The document discusses different types of loops in C++ including sentinel, while, do-while, and for loops. It provides the syntax for each loop type and examples of their usage. The while loop evaluates a test condition first before executing the loop body. The do-while loop is similar but evaluates the test condition at the end, so the body is always executed at least once. The for loop allows initializing a counter, evaluating a test condition, and updating the counter in each iteration. Nested for loops are demonstrated to output a triangle of asterisks of decreasing size.
The document contains Verilog code for several digital logic circuits including a 32-bit barrel shifter, 8-bit Booth multiplier, 32-bit ripple carry adder, 32-bit simple adder, and 32-bit carry lookahead adder. Test benches with stimulus are provided to test the functionality of each circuit.
The document describes various image filtering and processing techniques in Matlab code, including maximum, minimum, average, smoothing, median, difference, Prewitt, Sobel, unsharp mask, Robert, and Gaussian filters. It also provides examples of quicksort, perfect number, greatest common divisor (GCD), and palindrome algorithms in Java code, as well as descriptions of the Tower of Hanoi problem and finding the shortest path on a grid.
The document summarizes a presentation titled "Yoyak" given by Heejong Lee at ScalaDays 2015. The presentation introduces Yoyak, a static analysis framework developed by the speaker. It covers the following topics:
- Static analysis and abstract interpretation theory
- Implementation highlights of the Yoyak framework
- Experiences using Scala in developing Yoyak
- The roadmap for future development of Yoyak
The document provides an overview of C++11 concurrency concepts including threads, futures, async, packaged_task, and atomics. It presents examples of using these features, such as creating a thread to run a function concurrently. Tasks are included where the reader codes solutions, such as creating threads to run partial cosine and sine functions concurrently. The document also discusses thread management, condition variables, mutexes, futures, promises, and C++11 memory models. An example of lock-free message passing using an atomic boolean and synchronize-with semantics is presented as a final task.
This document outlines Chapter 5 which discusses additional Java control structures including the for, do-while, switch, break, continue and labeled break/continue statements. It provides examples of using each control structure and diagrams to illustrate their flow and functionality. The for statement handles counter-controlled repetition with initialization, condition and increment components. The do-while statement executes the loop body at least once before checking the condition. The switch statement allows for multiple selection based on a controlling expression. The break and continue statements alter control flow by exiting or skipping portions of loops. Labeled blocks allow break and continue to target specific nested structures.
Declare Your Language: Dynamic SemanticsEelco Visser
This document provides an overview of DynSem, a domain-specific language for specifying the dynamic semantics of programming languages. It discusses the design goals of DynSem in being concise, modular, executable, portable, and high-performance. The document then provides an example DynSem specification for the semantics of a simple language with features like arithmetic, booleans, functions, and mutable variables. It describes how DynSem specifications are organized into modules that can be composed to define the semantics.
The document contains Verilog code for several digital logic circuits including a 32-bit barrel shifter, 8-bit Booth multiplier, 32-bit ripple carry adder, 32-bit simple adder, and 32-bit carry lookahead adder. Test benches with stimulus are provided to test the functionality of each circuit.
The document describes various image filtering and processing techniques in Matlab code, including maximum, minimum, average, smoothing, median, difference, Prewitt, Sobel, unsharp mask, Robert, and Gaussian filters. It also provides examples of quicksort, perfect number, greatest common divisor (GCD), and palindrome algorithms in Java code, as well as descriptions of the Tower of Hanoi problem and finding the shortest path on a grid.
The document summarizes a presentation titled "Yoyak" given by Heejong Lee at ScalaDays 2015. The presentation introduces Yoyak, a static analysis framework developed by the speaker. It covers the following topics:
- Static analysis and abstract interpretation theory
- Implementation highlights of the Yoyak framework
- Experiences using Scala in developing Yoyak
- The roadmap for future development of Yoyak
The document provides an overview of C++11 concurrency concepts including threads, futures, async, packaged_task, and atomics. It presents examples of using these features, such as creating a thread to run a function concurrently. Tasks are included where the reader codes solutions, such as creating threads to run partial cosine and sine functions concurrently. The document also discusses thread management, condition variables, mutexes, futures, promises, and C++11 memory models. An example of lock-free message passing using an atomic boolean and synchronize-with semantics is presented as a final task.
This document outlines Chapter 5 which discusses additional Java control structures including the for, do-while, switch, break, continue and labeled break/continue statements. It provides examples of using each control structure and diagrams to illustrate their flow and functionality. The for statement handles counter-controlled repetition with initialization, condition and increment components. The do-while statement executes the loop body at least once before checking the condition. The switch statement allows for multiple selection based on a controlling expression. The break and continue statements alter control flow by exiting or skipping portions of loops. Labeled blocks allow break and continue to target specific nested structures.
