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Dynamics for ML Using Meta-Programming
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Electronic Notes in Theoretical Computer Science 264 (5) (2011) 3–21 www.elsevier.com/locate/entcs Dynamics for ML using Meta-Programming Thomas Gazagnaire INRIA Sophia Antipolis-M´editerran´ee, 2004 Route des Lucioles, BP 93, 06902 Sophia Antipolis Cedex, France [email protected] Anil Madhavapeddy Computer Laboratory, 15 JJ Thomson Avenue, Cambridge CB3 0FD, UK [email protected] Abstract We present the design and implementation of dynamic type and value introspection for the OCaml language. Unlike previous attempts, we do not modify the core compiler or type-checker, and instead use the camlp4 metaprogramming tool to generate appropriate definitions at compilation time. Our dynamics library significantly eases the task of generating generic persistence and I/O functions in OCaml programs, without requiring the full complexity of fully-staged systems such as MetaOCaml. As a motivating use of the library, we describe a SQL backend which generates type-safe functions to persist and retrieve values from a relational database, without requiring programmers to ever use SQL directly. Keywords: ocaml, metaprogramming, generative, database, sql, dynamics 1 Introduction One of the great advantages of programming languages inheriting the Hindley- Milner type system [6,17]suchasOCaml[12] or Haskell [11] is the conciseness and expressiveness of their type language. For example, sum types in these languages are very natural to express and use when coupled with pattern-matching. These concepts can be translated to C or Java, but at the price of a costly and unnatural encoding. -
Redalyc.Computer Programming for Research and Application: Livecode
Revista Mexicana de Análisis de la Conducta ISSN: 0185-4534 [email protected] Sociedad Mexicana de Análisis de la Conducta México Potter, Bill; Roy, Rosanne; Bianchi, Shannon Computer programming for research and application: livecode development environment Revista Mexicana de Análisis de la Conducta, vol. 40, núm. 2, septiembre, 2014, pp. 154-191 Sociedad Mexicana de Análisis de la Conducta Distrito Federal, México Available in: http://www.redalyc.org/articulo.oa?id=59335811011 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative REVISTA MEXICANA DE ANÁLISIS DE LA CONDUCTA 2014 NÚMERO 2 (SEPTIemBre) MEXICAN JOURNAL OF BEHAVIOR ANALYSIS VOL. 40, 154-191 NUMBER 2 (SEPTemBer) COMPUTER PROGRAMMING FOR RESEARCH AND APPLICATION: LIVECODE DEVELOPMENT ENVIRONMENT PROGRAMACIÓN DE COMPUTADORAS PARA INVESTIGACIÓN Y APLICACIÓN: ENTORNO DE DESARROLLO LIVECODE BILL POTTER, ROSANNE ROY AND SHANNON BIANCHI CALIfornIA STATE UNIverSITY, STanISLauS Abstract This paper provides an overview of the advantages that a behavior analyst might ob- tain from learning to program computers. A powerful, yet relatively easy to learn programming platform called LiveCode is reviewed and a tutorial is provided on the basics of the platform. A variety of Behavior Analytic applications created using Live- Code are discussed and a sample receptive identification program is provided as an illustration of the efficiency LiveCode offers in developing such prototypes quickly for application or research. Keywords: behavior analysis, computers, programming, LiveCode, research Resumen El presente trabajo proporciona una visión general de las ventajas que un analista de la conducta podría obtener de aprender a programar computadoras. -
Functional Pls Introduction to Haskell
