投稿時間:2023-04-30 19:12:37 RSSフィード2023-04-30 19:00 分まとめ(14件)

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TECH	Techable（テッカブル）	アクセサリー感覚で楽しめる「ambie」耳をふさがないイヤカフ型イヤホン	https://techable.jp/archives/204136	ambie	2023-04-30 09:30:10
TECH	Techable（テッカブル）	乗用車4台分のタイヤを高速充填。「M12 充電式空気入れ」税込1万6,280円で販売中	https://techable.jp/archives/204986	合同会社	2023-04-30 09:00:32
python	Pythonタグが付けられた新着投稿 - Qiita	世界最古のボードゲーム『マンカラ』で後手の必勝法を見つける	https://qiita.com/guglilac/items/ab516f20475556b53417	quizknock	2023-04-30 18:26:28
js	JavaScriptタグが付けられた新着投稿 - Qiita	[TypeScript] タグ付きテンプレートの書き方 2. 応用編: 正規表現	https://qiita.com/sugoroku_y/items/3fa6b550399db629647b	typescript	2023-04-30 18:52:46
js	JavaScriptタグが付けられた新着投稿 - Qiita	LINE Messaging APIで音声や動画データを取得し保存するするとデータが空もしくは欠損している事象が発生した。	https://qiita.com/nagauta/items/73ad7dd5372e9d9a0d2d	cpuapplemosmacosm	2023-04-30 18:27:14
Azure	Azureタグが付けられた新着投稿 - Qiita	【2024年版】ChatGPT APIを社内利用する時に採用すべきアーキテクチャを考えた	https://qiita.com/yuno_miyako/items/ce80002adf76bd321ad3	chatgptapi	2023-04-30 18:11:23
Git	Gitタグが付けられた新着投稿 - Qiita	「プルリクエスト」はGitの機能じゃない	https://qiita.com/maogeng/items/9c1550ab0102311ea1dd	久しぶり	2023-04-30 18:59:13
技術ブログ	Developers.IO	Google Cloud Storage で削除されたフォルダを復元する	https://dev.classmethod.jp/articles/gcs-restoring-deleted-folder/	googlecloudstorage	2023-04-30 09:45:21
海外TECH	DEV Community	Say Goodbye to Messy Constants: A New Approach to Moving Constants Away from Your Model!	https://dev.to/vladhilko/say-goodbye-to-messy-constants-a-new-approach-to-moving-constants-away-from-your-model-58i1	Say Goodbye to Messy Constants A New Approach to Moving Constants Away from Your Model Overview In this article we will discuss the usage of constants in a Rails application We ll take a deep dive into the existing approaches of defining constants in Rails including the use of configuration files initializers and model files We ll also examine the pros and cons of each approach We ll then provide a better approach to defining constants in Rails We ll discuss the benefits including how they can help prevent errors and make it easier to change values throughout the application We ll also consider best practices for using constants in Rails such as using meaningful names and limiting the scope of constants Finally we ll implement a production ready solution that solves most of the problems associated with the standard approach By the end of the article we will have a clear understanding of how to use constants in our Rails application and we will be able to implement a more efficient and effective approach to defining constants DefinitionIn simple terms a constant is a special kind of value that never changes while a program is running What standard options do we have for defining constants in Rails ‍ ️When it comes to defining constants in Rails we have a few standard options to choose from Let s take a closer look at three of them Option Don t define constants at all and just use simple primitive data types such as strings numbers or symbols Option Define constants within the classes or modules where they are used Option Define global constants either in initializers or at the Rails configuration level Option Don t define constants at all and just use simple primitive data types such as strings numbers or symbols As an example let s consider the following scenario def update animal Animal update type cat render json animalendIn this example we re just using the string cat instead of defining a new constant The main advantage of this approach is its simplicity but there are many potential problems that may appear in the future Let s discuss them more closely Problems Typos and errors When using strings instead of constants it s easy to make typos or use slightly different string literals which can lead to errors that are difficult to debug Maintenance and refactoring If you use the same string literal in multiple places throughout your code it can be difficult to change or update the value later on This can make your code harder to maintain and refactor Inconsistency If different parts of your code use different string literals to represent the same value it can lead to inconsistencies and make your code harder to understand Lack of systematization It s not clear to which domain or model this string belongs nor what other options are available As a result everything is scattered throughout the app leading to disorganization and difficulties in maintenance and modification Option Define constants within the classes or modules where they are used The second option suggests defining a new constant somewhere on the business logic level for example in the model service or module Let s take a look at this code frozen string literal trueclass Animal lt ApplicationRecord TYPES cat dog pig COLORS green red white blue endWe ve defined a constant array on the model level It solves some problems that were introduced in Option such as Typos and errors Inconsistency and Lack of systematization However