PIPS High-Level Software Interface Pipsmake Configuration

Total Page:16

File Type:pdf, Size:1020Kb

PIPS High-Level Software Interface Pipsmake Configuration PIPS High-Level Software Interface Pipsmake Configuration R´emiTriolet, Fran¸coisIrigoin and many other contributors MINES ParisTech Math´ematiqueset Syst`emes Centre de Recherche en Informatique 77305 Fontainebleau Cedex France Id: pipsmake-rc.tex 23481 2018-08-22 19:35:27Z ancourt You can get a printable version of this document on http://www.cri.ensmp.fr/pips/pipsmake-rc.htdoc/ pipsmake-rc.pdf and a HTML version on http://www.cri.ensmp.fr/pips/pipsmake-rc.htdoc. Chapter 1 Introduction This paper describes high-level objects and functions that are potentially user- visible in a PIPS 1 [33] interactive environment. It defines the internal software interface between a user interface and program analyses and transformations. This is clearly not a user guide but can be used as a reference guide, the best one before source code because PIPS user interfaces are very closely mapped on this document: some of their features are automatically derived from it. Objects can be viewed and functions activated by one of PIPS existing user interfaces: tpips2, the tty style interface which is currently recommended, pips3 [11], the old batch interface, improved by many shell scripts4, wpips and epips, the X-Window System interfaces. The epips interface is an extension of wpips which uses Emacs to display more information in a more convenient way. Unfortunately, right now these window-based interfaces are no longer working and have been replaced by gpips. It is also possible to use PIPS through a Python API, pyps. From a theoretical point of view, the object types and functions available in PIPS define an heterogeneous algebra with constructors (e.g. parser), extractors (e.g. prettyprinter) and operators (e.g. loop unrolling). Very few combinations of functions make sense, but many functions and object types are available. This abundance is confusing for casual and experiences users as well, and it was deemed necessary to assist them by providing default computation rules and automatic consistency management similar to make. The rule interpretor is called pipsmake6 and described in [10]. Its key concepts are the phase, which correspond to a PIPS function made user-visible, for instance, a parser, the resources, which correspond to objects used or defined by the phases, for instance, a source file or an AST (parsed code), and the virtual rules, which define the set of input resources used by a phase and the set of output resources defined by the phase. Since PIPS is an interprocedural tool, some real inpu resources are not known until execution. Some variables such as CALLERS or CALLEES can be used in virtual rules. They are expanded at execution to obtain an effective rule with the precise resources needed. 1http://www.cri.ensmp.fr/pips 2http://www.cri.ensmp.fr/pips/line-interface.html 3http://www.cri.ensmp.fr/pips/batch-interface.html 4Manual pages are available for Init, Select, Perform, Display, and Delete, and pips5. 6http://www.cri.ensmp.fr/pips/pipsmake.html 1 For debugging purposes and for advanced users, the precise choice and tuning of an algorithm can be made using properties. Default properties are installed with PIPS but they can be redefined, partly or entirely, by a properties.rc file located in the current directory. Properties can also be redefined from the user interfaces, for example with the command setproperty when the tpips interface is used. As far as their static structures are concerned, most object types are de- scribed in more details in PIPS Internal Representation of Fortran and C code7. A dynamic view is given here. In which order should functions be applied? Which object do they produce and vice-versa which function does produce such and such objects? How does PIPS cope with bottom-up and top-down interpro- cedurality? Resources produced by several rules and their associated rule must be given alias names when they should be explicitly computed or activated by an inter- active interface. This is otherwise not relevant. The alias names are used to FI: I do not generate automatically header files and/or test files used by PIPS interfaces. understand. No more than one resource should be produced per line of rule because different files are automatically extracted from this one8. Another caveat is that all resources whose names are suffixed with _file are considered printable or displayable, and the others are considered binary data, even though they may be ASCII strings. This LATEX file is used by several procedures to derive some pieces of C code and ASCII files. The useful information is located in the PipsMake areas, a very simple literate programming environment... For instance alias information is used to generate automatically menus for window-based interfaces such as wpips or gpips. Object (a.k.a resource) types and functions are renamed using the alias declaration. The name space of aliases is global. All aliases must have different names. Function declarations are used to build a mapping table between function names and pointer to C functions, phases.h. Object suffixes are used to derive a header file, resources.h, with all resource names. Parts of this file are also extracted to generate on-line information for wpips and automatic completion for tpips. The behavior of PIPS can be slightly tuned by using properties and some environment variables. Most properties are linked to a particular phase, for instance to prettyprint, but some are linked to PIPS infrastructure and are presented in Chapter 2. 