Thoughts on Assignment 4 PL Category: Functional PLs Introduction to Haskell CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Friday, February 22, 2019 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks [email protected] © 2017–2019 Glenn G. Chappell Thoughts on Assignment 4 Introduction In Assignment 4 you will be writing a Recursive-Descent parser, in the form of Lua module parseit. It will be similar to module rdparser4 (written in class), but it will involve a different grammar & AST specification. In Assignment 6 you will write an interpreter that takes, as input, an AST of the form your parser returns. The result will be an implementation of a programming language called Jerboa. Module parseit is to parse a complete programming language, while module rdparser4 only parses expressions. Nonetheless, Jerboa has expressions, and they work in much the same way as those handled by rdparser4. I suggest using file rdparser4.lua as a starting point for Assignment 4. 22 Feb 2019 CS F331 / CSCE A331 Spring 2019 2 Thoughts on Assignment 4 The Goal Here is a sample Jerboa program, again. # Function fibo # Main Program # Given k, return F(k), where # F(n) = nth Fibonacci no. # Get number of Fibos to output def fibo() write("How many Fibos to print? ") a = 0 # Consecutive Fibos n = readnum() b = 1 write(cr) i = 0 # Loop counter while i < k # Print requested number of Fibos c = a+b # Advance j = 0 # Loop counter a = b while j < n b = c k = j i = i+1 # ++counter write("F(",j,") -
Introduction to Sqlite and Its Usage with Python 1. Sqlite : Sqlite Is A
SQLite Dhananjay(123059008) Introduction to Sqlite and its usage with python 1. Sqlite : SQLite is a software library that implements a self-contained, serverless, zero- configuration, transactional SQL database engine. SQLite is the most widely deployedSQL database engine in the world. SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. To install : $ sudo apt-get install sqlite3 libsqlite3-dev To create a data base, we only need to create a empty file : $ touch ex1.db To connect to database through sqlite : $ sqlite3 ex1.db There are various shells and command lines available for manipulating Sqlite databases. 2. SQLite Database browser It is a light GUI editor for SQLite databases. It can be used as a basic database management system. 3. Using python library sqlite for manipulating databases : SQLite is a C library that provides a lightweight disk-based database that doesn’t require a separate server process and allows accessing the database using a nonstandard variant of the SQL query language. Some applications can use SQLite for internal data storage. It’s also possible to prototype an application using SQLite and then port the code to a larger database such as PostgreSQL or Oracle. SQLite Dhananjay(123059008) import sqlite3 conn = sqlite3.connect('example.db') c = conn.cursor() c.execute('''CREATE TABLE stocks (date text, trans text, symbol text, qty real, price real)''') c.execute("INSERT INTO stocks VALUES ('2006-01- 05','BUY','RHAT',100,35.14)") conn.commit() conn.close() Above script is a simple demo of ‘how to connect to a Sqlute db using puthon’. -
Sqlite Dump Without Schema
Sqlite Dump Without Schema Rodrick unpeopling thermochemically? Autogamous and burst Emanuel check almost hurry-scurry, though Andre inundated his hominidae request. Rident Cobbie electrocuted very huskily while Chandler remains low-key and sickly. The functions are many popular formats, without sqlite schema dump tables in a good chance of sql will generate text file with up your db clear and create table You who check created tables by following commands fist in command line circuit in SQLite command line sqlite3 gamadb sqlite tables Output. To format the world with sqlite tutorial, without sqlite dump schema and are now i thought i increase the. The database schema in an SQLite database is stored ina special table. Using SQLite MoonPoint Support. Application successfully installed devices without going to dump file called. Sqlite3 mysqlitefiledb sqlite output pathtomyoutputfilesql. How To porter The SQLite Dump Command SQLite Tutorial. Impexpc File Reference ch-wernerde. Sqlite commands before it was able to any given json, without sqlite dump file size is how can execute sql? Convert SQLite database to Postgres database like Science. Whenever the without sqlite schema dump command line consists of the table in the support is the last row in list is highly complex peewee. Ram that schema dump command without actually finding and. Trying to know when concatenating character types are dumped db clear, break if start of. Schema Generator MikroORM. Can also crumb the following command which restrict output the file directly. MySQL How you dump a MySQL database and export schema. SQLite Jason L Froebe Tech tips and How Tos for Fellow. -