we still have the following problems Problems The interface is not user friendly You cannot access a green color for example by simply doing Animal COLORS green Therefore you have to define a new constant for example COLOR GREEN green COLOR WHITE white for each color or use a hash Having a large number of constants in your model increases the model s complexity and reduces its readability ultimately making it harder to maintain You cannot define and use something that is not related to the business logic in the model For instance default system data such as limit offset and pagination cannot be defined in the model This increases cognitive load and you have to always think about the best place to keep such data When you define a constant within a class or module in your Rails model it will only be accessible within that class or module This can be problematic if you need to use the constant elsewhere in your code as you may have to duplicate it or use an unattractive model prefix to access it Option Define global constants either in initializers or at the Rails configuration level In this option we will consider defining constants at the global level There are two ways to do it Define constants in the initializer fileDefine constants in the configuration file Define constants in the initializer fileWe can define the constant in the initializer file for example in config initializers animal rb config initializers animal rbTYPES cat dog pig COLORS green red white blue This way the constants will be loaded with the Rails application and can be accessed globally throughout the application The main problems of this approach are Non user friendly interfaceLack of namespacesDifficulty in maintenance and scalability Define constants in the configuration fileTo overcome the disadvantages mentioned above we can try using the following approach creating separate YAML files containing all of our data for each model Here s an example config animal ymltypes cat dog pigcolors green red white blueThen we will load this data in the config application rb config application rb config animal YAML load file Rails root config animal yml After that all data will be available by using the following interface Rails configuration animal types gt cat dog pig colors gt green red white blue Although it solved some of the problems it still looks strange Therefore we are going to implement a new approach that will gather all the advantages from every approach we discussed here A new approach for defining constantsIn this section we ll consider creating a custom approach for defining constants to solve the problems that were mentioned above We will start by gathering requirements then we will define the interface After that we will implement three approaches to show the evaluation from the simplest to the production ready approach RequirementsLet s describe what we want to achieve in the end Our custom constant should meet the following requirements The constant should be available globally The constant should have a clear and straightforward interface The constant should be easily extendable and maintainable The constant should be frozen and not modifiable after initialization The constant should be namespaced to avoid overwriting InterfaceWhat interface do we want for our custom implementation Personally I would like to have something that looks like Rails configuration animal from Option that we discussed earlier but with additional features Direct access to any array element Rails configuration animal types cat gt catRails configuration animal types dog gt dogAbility to return all values from the defined array Rails configuration animal types values gt cat dog pig Rails configuration animal colors values gt green red white blue Using a name that is related to constant instead of Rails configuration Constants animal types cat gt cat Keep constants namespaced for each separated model Constants animal types cat gt cat Constants car types truck gt truckPutting it all together we get the following interface Constants animal types cat gt cat Constants animal colors green gt greenConstants car types truck gt truckConstants animal colors values gt green red white blue Constants car types values gt sedan minivan truck ImplementationWe ll look at three different options for addressing the issue beginning with the most straightforward and ending with the most comprehensive solution Option One class module that contains all the methods In this option we will initiate a new module called Constants and add methods for each model that will return us OpenStruct objects with all required data So we would have something like this lib constants rb frozen string literal truemodule Constants def self animal types cat cat dog dog pig pig colors green green red red white white blue blue OpenStruct new types OpenStruct new values types values types freeze colors OpenStruct new values colors values colors freeze freeze end def self car