Declare Your Language: Dynamic SemanticsEelco Visser
This document provides an overview of DynSem, a domain-specific language for specifying the dynamic semantics of programming languages. It discusses the design goals of DynSem in being concise, modular, executable, portable, and high-performance. The document then provides an example DynSem specification for the semantics of a simple language with features like arithmetic, booleans, functions, and mutable variables. It describes how DynSem specifications are organized into modules that can be composed to define the semantics.
The document describes various digital logic components including logic gates, adders, subtractors, encoders, decoders, multiplexers, demultiplexers, flip-flops, counters, registers, and a traffic light controller. Logic gates such as AND, OR, NOT, NAND, NOR, XOR and XNOR are implemented. Adders include half adders, full adders, parallel adders, and carry lookahead adders. Flip-flops include D, T, JK, and SR flip-flops. Counters include an up-down counter. A traffic light controller module is described to control lights using a 3-bit state register. CMOS implementations of logic gates are also provided.
Introducing Finite State Machine Modeling
Skills gained:
1- Modeling Finite State Machines
2- Identify different State Machine styles
3- Understanding State Encoding
This is part of VHDL 360 course
The document discusses C++ memory handling and object-oriented programming concepts like stack and heap memory allocation, dynamic memory allocation, copy constructors, and class interfaces.
It provides examples of stack allocation versus dynamic/heap allocation. It also demonstrates how to properly implement copy constructors to avoid shallow copy issues when composing objects. Finally, it presents an example of defining a class interface (abstract base class) for reusable and extensible code, allowing different object types like cars and airplanes to both be controlled by a remote control class.
The document describes the implementation of Booth's multiplication algorithm using a reversible circuit. It begins with an overview of Booth's multiplication and how it can speed up multiplication by replacing sequences of additions with subtraction. It then discusses how the multiplier and multiplicand are recoded, followed by a step-by-step explanation of how the algorithm works using an example. It compares the performance of Booth's multiplication to normal addition-based multiplication. The document concludes by providing block diagrams of the conventional logic implementation and the proposed reversible circuit implementation, including details of the internal blocks used such as reversible gates.
The document describes several algorithms for dynamic programming and graph algorithms:
1. It presents four algorithms for computing the Fibonacci numbers using dynamic programming with arrays or recursion with and without memoization.
2. It provides algorithms for solving coin changing and matrix multiplication problems using dynamic programming by filling out arrays.
3. It gives algorithms to find the length and a longest common subsequence between two strings using dynamic programming.
4. It introduces algorithms to find shortest paths between all pairs of vertices in a weighted graph using Floyd's and Warshall's algorithms. It includes algorithms to output a shortest path between two vertices.
Presented at ACCU Oxford (14th September 2015)
Functional C++? As opposed to what — dysfunctional? Well, kind of, yeah. Sure, in C++ the principal unit of composition is called a function, but that doesn't mean it's a functional language. And the idea of restricting mutability of state gets a nod with const, but it's a nod not a hug. And the STL shows influences of functional programming, although it falls short of being compositional. And, yes, sure, C++11 has lambdas, but then again, these days, who doesn't? Lambda calculus was invented in the 1930s.
This talk looks at how to express functional programming ideas in (post)modern C++ in a way that can be considered idiomatic to C++, rather than trying to use the power of overloading and meta-programming to pretend C++ is Haskell or Lisp. In short, immutability beyond const and into shared and persistent data structures, concurrency beyond threading and locks, and thinking about functions as transformations and units of composition rather than actions.
Verilog is a hardware description language used to model and simulate digital circuits. It supports different levels of abstraction from algorithmic level down to transistor level. The document describes key Verilog concepts including data types, operators, procedural blocks, timing, and system tasks. It also explains the use of modules for hierarchical design and compiler directives for code reuse and timescale specification.
This chapter discusses different types of repetition statements in Java including while, do-while, for, and nested loops. It covers implementing repetition using these statements, choosing the appropriate one for a given task, and avoiding common pitfalls like off-by-one errors and infinite loops. Examples are provided to demonstrate generating tables with nested for loops and formatting output using the Formatter class.
This document presents an approach to applying functional programming principles to the model-view-controller (MVC) architectural pattern. It discusses modeling the components of MVC using functional abstractions like monads, algebraic data types, and libraries like Cats and Monix. The document outlines how the model, view, and controller could be defined in a purely functional way for a tic-tac-toe application. It also discusses some limitations of the approach and areas for further improvement.
Как работает LLVM бэкенд в C#. Егор Богатов ➠ CoreHard Autumn 2019corehard_by
LLVM содержит огромное количество оптимизаций и подходит в качестве бэкенда для многих языков программирования. Но все немного усложняется для Managed языков и JIT сценариев. В этом докладе Егор расскажет о трудностях, с которыми столкнулись в C# при реализации LLVM бэкенда.