1.1 Informal Pipsmake Syntax To understand and to be able to write new rules for pipsmake, a few things need to be known. 1.1.1 Example The rule: proper_references > MODULE.proper_references 7http://www.cri.ensmp.fr/pips/newgen/ri.htdoc 8See the local Makefile: pipsmake-rc, and alias file: wpips-rc. 2 < PROGRAM.entities < MODULE.code < CALLEES.summary_effects means that the method proper_references is used to generate the proper_references resource of a given MODULE. But to generate this resource, the method needs access to the resource holding the symbole table, entities, of the PROGRAM cur- rently analyzed, the code resource (the instructions) of the given MODULE and the summary_effects 6.2.4 resource (the side effects on the memory) of the functions and procedures called by the given MODULE, the CALLEES. Properties are also declared in this file. For instance ABORT_ON_USER_ERROR FALSE declares a property to stop interpreting user commands when an error is made and sets its default value to false, which makes sense most of the time for interactive uses of PIPS. But for non-regression tests, it may be better to turn on this property. 1.1.2 Pipsmake variables The following variables are defined to handle interprocedurality: PROGRAM: the whole application currently analyzed; MODULE: the current MODULE (a procedure or function); ALL: all the MODULEs of the current PROGRAM, functions and compilation units; ALLFUNC: all the MODULEs of the current PROGRAM that are functions; CALLEES: all the MODULEs called in the given MODULE; CALLERS: all the MODULEs that call the given MODULE. These variables are used in the rule definitions and instantiated before pipsmake infers which resources are pre-requisites for a rule. The environment variable PIPS_IGNORE_FUNCTION_RX is taken as a regular expression to filter out unwanted functions, such as static functions, inlined or not, which arise in some standard header files from time to time. For instance, with gcc 4.8, you should define export PIPS_IGNORE_FUNCTION_RX='!__bswap_' 1.2 Properties and Environment Variables This paper also defines and describes global variables used to modify or fine tune PIPS behavior. Since global variables are useful for some purposes, but always dangerous, PIPS programmers are required to avoid them or to declare them explicitly as properties. Properties have an ASCII name and can have boolean, integer or string values. Casual users should not use them. Some properties are modified for them by the user interface and/or the high-level functions. Some property combinations 3 may be meaningless. More experienced users can set their values, using their names and a user interface. Experienced users can also modify properties by inserting a file called properties.rc in their local directory. Of course, they cannot declare new properties, since they would not be recognized by the PIPS system. The local property file is read after the default property file, $PIPS_ROOT/etc/properties.rc. Some user-specified property values may be ignored because they are modified by a PIPS function before it had a chance to have any effect. Unfortunately, there is no explicit indication of usefulness for the properties in this report. The default property file can be used to generate a custom version of properties.rc. It is derived automatically from this documentation, Documentation/pipsmake-rc.tex. PIPS behavior can also be altered by Shell environment variables. Their generic names is XXXX_DEBUG_LEVEL, where XXXX is a library or a phase or an interface name (of course, there are exceptions). Theoretically these environ- ment variables are also declared as properties, but this is generally forgotten by programmers. A debug level of 0 is equivalent to no tracing. The amount of tracing increases with the debug level. The maximum useful value is 9. Another Shell environment variable, NEWGEN_MAX_TABULATED_ELEMENTS, is useful to analyze large programs. Its default value is 12,000 but it is not un- common to have to set it up to 200,000. Properties and environement variables are listed below on a source library basis. Properties used in more than one library or used by PIPS infrastructure are presented first. Section 2.3 contains information about properties related to infrastructure, external and user interface libraries. Properties for analyses are grouped in Chapter 6.
