Doyensec

doyensec

COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 24 of 42. 22. The 12 March 2008 Kleiman emails 415. There are two different versions of the 12 March 2008 email from Dr Wright to David Kleiman. The first was the Third Pleaded Example in COPA’s Particulars of Claim, contained in {ID_001318}. The second is {ID_000465}, produced in Dr Wright’s original disclosure. Both are alleged by COPA to be forgeries. They differ only in the domain from which the email was supposedly sent and in part of Dr Wright’s explanations. 416. Understandably, COPA pleaded the Third Pleaded Example because it was one of the few publicly available documents when COPA commenced this claim. Although the Third Pleaded Example (i.e. {ID_001318}) comes first procedurally, {ID_000465} appears to be the original email and was the focus of the expert analysis. 417. I explain each version first, and then set out the detail concerning ID_000465. (a) (Particulars of Claim at [28] – [29] {A/2/10}) The Third Pleaded Example ID_001318 418. In the Kleiman litigation in the United States involving Dr Wright (which is still ongoing), it is alleged that Dr Wright stole a substantial amount of Bitcoin and related intellectual property assets from a company named W&K Info Defence Research, LLC, after the death of its founder, David Kleiman, by forging documents (the “Kleiman Litigation”). In those proceedings Wright asserts that he sent an email to David Kleiman on 12 March 2008 which shows him to be the originator of the idea of Bitcoin. This version is the copy forwarded to Ira Kleiman (brother of David Kleiman) on 6 March 2014, when Dr Wright was seeking to persuade the Kleiman family to accept his claim to have created the Bitcoin system in collaboration with David Kleiman {ID_001318}. The email he claims to have forwarded is as follows: (b) COPA’s reason for alleging forgery. 419. The domain used by the sender of this email is ‘information-defense.com’, which was not created until 23 January 2009. For that reason, COPA allege that the email could not have been sent in 2008 as claimed from the “craig.wright@information-defense.com” email address and is a forgery. (c) Dr Wright’s Explanations 420. In his Defence, Dr Wright claimed that he sent an email to Mr Kleiman on 12 March 2008 and that “the body of the email [cited in COPA’s Particulars of Claim] is the same as the email which Dr Wright sent on 12 March 2008”. However, he claimed that the header was different and that he believed “that the difference has arisen as a result of the original email being moved from one exchange server to another”: Defence [50] {A/3/17}. In his fourth statement (from para. 93), he gave a supposed technical explanation for the email address having changed in this email as the result of mailboxes being moved from server to server: {E/4/31}. 421. In Appendices B and C to Wright11, Dr Wright changed his account entirely. He claimed that he had written an email to Mr Kleiman on 12 March 2008 which contained the first two paragraphs of the email above, but not the third paragraph. He accordingly claimed that all versions of the email in disclosure (all of which include the third paragraph) are fake. He said that the document had been faked by his enemies for deployment against him. See: {CSW/2/44}; {CSW/3/7}. 422. Dr Wright’s final explanation was an assertion that the authentic email is on a QNAP server, to which he does not have access. Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.

