Programming Tools - Opaque Pointers
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Mod Perl 2.0 Source Code Explained 1 Mod Perl 2.0 Source Code Explained
mod_perl 2.0 Source Code Explained 1 mod_perl 2.0 Source Code Explained 1 mod_perl 2.0 Source Code Explained 15 Feb 2014 1 1.1 Description 1.1 Description This document explains how to navigate the mod_perl source code, modify and rebuild the existing code and most important: how to add new functionality. 1.2 Project’s Filesystem Layout In its pristine state the project is comprised of the following directories and files residing at the root direc- tory of the project: Apache-Test/ - test kit for mod_perl and Apache2::* modules ModPerl-Registry/ - ModPerl::Registry sub-project build/ - utilities used during project build docs/ - documentation lib/ - Perl modules src/ - C code that builds libmodperl.so t/ - mod_perl tests todo/ - things to be done util/ - useful utilities for developers xs/ - source xs code and maps Changes - Changes file LICENSE - ASF LICENSE document Makefile.PL - generates all the needed Makefiles After building the project, the following root directories and files get generated: Makefile - Makefile WrapXS/ - autogenerated XS code blib/ - ready to install version of the package 1.3 Directory src 1.3.1 Directory src/modules/perl/ The directory src/modules/perl includes the C source files needed to build the libmodperl library. Notice that several files in this directory are autogenerated during the perl Makefile stage. When adding new source files to this directory you should add their names to the @c_src_names vari- able in lib/ModPerl/Code.pm, so they will be picked up by the autogenerated Makefile. 1.4 Directory xs/ Apache2/ - Apache specific XS code APR/ - APR specific XS code ModPerl/ - ModPerl specific XS code maps/ - tables/ - Makefile.PL - 2 15 Feb 2014 mod_perl 2.0 Source Code Explained 1.4.1 xs/Apache2, xs/APR and xs/ModPerl modperl_xs_sv_convert.h - modperl_xs_typedefs.h - modperl_xs_util.h - typemap - 1.4.1 xs/Apache2, xs/APR and xs/ModPerl The xs/Apache2, xs/APR and xs/ModPerl directories include .h files which have C and XS code in them. -
CHERI C/C++ Programming Guide
UCAM-CL-TR-947 Technical Report ISSN 1476-2986 Number 947 Computer Laboratory CHERI C/C++ Programming Guide Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann June 2020 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom phone +44 1223 763500 https://www.cl.cam.ac.uk/ c 2020 Robert N. M. Watson, Alexander Richardson, Brooks Davis, John Baldwin, David Chisnall, Jessica Clarke, Nathaniel Filardo, Simon W. Moore, Edward Napierala, Peter Sewell, Peter G. Neumann, SRI International This work was supported by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL), under contracts FA8750-10-C-0237 (“CTSRD”) and HR0011-18-C-0016 (“ECATS”). The views, opinions, and/or findings contained in this report are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. This work was supported in part by the Innovate UK project Digital Security by Design (DSbD) Technology Platform Prototype, 105694. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 789108), ERC Advanced Grant ELVER. We also acknowledge the EPSRC REMS Programme Grant (EP/K008528/1), Arm Limited, HP Enterprise, and Google, Inc. Approved for Public Release, Distribution Unlimited. Technical reports published by the University of Cambridge Computer Laboratory are freely available via the Internet: https://www.cl.cam.ac.uk/techreports/ ISSN 1476-2986 3 Abstract This document is a brief introduction to the CHERI C/C++ programming languages. -
Optimizing the Use of High Performance Software Libraries