1- Modeling Hierarchy
2- Creating Testbenches
Skills gained:
1- Reuse design units several times in a design hierarchy
2- Automate testing of design units
This is part of VHDL 360 course
Presented at Agile Prague (16th September 2014)
Video available at https://vimeo.com/108007508
These days testing is considered a sexy topic for programmers. Who'd have thought it? But what makes for good unit tests (GUTs)? There's more to effective unit testing than just knowing the assertion syntax of a framework.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What style of test partitioning is most common, and yet scales poorly and is ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and can scale as the codebase grows?
The document discusses property-based testing (PBT), an automated testing technique that generates random inputs to test code according to desired properties. PBT can find bugs more efficiently than traditional testing by leveraging generated data. It explains how PBT works by describing the inputs to generate, properties to check, running the code, and verifying outputs match properties. PBT is effective for testing complex, stateful systems by modeling state transitions and expected behaviors. Challenges of PBT include managing side effects and performance, but it can find categories of related bugs and provide a good testing ROI.
Lucio Floretta - TensorFlow and Deep Learning without a PhD - Codemotion Mila...Codemotion
With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this session, we'll work together to construct and train a neural network that recognises handwritten digits. Along the way, we'll discover some of the "tricks of the trade" used in neural network design, and finally, we'll bring the recognition accuracy of our model above 99%.
AspectJ is a technology that allows programmers to modularize crosscutting concerns in Java programs using aspects. Aspects define pointcuts that match certain join points in the execution of a program, and advice that specifies actions to take at those join points. Pointcuts, advice, and aspects provide a way to implement crosscutting functionality separately from the core program logic.
The document provides an overview of functional programming concepts including:
- Functional languages like Haskell, Scala, Clojure, F#, Erlang, and Lisp/Scheme
- Concepts of immutability, concurrency, side effects, and using monads to deal with side effects
- Examples demonstrating functional programming techniques like pattern matching, immutable collections, message passing actors, and software transactional memory (STM)
ITT 2014 - Eric Lafortune - ProGuard, Optimizer and Obfuscator in the Android...Istanbul Tech Talks
Eric presents ProGuard - the open-source optimizer and obfuscator that is integrated in the Android SDK. ProGuard reduces the size of applications, improves their performance, and makes them more difficult to reverse-engineer. Eric presents some typical results on what to expect from ProGuard, discuss the latest developments and provide some background that should help mobile developers get the best out of ProGuard.
The document contains code in C, Java, and Visual Basic that allows a user to input values for a matrix, calculates the sums of the rows, columns, and diagonals of the matrix, and determines if the matrix is a "magic matrix" by checking if all the sums are equal. The programs prompt the user for the matrix dimension, accept input to populate the matrix, display the matrix, calculate the various sums, and output whether the matrix is magic or not along with the common sum value.
This document discusses graphics programming in C++. It explains that the graphics.h and graphics.lib files are needed to use graphics functions. It also describes graphics modes, the XY coordinate system used in graphics with the origin at the top-left corner, and some common graphics functions like rectangle(), circle(), and closegraph(). It provides examples of using functions like setcolor() and putpixel() to draw on the screen.
1. Loops (while and for) allow repeating a block of code multiple times based on a condition. Key loop components are the condition, statement list, and condition update.
2. Nested loops involve loops within other loops, allowing multiple levels of repetition. Variables used in inner loops may shadow those in outer loops.
3. Loop scopes determine variable visibility. Variables declared within loops are local to the loop and not accessible outside. Variables declared before loops can be accessed within and outside loops.
This document provides an introduction to ES2015 features, including: const and let for block scoping of variables, arrow functions for shorthand syntax, classes for object-oriented programming, template strings for string interpolation, destructuring for array and object patterns, default parameters, rest and spread operators, Sets, Maps, Promises, generators, and modules for code organization. Key ES2015 features allow for more concise code through features like arrow functions, classes, template strings, and let/const variables.
The document describes various digital logic components including logic gates, adders, subtractors, encoders, decoders, multiplexers, demultiplexers, flip-flops, counters, registers, and a traffic light controller. Logic gates such as AND, OR, NOT, NAND, NOR, XOR and XNOR are implemented. Adders include half adders, full adders, parallel adders, and carry lookahead adders. Flip-flops include D, T, JK, and SR flip-flops. Counters include an up-down counter. A traffic light controller module is described to control lights using a 3-bit state register. CMOS implementations of logic gates are also provided.
Introducing Finite State Machine Modeling
Skills gained:
1- Modeling Finite State Machines
2- Identify different State Machine styles
3- Understanding State Encoding
This is part of VHDL 360 course
The document discusses C++ memory handling and object-oriented programming concepts like stack and heap memory allocation, dynamic memory allocation, copy constructors, and class interfaces.
