C Programming for Embedded Systems
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Chapter 5 Names, Bindings, and Scopes
Chapter 5 Names, Bindings, and Scopes 5.1 Introduction 198 5.2 Names 199 5.3 Variables 200 5.4 The Concept of Binding 203 5.5 Scope 211 5.6 Scope and Lifetime 222 5.7 Referencing Environments 223 5.8 Named Constants 224 Summary • Review Questions • Problem Set • Programming Exercises 227 CMPS401 Class Notes (Chap05) Page 1 / 20 Dr. Kuo-pao Yang Chapter 5 Names, Bindings, and Scopes 5.1 Introduction 198 Imperative languages are abstractions of von Neumann architecture – Memory: stores both instructions and data – Processor: provides operations for modifying the contents of memory Variables are characterized by a collection of properties or attributes – The most important of which is type, a fundamental concept in programming languages – To design a type, must consider scope, lifetime, type checking, initialization, and type compatibility 5.2 Names 199 5.2.1 Design issues The following are the primary design issues for names: – Maximum length? – Are names case sensitive? – Are special words reserved words or keywords? 5.2.2 Name Forms A name is a string of characters used to identify some entity in a program. Length – If too short, they cannot be connotative – Language examples: . FORTRAN I: maximum 6 . COBOL: maximum 30 . C99: no limit but only the first 63 are significant; also, external names are limited to a maximum of 31 . C# and Java: no limit, and all characters are significant . C++: no limit, but implementers often impose a length limitation because they do not want the symbol table in which identifiers are stored during compilation to be too large and also to simplify the maintenance of that table. -
By Kumari Priyadarshani 22-04-2020 BBM 3Rd Year Variables in C a Variable Is a Name of the Memory Location. It Is Used to Store Data
By Kumari priyadarshani 22-04-2020 BBM 3rd year Variables in C A variable is a name of the memory location. It is used to store data. Its value can be changed, and it can be reused many times. It is a way to represent memory location through symbol so that it can be easily identified. Let's see the syntax to declare a variable: type variable_list; The example of declaring the variable is given below: int a; float b; char c; Here, a, b, c are variables. The int, float, char are the data types. We can also provide values while declaring the variables as given below: int a=10,b=20;//declaring 2 variable of integer type float f=20.8; char c='A'; Rules for defining variables A variable can have alphabets, digits, and underscore. A variable name can start with the alphabet, and underscore only. It can't start with a digit. No whitespace is allowed within the variable name. A variable name must not be any reserved word or keyword, e.g. int, float, etc. Valid variable names: int a; int _ab; int a30; Invalid variable names: int 2; int a b; int long; Types of Variables in C There are many types of variables in c: local variable global variable static variable automatic variable external variable 1)Local Variable A variable that is declared inside the function or block is called a local variable. It must be declared at the start of the block. void function1(){ int x=10;//local variable } You must have to initialize the local variable before it is used. -
7. Functions in PHP – II
7. Functions in PHP – II Scope of variables in Function Scope of variable is the part of PHP script where the variable can be accessed or used. PHP supports three different scopes for a variable. These scopes are 1. Local 2. Global 3. Static A variable declared within the function has local scope. That means this variable is only used within the function body. This variable is not used outside the function. To demonstrate the concept, let us take an example. // local variable scope function localscope() { $var = 5; //local scope echo '<br> The value of $var inside the function is: '. $var; } localscope(); // call the function // using $var outside the function will generate an error echo '<br> The value of $var inside the function is: '. $var; The output will be: The value of $var inside the function is: 5 ( ! ) Notice: Undefined variable: var in H:\wamp\www\PathshalaWAD\function\function localscope demo.php on line 12 Call Stack # Time Memory Function Location 1 0.0003 240416 {main}( ) ..\function localscope demo.php:0 The value of $var inside the function is: Page 1 of 7 If a variable is defined outside of the function, then the variable scope is global. By default, a global scope variable is only available to code that runs at global level. That means, it is not available inside a function. Following example demonstrate it. <?php //variable scope is global $globalscope = 20; // local variable scope function localscope() { echo '<br> The value of global scope variable is :'.$globalscope; } localscope(); // call the function // using $var outside the function will generate an error echo '<br> The value of $globalscope outside the function is: '. -