Recommended publications
  • Computations in Algebraic Geometry with Macaulay 2
    Computations in algebraic geometry with Macaulay 2 Editors: D. Eisenbud, D. Grayson, M. Stillman, and B. Sturmfels Preface Systems of polynomial equations arise throughout mathematics, science, and engineering. Algebraic geometry provides powerful theoretical techniques for studying the qualitative and quantitative features of their solution sets. Re- cently developed algorithms have made theoretical aspects of the subject accessible to a broad range of mathematicians and scientists. The algorith- mic approach to the subject has two principal aims: developing new tools for research within mathematics, and providing new tools for modeling and solv- ing problems that arise in the sciences and engineering. A healthy synergy emerges, as new theorems yield new algorithms and emerging applications lead to new theoretical questions. This book presents algorithmic tools for algebraic geometry and experi- mental applications of them. It also introduces a software system in which the tools have been implemented and with which the experiments can be carried out. Macaulay 2 is a computer algebra system devoted to supporting research in algebraic geometry, commutative algebra, and their applications. The reader of this book will encounter Macaulay 2 in the context of concrete applications and practical computations in algebraic geometry. The expositions of the algorithmic tools presented here are designed to serve as a useful guide for those wishing to bring such tools to bear on their own problems. A wide range of mathematical scientists should find these expositions valuable. This includes both the users of other programs similar to Macaulay 2 (for example, Singular and CoCoA) and those who are not interested in explicit machine computations at all.
    [Show full text]
  • The Pretzel User Manual
    The PretzelBook second edition Felix G¨artner June 11, 1998 2 Contents 1 Introduction 5 1.1 Do Prettyprinting the Pretzel Way . 5 1.2 History . 6 1.3 Acknowledgements . 6 1.4 Changes to second Edition . 6 2 Using Pretzel 7 2.1 Getting Started . 7 2.1.1 A first Example . 7 2.1.2 Running Pretzel . 9 2.1.3 Using Pretzel Output . 9 2.2 Carrying On . 10 2.2.1 The Two Input Files . 10 2.2.2 Formatted Tokens . 10 2.2.3 Regular Expressions . 10 2.2.4 Formatted Grammar . 11 2.2.5 Prettyprinting with Format Instructions . 12 2.2.6 Formatting Instructions . 13 2.3 Writing Prettyprinting Grammars . 16 2.3.1 Modifying an existing grammar . 17 2.3.2 Writing a new Grammar from Scratch . 17 2.3.3 Context Free versus Context Sensitive . 18 2.3.4 Available Grammars . 19 2.3.5 Debugging Prettyprinting Grammars . 19 2.3.6 Experiences . 21 3 Pretzel Hacking 23 3.1 Adding C Code to the Rules . 23 3.1.1 Example for Tokens . 23 3.1.2 Example for Grammars . 24 3.1.3 Summary . 25 3.1.4 Tips and Tricks . 26 3.2 The Pretzel Interface . 26 3.2.1 The Prettyprinting Scanner . 27 3.2.2 The Prettyprinting Parser . 28 3.2.3 Example . 29 3.3 Building a Pretzel prettyprinter by Hand . 30 3.4 Obtaining a Pretzel Prettyprinting Module . 30 3.4.1 The Prettyprinting Scanner . 30 3.4.2 The Prettyprinting Parser . 31 3.5 Multiple Pretzel Modules in the same Program .
    [Show full text]
  • GOOL: a Generic Object-Oriented Language (Extended Version)
    GOOL: A Generic Object-Oriented Language (extended version) Jacques Carette Brooks MacLachlan W. Spencer Smith Department of Computing and Department of Computing and Department of Computing and Software Software Software McMaster University McMaster University McMaster University Hamilton, Ontario, Canada Hamilton, Ontario, Canada Hamilton, Ontario, Canada [email protected] [email protected] [email protected] Abstract it to the others. Of course, this can be made to work — one We present GOOL, a Generic Object-Oriented Language. It could engineer a multi-language compiler (such as gcc) to demonstrates that a language, with the right abstractions, de-compile its Intermediate Representation (IR) into most can capture the essence of object-oriented programs. We of its input languages. The end-results would however be show how GOOL programs can be used to generate human- wildly unidiomatic; roughly the equivalent of a novice in a readable, documented and idiomatic source code in multi- new (spoken) language “translating” word-by-word. ple languages. Moreover, in GOOL, it is possible to express What if, instead, there was a single meta-language de- common programming idioms and patterns, from simple signed to embody the common semantic concepts of a num- library-level functions, to simple tasks (command-line argu- ber of OO languages, encoded so that the necessary informa- ments, list processing, printing), to more complex patterns, tion for translation is present? This source language could such as methods with a mixture of input, output and in-out be agnostic about what eventual target language will be used parameters, and finally Design Patterns (such as Observer, – and free of the idiosyncratic details of any given language.