It provides examples of stack allocation versus dynamic/heap allocation. It also demonstrates how to properly implement copy constructors to avoid shallow copy issues when composing objects. Finally, it presents an example of defining a class interface (abstract base class) for reusable and extensible code, allowing different object types like cars and airplanes to both be controlled by a remote control class.
The document describes the implementation of Booth's multiplication algorithm using a reversible circuit. It begins with an overview of Booth's multiplication and how it can speed up multiplication by replacing sequences of additions with subtraction. It then discusses how the multiplier and multiplicand are recoded, followed by a step-by-step explanation of how the algorithm works using an example. It compares the performance of Booth's multiplication to normal addition-based multiplication. The document concludes by providing block diagrams of the conventional logic implementation and the proposed reversible circuit implementation, including details of the internal blocks used such as reversible gates.
The document describes several algorithms for dynamic programming and graph algorithms:
1. It presents four algorithms for computing the Fibonacci numbers using dynamic programming with arrays or recursion with and without memoization.
2. It provides algorithms for solving coin changing and matrix multiplication problems using dynamic programming by filling out arrays.
3. It gives algorithms to find the length and a longest common subsequence between two strings using dynamic programming.
4. It introduces algorithms to find shortest paths between all pairs of vertices in a weighted graph using Floyd's and Warshall's algorithms. It includes algorithms to output a shortest path between two vertices.
Presented at ACCU Oxford (14th September 2015)
Functional C++? As opposed to what — dysfunctional? Well, kind of, yeah. Sure, in C++ the principal unit of composition is called a function, but that doesn't mean it's a functional language. And the idea of restricting mutability of state gets a nod with const, but it's a nod not a hug. And the STL shows influences of functional programming, although it falls short of being compositional. And, yes, sure, C++11 has lambdas, but then again, these days, who doesn't? Lambda calculus was invented in the 1930s.
This talk looks at how to express functional programming ideas in (post)modern C++ in a way that can be considered idiomatic to C++, rather than trying to use the power of overloading and meta-programming to pretend C++ is Haskell or Lisp. In short, immutability beyond const and into shared and persistent data structures, concurrency beyond threading and locks, and thinking about functions as transformations and units of composition rather than actions.
Verilog is a hardware description language used to model and simulate digital circuits. It supports different levels of abstraction from algorithmic level down to transistor level. The document describes key Verilog concepts including data types, operators, procedural blocks, timing, and system tasks. It also explains the use of modules for hierarchical design and compiler directives for code reuse and timescale specification.
This chapter discusses different types of repetition statements in Java including while, do-while, for, and nested loops. It covers implementing repetition using these statements, choosing the appropriate one for a given task, and avoiding common pitfalls like off-by-one errors and infinite loops. Examples are provided to demonstrate generating tables with nested for loops and formatting output using the Formatter class.
This document presents an approach to applying functional programming principles to the model-view-controller (MVC) architectural pattern. It discusses modeling the components of MVC using functional abstractions like monads, algebraic data types, and libraries like Cats and Monix. The document outlines how the model, view, and controller could be defined in a purely functional way for a tic-tac-toe application. It also discusses some limitations of the approach and areas for further improvement.
Как работает LLVM бэкенд в C#. Егор Богатов ➠ CoreHard Autumn 2019corehard_by
LLVM содержит огромное количество оптимизаций и подходит в качестве бэкенда для многих языков программирования. Но все немного усложняется для Managed языков и JIT сценариев. В этом докладе Егор расскажет о трудностях, с которыми столкнулись в C# при реализации LLVM бэкенда.
1- Modeling Hierarchy
2- Creating Testbenches
Skills gained:
1- Reuse design units several times in a design hierarchy
2- Automate testing of design units
This is part of VHDL 360 course
Presented at Agile Prague (16th September 2014)
Video available at https://vimeo.com/108007508
These days testing is considered a sexy topic for programmers. Who'd have thought it? But what makes for good unit tests (GUTs)? There's more to effective unit testing than just knowing the assertion syntax of a framework.
Testing represents a form of communication and, as such, it offers multiple levels and forms of feedback, not just basic defect detection. Effective unit testing requires an understanding of what forms of feedback and communication are offered by tests, and what styles encourage or discourage such qualities.
What style of test partitioning is most common, and yet scales poorly and is ineffective at properly expressing the behaviour of a class or component? What styles, tricks and tips can be used to make tests more specification-like and can scale as the codebase grows?
The document discusses property-based testing (PBT), an automated testing technique that generates random inputs to test code according to desired properties. PBT can find bugs more efficiently than traditional testing by leveraging generated data. It explains how PBT works by describing the inputs to generate, properties to check, running the code, and verifying outputs match properties. PBT is effective for testing complex, stateful systems by modeling state transitions and expected behaviors. Challenges of PBT include managing side effects and performance, but it can find categories of related bugs and provide a good testing ROI.