ADOBE AIR SDK RELEASE NOTES Version 33.1.1.190
Public 1(21) ADOBE AIR SDK RELEASE NOTES Version 33.1.1.190 Adobe AIR SDK Release Notes Version 33.1.1.190 Date 10 July 2020 Document ID HCS19-000287 Owner Andrew Frost Copyright © 2020 HARMAN Connected Services Document Id: HCS19-000287 All rights reserved. Public 2(21) ADOBE AIR SDK RELEASE NOTES Version 33.1.1.190 Table of contents 1 Purpose of the Release ..................................................................... 3 2 Release Information .......................................................................... 4 2.1 Delivery Method ................................................................................... 4 2.2 The Content of the Release ................................................................. 4 2.3 AIR for Flex users ................................................................................ 5 3 Changes and Issues .......................................................................... 6 3.1 Changes in this Release ...................................................................... 6 3.2 Known Problems ................................................................................. 6 3.3 Previous Changes ............................................................................... 7 4 Updating tools/IDEs to support 64-bit ARM .................................. 12 4.1 AIR Developer Tool ........................................................................... 12 4.2 ADT Architecture Configuration ......................................................... 12 4.3 Flash Builder .................................................................................... -
Comparison of Programming Languages
ECE326 PROGRAMMING LANGUAGES Lecture 1 : Course Introduction Kuei (Jack) Sun ECE University of Toronto Fall 2019 Course Instructor Kuei (Jack) Sun Contact Information Use Piazza Send me (Kuei Sun) a private post Not “Instructors”, otherwise the TAs will also see it http://piazza.com/utoronto.ca/fall2019/ece326 Sign up to the course to get access Office: PRA371 (office hours upon request only) Research Interests Systems programming, software optimization, etc. 2 Course Information Course Website http://fs.csl.toronto.edu/~sunk/ece326.html Lecture notes, tutorial slides, assignment handouts Quercus Grade posting, course evaluation, lab group sign-up! Piazza Course announcement, course discussion Assignment discussion Lab TAs will read and answer relevant posts periodically 3 Course Information No required textbook Exam questions will come from lectures, tutorials, and assignments See course website for suggested textbooks Lab sessions Get face-to-face help from a TA with your assignments Tutorials Cover supplementary materials not in lectures Go through sample problems that may appear on exams 4 Volunteer Notetakers Help your peers Improve your own notetaking skills Receive Certificate of Recognition Information: https://www.studentlife.utoronto.ca/as/note-taking Registration: https://clockwork.studentlife.utoronto.ca/custom/misc/home.aspx Notetakers needed for lectures and tutorials 5 Background Programming Languages A formal language consisting of a instructions to implement algorithms and perform -
Sqlite File.Sqlite Echo .Quit | Sqlite File.Sqlite • Note: You Have to Install Sqlite Separately from PHP, If You Want the Command Line Tool
SQLite A light, fast and transactional DBMS embedded in PHP 5 PHP Conference Québec 2006 Zak Greant ([email protected]) Managing Director, North America eZ systems Overview • Transactional (ACID) • Mostly Typeless (v2) / Advisory Typing (v3) • Small memory footprint (250 KiB or less) • Databases == files (or blocks of memory) • Database (or psuedo-table level) locking • No configuration • No access controls • Much of SQL92 (Non-)Licensing ** The author disclaims copyright to this material. ** In place of a legal notice, here is a blessing: ** ** May you do good and not evil. ** May you find forgiveness for yourself