    [Show full text]
  • REDUCE User's Manual
    REDUCE User’s Manual Version 3.8 Anthony C. Hearn Santa Monica, CA, USA Email: [email protected] February 2004 Copyright c 2004 Anthony C. Hearn. All rights reserved. Registered system holders may reproduce all or any part of this publication for internal purposes, provided that the source of the material is clearly acknowledged, and the copyright notice is retained. Contents Abstract 11 1 Introductory Information 15 2 Structure of Programs 19 2.1 The REDUCE Standard Character Set............... 19 2.2 Numbers............................... 19 2.3 Identifiers.............................. 21 2.4 Variables.............................. 22 2.5 Strings................................ 23 2.6 Comments.............................. 23 2.7 Operators.............................. 24 3 Expressions 27 3.1 Scalar Expressions......................... 27 3.2 Integer Expressions......................... 28 3.3 Boolean Expressions........................ 29 3.4 Equations.............................. 30 3.5 Proper Statements as Expressions................. 31 4 Lists 33 4.1 Operations on Lists......................... 33 4.1.1 LIST............................ 34 4.1.2 FIRST............................ 34 1 2 CONTENTS 4.1.3 SECOND.......................... 34 4.1.4 THIRD........................... 34 4.1.5 REST............................ 34 4.1.6 : (Cons) Operator...................... 34 4.1.7 APPEND.......................... 34 4.1.8 REVERSE......................... 35 4.1.9 List Arguments of Other Operators............ 35 4.1.10 Caveats and Examples................... 35 5 Statements 37 5.1 Assignment Statements....................... 38 5.1.1 Set Statement........................ 38 5.2 Group Statements.......................... 39 5.3 Conditional Statements....................... 39 5.4 FOR Statements........................... 40 5.5 WHILE . DO........................... 42 5.6 REPEAT . UNTIL......................... 43 5.7 Compound Statements....................... 43 5.7.1 Compound Statements with GO TO............ 45 5.7.2 Labels and GO TO Statements..............
    [Show full text]
  • Sif: Tutorial and Reference Manual
    Sif Mjølner BETA Source Browser and Editor Tutorial and Reference Manual Mjølner Informatics Report MIA 90-11(2.1) August 1996 Copyright © 1990-96 Mjølner Informatics ApS. All rights reserved. No part of this document may be copied or distributed without prior written permission from Mjølner Informatics Contents 1. Introduction .........................................................................................................1 2. Basic User Interface Principles ...........................................................................5 2.1. The Mouse...............................................................................................5 2.2. Selection..................................................................................................5 3. Source Browser Tutorial .....................................................................................7 3.1. How to Get Started..................................................................................7 3.2. Browsing .................................................................................................8 3.3. Browsing ...............................................................................................10 3.4. Browsing at Code Level........................................................................11 3.4.1. Abstract Presentation.................................................................11 3.4.2. Semantic Links ..........................................................................12 3.4.3. Comments..................................................................................13
    [Show full text]
  • Deriving Pretty-Printing for Haskell
    Deriving Pretty-printing for Haskell Yi Zhen Master of Science School of Informatics University of Edinburgh 2016 Abstract Print information of data type values can be used to help programmers understand the nature and the way the structure of instances of a certain data type is generated. This work aims to provide an interface wrapper which includes a pre-designed indentation format for printing arbitrary data types, called a pretty printer. It can be seen as an extension of the Show library which converts the value of the data type to a printable string in Haskell. This report describes the design, implementation and evaluation of such a pretty-printing library. The overall result is a pretty printer intended to be available, easy-to-use, and interesting for programmers to print the data type value in a visually appealing way. i Acknowledgements Many thanks to my supervisor Prof. Philip Wadler for the guidance and numerous explanations; and to my parents, for food and a place to live. ii Declaration I declare that this thesis was composed by myself, that the work contained herein is my own except where explicitly stated otherwise in the text, and that this work has not been submitted for any other degree or professional qualification except as specified. (Yi Zhen) iii Table of Contents 1 Introduction 1 1.1 Introduction and Purpose . .1 1.2 How to Use Pretty-printing in Haskell . .2 1.3 Related Work . .5 2 Background 7 2.1 Haskell . .8 2.1.1 Introduction . .8 2.1.2 Data Type in Haskell .