types sedan sedan minivan minivan truck truck OpenStruct new types OpenStruct new values types values types freeze freeze endendAnd our interface would look like this Constants animal types values gt cat dog pig Constants car types values gt sedan minivan truck Constants car types truck gt truck The interface looks good but we still have many open issues that don t align with our requirements like these ones It is hard to maintain and extend because everything is in one place There is a high risk of breaking something because we have to create every method from scratch There is a high risk of invalid methods because no error is raised if a non existent constant value is requested Constants car types not exist gt nilThat s why we need to build a more scalable and reliable solution Let s consider Option Option Storing constants in YAML filesIn this option we will improve scalability and move all our constant data to YAML files as we did in the example with Rails configuration above Here is our plan Step Create a new YAML file for each model Step Load all these YAML files and combine them into one big hash Step Transform this hash into a nested OpenStruct object Step Assign this new OpenStruct object to a single constant Step Create a new YAML file for each model In this example we will create files animal yml and car ymlanimal yml config constants animal ymlanimal types cat dog pig colors green red white blue ages one week week one month month one year yearcar yml config constants car ymlcar types sedan minivan truck Step Load all these YAML files and combine them into one big hash To achieve this we can do the following constant hash Dir glob File join config constants yml reduce do hash file path hash merge YAML load file file path end gt animal gt types gt cat dog pig colors gt green red white blue ages gt one week gt week one month gt month one year gt year car gt types gt sedan minivan truck Step Transform this hash into a nested OpenStruct object To transform the hash into a nested OpenStruct object we can define the following method in the Hash class class Hash def to open struct JSON parse to json object class OpenStruct endendAnd then use this method on the hash constant open struct constant hash to open structconstant open struct animal types gt cat dog pig constant open struct animal ages one week gt week Step Assign this new OpenStruct object to a single constant Finally we need to create a new constant and assign this new OpenStruct to it in the Rails initializer config initializers constants rb frozen string literal trueRails application config after initialize do Kernel const set Constants constant hash to open struct endNow we have the following interface Constants animal ages one month gt month Constants animal types gt cat dog pig Constants car types gt sedan minivan truck This solution is much more flexible now but there are still many open problems Constant values are not frozen Without the hash it is not possible to access elements from an array For example the following constant Constants animal types cat doesn t work The OpenStruct performance is not good That s why we need to consider Option to fix these problems Option Production Ready SolutionIn the final solution we aim to preserve all the advantages and address the drawbacks of the previous solution This solution will be nearly identical to the previous one except for one difference we will create a new custom class instead of using OpenStruct To implement this we need to follow these four steps Step Create a new YAML file for each model Step Load all these YAML files and combine them into one big hash Step Create a new custom class to store our core logic for the new constant object Step Transform the hash from Step into an instance of the class created in Step Then assign this object to a new constant Step Create a new YAML file for each model As a first step we ll add YAML files just like we did in the previous option animal yml config constants animal ymlanimal limit types cat dog pig colors green red white blue ages one week week one month month one year yearcar yml config constants car ymlcar types sedan minivan truck Step Load all these YAML files and combine them into one big hash At the second step we will load all YAML files and combine them into one big hash as we did in the previous option Additionally we will wrap it in a separate class for our convenience lib constant load rb frozen string literal truemodule Constant class Load def initialize path path path end def call Dir glob File join path yml reduce do hash file path hash merge YAML load file file path end end private attr reader path endend Step Create a new custom class to store our core logic for the new constant object Let s take a look at the implementation here s how our new class will look like Don t worry if it seems complicated we ll go over how this class works later lib constant model rb frozen string literal truemodule Constant class