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C++ Metastring Library and Its Applications⋆
C++ Metastring Library and its Applications! Zal´anSz˝ugyi, Abel´ Sinkovics, Norbert Pataki, and Zolt´anPorkol´ab Department of Programming Languages and Compilers, E¨otv¨osLor´andUniversity P´azm´any P´eter s´et´any 1/C H-1117 Budapest, Hungary {lupin, abel, patakino, gsd}@elte.hu Abstract. C++ template metaprogramming is an emerging direction of generative programming: with proper template definitions wecanenforce the C++ compiler to execute algorithms at compilation time. Template metaprograms have become essential part of today’s C++ programs of industrial size; they provide code adoptions, various optimizations, DSL embedding, etc. Besides the compilation time algorithms, template metaprogram data-structures are particularly important. From simple typelists to more advanced STL-like data types there are a variety of such constructs. Interesting enough, until recently string, as one of the most widely used data type of programming, has not been supported. Al- though, boost::mpl::string is an advance in this area, it still lacks the most fundamental string operations. In this paper, we analysed the pos- sibilities of handling string objects at compilation time with a metastring library. We created a C++ template metaprogram library that provides the common string operations, like creating sub-strings, concatenation, replace, and similar. To provide real-life use-cases we implemented two applications on top of our Metastring library. One use case utilizes com- pilation time inspection of input in the domain of pattern matching al- gorithms, thus we are able to select the more optimal search method at compilation time. The other use-case implements safePrint, a type-safe version of printf –awidelyinvestigatedproblem.Wepresentboththe performance improvements and extended functionality we haveachieved in the applications of our Metastring library. -
CS 0449: Introduction to Systems Software
CS 0449: Introduction to Systems Software Jonathan Misurda Computer Science Department University of Pittsburgh [email protected] http://www.cs.pitt.edu/∼jmisurda Version 3, revision 1 Last modified: July 27, 2017 at 1:33 P.M. Copyright © 2017 by Jonathan Misurda This text is meant to accompany the course CS 0449 at the University of Pittsburgh. Any other use, commercial or otherwise, is prohibited without permission of the author. All rights reserved. Java is a registered trademark of Oracle Corporation. This reference is dedicated to the students of CS 0449, Fall 2007 (2081). Their patience in dealing with a changing course and feedback on the first version of this text was greatly appreciated. Contents Contents i List of Figures v List of Code Listings vii Preface ix 1 Pointers 1 1.1 Basic Pointers . 2 1.1.1 Fundamental Operations . 2 1.2 Passing Pointers to Functions . 4 1.3 Pointers, Arrays, and Strings . 5 1.3.1 Pointer Arithmetic . 6 1.4 Terms and Definitions . 7 2 Variables: Scope & Lifetime 8 2.1 Scope and Lifetime in C . 9 2.1.1 Global Variables . 11 2.1.2 Automatic Variables . 12 2.1.3 Register variables . 13 2.1.4 Static Variables . 13 2.1.5 Volatile Variables . 16 2.2 Summary Table . 17 2.3 Terms and Definitions . 17 ii Contents 3 Compiling & Linking: From Code to Executable 19 3.1 The Stages of Compilation . 19 3.1.1 The Preprocessor . 20 3.1.2 The Compiler . 21 3.1.3 The Linker . 22 3.2 Executable File Formats . -
13 Templates-Generics.Pdf
CS 242 2012 Generic programming in OO Languages Reading Text: Sections 9.4.1 and 9.4.3 J Koskinen, Metaprogramming in C++, Sections 2 – 5 Gilad Bracha, Generics in the Java Programming Language Questions • If subtyping and inheritance are so great, why do we need type parameterization in object- oriented languages? • The great polymorphism debate – Subtype polymorphism • Apply f(Object x) to any y : C <: Object – Parametric polymorphism • Apply generic <T> f(T x) to any y : C Do these serve similar or different purposes? Outline • C++ Templates – Polymorphism vs Overloading – C++ Template specialization – Example: Standard Template Library (STL) – C++ Template metaprogramming • Java Generics – Subtyping versus generics – Static type checking for generics – Implementation of Java generics Polymorphism vs Overloading • Parametric polymorphism – Single algorithm may be given many types – Type variable may be replaced by any type – f :: tt => f :: IntInt, f :: BoolBool, ... • Overloading – A single symbol may refer to more than one algorithm – Each algorithm may have different type – Choice of algorithm determined by type context – Types of symbol may be arbitrarily different – + has types int*intint, real*realreal, ... Polymorphism: Haskell vs C++ • Haskell polymorphic function – Declarations (generally) require no type information – Type inference uses type variables – Type inference substitutes for variables as needed to instantiate polymorphic code • C++ function template – Programmer declares argument, result types of fctns – Programmers -
Secure Coding in Modern C++