    [Show full text]
  • Sle18-Indentation-Rules
    Delft University of Technology Declarative specification of indentation rules A tooling perspective on parsing and pretty-printing layout-sensitive languages de Souza Amorim, Luís Eduardo; Erdweg, Sebastian; Steindorfer, Michael J.; Visser, Eelco DOI 10.1145/3276604.3276607 Publication date 2018 Document Version Accepted author manuscript Published in SLE 2018 - Proceedings of the 11th ACM SIGPLAN International Conference on Soft ware Language Engineering Citation (APA) de Souza Amorim, L. E., Erdweg, S., Steindorfer, M. J., & Visser, E. (2018). Declarative specification of indentation rules: A tooling perspective on parsing and pretty-printing layout-sensitive languages. In D. Pearce , S. Friedrich, & T. Mayerhofer (Eds.), SLE 2018 - Proceedings of the 11th ACM SIGPLAN International Conference on Soft ware Language Engineering (pp. 3-15). Association for Computing Machinery (ACM). https://doi.org/10.1145/3276604.3276607 Important note To cite this publication, please use the final published version (if applicable). Please check the document version above. Copyright Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons. Takedown policy Please contact us and provide details if you believe this document breaches copyrights. We will remove access to the work immediately and investigate your claim. This work is downloaded from Delft University of Technology. For technical reasons the number of authors shown on this cover page is limited to a maximum of 10. Declarative Specification of Indentation Rules A Tooling Perspective on Parsing and Pretty-Printing Layout-Sensitive Languages Luís Eduardo de Souza Amorim Michael J.
    [Show full text]
  • May Be Protected (Title 17 U.S.C.)
    UCI LISP MANUAL by Robert J. Bobrow Richard R= Burton Jeffrey lU Jacobs ' Daryle Lewis Notice: This Material may be protected by Copyright Law (Title 17 U.S.C.) Department of Information and Computer Science University of California, Irvine TECHNICAL REPORT #21 updated 10/73 Table of Contents. Introduction Oo 0 Debugging Facilities 1» 1 Introduction 1= 1 Temporarily Interrupting a Computation 1» 5 BREAKl - The Function that Supervises all Breaks 1= 6 What You Can Do In a Break 1- 8 Break.Commands 1. 8 Leaving a break with a value (0K,GO,EVAL,FROM ?) 1.8 Correction of UNBOUMD ATOM and UNDEFINED FUNCTION errors (>, USE) 1. 9 Aborting to Higher Breaks or the Top Level (t, TT) 1-10 Examining and Modifying the Context of a Break 1.11 Searching for a Context on the Stack 1.11 Editing a Form on the Context Stack 1.12 Evaluating a Form in a Higher Context 1.12 Backtrace Commands Printing the Functions, Forms and Variable Bindings on the Context Stack 1.15 Breakmacros User Defined Break Commands 1.17 How to Use the Break Package 1.18 Setting a Break to Investigate a Function 1.18 Tracing the Execution of Functions 1.19 Setting a Break INSIDE a Function 1.19 Removing Breaks and Traces 1.21 Using BREAKO Directly to Obtain Special Effects from the Break Package 1.23 Error Package - Getting Automatic Breaks 'When Errors Occur 1.24 Summary of Break Commands 1.25 The LISP Editor 2o 1 Introduction 2. 2 Coinmands for the Nev/ User 2.1Q Attention Changing Commands 2.15 Local Attention Changing Commands 2.16 Commands That Search 2.22 Search Algorithm 2.24
    [Show full text]
  • Prettyprinting
    Prettyprinting DEREK C. OPPEN Stanford University An algorithm for prettyprinting is given. For an input stream of length n and an output device with linewidth m, the algorithm requires time O(n) and space O(m). The algorithm is described in terms of two parallel processes: the first scans the input stream to determine the space required to print logical blocks of tokens; the second uses this information to decide where to break lines of text; the two processes communicate by means of a buffer of size O(m). The algorithm does not wait for the entire stream to be input, but begins printing as soon as it has received a full line of input. The algorithm is easily implemented. Key Words and Phrases: prettyprinting, formating, paragraphing, text editing, program manipulation CR Category: 4.12 1. INTRODUCTION A prettyprinter takes as input a stream of characters and prints them with aesthetically appropriate indentations and line breaks. As an example, consider the following stream: vat x: integer; y: char; begin x := 1; y := 'a' end If our line width is 40 characters, we might want it printed as follows: vat x: integer; y: char; begin x :--- 1; y := 'a' end If our line width is 30 characters, we might want it printed as follows: vat x : integer; y: char; begin X := I; y := 'a'; end But under no circumstances do we want to see vat x: integer; y: char; begin x := 1; y := 'a'; end Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Association for Computing Machinery.
