RxJS is a library for reactive programming that allows composing asynchronous and event-based programs using observable sequences. It provides the Observable type for pushing multiple values to observers over time asynchronously. Operators allow transforming and combining observables. Key types include Observable, Observer, Subject, BehaviorSubject, and ReplaySubject. Subjects can multicast values to multiple observers. Overall, RxJS is useful for handling asynchronous events as collections in a declarative way.
This document discusses several minor technical issues and proposed solutions in ATS:
1. Thread initialization is done unsafely by starting threads and later updating data structures, which is risky. The proposal is to use continuations to initialize threads safely during startup.
2. Continuation tracking is added to identify the origin of continuations for debugging. A "plugin context" tracks the originating plugin to tag continuations.
3. std::chrono is proposed to replace custom time handling in ATS. It provides type-safe time durations and timepoints without loss of precision during conversions.
4. Other active projects include partial object caching, event loop improvements, plugin priorities, making assertions no-ops in
Functional Reactive Programming (FRP): Working with RxJSOswald Campesato
Functional Reactive Programming (FRP) combines functional programming and reactive programming by treating asynchronous data streams as basic elements. FRP uses Observables to represent these streams, which emit values over time that can be composed together using operators like map and filter. Popular libraries for FRP include RxJS, which supports asynchronous and event-based programs by modeling push-based data streams with Observables. Operators allow transforming and combining Observable streams to build reactive applications.
En vieux bourlingueur du langage Swift, Grégoire Lhotellier viendra nous présenter les séquences et les collections du nouveau langage d’Apple. Il nous briefera sur l’essentiel de ce qu’il faut en savoir et ce qu’elles changent par rapport à leurs équivalent Objective-C.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
This document introduces Reactive Cocoa, a framework for Functional Reactive Programming in Objective-C. It describes Reactive Programming as a paradigm oriented around data flows and propagation of change. It explains the key concepts in Reactive Cocoa including streams (signals and sequences), how they allow declarative data transformations, and examples of using signals to react to user interface changes.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
This Java program reads a file and displays each line along with its corresponding line number. It uses a FileInputStream to open the file, a LineNumberReader to read the file line by line and get the line number, and prints each line and number. It also prints the total number of lines in the file. Any exceptions are caught and printed.
RxJS is a library for reactive programming that allows composing asynchronous and event-based programs using observable sequences. It provides the Observable type for pushing multiple values to observers over time asynchronously. Operators allow transforming and combining observables. Key types include Observable, Observer, Subject, BehaviorSubject, and ReplaySubject. Subjects can multicast values to multiple observers. Overall, RxJS is useful for handling asynchronous events as collections in a declarative way.
This document discusses several minor technical issues and proposed solutions in ATS:
1. Thread initialization is done unsafely by starting threads and later updating data structures, which is risky. The proposal is to use continuations to initialize threads safely during startup.
2. Continuation tracking is added to identify the origin of continuations for debugging. A "plugin context" tracks the originating plugin to tag continuations.
3. std::chrono is proposed to replace custom time handling in ATS. It provides type-safe time durations and timepoints without loss of precision during conversions.
4. Other active projects include partial object caching, event loop improvements, plugin priorities, making assertions no-ops in
Functional Reactive Programming (FRP): Working with RxJSOswald Campesato
Functional Reactive Programming (FRP) combines functional programming and reactive programming by treating asynchronous data streams as basic elements. FRP uses Observables to represent these streams, which emit values over time that can be composed together using operators like map and filter. Popular libraries for FRP include RxJS, which supports asynchronous and event-based programs by modeling push-based data streams with Observables. Operators allow transforming and combining Observable streams to build reactive applications.
En vieux bourlingueur du langage Swift, Grégoire Lhotellier viendra nous présenter les séquences et les collections du nouveau langage d’Apple. Il nous briefera sur l’essentiel de ce qu’il faut en savoir et ce qu’elles changent par rapport à leurs équivalent Objective-C.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
This document introduces Reactive Cocoa, a framework for Functional Reactive Programming in Objective-C. It describes Reactive Programming as a paradigm oriented around data flows and propagation of change. It explains the key concepts in Reactive Cocoa including streams (signals and sequences), how they allow declarative data transformations, and examples of using signals to react to user interface changes.