Optimizing the Use of High Performance Software Libraries Samuel Z. Guyer and Calvin Lin The University of Texas at Austin, Austin, TX 78712 Abstract. This paper describes how the use of software libraries, which is preva- lent in high performance computing, can benefit from compiler optimizations in much the same way that conventional computer languages do. We explain how the compilation of these informal languages differs from the compilation of more conventional computer languages. In particular, such compilation requires precise pointer analysis, requires domain-specific information about the library’s seman- tics, and requires a configurable compilation scheme. Finally, we show that the combination of dataflow analysis and pattern matching form a powerful tool for performing configurable optimizations. 1 Introduction High performance computing, and scientific computing in particular, relies heavily on software libraries. Libraries are attractive because they provide an easy mechanism for reusing code. Moreover, each library typically encapsulates a particular domain of ex- pertise, such as graphics or linear algebra, and the use of such libraries allows program- mers to think at a higher level of abstraction. In many ways, libraries are simply in- formal domain-specific languages whose only syntactic construct is the procedure call. This procedural interface is significant because it couches these informal languages in a familiar form, which is less imposing than a new computer language that introduces new syntax. Unfortunately, while libraries are not viewed as languages by users, they also are not viewed as languages by compilers. With a few exceptions, compilers treat each invocation of a library routine the same as any other procedure call. -
Typedef in C
CC -- TTYYPPEEDDEEFF http://www.tutorialspoint.com/cprogramming/c_typedef.htm Copyright © tutorialspoint.com The C programming language provides a keyword called typedef, which you can use to give a type a new name. Following is an example to define a term BYTE for one-byte numbers: typedef unsigned char BYTE; After this type definitions, the identifier BYTE can be used as an abbreviation for the type unsigned char, for example:. BYTE b1, b2; By convention, uppercase letters are used for these definitions to remind the user that the type name is really a symbolic abbreviation, but you can use lowercase, as follows: typedef unsigned char byte; You can use typedef to give a name to user defined data type as well. For example you can use typedef with structure to define a new data type and then use that data type to define structure variables directly as follows: #include <stdio.h> #include <string.h> typedef struct Books { char title[50]; char author[50]; char subject[100]; int book_id; } Book; int main( ) { Book book; strcpy( book.title, "C Programming"); strcpy( book.author, "Nuha Ali"); strcpy( book.subject, "C Programming Tutorial"); book.book_id = 6495407; printf( "Book title : %s\n", book.title); printf( "Book author : %s\n", book.author); printf( "Book subject : %s\n", book.subject); printf( "Book book_id : %d\n", book.book_id); return 0; } When the above code is compiled and executed, it produces the following result: Book title : C Programming Book author : Nuha Ali Book subject : C Programming Tutorial Book book_id : 6495407 typedef vs #define The #define is a C-directive which is also used to define the aliases for various data types similar to typedef but with following differences: The typedef is limited to giving symbolic names to types only where as #define can be used to define alias for values as well, like you can define 1 as ONE etc. -
Enum, Typedef, Structures and Unions CS 2022: Introduction to C
Enum, Typedef, Structures and Unions CS 2022: Introduction to C Instructor: Hussam Abu-Libdeh Cornell University (based on slides by Saikat Guha) Fall 2009, Lecture 6 Enum, Typedef, Structures and Unions CS 2022, Fall 2009, Lecture 6 Numerical Types I int: machine-dependent I Standard integers I defined in stdint.h (#include <stdint.h>) I int8 t: 8-bits signed I int16 t: 16-bits signed I int32 t: 32-bits signed I int64 t: 64-bits signed I uint8 t, uint32 t, ...: unsigned I Floating point numbers I float: 32-bits I double: 64-bits Enum, Typedef, Structures and Unions CS 2022, Fall 2009, Lecture 6 Complex Types I Enumerations (user-defined weekday: sunday, monday, ...) I Structures (user-defined combinations of other types) I Unions (same data, multiple interpretations) I Function pointers I Arrays and Pointers of the above Enum, Typedef, Structures and Unions CS 2022, Fall 2009, Lecture 6 Enumerations enum days {mon, tue, wed, thu, fri, sat, sun}; // Same as: // #define mon 0 // #define tue 1 // ... // #define sun 6 enum days {mon=3, tue=8, wed, thu, fri, sat, sun}; // Same as: // #define mon 3 // #define tue 8 // ... // #define sun 13 Enum, Typedef, Structures and Unions CS 2022, Fall 2009, Lecture 6 Enumerations enum days day; // Same as: int day; for(day = mon; day <= sun; day++) { if (day == sun) { printf("Sun\n"); } else { printf("day = %d\n", day); } } Enum, Typedef, Structures and Unions CS 2022, Fall 2009, Lecture 6 Enumerations I Basically integers I Can use in expressions like ints I Makes code easier to read I Cannot get string equiv. -
