The map object holds the data in the form of key-value pair.
The value may be any object or primitive data type. The map object iterates the items in insertion order.
This slide guides through the differences of the Span and Div tags in HTML.
I started a channel on YouTube for Networking lovers. "VERY SIMPLE NETWORKING" SERIES can be found at http://www.youtube.com/bgccnadom.
THANK YOU FOR YOUR SUPPORT AND LIKES.
If you are using jQuery, you need to understand the Document Object Model and how it accounts for all the elements inside any HTML document or Web page.
Abstract classes allow for incomplete implementations and common functionality to be shared among subclasses, interfaces define a contract for methods without implementations, and both are useful for abstraction and polymorphism by defining types independently of their concrete implementations.
The document discusses the Document Object Model (DOM), which defines a standard for accessing and manipulating HTML, XML, and SVG documents. It defines the nodes that make up an HTML document as well as the relationships between the nodes. The DOM represents an HTML document as nodes and objects that can be manipulated programmatically. Key points covered include the DOM node tree structure, common node types like elements and attributes, and methods for accessing nodes like getElementById() and getElementsByTagName().
The document discusses the Document Object Model (DOM), which defines the logical structure of objects in an HTML document and how they can be manipulated with JavaScript. The DOM represents an HTML document as nodes and objects that can be accessed and modified with JavaScript. All HTML elements, text, and attributes can be accessed through the DOM to be modified, deleted, or have new elements created. Events allow scripts to run in response to user actions on a page.
The document discusses web applications and how they work. It explains that web applications have programs running on servers that retrieve data from sensors or databases and dynamically generate web pages in response to user requests. It also covers common programming languages used to build web apps like PHP and ASP, and how technologies like AJAX allow for asynchronous JavaScript requests to update parts of pages without reloading.
What is an Array?
Array are the homogeneous(similar) collection of data types.
Array Size remains same once created.
Simple Declaration format for creating an array
type [ ] identifier = new type [integral value];
What is the DOM?
The DOM is a W3C (World Wide Web Consortium) standard.
The DOM defines a standard for accessing documents:
"The W3C Document Object Model (DOM) is a platform and language-neutral interface that allows programs and scripts to dynamically access and update the content, structure, and style of a document."
The W3C DOM standard is separated into 3 different parts:
Core DOM - standard model for all document types
XML DOM - standard model for XML documents
HTML DOM - standard model for HTML documents
The HTML DOM (Document Object Model)
When a web page is loaded, the browser creates a Document Object Model of the page.
The HTML DOM model is constructed as a tree of Objects.
With the HTML DOM, JavaScript can access and change all the elements of an HTML document.
This document discusses SQL SELECT statements and their use in retrieving data from database tables. It covers:
- The basic SELECT statement syntax including selecting all or specific columns and from which table(s)
- Additional functionality like arithmetic expressions, column aliases, concatenation operators, and literal strings
- How to work with null values, define column headings, and eliminate duplicate rows
- The interaction between SQL statements and the iSQL*Plus environment for running queries
PHP string function helps us to manipulate string in various ways. There are various types of string function available. Here we discuss some important functions and its use with examples.
Stored procedures and functions are named PL/SQL blocks that are stored in a database. They improve performance by reducing network traffic and allowing shared memory usage. Stored procedures are created using the CREATE PROCEDURE statement and can accept parameters using modes like IN, OUT, and IN OUT. Stored functions are similar but return a value. Packages group related database objects like procedures, functions, types and provide modularity and information hiding.
The presentation provides an introduction to the Document Object Model (DOM) and how it allows JavaScript to access and modify HTML documents. It discusses how the DOM presents an HTML document as a tree structure, and how JavaScript can then restructure the document by adding, removing, or changing elements. It also gives examples of how DOM properties and methods allow accessing and manipulating specific nodes, such as changing the background color of the document body.
PHP is a server-side scripting language used to create dynamic web pages. It allows embedding PHP code within HTML pages and interacting with databases. Key elements of PHP include variables, control structures, functions, and sessions. Sessions store user data on the server instead of the client to avoid cookies and allow tracking users across multiple pages.
The document discusses key features of ECMAScript 6 (ES6), including:
- Default parameters, template literals, multi-line strings, spread operator, and enhanced object literals which add concise syntaxes.
- Arrow functions which provide a shorter syntax for writing anonymous functions.
- Block-scoped constructs like let and const that add block scoping to variables and constants.
- Classes which provide a cleaner way to define constructor functions and objects.
- Hoisting differences between function declarations and class declarations.
- Using ES6 today by compiling it to ES5 using a tool like Babel.
The document discusses the JavaScript Browser Object Model (BOM) which allows access and manipulation of browser windows and screens. It describes common BOM objects like window, navigator, screen, location, and history that provide information about the browser and user environment. Examples are given showing how to use the window object to set timeouts and intervals, and the navigator object to detect the browser name and version.