This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 24 of 42. COPA v. Wright, Court Filing, retrieved on January 29, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part of this filing here . This part is 24 of 42. HackerNoon’s Legal PDF Series HackerNoon’s Legal PDF Series here here 22. The 12 March 2008 Kleiman emails 415. There are two different versions of the 12 March 2008 email from Dr Wright to David Kleiman. The first was the Third Pleaded Example in COPA’s Particulars of Claim, contained in {ID_001318}. The second is {ID_000465}, produced in Dr Wright’s original disclosure. Both are alleged by COPA to be forgeries. They differ only in the domain from which the email was supposedly sent and in part of Dr Wright’s explanations. 416. Understandably, COPA pleaded the Third Pleaded Example because it was one of the few publicly available documents when COPA commenced this claim. Although the Third Pleaded Example (i.e. {ID_001318}) comes first procedurally, {ID_000465} appears to be the original email and was the focus of the expert analysis. 417. I explain each version first, and then set out the detail concerning ID_000465. (a) (Particulars of Claim at [28] – [29] {A/2/10}) The Third Pleaded Example ID_001318 (a) (Particulars of Claim at [28] – [29] {A/2/10}) The Third Pleaded Example ID_001318 418. In the Kleiman litigation in the United States involving Dr Wright (which is still ongoing), it is alleged that Dr Wright stole a substantial amount of Bitcoin and related intellectual property assets from a company named W&K Info Defence Research, LLC, after the death of its founder, David Kleiman, by forging documents (the “Kleiman Litigation”). In those proceedings Wright asserts that he sent an email to David Kleiman on 12 March 2008 which shows him to be the originator of the idea of Bitcoin. This version is the copy forwarded to Ira Kleiman (brother of David Kleiman) on 6 March 2014, when Dr Wright was seeking to persuade the Kleiman family to accept his claim to have created the Bitcoin system in collaboration with David Kleiman {ID_001318}. The email he claims to have forwarded is as follows: (b) COPA’s reason for alleging forgery. (b) COPA’s reason for alleging forgery. 419. The domain used by the sender of this email is ‘information-defense.com’, which was not created until 23 January 2009. For that reason, COPA allege that the email could not have been sent in 2008 as claimed from the “craig.wright@information-defense.com” email address and is a forgery. (c) Dr Wright’s Explanations (c) Dr Wright’s Explanations 420. In his Defence, Dr Wright claimed that he sent an email to Mr Kleiman on 12 March 2008 and that “the body of the email [cited in COPA’s Particulars of Claim] is the same as the email which Dr Wright sent on 12 March 2008”. However, he claimed that the header was different and that he believed “that the difference has arisen as a result of the original email being moved from one exchange server to another”: Defence [50] {A/3/17}. In his fourth statement (from para. 93), he gave a supposed technical explanation for the email address having changed in this email as the result of mailboxes being moved from server to server: {E/4/31}. 421. In Appendices B and C to Wright11, Dr Wright changed his account entirely. He claimed that he had written an email to Mr Kleiman on 12 March 2008 which contained the first two paragraphs of the email above, but not the third paragraph. He accordingly claimed that all versions of the email in disclosure (all of which include the third paragraph) are fake. He said that the document had been faked by his enemies for deployment against him. See: {CSW/2/44}; {CSW/3/7}. 422. Dr Wright’s final explanation was an assertion that the authentic email is on a QNAP server, to which he does not have access. Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on January 29, 2024, judiciary.uk is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. judiciary.uk judiciary.uk

Two Emails, One Controversy: Unravelling Craig Wright’s Correspondence with David Kleiman 

Film Trailer Generation via Task Decomposition: Conclusions and References

টাস্ক ডিকম্পোজিশনের মাধ্যমে ফিল্ম ট্রেলার জেনারেশন: উপসংহার এবং রেফারেন্স

Filmtrailer-Generierung durch Aufgabenzerlegung: Schlussfolgerungen und Referenzen

Generación de avances de películas mediante descomposición de tareas: conclusiones y referencias

Génération de bandes-annonces de films via la décomposition de tâches : conclusions et références

टास्क डिकंपोज़िशन के माध्यम से फ़िल्म ट्रेलर निर्माण: निष्कर्ष और संदर्भ

タスク分解による映画予告編生成: 結論と参考文献

작업 분해를 통한 영화 예고편 생성: 결론 및 참고 자료

Geração de trailer de filme por meio de decomposição de tarefas: conclusões e referências

Генерация трейлеров к фильму посредством декомпозиции задач: выводы и ссылки

Görev Ayrıştırma Yoluyla Film Fragmanı Oluşturma: Sonuçlar ve Referanslar

Tạo đoạn giới thiệu phim thông qua phân tách nhiệm vụ: Kết luận và tài liệu tham khảo

通过任务分解生成电影预告片：结论与参考文献

The Corner Pub.

