Prototype Design Pattern
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The document discusses the Prototype design pattern which specifies the kinds of objects to create using a prototypical instance, and creates new objects by copying this instance. It can avoid building a class hierarchy of factories and is used when loading classes dynamically. Prototype reduces the total number of classes needed and allows adding or removing prototypes at runtime by varying their data or structure.
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Prototype design patterns
This document discusses the prototype design pattern, which specifies the kind of objects to create using a prototypical instance and creates new objects by copying its prototype. It allows specifying new objects at runtime without creating many classes or inheritance structures. The prototype pattern is useful when object initialization is expensive and there will be few variations, as it avoids expensive creation from scratch by cloning pre-initialized prototypes instead. Some consequences are that object classes can be added or removed dynamically by cloning prototypes as needed.
Prototype pattern
Here is how we can implement this using the Prototype pattern:
1. Define an abstract Car class with Clone() method
2. Define concrete classes like SportsCar, Sedan etc extending Car
3. Each car stores its design configuration as properties
4. Application maintains a registry of car prototypes
5. When user wants to copy, app clones the prototype and returns new instance
6. User can independently customize cloned car without affecting original
This allows dynamic object copying and meets the requirements. Prototype pattern helps avoid complex object creation and gives flexibility to user for experimenting with different designs efficiently.
Prototype Pattern
The prototype pattern specifies the kinds of objects to create using a prototypical instance, and creates new objects by copying this prototype. It allows objects to be cloned without knowing their concrete classes. The prototype declares a cloning method that returns a copy of itself. A client creates an object by asking the prototype to clone itself. This pattern avoids subclassing and allows object types to vary at runtime. It is useful when object creation depends on runtime parameters or when classes have a small number of derived forms.
Factory Design Pattern
Factory pattern is one of the most used design patterns in Java. This type of design pattern comes under creational pattern as this pattern provides one of the best ways to create an object.
Factory Design Pattern
Design Pattern: Factory Pattern
In Factory pattern, we create object without exposing the creation logic to the client and refer to newly created object using a common interface.
Blog Article: http://jyaasa.com/blog/factory-design-pattern-in-ruby/
Prototype presentation
The Prototype design pattern allows the creation of new objects by copying existing objects, known as prototypes. This pattern avoids subclasses to create new types of objects, instead objects are created as copies of prototypes. The prototype encapsulates the details of its own cloning process to hide how copies are created. Clients only interact with the prototype interface to create copies without knowing the concrete classes.
Design Pattern - Factory Method Pattern
in these slides i have explained the factory method design pattern. slides contains complete notes on this pattern from definition to implementation by code example.
Factory Method Pattern
The Factory Method pattern defines an interface for creating objects but lets subclasses decide which class to instantiate. It provides a way to delegate object instantiation to subclasses. For example, a hotel front desk acts as a factory by creating the appropriate type of room object based on a customer's needs. The pattern involves a Creator class with a factory method that returns a Product object, while ConcreteCreator subclasses override the method to instantiate a ConcreteProduct. This decouples client code from the instantiation process and makes a system extensible to new product types.
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Prototype design patterns
This document discusses the prototype design pattern, which specifies the kind of objects to create using a prototypical instance and creates new objects by copying its prototype. It allows specifying new objects at runtime without creating many classes or inheritance structures. The prototype pattern is useful when object initialization is expensive and there will be few variations, as it avoids expensive creation from scratch by cloning pre-initialized prototypes instead. Some consequences are that object classes can be added or removed dynamically by cloning prototypes as needed.
Prototype pattern
Here is how we can implement this using the Prototype pattern:
1. Define an abstract Car class with Clone() method
2. Define concrete classes like SportsCar, Sedan etc extending Car
3. Each car stores its design configuration as properties
4. Application maintains a registry of car prototypes
5. When user wants to copy, app clones the prototype and returns new instance
6. User can independently customize cloned car without affecting original
This allows dynamic object copying and meets the requirements. Prototype pattern helps avoid complex object creation and gives flexibility to user for experimenting with different designs efficiently.
Prototype Pattern
The prototype pattern specifies the kinds of objects to create using a prototypical instance, and creates new objects by copying this prototype. It allows objects to be cloned without knowing their concrete classes. The prototype declares a cloning method that returns a copy of itself. A client creates an object by asking the prototype to clone itself. This pattern avoids subclassing and allows object types to vary at runtime. It is useful when object creation depends on runtime parameters or when classes have a small number of derived forms.
Factory Design Pattern
Factory pattern is one of the most used design patterns in Java. This type of design pattern comes under creational pattern as this pattern provides one of the best ways to create an object.
Factory Design Pattern
Design Pattern: Factory Pattern
In Factory pattern, we create object without exposing the creation logic to the client and refer to newly created object using a common interface.