RxJs - demystified provides an overview of reactive programming and RxJs. The key points covered are:
- Reactive programming focuses on propagating changes without explicitly specifying how propagation happens.
- Observables are at the heart of RxJs and emit values in a push-based manner. Operators allow transforming, filtering, and combining observables.
- Common operators include map, filter, reduce, buffer, and switchMap. Over 120 operators exist for tasks like error handling, multicasting, and conditional logic.
- Marble diagrams visually demonstrate how operators transform observable streams.
- Creating observables from events, promises, arrays and iterables allows wrapping different data sources in a uniform API
This Java program reads a file and displays each line along with its corresponding line number. It uses a FileInputStream to open the file, a LineNumberReader to read the file line by line and get the line number, and prints each line and number. It also prints the total number of lines in the file. Any exceptions are caught and printed.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
The document discusses iPhone app development using Objective-C. It covers the basics of getting started, including what is needed to begin like a Mac, Xcode, and an iPhone. It then explains key Objective-C concepts like classes, methods, and memory management using retain counts. The document also discusses unit testing iOS apps using OCUnit and some Xcode tips. It emphasizes testing first and concludes by noting the market demands more apps and there is room for improvement.
The document describes the OCP Kata process for practicing object-oriented design principles. It involves:
1. Writing a failing test case
2. Creating a factory to pass the test with minimal code
3. Writing another failing test and refactoring to pass it
4. Repeating steps 2-3, refactoring each time to keep tests failing until the new case is implemented
An example FizzBuzz kata is provided, starting with a test for single numbers then refactoring to add logic for multiples of 3 (Fizz) through repeated tests and refactoring. The goal is to practice separation of concerns through object oriented patterns.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
Presented at YOW! Connected 2015 (Melbourne) by Jeames Bone & Mark Corbyn:
"There are many great resources for getting started with Functional Reactive Programming and ReactiveCocoa, but what’s the next step? ReactiveCocoa is not just a nice wrapper for KVO, Signals can be used to model many common problems in Cocoa including managing the state of your UI, notifications and even business logic. Adopting ReactiveCocoa can make for more modular, self-documenting code — while still integrating easily with other APIs and your existing code. We would like to share with you some interesting, practical examples where we’ve used ReactiveCocoa to solve problems in our app. Our goal is to inspire you to consider how ReactiveCocoa can be applied in your own apps."
ReactiveCocoa provides a common interface for handling asynchronous events from different sources like UI controls, network requests, and notifications. It uses signals that emit events to represent asynchronous data over time. Operations like filtering, mapping, and combining signals allow defining reactive workflows. Swift's support for functional programming makes it a good fit for the declarative style of ReactiveCocoa.
ReactiveCocoa is a framework for building reactive applications using signals that emit events. It allows defining data flows where events are propagated through operations like map, filter, and flatten. Signals can represent UI controls, network requests, or other asynchronous events. This allows building reactive user interfaces where UI is updated automatically in response to data changes. Operations are chained fluently on signals to transform and combine events.
The document discusses parallel programming in .NET. It covers two main strategies for parallelism - data parallelism and task parallelism. For data parallelism, it describes using Parallel.For to partition work over collections. For task parallelism, it discusses using the Task Parallel Library to create and run independent tasks concurrently, allowing work to be distributed across multiple processors. It provides examples of creating tasks implicitly with Parallel.Invoke and explicitly by instantiating Task objects and passing delegates.
The Ring programming language version 1.6 book - Part 8 of 189Mahmoud Samir Fayed
The document outlines new features and updates in Ring 1.6, including:
1. Support for additional file extensions in the Distribute menu.
2. Updates to RingQt, StdLib, RingVM, and RingREPL for improved functionality and code quality.
3. New syntax features like using tab characters and carriage returns, logical operators, and printing expressions.
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
The Ring programming language version 1.7 book - Part 9 of 196Mahmoud Samir Fayed
Ring 1.5 includes several new applications and improvements to existing libraries and tools. It adds a video-music player, Windows startup manager, and calculator application. It improves Ring Notepad, standard library, web library, RingQt, OpenGL extension, and documentation generator. Ring VM now supports tracing functions and there is a new trace library and debugger. Syntax was made more flexible and a type hints library was added.
Kotlin has scope functions that execute code on an object and provide a scope via lambda expressions. The main scope functions are let, run, with, apply, and also. Let, run, and also accept the object as a parameter and allow further calls or returning a new object. Apply returns the object but with calls made within. With is similar but does not accept the object as a parameter.