Evaluation of On-Ramp Control Algorithms
CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY Evaluation of On-ramp Control Algorithms Michael Zhang, Taewan Kim, Xiaojian Nie, Wenlong Jin University of California, Davis Lianyu Chu, Will Recker University of California, Irvine California PATH Research Report UCB-ITS-PRR-2001-36 This work was performed as part of the California PATH Program of the University of California, in cooperation with the State of California Business, Transportation, and Housing Agency, Department of Transportation; and the United States Department of Transportation, Federal Highway Administration. The contents of this report reflect the views of the authors who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the State of California. This report does not constitute a standard, specification, or regulation. Final Report for MOU 3013 December 2001 ISSN 1055-1425 CALIFORNIA PARTNERS FOR ADVANCED TRANSIT AND HIGHWAYS Evaluation of On-ramp Control Algorithms September 2001 Michael Zhang, Taewan Kim, Xiaojian Nie, Wenlong Jin University of California at Davis Lianyu Chu, Will Recker PATH Center for ATMS Research University of California, Irvine Institute of Transportation Studies One Shields Avenue University of California, Davis Davis, CA 95616 ACKNOWLEDGEMENTS Technical assistance on Paramics simulation from the Quadstone Technical Support sta is also gratefully acknowledged. ii EXECUTIVE SUMMARY This project has three objectives: 1) review existing ramp metering algorithms and choose a few attractive ones for further evaluation, 2) develop a ramp metering evaluation framework using microscopic simulation, and 3) compare the performances of the selected algorithms and make recommendations about future developments and eld tests of ramp metering systems. -
Presentation on Ocaml Internals
OCaml Internals Implementation of an ML descendant Theophile Ranquet Ecole Pour l’Informatique et les Techniques Avancées SRS 2014 [email protected] November 14, 2013 2 of 113 Table of Contents Variants and subtyping System F Variants Type oddities worth noting Polymorphic variants Cyclic types Subtyping Weak types Implementation details α ! β Compilers Functional programming Values Why functional programming ? Allocation and garbage Combinatory logic : SKI collection The Curry-Howard Compiling correspondence Type inference OCaml and recursion 3 of 113 Variants A tagged union (also called variant, disjoint union, sum type, or algebraic data type) holds a value which may be one of several types, but only one at a time. This is very similar to the logical disjunction, in intuitionistic logic (by the Curry-Howard correspondance). 4 of 113 Variants are very convenient to represent data structures, and implement algorithms on these : 1 d a t a t y p e tree= Leaf 2 | Node of(int ∗ t r e e ∗ t r e e) 3 4 Node(5, Node(1,Leaf,Leaf), Node(3, Leaf, Node(4, Leaf, Leaf))) 5 1 3 4 1 fun countNodes(Leaf)=0 2 | countNodes(Node(int,left,right)) = 3 1 + countNodes(left)+ countNodes(right) 5 of 113 1 t y p e basic_color= 2 | Black| Red| Green| Yellow 3 | Blue| Magenta| Cyan| White 4 t y p e weight= Regular| Bold 5 t y p e color= 6 | Basic of basic_color ∗ w e i g h t 7 | RGB of int ∗ i n t ∗ i n t 8 | Gray of int 9 1 l e t color_to_int= function 2 | Basic(basic_color,weight) −> 3 l e t base= match weight with Bold −> 8 | Regular −> 0 in 4 base+ basic_color_to_int basic_color 5 | RGB(r,g,b) −> 16 +b+g ∗ 6 +r ∗ 36 6 | Grayi −> 232 +i 7 6 of 113 The limit of variants Say we want to handle a color representation with an alpha channel, but just for color_to_int (this implies we do not want to redefine our color type, this would be a hassle elsewhere). -