Model def initialize constant hash constant hash constant hash deep symbolize keys freeze end def deep transform tap constant hash each key value define singleton method key initialize value value end provides missing hash methods for example values etc delegate missing to constant hash private attr reader constant hash def initialize value value case value when Hash then Model new value deep transform when Array then Model new value index by amp itself deep transform else value freeze end end endendThe idea behind this class is as follows We send a hash from Step as an argument We iterate over each key of this hash and define a new method for each key for example hash animal limit def animal endIn this method there are three options that we can return depending on the value of the key Primitive type If the hash value for this key is a primitive type for example a string symbol integer then we return this value hash limit def limit end Hash If the value for this key is a Hash then we return an instance of our new class with this value as an argument hash animal limit def animal Constant Model new limit deep transformend Array If the value for this key is an Array we transform this array into a hash and return an instance of our new class with this value as an argument hash with array types cat dog hash with hash types cat cat dog dog def types Constant Model new cat cat dog dog deep transformendAnd don t forget to freeze everything That s it Step Transform the hash from Step into an instance of the class created in Step Then assign this object to a new constant Our final step is to bind Step and Step and save the result to a new constant We will move this initialization into a separate class frozen string literal truemodule Constant class Initialize def initialize path constant name path path constant name constant name end def call Kernel const set constant name Model new load hash from yml deep transform end private attr reader path constant name def load hash from yml Constant Load new path call end endendAnd we will run this class in the initializer config initializers constants rb frozen string literal trueRails application config after initialize do Constant Initialize new path config constants constant name Constants callendAlright now we have our desired interface Constants animal types cat gt cat Constants animal colors green gt greenConstants animal limit gt Constants animal ages values gt week month year Constants animal colors values gt green red white blue Constants car types truck gt truckConstants car types values gt sedan minivan truck ConclusionHere s the main benefit that we receive using this new approach Clear Interface Maintenance and refactoring DRY code Data validity You can prevent typos and invalid data from being saved Systematization It s easy to understand which domain model a value belongs to and what other options are available Immutability Immutable values prevent accidental changes and ensure that the value remains consistent throughout your application Consistency You can ensure that the same value is represented consistently throughout your code	2023-04-30 09:40:38
海外TECH	DEV Community	GPT Graph: A Simple Tool for Knowledge Graph Exploration	https://dev.to/melbably/gpt-graph-a-simple-tool-for-knowledge-graph-exploration-257k	GPT Graph A Simple Tool for Knowledge Graph ExplorationAs a developer exploring and organizing information is a crucial part of the job That s why I wanted to share with you an open source tool that I developed called GPT Graph It is a knowledge graph explorer that utilizes the powerful GPT turbo model to help users explore information in an organized and intuitive manner I believe graphs are an excellent way to leverage LLMs in a variety of use cases including brainstorming studying and reasoning about topics and how they relate to each other What is a Knowledge GraphA knowledge graph is a type of database that is used to store and represent knowledge in a machine readable format It uses a graph based model consisting of nodes entities and edges relationships to represent information and the connections between them Knowledge graphs are often used to represent complex information in a structured and intuitive way making it easier for machines to understand and analyze They can be used in various domains such as natural language processing search engines recommendation systems and data analytics Why GPT Graph It s a unique way to explore information in an organized and intuitive manner With GPT Graph you can easily navigate through different topics discover new relationships between them and generate creative ideas It leverages the power of GPT to generate relevant and high quality content Unlike traditional keyword based searches GPT Graph takes a more semantic approach to explore the topics and generate the graph It helps to uncover hidden relationships between different topics and provides a comprehensive view of the entire knowledge