By Anton Trukhanov Among all the big technology trends popular today, Artificial Intelligence (AI) is probably the most universally welcomed and praised in the business world. The majority of businesses across industries recognize the enormous potential of this technology and are willing to adopt it as soon as possible. What are the biggest obstacles to AI implementation? Even though companies and decision-makers of the business world believe in AI’s big future and the power of this technology, many of them are not able to start implementing AI just yet. Costs and the lack of high-qualified talent are the main reasons. According to a by Forbes, 83% of companies say AI is a strategic priority for them today yet, there is not enough data science talent. And 40% of businesses by Deloitte said that the AI technologies and expertise are too expensive for them to implement at this point. report surveyed A widening AI talent gap is probably the biggest challenge for businesses wanting to utilize AI technologies in 2021. As companies are rushing to join the new high-tech innovations race, the demand for all tech specialists has increased with the supply unable to catch up. And in the AI field, this is especially the case. According to a by MMC Ventures, the demand for AI talent has more than doubled in 2018-2019 and continues to increase, with 60% of all AI specialists being absorbed by companies in the technology and financial services sectors. The pool of AI talent, however, remains small. report As AI demands advanced competencies in mathematics, statistics, and programming; the entry threshold level for this profession is really high, and educational institutions aren’t able to produce capable and qualified graduates fast enough to satisfy the business demand. Why is low-code the gateway to AI for businesses? And this is where low-code development platforms such as LANSA come in. Due to the above-mentioned challenges, in the last several years, companies were forced to jump on using low-code solutions as a way to build tools and applications that would allow them to utilize the power of AI and other latest tech innovations, quickly and without extensive financial resources. Low-code platforms turned out to be exactly the solution businesses needed, especially in the time of a significant economic and social turbulence such as the COVID-19 epidemic, when factors like flexibility, rapid customization, and scalability play an increasingly important role. According to a by Brandessence Market Research (indicating LANSA as one of the key market players), the volume of the global low-code development platform market was $12.85 bln in 2020, and it is expected to reach $65.15 bln by 2027 with a CAGR of 26.1% over the forecast period. report And the need to integrate AI and ML technologies into their daily operations is one of the biggest drivers of the rapidly increasing adoption of low-code platforms by companies all around the globe. What are the advantages of low-code AI solutions? Visual low-code and no-code platforms make AI technologies instantly accessible even to small and medium-sized companies. They allow businesses to build various kinds of custom applications and integrate different elements of AI and machine learning (ML) into them through third-party APIs. To understand why low-code platforms are undeniably the future of enterprise AI solutions development, let’s look at some of the core advantages of low-code AI compared to the traditional way of developing AI-focused solutions. 1. Much lower costs Low-code platforms basically enable companies to create fully-functional AI-powered solutions without the need to hire expensive AI experts, software developers, and other technical specialists. With low-code platforms, the cost of implementation of AI into daily business operations is much lower. 2. High accessibility Low-code makes AI solutions a lot more accessible on a number of levels, not just the financial. Visual and simple drag-and-drop solutions are more accessible to non-technical people and programming beginners, making AI less complex and thus, less intimidating for them. 3. High usability The simple user-friendly interface of low-code platforms also allows more people within an organization to collaborate on the creation and implementation of a custom AI-powered solution and contribute their perspective to the project, which often results in a more functional and effective final product. 4. Quick development and deployment Another major advantage of low-code platforms is speed. As they make the whole process of development and deployment of enterprise apps with AI a lot faster, this allows organizations to be more flexible and experiment with different versions or approaches to a problem. Which, again, results in higher quality in the end. 5. Great scalability Accessing sophisticated AI through third-party APIs also makes your solutions extremely scalable at no additional cost as the server power will automatically increase or decrease according to the current load and needs. 6. Gateway to other tech innovations. Finally, low-code platforms are probably the best way for companies, SMEs especially, to start utilizing other high-tech innovations as well, including Big data, IoT (Internet of Things), robotics, embedded systems, and so on. Low-code allows businesses to build solutions combining these and other technologies in a way that would serve their specific needs and requirements. How to create powerful AI apps with Visual LANSA? As you may know, is a powerful development environment pushing the boundaries of what we have traditionally considered as low-code. LANSA allows organizations to build anything from a basic application to handle tasks or send feedback to complex supply chain apps. When it comes to AI, multiple powerful AI solutions can be integrated into apps and tools made in Lansa’s low-code builder by using third-party REST APIs. Visual LANSA Let us give you a few examples of such APIs that can be easily integrated into LANSA solutions. Google Cloud Natural Language API Able to inspect the given text and identify the prevailing emotional opinion. Google Cloud Vision API Can detect and extract information about entities in an image, across a broad group of categories. Image Similarity API Compares two images and returns a value that tells you how visually similar they are. Super Resolution API Uses machine learning to clarify, sharpen, and upscale the photo without losing its content and defining characteristics. Fast Style Transfer API Applies artistic style to an image quickly by pre-training on specific style examples. DenseCap API Captions an image by labeling every object the model detects is present within the image. Content Moderation API Analyzes images and videos to detect the presence of adult content, hate symbols, guns, and offensive words. Image Colorization API Allows to colorizing black and white images or videos using the image colorization API. And these are just several examples of available third-party APIs that allow you to integrate powerful AI capabilities into your tools created in LANSA. Also published on https://lansa.com/blog/app-development/the-future-of-ai-is-low-code/.