Lucio Floretta - TensorFlow and Deep Learning without a PhD - Codemotion Mila...Codemotion
With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this session, we'll work together to construct and train a neural network that recognises handwritten digits. Along the way, we'll discover some of the "tricks of the trade" used in neural network design, and finally, we'll bring the recognition accuracy of our model above 99%.
AspectJ is a technology that allows programmers to modularize crosscutting concerns in Java programs using aspects. Aspects define pointcuts that match certain join points in the execution of a program, and advice that specifies actions to take at those join points. Pointcuts, advice, and aspects provide a way to implement crosscutting functionality separately from the core program logic.
The document provides an overview of functional programming concepts including:
- Functional languages like Haskell, Scala, Clojure, F#, Erlang, and Lisp/Scheme
- Concepts of immutability, concurrency, side effects, and using monads to deal with side effects
- Examples demonstrating functional programming techniques like pattern matching, immutable collections, message passing actors, and software transactional memory (STM)
ITT 2014 - Eric Lafortune - ProGuard, Optimizer and Obfuscator in the Android...Istanbul Tech Talks
Eric presents ProGuard - the open-source optimizer and obfuscator that is integrated in the Android SDK. ProGuard reduces the size of applications, improves their performance, and makes them more difficult to reverse-engineer. Eric presents some typical results on what to expect from ProGuard, discuss the latest developments and provide some background that should help mobile developers get the best out of ProGuard.
The document contains code in C, Java, and Visual Basic that allows a user to input values for a matrix, calculates the sums of the rows, columns, and diagonals of the matrix, and determines if the matrix is a "magic matrix" by checking if all the sums are equal. The programs prompt the user for the matrix dimension, accept input to populate the matrix, display the matrix, calculate the various sums, and output whether the matrix is magic or not along with the common sum value.
This document discusses graphics programming in C++. It explains that the graphics.h and graphics.lib files are needed to use graphics functions. It also describes graphics modes, the XY coordinate system used in graphics with the origin at the top-left corner, and some common graphics functions like rectangle(), circle(), and closegraph(). It provides examples of using functions like setcolor() and putpixel() to draw on the screen.
1. Loops (while and for) allow repeating a block of code multiple times based on a condition. Key loop components are the condition, statement list, and condition update.
2. Nested loops involve loops within other loops, allowing multiple levels of repetition. Variables used in inner loops may shadow those in outer loops.
3. Loop scopes determine variable visibility. Variables declared within loops are local to the loop and not accessible outside. Variables declared before loops can be accessed within and outside loops.
This document provides an introduction to ES2015 features, including: const and let for block scoping of variables, arrow functions for shorthand syntax, classes for object-oriented programming, template strings for string interpolation, destructuring for array and object patterns, default parameters, rest and spread operators, Sets, Maps, Promises, generators, and modules for code organization. Key ES2015 features allow for more concise code through features like arrow functions, classes, template strings, and let/const variables.
This document contains C# code for Project Euler problem #104, which involves finding the first Fibonacci number with pandigital endings. The code defines functions for checking if a number contains the digits 1-k, adding two Fibonacci numbers, and converting an integer to an array. The main method takes in inputs a, b, and k, initializes the Fibonacci sequence with a and b, and iterates through calculating subsequent numbers until it finds one with pandigital endings from 1 to k or reaches 1000000 terms without finding a solution.
This document contains a midterm examination for a course consisting of 3 questions worth a total of 40 marks. Question 1 (10 marks) asks to analyze and correct errors in a given C++ program. Question 2 (10 marks) asks to generate the output of some C++ code statements. Question 3 (20 marks) asks to design a complete C++ program to solve a given equation, calculate and display the value of Z, count values of Z between 0-2000, and ask the user to change iteration if Z is above 100,000.
The document discusses functions and static variables in C++. It covers topics like:
- Creating functions, invoking functions, and passing arguments to functions.
- Determining the scope of local and global variables.
- Understanding the differences between pass-by-value and pass-by-reference.
- Using function overloading and dealing with ambiguous overloading.
- Using function prototypes for declaring function headers.
- Knowing how to use default arguments.
- Static variables.
The document discusses functions in C++. It begins by showing an example of copying and pasting code to compute 3^4 and 6^5, which is inefficient. It then demonstrates defining a function called raiseToPower() that takes a base and exponent as arguments and computes the power in a reusable way. The document explains the syntax of defining functions, including the return type, arguments, body, and return statement. It also covers topics like function overloading, function prototypes, recursion, and global versus local variables.
The document contains a C++ code snippet that defines a class called TOYS. It has data members like ToyCode, ToyName, and AgeRange. It also has member functions like Enter() to input details, Display() to output details, and WhatAge() to return the AgeRange. The question asks to write a function to read TOYS objects from a binary file called TOYS.DAT and display details of toys meant for children aged "5 to 8".
