Como criar cópias seguras de objetos existentes com sobrecarga mínima?

This pattern is especially useful in scenarios where multiple similar objects has to be created but with slight variations, as it reduces the overhead of object creation and hereby increasing the performance.

The Prototype pattern delegates the cloning process to the actual objects that are being cloned. The pattern declares a common interface for all objects that support cloning.

The Prototype pattern in Kotlin is a creational design pattern that allows objects to be created by copying existing objects, rather than creating new ones from scratch

Prototype design pattern is handy for scenarios where creating object is costly as compared to cloning them from existing ones. One example is creating an object that needs to connect to a server or data base for initialising its member.

The Prototype Pattern is a creational design pattern used in software engineering. It is one of the Gang of Four (GoF) design patterns and aims to create new objects by copying an existing object, known as the prototype, rather than instantiating them from scratch. This pattern is particularly useful when the cost of creating an object is more expensive or complex than copying an existing one.

The Prototype interface declares the cloning methods. In most cases, it’s a single clone method. The Concrete Prototype class implements the cloning method. In addition to copying the original object’s data to the clone, this method may also handle some edge cases of the cloning process related to cloning linked objects, untangling recursive dependencies, etc. The Client can produce a copy of any object that follows the prototype interface.

To implement the Prototype Pattern, we'll typically follow these steps: 1-Create a Prototype Interface 2-Create Concrete Prototype Classes 3-Implement the Clone Method 4-Create and Manage Prototype Registry 5-Client Code

The prototype pattern can be implemented specially in Object Oriented Languages like C# and Java, however its implementation can be done in scripting languages like Python and TypeScript that supports classes and objects. In general, an ICloneable interface is used to expose the method clone, but of course there are different options depending on the language.

The Prototype Pattern can be implemented in various programming languages, and while the specific syntax and conventions may vary, the fundamental principles of the pattern remain the same. The key is to define a prototype class or interface, create concrete prototype classes, and use the clone method to create new objects based on the prototypes. The language-specific syntax may vary, but the concept remains consistent across languages.

The Prototype Pattern offers several benefits in software design and development 1-Reduced Object Creation Overhead 2-Flexibility 3-Improved Performance 4-Simplifies Object Creation 5-Encapsulation of Object Creation Logic 6-Dynamic Object Creation 7-Reduced Code Duplication 8-Support for Complex Object Structures 9-Prototype Registry 10-Support for Undo Mechanisms Overall, the Prototype Pattern is valuable when you need to create and manage objects efficiently, especially in situations where object creation is resource-intensive, and you want to promote code reuse and flexibility in your design.

The prototype pattern can offer several benefits, but we can especially highlight the standardization of the object cloning process.

With all of the examples available online today, you can use logging easily with the prototype pattern with inheritance and easily implement abstraction and solid principles. This is obvious with all of the available documentation and tutorials, because creating object securely usually requires an audit, and that is obvious but still finding some type of way to audit, auditing not being security but only a way to record what you’re doing. Java can also uniquely identify different classes and implementation along with monitoring it with different tools so there’s another way to view the use of the classes and that is definitely not a trivial part of using strategies that my provide security and lend themselves easily to existing monitoring.

When it comes to complex data structures, implementing deep copying logic is not trivial. Ensuring the integrity of the cloned objects can undoubtedly become complex and error-prone in some scenarios.

We may encounter various challenges even when a prototype pattern is implemented, different classes have specific properties and subclasses which are not always covered by the prototype pattern, infinite loops due to recursion can also be encountered and difficult to resolve.

While the Prototype Pattern offers several advantages, it also comes with some challenges and considerations 1-Cloning Complexity 2-Deep vs. Shallow Copying 3-Maintaining Consistency 4-Managing Prototype Registry 5-Resource Management 6-Cyclic References 7-Prototype Initialization 8-Testing Complexity 9-Compatibility with Language Features 10-Complexity Trade-off In summary, the Prototype Pattern can be a powerful tool for object creation and management, but it comes with challenges related to cloning, consistency, resource management, and complexity. It's essential to carefully consider these challenges and design your solution appropriately when using this pattern.

Maybe copying documents with the pattern is secure, but nothing else will s securely copied with it. The clone method, copy method and others are encouraged at times for regular objects that are not required to be secure. There are problems with the prototype pattern as an implementation for objects with any kind of information that should be confidential because unsupervised copying of anything is technically not secure. This is a case where if you auto copy information you’re pattern is still useful if it is cloning or copying. So this has nothing to do with confidentiality or originality. If there are still problems with using a clone or copy pattern then the issue is a business process or legal the leader is aware of.

For any design pattern, it would be nice to have some basic information at the start. 1. Like if it is a GOF pattern (Gangs of Four Design Patterns is the collection of 23 design patterns from the book “Design Patterns: Elements of Reusable Object-Oriented Software”.) 2. Type of design pattern: Creational, Structural, or Behavioral. (However, it is mentioned but not properly visible in the doc) 3. Class diagram is necessary even if a code example is not provided. Apart from the above a real-life example from the language library or framework is necessary for the learners.

It's not really clear what the "secure copies with minimal overhead" means. We can clone the objects by using serializing and deserializing the object streams in a binary or human readable format stripped from the internal implementation details. There are tons of the solutions to minimize the implementation overhead, starting from the old school protobufs and ending with automated data binding in the modern languages. Also prototype manager if often a requirement in a complex cases like events subscription, possible dependencies rebinding (e.g UI components reparenting) and potential memory leaks because of the raw pointers returning. It would be great to add these cons to the article.