The document discusses various .NET collections classes in C++/CLI including LinkedList, List, Stack, Queue, Dictionary, SortedDictionary, ArrayList and how to use them. It provides examples of initializing the collections, adding and retrieving elements, and using foreach loops. It also covers potential errors like not initializing objects before adding them to collections, using invalid indexes, and type casting issues when retrieving elements.
The slides of my talk at Devoxx BE 2017. This in depth talk is all about collectors: those available, because we need to know them, those that we can create, those we had no idea they could be created, and the others, as there is in fact no limit to what can be done with this API. The concept of downstream collector will be used to show how we can write entire data processing pipelines using collectors only, and pass them as parameters to other pipelines.
The slides of my talk at Devoxx BE 2017. This in depth talk is all about collectors: those available, because we need to know them, those that we can create, those we had no idea they could be created, and the others, as there is in fact no limit to what can be done with this API. The concept of downstream collector will be used to show how we can write entire data processing pipelines using collectors only, and pass them as parameters to other pipelines.
The Collections Framework (java.util)- Collections overview, Collection Interfaces, The Collection classes- Array List, Linked List, Hash Set, Tree Set, Priority Queue, Array Deque. Accessing a Collection via an Iterator, Using an Iterator, The For-Each alternative, Map Interfaces and Classes, Comparators, Collection algorithms, Arrays, The Legacy Classes and Interfaces- Dictionary, Hashtable ,Properties, Stack, Vector More Utility classes, String Tokenizer, Bit Set, Date, Calendar, Random, Formatter, Scanner
Java 8, lambdas, generics: How to survive? - NYC Java Meetup GroupHenri Tremblay
Lambdas are sexy. But they are adding complexity. Mixed with generics, it creates a dangerous cocktail. Together, we will start from the bottom of generics and go straight through lambda inference. To explain why it is the way it is and tell you how to survive.
Lambdas and Generics (long version) - Bordeaux/Toulouse JUGHenri Tremblay
Lambda expressions are coming soon. They promise to be a nice complexity cocktail with the 9 years old generics.
Lets go deep into the generics to get a better understanding. Mix them with lambdas and wait calmly for Java 8 to arrive.
BackgroundIn many applications, the composition of a collection o.pdfmayorothenguyenhob69
Background:
In many applications, the composition of a collection of data items changes over time. Not only
are new data items added and existing ones removed, but data items may be duplicated. A list
data structure is a member of the general category of abstract data types called containers, whose
purpose is to hold other objects. In C++, lists are provided in the Standard Template Library.
However, for this assignment you will design and write your own linked list implementation to
support the ADT operations specified below.
Objective:
Design and implement the specifications for a List Abstract Data Type where the items in the list
are unsorted.
Requirements:
Define a list and develop a set of operations for creating and manipulating a list that satisfies the
list ADT specification.
List ADT Specification
Structure: The list elements are of ItemType. The list has a property called the current position
which designates the position of the last element accessed by GetNextItem during an iteration
through the list. Only ResetList and GetNextItem alter the current position.
Definitions (provided by the user):
MAX_ITEMS: A constant specifying the maximum capacity of items allowed on the list
Item Type: Class encapsulating the type of items in the list
RelationType: An enumeration type that consists of LESS, GREATER, EQUAL
Member function of ItemType that must be included:
RelationType ComparedTo(ItemType Item)
Function: Determines the ordering of two ItemType objects based on their keys
Precondition: Self and item have their key members initialized
Postcondition:
Function value = LESS if the key of self is less than the key of item
= GREATER if the key of self is greater than the key of item
= EQUAL if the keys are equal
Operations (provided by Unsorted List ADT)
Make Empty
Function: Initializes list to empty state
Preconditions: None
Postcondition: List is empty
Boolean IsFull
Function: Determines whether list is full
Preconditions: List has been initialized
Postcondition: Function value = (list is full)
int GetLength
Function: Determines the number of elements in list
Preconditions: List has been initialized
Postcondition: Function value = number of elements in list
ItemType GetItem(Item Typeitem, Boolean& found)
Function: Get list element whose key matches item’s key (if present)
Preconditions: List has been initialized
Key member of item is initialized
Postcondition: If there is an element someItem whose keymatches item’s key, then found =
true and copy of someItemis returned; otherwise found = false and item is returned
List is unchanged
PutItem(ItemType item)
Function: Puts item into list
Preconditions: List has been initialized
List is not full
Item is not in list
Postcondition: Item is in the list
DeleteItem(ItemType item)
Function: Deletes the element whose key matches item’s key
Preconditions: List has been initialized
Postcondition: One and only one element in list has a key matching item’s key
ResetList
Function: Initializes current p.