Here is a program to calculate the area of a ring using functions:
#include <iostream>
using namespace std;
// Function to calculate area of ring
double areaOfRing(double innerRadius, double outerRadius) {
return (M_PI * (outerRadius * outerRadius - innerRadius * innerRadius));
}
int main() {
double innerRadius, outerRadius;
// Get input from user
cout << "Enter inner radius of ring: ";
cin >> innerRadius;
cout << "Enter outer radius of ring: ";
cin >> outerRadius;
// Call function to calculate area
double area = areaOfRing(innerRadius, outerRadius);
//
This document provides an overview of structural programming concepts in C++ including operators, conditional statements, repetitive statements, functions, and structures. It discusses relational and logical operators, if/else and switch conditional statements, for, while, and do loops, defining and calling functions, and using structures to group related data. The key topics are explained through examples to illustrate how to implement each concept in a C++ program.
The document contains code for several C++ programs that use functions to calculate factorials, sums of even and odd numbers, solutions to quadratic equations, averages, and combinations. Functions are implemented using for, while, do-while loops. Output examples are provided for sample inputs and calculations for each program.
This document provides examples of concise Python code snippets called "1-liners" that perform various tasks in a single line. Some examples include: using a list comprehension to square each element in a range, using map and filter to sanitize a string by keeping only digit characters, sorting a list while preserving the original order of equal elements using a key function, and using zip and enumerate to pair elements from two lists. The document encourages writing functional style code in Python using features like lambda functions and list comprehensions to accomplish tasks in a single line when possible.
This document contains code snippets and explanations for 5 questions on structured programming in C++. Question 1 involves writing a program to determine if a number is odd or even. Question 2 prints a multiplication table as a lower triangular matrix using different loop structures. Question 3 solves quadratic equations. Question 4 finds the mean of N numbers using various loops. Question 5 calculates the sum of even and odd numbers up to N using different loops. The document provides the code and output for each question using different loop structures like for, while, and do-while loops.
06 lcd slides 1 - PROCESS SYNCHRONIZATION POWERPOINTAnne Lee
The document discusses process synchronization and solutions to classic synchronization problems. It describes race conditions that can occur when processes modify shared variables simultaneously. To prevent race conditions, only one process is allowed to access shared resources at a time through the use of critical sections. The document outlines software and hardware solutions for processes to enter critical sections, including semaphores, and discusses solutions to synchronization problems like the dining philosophers problem and readers-writers problem using semaphores.
I dont know what is wrong with this roulette program I cant seem.pdfarchanaemporium
I don\'t know what is wrong with this roulette program I can\'t seem to get it to run.
Game Class:
public class Game {
public static void main(String[] args) {
Table table = new Table();
BinBuilder bb = new BinBuilder();
Outcome black = new Outcome(\"Black\", 35);
Bet bet = new Bet(10, black);
table.placeBet(bet);
Bin bin = bb.wheel.get(8);
System.out.println(bin.toString());
System.out.println(table.bets.toString());
System.out.println(black.toString());
ListIterator i = table.bets.listIterator();
Iterator b = bin.outcomes.iterator();
while(i.hasNext()) {
System.out.println(i.next().outcome.name.toString());
while(b.hasNext()){
System.out.println(b.next().name.toString());
if(i.next().outcome.equals(b.next())){
System.out.println(\"Win!\");
}
else{
System.out.println(\"Win :/\");
}
}
}
}
}
Player Class
public class Player {
public Table table;
public Outcome black;
public Bet bet;
public Player(Table table) {
table = new Table();
black = new Outcome(\"Black\", 1);
}
void placeBets() {
Bet bet = new Bet(100, black);
table.placeBet(bet);
}
void win(Bet bet) {
System.out.println(\"You\'ve won: \" + bet.winAmount());
}
void lose(Bet bet) {
System.out.println(\"You lost!\" + bet.loseAmount() + \":/\");
}
}
Outcome class
public class Outcome implements Comparable {
public String name;
public int odds;
public Outcome(String name, int odds){
this.name = name;
this.odds = odds;
}
public int winAmount(int amount){
return amount*this.odds;
}
public boolean equals(Outcome other){
return (this.name.equals(other.name));
}
public String toString() {
Object[] values= { name, new Integer(odds) };
String msgTempl= \"{0} ({1}:1)\";
return MessageFormat.format( msgTempl, values );
}
@Override
public int compareTo(E arg0) {
if(this.equals(arg0)){
return 0;
}
return 1;
}
}
Table Class
public class Table {
public int limit = 1000;
public LinkedList bets;
public Table() {
bets = new LinkedList();
}
public boolean isValid(Bet bet) {
int sum = 0;
for(Bet bett: bets) {
sum += bett.amountBet;
}
return (sum>limit);
}
public void placeBet(Bet bet) {
bets.add(bet);
}
ListIterator iterator() {
return bets.listIterator();
}
}
Wheel Class
public class Wheel extends TreeSet {
Vector bins;
NonRandom rng;
Set all_outcomes;
Wheel(NonRandom rng){
this.rng = rng;
rng = new NonRandom();
all_outcomes = new TreeSet();
bins = new Vector(38);
for (int i=0; i<38; i++){
bins.add(i, new Bin());
}
}
Bin next(){
int rand = rng.next(38);
return bins.elementAt(rand);
}
Bin get(int bin){
return bins.elementAt(bin);
}
public Outcome getOutcome( String name ){
TreeSet result= new TreeSet();
for( Iterator i = all_outcomes.iterator(); i.hasNext(); ) {
Outcome oc= i.next();
if( oc.name.contains(name) ) {result.add( oc );}
}
return result.first();
}
public void addOutcome(int bin, Outcome outcome) {
all_outcomes.add(outcome);
this.bins.elementAt(bin).add(outcome);
}
}
Bet Class
public class Bet {
public int amountBet;
public Outcome outcome;
public Bet(int amount, Outcome outcome) {
this.outcome = o.