SSC Reference Manual SDK 2017-1-17, Version 170
SSC Reference Manual SDK 2017-1-17, Version 170 Aron Dobos and Paul Gilman January 13, 2017 The SSC (SAM Simulation Core) software library is the collection of simu- lation modules used by the National Renewable Energy Laboratory’s System Advisor Model (SAM). The SSC application programming interface (API) al- lows software developers to integrate SAM’s modules into web and desktop applications. The API includes mechanisms to set input variable values, run simulations, and retrieve values of output variables. The SSC modules are available in pre-compiled binary dynamic libraries minimum system library de- pendencies for Windows, OS X, and Linux operating systems. The native API language is ISO-standard C, and language wrappers are available for C#, Java, MATLAB, Python, and PHP. The API and model implementations are thread- safe and reentrant, allowing the software to be used in a parallel computing environment. This document describes the SSC software architecture, modules and data types, provides code samples, introduces SDKtool, and describes the language wrappers. Contents 2 Contents 1 Overview4 1.1 Framework Description.............................. 4 1.2 Modeling an Energy System........................... 4 2 An Example: Running PVWatts5 2.1 Write the program skeleton ........................... 6 2.2 Create the data container ............................ 6 2.3 Assign values to the module input variables.................. 7 2.4 Run the module.................................. 7 2.5 Retrieve results from the data container and display them.......... 8 2.6 Cleaning up.................................... 8 2.7 Compile and run the C program ........................ 9 2.8 Some additional comments............................ 9 3 Data Variables9 3.1 Variable Names.................................. 10 3.2 Variable Types ................................. -
Pygtk 2.0 Tutorial
PyGTK 2.0 Tutorial John Finlay October 7, 2012 PyGTK 2.0 Tutorial by John Finlay Published March 2, 2006 ii Contents 1 Introduction 1 1.1 Exploring PyGTK . .2 2 Getting Started 5 2.1 Hello World in PyGTK . .7 2.2 Theory of Signals and Callbacks . .9 2.3 Events . 10 2.4 Stepping Through Hello World . 11 3 Moving On 15 3.1 More on Signal Handlers . 15 3.2 An Upgraded Hello World . 15 4 Packing Widgets 19 4.1 Theory of Packing Boxes . 19 4.2 Details of Boxes . 20 4.3 Packing Demonstration Program . 22 4.4 Packing Using Tables . 27 4.5 Table Packing Example . 28 5 Widget Overview 31 5.1 Widget Hierarchy . 31 5.2 Widgets Without Windows . 34 6 The Button Widget 35 6.1 Normal Buttons . 35 6.2 Toggle Buttons . 38 6.3 Check Buttons . 40 6.4 Radio Buttons . 42 7 Adjustments 45 7.1 Creating an Adjustment . 45 7.2 Using Adjustments the Easy Way . 45 7.3 Adjustment Internals . 46 8 Range Widgets 49 8.1 Scrollbar Widgets . 49 8.2 Scale Widgets . 49 8.2.1 Creating a Scale Widget . 49 8.2.2 Methods and Signals (well, methods, at least) . 50 8.3 Common Range Methods . 50 8.3.1 Setting the Update Policy . 50 8.3.2 Getting and Setting Adjustments . 51 8.4 Key and Mouse Bindings . 51 8.5 Range Widget Example . 51 9 Miscellaneous Widgets 57 9.1 Labels . 57 9.2 Arrows . 60 9.3 The Tooltips Object . -
Function Pointer Declaration in C Typedef
Function Pointer Declaration In C Typedef Rearing Marshall syllabized soever, he pervades his buttons very bountifully. Spineless Harcourt hybridized truncately. Niven amend unlearnedly. What context does call function declaration or not written swig code like you can call a function Understanding typedefs for function pointers in C Stack. The compiler would like structure i can use a typedef name for it points regarding which you are two invocation methods on. This a function code like an extra bytes often used as an expression in a lot of getting variables. Typedef Wikipedia. An alias for reading this website a requirement if we define a foothold into your devices and complexity and a mismatch between each c string. So group the perspective of C, it close as hate each round these