Ultra Fast, Cross Genre, Procedural Content Generation in Games [Master Thesis]Mohammad Shaker
In my MSc. thesis, I have re-tackled the problem of procedurally generating content for physics-based games I have previously investigated in my BSc. graduation thesis. This time around I propose two novel methods: the first is projection based for faster generation of physics-based games content. The other, The Progressive Generation, is a generic, wide-range, across genre, customisable with playability check method all bundled in a fast progressive approach. This new method is applied on two completely different games: NEXT And Cut the Rope.
Short, Matters, Love - Passioneers Event 2015Mohammad Shaker
Short, Matters, Love is a presentation I prepared for freshmen students at the Faculty of Information Technology in Damascus, Syria organised by Passioneers - 2015
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
5. Class
Comparer<T>
Description
Provides a base class for implementations of
the IComparer<T>generic interface.
Dictionary<TKey, TValue>
Dictionary<TKey,
TValue>::KeyCollection
Dictionary<TKey,
TValue>::ValueCollection
EqualityComparer<T>
Represents a collection of keys and values.
Represents the collection of keys in a Dictionary<TKey,
TValue>. This class cannot be inherited.
HashSet<T>
KeyedByTypeCollection<TItem>
KeyNotFoundException
Represents a set of values.
Provides a collection whose items are types that serve as keys.
The exception that is thrown when the key specified for
accessing an element in a collection does not match any key in
the collection.
LinkedList<T>
LinkedListNode<T>
Represents a doubly linked list.
Represents a node in a LinkedList<T>. This class cannot be
inherited.
List<T>
Represents a strongly typed list of objects that can be
accessed by index. Provides methods to search, sort, and
manipulate lists.
Represents a first-in, first-out collection of objects.
Queue<T>
Represents the collection of values in a Dictionary<TKey,
TValue>. This class cannot be inherited.
Provides a base class for implementations of
theIEqualityComparer<T> generic interface.
6. SortedDictionary<TKey, TValue>
Represents a collection of key/value pairs that are sorted on
the key.
SortedDictionary<TKey,
TValue>::KeyCollection
Represents the collection of keys in a SortedDictionary<TKey,
TValue>. This class cannot be inherited.
SortedDictionary<TKey,
TValue>::ValueCollection
Represents the collection of values in
a SortedDictionary<TKey, TValue>. This class cannot be
inherited
SortedList<TKey, TValue>
Represents a collection of key/value pairs that are sorted by
key based on the associated IComparer<T> implementation.
SortedSet<T>
Represents a collection of objects that is maintained in sorted
order.
Represents a variable size last-in-first-out (LIFO) collection of
instances of the same arbitrary type.
Stack<T>
SynchronizedCollection<T>
Provides a thread-safe collection that contains objects of a
type specified by the generic parameter as elements.
SynchronizedKeyedCollection<K, T>
Provides a thread-safe collection that contains objects of a
type specified by a generic parameter and that are grouped by
keys.
SynchronizedReadOnlyCollection<T>
Provides a thread-safe, read-only collection that contains
objects of a type specified by the generic parameter as
elements.
36. ArrayList
• It’s not a Generic*
– private: System::Collections::ArrayList ^MyArrayList ;
• Drop in performance!
_____________________________________________________
*Generic : class Typed