Blog Article: http://jyaasa.com/blog/factory-design-pattern-in-ruby/
Prototype presentation
The Prototype design pattern allows the creation of new objects by copying existing objects, known as prototypes. This pattern avoids subclasses to create new types of objects, instead objects are created as copies of prototypes. The prototype encapsulates the details of its own cloning process to hide how copies are created. Clients only interact with the prototype interface to create copies without knowing the concrete classes.
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in these slides i have explained the factory method design pattern. slides contains complete notes on this pattern from definition to implementation by code example.
Factory Method Pattern
The Factory Method pattern defines an interface for creating objects but lets subclasses decide which class to instantiate. It provides a way to delegate object instantiation to subclasses. For example, a hotel front desk acts as a factory by creating the appropriate type of room object based on a customer's needs. The pattern involves a Creator class with a factory method that returns a Product object, while ConcreteCreator subclasses override the method to instantiate a ConcreteProduct. This decouples client code from the instantiation process and makes a system extensible to new product types.
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The document discusses the Abstract Factory pattern, which defines an interface for creating families of related objects without specifying their concrete classes. It provides advantages like isolating code from implementation classes and promoting consistency. The implementation overview describes creating shape and color interfaces and classes, an AbstractFactory interface, and Factory classes that extend AbstractFactory and create shape and color objects. FactoryProducer is used to get the appropriate factory. Tests create objects using the factories to demonstrate the pattern.
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The proxy pattern provides a placeholder for another object to control access to it. A common use is for a local proxy to represent an object in a remote space. Here, a local help system acts as a proxy for an online help system. The local help is faster to access but less complete, while the online help is more robust but requires an internet connection. The proxy pattern allows the local help to be accessed first as a representative for the online help, providing faster access in many cases while retaining the ability to access the more full-featured online help when needed.
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The Proxy design pattern provides a surrogate or placeholder for another object to control access to it. A proxy can act as a placeholder for complex, expensive objects that should not be initialized until needed. This delays the creation of these objects until they are actually required. Proxies can also protect the real component from undue complexity or provide extra functionality. Some common uses of proxies include remote proxies for objects in a different address space, virtual proxies that create objects on demand, and protection proxies that control access to the original object.
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- A proxy maintains a reference to a real subject and provides an interface identical to the real subject. This allows clients to access the real subject indirectly through the proxy.
- Proxies are useful when accessing heavy weight real subjects would result in performance issues. The proxy can allow lighter-weight access when the full functionality of the real subject is not needed.
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The Prototype pattern allows objects to copy or clone themselves rather than being instantiated, making dynamic object creation easier. It is used when you need to copy an existing object rather than creating a new instance of it, or when objects must have one of a limited set of configurations. With the Prototype pattern, a prototype declares an interface for cloning itself and concrete prototypes implement cloning. A client creates a new object by asking a prototype to clone itself, either as a shallow or deep copy.
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Je vous partage l'un des présentations que j'ai réalisé lorsque j'étais élève ingénieur pour le module 'Anglais Business ' , utile pour les étudiants souhaitant préparer une présentation en anglais sur les Design Pattern - ou les patrons de conception .
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The Bridge Pattern decouples an abstraction from its implementation so that they can vary independently. It allows multiple dependent implementations to share a single independent interface. This pattern is used when an abstraction has many implementations and it is difficult to extend and reuse the abstraction and implementations independently with inheritance. The bridge pattern involves an abstraction, refined abstraction, implementor, and concrete implementor. The abstraction maintains a reference to the implementor interface and the concrete implementor implements that interface. This pattern improves extensibility by allowing the abstraction and implementation hierarchies to vary independently.
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Using the Code Contracts API for design-by-contract in .NET. Code Contracts bring design-by-contract (DbC) to .NET through runtime and static contract checking of preconditions, postconditions, and object invariants. It also extends generated XML documentation. There are some known issues like slow build times and limitations with closures and iterators, but overall it provides an easy way to add design-by-contract principles to .NET code.
LINQ/PLINQ
This document provides an overview of LINQ and PLINQ. It introduces LINQ as a programming model that allows for uniform data manipulation and querying. It discusses various LINQ implementations like LINQ to Objects. The document also covers advanced LINQ concepts like recursive lambda expressions and expression trees. It then introduces PLINQ, explaining that it uses the Task Parallel Library to enable parallel processing. The document demonstrates LINQ basics and PLINQ to show how it can speed up processing by using multiple CPU cores.
Gpu Cuda
CPU architectures are good for serial programs but have slower memory access and thread switching than GPUs. GPU architectures devote most transistors to processing elements for parallel computation on large data sets using shared memory. CUDA provides C extensions for programming GPUs for general purpose processing using a thread hierarchy of blocks and grids. Matrix addition can be accelerated on a GPU using CUDA by assigning each thread to calculate one element. Results show GPU acceleration provides speedups over CPUs for tasks in radio astronomy imaging pipelines.
Facade Pattern
The Facade pattern provides a simplified interface to a more complex subsystem. It defines a higher-level interface that makes the subsystem easier to use. The Facade shields clients from subsystem components by promoting weak coupling between the subsystems and its clients. It encapsulates the subsystem and provides a single point of access to it.
