Efficient Implementation of Run-Time Generic Types for Java
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
ML Module Mania: a Type-Safe, Separately Compiled, Extensible Interpreter
ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Ramsey, Norman. 2005. ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter. Harvard Computer Science Group Technical Report TR-11-05. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:25104737 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA ¡¢ £¥¤§¦©¨ © ¥ ! " $# %& !'( *)+ %¨,.-/£102©¨ 3¤4#576¥)+ %&8+9©¨ :1)+ 3';&'( )< %' =?>A@CBEDAFHG7DABJILKM GPORQQSOUT3V N W >BYXZ*[CK\@7]_^\`aKbF!^\K/c@C>ZdX eDf@hgiDf@kjmlnF!`ogpKb@CIh`q[UM W DABsr!@k`ajdtKAu!vwDAIhIkDi^Rx_Z!ILK[h[SI ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter Norman Ramsey Division of Engineering and Applied Sciences Harvard University Abstract An application that uses an embedded interpreter is writ- ten in two languages: Most code is written in the original, The new embedded interpreter Lua-ML combines extensi- host language (e.g., C, C++, or ML), but key parts can be bility and separate compilation without compromising type written in the embedded language. This organization has safety. The interpreter’s types are extended by applying a several benefits: sum constructor to built-in types and to extensions, then • Complex command-line arguments aren’t needed; the tying a recursive knot using a two-level type; the sum con- embedded language can be used on the command line. -
Tierless Web Programming in ML Gabriel Radanne
Tierless Web programming in ML Gabriel Radanne To cite this version: Gabriel Radanne. Tierless Web programming in ML. Programming Languages [cs.PL]. Université Paris Diderot (Paris 7), 2017. English. tel-01788885 HAL Id: tel-01788885 https://hal.archives-ouvertes.fr/tel-01788885 Submitted on 9 May 2018 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. Distributed under a Creative Commons Attribution - NonCommercial - ShareAlike| 4.0 International License Thèse de doctorat de l’Université Sorbonne Paris Cité Préparée à l’Université Paris Diderot au Laboratoire IRIF Ecole Doctorale 386 — Science Mathématiques De Paris Centre Tierless Web programming in ML par Gabriel Radanne Thèse de Doctorat d’informatique Dirigée par Roberto Di Cosmo et Jérôme Vouillon Thèse soutenue publiquement le 14 Novembre 2017 devant le jury constitué de Manuel Serrano Président du Jury Roberto Di Cosmo Directeur de thèse Jérôme Vouillon Co-Directeur de thèse Koen Claessen Rapporteur Jacques Garrigue Rapporteur Coen De Roover Examinateur Xavier Leroy Examinateur Jeremy Yallop Examinateur This work is licensed under a Creative Commons “Attribution- NonCommercial-ShareAlike 4.0 International” license. Abstract Eliom is a dialect of OCaml for Web programming in which server and client pieces of code can be mixed in the same file using syntactic annotations. -
Chapter 13 Encapsulation Chapter Overview
Chapter 13 Encapsulation Chapter Overview • How do I package up implementation details so that a user doesn't have to worry about them? • How do I make my code easier to read, understand, modify, and maintain? Good design separates use from implementation. Java provides many mechanisms for accomplishing this. In this chapter, we review a variety of mechanisms that allow this sort of separation. Procedural abstraction is the idea that each method should have a coherent conceptual description that separates its implementation from its users. You can encapsulate behavior in methods that are internal to an object or methods that are widely usable. Methods should not be too complex or too long. Procedural abstraction makes your code easier to read, understand, modify, and reuse. Packages allow a large program to be subdivided into groups of related classes and instances. Packages separate the names of classes, so that more than one class in a program may have a given name as long as they occur in different packages. In addition to their role in naming, packages have a role as visibility protectors. Packages provide visibility levels intermediate between public and private. Packages can also be combined with inheritance or with interfaces to provide additional encapsulation and separation of use from implementation. © 2002 Lynn Andrea Stein. Reproduced with permission from Interactive Programming in Java. This chapter is excerpted from a draft of Interactive Programming In Java, a forthcoming textbook from Morgan Kaufmann Publishers. It is an element of the course materials developed as part of Lynn Andrea Stein's Rethinking CS101 Project at Franklin W. -
Seaflow Language Reference Manual Rohan Arora, Junyang Jin, Ho Sanlok Lee, Sarah Seidman Ra3091, Jj3132, Hl3436, Ss5311