Sharding and Load Balancing in Scala - Twitter's FinagleGeoff Ballinger
My presentation at Mostly Functional (http://mostlyfunctional.com), part of this year's Turing Festival Fringe (http://turingfestival.com) in Edinburgh. The example source code is up on Github at https://github.com/geoffballinger/simple-sharder
This document discusses various ways to use variables and methods in Groovy scripts in soapUI to interact with and retrieve information from the test runner context, test cases, test steps, message exchanges, and XML responses and requests. It provides examples of using the log, context, testRunner, and messageExchange variables, as well as methods for retrieving test suites, test cases, test steps, and property values. It also demonstrates how to read and write XML using the GroovyUtils class, convert between strings and integers, and read the raw request and response contents.
Learn You a ReactiveCocoa for Great GoodJason Larsen
This document provides an overview of ReactiveCocoa, a framework for working with asynchronous data streams in a reactive and declarative way. It discusses key concepts in reactive and functional programming like streams, signals, sequences, and transformations like map, filter, and fold. It shows how to combine streams, inject side effects safely, and work with subjects. It recommends resources for learning more about ReactiveCocoa and reactive programming best practices.
This document contains the code for three Java classes: Stack, Queue, and Postfix. Stack and Queue define basic LIFO and FIFO data structures using a List to store elements. Postfix defines a class to convert infix arithmetic expressions to postfix notation by using Stacks and Queues to process operator precedence.
The Ring programming language version 1.8 book - Part 88 of 202Mahmoud Samir Fayed
This document discusses embedding Ring code within Ring programs and applications using the Ring virtual machine. It provides functions for executing Ring code in isolated environments to avoid conflicts between different code sections. Examples show initializing Ring states, running code within a state, passing variables between states, and executing Ring files and programs from within Ring applications. The ability to embed Ring programs within each other in a controlled way allows for modular and extensible Ring applications.
This is my talk on ReactiveCocoa at @cocoaheads_at in Vienna. I gave an introduction to reactive programming with RAC and an overview of signals and subscribers, and how they can be used to create useful patterns.
RxJava is an open source library for reactive programming that allows processing asynchronous streams of data. It provides operators to filter, transform, and combine Observables in a lazy manner. Observables represent asynchronous data streams that can be subscribed to receive push-based event notifications. Services return Observables to make their APIs asynchronous and reactive.
The document discusses various topics related to advanced level ISTQB certification exam preparation, including:
- Error-based testing seeks to show certain programmer errors were not committed by focusing on known error types.
- Flavor analysis allows documenting how an object's properties change and checking assumptions.
- Fault-based testing aims to show prescribed faults are absent by demonstrating local or global effects of faults.
- Software life cycle models characterize how software evolves either descriptively or prescriptively.
- Different levels of testing include module, integration, system, and acceptance testing.
RFT Tutorial 11 How To Data Drive A Test Script Using Ibm – Rational Function...Yogindernath Gupta
This document outlines 13 steps for data driving an IBM Rational Functional Tester test script. The key steps include: 1) Creating a project to store test assets, 2) Beginning test script recording and choosing a datapool record selection order, 3) Navigating the application to the point to be data driven, 4) Inserting data driven actions and populating fields, 5) Selecting test objects to be data driven using either dragging or a selection wizard, 6) Adding code to the test script to data drive the selected objects, 7) Performing additional recorded actions, and 8) Stopping recording to complete the script and update the datapool.
The document discusses the benefits of using RxJS observables over promises and events for managing asynchronous and reactive code in Angular applications. It explains key concepts like observers, subscriptions, operators, cold vs hot observables, and using RxJS with services and components. Example code is provided for creating observable data services to share data between components, composing asynchronous logic with operators, and best practices for managing subscriptions and preventing memory leaks. Overall, the document promotes a reactive programming style with RxJS for building maintainable and testable Angular applications.
The document discusses iPhone app development using Objective-C. It covers the basics of getting started, including what is needed to begin like a Mac, Xcode, and an iPhone. It then explains key Objective-C concepts like classes, methods, and memory management using retain counts. The document also discusses unit testing iOS apps using OCUnit and some Xcode tips. It emphasizes testing first and concludes by noting the market demands more apps and there is room for improvement.