Phani Kumar - Decorator Pattern
The document discusses the Decorator design pattern, which provides a flexible alternative to subclassing by allowing additional responsibilities to be attached to an object dynamically at runtime through the use of wrapper objects known as decorators. It provides an example of using decorators to modify a coffee order by adding condiments like milk and chocolate without exploding the number of classes. The key advantages of the Decorator pattern are that it allows extending functionality without modifying existing classes and supports adding multiple decorators to an object dynamically at runtime. Some disadvantages are that it can result in more smaller classes and increase complexity when instantiating decorated components.
Composite Pattern
The Composite pattern allows clients to treat primitive objects and containers of objects uniformly by composing them into tree structures. It allows clients to treat individual objects and compositions of objects in a uniform manner. The pattern allows clients to recursively compose objects into tree structures to represent part-whole hierarchies.
Adapter Design Pattern
The adapter pattern converts the interface of one class into another interface that clients expect. It allows classes to work together that otherwise could not due to incompatible interfaces. There are two common implementations: class adapter uses inheritance to adapt the interface, while object adapter uses composition by delegating to the adapted class. The adapter pattern is useful for integration work to combine existing classes with mismatched interfaces.
Factory Method Design Pattern
The Factory Method pattern defines an interface for creating objects but allows subclasses to determine which object class to instantiate. This pattern encapsulates object creation and delegates it to subclasses, allowing classes to be extended without modifying the original code. The document also discusses why design patterns are useful, some strategies for using them like programming to interfaces, and themes and consequences of the Factory Method pattern like increased flexibility and eliminating hard-coded dependencies.
Abstract Factory Design Pattern
The abstract factory pattern provides an interface for creating families of related or dependent objects without specifying their concrete classes. It allows a system to be independent of how its objects are created, composed, and represented. The abstract factory pattern is a creational pattern that allows for multiple types of products to be created through a common interface.
A Little Lisp
John McCarthy created LISP in 1958 as a mathematical notation for computer programs based on lambda calculus. LISP pioneered many concepts still used today like tree data structures, automatic storage management, and self-hosting compilers. It remains influential as one of the earliest functional programming languages.
State Pattern in Flex
The document discusses the state pattern, including:
- Allowing an object to change its behavior based on internal state changes, making it seem like the object is changing classes.
- Client code interacts with the context, which behaves differently depending on its current state.
- States are often singletons to avoid recreating state instances.
- States can access the context via a back pointer or by passing needed data via parameters.
- The state can be changed by client code, state instances, or the context itself.
Active Object
The Active Object design pattern decouples method execution from method invocation to enhance concurrency and simplify synchronized access to an object that resides in its own thread of control. It uses a proxy and servant model where method calls made on the proxy are queued and executed asynchronously by the servant in its own thread. This allows transparent leveraging of parallelism but can complicate debugging due to differences in invocation and execution order.
Extract Composite Talk Andy
The document describes refactoring code using the Composite pattern. Originally, two classes FormTag and LinkTag contained duplicate code for looping through child nodes. This was refactored by creating a common Composite base class with the looping behavior. FormTag and LinkTag were made subclasses of Composite. The child reference and looping method were pulled up from the subclasses to the new Composite class. This removed duplication while preserving the original interface.
More from melbournepatterns (20)
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"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
"What does it really mean for your system to be available, or how to define w...
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.Must Know Postgres Extension for DBA and Developer during Migration
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
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JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
From Natural Language to Structured Solr Queries using LLMs
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Session 1 - Intro to Robotic Process Automation.pdf
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
What is an RPA CoE? Session 1 – CoE Vision
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Topics covered:
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Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Recently uploaded (20)
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
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"What does it really mean for your system to be available, or how to define w...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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The Microsoft 365 Migration Tutorial For Beginner.pptx
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
QA or the Highway - Component Testing: Bridging the gap between frontend appl...
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
From Natural Language to Structured Solr Queries using LLMs
From Natural Language to Structured Solr Queries using LLMs
Session 1 - Intro to Robotic Process Automation.pdf
Session 1 - Intro to Robotic Process Automation.pdf
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Prototype Design Pattern
- 1. From Design Patterns (Gamma et al) Presented by David Kemp Melbourne Patterns Group
- 2. Specify the kinds of objects to create using a prototypical instance, and create new objects by copying this prototype. Design Patterns, Gamma et al, Chapter 4.
- 6. Image from Flickr by Bob Henry Photography (http://flickr.com/photos/bobasonic/170043435/) Some rights reserved (http://creativecommons.org/licenses/by-nc-sa/2.0/deed.en)
- 8. Image from Flickr by Slowburn / Andreas Schaefer ( http://flickr.com/photos/slowburn/70150248/ ) Some rights reserved (http://creativecommons.org/licenses/by-nc-sa/2.0/deed.en)