Object Lifetimes In
Object Lifetimes in Tcl - Uses, Misuses, Limitations By Phil Brooks - Mentor – A Siemens Corporation Presented at the 25 nd annual Tcl/Tk conference, Houston Texas, November 2018 Mentor – A Siemens Corporation 8005 Boeckman Road Wilsonville, Oregon 97070 [email protected] Abstract: The management of the lifetime of an object in Tcl presents a number of unique challenges. In the C++ world, the technique of Resource Allocation is Initialization (RAII) is commonly used to control the lifetime of certain objects. With this technique, an object on the call stack is used to insure proper cleanup of a resource. When the object goes out of scope, the resource is released. It presents a low overhead mechanism for a garbage collection like facility without the complication of more complete garbage collection systems. Tcl doesn't have a similar direct capability, and the need for it has resulted in two techniques that are commonly used to substitute for the capability. The techniques are: 1) Use of the trace command to catch unset of a variable. 2) Mis-use of the lifetime of a Tcl_Obj created with Tcl_NewObj. Each of these techniques has drawbacks. The primary issue with the trace technique is that it requires the user of an object to arrange for explicit destruction of the object. This makes the interface more error prone. The mis-use of lifetime of a Tcl_Obj is subject to premature cleanup of the resource if the object is shimmered to a string for any reason. This paper surveys these lifetime management patterns and demonstrates the use of a new user level technique for lifetime management. -
An Empirical Study Into COBOL Type Inferencing*
Science of Computer Programming ELSEVIERI Science of Computer Programming 40 (2001) 189-211 www.elsevier.nl/locate/scico An empirical study into COBOL type inferencing* Arie van Deursen 1, Leon Moonen 1 * CWL P. 0. Box 94079, 1090 GB Amsterdam, Netherlands Accepted 2 February 2001 Abstract In a typical COBOL program, the data division consists of 50% of the lines of code. Automatic type inference can help to understand the large collections of variable declarations contained therein, showing how variables are related based on their actual usage. The most problematic aspect of type inference is pollution, the phenomenon that types become too large, and contain variables that intuitively should not belong to the same type. The aim of the paper is to provide empirical evidence for the hypothesis that the use of subtyping is an effective way for dealing with pollution. The main results include a tool set to carry out type inference experiments, a suite of metrics characterizing type inference outcomes, and the experimental observation that only one instance of pollution occurs in the case study conducted. @ 2001 Elsevier Science B.V. All rights reserved. Keywords: Software maintenance; Static program analysis; Variable usage; Case study 1. Introduction In this paper, we will be concerned with the variables occurring in a COBOL pro gram. The two main parts of a COBOL program are the data division, containing declarations for all variables used, and the procedure division, which contains the state ments performing the program's functionality. Since it is in the procedure division that the actual computations are made, one would expect this division to be larger than the data division. -
Declare Function Inside a Function Python
Declare Function Inside A Function Python Transisthmian and praetorian Wye never ensphere helter-skelter when Shawn lord his nightshade. Larboard Hal rumors her dizziesacapnia very so encouragingly actinally. that Colbert aurifies very inferentially. Kenyan Tad reframes her botts so irefully that Etienne Closures prove to it efficient way something we took few functions in our code. Hope you have any mutable object. Calling Functions from Other Files Problem Solving with Python. What embassy your website look like? Then you can declare any result of a million developers have been loaded? The coach who asked this gas has marked it as solved. We focus group functions together can a Python module see modules and it this way lead our. What are Lambda Functions and How to Use Them? It working so art the result variable is only accessible inside the function in. Variables inside python node, learn more detail, regardless of instances of a program demonstrates it. The python function inside another, which start here, and beginners start out. Get code examples like python define a function within a function instantly right anytime your google search results with the Grepper Chrome. The function by replacing it contains one function start here are discussed: how do not provide extremely cost efficient as their name? How to the page helpful for case it requires you can declare python data science. Each item from the python function has arbitrary length arguments must first, but are only the output is simply the function to. We declare their perfomance varies with the gathered arguments using a wrapped the arguments does the computed fahrenheit to declare function inside a function python? List of python can declare a function inside a million other functions we declare function inside a function python. -