and forgive others. ** May you share freely, never taking more than you give. When to Use SQLite? (for PHP 5) • Data store for stand-alone apps • Moderate read (low write) traffic (<20 queries/ second avg. on commodity hardware) • More reads than writes • In short, 90+% of apps SQLite v3 Enhancements • A more compact format for database files • Manifest typing • BLOB support • Support for both UTF-8 and UTF-16 text • User-defined text collating sequences • 64-bit ROWIDs • Improved Concurrency Mostly Typeless CREATE TABLE book (author, title); INSERT INTO book (author, title) VALUES ('MySQL', 'Paul DuBois'); INSERT INTO book (author, title) VALUES (1, 2); # In 2.x, except for INTEGER PRIMARY KEY # columns # In 3.x, there is pseudo-typing Manifest Type CREATE TABLE who (name CHAR, age INT); INSERT INTO who (name, age) VALUES ('Zak', 33); INSERT INTO who (name, age) VALUES ('Rasmus', 'Round up to Fourty'); # Works, but 33 is stored as a native -
Analytická Řešení Vybraných Typů Diferenciálních Rovnic
VYSOKÉ UČENÍ TECHNICKÉ V BRNĚ BRNO UNIVERSITY OF TECHNOLOGY FAKULTA STROJNÍHO INŽENÝRSTVÍ FACULTY OF MECHANICAL ENGINEERING ÚSTAV AUTOMATIZACE A INFORMATIKY INSTITUTE OF AUTOMATION AND COMPUTER SCIENCE ANALYTICKÁ ŘEŠENÍ VYBRANÝCH TYPŮ DIFERENCIÁLNÍCH ROVNIC: SOFTWAROVÁ PODPORA PRO STUDENTY TECHNICKÝCH OBORŮ ANALYTICAL SOLUTIONS FOR SELECTED TYPES OF DIFFERENTIAL EQUATIONS: SOFTWARE SUPPORT TOOL FOR STUDENTS IN TECHNICAL FIELDS BAKALÁŘSKÁ PRÁCE BACHELOR'S THESIS AUTOR PRÁCE Daniel Neuwirth, DiS. AUTHOR VEDOUCÍ PRÁCE Ing. Jan Roupec, Ph.D. SUPERVISOR BRNO 2017 ABSTRAKT Cílem této práce bylo vytvořit počítačovou aplikaci s jednoduchým uživatelským rozhraním, určenou pro řešení vybraných typů diferenciálních rovnic, jejíž výstup není omezen na prosté zobrazení konečného výsledku, nýbrž zahrnuje i kompletní postup výpočtu, a díky tomu může sloužit jako podpůrná výuková pomůcka pro studenty vysokých škol. ABSTRACT The aim of this thesis was to create a computer application with a simple user interface for solving selected types of differential equations, whose output is not limited to display a final result only, but also includes a complete calculation procedure and therefore can serve as a supportive teaching aid for university students. KLÍČOVÁ SLOVA diferenciální rovnice, počítačový algebraický systém, programovací jazyk C++ KEYWORDS differential equation, computer algebra system, C++ programming language BIBLIOGRAFICKÁ CITACE NEUWIRTH, Daniel. Analytická řešení vybraných typů diferenciálních rovnic: softwarová podpora pro studenty technických oborů. Brno: Vysoké učení technické v Brně, Fakulta strojního inženýrství, 2017. 77 s. Vedoucí bakalářské práce Ing. Jan Roupec, Ph.D. PODĚKOVÁNÍ Rád bych poděkoval vedoucímu své bakalářské práce Ing. Janu Roupcovi, Ph.D. za odborné vedení při tvorbě této práce, za cenné rady a návrhy ke zlepšení, drobné korektury a zejména za jeho entuziasmus, se kterým k tomuto procesu přistupoval. -
Computer Programming for Research and Application: Livecode Development Environment
REVISTA MEXICANA DE ANÁLISIS DE LA CONDUCTA 2014 NÚMERO 2 (SEPTIemBre) MEXICAN JOURNAL OF BEHAVIOR ANALYSIS VOL. 40, 154-191 NUMBER 2 (SEPTemBer) COMPUTER PROGRAMMING FOR RESEARCH AND APPLICATION: LIVECODE DEVELOPMENT ENVIRONMENT PROGRAMACIÓN DE COMPUTADORAS PARA INVESTIGACIÓN Y APLICACIÓN: ENTORNO DE DESARROLLO LIVECODE BILL POTTER, ROSANNE ROY AND SHANNON BIANCHI CALIfornIA STATE UNIveRSITY, STanISLauS Abstract This paper provides an overview of the advantages that a behavior analyst might ob- tain from learning to program computers. A powerful, yet relatively easy to learn programming platform called LiveCode is reviewed and a tutorial is provided on the basics of the platform. A variety of Behavior Analytic applications created using Live- Code are discussed and a sample receptive identification program is provided as an illustration of the efficiency LiveCode offers in developing such prototypes quickly for application or research. Keywords: behavior analysis, computers, programming, LiveCode, research Resumen El presente trabajo proporciona una visión general de las