The document contains multiple code snippets and questions asking to find the output of each code. The code snippets demonstrate concepts like classes, structures, arrays, pointers and manipulating array/object values. The summaries provided would be:
1) The code demonstrates classes, objects and methods to concatenate state names and display the output.
2) Similar to the first problem, this code demonstrates classes, objects and methods to concatenate student names and display the output.
3) The code uses arrays, pointers and loops to manipulate array values and display the output.
4) This is another problem demonstrating similar concepts as the previous ones - arrays, pointers, loops and methods to manipulate values and display the output.
The document discusses drawing flow charts for different types of loops in C programming:
1. A for loop that calculates total price by iterating through items and getting price input.
2. A for loop that prints odd numbers by iterating backwards and adding a constant to each number.
3. A while loop that prints numbers from 1 to 10.
4. A nested for loop that prints a triangle of stars by iterating through rows and columns.
This document discusses using function pointers to select which arithmetic operation to perform based on a character. It defines functions for the four basic operations of addition, subtraction, multiplication and division. It then shows an example using a switch statement to select the operation, and another using a function pointer to select the operation. It defines a function that takes a and b values and a function pointer to call the operation.
The document discusses new C++20 features including the spaceship operator, modules, ranges library, concepts, and coroutines. It provides examples of using the spaceship operator for comparison, defining modules and importing/exporting functionality between modules, using views and ranges to lazily filter and transform sequences, and using coroutines with co_await, co_yield, and coroutine handles.
Random speed program in CPP
This program is calculating the random speed explicitly and implementing the concept of matrix.
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Osteoporosis - Definition , Evaluation and Management .pdfJim Jacob Roy
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
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Histololgy of Female Reproductive System.pptxAyeshaZaid1
Dive into an in-depth exploration of the histological structure of female reproductive system with this comprehensive lecture. Presented by Dr. Ayesha Irfan, Assistant Professor of Anatomy, this presentation covers the Gross anatomy and functional histology of the female reproductive organs. Ideal for students, educators, and anyone interested in medical science, this lecture provides clear explanations, detailed diagrams, and valuable insights into female reproductive system. Enhance your knowledge and understanding of this essential aspect of human biology.
TEST BANK For Community Health Nursing A Canadian Perspective, 5th Edition by...Donc Test
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Local Advanced Lung Cancer: Artificial Intelligence, Synergetics, Complex Sys...Oleg Kshivets
Overall life span (LS) was 1671.7±1721.6 days and cumulative 5YS reached 62.4%, 10 years – 50.4%, 20 years – 44.6%. 94 LCP lived more than 5 years without cancer (LS=2958.6±1723.6 days), 22 – more than 10 years (LS=5571±1841.8 days). 67 LCP died because of LC (LS=471.9±344 days). AT significantly improved 5YS (68% vs. 53.7%) (P=0.028 by log-rank test). Cox modeling displayed that 5YS of LCP significantly depended on: N0-N12, T3-4, blood cell circuit, cell ratio factors (ratio between cancer cells-CC and blood cells subpopulations), LC cell dynamics, recalcification time, heparin tolerance, prothrombin index, protein, AT, procedure type (P=0.000-0.031). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and N0-12 (rank=1), thrombocytes/CC (rank=2), segmented neutrophils/CC (3), eosinophils/CC (4), erythrocytes/CC (5), healthy cells/CC (6), lymphocytes/CC (7), stick neutrophils/CC (8), leucocytes/CC (9), monocytes/CC (10). Correct prediction of 5YS was 100% by neural networks computing (error=0.000; area under ROC curve=1.0).