The document describes the OCP Kata process for practicing object-oriented design principles. It involves:
1. Writing a failing test case
2. Creating a factory to pass the test with minimal code
3. Writing another failing test and refactoring to pass it
4. Repeating steps 2-3, refactoring each time to keep tests failing until the new case is implemented
An example FizzBuzz kata is provided, starting with a test for single numbers then refactoring to add logic for multiples of 3 (Fizz) through repeated tests and refactoring. The goal is to practice separation of concerns through object oriented patterns.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
Presented at YOW! Connected 2015 (Melbourne) by Jeames Bone & Mark Corbyn:
"There are many great resources for getting started with Functional Reactive Programming and ReactiveCocoa, but what’s the next step? ReactiveCocoa is not just a nice wrapper for KVO, Signals can be used to model many common problems in Cocoa including managing the state of your UI, notifications and even business logic. Adopting ReactiveCocoa can make for more modular, self-documenting code — while still integrating easily with other APIs and your existing code. We would like to share with you some interesting, practical examples where we’ve used ReactiveCocoa to solve problems in our app. Our goal is to inspire you to consider how ReactiveCocoa can be applied in your own apps."
ReactiveCocoa provides a common interface for handling asynchronous events from different sources like UI controls, network requests, and notifications. It uses signals that emit events to represent asynchronous data over time. Operations like filtering, mapping, and combining signals allow defining reactive workflows. Swift's support for functional programming makes it a good fit for the declarative style of ReactiveCocoa.
ReactiveCocoa is a framework for building reactive applications using signals that emit events. It allows defining data flows where events are propagated through operations like map, filter, and flatten. Signals can represent UI controls, network requests, or other asynchronous events. This allows building reactive user interfaces where UI is updated automatically in response to data changes. Operations are chained fluently on signals to transform and combine events.
The document discusses parallel programming in .NET. It covers two main strategies for parallelism - data parallelism and task parallelism. For data parallelism, it describes using Parallel.For to partition work over collections. For task parallelism, it discusses using the Task Parallel Library to create and run independent tasks concurrently, allowing work to be distributed across multiple processors. It provides examples of creating tasks implicitly with Parallel.Invoke and explicitly by instantiating Task objects and passing delegates.
The Ring programming language version 1.6 book - Part 8 of 189Mahmoud Samir Fayed
The document outlines new features and updates in Ring 1.6, including:
1. Support for additional file extensions in the Distribute menu.
2. Updates to RingQt, StdLib, RingVM, and RingREPL for improved functionality and code quality.
3. New syntax features like using tab characters and carriage returns, logical operators, and printing expressions.
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
The Ring programming language version 1.7 book - Part 9 of 196Mahmoud Samir Fayed
Ring 1.5 includes several new applications and improvements to existing libraries and tools. It adds a video-music player, Windows startup manager, and calculator application. It improves Ring Notepad, standard library, web library, RingQt, OpenGL extension, and documentation generator. Ring VM now supports tracing functions and there is a new trace library and debugger. Syntax was made more flexible and a type hints library was added.
Kotlin has scope functions that execute code on an object and provide a scope via lambda expressions. The main scope functions are let, run, with, apply, and also. Let, run, and also accept the object as a parameter and allow further calls or returning a new object. Apply returns the object but with calls made within. With is similar but does not accept the object as a parameter.
Sharding and Load Balancing in Scala - Twitter's FinagleGeoff Ballinger
My presentation at Mostly Functional (http://mostlyfunctional.com), part of this year's Turing Festival Fringe (http://turingfestival.com) in Edinburgh. The example source code is up on Github at https://github.com/geoffballinger/simple-sharder
This document discusses various ways to use variables and methods in Groovy scripts in soapUI to interact with and retrieve information from the test runner context, test cases, test steps, message exchanges, and XML responses and requests. It provides examples of using the log, context, testRunner, and messageExchange variables, as well as methods for retrieving test suites, test cases, test steps, and property values. It also demonstrates how to read and write XML using the GroovyUtils class, convert between strings and integers, and read the raw request and response contents.
Learn You a ReactiveCocoa for Great GoodJason Larsen
This document provides an overview of ReactiveCocoa, a framework for working with asynchronous data streams in a reactive and declarative way. It discusses key concepts in reactive and functional programming like streams, signals, sequences, and transformations like map, filter, and fold. It shows how to combine streams, inject side effects safely, and work with subjects. It recommends resources for learning more about ReactiveCocoa and reactive programming best practices.