Mockito is a mocking framework for Java that allows developers to focus tests on interactions between objects rather than states. It provides test doubles like mocks and spies to simulate dependencies and verify expected interactions. Mockito allows mocking method calls and configuring return values or exceptions to test different scenarios. It provides default values for unstubbed calls to avoid overspecifying tests.
Loops execute a block of code a specified number of times, or while a specified condition is true.
Often when you write code, you want the same block of code to run over and over again in a row. Instead of adding several almost equal lines in a script we can use loops to perform a task like this.
In PHP, we have the following looping statements:
while - loops through a block of code while a specified condition is true
do...while - loops through a block of code once, and then repeats the loop as long as a specified condition is true
for - loops through a block of code a specified number of times
foreach - loops through a block of code for each element in an array
This document provides an overview of SQL (Structured Query Language). It discusses that SQL is used to define, manipulate, and control data in a relational database. It can define database schemas, insert, modify, retrieve, and delete data from databases. The document also provides a brief history of SQL and describes its main components like DDL, DML, and DCL. It provides examples of common SQL commands and functions. Finally, it discusses SQL Plus which is a basic Oracle utility used to interact with databases through a command line interface.
This document provides an introduction to jQuery, covering its features, comparisons to other frameworks, selectors, and plugins. jQuery is an open-source JavaScript library that simplifies DOM manipulation, event handling, animations, and Ajax interactions. It uses CSS-style selectors to select and manipulate HTML elements. Some key features include DOM element selections, DOM traversal/modification, DOM manipulation based on CSS selectors, events, effects/animations, Ajax, and extensibility through plugins. The document also discusses jQuery versus other frameworks like Dojo and YUI, demonstrates basic selectors and methods, and encourages the use of plugins to add additional functionality.
A stored procedure is a group of SQL statements that is stored in a database. Stored procedures accept input parameters which allow a single procedure to be used by multiple clients, reducing network traffic and increasing performance. Stored procedures provide modular programming, faster execution, reduced network traffic, and better data security compared to other methods. Procedures differ from functions in that procedures can have input/output parameters and allow DML statements while functions can only have input parameters and only allow select statements.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
Frontend 'vs' Backend Getting the Right MixBob Paulin
Modern website architectures are typically composed of 2 parts: frontend and backend. Building out frontend and backend components requires diverse skill sets and often have competing interests when it comes to developer productivity and site performance. This talk will discuss some ways Java frameworks deal with these issues as well as benefits and tradeoffs. The talk will include combine demos with cutting edge frontend frameworks (Handlebarsjs, CoffeeScript, Less) and popular Java backends (Spring, Apache CXF).
Bio:
Bob Paulin is an independent consultant that has been developing on Java for the past 10 years. Bob is focuses on Business Enablement and Web Centric Applications. He’s presented in the past at CJUG on Apache Sling and is currently helping his clients perform modular development/design, automation for continuous delivery, and build forward leaning web applications. When not coding, Bob enjoys coaching football and spending time with his with his wife and 3 kids.
An array is a data structure that stores multiple values in a single variable. There are two main types of arrays in PHP: indexed arrays which use integers as keys and associative arrays which use named keys like strings. The document discusses how to define, access, iterate through and perform operations on arrays in PHP such as counting elements and checking if a key exists.
- The document discusses database testing concepts including CRUD operations, the database testing process, ACID properties, SQL commands like DDL, DML, DCL, and TCL. It covers database objects, constraints, joins, and clauses like where, order by, group by and more. It aims to make the tester technically strong in key database concepts despite perceived negatives around database testing adding bottlenecks or costs. It emphasizes keeping SQL queries simple to prevent defects.
The document discusses various HTML form elements and attributes. It describes common form controls like text fields, checkboxes, radio buttons, select boxes, buttons and file uploads. It explains how to create forms using the <form> tag and how to structure inputs using tags like <input>, <select>, <textarea> and <button>. The document also provides details on attributes for each form control that specify properties like name, value, type and more.
This document outlines a presentation on jQuery fundamentals. The presentation introduces jQuery as a lightweight JavaScript library for DOM manipulation, event handling, Ajax, and animation. It covers jQuery syntax, selectors, DOM traversal and manipulation methods. It also discusses jQuery's event system, Ajax support, and plugins. The presentation includes demos of common jQuery tasks to demonstrate its usage and capabilities.
Implementing virtual machines in go & c 2018 reduxEleanor McHugh
An updated version of my talk on virtual machine cores comparing techniques in C and Go for implementing dispatch loops, stacks & hash maps.
Lots of tested and debugged code is provided as well as references to some useful/interesting books.