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Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
6. Slide 6
When a program encounters a while loop, the test
condition is evaluated first. If the condition is TRUE,
the program executes the body of the loop. The
program then returns to the test condition and
reevaluates. If the condition is still TRUE, the body
executes again.
while Syntax
8. Slide 8
Example #2
#include<iostream>
using namespace std;
int main()
{
int input;
cout <<"enter number between 5 and 89, inclusive: ";
cin >> input;
while (input < 5 || input > 89)
{
cout << "that value is unacceptable... try again: ";
cin >> input;
}
cout << "the value"<<input<< "is in the interval[5, 89]"<< endl;
cin.get();
//system("PAUSE");
return 0;
}
9. Slide 9
Example #3
#include<iostream>
using namespace std;
int main()
{
long sum = 0;
int counter = 1;
while (counter<=100)
{
sum += counter;
counter++ ;
}
cout << "sum of first 100 integers is "<< sum ;
cin.get();
system("PAUSE");
return 0;
}
12. Slide 12
Example #1
do{
cout << "Enter an integer between 2 and 174 (inclusive)"
<< "that is a multiple of 3: ";
cin >> input;
}
while (!(input >= 2 && input <= 174 && input%3 == 0));
15. Slide 15
• The startExpression is evaluated before the loop begins. It is
acceptable to declare and assign in the startExpression(such as int x =
1;).
• This startExpression is evaluated only once at the beginning of the loop.
• The testExpression will evaluate to TRUE (nonzero) or FALSE (zero).
While TRUE, the body of the loop repeats. When the testExpression
becomes FALSE, the looping stops and the program continues with the
statement immediately following the for loop body in the program code.
• The countExpression executes after each trip through the loop. The
count may increase/decrease by an increment of 1 or of some other
value.
• Braces are not required if the body of the for loop consists of only ONE
statement. Please indent the body of the loop for readability.
for Syntax
16. Slide 16
Example #1
int max;
float average;
long sum = 0;
short i = 0;
cout << "enter positive integer: ";
cin >> max;
for(i=0; i <= max; i++)
sum += i;
average = sum/max;
cout << "average is " << average << endl;
101. Slide 101
The pseudo-random number generator is initialized using the argument
passed as seed.
For every different seed value used in a call to srandsrand, the pseudo-randompseudo-random
number generatornumber generator can be expected to generate a different succession of
results in the subsequent calls to rand.
Two different initializations with the same seed will generate the same
succession of results in subsequent calls to rand.
In order to generate random-like numbers, srandsrand is usually initialized to some
distinctive runtime value, like the value returned by function time (declared in
header <ctime><ctime>). This is distinctive enough for most trivial randomization
needs.
102. Slide 102
srand()
#include <iostream>
#include <ctime>
#include <cstdlib>
using namespace std;
int main()
{
srand(time(NULL));
for(int i = 1; i <= 10; i++)
cout << rand() << endl;
return 0;
}
103. Slide 103
srand()
#include <iostream>
#include <ctime>
#include <cstdlib>
using namespace std;
int main()
{
srand(time(NULL));
for(int i = 1; i <= 10; i++)
cout << rand() << endl;
return 0;
}
464
53735
342
23
6578
889
93723
7165
7422457
78614
First Execution
104. Slide 104
srand()
#include <iostream>
#include <ctime>
#include <cstdlib>
using namespace std;
int main()
{
srand(time(NULL));
for(int i = 1; i <= 10; i++)
cout << rand() << endl;
return 0;
}
464
53735
342
23
6578
889
93723
7165
7422457
78614
First Execution
6877
245768
215
57618
78511
79738
3461
175117
35
257868
Second Execution
105. Slide 105
limiting range: [0, MAX_RAND]
#include <iostream>
#include <ctime>
#include <cstdlib>
using namespace std;
int main()
{
long next_value;
srand(time(NULL));
for (int i = 1; i <= 100000; i++)
if (rand()%100 <= 34)
cout << "hello" << endl; // ~35,000 times
else
cout << "goodbye" << endl; // ~65,000 times
return 0;
}
106. Slide 106
#include <iostream>
using namespace std;
void main ()
{
int x, y;
double z;
if(typeid(x) == typeid(y))
cout << "x and y are of same type."<<endl;
else
cout<< "x and y are of different type. " <<endl;
cout << "The type of z is "<< typeid(z).name()<<endl;
cout<< "The type of y is "<< typeid(y).name() << endl;
}
typeid ()
The expected output of the program is given below.
x and y are of same type.
The type of z is double
The type of y is int
The operator typeid () identifies the type of variable. Here we only show the use
of the operator. It returns reference to type of its argument. It is coded as:
typeid(object);