Seaflow Language Reference Manual Rohan Arora, Junyang Jin, Ho Sanlok Lee, Sarah Seidman ra3091, jj3132, hl3436, ss5311 1 Introduction 3 2 Lexical Conventions 3 2.1 Comments 3 2.2 Identifiers 3 2.3 Keywords 3 2.4 Literals 3 3 Expressions and Statements 3 3.1 Expressions 4 3.1.1 Primary Expressions 4 3.1.1 Operators 4 3.1.2 Conditional expression 4 3.4 Statements 5 3.4.1 Declaration 5 3.4.2 Immutability 5 3.4.3 Observable re-assignment 5 4 Functions Junyang 6 4.1 Declaration 6 4.2 Scope rules 6 4.3 Higher Order Functions 6 5 Observables 7 5.1 Declaration 7 5.2 Subscription 7 5.3 Methods 7 6 Conversions 9 1 Introduction Seaflow is an imperative language designed to address the asynchronous event conundrum by supporting some of the core principles of ReactiveX and reactive programming natively. Modern applications handle many asynchronous events, but it is difficult to model such applications using programming languages such as Java and JavaScript. One popular solution among the developers is to use ReactiveX implementations in their respective languages to architect event-driven reactive models. However, since Java and JavaScript are not designed for reactive programming, it leads to complex implementations where multiple programming styles are mixed-used. Our goals include: 1. All data types are immutable, with the exception being observables, no pointers 2. The creation of an observable should be simple 3. Natively support core principles in the ReactiveX specification 2 Lexical Conventions 2.1 Comments We use the characters /* to introduce a comment, which terminates with the characters */. -
JNI – C++ Integration Made Easy
JNI – C++ integration made easy Evgeniy Gabrilovich Lev Finkelstein [email protected] [email protected] Abstract The Java Native Interface (JNI) [1] provides interoperation between Java code running on a Java Virtual Machine and code written in other programming languages (e.g., C++ or assembly). The JNI is useful when existing libraries need to be integrated into Java code, or when portions of the code are implemented in other languages for improved performance. The Java Native Interface is extremely flexible, allowing Java methods to invoke native methods and vice versa, as well as allowing native functions to manipulate Java objects. However, this flexibility comes at the expense of extra effort for the native language programmer, who has to explicitly specify how to connect to various Java objects (and later to disconnect from them, to avoid resource leak). We suggest a template-based framework that relieves the C++ programmer from most of this burden. In particular, the proposed technique provides automatic selection of the right functions to access Java objects based on their types, automatic release of previously acquired resources when they are no longer necessary, and overall simpler interface through grouping of auxiliary functions. Introduction The Java Native Interface1 is a powerful framework for seamless integration between Java and other programming languages (called “native languages” in the JNI terminology). A common case of using the JNI is when a system architect wants to benefit from both worlds, implementing communication protocols in Java and computationally expensive algorithmic parts in C++ (the latter are usually compiled into a dynamic library, which is then invoked from the Java code). -
Difference Between Method Declaration and Signature
Difference Between Method Declaration And Signature Asiatic and relaxed Dillon still terms his tacheometry namely. Is Tom dirt or hierarchal after Zyrian Nelson hasting so variously? Heterozygous Henrique instals terribly. Chapter 15 Functions. How junior you identify a function? There play an important difference between schedule two forms of code block seeing the. Subroutines in C and Java are always expressed as functions methods which may. Only one params keyword is permitted in a method declaration. Complex constant and so, where you declare checked exception parameters which case, it prompts the method declaration group the habit of control passes the positional. Overview of methods method parameters and method return values. A whole object has the cash public attributes and methods. Defining Methods. A constant only be unanimous a type explicitly by doing constant declaration or. As a stop rule using prototypes is the preferred method as it. C endif Class HelloJNI Method sayHello Signature V JNIEXPORT. Method signature It consists of the method name just a parameter list window of. As I breathe in the difference between static and dynamic binding static methods are. Most electronic signature solutions in the United States fall from this broad. DEPRECATED Method declarations with type constraints and per source filter. Methods and Method Declaration in Java dummies. Class Methods Apex Developer Guide Salesforce Developers. Using function signatures to remove a library method Function signatures are known important snapshot of searching for library functions The F libraries. Many different kinds of parameters with rather subtle semantic differences. For addition as real numbers the distinction is somewhat moot because is. -
Data Types Are Values