This document discusses SQL SELECT statements and their use in retrieving data from database tables. It covers:
- The basic SELECT statement syntax including selecting all or specific columns and from which table(s)
- Additional functionality like arithmetic expressions, column aliases, concatenation operators, and literal strings
- How to work with null values, define column headings, and eliminate duplicate rows
- The interaction between SQL statements and the iSQL*Plus environment for running queries
PHP string function helps us to manipulate string in various ways. There are various types of string function available. Here we discuss some important functions and its use with examples.
Stored procedures and functions are named PL/SQL blocks that are stored in a database. They improve performance by reducing network traffic and allowing shared memory usage. Stored procedures are created using the CREATE PROCEDURE statement and can accept parameters using modes like IN, OUT, and IN OUT. Stored functions are similar but return a value. Packages group related database objects like procedures, functions, types and provide modularity and information hiding.
The presentation provides an introduction to the Document Object Model (DOM) and how it allows JavaScript to access and modify HTML documents. It discusses how the DOM presents an HTML document as a tree structure, and how JavaScript can then restructure the document by adding, removing, or changing elements. It also gives examples of how DOM properties and methods allow accessing and manipulating specific nodes, such as changing the background color of the document body.
PHP is a server-side scripting language used to create dynamic web pages. It allows embedding PHP code within HTML pages and interacting with databases. Key elements of PHP include variables, control structures, functions, and sessions. Sessions store user data on the server instead of the client to avoid cookies and allow tracking users across multiple pages.
The document discusses key features of ECMAScript 6 (ES6), including:
- Default parameters, template literals, multi-line strings, spread operator, and enhanced object literals which add concise syntaxes.
- Arrow functions which provide a shorter syntax for writing anonymous functions.
- Block-scoped constructs like let and const that add block scoping to variables and constants.
- Classes which provide a cleaner way to define constructor functions and objects.
- Hoisting differences between function declarations and class declarations.
- Using ES6 today by compiling it to ES5 using a tool like Babel.
The document discusses the JavaScript Browser Object Model (BOM) which allows access and manipulation of browser windows and screens. It describes common BOM objects like window, navigator, screen, location, and history that provide information about the browser and user environment. Examples are given showing how to use the window object to set timeouts and intervals, and the navigator object to detect the browser name and version.
Mockito is a mocking framework for Java that allows developers to focus tests on interactions between objects rather than states. It provides test doubles like mocks and spies to simulate dependencies and verify expected interactions. Mockito allows mocking method calls and configuring return values or exceptions to test different scenarios. It provides default values for unstubbed calls to avoid overspecifying tests.
Loops execute a block of code a specified number of times, or while a specified condition is true.
Often when you write code, you want the same block of code to run over and over again in a row. Instead of adding several almost equal lines in a script we can use loops to perform a task like this.
In PHP, we have the following looping statements:
while - loops through a block of code while a specified condition is true
do...while - loops through a block of code once, and then repeats the loop as long as a specified condition is true
for - loops through a block of code a specified number of times
foreach - loops through a block of code for each element in an array
This document provides an overview of SQL (Structured Query Language). It discusses that SQL is used to define, manipulate, and control data in a relational database. It can define database schemas, insert, modify, retrieve, and delete data from databases. The document also provides a brief history of SQL and describes its main components like DDL, DML, and DCL. It provides examples of common SQL commands and functions. Finally, it discusses SQL Plus which is a basic Oracle utility used to interact with databases through a command line interface.
This document provides an introduction to jQuery, covering its features, comparisons to other frameworks, selectors, and plugins. jQuery is an open-source JavaScript library that simplifies DOM manipulation, event handling, animations, and Ajax interactions. It uses CSS-style selectors to select and manipulate HTML elements. Some key features include DOM element selections, DOM traversal/modification, DOM manipulation based on CSS selectors, events, effects/animations, Ajax, and extensibility through plugins. The document also discusses jQuery versus other frameworks like Dojo and YUI, demonstrates basic selectors and methods, and encourages the use of plugins to add additional functionality.
A stored procedure is a group of SQL statements that is stored in a database. Stored procedures accept input parameters which allow a single procedure to be used by multiple clients, reducing network traffic and increasing performance. Stored procedures provide modular programming, faster execution, reduced network traffic, and better data security compared to other methods. Procedures differ from functions in that procedures can have input/output parameters and allow DML statements while functions can only have input parameters and only allow select statements.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
Frontend 'vs' Backend Getting the Right MixBob Paulin
Modern website architectures are typically composed of 2 parts: frontend and backend. Building out frontend and backend components requires diverse skill sets and often have competing interests when it comes to developer productivity and site performance. This talk will discuss some ways Java frameworks deal with these issues as well as benefits and tradeoffs. The talk will include combine demos with cutting edge frontend frameworks (Handlebarsjs, CoffeeScript, Less) and popular Java backends (Spring, Apache CXF).