AI for Businesses: The Future is Low-Code

Couple of months back, I was listening to Eric Evan’s pod cast on Software radio where he mentioned that actor model is a great fit for modeling aggregate root in domain driven , I was like what, wait? ain’t OO languages the only way to model concepts like aggregate, sagas, domain service, repositories or bounded Contexts in Domain driven design ? engineering design After hours of googling and days of reading and weeks of asking questions on forums, I realized that modeling DDD concepts is more explicit and easy in Elixir because of the language constructs it provides. For example using GenServer for aggregate root, OTP application for each Bounded Context, putting all of these Bounded Context together as an umbrella App. What is an Aggregate Root ? Essentially aggregate is pattern in domain driven design, Aggregate is a cluster of your domain objects which can be treated as a singe unit. Let’s say, you are writing a blog engine and you have identified some domain models like Blog Post Comment Like A Blog contains multiple Posts, a post contains multiple Comments and Likes, while defining relationship between domain models, it is a good practice to define relationship in such a way that object graph is acyclic, that is, there are no cycles. for example a blog might have posts but post should not contain reference to blog, similarly blog might contain comments but comment should not contain reference to post. Blog, Post, Comment and Likes can be considered as a collection of objects which defines a aggregate in our application. Next thing is to identify a model among these models and promote it to be root (called aggregate root) and make sure that all the operations/access on these models are happening through the aggregate root. In our case we can promote Blog model to be aggregate root, and make sure that we only access Post, like Blog.Post or Comments like Blog.Post.Comment, this approach guarantees that our models are being modified only via our aggregate roots and we are not breaking any invariant. DDD and Phoenix 1.3 If you have read about latest changes in Phoenix framework (1.3), you would realize that it forces developer to think about their models upfront and it encourages the concepts like Bounded Context and aggregate, wherein user need to specify context (more in line with Bounded context in DDD) to access resource (there are no models anymore). For example Blog, Post, Comment and Likes can be grouped together and accessed by using a Blog Context object. For detailed information take a look at this by Chris McCord at ElixirConf 2017. keynote Phoenix framework is awesome, but it is not my application ( look if not convinced), I like to think of Phoenix as only a web interface for my application and should only be responsible for exposing endpoints to interact with my application with minimal business logic. Following this approach means that I am going to move out my business logic from Phoenix app and put it somewhere else, to achieve this I will use Umbrella project and cut out our Bounded Context in our application into different OTP application within single Umbrella project. here Aggregate root as Elixir Process Let’s consider an application where we are storing and retrieving user information such as name, age, gender and educational details, so we have following models. NOTE: If you want to look the the entire repository, you can find it here . BasicInfo module containing name, age and gender fields. defmodule Bhaduli.User.BasicInfo dodefstruct [name: nil, age: nil, gender: nil] def new(basic_info) do%Bhaduli.User.BasicInfo{name: basic_info.name, age: basic_info.age, gender: basic_info.gender}endend EducationalDetails module containing graduation, senior_secondary and intermediate fields defmodule Bhaduli.User.EducationalDetails dodefstruct graduation: nil, senior_secondary: nil, intermediate: nil def new(educational_details) dostruct(Bhaduli.User.EducationalDetails, educational_details)endend User module which contains user_id, basicInfo and EducationalDetails model. defmodule Bhaduli.User do alias Bhaduli.User.{BasicInfo, EducationalDetails} defstruct [user_id: nil, basic_info: %Bhaduli.User.BasicInfo{}, educational_details: %Bhaduli.User.EducationalDetails{}] ... User Module as Aggregate root I have got three models, basicInfo, educationalDetails and User. I am going to make User as my aggregate root and expose methods to save and retrieve EducationalDetails and BasicInfo as shown below. defmodule Bhaduli.User do alias Bhaduli.User.