lack a typedef. Not only have been using gcc certainly warns me a class member of memory cannot define an alias for a typedef? C typedef example program Complete C tutorial. CFunctionPointers. Some vendors of C products for 64-bit machines support 64-bit long ints Others fear lest too. Not knowing what would you want a pointer? The alias in memory space too complex examples, they have seen by typos. For one argument itself request coming in sharing your data type and thomas carriero for it, wasting a portability issue. In all c programming, which are communicating with. Forward declaration typedef struct a a Pointer to function with struct as. By using the custom allocator throughout your code you team improve readability and genuine the risk of introducing bugs caused by typos. -
Name Synopsis Description
Perl version 5.16.2 documentation - c2ph NAME c2ph, pstruct - Dump C structures as generated from cc -g -S stabs SYNOPSIS c2ph [-dpnP] [var=val] [files ...] OPTIONS Options: -wwide; short for: type_width=45 member_width=35 offset_width=8 -xhex; short for: offset_fmt=x offset_width=08 size_fmt=x size_width=04 -ndo not generate perl code (default when invoked as pstruct) -pgenerate perl code (default when invoked as c2ph) -vgenerate perl code, with C decls as comments -ido NOT recompute sizes for intrinsic datatypes -adump information on intrinsics also -ttrace execution -dspew reams of debugging output -slist give comma-separated list a structures to dump DESCRIPTION The following is the old c2ph.doc documentation by Tom Christiansen<[email protected]>Date: 25 Jul 91 08:10:21 GMT Once upon a time, I wrote a program called pstruct. It was a perlprogram that tried to parse out C structures and display their memberoffsets for you. This was especially useful for people looking at binary dumps or poking around the kernel. Pstruct was not a pretty program. Neither was it particularly robust.The problem, you see, was that the C compiler was much better at parsingC than I could ever hope to be. So I got smart: I decided to be lazy and let the C compiler parse the C,which would spit out debugger stabs for me to read. These were mucheasier to parse. It's still not a pretty program, but at least it's morerobust. Pstruct takes any .c or .h files, or preferably .s ones, since that'sthe format it is going to massage them into anyway, and spits outlistings -
A Proposal for a Revision of ISO Modula-2 2
A Proposal for a Revision of ISO Modula-2 Benjamin Kowarsch, Modula-2 Software Foundation ∗ May 2020 (arXiv.org preprint) Abstract The Modula-2 language was first specified in [Wir78] by N. Wirth at ETH Z¨urich in 1978 and then revised several times. The last revision [Wir88] was published in 1988. The resulting language reports included ambiguities and lacked a comprehensive standard library. To resolve the ambiguities and specify a comprehensive standard library an ISO/IEC working group was formed and commenced work in 1987. A base standard was then ratified and published as IS 10514-1 in 1996 [JTC96]. Several conforming compilers have since been developed. At least five remain available of which at least three are actively maintained and one has been open sourced. Meanwhile, various deficiencies of the standard have become apparent but since its publication, no revision and no maintenance has been carried out. This paper discusses some of the deficiencies of IS 10514-1 and proposes a limited revision that could be carried out with moderate effort. The scope of the paper has been deliberately limited to the core language of the base standard and therefore excludes the standard library. 1 ISO/IEC Standardisation [II20] describes ISO/IEC standardisation procedures, summarised in brief below. 1.1 Organisational Overview The International Organisation for Standardisation (ISO) and the International Electrotechnical Commission (IEC) operate a joint technical committee (JTC1) to develop, publish and maintain information technology standards. JTC1 is organised into subcommittees (SC) and working groups (WG). The subcommittee for programming languages is JTC1/SC22. The working group that developed the ISO Modula-2 standard was JTC1/SC22/WG13.