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#charb answers
chosaya · 5 months
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CHOSO ANGST NEXT😼😼🙏🙏🙏
ꕥ 𝐖𝐄𝐃𝐃𝐈𝐍𝐆 𝐃𝐈𝐒𝐀𝐒𝐓𝐄𝐑
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ꕥ genre; angst/no comfort, arranged marriage au, falling out of love.
ꕥ synopsis: arranged marriages don’t seem to go to according to plan, at least not for you.
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“I promise.”
those words replay in your head over and over like a never ending loophole.
promises are meant to be keeping things cherished mostly, but not this time around they’re are meant to broken in this case.
now you were here, standing in front of the church. the faint sound of the piano soothing sounds playing in the background as you and choso stood hand in hand in your wedding dress and him in his tailored suit, as everyone gathered into their seats as the pastor began the ceremony.
as new journey begins for you both.
the pastor soon raised his hands allowing the crowd to take their sweet before starting the wedding official, pushing his glasses onto the bridge of his nose—raising his head towards the two of you.
“Do you, take choso kamo to be your husband through in sickness and health?”
“Yes.” you replied feeling a bit nervous in the pit of your stomach, for few moments before choso is rubbing his thumb over your knuckles to soothing your unease, lucky to be marrying someone as kind as him.
“Do you, choso kamo take y/n to be your lovely wife in sickness and health, as long as you both shall live?” the pastor turned towards choso, who’s adjusting his tie a little swallowing harshly—feeling the bit of guilt wash over him as he doesn’t respond to the question yet.
“Choso..? c’mon..baby answer the question..” you replied, putting a hand on his shoulder to reassure him— that it’s fine to be a little nervous.
he swallowed harshly, clearing his throat loosing his tie a little feeling like as if his lungs are on fire before speaking up.
“I don’t. I can’t marry you y/n.” he said bluntly, feeling his voice trembling before he straightened up his position giving the ring back to the pastor shoving it onto the pillow.
the crowd went silent, some gasping in disbelief as choso says those words stepped down from the podium.
“wait choso..why?.on our wedding day is when you decided to dumped me??” you swallowed the feeling like your heart is breaking into pieces, like your whole world came crashing down in one day.
“I fell out of love you with you that’s why..” choso repiled, running his fingers through his tangled long black hair before looking you into your eyes seeing the tears pricking up into the corners.
“you don’t love me anymore..?” you replied stepping down from the stand, gathering up your bunched up wedding dress as you heels clicked to the ground as you made your way towards him.
“No.. I don’t love you the way I thought I did..” Choso responded back towards you, can’t handle seeing you this dreadful—and starting walking out of the church—leaving his rings, everything he promised he would be there forever all gone now.
you didn’t expect today to be like this, sitting down onto the podium—letting those tears slip down your cheeks after holding it together.
“I can’t believe this…” you mumbled to yourself, shaking your head sobbing into your wedding dress, smearing the makeup all over but you don’t care.
the person you thought was the best partner for you turned out to be the worst heartbreak, feelings your lungs on fire from the amount of times you’ve cried now.
you’ve lost count at this point.
arranged marriages never seems to go as they’re intended, choso made his way out of the church in a hurry walking down the street to his home, not paying attention to his surroundings only wanted to get as far as possible.
“I really did love you y/n..”
choso didn’t keep his promise he vowed, ignoring all the thoughts in his mind but he didn’t expect this to be impaled with a knife to the back, didn’t even realize it till he dropped to the ground—bleeding profusely with a smile on his face before his head dropped to the ground lifeless.
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@marimogf @screampied-main @honeybleed @preciousamethyst @rayemelanin @charbunxxi @softwiingz @suguella @sugu-cidal @spideyyeet @luxesiren @hoshigray @satorena @satoruhour @ryukenzz @moneygal0re @chososluv @chrollohearttags @kingkonoha @osamwah @osaemu @ramonathinks
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charbles · 6 months
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TRICK OR TREAT CHARBS!!
(i think me being a pvz zombie was the only correct answer LMAO)
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THE MNMS ARE MINI BECAUSE YOU!! ARE SMALL!!!! <3!!!!
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lanster · 3 years
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you
thank you so much babe i look just like him❤️
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oharaslair · 3 years
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slenderman is literally just a guy </3 just some dude
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slenderman following me around while ignore him and make fun of him in marble hornets
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cat-prisun · 4 years
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do you have any inculs blogs you would reccomend? i want to put more goodness on my dash :O
not me answering asks from months ago hh yes i do!!
@charb @romolite @aronarchy @yamchass @confetticourse @acesian @yveltal-yeets-nasties @enbyoctoling @furbearingbrick @a-greyace-aries uhh this is a self promo post now promote yourself if ur an inclus blog 👀👀
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evilneo · 4 years
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little silly guy vibe
This is the right answer everyone else go home 💕 everyone else log off its just me and Charb now /j
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ladyonly01-blog · 6 years
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vijayonstuff · 6 years
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Sync-o de Mayo!
I know it’s not May 5th yet. But, I don’t have enough Star Wars geek cred to pull off a “May the fourth be with you!” related pun. So, please bear with me.