Bio:
Bob Paulin is an independent consultant that has been developing on Java for the past 10 years. Bob is focuses on Business Enablement and Web Centric Applications. He’s presented in the past at CJUG on Apache Sling and is currently helping his clients perform modular development/design, automation for continuous delivery, and build forward leaning web applications. When not coding, Bob enjoys coaching football and spending time with his with his wife and 3 kids.
An array is a data structure that stores multiple values in a single variable. There are two main types of arrays in PHP: indexed arrays which use integers as keys and associative arrays which use named keys like strings. The document discusses how to define, access, iterate through and perform operations on arrays in PHP such as counting elements and checking if a key exists.
- The document discusses database testing concepts including CRUD operations, the database testing process, ACID properties, SQL commands like DDL, DML, DCL, and TCL. It covers database objects, constraints, joins, and clauses like where, order by, group by and more. It aims to make the tester technically strong in key database concepts despite perceived negatives around database testing adding bottlenecks or costs. It emphasizes keeping SQL queries simple to prevent defects.
The document discusses various HTML form elements and attributes. It describes common form controls like text fields, checkboxes, radio buttons, select boxes, buttons and file uploads. It explains how to create forms using the <form> tag and how to structure inputs using tags like <input>, <select>, <textarea> and <button>. The document also provides details on attributes for each form control that specify properties like name, value, type and more.
This document outlines a presentation on jQuery fundamentals. The presentation introduces jQuery as a lightweight JavaScript library for DOM manipulation, event handling, Ajax, and animation. It covers jQuery syntax, selectors, DOM traversal and manipulation methods. It also discusses jQuery's event system, Ajax support, and plugins. The presentation includes demos of common jQuery tasks to demonstrate its usage and capabilities.
Implementing virtual machines in go & c 2018 reduxEleanor McHugh
An updated version of my talk on virtual machine cores comparing techniques in C and Go for implementing dispatch loops, stacks & hash maps.
Lots of tested and debugged code is provided as well as references to some useful/interesting books.
An important part of electrical engineering is PCB design. One impor.pdfARORACOCKERY2111
An important part of electrical engineering is PCB design. One important part of PCB design
when using microcontrollers is determining which pin package to use. Develop a MATLAB
function that requests input on whether to use an LQFP100, LQFP144, or LQFP176 pin package
and outputs the corresponding pin package. The MATLAB function should receive an input of 1,
2, or 3 to determine the respective pin package. Think of it as a label maker with a dial input. It
should be made sure that the full strings are returned and outputted to the console. Use a method
other than the switch/case or if/else structures in order to develop this solution (i.e. build a
matrix). Answer the following questions:
1) In this context, explain the terminology ‘map’.
2) What is a good way of storing such a map in MATLAB?
3) How would you change the function to use 0, 1, and 2 as inputs instead of 1, 2, and 3?
4) How does MATLAB differ from Python when using arrays / lists?
Solution
prompt = \'Enter values 1 for LQFP100 2 for LQFP144 and 3 for LQFP176 \';
c = {\'LQFP100\', \'LQFP144\', \'LQFP176\'};
x = input(prompt)
c(1,x)
A Map object is a data structure that allows you to retrieve values using a corresponding key.
Keys can be real numbers or character vectors and provide more flexibility for data access than
array indices, which must be positive integers. Values can be scalar or nonscalar arrays.
Construction
mapObj = containers.Map constructs an empty Map container mapObj.
mapObj = containers.Map(keySet,valueSet) constructs a Map that contains one or more values
and a unique key for each value.
mapObj = containers.Map(keySet,valueSet,\'UniformValues\',isUniform) specifies whether all
values must be uniform (either all scalars of the same data type, or all character vectors).
Possible values for isUniform are logical true (1) or false (0).
mapObj = containers.Map(\'KeyType\',kType,\'ValueType\',vType) constructs an empty Map
object and sets the KeyType and ValueType properties. The order of the key type and value type
argument pairs is not important, but both pairs are required.
Input Arguments
keySet
1-by-n array that specifies n unique keys for the map.
All keys in a Map object are real numeric values or all keys are character vectors. If n > 1 and the
keys are character vectors, keySet must be a cell array. The number of keys in keySet must equal
the number of values in valueSet.
valueSet
1-by-n array of any class that specifies n values for the map. The number of values in valueSet
must equal the number of keys in keySet.
\'UniformValues\'
Parameter character vector to use with the isUniform argument.
isUniform
Logical value that specifies whether all values are uniform. If isUniform is true (1), all values
must be scalars of the same data type, or all values must be character vectors. If isUniform is
false (0), then containers.Map sets the ValueType to \'any\'.
Default: true for empty Map objects, otherwise determined by the data types of values in
valueSet.
\'Key.
Use C++ for all 1 bool mapContainsKeysarrayltintgt nu.pdfadmin447081
Use C++ for all
1) bool mapContainsKeys(array<int> numbersArray, map<int, char>itemsMap)
This function will have two parameters. The first is an array of numbers known as numbersArray.