domain Moreover GPT Graph provides a user friendly interface that allows users to interact with the graph easily Users can ask questions generate prompts and add their own ideas to the graph It s a powerful tool that enables users to collaborate brainstorm and generate new insights in a very efficient way Demo FeaturesThe ability to describe a specific query and generate a graph of related topics Auto generated prompts for generated nodes to discover more about the topic Custom prompts support asking questions and getting answers along with generated prompts to branch from your own ideas Markdown formatted descriptions ExampleAdding the following prompt as a starting point for the graph Solve x x Will solve the equation and provide these helpful prompts to expand your knowledge about Quadratic Equation What is a quadratic equation How do you derive the quadratic formula What are some methods to solve quadratic equations These auto generated prompts may vary from time to time based on used temperature parameter value Project DetailsThis project uses the following technologies and frameworks OpenAI GPT turbo modelTypescriptVue js JavaScript FrameworkAnt Design Vue UI FrameworkG Graph Visualization Engine Usagenpm installnpm run dev Content ParsingMost of the time GPT returns a consistent JSON object but unfortunately this is not always the case so additional layer added to extract actual JSON or transform it to the write format through jsonrepair library Content RenderingG library is used for canvas rendering and graph arrangement with custom nodes and edges Two tree graph layouts useddendrogram for vertical layoutmindmap for horizontal layout Model Parameterstemprature is used to get different and more creative responses every time you may play around with different values and check the output API KeyAn OpenAI API key is required to run the tool You can add your own key to  env file with the key VITE OPENAI KEY Check  env example file GitHub Repository Future EnhancementsWhile this is just a limited technical example I think there are many ways to improve it Here are some of the potential enhancements Use GPT message context with the path the user took to discover specific topics allowing the user to control the divergence of the information and get creative ideas through auto generated prompts or questions Use GPT inference capabilities to label topics and automatically connect or group related nodes Infer topics relations and add to edgesStore the result in a NoSQL database labeled with the primary input and retrieve it later to draw the graph and search instead of querying GPT again Allow users to add and delete custom nodes enabling them to use the tool as a powerful mind mapping tool with AI behind the scenes to provide creative ideas or discuss user created ones Use a normal graph structure instead of a tree graph DAG will allow developers and architects to design systems by adding different components and the flow of data then get GPT to generate mermaid diagram code for built graphs which opens up many possibilities Potential Uses for GPT GraphGPT Graph can be used in various domains where knowledge exploration is required Here are a few examples of how GPT Graph can be used Research GPT Graph can be used by researchers to explore new topics discover new relationships between them and generate new insights It can help researchers to get a comprehensive view of the entire knowledge domain and generate creative ideas Education GPT Graph can be used by students to study different topics discover new relationships between them and generate new insights It can help students to get a better understanding of the subject matter and generate creative ideas Architecture and System Design GPT Graph can be used by architects and designers to explore new solutions discover new relationships between different components and generate new ideas It can help them to generate creative and innovative designs Business GPT Graph can be used by businesses to explore new opportunities discover new relationships between different markets and products and generate new ideas It can help businesses to innovate and stay ahead of the competition Overall the idea of using graphs with GPT can lead to building powerful tools that can be used in various domains where knowledge exploration is required It s a unique way to explore information generate new insights and collaborate with others in an efficient way GPT Graph is a limited technical example that demonstrates the concept However it can also serve as an excellent example of how to build GPT applications and use prompts as a developer to get results in a specific format and schema ConclusionI hope that this small project serves as an example for you and other developers on how to build GPT applications or better yet inspires you to create innovative tools that can be of assistance to others Feel free to check out the GitHub Repository and give it a try Or play with the online demo if you have an OpenAI API Key The Original Article Published on Medium	2023-04-30 09:28:18