This document contains the code for three Java classes: Stack, Queue, and Postfix. Stack and Queue define basic LIFO and FIFO data structures using a List to store elements. Postfix defines a class to convert infix arithmetic expressions to postfix notation by using Stacks and Queues to process operator precedence.
The Ring programming language version 1.8 book - Part 88 of 202Mahmoud Samir Fayed
This document discusses embedding Ring code within Ring programs and applications using the Ring virtual machine. It provides functions for executing Ring code in isolated environments to avoid conflicts between different code sections. Examples show initializing Ring states, running code within a state, passing variables between states, and executing Ring files and programs from within Ring applications. The ability to embed Ring programs within each other in a controlled way allows for modular and extensible Ring applications.
This is my talk on ReactiveCocoa at @cocoaheads_at in Vienna. I gave an introduction to reactive programming with RAC and an overview of signals and subscribers, and how they can be used to create useful patterns.
RxJava is an open source library for reactive programming that allows processing asynchronous streams of data. It provides operators to filter, transform, and combine Observables in a lazy manner. Observables represent asynchronous data streams that can be subscribed to receive push-based event notifications. Services return Observables to make their APIs asynchronous and reactive.
The document discusses various topics related to advanced level ISTQB certification exam preparation, including:
- Error-based testing seeks to show certain programmer errors were not committed by focusing on known error types.
- Flavor analysis allows documenting how an object's properties change and checking assumptions.
- Fault-based testing aims to show prescribed faults are absent by demonstrating local or global effects of faults.
- Software life cycle models characterize how software evolves either descriptively or prescriptively.
- Different levels of testing include module, integration, system, and acceptance testing.
RFT Tutorial 11 How To Data Drive A Test Script Using Ibm – Rational Function...Yogindernath Gupta
This document outlines 13 steps for data driving an IBM Rational Functional Tester test script. The key steps include: 1) Creating a project to store test assets, 2) Beginning test script recording and choosing a datapool record selection order, 3) Navigating the application to the point to be data driven, 4) Inserting data driven actions and populating fields, 5) Selecting test objects to be data driven using either dragging or a selection wizard, 6) Adding code to the test script to data drive the selected objects, 7) Performing additional recorded actions, and 8) Stopping recording to complete the script and update the datapool.
This document provides sample questions and answers that are important from the perspective of the ISTQB Advanced Level certification examination. It includes 75 multiple choice questions covering topics like the types of information that should be collected for problem tracking and test activity tracking as part of a V&V plan, an explanation of Shewart's Plan-Do-Check-Act paradigm, the uses of the CMM, SPA and SCE methods for applying CMM, the key process areas and practices in CMM, and what a maturity questionnaire is in CMM. The document encourages reviewing these questions and answers to brush up on knowledge prior to taking the certification exam.
The document provides questions and answers related to the ISTQB Advanced Level Certification exam. It discusses key principles for system testing, types of errors targeted by regression and integration testing, strategies for integration testing, guidelines for selecting paths in transaction flows, definitions of failure analysis, concurrency analysis, and performance analysis.
Rft Tutorial 1 How To Retrieve The Value Of An Object Property Programmatic...Yogindernath Gupta
This tutorial shows how to programmatically retrieve the value of an object's property using the getProperty method. The example checks if a label contains a success message by getting its text property, and if so, clicks the OK button, otherwise clicks Cancel. The getProperty method is used to find the text value of a label and compare it to a string to determine which dialog button to click.
RFT Tutorial 4 How Do We Record A Script Using Rational Functional Tester - RFTYogindernath Gupta
This tutorial describes the 11 step process for recording a script in Rational Functional Tester (RFT) from IBM. The steps include setting recording options, creating a new script, starting the test application, performing actions, inserting verification points and script commands, and stopping the recording. The recorded script and object map are then written to the project directory.
RFT Tutorial - 5 How Do We Record Data Verification Point For Test Objects Us...Yogindernath Gupta
This tutorial describes how to record data verification points for test objects in RFT using a 12 step process. The steps involve starting the recording, locating the object to be tested like a list, inserting a verification point, selecting the list object, choosing to perform a data verification, specifying the data value and name, setting retry parameters, and finishing the recording. Recorded verification points can later be edited in the Verification Point Editor.