A second is a map known as an itemsMap. The itemsMap will have keys as integers and values
as characters. The functions should return true if at least one of the numbers in the numbersArray
is a key in itemsMap. It should return false otherwise.
Example:
itemsMap: [8, 10, 5]
numbersArray: {9: 'F', 10: 'X'}
output: True
itemsMap: [8, 9, 5, 1]
numbersArray: {6: 'i', 5: 'Y', 1: 'N', 0: 'E'}
output: True
itemsMap: [9, 10, 4]
numbersArray: {5: 'i', 3: 'o', 1: 'N'}
output: False
2) map<char, int> concatenateMap(Vector<Map<char, int>>mapVector)
This function will be given a single parameter known as the mapVector. Your job is to combine all
the map found in the mapVector into a single map and return it. There are two rules for adding
values to the map:
You must add key-value pairs to the map in the same order found in the map vector.
If the key already exists, it cannot be overwritten. In other words, if two or more maps have the
same key, the key to be added cannot be overwritten by the subsequent maps.
Example:
Map Vector: [{'Z': 6, 'k': 10, 'w': 3, 'I': 8, 'Y': 5}, {'Y': 1, 'Z': 4}, {'X': 2, 'L': 5}]
Expected: {'Z': 6, 'k': 10, 'w': 3, 'I': 8, 'Y': 5, 'X': 2, 'L': 5}
Map Vector: [{'z': 0}, {'z': 7}]
Expected: {'z': 0}
Map Vector: [{'b': 7}, {'b': 10, 'A': 8, 'Z': 2, 'V': 1}]
Expected: {'b': 7, 'A': 8, 'Z': 2, 'V': 1}
3) map<char, int> uniqueValues(map<char, int>inputMap)
This function will receive a single map parameter known as inputMap. inputMap will contain a char
and integers as values. This function is supposed to search inputMap to find all values that appear
only once in the inputMap. The function will create another map named toReturn. For all values
that appear once in inputMap the function will add the value as a key in toReturn and set the value
of the key to the key of the value in inputMap (swap the key-value pairs, since inputMap contains
letters to numbers, toReturn will contain Numbers to Letters). Finally, the function should return
toReturn.
Example:
Input map: {'X': 2, 'Y': 5, 'N': 2, 'L': 2, 'W': 1, 'G': 0, 'R': 1}
Expected output: {5: 'Y', 0: 'G'}
Input map: {'Z': 3, 'P': 3, 'E': 2, 'G': 0, 'T': 5, 'L': 1, 'Q': 0}
Expected output: {2: 'E', 5: 'T', 1: 'L'}
Input map: {'E': 3, 'X': 3}
Expected output: {}
Input map: {'G': 3, 'D': 3, 'C': 4, 'Q': 1, 'H': 1, 'M': 2, 'Z': 1, 'W': 3}
Expected output: {4: 'C', 2: 'M'}
Input map: {'O': 2, 'T': 1, 'L': 5, 'W': 5, 'Z': 4, 'M': 5, 'B': 4, 'D': 0, 'F': 3, 'E': 1}
Expected output: {2: 'O', 0: 'D', 3: 'F'}.
This document provides an overview of common JavaScript data structures including Object, Array, Map, Set, WeakMap, WeakSet and their properties and usage. It discusses how each structure maps and associates values differently and notes browser compatibility details.
The document provides a cheat sheet on using purrr functions to apply functions to lists and vectors. It summarizes the main map functions like map(), map2(), and pmap() to apply functions element-wise over lists. It also describes reduce() and accumulate() functions to recursively apply functions over lists. Finally it discusses working with list columns in data frames, applying map functions within mutate() and transmute() to manipulate list elements column-wise.
This document provides an overview of ES6 (ECMAScript 2015) features including: let, const and var; template strings; arrow functions; destructuring; default parameters; rest and spread syntax; iterators; classes; modules; maps, sets, weakmaps and weaksets; promises; and more. It explains each feature and provides code examples to demonstrate usage and differences from ES5. Browser compatibility notes are also included to advise on safe usage of new features across environments.
Не так давно вышел C# 6, основанный на новом компиляторе Roslyn. Обновление языка содержит большое количество приятных синтаксических конструкций, которые упрощают написание кода и делают его более лаконичным. Но Microsoft на этом не успокоились: прямо сейчас ведётся работа над 7-ой версией языка, которую планируют сделать ещё удобнее, благодаря реализации современных тенденций написания кода. В этом докладе мы поговорим о том, что может войти в C# 7. В числе прочего будут обсуждаться Tuples, Pattern matching, Records / algebraic data types, Nullability tracking и многое другое.
Finally, in javaScript 2015 we get 2 new built-in data structures that makes our life a little bit easier. On this lecture, we will explore various implementations of common data structures in javaScript using Arrays, Objects and the new members in javaScript 2015: Maps and Sets.