Also Includes Slides and Contents From
The Compilation Toolchain Cross-Compilation for Embedded Systems Prof. Andrea Marongiu ([email protected]) Toolchain The toolchain is a set of development tools used in association with source code or binaries generated from the source code • Enables development in a programming language (e.g., C/C++) • It is used for a lot of operations such as a) Compilation b) Preparing Libraries Most common toolchain is the c) Reading a binary file (or part of it) GNU toolchain which is part of d) Debugging the GNU project • Normally it contains a) Compiler : Generate object files from source code files b) Linker: Link object files together to build a binary file c) Library Archiver: To group a set of object files into a library file d) Debugger: To debug the binary file while running e) And other tools The GNU Toolchain GNU (GNU’s Not Unix) The GNU toolchain has played a vital role in the development of the Linux kernel, BSD, and software for embedded systems. The GNU project produced a set of programming tools. Parts of the toolchain we will use are: -gcc: (GNU Compiler Collection): suite of compilers for many programming languages -binutils: Suite of tools including linker (ld), assembler (gas) -gdb: Code debugging tool -libc: Subset of standard C library (assuming a C compiler). -bash: free Unix shell (Bourne-again shell). Default shell on GNU/Linux systems and Mac OSX. Also ported to Microsoft Windows. -make: automation tool for compilation and build Program development tools The process of converting source code to an executable binary image requires several steps, each with its own tool. -
Computer Architecture and Assembly Language
Computer Architecture and Assembly Language Gabriel Laskar EPITA 2015 License I Copyright c 2004-2005, ACU, Benoit Perrot I Copyright c 2004-2008, Alexandre Becoulet I Copyright c 2009-2013, Nicolas Pouillon I Copyright c 2014, Joël Porquet I Copyright c 2015, Gabriel Laskar Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with the Invariant Sections being just ‘‘Copying this document’’, no Front-Cover Texts, and no Back-Cover Texts. Introduction Part I Introduction Gabriel Laskar (EPITA) CAAL 2015 3 / 378 Introduction Problem definition 1: Introduction Problem definition Outline Gabriel Laskar (EPITA) CAAL 2015 4 / 378 Introduction Problem definition What are we trying to learn? Computer Architecture What is in the hardware? I A bit of history of computers, current machines I Concepts and conventions: processing, memory, communication, optimization How does a machine run code? I Program execution model I Memory mapping, OS support Gabriel Laskar (EPITA) CAAL 2015 5 / 378 Introduction Problem definition What are we trying to learn? Assembly Language How to “talk” with the machine directly? I Mechanisms involved I Assembly language structure and usage I Low-level assembly language features I C inline assembly Gabriel Laskar (EPITA) CAAL 2015 6 / 378 I Programmers I Wise managers Introduction Problem definition Who do I talk to? I System gurus I Low-level enthusiasts Gabriel Laskar (EPITA) CAAL -
Compiler Construction
Compiler Construction Chapter 11 Compiler Construction Compiler Construction 1 A New Compiler • Perhaps a new source language • Perhaps a new target for an existing compiler • Perhaps both Compiler Construction Compiler Construction 2 Source Language • Larger, more complex languages generally require larger, more complex compilers • Is the source language expected to evolve? – E.g., Java 1.0 ! Java 1.1 ! . – A brand new language may undergo considerable change early on – A small working prototype may be in order – Compiler writers must anticipate some amount of change and their design must therefore be flexible – Lexer and parser generators (like Lex and Yacc) are therefore better than hand- coding the lexer and parser when change is inevitable Compiler Construction Compiler Construction 3 Target Language • The nature of the target language and run-time environment influence compiler construction considerably • A new processor and/or its assembler may be buggy Buggy targets make it difficult to debug compilers for that target! • A successful source language will persist over several target generations – E.g., 386 ! 486 ! Pentium ! . – Thus the design of the IR is important – Modularization of machine-specific details is also important Compiler Construction Compiler Construction 4 Compiler Performance Issues • Compiler speed • Generated code quality • Error diagnostics • Portability • Maintainability Compiler Construction Compiler Construction 5 Compiler Speed • Reduce the number of modules • Reduce the number of passes Perhaps generate machine -
XL C/C++: Language Reference About This Document