{BasicInfo, EducationalDetails} defstruct [user_id: nil, basic_info: %Bhaduli.User.BasicInfo{}, educational_details: %Bhaduli.User.EducationalDetails{}] def update(id, %BasicInfo{} = basic_info) doend def update(id, %EducationalDetails{} = educational_details) doend def get_basic_info(id) doend def get_educational_details(id) doend def get(id) doend So we have got basic skeleton for User aggregate, but still we haven’t really done anything interesting. Like I said earlier I want to model my aggregate root as a long running elixir process and way to do that is to use GenServer. But before we do that I want to explain how entire flow should work. Each user will be an Elixir process, for example If a new user is created with user_id “Erin” than we would create a new process with user_id “Erin”. If we try to get user (user_id “Mustang”) for the first time , we will fetch it from database and spawn a new process with given user_id. Now we will have a total of two user processes one each for “Erin” and “Mustang”. If an existing user (user_id “Envy”) is updated and a process for that user has not been created yet than we are going to spawn new process and load its state from Database and update it. Now we will have three processes each for “Erin”, “Mustang” and “Envy”. We will keep one process for each user and keep it loaded in memory. If user process is already running we will read from it and return otherwise we go to database and spawn a new process. We will add a supervisor for user process so that every time a process crashes we create a new one and rehydrate it from database. Process Registry Even though I have outlined overall flow of application, there are few things that needs to be addressed first. Whenever a new process is created, we get back a PID. Since we are creating one process for each user, soon we will have thousands of processes . Anyone who want to get user data will have to know PID of each user process in order to interact with it. Having a supervisor for user process makes our application fault tolerant but also adds a complexity because every time a process crashes supervisor is going to create a new one and this new process will have a different PID than the one that had crashed. Though we can hand-roll our process registration mechanism,but it will soon get hard to track all of these processes as we intend to create thousands of them. On top of it, since supervisor is going to create a new process for every crashed one, propagating new process Id to the client would add more complexity. Luckily we have a module in Elixir called Registry, which allows us to map PID to any given string/atom, so that we don’t have to deal with cryptic PIDs. In our case we want to client to be able to interact with our application only by using user_id, so we would be mapping PID to user_id. Registry can be started with , once registry is started we need some kind of mechanism which will map our user_id to the PID of spawned process and way to do that is to implement a function that returns a tuple, based on a value we provide. Registry.start_link/3 :via Our function, along with the Registry module, will allows us to spawn a process for a given and make subsequent calls on the process using the same id, rather than a PID. via_tuple user_id Our :via_tuple function def via_tuple(user_id) do{:via, Registry, {:user_process_registry, user_id}}end GenServer provides the plumbing to make use of this tuple and automatically handle the registration of our name ( ) to the actual process. :via user_id we will use this via_tuple function while spawning a new user process(User module) #User.ex def start_link(name) doGenServer.start_link(__MODULE__, %Bhaduli.User{user_id: name}, name: via_tuple(name))end Aggregate Root as GenServer In order to make User aggregate an Elixir process, I am going to use GenServer behavior in User module. In our main application file, start the registry. Here we are starting the registry by giving it a unique name as `user_process_registry` and supervising it. defmodule Bhaduli douse Application def start(_type, _args) doimport Supervisor.Spec, warn: false children = [ supervisor(Bhaduli.UserSupervisor, [])]opts = [strategy: :one_for_one, name: Bhaduli.Supervisor]Supervisor.start_link(children, opts)endend supervisor(Registry, [:unique, :user_process_registry]), User Supervisor, we are defining a Supervisor for user module by giving it a simple_one_for_one strategy and module name. defmodule Bhaduli.UserSupervisor douse Supervisor def start_link doSupervisor.start_link(__MODULE__,nil, name: :user_sup)end def init(_) dochildren = [worker(Bhaduli.User, [])]supervise(children, strategy: :simple_one_for_one)endend Now, we will use GenServer behaviour in User module and alias BasicInfo and Educational Details. defmodule Bhaduli.User do use GenServer alias Bhaduli.User.{BasicInfo, EducationalDetails} ... Next we will define a User struct to contain user_id, basic_info and educational_details. defmodule Bhaduli.User do use GenServer alias Bhaduli.User.{BasicInfo, EducationalDetails} :user_process_registry @registry defstruct [user_id: nil, basic_info: %Bhaduli.User.BasicInfo{}, educational_details: %Bhaduli.User.EducationalDetails{}] Let’s write a start_link/3 method in User module which will be called by User supervisor while starting User process. Here we are passing three arguments to start_link function __MODULE__, this is the module name. User struct as initial argument. Third parameter in alias for the spawned process, which allows us to access this process with given alias, we are using function because GenServer provides the plumbing to make use of this tuple and automatically handle the registration of our alias ( ) to the actual process. via_tuple :via user_id #User.ex def start_link(name) doGenServer.start_link(__MODULE__, %Bhaduli.User{user_id: name}, name: via_tuple(name))end Now comes the interesting part, we are defining a callback