This document discusses Java generics, collections, streams and related concepts. It provides code examples of:
- Defining generic classes and methods
- Using common collection interfaces like List, Set, Map and their implementations
- Working with streams to perform operations on data in a declarative way
- Using lambda expressions and functional interfaces with streams
This document discusses higher order functions (HOFs) in Scala. It provides examples of using HOFs like map and filter to transform and filter collections in both Java and Scala style. It highlights how HOFs help solve common collection problems by looping and creating intermediate containers more idiomatically in Scala. The key benefits are code readability, immutability, and reuse through built-in functions rather than reimplementing solutions. It concludes with examples of other powerful HOFs and topics to master for becoming a Scala expert.
Modular Module Systems: a survey discusses different approaches to modularity in programming languages. It covers modules as a way to separate compilation, manage namespaces, and hide/abstract types and values. Different languages take different approaches, from separate files in C to more robust modules in ML and Haskell that allow nesting, signatures, functors, and type classes. The document uses examples from C, C++, ML, Haskell to illustrate how modules have evolved to support separate compilation, abstraction, and reuse through mechanisms like functors and signatures.
The document discusses various aspects of arrays in C programming, including:
- Declaring and initializing one-dimensional arrays
- Accessing array elements using pointers and indexes
- Declaring and initializing two-dimensional arrays
- Passing arrays to functions by passing the base address
- Declaring arrays of pointers where each element is a pointer variable
The document contains code for multiple programming problems across different sets. The first problem in Set 1 (Program 1) deals with checking if the sums of three stacks are equal. It takes three stacks as input, calculates their sums by traversing them in reverse order and pushing elements to additional stacks, and returns the common sum if the sums are equal at any point as the stacks are traversed. The second problem (Program 2) checks if a binary tree is complete by doing a level order traversal using a queue - it returns false if any null child node is encountered when a non-null node is still in the queue.
Implementing Software Machines in C and GoEleanor McHugh
The next iteration of the talk I gave at Progscon, this introduces examples of Map implementation (useful for caches etc.) and outlines for addition of processor core code in a later talk.
I want help in the following C++ programming task. Please do coding .pdfbermanbeancolungak45
I want help in the following C++ programming task. Please do coding in C++.
Persistent Data Structures
A persistent data structure is one in which we can make changes (such as inserting and removing
elements) while still preserving the original data structure Of course, an easy way to do this is to
create a new copy of the entire data structure every time we perform an operation that changes
the data structure, but it is much more efficient to only make a copy of the smallest possible
portion of the data structure.
First, let\'s look at one of the easiest possible data structures — a stack, implemented using a
linked list.
Persistent Stack
Let\'s say that we have a stack S1, and we want to create a new stack S2, which is the result of
pushing a new element X onto S1, without changing S1 at all. This is easy — we just add a new
element that points to S1:
Starting with the stack S1:
We push X on S1, to get S2, leaving S1 as it was. So after the operation we have two versions of
the stack S1 the older version with elements A, B and C and S2 the newer version with elements
X, A, B and C.
What about popping? That works in the same way. Starting with our original S1 (elements A, B
and C), we can pop off the first element (A), to get S2:
What if we want to push something on to this new stack? It works in the same was as before – if
we push an X onto S2 above to get S3, we have
So for every operation you make a new version of the stack while reusing any existing stack
elements.
You will have to make a linked list of pointers that will point to the head of the different stack
versions.
Also each stack is also implemented as a linked list of elements SAB
Solution
#include #include #include #include #include #include #include #include #include
#include #include namespace dts { template > class PersistentSet { public:
PersistentSet(); PersistentSet(Func); bool add(const T&); bool add(T&&);
bool remove(const T& key); bool empty() const; size_t history_size() const;
class TreeIterator : public std::iterator, std::ptrdiff_t, const T*,
const T&> { using node = typename dts::PersistentSet< std::remove_cv_t,
Func>::Nodeptr; node itr; node nil; std::stack path; node
find_successor(node n) { n = n->rigth; if (n != nil) {
while (n->left != nil) { path.push(n); n = n->left;
} } else { n = path.top();
path.pop(); } return n; } public: explicit
TreeIterator(node n, node pnil) : nil(pnil) //begin { if (n == nil) itr
= nil; else { path.push(nil); while (n->left != nil)
{ path.push(n); n = n->left; } itr =
n; } } explicit TreeIterator(node pnil) // end : itr(pnil),
nil(pnil) { } TreeIterator& operator++ () { itr =
find_successor(itr); return *this; } TreeIterator operator++ (int)
{ TreeIterator tmp(*this); itr = find_successor(itr); return tmp;
} bool operator == (const TreeIterator& rhs) const { return itr ==
rhs.itr; } bool operator != (const TreeIterator& rhs) const {
return itr != rhs.itr; } const T& operator* () const { return itr-
>key; } const T& operator-> () c.
