Putting it all together: LINQ as an Example

Size: px
Start display at page:

Download "Putting it all together: LINQ as an Example"

Transcription

1 Putting it all together: LINQ as an Example The Problem: SQL in Code Programs often connect to database servers. Database servers only speak SQL. Programs have to construct SQL strings. PHP example: if (some_condition()) { $q = mysql_query( select name from user were id = $id )... When will the problem be detected? 2

2 Searching in Collections Begin with a simple array of, say, Customers. Customer[] customers = new Customer[30]; customers[0] = new Customer( ); customers[29] = new Customer( ); 3 Searching in Collections: The Old Way Find the names of all London customers: List<string> londoners = new List<string>(); foreach (Customer c in customers) { if (c.city == London ) { londoners.add(c.name); 4

3 Searching in Collections: The LINQ Way Returns a simple array! string[] londoners = from c in customers where c.city == London select c.name; No loops! Declarative! SQL-like! 5 Searching in Collections: The LINQ Way LINQ is a C # feature Introduced in C # 3.0. LINQ = Language INtegrated Query So far, this is just list comprehension added to C #. What did it take to add list comprehension to the language?

4 LINQ: How Does It Work? LINQ syntax = shorthand for method invocation. Syntactic sugar, using Translation maps 7 Syntax Translation Example string[] londoners = from c in customers where c.city == London select c.name; string[] londoners = customers. Where(expression). Select(expression); 8

5 Expressions == Methods? Where() wants a Boolean method. The method acts as a filter. Likewise for Select(): a translation method. 9 Translating Expressions Problem: Translating c.city == London to a boolean expression e, such that Where(e) is valid? 10

6 C # Delegates C # delegates: method pointers. Since C # 1.0. class Demo { delegate void Foo(); void Bar() { do something ; void Test() { Foo mydelegate = new Foo(Bar); // pointer to Bar() mydelegate(); // invoke 11 Delegates as Arguments Delegates can be passed as arguments. Event handlers, jobs for threads, etc. class Demo { void Job() { the job to carry out ; void Test() { Thread worker = new Thread( new ThreadStart(Job)); worker.start(); 12

7 Anonymous Methods Nameless methods = on-the-fly delegates: class Demo { delegate void Foo(); void Test() { Foo mydelegate = delegate() { do something ; mydelegate(); // invoke 13 Syntax Translation Example string[] londoners = from c in customers where c.city == London select c.name; string[] londoners = customers. Where(delegate(Customer c) { return c.city == London ; ). Select(delegate(Customer c) { return c.name ); 14

8 Well, Not Really. Where(), etc. accept delegate methods. But LINQ creates lambda expressions. Seamless conversion via coercion. 15 Syntax Translation Example string[] londoners = from c in customers where c.city == London select c.name; string[] londoners = customers. Where(c => c.city == London ). Select(c => c.name); 16

9 Lambda Expressions Lambda expression syntax: Shades of ML (argumentlist) => expression oneargument => expression Arguments optionally typed. Type inference mechanism. More on that later 17 Where s Where()? We invoked Where() on Customers[]. On the resulting Customers[], we invoked Select(). New methods for arrays!? 18

10 Extension Methods class Utils { public static char firstchar(this string s) { return s.charat(0); So far, just a simple static method. Can be used like any other. 19 Extension Methods But now Using Utils; class Demo { void Foo() { string s = Hello ; Console.WriteLine(s.firstChar()); 20

11 Extension Methods Static methods that seem to extend existing types. Where(), Select(), etc. extend array types in this manner. 21 Query Your Own Types! LINQ can be applied to any type, not just built-in arrays and lists. Just implement Where(), Select(), etc. 22

12 LINQ and Relational Data Let s obtain a DB-table type, and query it. DbCustomers customers = new DbCustomers( my.mdb ); string[] londoners = from c in customers where c.city == London select c.name; 23 This Makes No Sense! But Where() applies the filter to every record. on the client! SELECT * FROM CUSTOMERS, and filter with a simple loop!? 24

13 Back To Lambda Expressions Lambda expressions can be converted to anonymous methods. Can also be coerced to expression trees. A run-time representation of the syntax tree. 25 Example Our code yields: string[] londoners = customers. Where(c => c.city == London ). Select(c => c.name); where customers is of type DbCustomers. No DbCustomers.Where(delegate(Customer c)) method exists. However: DbCustomers.Where( Expression<Func<Customer,bool>> xt) 26