RFT Tutorial - 9 How To Create A Properties Verification Point In Rft For Tes...Yogindernath Gupta
This tutorial provides steps to create a properties verification point in RFT to test the properties of an object. The verification point creates a baseline of an object's properties during recording and then compares the properties during playback to identify any changes. The steps include starting the recording, selecting the object, choosing to add a properties verification point, setting verification point options like including children properties, adding a name, selecting standard or custom properties, setting retry parameters, and finishing the recording. Optional steps allow editing selected properties to test and using a datapool variable reference instead of a literal value.
The document provides details on the ISTQB Advanced Level Certification study guide. It discusses 20 questions and their answers related to software development processes and quality assurance. Key topics covered include software requirements, design, coding, testing, configuration audits, error reporting systems, and defect categorization.
Introduction to specification based test design techniquesYogindernath Gupta
Specification-based test techniques involve deriving test cases from requirements specifications rather than source code. These techniques include equivalence partitioning, boundary value analysis, decision tables, state transition testing, all-pairs testing, classification trees, and use case testing. Coverage criteria measure things like the percentage of partitions or boundaries covered. Specification-based techniques help ensure requirements are thoroughly tested before code is written.
This document introduces simplified scripting, a new feature in Rational Functional Tester (RFT) version 8.1. It allows creating test scripts using a visual and natural language approach without needing to know a programming language. Simplified scripts contain easy to understand English statements and utilize application screenshots and object highlighting. The feature streamlines test authoring, modification, and execution. Advanced options allow inserting Java code snippets or modules into the generated test code. A demo is provided to showcase simplified scripting capabilities.
The document discusses the history and current state of software testing certification. It covers:
1) The ISTQB/ISEB certification program began in the late 1990s and early 2000s to standardize software testing knowledge and professionalize the field.
2) The certifications include Foundation, Practitioner, and Specialist levels to cater to candidates with different experience levels.
3) International collaboration through the ISTQB has led to widespread adoption of a common certification syllabus across many countries.
WINDOWS ADMINISTRATION AND WORKING WITH OBJECTS : PowerShell ISEHitesh Mohapatra
WINDOWS ADMINISTRATION AND WORKING WITH OBJECTS
CREATING AND MANAGING ACTIVE DIRECTORY OBJECTS
CONFIGURING NETWORK SETTINGS ON WINDOWS SERVER
CREATING A WEB SITE
SELECTING, SORTING, AND DISPLAYING DATA
FILTERING OBJECTS AND ENUMERATING OBJECTS
This full day course will give you a hands-on, deep dive into React Native. In this course, you will learn how to build cross-platform mobile applications from scratch using Facebook's React Native.
#ifndef CRYPTO_HPP
#define CRYPTO_HPP
#include <functional>
#include <memory>
/**
* @enum Algorithm
*
* The purpose of this enumeration is to inform the
* static factory method which crypto transform should be
* used for when creating a crypto object.
*/
enum class Algorithm
{
eNONE,
eCAESAR,
eAES,
eRSA,
};
/**
* @class Crypto
*
* The purpose of this class is to serve as an abstract base class for many
* cryptologic transforms.
*/
class Crypto
{
public:
/**
* @brief Constructor
*
* This function creates/initializes this oject.
* The callbacks are used by the underlying
* algorithm to pass back processed data to the using logic.
*
* NOTE: There is no correlation between the amount of data passed into the algorithm
* and the amount returned from it. Likewise, there is no required correlation between
* the number of times data is passed into the algorithm and the number of times callbacks
* are called.
*
* @param encryptCallback Callback function for returning encrypted data
* @param decryptCallback Callback function for returning decrypted data
*/
Crypto(std::function<void(const uint8_t *data, uint32_t len)> encryptCallback,
std::function<void(const uint8_t *data, uint32_t len)> decryptCallback);
/**
* @brief Generate new crypto keys
*
* This function must be implemented by all derived classes.
* It signals the underlying algorithm that it should generate
* and store keys needed for that algorithm.
*/
virtual void genKeys() = 0;
/**
* @brief Get the keys and return them in a standardized form
*
* This function must be implemented by all derived classes.
* It will allocate memory, and then populate that memory with
* keys in a way that can be generically stored/passed by using
* programs.