Data Types Are Values James Donahue Alan Demers Data Types Are Values James Donahue Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 Alan Demers Computer Science Department Cornell University Ithaca, New York 14853 CSL -83-5 March 1984 [P83-00005] © Copyright 1984 ACM. All rights reserved. Reprinted with permission. A bst ract: An important goal of programming language research is to isolate the fundamental concepts of languages, those basic ideas that allow us to understand the relationship among various language features. This paper examines one of these underlying notions, data type, with particular attention to the treatment of generic or polymorphic procedures and static type-checking. A version of this paper will appear in the ACM Transact~ons on Programming Languages and Systems. CR Categories and Subject Descriptors: 0.3 (Programming Languages), 0.3.1 (Formal Definitions and Theory), 0.3.3 (Language Constructs), F.3.2 (Semantics of Programming Languages) Additional Keywords and Phrases: data types, polymorphism XEROX Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 DATA TYPES ARE VALVES 1 1. Introduction An important goal of programming language research is to isolate the fundamental concepts of languages, those basic ideas that allow us to understand the relationship among various language features. This paper examines one of these underlying notions, data type, and presents a meaning for this term that allows us to: describe a simple treatment of generic or polymorphic procedures that preserves full static type-checking and allows unrestricted use of recursion; and give a precise meaning to the phrase strong typing, so that Language X is strongly typed can be interpreted as a critically important theorem about the semantics of the language. -
Exploring Languages with Interpreters and Functional Programming Chapter 22
Exploring Languages with Interpreters and Functional Programming Chapter 22 H. Conrad Cunningham 5 November 2018 Contents 22 Overloading and Type Classes 2 22.1 Chapter Introduction . .2 22.2 Polymorphism in Haskell . .2 22.3 Why Overloading? . .2 22.4 Defining an Equality Class and Its Instances . .4 22.5 Type Class Laws . .5 22.6 Another Example Class Visible ..................5 22.7 Class Extension (Inheritance) . .6 22.8 Multiple Constraints . .7 22.9 Built-In Haskell Classes . .8 22.10Comparison to Other Languages . .8 22.11What Next? . .9 22.12Exercises . 10 22.13Acknowledgements . 10 22.14References . 11 22.15Terms and Concepts . 11 Copyright (C) 2017, 2018, H. Conrad Cunningham Professor of Computer and Information Science University of Mississippi 211 Weir Hall P.O. Box 1848 University, MS 38677 (662) 915-5358 Browser Advisory: The HTML version of this textbook requires use of a browser that supports the display of MathML. A good choice as of November 2018 is a recent version of Firefox from Mozilla. 1 22 Overloading and Type Classes 22.1 Chapter Introduction Chapter 5 introduced the concept of overloading. Chapters 13 and 21 introduced the related concepts of type classes and instances. The goal of this chapter and the next chapter is to explore these concepts in more detail. The concept of type class was introduced into Haskell to handle the problem of comparisons, but it has had a broader and more profound impact upon the development of the language than its original purpose. This Haskell feature has also had a significant impact upon the design of subsequent languages (e.g. -
Cross-Platform Language Design
Cross-Platform Language Design THIS IS A TEMPORARY TITLE PAGE It will be replaced for the final print by a version provided by the service academique. Thèse n. 1234 2011 présentée le 11 Juin 2018 à la Faculté Informatique et Communications Laboratoire de Méthodes de Programmation 1 programme doctoral en Informatique et Communications École Polytechnique Fédérale de Lausanne pour l’obtention du grade de Docteur ès Sciences par Sébastien Doeraene acceptée sur proposition du jury: Prof James Larus, président du jury Prof Martin Odersky, directeur de thèse Prof Edouard Bugnion, rapporteur Dr Andreas Rossberg, rapporteur Prof Peter Van Roy, rapporteur Lausanne, EPFL, 2018 It is better to repent a sin than regret the loss of a pleasure. — Oscar Wilde Acknowledgments Although there is only one name written in a large font on the front page, there are many people without which this thesis would never have happened, or would not have been quite the same. Five years is a long time, during which I had the privilege to work, discuss, sing, learn and have fun with many people. I am afraid to make a list, for I am sure I will forget some. Nevertheless, I will try my best. First, I would like to thank my advisor, Martin Odersky, for giving me the opportunity to fulfill a dream, that of being part of the design and development team of my favorite programming language. Many thanks for letting me explore the design of Scala.js in my own way, while at the same time always being there when I needed him. -
Functional C