ventajas que un analista de la conducta podría obtener de aprender a programar computadoras. Una plataforma de programación potente, pero relativamente fácil de aprender llamada LiveCode se revisa y se proporciona un tutorial con los fundamentos de la plataforma. Una varie- dad de aplicaciones enfocadas en el análisis de la conducta, creadas usando LiveCo- de, son discutidas y se describe la programación de un programa de igualación a la Bill Potter, Rosanne Roy, and Shannon Bianchi, Department of Psychology/Child Development, California State University, Stanislaus. Thanks to Patrick Williams for his help on this manuscript. In addition, thanks to the reviewers Hirofumi Shimizu and Carlos A. Pérez-Herrera for their thoughtful improvements to this manuscript. -
An ECMA-55 Minimal BASIC Compiler for X86-64 Linux®
Computers 2014, 3, 69-116; doi:10.3390/computers3030069 OPEN ACCESS computers ISSN 2073-431X www.mdpi.com/journal/computers Article An ECMA-55 Minimal BASIC Compiler for x86-64 Linux® John Gatewood Ham Burapha University, Faculty of Informatics, 169 Bangsaen Road, Tambon Saensuk, Amphur Muang, Changwat Chonburi 20131, Thailand; E-mail: [email protected] Received: 24 July 2014; in revised form: 17 September 2014 / Accepted: 1 October 2014 / Published: 1 October 2014 Abstract: This paper describes a new non-optimizing compiler for the ECMA-55 Minimal BASIC language that generates x86-64 assembler code for use on the x86-64 Linux® [1] 3.x platform. The compiler was implemented in C99 and the generated assembly language is in the AT&T style and is for the GNU assembler. The generated code is stand-alone and does not require any shared libraries to run, since it makes system calls to the Linux® kernel directly. The floating point math uses the Single Instruction Multiple Data (SIMD) instructions and the compiler fully implements all of the floating point exception handling required by the ECMA-55 standard. This compiler is designed to be small, simple, and easy to understand for people who want to study a compiler that actually implements full error checking on floating point on x86-64 CPUs even if those people have little programming experience. The generated assembly code is also designed to be simple to read. Keywords: BASIC; compiler; AMD64; INTEL64; EM64T; x86-64; assembly 1. Introduction The Beginner’s All-purpose Symbolic Instruction Code (BASIC) language was invented by John G. -
Spiderbasic Reference Manual 2.31
SpiderBasic Reference Manual 2.31 http://www.spiderbasic.com/ May 18, 2020 Contents I General4 1 Introduction 5 2 Terms And Conditions6 3 System requirements7 4 Installation 8 5 Order 9 6 Contact 11 7 Acknowledgements 12 II The SpiderBasic Editor 13 8 Getting Started 14 9 Working with source files 16 10 Editing features 18 11 Managing projects 24 12 Compiling your programs 29 13 Using the built-in Tools 35 14 Using external tools 43 15 Getting Help 48 16 Customizing the IDE 50 17 Command-line options for the IDE 65 III Language Reference 67 18 Working with different number bases 68 19 Break : Continue 72 20 Using the command line compiler 73 21 Compiler Directives 75 22 Compiler Functions 79 23 Data 84 1 24 Debugger keywords in SpiderBasic 86 25 Define 88 26 Dim 90 27 Enumerations 92 28 For : Next 94 29 ForEach : Next 96 30 General Rules 98 31 Global 101 32 Handles and Numbers 103 33 If : Else : EndIf 105 34 Import : EndImport 106 35 Includes Functions 107 36 Inline Javascript 109 37 Interfaces 111 38 Licenses for the SpiderBasic applications (without using 3D engine) 113 39 Macros 125 40 Pointers and memory access 128 41 Module 131 42 NewList 134 43 NewMap 136 44 Others Commands 138 45 Procedures 140 46 Protected 143 47 Prototypes 145 48 Repeat : Until 146 49 Residents 147 50 Runtime 148 51 Select : EndSelect 150 52 Using several SpiderBasic versions on Windows 152 53 Shared 153 54 SpiderBasic objects 154 55 Static 157 2 56 Structures 159 57 Subsystems 162 58 Variables and Types 163 59 While : Wend 172 60 With : EndWith 173 3 Part I General 4 Chapter 1 Introduction SpiderBasic is an ”high-level” programming language based on established ”BASIC” rules.