IBM XL C/C++ for Linux, V16.1.1 IBM Language Reference Version 16.1.1 SC27-8045-01 IBM XL C/C++ for Linux, V16.1.1 IBM Language Reference Version 16.1.1 SC27-8045-01 Note Before using this information and the product it supports, read the information in “Notices” on page 63. First edition This edition applies to IBM XL C/C++ for Linux, V16.1.1 (Program 5765-J13, 5725-C73) and to all subsequent releases and modifications until otherwise indicated in new editions. Make sure you are using the correct edition for the level of the product. © Copyright IBM Corporation 1998, 2018. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents About this document ......... v Chapter 4. IBM extension features ... 11 Who should read this document........ v IBM extension features for both C and C++.... 11 How to use this document.......... v General IBM extensions ......... 11 How this document is organized ....... v Extensions for GNU C compatibility ..... 15 Conventions .............. v Extensions for vector processing support ... 47 Related information ........... viii IBM extension features for C only ....... 56 Available help information ........ ix Extensions for GNU C compatibility ..... 56 Standards and specifications ........ x Extensions for vector processing support ... 58 Technical support ............ xi IBM extension features for C++ only ...... 59 How to send your comments ........ xi Extensions for C99 compatibility ...... 59 Extensions for C11 compatibility ...... 59 Chapter 1. Standards and specifications 1 Extensions for GNU C++ compatibility .... 60 Chapter 2. Language levels and Notices .............. 63 language extensions ......... 3 Trademarks ............. -
Chapter 5. Using Tcl/Tk
The Almagest 5-1 Chapter 5. Using Tcl/Tk Authors: Edward A. Lee Other Contributors: Brian L. Evans Wei-Jen Huang Alan Kamas Kennard White 5.1 Introduction Tcl is an interpreted “tool command language” designed by John Ousterhout while at UC Berkeley. Tk is an associated X window toolkit. Both have been integrated into Ptolemy. Parts of the graphical user interface and all of the textual interpreter ptcl are designed using them. Several of the stars in the standard star library also use Tcl/Tk. This chapter explains how to use the most basic of these stars, TclScript, as well how to design such stars from scratch. It is possible to define very sophisticated, totally customized user interfaces using this mechanism. In this chapter, we assume the reader is familiar with the Tcl language. Documentation is provided along with the Ptolemy distribution in the $PTOLEMY/tcltk/itcl/man direc- tory in Unix man page format. HTML format documentation is available from the other.src tar file in $PTOLEMY/src/tcltk. Up-to-date documentation and software releases are available by on the SunScript web page at http://www.sunscript.com. There is also a newsgroup called comp.lang.tcl. This news group accumulates a list of frequently asked questions about Tcl which is available http://www.teraform.com/%7Elvirden/tcl-faq/. The principal use of Tcl/Tk in Ptolemy is to customize the user interface. Stars can be created that interact with the user in specialized ways, by creating customized displays or by soliciting graphical inputs. 5.2 Writing Tcl/Tk scripts for the TclScript star Several of the domains in Ptolemy have a star called TclScript. -
Coding 101: Learn Ruby in 15 Minutes Visit
Coding 101: Learn Ruby in 15 minutes Visit www.makers.tech 1 Contents 2 Contents 10 Challenge 3 3 About us 11 Defining Methods 4 Installing Ruby 12 Challenge 4 4 Checking you’ve got Ruby 12 Challenge 5 5 Method calls 12 Challenge 6 5 Variables 13 Arrays 6 Truth and Falsehood 14 Hashes 7 Strings, objects and Methods 14 Challenge 7 8 Challenge 1 15 Iterations 8 Challenge 2 16 Challenge 8 9 Method Chaining 16 Challenge 9 10 Conditionals 18 Extra Challenges 2 About Us At Makers, we are creating a new generation of tech talent who are skilled and ready for the changing world of work. We are inspired by the idea of discovering and unlocking potential in people for the benefit of 21st century business and society. We believe in alternative ways to learn how to code, how to be ready for work and how to be of value to an organisation. At our core, Makers combines tech education with employment possibilities that transform lives. Our intensive four-month program (which includes a month-long PreCourse) sets you up to become a high quality professional software engineer. Makers is the only coding bootcamp with 5 years experience training software developers remotely. Your virtual experience will be exactly the same as Makers on-site, just delivered differently. If you’d like to learn more, check out www.makers.tech. 3 Installing Checking Ruby you’ve got Ruby You’ll be happy to know that Ruby comes preinstalled on all Apple computers. However we can’t simply use the system defaults - just in case we mess something up! Open the terminal on your computer and then type in If you’ve got your laptop set up already you can skip this section.