海外ニュース	Japan Times latest articles	Ritsu Doan nets winner as Freiburg sees off Cologne	https://www.japantimes.co.jp/sports/2023/04/30/soccer/doan-freiburg-cologne/	champions	2023-04-30 18:21:43
海外ニュース	Japan Times latest articles	Nordic combined skier Akito Watabe plans to retire after 2026 Games	https://www.japantimes.co.jp/sports/2023/04/30/more-sports/winter-sports-more-sports/watabe-retirement-2026/	olympics	2023-04-30 18:04:27
ニュース	BBC News - Home	Nurses' strike: Concern for patients ahead of England walkout	https://www.bbc.co.uk/news/health-65412881?at_medium=RSS&at_campaign=KARANGA	england	2023-04-30 09:32:30
海外TECH	reddit	Congratulations to the winner of Ultimate Singles at Maesuma TOP #12!	https://www.reddit.com/r/smashbros/comments/133k94h/congratulations_to_the_winner_of_ultimate_singles/	Congratulations to the winner of Ultimate Singles at Maesuma TOP Top Bracket Main Stream VOD Side Stream VOD Place Player Sent to Losers by Eliminated by st ZETA ∣acola Steve nd FTG ∣Miya Mr Game amp Watch Tea acola rd ZETA ∣Gackt Ness acola Miya th Liquid Riddles Terry amp Kazuya Gackt Miya th ZETA ∣Tea Pac Man amp Kazuya Gackt Riddles th BUZZ ∣Neo Corrin acola Miya th CJE ∣Hero Bowser Miya Riddles th Revo ∣Yoshidora Yoshi Umeki Miya th SBI ∣KEN Sonic amp Sephiroth Neo Riddles th MoZe ∣Toriguri Banjo acola Hero th SST ∣Shuton Pyra Mythra amp Olimar Gackt Yoshidora th Rarukun Luigi Shuton Miya th PAR ∣Scend Ness Tea Riddles th Jogibu Captain Falcon Rizeo Hero th Oi George Min Min Miya Yoshidora th SZ ∣Asimo Ryu Eim Rarukun th Lima Bayonetta Shuton Scend th RG ∣Kameme Sora amp Sheik Repo Riddles th RG ∣Repo Mega Man Tea Jogibu th FTG ∣Ryuoh Diddy Kong Riddles Hero th RG ∣Eim Sheik Neo Oi George th SNB ∣Abadango Mr Game amp Watch Meta Knight Palutena KEN Yoshidora th MRG VGBC ∣ Umeki Daisy Toriguri Abadango th Nth ∣Nao Mario amp Cloud acola Rarukun th showers Inkling amp Pokemon Trainer Ron Scend th LG ∣Akakikusu Hero Nao Kameme th Sigma Toon Link KEN Jogibu th Roki Tendonman R O B Kie Ryuoh th Ron Yoshi Toriguri Oi George th MRG EnG ∣Omuatsu Min Min amp Steve Peranbox Yoshidora th Liquid Atelier Wolf amp Pokemon Trainer Riddles Asimo th Doramigi Min Min Neo Rarukun rd Tsubaki Joker Umeki Akakikusu rd SZ ∣Paseriman Fox amp Diddy Kong acola showers rd MRG ∣Kaninabe Fox Akakikusu Yoshidora rd KN ∣Noi Pokemon Trainer amp Olimar Nao Ron rd R ∣Cosmos Pyra Mythra amp Corrin Hero Omuatsu rd Ike Snake Scend Snow rd Niyae Steve Hero Ly rd LG ∣syumai Lucas Snow Scend rd Karaage Captain Falcon Gackt Rarukun rd BKROG ∣Mr R Sheik DIO Atelier rd MtsunabE Falco Lima Ryuoh rd DIO Snake Shuton Jogibu rd Shogun Snake amp Fox Abadango Roki Tendonman rd Liquid Dabuz Rosalina Olimar amp Min Min Doramigi Sigma rd Kie Peach KEN Doramigi rd iXA ∣Yaura Dark Samus amp Samus Shogun Asimo th Jagabata Duck Hunt Paseriman Tsubaki th RG ∣Manzoku Toon Link Yoshidora showers th Tsukuneya ∣Kyon Link showers Kaninabe th GSG ∣Gorioka Joker amp Sephiroth chiro Noi th Nyanchan Link Peranbox Omuatsu th Snow Mario Kameme Ike th KN ∣Ly Byleth Scend Niyae th saboten R O B Repo syumai th Crete Palutena Riddles Rarukun th Rizeo Isabelle MtsunabE Mr R th Jagame Greninja Shuton Ryuoh th Liquid Hungrybox Jigglypuff Karaage Jogibu th denKOTA Lucas Sigma Roki Tendonman th Ryuk R O B Raki Dabuz th Masha Wolf Abadango Kie th InC ∣Jahzz Ken Sigma Yaura th Nizemamo Bayonetta amp Kazuya acola Tsubaki th R ∣MuteAce Peach Toriguri Jagabata th Syupi Falco Noi showers th himo pechio Lucas Kaninabe Manzoku th Kuroponzu R O B Toriguri Kaninabe th TCArima ∣Lunamado Mii Brawler acola Kyon th Toura Samus Paseriman Gorioka th Sylph Sheik Tsubaki Noi th Revo ∣Kome Shulk Repo Nyanchan th Kaeru Mr Game amp Watch Tea Omuatsu th Sunea Steve alice Ike th Yadon Pyra Mythra Sunea Snow th Brood Piranha Plant Ike Niyae th Suinoko Young Link Miya Ly th Peranbox Steve Oi George syumai th alice Roy Cosmos saboten th Furararamen Isabelle Mr Game amp Watch Lima Crater th AMT ∣Merutoa Steve Crater Rarukun th HYAKUMAN ∣Shissho Dr Mario Hungrybox Mr R th sssr R O B CLAW Rizeo th KUSC ∣CLAW Mii Gunner Gackt Jagame th EHG ∣Eupho Corrin Mr R Ryuoh th Yn Zelda Atelier Jogibu th Senjin Byakko ∣Floyd Yoshi Rizeo Hungrybox th Rarikkusu Donkey Kong Neo Roki Tendonman th Masashi Cloud Asimo denKOTA th Kajin Snake Eim Ryuk th MTK Pit amp Dark Pit Az Dabuz th Takaberi Ken amp Ryu Asimo Masha th ononox Cloud amp Greninja Eim Kie th Futari no Kiwami Ah Ice Climbers Doramigi Jahzz th Noluck Mega Man Vanilla Yaura Grand Finals Mashita quot acola quot Hayato W Twitch Twitter Wiki ZETA DIVISION vs quot Miya quot L Twitter Wiki flat gaming acola Miya Win Steve Final Destination Mr Game amp Watch Win Steve Final Destination Mr Game amp Watch Win Steve Final Destination Mr Game amp Watch Generated by Tournament Tabler submitted by u itsIzumi to r smashbros link comments	2023-04-30 09:05:07