which will be called when GenServer is started. It is this method which will be responsible for loading the User state from database. init #User.ex def init(%Bhaduli.User{} = user) doGenServer.cast(self(), {:populate_user}){:ok, user}end Inside we are calling function, this callback goes to and fetches the data from database, If a user is found it is returned otherwise and error is returned. init handle_callback UserRepository #User.ex def handle_cast({:populate_user}, user) docase Bhaduli.UserRepository.get(user.user_id) do{:error, _} ->   {:noreply, user}{:ok, user} ->   {:noreply, user}endend It is important to note that GenServer won’t start until method returns. for this reason we are using method instead of because can load data asynchronously and init method don’t have to wait for it to finish. init handle_cast handle_call handle_cast Once we have done all this plumbing we can get the PID of any process for a given user_id from Registry as shown below. [{pid, _}] = Registry.lookup( , id) @registry Getting basic_info for a given user_id def get_basic_info(id) do[{pid, _}] = Registry.lookup( , id)GenServer.call(pid, {:basic_info})end @registry We are using for getting basic_info as we are going to wait for reply. Interesting thing to note here is that we are not making database call (Guess why ?) handle_call def handle_call({:basic_info}, pid, state) do{:reply, state.basic_info, state}end Similarly for educational_details def get_educational_details(id) do[{pid, _}] = Registry.lookup( , id)GenServer.call(pid, {:educational_details})end @registry def handle_call({:educational_details}, pid, state) do{:reply, state.educational_details, state}end For updating basic_info and educational details we are going to use as we don’t need to wait for response from GenServer callback. handle_cast def update(id, %BasicInfo{} = basic_info) do[{pid, _}] = Registry.lookup( , id)GenServer.cast(pid, {:update_basic_info, basic_info})end @registry def update(id, %EducationalDetails{} = educational_details) do[{pid, _}] = Registry.lookup( , id)GenServer.cast(pid, {:update_educational_details, educational_details})end @registry #Callbacks def handle_cast({:update_basic_info, basic_info}, user) douser = %Bhaduli.User{user | basic_info: basic_info}{:noreply, user}end def handle_cast({:update_educational_details, educational_details}, user) douser = %Bhaduli.User{user | educational_details: educational_details}{:noreply, user}end Putting it all together. #User.exdefmodule Bhaduli.User douse GenServeralias Bhaduli.User.{BasicInfo, EducationalDetails} :user_process_registrydefstruct [user_id: nil, basic_info: %Bhaduli.User.BasicInfo{}, educational_details: %Bhaduli.User.EducationalDetails{}] @registry def start_link(name) doGenServer.start_link(__MODULE__, %Bhaduli.User{user_id: name}, name: via_tuple(name))end def init(%Bhaduli.User{} = user) doGenServer.cast(self(), {:populate_user}){:ok, user}end def update(id, %BasicInfo{} = basic_info) do[{pid, _}] = Registry.lookup( , id)GenServer.cast(pid, {:update_basic_info, basic_info})end @registry def update(id, %EducationalDetails{} = educational_details) do[{pid, _}] = Registry.lookup( , id)GenServer.cast(pid, {:update_educational_details, educational_details})end @registry def get_basic_info(id) do[{pid, _}] = Registry.lookup( , id)GenServer.call(pid, {:basic_info})end @registry def get_educational_details(id) do[{pid, _}] = Registry.lookup( , id)GenServer.call(pid, {:educational_details})end @registry def get(id) docase Registry.lookup( , id) do[{pid, _}] -> Registry.lookup( , id)GenServer.call(pid, {})[]      -> {:error, :not_found}end @registry @registry end def handle_cast({:update_basic_info, basic_info}, user) douser = %Bhaduli.User{user | basic_info: basic_info}{:noreply, user}end def handle_cast({:update_educational_details, educational_details}, user) douser = %Bhaduli.User{user | educational_details: educational_details}{:noreply, user}end def handle_cast({:populate_user}, user) docase Bhaduli.UserRepository.get(user.user_id) do{:error, _} ->   {:noreply, user}{:ok, user} ->   {:noreply, user}enddef handle_cast({:update_basic_info, basic_info}, user) douser = %Bhaduli.User{user | basic_info: basic_info}{:noreply, user}end def handle_cast({:update_educational_details, educational_details}, user) douser = %Bhaduli.User{user | educational_details: educational_details}{:noreply, user}end end def handle_call({:basic_info}, pid, state) do{:reply, state.basic_info, state}end def handle_call({:educational_details}, pid, state) do{:reply, state.educational_details, state}end def handle_call({}, pid, state) do{:reply, state, state}end def via_tuple(user_id) do{:via, Registry, {:user_process_registry, user_id}}end end Code for this can be found . This application is part of an Umbrella project and in next post I’ll show how this application is used from a Phoenix application. here About Author About Author : Naveen Negi is software engineer based out of Wolfsburg Germany. He believes in software craftsmanship. He is also an avid blogger, reader, and a polyglot developer. In his free time he tries to explore different spiritual paradigm and the one which entices him most is Samakhya school of philosophy. LinkedIn profile: http://linkedin.com/in/nav301186