MASARYK UNIVERSITY FACULTY OF INFORMATICS Secure coding in modern C++ MASTER'S THESIS Be. Matěj Plch Brno, Spring 2018 MASARYK UNIVERSITY FACULTY OF INFORMATICS Secure coding in modern C++ MASTER'S THESIS Be. Matěj Plch Brno, Spring 2018 This is where a copy of the official signed thesis assignment and a copy of the Statement of an Author is located in the printed version of the document. Declaration Hereby I declare that this paper is my original authorial work, which I have worked out on my own. All sources, references, and literature used or excerpted during elaboration of this work are properly cited and listed in complete reference to the due source. Be. Matěj Plch Advisor: RNDr. Jifi Kur, Ph.D. i Acknowledgements I would like to thank my supervisor Jiří Kůr for his valuable guidance and advice. I would also like to thank my parents for their support throughout my studies. ii Abstract This thesis documents how using modern C++ standards can help with writing more secure code. We describe common vulnerabilities, and show new language features which prevent them. We also de• scribe coding conventions and tools which help programmers with using modern C++ features. This thesis can be used as a handbook for programmers who would like to know how to use modern C++ features for writing secure code. We also perform an extensive static analysis of open source C++ projects to find out how often are obsolete constructs of C++ still used in practice. iii Keywords secure coding, modern C++, vulnerabilities, ISO standard, coding conventions, -
Resource Management and Tuples in C∀
Resource Management and Tuples in C8 by Robert Schluntz A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Mathematics in Computer Science Waterloo, Ontario, Canada, 2017 © Robert Schluntz 2017 I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract C8 is a modern, non-object-oriented extension of the C programming language. This thesis addresses several critical deficiencies of C, notably: resource management, a limited function- return mechanism, and unsafe variadic functions. To solve these problems, two fundamental language features are introduced: tuples and constructors/destructors. While these features exist in prior programming languages, the contribution of this work is engineering these features into a highly complex type system. C is an established language with a dedicated user-base. An important goal is to add new features in a way that naturally feels like C, to appeal to this core user-base, and due to huge amounts of legacy code, maintaining backwards compatibility is crucial. iii Acknowledgements I would like to thank my supervisor, Professor Peter Buhr, for all of his help, including reading the many drafts of this thesis and providing guidance throughout my degree. This work would not have been as enjoyable, nor would it have been as strong without Peter’s knowledge, help, and encouragement. I would like to thank my readers, Professors Gregor Richards and Patrick Lam for all of their helpful feedback. -
CFFI Documentation Release 1.5.2
CFFI Documentation Release 1.5.2 Armin Rigo, Maciej Fijalkowski February 13, 2016 Contents 1 What’s New 3 1.1 v1.5.2...................................................3 1.2 v1.5.1...................................................3 1.3 v1.5.0...................................................3 1.4 v1.4.2...................................................3 1.5 v1.4.1...................................................3 1.6 v1.4.0...................................................3 1.7 v1.3.1...................................................4 1.8 v1.3.0...................................................4 1.9 v1.2.1...................................................5 1.10 v1.2.0...................................................5 1.11 v1.1.2...................................................5 1.12 v1.1.1...................................................5 1.13 v1.1.0...................................................6 1.14 v1.0.3...................................................6 1.15 v1.0.2...................................................6 1.16 v1.0.1...................................................6 1.17 v1.0.0...................................................6 2 Installation and Status 7 2.1 Platform-specific instructions......................................8 3 Overview 11 3.1 Simple example (ABI level, in-line)................................... 11 3.2 Out-of-line example (ABI level, out-of-line).............................. 12 3.3 Real example (API level, out-of-line).................................. 13 3.4 Struct/Array Example -
Functional Programming with C++ Template Metaprograms
