The document discusses the application of functional programming in domain-driven design, emphasizing the importance of accurately representing domain models through interactive collaboration and a shared mental model among stakeholders. It highlights techniques such as composing types, using option types for optional values, and employing wrapper types for clarity in domain representation. The presentation concludes by summarizing key principles for effective domain modeling, including collaboration and leveraging a composable type system.
JJUG CCC 2018 Spring - I-7 (°³¤¬)¤Ï¤¸¤á¤Æ¤Î NettyShinya Mochida
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The document discusses the Netty framework, highlighting its features for configurable non-blocking I/O in Java applications. It covers key components such as the EventLoop, Channel, ChannelHandler, and the use of blocking versus non-blocking I/O patterns. Sample code snippets are provided to demonstrate server implementations using both traditional blocking I/O and Netty's non-blocking operations.
This document describes how to configure Spring Security for authentication and authorization in a web application. It defines a WebSecurityConfig class that configures HTTP security with roles like OWNER and MANAGER for access control. It also defines a UserDetailsManager service for loading users and a User entity class implementing UserDetails. Tests are shown for security configuration, login, access control and more using Spring Security's test utilities.
The document discusses Django's built-in authentication forms and view classes, detailing a custom email authentication backend implementation. It includes code snippets for user authentication and validation, highlighting the use of Django's user model and custom validators. Additionally, it references GitHub links for further examples and modifications related to the authentication process.
Le document pr¨¦sente des notations math¨¦matiques et des ¨¦quations li¨¦es ¨¤ des sommes et des s¨¦ries. Des expressions sont simplifi¨¦es, et il semble aborder des concepts de complexit¨¦ tels que o(1) et o(log n). Le contenu est principalement technique et ax¨¦ sur la formulologie analytique.
The document discusses using bitwise operators and dynamic programming to solve problems efficiently. It provides examples of using bitwise OR, AND, XOR operators to add, remove and check for elements in a set represented as a bitmask. It then describes several problems involving bitmasks and dynamic programming including finding the number of possible paths in a graph and the maximum score in a traveling salesman problem. The examples demonstrate how bitwise operators can be used to optimize set operations and dynamic programming can reduce exponential time complexity problems to polynomial time.
The document discusses several algorithms and data structures:
1. It discusses using dynamic programming to solve problems with optimal substructure in O(N^3) time, storing solutions to subproblems in 2D tables.
2. It presents the Knapsack problem and discusses a dynamic programming solution using a 3D DP table to store solutions for all possible combinations of items and capacity.
3. It discusses representing numbers in a factorial number system and calculating factorials efficiently using dynamic programming in O(logK) time.
This document discusses various algorithms and their time complexities:
1. Section A discusses sorting algorithms and their O(N) linear time complexity for small/large inputs.
2. Section B discusses interval intersection algorithms with O(M*N) quadratic time for small inputs using nested loops, and O(M*logM) logarithmic time for large inputs using disjoint set data structures.
3. Section C discusses image quilting algorithms with O(W*3H) cubic time for small images and O(W*H) linear time for large images using dynamic programming.
4. Section D discusses connected component labeling with linear time for small images using scanning and O(N*M) time for
Le document pr¨¦sente des notations math¨¦matiques et des ¨¦quations li¨¦es ¨¤ des sommes et des s¨¦ries. Des expressions sont simplifi¨¦es, et il semble aborder des concepts de complexit¨¦ tels que o(1) et o(log n). Le contenu est principalement technique et ax¨¦ sur la formulologie analytique.
The document discusses using bitwise operators and dynamic programming to solve problems efficiently. It provides examples of using bitwise OR, AND, XOR operators to add, remove and check for elements in a set represented as a bitmask. It then describes several problems involving bitmasks and dynamic programming including finding the number of possible paths in a graph and the maximum score in a traveling salesman problem. The examples demonstrate how bitwise operators can be used to optimize set operations and dynamic programming can reduce exponential time complexity problems to polynomial time.
The document discusses several algorithms and data structures:
1. It discusses using dynamic programming to solve problems with optimal substructure in O(N^3) time, storing solutions to subproblems in 2D tables.
2. It presents the Knapsack problem and discusses a dynamic programming solution using a 3D DP table to store solutions for all possible combinations of items and capacity.
3. It discusses representing numbers in a factorial number system and calculating factorials efficiently using dynamic programming in O(logK) time.
This document discusses various algorithms and their time complexities:
1. Section A discusses sorting algorithms and their O(N) linear time complexity for small/large inputs.
2. Section B discusses interval intersection algorithms with O(M*N) quadratic time for small inputs using nested loops, and O(M*logM) logarithmic time for large inputs using disjoint set data structures.
3. Section C discusses image quilting algorithms with O(W*3H) cubic time for small images and O(W*H) linear time for large images using dynamic programming.
4. Section D discusses connected component labeling with linear time for small images using scanning and O(N*M) time for