Questions has 4 parts.1st part Program to implement sorting algor.pdfapexelectronices01
The document contains a C++ program that implements several sorting algorithms including bubble sort, selection sort, insertion sort, merge sort, quick sort, and radix sort. The program defines functions for each sorting algorithm and includes a main method that tests each algorithm by sorting sample data arrays and printing the results.
The document provides information about Java Map interface. Some key points:
- A Map stores data as key-value pairs, with unique keys but potentially duplicate values. Common implementations are HashMap, TreeMap, and LinkedHashMap.
- Map methods allow adding, retrieving, removing key-value pairs. Additional methods view the map as a collection of keys, values, or entries.
- Each key-value pair is called an entry. The Map.Entry interface defines methods for entries.
- Examples demonstrate using maps, getting collection views of keys/values, and iterating through entries.
This document discusses iterators in ES6. It explains that an object is considered iterable if it has a Symbol.iterator property implementation. Arrays, Maps, and Sets have built-in iterator implementations, while objects do not by default. The document provides examples of using for-of loops to iterate over arrays, sets, and customizes an object to be iterable by implementing Symbol.iterator.
The document discusses rest parameters in ES6, which allow a function to accept an indefinite number of arguments as an array. It explains that rest parameters must be the last part of a function's parameters and are prefixed with three dots. The document compares rest parameters to the arguments object, noting rest parameters can be iterated over like arrays but arguments cannot. It also demonstrates how rest parameters can be destructured to assign array elements to distinct variables in the function body.
Default function parameters allow parameters to be initialized with default values if no value is passed when calling the function. Default parameters can be destructured and the default values can be functions that are evaluated at call time. An example shows a function that returns an employee ID with a default value if no ID is passed, and another function that returns a full name using default first and last name values if not passed.
Template strings are string literals that allow for embedded expressions and support both single and multiline strings. They are enclosed in backticks and allow expressions indicated by a dollar sign and curly braces. The document provides the syntax for template strings and examples of single line, multiline, and expressions used in template strings.
An object literal is a list of zero or more params of property names and associated values enclosed in curly braces ( { } ). An object literal is super set of json object. The values may be number, string, object, expression, function response, etc.
A class is a template / blue print is used to create an object. In JavaScript class is a special kind of function. In JavaScript there are two ways to create class one is the class declaration and the second one is class expressions.
Arrow function expressions are new functions available in ES6. Using arrow function expressions we can reduce function coding. In Arrow function expressions there is no this inside arrow function. if you call this it will take immediate parent's context.
Web workers are scripts which are runs in background without interrupting UI threads. Web workers communication happening through event messaging concept.
Declaration merging is the process where the compiler merges two or more declarations with the same name into a single definition. Declarations can create namespaces, types, or values. Interface merging joins the members of interface declarations with the same name into a single interface, requiring unique members. Namespace merging combines exported functions or classes from namespaces with the same name. Declaration merging also allows merging namespaces with classes or functions by referencing properties and values from the namespace. However, classes cannot merge with other classes or variables in TypeScript.
This Presentation describes in details about module resolution concept in typescript. Based on this presentation you will know how compiler handling the modules concept.
Material design in android L developer Previewpcnmtutorials
Material Design in Android provides guidelines for visual, motion, and interactive designs across platforms and devices. The Android L Developer Preview introduces new components and features related to material design like a new material theme, widgets for complex views, and APIs for custom shadows and animations. Key elements of material design in Android apps include color palettes, touch feedback animations, activity transitions, and use of the RecyclerView and CardView widgets which support material design out of the box.
data structure, stack, stack data structurepcnmtutorials
The document discusses stacks, which are linear data structures that follow the LIFO (last in, first out) principle. Values are inserted into and retrieved from one end, called the top of the stack. The two main operations are push, which inserts a value into the stack, and pop, which retrieves a value. An example C program demonstrates these operations on a stack implemented with an array. The stack starts empty and grows as values are pushed on until it reaches its maximum size, at which point it is full. Values can be continuously popped off until the stack is empty again.
This document discusses different types of data structures, including linear and non-linear structures. Linear structures like arrays, stacks, queues, and linked lists store data in a linear order. Stacks follow LIFO while queues follow FIFO. Non-linear structures like trees and graphs store data in a non-linear fashion. Trees have a root node, child nodes, and terminal nodes. Graphs are sets of nodes connected by edges that can form connected or non-connected graphs.
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Wondershare Filmora Crack is a user-friendly video editing software designed for both beginners and experienced users.