Functional Programming with C++ Template Metaprograms Zolt´an Porkol´ab E¨otv¨os Lor´and University, Faculty of Informatics Dept. of Programming Languages and Compilers P´azm´any P´eter s´et´any 1/C H-1117 Budapest, Hungary [email protected] Abstract. Template metaprogramming is an emerging new direction of generative programming: with the clever definitions of templates we can enforce the C++ compiler to execute algorithms at compilation time. Among the application areas of template metaprograms are the expres- sion templates, static interface checking, code optimization with adap- tion, language embedding and active libraries. However, as this feature of C++ was not an original design goal, the language is not capable of elegant expression of template metaprograms. The complicated syn- tax leads to the creation of code that is hard to write, understand and maintain. Despite that template metaprogramming has a strong rela- tionship with functional programming paradigm, language syntax and the existing libraries do not follow these requirements. In this paper we give a short and incomplete introduction to C++ templates and the ba- sics of template metaprogramming. We will enlight the role of template metaprograms, some important and widely used idioms and techniques. 1 Introduction Templates are key elements of the C++ programming language [3, 32]. They enable data structures and algorithms to be parameterized by types, thus cap- turing commonalities of abstractions at compilation time without performance penalties at runtime [37]. Generic programming [28, 27, 17] is a recently popu- lar programming paradigm, which enables the developer to implement reusable codes easily. Reusable components { in most cases data structures and algo- rithms { are implemented in C++ with the heavy use of templates. -
A Tool for the Evaluation of the Complexity of Programs Using C++ Templates
COMPUTATION TOOLS 2011 : The Second International Conference on Computational Logics, Algebras, Programming, Tools, and Benchmarking A Tool for the Evaluation of the Complexity of Programs Using C++ Templates Nicola Corriero, Emanuele Covino and Giovanni Pani Dipartimento di Informatica Università di Bari Italy Email: (corriero|covino|pani)@di.uniba.it Abstract—We investigate the relationship between C++ tem- template <int X> class pow<0,X> plate metaprogramming and computational complexity, show- {public: enum {result=1};}; ing how templates characterize the class of polynomial-time computable functions, by means of template recursion and specialization. Hence, standard C++ compilers can be used as The command line int z=pow<3,5>::result, produces at a tool to certify polytime-bounded programs. compile time the value 125, since the operator A::B refers to Keywords-Partial evaluation; C++ template metaprogram- the symbol B in the scope of A; when reading the command ming; polynomial-time programs. pow<3,5>::result, the compiler triggers recursively the template for the values <2,5>, <1,5>, until it eventually I. INTRODUCTION hits <0,5>. This final case is handled by the partially According to [7], template metaprograms consist of specialized template pow<0,X>, that returns 1. Instructions classes of templates operating on numbers and types as like enum{result = function<args>::result;} represent the a data. Algorithms are expressed using template recursion step of the recursive evaluation of function, and produce the as a looping construct and template specialization as a intermediate values. This computation happens at compile conditional construct. Template recursion involves the use time, since enumeration values are not l-values, and when of class templates in the construction of its own member one pass them to the recursive call of a template, no static type or member constant. -
A Multilanguage Static Analysis of Python Programs with Native C Extensions Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné
A Multilanguage Static Analysis of Python Programs with Native C Extensions Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné To cite this version: Raphaël Monat, Abdelraouf Ouadjaout, Antoine Miné. A Multilanguage Static Analysis of Python Programs with Native C Extensions. Static Analysis Symposium (SAS), Oct 2021, Chicago, Illinois, United States. hal-03313409 HAL Id: hal-03313409 https://hal.archives-ouvertes.fr/hal-03313409 Submitted on 3 Aug 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. A Multilanguage Static Analysis of Python Programs with Native C Extensions∗ Raphaël Monat1�, Abdelraouf Ouadjaout1�, and Antoine Miné1;2� [email protected] 1 Sorbonne Université, CNRS, LIP6, F-75005 Paris, France 2 Institut Universitaire de France, F-75005, Paris, France Abstract. Modern programs are increasingly multilanguage, to benefit from each programming language’s advantages and to reuse libraries. For example, developers may want to combine high-level Python code with low-level, performance-oriented C code. In fact, one in five of the 200 most downloaded Python libraries available on GitHub contains C code. Static analyzers tend to focus on a single language and may use stubs to model the behavior of foreign function calls. -
C and C++ Functions Variadic User-Defined Standard Predefined
