Madelyn  Frami

Madelyn Frami

1602368880

Drawing Complex Shapes in RaphaelJS

The SVG path element is used for drawing complex shapes in the SVG path specification. It is the most complex element for drawing built-in shapes.

Paths represent the geometry of the outline of an object using commands. They take a single attribute to describe what to draw.

In SVG the path element is represented by <path d=”” /> d will take the path string.

In RaphaelJS, the path string is given to the library to handle drawing.

Setup

We will use a grid of 500 by 500 pixels to cover the topic of paths. The code to create the grid is given below:

<html>
 <head>
 <title>Paths Arrow Absolute</title>
 <style>
 #container {
 clear:both;
 width:500px;
 height:500px;
 background:url(grid.jpg) repeat;
 display: block;
 margin: 0 auto;
 }
 </style>
 </head>
 <body>
 <div id=”container”></div>
 <script src=”https://cdnjs.cloudflare.com/ajax/libs/raphael/2.1.0/raphael-min.js"></script>
 <script>
 paper = Raphael(‘container’, 500, 500);
 // Write code here
 </script>
 </body>
</html>

#javascript #scalable-vector-graphics #programming #web-development #raphaeljs

What is GEEK

Buddha Community

Drawing Complex Shapes in RaphaelJS
Madelyn  Frami

Madelyn Frami

1602368880

Drawing Complex Shapes in RaphaelJS

The SVG path element is used for drawing complex shapes in the SVG path specification. It is the most complex element for drawing built-in shapes.

Paths represent the geometry of the outline of an object using commands. They take a single attribute to describe what to draw.

In SVG the path element is represented by <path d=”” /> d will take the path string.

In RaphaelJS, the path string is given to the library to handle drawing.

Setup

We will use a grid of 500 by 500 pixels to cover the topic of paths. The code to create the grid is given below:

<html>
 <head>
 <title>Paths Arrow Absolute</title>
 <style>
 #container {
 clear:both;
 width:500px;
 height:500px;
 background:url(grid.jpg) repeat;
 display: block;
 margin: 0 auto;
 }
 </style>
 </head>
 <body>
 <div id=”container”></div>
 <script src=”https://cdnjs.cloudflare.com/ajax/libs/raphael/2.1.0/raphael-min.js"></script>
 <script>
 paper = Raphael(‘container’, 500, 500);
 // Write code here
 </script>
 </body>
</html>

#javascript #scalable-vector-graphics #programming #web-development #raphaeljs

Percy  Ebert

Percy Ebert

1598085751

Xamarin.Forms New Drawing API!- Part 1 | The Xamarin Show

This week, James is joined by Javier Suárez, Developer on Xamarin.Forms, who walks us through the brand new drawing API for Xamarin.Forms. This new native API enables you to draw just about anything!

Time Codes:

00:00 Intro
04:30 Ellipse
06:30 Rectangle
08:15 Lines
10:10 Polyline
12:40 Polygon

#api #drawing #shapes

Tamale  Moses

Tamale Moses

1620930540

Cognitive Complexity Vs Cyclomatic Complexity - An Example With C#a

Background

While writing professional code, code metrics are an important tool to determine that you are writing quality code that would make it easy to test, understand and maintain in the long run, as the code passes from one developer to another. Since every developer has a different style of writing the same logic, it becomes imperative to set up some standard/guidelines or quantitative measures to tell or determine what makes a good quality code. Two of the most relevant ones, that I find very interesting to explore is,

Cyclomatic Complexity and it’s younger sibling Cognitive Complexity!

The concept of Cognitive Complexity was brought in by SonarQube. They wanted to introduce a more contextualized form of measuring the code complexity. While you can read all the artifacts available to you in public domain on both this topic, I would rather summarize it as below, to the best of my understanding of the concepts till now,

Cyclomatic Complexity

Measures, how difficult it is test the code (i.e. Testability)._ Alternatively, this measure is a hint of how many distinct test cases you should write to have 100% code coverage. _

#c#a #cognitive complexity #cyclomatic complexity

Lulu  Hegmann

Lulu Hegmann

1595674860

Drawing UI with Xamarin.Forms Shapes and Paths

Xamarin.Forms 4.7 introduces drawing controls for Shapes and Paths. These are powerful new cross-platform controls that use the familiar control syntax from UWP and WPF. As well as use the native graphics libraries on each target platform. SkiaSharp and NGraphics have long been the “Go-To” solutions for rendering drawn UI to support advanced designs. They also continue to be excellent choices based on your individual needs. Now Shapes and Paths bring the power of drawing closer to you by shipping “in-the-box”.

Ellipse, Rectangle, Polygon, and Path

Shapes

There are many built-in controls available in the new API including ellipse, line, polygon, polyline, and rectangle. Each of these shapes support common styling properties. Such as aspect, fill, and a variety of stroke options. Here are two examples where these shapes help quickly implement a design.

Enable the Flag – Shapes are an experimental preview. First add the flag to your App.xaml.cs at the top of the constructor: Device.SetFlags(new string[]{ "Shapes_Experimental" });.

#xamarin #ngraphics #paths #shapes

Noah  Rowe

Noah Rowe

1593442500

Big O Notation and Time/Space Complexity

Big O Notation and Time/Space Complexity

Big O notation is a commonly used metric used in computer science to classify algorithms based on their time and space complexity. The time and space here is not based on the actual number of operations performed or amount of memory used per se, but rather how the algorithm would scale with an increase or decrease in the amount of data in the input. The notation will represent how an algorithm will run in the worst-case scenario- what is the maximum time or space an algorithm could use? The complexity is written as O(x) where x is the growth rate of the algorithm in regards to n, which is the amount of data input. Throughout the rest of this blog, input will be referred to as n.

O(1)

O(1) is known as constant complexity. What this implies is that the amount of time or memory does not scale with n at all. For time complexity, this means that n is not iterated on or recursed- generally a value will be selected and returned or a value with be operated on and returned.

Function that returns an index of an array doubled in O(1) time complexity.

For space, no data structures can be created that are a multiples of the size of n. Variables can be declared, but the number must not change with n.

Function that logs every element in an array with O(1) space.

O(logn)

O(logn) is known as logarithmic complexity. The logarithm in O(logn) has a base of 2. The best way to wrap your head around this is to remember the concept of halving: every time n increases by an amount k, the time or space increases by k/2. There are several common algorithms that are O(logn) a vast majority of the time to keep an eye out for: binary search, searching for a term in a binary search tree, and adding items to a heap.

#algorithms #computer-science #big-o-notation #time-complexity #space-complexity #algorithms