Elixir: Domain Driven Design with Actor Model

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At work I use a Mac, at home I have a Lenovo notebook with installed. There's several reasons why people, and specially developers, adopt different platforms simultaneously and there's nothing wrong with that, in fact, we are just adopting the right tool for the right job… or budget. ArchLinux However, it can be annoying when you depend on productivity tools that are not available on all platforms. You also start to think twice before buying a license for a tool that won't be available on one of the platforms you adopt. Cross platform consistent user experience is hard, but we can find ways to solve this issue. This article will focus on how to improve the experience for one kind of tool: Keyboard triggered Productivity and Assistant tool The title above is my tentative to classify tools like , , and . Mac Alfred Ubuntu Unity Dash Gnome Shell overview others Screenshot of Alfred in action. The way they work is simple. After a global keyboard shortcut is hit by the user, they can type commands to: Launch applications Search desktop Open URLs and search specific sites Calculate something Manage clipboard Even trigger more complex workflows that can be customized It's a true Swiss-army tool that saves a lot of time, but given that most of them are not cross-platform because of their deep relationship with the operating system, it's really hard to find a consistent experience. If we had a tool that was as powerful as these ones, reachable from a simple keyboard shortcut and available on all these platforms would be nice, right? Right? Introducing… Terminal Nothing new here, just the plain and simple terminal you are used to have available in any operating system. Basically we just need to find a way to have the same experience as these keyboard triggered productivity and assistant tools. As I'll show below, it's totally possible to achieve something similar, sometimes even more powerful. Let's do it! Keyboard Shortcut First important thing is to have a terminal that pops up by hitting a simple keyboard shortcut, luckily this is a feature that can be easily found in the most popular Terminal apps. On Mac, I use support for Hotkey window and to trigger that terminal. iTerm2 CMD+space On Linux, I use with shortcut. Guake Super+space Usually I configure these terminals to hide when losing focus so you can have a better experience when executing a command that opens the browser, for example. You can also tweak the terminal fonts and color the way you want. Guake terminal screen on ArchLinux with a Timezone custom command I created So far so good, we have a quick way of opening a Terminal, now we need a good set of commands and packages that reproduces the nice behavior we get with the other tools. Unix Shell On both Mac and Linux I use and and this combination is perfect because already comes with a pretty good way of organizing the features I want to have on my productivity tool set. By creating a you keep all configurations in one place and can easily edit them to tweak existing or add new features. zsh oh-my-zsh oh-my-zsh plugin I have this file on my oh-my-zsh install (with a quite suggestive name): $ ~/.oh-my-zsh/custom/plugins/terminalfred/terminalfred.plugin.zsh All aliases and functions you add to that file will be available in your PATH when you open the terminal. In the next sections I'll show what I have on this file. If you are not patient, you can take a look on this . Gist What I also do is to keep that file on Dropbox and symlink to it from all machines I use. It's okay if you don't have any sensitive information in its content. I'm confident that you can find a similar solution no matter the Unix Shell you use because in the end, what you need is only . installed packages, aliases and functions Searching the web This is the most used feature and oh-my-zsh has a perfect plugin, called , that allows me to do this: [web-search](https://github.com/robbyrussell/oh-my-zsh/blob/master/plugins/web-search/web-search.plugin.zsh) $ ddg how to ride a bicycle   # search duckduckgo$ image beautiful bicycle     # search for images$ map bicycle store           # search on a map These commands will open a browser and do the search, more straightforward impossible. If you want to add your own custom searches, my approach to that was to copy that function in my custom plugin and add them manually: alias urban=’terminalfred urban’alias regex=’terminalfred regex’alias shell=’terminalfred shell’alias jsonb=’terminalfred jsonb’alias aur=’terminalfred aur’ function terminalfred() {emulate -L zsh define search engine URLS typeset -A urlsurls=(urban “ "regex “ "shell “ "jsonb “ "aur “ ") http://www.urbandictionary.com/define.php?term= https://regex101.com/library?orderBy=RELEVANCE&search= http://explainshell.com/explain?cmd= http://codebeautify.org/jsonviewer https://www.archlinux.org/packages/?q= if [[ -z “$urls[$1]” ]]; thenecho “Check available searches"return 1fiif [[ $# -gt 1 ]]; thenurl=”${urls[$1]}${(j:+:)@[2,-1]}”elseurl=”${(j://:)${(s:/:)urls[$1]}[1,2]}”fiopen_command “$url”} See a syntax colored version of this code . Quick calculator From time to time I need to do quick calculations, for that one I use : Calc — C-style arbitrary precision calculator $ calc 24 * 496$ calcC-style arbitrary precision calculator (version 2.12.5.0)Calc is open software. For license details type:  help copyright[Type "exit" to exit, or "help" for help.] ; 365/12~30.41666666666666666667; .