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software
Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar
Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Providing an OGC API Processes REST Interface for FME FlowSafe Software
This presentation will showcase an adapter for FME Flow that provides REST endpoints for FME Workspaces following the OGC API Processes specification. The implementation delivers robust, user-friendly API endpoints, including standardized methods for parameter provision. Additionally, it enhances security and user management by supporting OAuth2 authentication. Join us to discover how these advancements can elevate your enterprise integration workflows and ensure seamless, secure interactions with FME Flow.
Developing Schemas with FME and Excel - Peak of Data & AI 2025Safe Software
When working with other team members who may not know the Esri GIS platform or may not be database professionals; discussing schema development or changes can be difficult. I have been using Excel to help illustrate and discuss schema design/changes during meetings and it has proven a useful tool to help illustrate how a schema will be built. With just a few extra columns, that Excel file can be sent to FME to create new feature classes/tables. This presentation will go thru the steps needed to accomplish this task and provide some lessons learned and tips/tricks that I use to speed the process.
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Establish Visibility and Manage Risk in the Supply Chain with Anchore SBOMAnchore
Over 70% of any given software application consumes open source software (most likely not even from the original source) and only 15% of organizations feel confident in their risk management practices.
With the newly announced Anchore SBOM feature, teams can start safely consuming OSS while mitigating security and compliance risks. Learn how to import SBOMs in industry-standard formats (SPDX, CycloneDX, Syft), validate their integrity, and proactively address vulnerabilities within your software ecosystem.
Bridging the divide: A conversation on tariffs today in the book industry - T...BookNet Canada
A collaboration-focused conversation on the recently imposed US and Canadian tariffs where speakers shared insights into the current legislative landscape, ongoing advocacy efforts, and recommended next steps. This event was presented in partnership with the Book Industry Study Group.
Link to accompanying resource: https://bnctechforum.ca/sessions/bridging-the-divide-a-conversation-on-tariffs-today-in-the-book-industry/
Presented by BookNet Canada and the Book Industry Study Group on May 29, 2025 with support from the Department of Canadian Heritage.
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal
As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
PyData - Graph Theory for Multi-Agent Integrationbarqawicloud
Graph theory is a well-known concept for algorithms and can be used to orchestrate the building of multi-model pipelines. By translating tasks and dependencies into a Directed Acyclic Graph, we can orchestrate diverse AI models, including NLP, vision, and recommendation capabilities. This tutorial provides a step-by-step approach to designing graph-based AI model pipelines, focusing on clinical use cases from the field.
Domino IQ – What to Expect, First Steps and Use Casespanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
- What are Large Language Models (LLMs) and how do they relate to Domino iQ
- Essential prerequisites for deploying Domino iQ Server
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Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software
Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration
Trends Artificial Intelligence - Mary MeekerClive Dickens
Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
2. Agenda
Introduction
Object vs Map
Map Syntax
Method on Map
Live Examples
WeakMap
WeakMap syntax
Methods on WeakMap
Live Example
3. Introduction
The map object holds the data as key-value pair.
The value may be any object or primitive data values.
A map object iterates its elements in insertion order.
Using for…of loop we can get key, values as an array for each iteration.
We can give NaN as key in map.
4. Object vs Map
Object allows keys only either strings or symbols. But map can allow any
type of data like primitives, functions, objects, etc.
We can get values from object by using object[“key”] or object.key. But to
get values from map by using map.get(“key”) method.
Data in the object can be any order. But in map the order of the keys based
on insertion of the data to map.
7. Insert Data into Map
let employeeMap = new Map( );
employeeMap.set(“empId”, 46);
employeeMap.set(“name”, “Jagadeesh”);
employeeMap.set(“designation”, “SSE”);
8. Get Data from Map
Using forEach
Using for…of
Manual approach
9. Get Data from Map(cont…)
forEach
var map = new Map( );
map.forEach( function( key, val ){
console.log( key + “ “ + val );
});
10. Get Data from Map(cont…)
For…of
var map = new Map( );
for( let [ key, val ] of map ) {
console.log( key + “ “ + val );
}
11. Get Data from Map(cont…)
For…of ( cont…)
var map = new Map( );
for( let key of map.keys( ) ) {
console.log( key );
}
12. Get Data from Map(cont…)
For…of ( cont…)
var map = new Map( );
for( let val of map.values( ) ) {
console.log( val );
}
13. Get Data from Map(cont…)
For…of ( Cont…)
var map = new Map( );
for( let [ key, val ] of map.entries( ) ) {
console.log( key + “ “ + val );
}
14. Get Data from Map(cont…)
Manual
var map = new Map( );
console.log( map.get( key ) ); OR
var keys = map.keys( );
for ( let index = 0; index < keys.length; index++ ){
console.log( map.get( keys[ index ] ) );
}
15. WeakMap
The weakmap object holds the data as key-value pair.
In weakmap the keys are weakly referenced.
The keys must be objects, and the values can be any values.
We cannot get length of weakmap.
Weakmap not allowed to get keys by keys() method.