Previously, I mentioned how the two magical words, “Operational Transforms,” a.k.a. “OT”, were the solution to all of my real-time syncing woes. So, what is OT? Before answering that, let’s first take a look at the problem we face with syncing.
Consider the scenario where two people, A and B, are simultaneously editing a simple document containing the text “hello!” initially.
The initial state of the document contains the text “hello!” at Version 0.
Person A makes an edit replacing the ‘h’ with a capital ‘H’ so that the document now says “Hello!” at their Version 1.
Person B makes an edit inserting the text “ world” before the ‘!’ to make it say “hello world!” at their  Version 1.
Now each person has arrived at a different state of the document, and we want to be able to merge their changes together to converge the divergent states back to a version of the document that contains both edits and says “Hello world!”
There is nothing new about this. We deal with this almost everyday in today’s workplace whether you are a developer merging changes in Git, or a product manager merging different versions of a Powerpoint slideshow, or a lawyer merging suggestions in a contract using Track Changes, or simply keeping your Dropbox / Google Drive in sync with your local folder. And regardless of what scenario you are dealing with, the solution is pretty much the same.
Diff, Sync, Merge.
You diff your version of the document, as well as the version that you want to sync with, against a common ancestor version from history to determine what exactly changed, and then determine how to merge both your changes. Finally, you sync the merged document back to the repository.
The Problem with Diff/Sync/Merge
Diff Sync Merge (aka Diff Merge) is a solid and proven way to perform merges, but it comes with one huge caveat. It needs multiple versions of the entire model to be retrieved/synced for performing sync and merge operations. Whether it was just a single character that was replaced, or the entire document, you still need access to the entire document to perform the diffs. This works well for use cases where you only have to sync relatively rarely.
But, if you want to build a real-time collaborative application a la Google Docs, the latency involved in pushing/retrieving entire document models back and forth on each individual edit would make it unusable. We need to rethink syncing and merging. We need a way to sync changes without syncing entire documents.
OT to the Rescue!
The basic premise behind operation transform is quite simple, and can be explained with the following diamond.
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You start at an initial model state m0. Client A performs an Operation A and arrives at model state mA. Client B simultaneously performs Operation B to arrive at model state mB. Now, given the pair of operations A and B, we need to find complimentary operations A’ and B’ such that mB + A’, and mA + B’ both converge back to a single model that both clients can sync back to. For example, Client A’s operation of inserting ‘!’ at the 5th index-0 position get’s transformed to inserting ‘!’ at the 4th index-0 position, after B’s operation of deleting the first character is performed. And B’s operation undergoes no transformation because A’s operation doesn’t affect it’s index.
The important thing to note here is that regardless of what the model was, those two operations will lead to the same exact transformed operation. For instance, if the initial model state was “namaste”, and we performed the same operations as above. We would arrive at the same synced state of “amas!te”.
If we can define transformations A’ and B’ for every possible pair of operations A and B, then we can achieve our goal of syncing changes without syncing documents.
Of course, figuring out the useful transformations for all the different combinations of A and B could get quite complicated, but once they’ve been figured out, OT will guarantee that the clients will arrive at a synced state.
I emphasize “useful” because one could easily define A’ and B’ to simply delete the entire model for any and all combinations of A and B. In that case, your clients would technically arrive at a synced state and satisfy OT’s requirements. But it would be an empty document, and that does nobody any good :/
So, let’s take our initial example of taking the string “hello!”, and the two clients A and B, with A replacing ‘h’ with ‘H’, and B inserting “ world” before the exclamation mark. These state changes and all other text manipulation can be achieved via a minimal set of 2 operations:
1. deleteCharacter(atPosition p) aka DELETE (index) 2. insertCharacter(character c, atPosition p) aka INSERT (char, index)
This implies there are 4 possible pairs of inputs for our OT diamond.
DELETE / DELETE
DELETE / INSERT
INSERT / DELETE
INSERT / INSERT
And we could define our transformation logic as follows:
Operation A Operation B Transform A' Transform B' DELETE (indexA) DELETE (indexB) (indexB == indexA) ? NO_OP : (indexB < indexA) ? DELETE(indexA - 1) : DELETE(indexA) (indexB == indexA) ? NO_OP : (indexA < indexB) ? DELETE(indexB - 1) : DELETE(indexB) INSERT (charA, indexA) DELETE (indexB) (index B < indexA) ? INSERT(charA, indexA - 1) : INSERT(charA, indexA) (index A <= indexB) ? DELETE(indexB + 1) : DELETE(indexB)</td> DELETE (indexA) INSERT (charB, indexB) (index B <= indexA) ? DELETE(indexA + 1) : DELETE(indexA)</td> (index A < indexB) ? INSERT(charB, indexB - 1) : INSERT(charB, indexB) INSERT (charA, indexA) INSERT (charB, indexB) (index A > indexB) ? INSERT(charA, indexA + 1) : INSERT(charA, indexA) (index B >= indexA) ? INSERT(charB, indexB + 1) : INSERT(charB, indexB)
There are a couple of interesting things to notice with the transforms we have defined.