*12365; exit Dictionary Few people know , a dictionary network protocol and its command line companion , a dictionary database server. After installing dictionaries, it's fairly simple to use and the result is formidable: DICT [dictd](http://linuxcommand.org/man_pages/dictd8.html) $ dict formidable3 definitions found From WordNet (r) 3.0 (2006) [wn]: formidableadj 1: extremely impressive in strength or excellence; "aformidable opponent"; "the challenge was formidable";"had a formidable array of compositions to his credit";"the formidable army of brains at the Prime Minister'sdisposal"2: inspiring fear; "the formidable prospect of major surgery";"a tougher and more redoubtable adversary than the heel-clicking, jackbooted fanatic"- G.H.Johnston; "somethingunnerving and prisonlike about high grey wall" [syn:{formidable}, {redoubtable}, {unnerving}]... To make it easy to use a few dictionaries and make the result more brief, I have the following aliases: $ alias | grep dictdefine='dict -d gcide'          # english definitionsdicts='dict -d moby-thesaurus'  # synonym dictionary Follow if you want to install it. these instructions Translations Being a Brazilian living in Berlin makes me a heavy user of translation services. is the best tool for that. Translate Shell $ trans -brief ‘Super fácil traduzir com essa ferramenta!’Super easy to translate with this tool! Of course having some alias to make commands shorter is always good: $ alias | grep transtre=’trans -b’                 # translate with brief outputtrep=’trans -b :pt’            # translate to Portuguesetres=’trans -shell -brief’     # open a REPL to translatetrev=’trans -v’                # view translation in terminal pager Task management I use as task manager and I have a simple board to track my daily TODOs, tasks that I should be focusing during the day. Another wanted featured was to be able to add tasks easily to that board. Trello Sample execution, now on Mac. Implementation is done using the . I could have installed a Trello command line tool, but I decided to keep it simple and I have the following: API alias tasks='curl -s -X GET -H "Cache-Control: no-cache" -H "Terminalfred" " ~/.secrets/trello.key.secret`&token=`cat ~/.secrets/trello.token.secret`" | jq ".cards[].name"' https://api.trello.com/1/lists/569623d6blablabla309c4d301?cards=open&card_fields=name&fields=cards&key=`cat function taskadd {str="$*"if [ -z "$str" ]; thenecho usage: $0 taskelsecurl -s -X POST -H "Cache-Control: no-cache" --data-urlencode "name=${str}" -H "Terminalfred" " ~/.secrets/trello.key.secret`&token=`cat ~/.secrets/trello.token.secret`" | jq ".url"fi} https://api.trello.com/1/cards/?idList=569623d660blablablad301&key=`cat You can see a syntax colored version here . In the code above I have one alias that basically do a request to fetch cards from a specific list on a board of mine. The result is in JSON format, then I use , a json command line processor to have a nice output like the snapshot shows above. The function to add a task is basically doing another request to create a card on the same list and as a result, I just add the link on the response. jq tool Given that I want to sync zsh plugin file on Dropbox, the code expects to fetch Trello API secrets from a specific folder in my machines with the right permissions. Be safe! Launching applications To mention one limitation of using exclusively the terminal, I didn't find a good way to replace GUI application launch and sometimes I still rely on Alfred, Gnome Dash or simply global shortcuts to open them. Even so, I have found one function in a that works if the GUI app command is available on the PATH: StackOverflow thread o() {if [ $# -gt 0 ] ; then# Expand if $1 is an aliasif [ $(alias | awk -F "[ =]" '{print $2}' | grep -x $1) > 0 ] ; thenset -- $(alias $1 | awk -F "['']" '{print $2}') "${@:2}"fi($@ &) &>/dev/nullelseecho "missing argument"fi} The main benefit is that you start the GUI app detached from terminal and avoiding flooding your shell. However, to be honest, I don't use that much. stdout Everything is possible If you achieved that point in the article I believe you get the point, we just scratched the surface of what can be done with a Terminal and basically there's no limit on what you can do to automate tasks and be more productive. You can find other tools I use, such as consulting timezones or finding files, in . my plugin file Hope the lives of cross platform users are improved a little bit with that approach. . As a last note, I purposely ignored Windows because I'm not an active user, but if you are able to have a similar setup using it let me know and I can update this article or link to yours. Leave a comment if you have any curious way of improving your productivity with Terminal

Cross platform productivity with Terminal

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