Functional C Pieter Hartel Henk Muller January 3, 1999 i Functional C Pieter Hartel Henk Muller University of Southampton University of Bristol Revision: 6.7 ii To Marijke Pieter To my family and other sources of inspiration Henk Revision: 6.7 c 1995,1996 Pieter Hartel & Henk Muller, all rights reserved. Preface The Computer Science Departments of many universities teach a functional lan- guage as the first programming language. Using a functional language with its high level of abstraction helps to emphasize the principles of programming. Func- tional programming is only one of the paradigms with which a student should be acquainted. Imperative, Concurrent, Object-Oriented, and Logic programming are also important. Depending on the problem to be solved, one of the paradigms will be chosen as the most natural paradigm for that problem. This book is the course material to teach a second paradigm: imperative pro- gramming, using C as the programming language. The book has been written so that it builds on the knowledge that the students have acquired during their first course on functional programming, using SML. The prerequisite of this book is that the principles of programming are already understood; this book does not specifically aim to teach `problem solving' or `programming'. This book aims to: ¡ Familiarise the reader with imperative programming as another way of imple- menting programs. The aim is to preserve the programming style, that is, the programmer thinks functionally while implementing an imperative pro- gram. ¡ Provide understanding of the differences between functional and imperative pro- gramming. Functional programming is a high level activity. -
Declare Private Function Python
Declare Private Function Python Chloritic and barricaded Garrott never drabblings his purity! Is Yaakov always excretive and podgiest invalidationswhen pierces or some platinizes plethora obediently. very overfreely and mercifully? Unjustifiable Corwin usually plans some What is declared as a syntax is generally works, because class has expressed a static methods of a different types, compiled programming blog? Curated by eminent Real Python team. They declared private functions or python performs name, functionality to declare the declaration of their meaning of the module containing these knights the scope. These function access private using ruby it clear what is python offer ways depending on these parameters after me i do not declare attributes. This function declaration of python is declared inside a keyword __________ is used as a strictly service provider on the functionality of the child class hierarchy. When using a descriptor the bunch is actually declared at the class level. Private methods are those methods that reason neither be accessed outside the class nor by native base class. Migrate and private functions in a private, declaring the declaration followed by. What are Python Arrays and dent to wage them? Run your code style of requests to adjust the private resources allocated memory allocation underlies python code that are all can call private in traditional oop. In python spyder ide support any time the same object and being clever and on the variable arguments to use it, we have to. They declared private functions, declaring or the declaration followed too, descending down the objects? Instance of the defined by instantiating class definition of complexity of universities for overloading methods names and declare private function python. -
Julia: a Modern Language for Modern ML
Julia: A modern language for modern ML Dr. Viral Shah and Dr. Simon Byrne www.juliacomputing.com What we do: Modernize Technical Computing Today’s technical computing landscape: • Develop new learning algorithms • Run them in parallel on large datasets • Leverage accelerators like GPUs, Xeon Phis • Embed into intelligent products “Business as usual” will simply not do! General Micro-benchmarks: Julia performs almost as fast as C • 10X faster than Python • 100X faster than R & MATLAB Performance benchmark relative to C. A value of 1 means as fast as C. Lower values are better. A real application: Gillespie simulations in systems biology 745x faster than R • Gillespie simulations are used in the field of drug discovery. • Also used for simulations of epidemiological models to study disease propagation • Julia package (Gillespie.jl) is the state of the art in Gillespie simulations • https://github.com/openjournals/joss- papers/blob/master/joss.00042/10.21105.joss.00042.pdf Implementation Time per simulation (ms) R (GillespieSSA) 894.25 R (handcoded) 1087.94 Rcpp (handcoded) 1.31 Julia (Gillespie.jl) 3.99 Julia (Gillespie.jl, passing object) 1.78 Julia (handcoded) 1.2 Those who convert ideas to products fastest will win Computer Quants develop Scientists prepare algorithms The last 25 years for production (Python, R, SAS, DEPLOY (C++, C#, Java) Matlab) Quants and Computer Compress the Scientists DEPLOY innovation cycle collaborate on one platform - JULIA with Julia Julia offers competitive advantages to its users Julia is poised to become one of the Thank you for Julia. Yo u ' v e k i n d l ed leading tools deployed by developers serious excitement.