequence) or into [] (we want to build a vector). Now that we have the basic recipe, it's time to put the new construct in practice and see how they can be used for our daily programming.
Conclusions
The article shows that transducers are built on top of a simple functional abstraction and there is nothing magic happening under the hood. Apart from the interesting refactoring exercise, transducers have deeper consequences in terms of reusability, composability and performance that we are going to explore in the second part of this article.
Clojure The Essential Reference
Did you enjoy reading this article? You might find my book Clojure: The Essential Refence also interesting! The book has an entire chapter dedicated to all the functions related to both reducers and transducers. There you can find more examples and insights.
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1M Words Week: McStrome & Daemons
Day 1 | Day 2 | Day 3 | Day 4 | Day 5 | Day 6 | Day 7
Another opening of an unfinished story for 1M Words Week! This one I had ENTIRELY forgotten I’d come up with until I found it in my files last week. Not sure if this particular iteration of the story will go anywhere, but I love the premise. It’s a bit of a twist on the normal daemon rules, as you’ll notice.
Connor always feels guilty when he makes Escal change forms. She used to do it all the time when he was younger, of course—she barely went an hour in the same form, and when she watched his hockey games she would take a new form every few seconds, snake bear to mouse to wolf as Connor got the puck and lost it and ducked and wove through opposing players. Then he turned twelve and she started shifting less and less often, until finally he woke up five days in a row with a songbird perched on his pillow next to him.
He didn’t expect the songbird, particularly. Birds were supposed to be cool—everyone agreed that an eagle was a super awesome daemon, all broad wings and curved beak and sharp talons—but Connor didn’t think a sparrow really fell into the same category.
It felt right, though. It made him feel light, when she took off—like there was something buoyant in his chest that nobody could see. He needed that, sometimes. Needs it.
“Probably just means you’re flighty,” Dylan says at one point when they’re lying in his bedroom in his billet home, Escal perched on Arolin’s back and grooming his fur.
Connor snorts. “Yeah? What does that make you?”
“A dog-like servant of authority, obviously,” Dylan says, and Arolin barks at him, a short, sharp sound. He runs a hand over her russet fur in apology.
It’s easier for Dylan and Arolin at team events, Connor knows. Arolin says it’s the fur: otter fur is shorter and a different texture than her usual, but it’s still fur. And otters are smaller than Irish Setters, but not by that much, and she still has four legs and a tail and all her normal body parts.
Connor and Escal don’t need to talk about what makes sparrows and otters so different. It’s obvious every time she shifts and he feels the otter’s heaviness settle into his bones. It’s like there’s something tugging him, a weight draped across his shoulders that isn’t usually there. It messes him up on the ice for the first few games, until he gets used to it.
“It’s not that bad,” Escal says at a team banquet in their first year with the Otters. It’s the first time she’s had to take the form for more than twenty or thirty minutes at a time, and she’s been scratching at her fur for the last hour. “You have to wear a suit.”
“Yeah,” Connor says, even though he knows it’s not the same. But there’s nothing either of them can do about it, so they might as well pretend.
Her foot inches back up to her haunches, scratching. Connor slides his hand into her fur to soothe the spot.
***
They start practicing the other mascots a couple of months before the draft lottery. It’s pretty obvious what teams are going to be in contention for the first spot, and it’s been obvious to everyone for months—no point in denying it—that Connor’s going to go first. But he practices all the mascots anyway. It would be so embarrassing to go up on that stage and not have his daemon be able to shift correctly.
It’s not hard to get the right general animal type. Escal doesn’t shift a lot these days, but most of these are animals she’s done at some point: bear, lion, duck. The penguin is funny: Escal waddles around for five minutes before she stops laughing.
“I wouldn’t mind that one,” she says. “Ridiculous bird, but it feels a little bit the same, you know?”
“Your bill is the wrong shape,” Connor says, and she uses it to bite at him a little.
That’s the tough part: these teams always have a specific look they’re going for with the daemons. The Bruins, for example—on the rare occasions Escal’s been a bear, she’s been a black bear. Getting her into a grizzly form takes the better part of an afternoon, and she hates it when she gets there, sulking hulkily in the corner and picking her teeth with her claws. Connor kind of feels like he’s hanging out with the monster under his bed.
The cats are the worst, though. “I feel like I should be hunting myself,” Escal says when she’s trying out the panther. The fur over her shoulders ripples.