14 What Are Expression Trees? Any valid expression is converted by the compiler to an expression tree. a.k.a. the abstract syntax tree of the expression. Normal part of the compilation process, in any language! Examples: * 2 c.city == London + == 5 *. (dot) London 3 2 c city 27 Expression Trees Normally, expression trees only exist at compile-time. In C #, the compiler can create a run-time representation of the expression tree. The language has a data type for expression trees. Represents lambda expressions at runtime. Used for generating SQL at runtime. Guaranteed to be syntactically valid, since it was created from a valid C # expression. 28

15 It s Just Coercion So, LINQ converts into expressions that use Where(...), Select(...), etc. For some classes, Where(...) and Select(...) accept delegates; for other classes, they accept expression trees. Lambda expressions can be coerced into either. 29 Projections Using LINQ s select: from c in customers where c.city == London select new AddressBookEntry(c.Name, c.phone); 30

16 Pre-Defined Types Only? But The projection type (e.g., AddressBookEntry) must be predefined! 31 Ad-Hoc Types new { [name 1 =] expr 1,, [ name n =] expr n Type implied by types of exprs. Example: If name is not specified, and expr is either property or x.property, then property s name will be used. from c in customers where c.city == London select new { c.name, c.phone ; 32

17 Ad-Hoc Types are Nameless How do we store the result???? q = from select new { ; The ad-hoc type is nameless! 33 Auto-Typed Variables var x = 7; // x will be of type int var q = from select new { ; // q will be an array of the anonymous type Console.WriteLine(q[0].Name); Local variables only. No auto-typing for fields or formal parameters. 34

18 Summary LINQ adds static SQL expression correctness to C #. To do this, the following features were added to C # : Lambda expressions. Extension methods. Expression types. List comprehension. Anonymous data types. Type inference. 35 There s More There are several LINQ features we did not present here, such as: Grouping ( GROUP BY in SQL) Joins (selecting from multiple tables)... These require even more language features, such as closures. 36

19 What Is Happening to Languages? As new features are added to programming languages, the languages evolve. Many of the features come from research or experimental languages. Note how many of the new C # features discussed here come from functional languages like ML, Haskell or LISP: Lambda expressions, expression types, list comprehension, anonymous data types, type inference Confessions of a Used Programming Language Salesman An 2007 essay by Eric Meijer (Microsoft). Discusses how features from functional languages slowly creep into mainstream languages. Functional programming has finally reached the masses, except that it is called Visual Basic 9 instead of Haskell

20 A Glimpse Into the Future: LISP (1958) We have seen the power of representing program source at runtime (expression trees). In LISP, program source can be represented at runtime, but also generated at runtime (or compile-time). Source code itself is a data structure (a list). LISP macros are light-years ahead of C/C++ macros. 39 A Glimpse Into the Future: LISP (1958) 50 years later, LISP features are slowly re-appearing in mainstream languages. e.g., garbage collection, aspect-oriented programming, and more. Conclusions: a. Learn from history. b. Know LISP, Haskell, etc: once you really understand them, it will give you serious advantages over ignorant software engineers (even if you never use these languages in practice). 40

Concepts behind the C# 3 language. Faculty of Mathematics and Physics, Charles University in Prague

Concepts behind the C# 3 language. Faculty of Mathematics and Physics, Charles University in Prague Concepts behind the C# 3 language TomášPetříček(tomas@tomasp.net) Faculty of Mathematics and Physics, Charles University in Prague 1 Introduction The C# 3 (currently available in preliminary version) is

More information

Previous C# Releases. C# 3.0 Language Features. C# 3.0 Features. C# 3.0 Orcas. Local Variables. Language Integrated Query 3/23/2007

Previous C# Releases. C# 3.0 Language Features. C# 3.0 Features. C# 3.0 Orcas. Local Variables. Language Integrated Query 3/23/2007 Previous C# Releases C# 3.0 Language Features C# Programming March 12, 2007 1.0 2001 1.1 2003 2.0 2005 Generics Anonymous methods Iterators with yield Static classes Covariance and contravariance for delegate

More information

C # Version 3.0 Specification

C # Version 3.0 Specification C # Version 3.0 Specification May 2006 Copyright Microsoft Corporation 2006. All Rights Reserved. