Matt Clements · Apress eBooks · 2014
Metaprogramming is the ability to write code that operates on other code, rather than data. In all previous chapters we have written code that operates on other data, such as the reading/writing of variables, outputting to screen, communicating with files or other input output streams. Metaprogramming is the ability to write code that adjusts the functionality of a class or dynamically call a method without a direct call to this method existing within the executable code. This is extremely useful when you want to amend the method being called depending on a scenario, or if you want to modify the behavior of a class during the runtime.
Cited by 0
Chaur G. Wu · Apress eBooks · 2010
Metaprogramming is everywhere in the DLR. All the LINQ Expression examples you saw in Chapter 2 and all the DLR Hosting API examples you saw in Chapter 6 are metaprograms. Because metaprogramming plays such a pervasive role in the DLR, we're going to dive deeper into the subject and show you some advanced and marvelous uses of metaprogramming. We will begin with an overview of metaprogramming. The overview will discuss what metaprogramming is and where it is used in the DLR, then we'll look at one type of metaprogramming that adds and removes methods or properties to or from a class or an instance of a class. We will illustrate the metaprogramming technique in Ruby and Python, then write some infrastructure code that enables us to use the same kind of metaprogramming technique in C# through the DLR. The infrastructure code will consist of two classes called ClassMetaObject and ExpandoClass.KeywordsExpression TreeInstance LevelCustomer ClassDynamic LanguageLambda ExpressionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Cited by 0
Murdoch J. Gabbay, Aleksandar Nanevski · 2016
Cited by 0
Chen, Tianyu, Shetty, Darshal, Siek, Jeremy G. et al. · arXiv (Cornell University) · 2025
Data engineers increasingly use domain-specific languages (DSLs) to generate the code for data pipelines. Such DSLs are often embedded in Python. Unfortunately, there are challenges in debugging the generation of data pipelines: an error in a Python DSL script is often detected too late, after the execution of the script, and the source code location that triggers the error is hard to pinpoint. In this paper, we focus on the scenario where a DSL embedded in Python (so it is dynamically-typed) generates data pipeline description code that is statically-typed. We propose gradual metaprogramming to (1) provide a migration path toward statically typed DSLs, (2) immediately provide earlier detection of code generation type errors, and (3) report the source code location responsible for the type error. Gradual metaprogramming accomplishes this by type checking code fragments and incrementally performing runtime checks as they are spliced together. We define MetaGTLC, a metaprogramming calculus in which a gradually-typed metalanguage manipulates a statically-typed object language, and give semantics to it by translation to the cast calculus MetaCC. We prove that successful metaevaluation always generates a well-typed object program and mechanize the proof in Agda.
Cited by 0Open access
Miao, Weiyu · CU Scholar (University of Colorado Boulder) · 2013
Reflective Metaprogramming is capable of inspecting code, enables us to write templates, and can automatically instantiate templates according to the meta information obtained by reflection. Reflective metaprogramming supports the writing of generic and reusable software components. However, there are the challenges of designing a reflective metaprogramming language. One challenge is the design of the type system: in a language with type-reflective metaprogramming, type expressions in the residual program may be the result of meta computation, making the type system difficult to guarantee that the residual code in a metaprogram is statically type safe without sacrificing language expressiveness. Another challenge is the deign of reflective metaprogramming language. Some previous work proposed pattern-based reflection for inspecting and generating class members, but with limited ways that generated declarations can be composed.\nIn this thesis, we present incremental type-checking for reflective metaprograms. It detects errors earlier than C++ templates without sacrificing flexibility: we incrementally type check code fragments as they are created and spliced together during meta computation. We use type variables to represent type expressions that are not yet normalized and a new dynamic variation on existential types to represent residual code fragments. A type error in a code fragment is treated as a run-time error of the meta computation.\nIn this thesis, we present pattern-based traits, a language design, embodied in PTFJ (Pattern-based Traits for Featherweight Java), that combines pattern-based reflection with the expressiveness of trait composition. Pattern-based traits can group, name, and manipulate sets of member declarations. Parameterizing traits over such sets can further increase the expressiveness of pattern-based reflection.
Cited by 0Open access
Nicolas Pinto, David Cox · Elsevier eBooks · 2011
Cited by 3
Trina Sanders · Zenodo (CERN European Organization for Nuclear Research) · 2024
Cited by 0Open access
Thomas Ertl, Wolfgang Heidrich, Michael Doggett (editors et al. · 2002
Modern graphics accelerators have embedded programmable components in the form of vertex and fragment shading units. Current APIs permit specification of the programs for these components using an assembly-language level interface. Compilers for high-level shading languages are available but these read in an external string specification, which can be inconvenient.
Cited by 0
Viroli, Mirko · AMS Campus - AlmaDL · 2008
Cited by 0
Koppel, James · DSpace@MIT (Massachusetts Institute of Technology) · 2021
Programming languages researchers have developed many advanced tools that promise to greatly ease software engineering. Yet even conceptually simple tools are expensive to implement fully due to the complexity of the target language, and standard techniques tie an implementation to a particular target language. In order to make the development of advanced programming tools economical, these problems demand new techniques for decomposing the development of tools and automating portions of their construction, which I collectively dub "meta-metaprogramming." In this thesis, I present three new meta-metaprogramming techniques reducing the work needed to build programming tools, each applicable to the specific problem of sharing implementation code between similar tools for different languages. These techniques respectively allow a single implementation of a transformation to losslessly rewrite code in many languages, automatically generate a family of programming tools from a language's semantics, and develop a new representation for sets of programs which is applicable to a variety of languages and synthesis tasks.
Cited by 0
Tianyu Chen, Darshal Shetty, Jeremy G. Siek et al. · 2025
Data engineers increasingly use domain-specific languages (DSLs) to generate the code for data pipelines. Such DSLs are often embedded in Python. Unfortunately, there are challenges in debugging the generation of data pipelines: an error in a Python DSL script is often detected too late, after the execution of the script, and the source code location that triggers the error is hard to pinpoint.
Cited by 0Open access
Greg Morrisett, Geoffrey Mainland · 2011
This dissertation describes new language features and techniques for program generation that open the use of high-level languages for programming low-level devices. Existing work in the programming languages community focuses on the theoretical properties of metaprogramming languages—languages with explicit support for writing programs that generate programs. We focus on building real systems targeting two types of special-purpose device—sensor nodes and GPUs. Though we would like to gain the abstraction and safety benefits of a high-level language like Haskell when programming these systems, device constraints limit us to using low-level languages. We show how to recover some of the benefits of a high-level language in these domains by using Haskell to generate programs in low-level languages— heterogeneous metaprogramming.
We make the following contributions. First, we provide an implementation of quasiquotation that is now shipped as part of GHC, the de facto Haskell compiler. Quasiquotation allows Haskell expressions and patterns to be constructed using domain specific, programmer-defined concrete syntax. Complementing our implementation, we give a new technique for leveraging generic programming to transform an existing parser into a full quasiquoter with minimal changes. Second is Flask, a library that uses Haskell in a new way to capture reusable, higher-order dataflow patterns in sensor network programs that are parameterized by low-level code. We demonstrate code savings resulting from Flask's abstraction abilities through re-implementing a large, deployed sensor network application in Flask, and we show that Flask scales to run on an actual sensor network of 160 nodes. Third is Nikola, which integrates GPU computation and CPU computation by automatically compiling a subset of Haskell, requiring only minimal syntactic changes, to GPU binary code. Our translation relies on a new technique for avoiding code explosion in embedded languages and needs no compiler modifications. Our benchmarks demonstrate that for certain computations, implementations in Haskell perform as well as hand-written CUDA.
Cited by 0
Karl Klose, Klaus Ostermann · ACM SIGPLAN Notices · 2010
In logic metaprogramming, programs are not stored as plain textfiles but rather derived from a deductive database. While the benefits of this approach for metaprogramming are obvious, its incompatibility with separate checking limits its applicability to large-scale projects. We analyze the problems inhibiting separate checking and propose a class of logics that reconcile logic metaprogramming and separate checking. We have formalized the resulting module system and have proven the soundness of separate checking. We validate its feasibility by presenting the design and implementation of a specific logic that is able to express many metaprogramming examples from the literature.
Cited by 0
Fellipe Augusto Ugliara · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2018
Não recebi financiamento
Cited by 0Open access
crihjnpzg · Zenodo (CERN European Organization for Nuclear Research) · 2024
<pre><code>\n<p><strong>c++ metaprogramming pdf</strong><br></p>\n<p>Rating: 4.3 / 5 (4012 votes)<br></p>\n<p>Downloads: 27121<br><br></p>\n <p>= = = = = \n<strong><a href="https://myvroom.fr/21Nr9y?keyword=c++ metaprogramming pdf" target="_blank">CLICK HERE TO DOWNLOAD</a></strong>\n = = = = = <br><br></p>\n<p><br><br><br><br></p>\n<p><br><br><br><br></p>\n<p><br><br>Version () (C) NICTA. Notes about modern C++, C++11, C++and C++17, Boost Libraries, ABI, foreign function interface and reference cardscaiorss/C-Cpp-Notes Skip to content Toggle navigationTemplates can be partially specialized. Contribute to dumppool/CppMacro development by creating an account on GitHub Course site for COMP C++STL Cookbook. , · PDF. Open Access. C++ templates were originally designed to reduce duplication of code We also provide a PDF file that has color images of the screenshots/diagrams used in this book. This paper proposes to show how a modern C++ approach based on generative programming techniques such as vectorization and loop unrolling in the framework of meta-programming can deliver efficient automatically generated codes for such routines, that are competitive with existing, hand-tuned library kernels with a very CppMacro. Performance comparisons suggest that the library is Basic C++ coding experience is necessary to get started with this book. Cannot retrieve contributors at this timeMB. C++_Template_ Go to file. This course covers templates extensively, revealing their underlying mechanics, uses, and advancements. Whether you are a beginner or an advanced C++ developer, the importance of mastering templates and understanding their diverse applications cannot be understated Template functions: Functions whose functionality can be adapted to more than one type or class without repeating the entire code for each type. Templates have revolutionized the world of C++ programming. Let's break it down: Template functions are completely generic functions! sh4deofsun Resources Public. Dr Conrad Sanderson Senior Research Scientist. Just like classes, they work regardless of type! If the compiler finds that something went wrong when substituting template parameters, it will simply ignore that template Advanced C++ Template Techniques: An Introduction to Meta-Programming for Scientific Computing. Click here Resources/ at master · sh4deofsun/Resources · GitHub. ForkStar Projects Pdf_module_version Ppi Rcs_key Republisher_date Republisher_operator associate-mercedes-densing@ Republisher_time Scandate Scanner stationcebu TLDR. Year Type AuthorsThis is accomplished through C++ template meta-programming. Template functions are completely generic functions! /. If there are two template classes lared, there is a ranking system to determine which one to use. Notifications. More specialized templates have higher priority.</p></code></pre>
Cited by 0Open access
Joël Falcou, Edouard Alligand · SPIRE - Sciences Po Institutional REpository · 2016
International audience
Cited by 1
vorbmbedbc · Zenodo (CERN European Organization for Nuclear Research) · 2024
c++ metaprogramming pdf Rating: 4.3 / 5 (4012 votes) Downloads: 27121 = = = = = CLICK HERE TO DOWNLOAD = = = = = Version () (C) NICTA. Notes about modern C++, C++11, C++and C++17, Boost Libraries, ABI, foreign function interface and reference cardscaiorss/C-Cpp-Notes Skip to content Toggle navigationTemplates can be partially specialized. Contribute to dumppool/CppMacro development by creating an account on GitHub Course site for COMP C++STL Cookbook. , · PDF. Open Access. C++ templates were originally designed to reduce duplication of code We also provide a PDF file that has color images of the screenshots/diagrams used in this book. This paper proposes to show how a modern C++ approach based on generative programming techniques such as vectorization and loop unrolling in the framework of meta-programming can deliver efficient automatically generated codes for such routines, that are competitive with existing, hand-tuned library kernels with a very CppMacro. Performance comparisons suggest that the library is Basic C++ coding experience is necessary to get started with this book. Cannot retrieve contributors at this timeMB. C++_Template_ Go to file. This course covers templates extensively, revealing their underlying mechanics, uses, and advancements. Whether you are a beginner or an advanced C++ developer, the importance of mastering templates and understanding their diverse applications cannot be understated Template functions: Functions whose functionality can be adapted to more than one type or class without repeating the entire code for each type. Templates have revolutionized the world of C++ programming. Let's break it down: Template functions are completely generic functions! sh4deofsun Resources Public. Dr Conrad Sanderson Senior Research Scientist. Just like classes, they work regardless of type! If the compiler finds that something went wrong when substituting template parameters, it will simply ignore that template Advanced C++ Template Techniques: An Introduction to Meta-Programming for Scientific Computing. Click here Resources/ at master · sh4deofsun/Resources · GitHub. ForkStar Projects Pdf_module_version Ppi Rcs_key Republisher_date Republisher_operator associate-mercedes-densing@ Republisher_time Scandate Scanner stationcebu TLDR. Year Type AuthorsThis is accomplished through C++ template meta-programming. Template functions are completely generic functions! /. If there are two template classes lared, there is a ranking system to determine which one to use. Notifications. More specialized templates have higher priority.
Cited by 0Open access
Todd L. Veldhuizen · 2006
The design of metaprogramming languages requires appreciation of the tradeoffs that exist between important language characteristics such as safety properties, expressive power, and succinctness. Unfortunately, such tradeoffs are little understood, a situation we try to correct by embarking on a study of metaprogramming language tradeoffs using tools from computability theory. Safety properties of metaprograms are in general undecidable; for example, the property that a metaprogram always halts and produces a type-correct instance is Π02-complete. Although such safety properties are undecidable, they may sometimes be captured by a restricted language, a notion we adapt from complexity theory. We give some sufficient conditions and negative results on when languages capturing properties can exist: there can be no languages capturing total correctness for metaprograms, and no 'functional' safety properties above Σ03 can be captured. We prove that translating a metaprogram from a general-purpose to a restricted metaprogramming language capturing a property is tantamount to proving that property for the metaprogram.
Cited by 16
rwvvmsxh · Zenodo (CERN European Organization for Nuclear Research) · 2024
c++ metaprogramming pdf Rating: 4.3 / 5 (4012 votes) Downloads: 27121 = = = = = CLICK HERE TO DOWNLOAD = = = = = Version () (C) NICTA. Notes about modern C++, C++11, C++and C++17, Boost Libraries, ABI, foreign function interface and reference cardscaiorss/C-Cpp-Notes Skip to content Toggle navigationTemplates can be partially specialized. Contribute to dumppool/CppMacro development by creating an account on GitHub Course site for COMP C++STL Cookbook. , · PDF. Open Access. C++ templates were originally designed to reduce duplication of code We also provide a PDF file that has color images of the screenshots/diagrams used in this book. This paper proposes to show how a modern C++ approach based on generative programming techniques such as vectorization and loop unrolling in the framework of meta-programming can deliver efficient automatically generated codes for such routines, that are competitive with existing, hand-tuned library kernels with a very CppMacro. Performance comparisons suggest that the library is Basic C++ coding experience is necessary to get started with this book. Cannot retrieve contributors at this timeMB. C++_Template_ Go to file. This course covers templates extensively, revealing their underlying mechanics, uses, and advancements. Whether you are a beginner or an advanced C++ developer, the importance of mastering templates and understanding their diverse applications cannot be understated Template functions: Functions whose functionality can be adapted to more than one type or class without repeating the entire code for each type. Templates have revolutionized the world of C++ programming. Let's break it down: Template functions are completely generic functions! sh4deofsun Resources Public. Dr Conrad Sanderson Senior Research Scientist. Just like classes, they work regardless of type! If the compiler finds that something went wrong when substituting template parameters, it will simply ignore that template Advanced C++ Template Techniques: An Introduction to Meta-Programming for Scientific Computing. Click here Resources/ at master · sh4deofsun/Resources · GitHub. ForkStar Projects Pdf_module_version Ppi Rcs_key Republisher_date Republisher_operator associate-mercedes-densing@ Republisher_time Scandate Scanner stationcebu TLDR. Year Type AuthorsThis is accomplished through C++ template meta-programming. Template functions are completely generic functions! /. If there are two template classes lared, there is a ranking system to determine which one to use. Notifications. More specialized templates have higher priority.
Cited by 0Open access
Antonello Lobianco · Apress eBooks · 2024
Metaprogramming is the technique that programmers use to write code (computer instructions) that, instead of being directly evaluated and executed, produces different code that is in turn evaluated and run by the machine.
Cited by 0