“Think of it like Halloween,” Connor says. “Being something totally opposite.” But they’re both uncomfortable until she turns back.
The Preds’ cat is the hardest. “I can’t,” Escal says after the fifth time she tries to turn into a saber-tooth and ends up as a house cat. “It just doesn’t feel real.”
“Well, it’s not anymore,” Connor says. But a whole team of guys manage to do it multiple times a week, and they eventually do too: Escal stalking around the bedroom like an illustration in a natural history museum and turning back as soon as she feels like it’s solid.
It’s a tiring few weeks. Connor always comes away from their practice sessions drained and itchy, like he’s wearing the wrong skin, and Escal is worse. She takes off flying for longer than she ever does normally and then sits on his shoulder and preens her feathers for the rest of the night.
By unspoken agreement they leave the Red Wings for last. Escal sits on his hand, and Connor barely feels anything when she shifts from a sparrow to a cardinal. It’s still wrong—sparrows and cardinals are very different birds—but it’s like looking at himself in the mirror with a different haircut, rather than looking at a picture of a stranger. This one actually is the equivalent of wearing a suit.
“They’re not in the bottom eight, though,” she says after she spends two hours as a cardinal and turns back without either of them being bothered.
“You never know what will happen,” Connor says, and then he feels bad about it, like maybe she’ll think he’s lying to himself about how likely it is.
The thing is, this is his dream, not hers. Connor knows that’s how it works: humans live their lives, and their daemons are part of that, but humans call the shots, really. It’s not like daemons are off pursuing independent careers. But most people don’t pick careers that ask their daemons to make this kind of sacrifice.
Escal rubs her head against his ear, feathers tickling. “It’s just like training,” she says. “This is my kind of training.”
He runs a finger along her wing. It’s all the response he can make.
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Loop summation with MLIR
MLIR is not a programming language in a broad sense. As the name suggests, it’s an intermediate representation to express the middle-level structure of the program. This framework is so versatile and flexible by employing the plugin architecture inside. It might be possible (and even natural) to write our program with MLIR by hand. MLIR is powerful in representing the high-level structure we recognize when writing algorithms. I tried to run a simple program adding up all values from 0 to 10 (inclusive).
Affine Dialect
It is straightforward to use Affine Dialect to implement the nested loop in MLIR. The syntax is very similar to what we see with the higher-level programming language like C/C++ and Java. affine.for is an operation representing a loop containing a region in its body. It gets three operands, lower bound, upper bound, and step value.
affine.for $i = 0 to 11 step 1 { // Body }
This code iterates the SSA value $i from 0 to 10. Step operand is optional. The block in affine.for should have one terminator operation affine.yield. This operation yields zero or more SSA values from an affine op region. In this case, we will use this operation to return the final summation value. iter_args is helpful to retain the loop-carryed variables, which are in the scope of the body region of affine.for. This value holds what is returned by the termination operation affile.yield. We will use %sum_iter to keep the current accumulated value.
In addition to the affine dialect, we need to use Arith Dialect, which holds basic integer and floating-point mathematical operations. We utilize this dialect to initialize the constant and add operations.
As a whole, the program will look as follows.
func.func @main() -> i32 { %sum_0 = arith.constant 0 : i32 %sum = affine.for %i = 0 to 11 step 1 iter_args(%sum_iter = %sum_0) -> (i32) { %t = arith.index_cast %i : index to i32 %sum_next = arith.addi %sum_iter, %t : i32 affine.yield %sum_next : i32 } return %sum : i32 }
Lowering to LLVM
To run the program in MLIR, we need to lower it to the lowest level in the executable format. That means converting one dialect to another dialect in the MLIR sense. We will convert affine and arithmetic dialect to LLVM dialect first. mlir-opt is a handy tool to achieve that type of conversion.