    [Show full text]
  • Combining LATEX with Python
    Combining LATEX with Python Uwe Ziegenhagen August 9, 2019 Dante e. V. Heidelberg 1 About me • Uwe Ziegenhagen, from Cologne, Germany • In-house analyst in banking and private equity • Responsible for developing and maintaining individual software applications • Teacher for IT-related subjects at a private University of Applied Sciences 2 What’s this talk about? • LATEX-files are pure text files, so pretty much any programming language can be used to create them • Python has been my favourite programming language • Python is sufficiently fast, easy to learn and has a huge set of libraries • This talk is about Python and the way we can utilize it with LATEX 3 Today’s Topics • Introducing Python • Creating LATEX files with Python • Running Python from within LATEX 4 Python • Is a general purpose scripting language • Comes with a rich standard library ) “batteries included” • Was invented 1991 by Guido van Rossum at the Centrum Wiskunde & Informatica in the Netherlands, Version 1.0 in 1994 • Comes in version 2.7 and 3.x ) use version 3! 5 Python Design Philosophy • Open source • Simple, intuitive, but incredibly powerful • Source code as readable as plain English • Is suitable for everyday jobs as well as for machine learning • Offers short development cycles • Uses indentation, not brackets 6 Some basic Python The usual “Hello World!” 1 print(’Hello’+’’+’World’) Some function definition 1 def addTwo(a,b): 2 returna+b 3 4 print(addTwo(5,3)) 5 print(addTwo(’U’,’S’)) Interation over lists, arrays, etc. 1 some_string=’Hello TUG!’ 2 fori in some_string:
    [Show full text]
  • Declarative Specification of Template-Based Textual Editors
    Declarative Specification of Template-Based Textual Editors Tobi Vollebregt, Lennart C. L. Kats, and Eelco Visser Software Engineering Research Group Delft University of Technology The Netherlands [email protected] [email protected] [email protected] Abstract Syntax discoverability has been a crucial advantage of structure editors for new users of a language. Despite this advantage, structure editors have not been widely adopted. Based on immediate parsing and analyses, mod- ern textual code editors are also increasingly syntax-aware: structure and textual editors are converging into a new editing paradigm that combines text and templates. Current text-based language workbenches require re- dundant specification of the ingredients for a template-based editor, which is detrimental to the quality of syntactic completion, as consistency and completeness of the definition cannot be guaranteed. In this paper we describe the design and implementation of a speci- fication language for syntax definition based on templates. It unifies the specification of parsers, unparsers and template-based editors. We evalu- ate the template language by application to two domain-specific languages used for tax benefits and mobile applications. 1 Introduction Language-aware structure editors provide a template-based paradigm for editing programs. They allow composing programs by selecting a template and filling in the placeholders, which can again be extended using templates. A crucial advan- tage of structure editors is syntax discoverability, helping new users to learn the language by presenting possible syntactic completions in a menu. Structure ed- itors can be automatically generated from a syntax definition. Notable projects aiming at automatic generation of structure editors include MPS [23] and the Intentional Domain Workbench [19].
    [Show full text]
  • Maple Introductory Programming Guide
    Maple Introductory Programming Guide M. B. Monagan K. O. Geddes K. M. Heal G. Labahn S. M. Vorkoetter J. McCarron P. DeMarco Maplesoft, a division of Waterloo Maple Inc. 2009. ii Maplesoft, Maple, and Maplet are all trademarks of Waterloo Maple Inc. © Maplesoft, a division of Waterloo Maple Inc. 2009. All rights reserved. Information in this document is subject to change without notice and does not represent a commitment on the part of the vendor. The software described in this document is furnished under a license agreement and may be used or copied only in accordance with the agreement. It is against the law to copy the software on any medium except as specifically allowed in the agreement. Windows is a registered trademark of Microsoft Corporation. Java and all Java based marks are trademarks or registered trademarks of Sun Microsystems, Inc. in the United States and other countries. Maplesoft is independent of Sun Microsystems, Inc. All other trademarks are the property of their respective owners. This document was produced using a special version of Maple that reads and updates LaTeX files. Printed in Canada ISBN 978-1-897310-73-1 Contents Preface 1 Audience . 1 Worksheet Graphical Interface . 1 Manual Set . 2 Conventions . 2 The Maple Programming Language . 3 Using This Book . 3 Customer Feedback . 4 1 Introduction to Programming in Maple 5 In This Chapter . 5 1.1 The Maple Software . 5 1.2 Maple Statements . 6 Getting Started . 6 Maple Statements . 7 Getting Help . 7 Displaying a Text String . 7 Performing an Arithmetic Operation . 8 Assigning to a Name .
    [Show full text]