MODULE 4 FUNCTIONS Receive nothing, return nothing-receive nothing, return something- receive something, return something-receive something, return nothing And they do something. That is a function! My Training Period: hours Note: Function is one of the important topics in C and C++. Abilities ▪ Able to understand and use function. ▪ Able to create user defined functions. ▪ Able to understand Structured Programming. ▪ Able to understand and use macro. ▪ Able to appreciate the recursive function. ▪ Able to find predefined/built-in standard and non-standard functions resources. ▪ Able to understand and use predefined/built-in standard and non-standard functions. ▪ Able to understand and use the variadic functions. 4.1 Some Definition - Most computer programs that solve real-world problem are large, containing thousand to million lines of codes and developed by a team of programmers. - The best way to develop and maintain large programs is to construct them from smaller pieces or modules, each of which is more manageable than the original program. - These smaller pieces are called functions. In C++ you will be introduced to Class, another type smaller pieces construct. - The function and class are reusable. So in C / C++ programs you will encounter and use a lot of functions. There are standard (normally called library) such as maintained by ANSI C / ANSI C++, ISO/IEC C, ISO/IEC C++ and GNU’s glibc or other non-standard functions (user defined or vendors specific or implementations or platforms specific). - If you have noticed, in the previous Modules, you have been introduced with many functions, including the main(). main() itself is a function but with a program execution point. -
Subroutines and Control Abstraction8
Subroutines and Control Abstraction8 8.4.4 Generics in C++, Java, and C# Though templates were not officially added to C++ until 1990, when the language was almost ten years old, they were envisioned early in its evolution. C# generics, likewise, were planned from the beginning, though they actually didn’t appear until the 2.0 release in 2004. By contrast, generics were deliberately omitted from the original version of Java. They were added to Java 5 (also in 2004) in response to strong demand from the user community. C++Templates EXAMPLE 8.69 Figure 8.13 defines a simple generic class in C++ that we have named an Generic arbiter class in arbiter. The purpose of an arbiter object is to remember the “best instance” C++ it has seen of some generic parameter class T. We have also defined a generic chooser class that provides an operator() method, allowing it to be called like a function. The intent is that the second generic parameter to arbiter should be a subclass of chooser, though this is not enforced. Given these definitions we might write class case_sensitive : chooser<string> { public: bool operator()(const string& a, const string& b){returna<b;} }; ... arbiter<string, case_sensitive> cs_names; // declare new arbiter cs_names.consider(new string("Apple")); cs_names.consider(new string("aardvark")); cout << *cs_names.best() << "\n"; // prints "Apple" Alternatively, we might define a case_insensitive descendant of chooser, whereupon we could write Copyright c 2009 by Elsevier Inc. All rights reserved. 189 CD_Ch08-P374514 [11:51 2009/2/25] SCOTT: Programming Language Pragmatics Page: 189 379–215 190 Chapter 8 Subroutines and Control Abstraction template<class T> class chooser { public: virtual bool operator()(const T& a, const T& b) = 0; }; template<class T, class C> class arbiter { T* best_so_far; C comp; public: arbiter() { best_so_far = 0; } void consider(T* t) { if (!best_so_far || comp(*t, *best_so_far)) best_so_far = t; } T* best() { return best_so_far; } }; Figure 8.13 Generic arbiter in C++. -
The Eval Symbol for Axiomatising Variadic Functions
The eval symbol for axiomatising variadic functions Lars Hellstr¨om Division of Applied Mathematics, The School of Education, Culture and Communication, M¨alardalen University, Box 883, 721 23 V¨aster˚as,Sweden; [email protected] Abstract This paper describes (and constitutes the source for!) the proposed list4 OpenMath content dictionary. The main feature in this content dictionary is the eval symbol, which treats a list of values as the list of children of an application element. This may, among other things, be employed to state properties of variadic functions. 1 Background and motivation OpenMath is a formal language for (primarily) mathematics. It is not a coherent theory of mathematics, but the standard makes room for and even encourages expressing small fragments of theory in the form of mathematical properties of symbols in content dictionaries. The main purpose of these is to nail down exactly what concept a symbol denotes, and they can take the form of a direct definition of the symbol, but mathematical properties may also clarify a concept in more indirect ways, e.g. by stating that a particular operation is commutative. As a language of formalised mathematical logic, OpenMath is somewhat unusual in allowing application symbols to be variadic|a flexibility that is most commonly used to generalise binary associative operations into general n-ary operations, but it is by no means useful only for that. By contrast, the formal language used in e.g. [2] rather considers the arity to be a built-in property of each function or predicate symbol, and acknowlegdes no particular link between 1 2 unary function symbol one (f1 ) and binary function symbol one (f1 ).