$ mlir-opt \ --lower-affine \ --convert-arith-to-llvm \ --convert-scf-to-cf \ --convert-func-to-llvm \ --reconcile-unrealized-casts sum.mlir module attributes {llvm.data_layout = ""} { llvm.func @main() -> i32 { %0 = llvm.mlir.constant(0 : i32) : i32 %1 = llvm.mlir.constant(0 : index) : i64 %2 = llvm.mlir.constant(11 : index) : i64 %3 = llvm.mlir.constant(1 : index) : i64 llvm.br ^bb1(%1, %0 : i64, i32) ^bb1(%4: i64, %5: i32): // 2 preds: ^bb0, ^bb2 %6 = llvm.icmp "slt" %4, %2 : i64 llvm.cond_br %6, ^bb2, ^bb3 ^bb2: // pred: ^bb1 %7 = llvm.trunc %4 : i64 to i32 %8 = llvm.add %5, %7 : i32 %9 = llvm.add %4, %3 : i64 llvm.br ^bb1(%9, %8 : i64, i32) ^bb3: // pred: ^bb1 llvm.return %5 : i32 } }
As you can see, there are several options to complete this conversion.
--lower-affine : Lowering affine dialect to standard dialect.
--convert-arith-to-llvm : Convert arithmetic dialect to LLVM dialect.
--convert-scf-to-cf : Convert structured control flow dialect to the primitive control flow dialect.
--convert-func-to-llvm : Convert func dialect to LLVM dialect.
We do not talk about them in detail here, but the final code in MLIR only contains operations from the LLVM dialect. (Note that they start with the llvm prefix). Finally, it’s ready to go down to LLVM IR!
Translate MLIR to LLVM IR
mlir-translate is another handy tool to convert the MLIR program into LLVM IR format. For example, put --mlir-to-llvmir option as follows.
$ mlir-opt \ --lower-affine \ --convert-arith-to-llvm \ --convert-scf-to-cf \ --convert-func-to-llvm \ --reconcile-unrealized-casts sum.mlir | \ mlir-translate --mlir-to-llvmir ; ModuleID = 'LLVMDialectModule' source_filename = "LLVMDialectModule" declare ptr @malloc(i64) declare void @free(ptr) define i32 @main() { br label %1 1: ; preds = %5, %0 %2 = phi i64 [ %8, %5 ], [ 0, %0 ] %3 = phi i32 [ %7, %5 ], [ 0, %0 ] %4 = icmp slt i64 %2, 11 br i1 %4, label %5, label %9 5: ; preds = %1 %6 = trunc i64 %2 to i32 %7 = add i32 %3, %6 %8 = add i64 %2, 1 br label %1 9: ; preds = %1 ret i32 %3 }
You may find several additional directives for debugging purposes. But the central part of the program should be identical. Now it should be able to execute.
$ mlir-opt \ --lower-affine \ --convert-arith-to-llvm \ --convert-scf-to-cf \ --convert-func-to-llvm \ --reconcile-unrealized-casts sum.mlir | \ mlir-translate --mlir-to-llvmir | lli $ echo $? 55
The program returns the summation value as an exit code correctly! If you enjoy the writing program at MLIR, please visit the MLIR website for more detail. You may find excellent examples or hint to implementing the algorithm in MLIR directly.
References
Affine Dialect
Arith Dialect
Learn LLVM 12
source http://www.lewuathe.com/loop-summation-with-mlir.html
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A friend of mine got me into a Marvel villain I’d never heard of til yesterday; Tiger Shark. He’s basically the militant, arrogant “royalty” version of King Shark, and one of Namor’s biggest enemies. And his oldest iterations were just some burly guy in a stupid-looking costume. But lately, he’s been portrayed as a mutated humanoid shark, and immediately, his appeal skyrocketed for me.
He’s also a canonical pred and big eater in these iterations, going as far as to have eaten a freakin’ meat truck, and making quite a few predatory comments towards enemies he considered prey. On top of that, he’s voiced by Matthew Mercer; having that right mix of aggression, arrogance, fierce, focused, militant confidence, and the right amount of youth to not just sound like ‘grumbly monster guy.’
So, as a result, I was inspired to whip this up, drawing my own version of the Avengers Assemble version; same body type and facial structure, more modernized, villain suit. I’ll probably draw or write about him in the future in a predatory situation.
And be assured, he’ll be much fuller in my next image. ;)
#avengers assemble#tiger shark#predator#big eater#villain#prince namor#marvel comics#oral vore#fatal vore#shark#fangs#king shark#drawings#my artwork#sketches#hand drawn sketches#claws
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CS2134-Homework 3- Write a function template called print if Solved Homework 3 Fall Programming Part: 1. Write a function templatethat called print if : • takes three parameters: two iterators start, end, and a functor pred start and end have the capabilities of a forward iterator, and refer to a range…
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