*
* @param pubKey Pointer to array of bytes containing public key
* @param pubLen Lenght of the public key
* @param priKey Pointer to array of bytes containing private key
* @param priLen Lenght of the private key
* @return Indication of valid keys present in response
*/
virtual bool getKeys(uint8_t **pubKey, uint32_t &pubLen,
uint8_t **priKey, uint32_t &priLen) = 0;
/**
* @brief Set the keys to be used in underlying transform
*
* This function must be implemented by all derived classes.
* It will pass a representation of needed keys to derived
* algorithms.
*
* @param pubKey Pointer to bytes containing public key
* @param pubLen Lenght of the public key
* @param priKey Pointer to bytes containing private key
* @param priLen Lenght of the private key
*/
virtual void setKeys(const uint8_t *pubKey, uint32_t pubLen,
const uint8_t *priKey, uint32_t priLen) = 0;
/**
* @brief Destroy keys and free resources
*
* This function must be implemented by all derived classes.
* It will inform the derived algorithm that it shoul ...
Using the Tooling API to Generate Apex SOAP Web Service ClientsSalesforce Developers
Join us as we review the capabilities of the existing WSDL-to-Apex code generation feature, and explain how we built a tool to provide expanded features using the Tooling API. The resulting tool has greater support for more WSDL features, generates test cases and the associated mocks to maximize code coverage, and optionally includes HttpRequest versions of the callouts.
ave time learning on your own. Start Building with React, MongoDB, Express, & Node. The MERN Stack.
Learning a new JavaScript framework is difficult. You can spend weeks learning new concepts. If an online example doesn’t work, you may spend countless hours Googling, searching Stack Overflow and blogs for the solution.
Take the fast track and learn from an experienced Senior Software Engineer and professional instructor!
About this Course
This highly interactive course features a large amount of student labs and hands-on coding. You will be taught how to assemble the complete stack required to build a modern web app using React.js, MongoDB (a NoSQL database) and Express (a framework for web application servers). This course will also cover many other tools that go into building a complete web application: React Router, React-Bootstrap, Redux, Babel, and Webpack.
What You Will Learn
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• Webpack
• Node & Express
• Reading and writing data to a MongoDB database
• Babel
• React
• State Management with Redux
• Mongoose
• And More!
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Distributed systems
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This summary provides the key information from the document in 3 sentences:
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**********Evaluator.java****************
package evaluator;
import java.util.*;
import operand.Operand;
import operator.Operator;
public class Evaluator {
private Stack<Operand> operandStack;
private Stack<Operator> operatorStack;
private StringTokenizer tokenizer;
private static final String DELIMITERS = "+-*^/() ";
public Evaluator() {
operandStack = new Stack<Operand>();
operatorStack = new Stack<Operator>();
}
public int eval(String expression) {
int result = 0;
String token;
Operator hashOpr = Operator.operators.get("#");
oprStack.push(hashOpr);
String delimiters = "+-*/#!";
// The 3rd argument is true to indicate that the delimiters should be used
// as tokens, too. But, we'll need to remember to filter out spaces.
this.tokenizer = new StringTokenizer(expression, DELIMITERS, true);
while (this.tokenizer.hasMoreTokens()) {
// filter out spaces
if (!(token = this.tokenizer.nextToken()).equals(" ")) {
// check if token is an operand
if (Operand.check(token)) {
operandStack.push(new Operand(token));
} else {
if (!Operator.check(token)) {
System.out.println("*****invalid token******");
System.exit(1);
}
// TODO Operator is abstract - this line will need to be fixed:
// ( The Operator class should contain an instance of a HashMap,
// and values will be instances of the Operators. See Operator class
// skeleton for an example. )
Operator newOperator = null; // new Operator( token );
while (operatorStack.peek().priority() >= newOperator.priority()) {
// note that when we eval the expression 1 - 2 we will
// push the 1 then the 2 and then do the subtraction operation
// This means that the first number to be popped is the
// second operand, not the first operand - see the following code
Operator oldOpr = operatorStack.pop();
Operand op2 = operandStack.pop();
Operand op1 = operandStack.pop();
operandStack.push(oldOpr.execute(op1, op2));
}
operatorStack.push(newOperator);
}
}
}
// Control gets here when we've picked up all of the tokens; you must add
// code to complete the evaluation - consider how the code given here
// will evaluate the expression 1+2*3
// When we have no more tokens to scan, the operand stack will contain 1 2
// and the operator stack will have + * with 2 and * on the top;
// In order to complete the evaluation we must empty the stacks (except
// the init operator on the operator stack); that is, we should keep
// evaluating the operator stack until empty
// Suggestion: create a method that takes an operator as argument and
// then executes the while loop; also, move the stacks out of the main
// method
return 0;
}
/**
* Class to help test your Evaluator:
* javac EvaluatorTester
* java EvaluatorTester "1+2" "3*5"
*/
public static void main(String[] args) {
Evaluator evaluator = new Evaluator();
for (String arg : args) {
System.out.format("%s = %d\n", arg, evaluator.eval(arg));
}
}
}
************************************Operand.Java**************************************************
package operand;
public class Operand {
public .