First, we defined a new NO_OP operation to return for the case where both clients perform the same delete operation. This is to avoid double-deleting the wrong character.
And second, the >= in the last pair prioritize A's inserts over B's insert if they both insert characters at the same index. So if A inserted " Bob" and B inserted " World", the output will always result in " Bob World".
Note: If both added " World", we would end up with " World World", but in a real-time collaborative environment, this is acceptable. If we really care about avoiding duplicates, we could define higher level operations that look at word inserts and compare whole words/phrases for duplicates.
This transformation model works well for single character operation. But how do we handle a string of operations by each client? For instance, replacing 'h' with 'H' itself takes a minimum of two operations (a DELETE followed by an INSERT) and inserting " world" requires 6 INSERT operations.
Handling Multiple Operations
Once you’ve figured out the transformation logic for a single pair of operations, handling multiple operations becomes a no-brainer. It’s simply the same OT diamond cascading transformed operations as input to the next OT diamond.
Take the following example where A diverges by 3 operations, while B diverges by 2. To compute the transformed operations A1′, A2′, and A3′ to apply on client B, as well as B1′ and B2′ to apply on client A, you simply have to cascade your transformations down. Note that there are intermediate states and intermediate operations shown in the diagram below, but there is no need to store or even care about the intermediate models as OT works independent of model state as shown above with that really lame “amas!te” example :)
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In the above case, we had to perform transformations on 6 different OT diamonds. Basically, OT becomes a O(m*n) operation, where m & n are the number of operations the clients have diverged by. So, it is preferable to sync frequently keeping the count of operations to perform OT on pretty low.
Luckily, this suits really well for real-time collaborative use cases where we are syncing almost continuously after each and every edit.
Handling Multiple Clients
Syncing multiple clients is just as easy. We simply sync them sequentially and additively. Assume that you have 3 clients A, B, and C that have each performed 3, 2, and 2 operations respectively. To bring them all in sync, we first sync A (operations A1, A2, and A3) and B (B1 and B2) to determine A’ (A1′, A2′, A3′) and B’ (B1′, B2′). Now both A + B’ and B + A’ lead to the same synced state mAB for both clients.
We can now take one of these equivalent paths (either A1, A2, A3, B1′, B2′ or B1, B2, A1′, A2′, A3′), and sync that with C to determine C1′ and C2′, as well as the transformed operations to apply on client C. Let’s take the first path A1, A2, A3, B1′, B2′ for illustrating how this works. The sync would work as shown in the following diagram.
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It’s not shown clearly in the diagram, but C1′ and C2′ are operations that get applied on both A and B, which are currently both at state mAB, to bring all three clients to the same synced state mABC. And we can follow this same technique and extend it to as many clients as we need to sync.
That was just a brief intro to Operational Transformations which forms the basis for real-time collaborative tools such as Google Docs, Dropbox Paper, and Apple iWork. Hopefully, it made sense, and you got to learn something new.
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oharaslair · 3 years
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sans has 10 BILLION pronouns (good)
i sit on top of a throne of neopronouns and xenogenders i've created and nobody can dethrone me
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sunnydwrites · 5 years
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do you have any tips for writing a character arc for a character who's prejudiced? it's set in a kind of badly integrated world where the supernatural is attempting to coexist with humans and the MC attends a school that's considered progressive in the fact that their opening up to supernatural that can't pass as humans, and their best friend (selkie) confronts them about their bias at one point, but I don't know how to write an improvement? arc I guess.
Okay so! Giving advice on writing any sort of character arc can be difficult because the situation varies (a lot) depending on exactly who the character is and your goals for the narrative - how fast you want this change to occur, how you want other characters’ perceptions of this character to change, etc.
But generally, if you’re writing a character who is attempting to grow from their own prejudices, consider including:
Metacognition. Let your character think about what they’re thinking about, and why. Why am I thinking like this? may be a common question, but if your character is trying to change their own thought process then there will likely be a good amount of self-reflection and thought monitoring.
Something like copy-catting. If you character is trying to grow and they see someone who is already in the place they’d like to be, CharA may try to emulate CharB in terms of actions and words spoken. 
Guilt. Your character will likely realize at some point that they way they’ve been thinking it very much wrong, and their character type will determine how they react. Often there’s some level of guilt associated with this, but the exact reaction isn’t something I can choose for you.
Like I said before, this is an extremely subjective topic from character to character; what I’m saying here shouldn’t be used as a cookie-cutter arc type, but if you have any other questions I’d be happy to answer them!
If you liked this post, please consider buying me a coffee!
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oharaslair · 3 years
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omori is like top 10 psychotic media for real i think ud like it :)
the moment i saw the white space i was like. huh that sure is familiar
this better not awake something in me /lh
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oharaslair · 3 years
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I KEEP THINKING ABOUT IT BUT im so so glad that my flag means so much to you :) /gen thats so sweet thank you so much
IT JUST. IT MAKES ME SO HAPPY!!!!! it's so hard for me to find anything related to psychosis that isn't dehumanizing and you made a FLAG a happy flag and AAAAAAA
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