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Tutorial - 16 : How to pass parameters from one script to another by CallScript Method using IBM RFT
1. Tutorial - 16 : How to pass parameters from one script to another by CallScript Method
using IBM Rational Functional Tester - RFT
This article presents a simple method of using the different signatures of the callScript
method to pass data from one script to another using IBM RFT
The example uses two different Functional Tester scripts:
a) Script - 1: TheCaller, which calls another script and passes parameters
b) Script - 2: TheCalled, which receives the parameters and prints them to System.out
TheCaller script further uses three different versions of the callScript method:
Version - 1: Without additional parameters: This is the default usage of the callScript method,
which will execute the specified script.
callScript("TheCalled");
Version - 2: With additional string array parameter: An array of strings is used to pass string
parameters to the called script.
String[] dataToPass = new String[4];
...
callScript("TheCalled",dataToPass);
Version - 3: With additional object array parameter: An array of objects is used to pass different
object type parameters to the called script.
Object[] objdataToPass = new Object[4];
...
callScript("TheCalled",objdataToPass);
The TheCaller script sample had been recorded as under:
import resources TheCallerHelper;
import com.rational.test.ft.*;
import com.rational.test.ft.object.interfaces.*;
import com.rational.test.ft.object.interfaces.SAP.*;
import com.rational.test.ft.object.interfaces.siebel.*;
import com.rational.test.ft.script.*;
import com.rational.test.ft.value.*;
import com.rational.test.ft.vp.*;
/**
* Description : Functional Test Script
* @author Administrator
*/
public class TheCaller extends TheCallerHelper
{
/**
* Script Name : TheCaller
* Generated : Feb 10, 2008 7:24:08 PM
* Description : Functional Test Script
* Original Host : WinNT Version 5.1 Build 2600 (S)
*
* @since 2008/02/10
* @author Administrator
2. */
public void testMain (Object[] args)
{
callScript("TheCalled");
String[] dataToPass = new String[4];
dataToPass[0] = "this";
dataToPass[1] = "is";
dataToPass[2] = "really";
dataToPass[3] = "cool";
callScript("TheCalled",dataToPass);
Object[] objdataToPass = new Object[4];
objdataToPass[0] = new String("Thought the previous was cool?");
objdataToPass[1] = "Take this one!";
objdataToPass[2] = new Float(0.02);
objdataToPass[3] = new Integer(4711);
callScript("TheCalled",objdataToPass);
}
}
The TheCalled script uses a simple loop to print the received parameters to System.out:
import resources.TheCalledHelper;
import com.rational.test.ft.*;
import com.rational.test.ft.object.interfaces.*;
import com.rational.test.ft.object.interfaces.SAP.*;
import com.rational.test.ft.object.interfaces.siebel.*;
import com.rational.test.ft.script.*;
import com.rational.test.ft.value.*;
import com.rational.test.ft.vp.*;
/**
* Description : Functional Tester Script
* @author Administrator
*/
public class TheCalled extends TheCalledHelper
{
/**
* Script Name : TheCalled
* Generated : Feb 10, 2008 7:24:08 PM
* Description : Functional Test Script
* Original Host : WinNT Version 5.1 Build 2600 (S)
*
* @since 2008/02/10
* @author Administrator
*/
public void testMain (Object[] args)
{
if (args.length < 1)
{
System.out.println( "Expected at least 1 arg, however we got:
"+args.length);
return;
}
else
{
System.out.println( "Got: "+args.length+" args");
}
for (int i = 0; i < args.length; ++i)
{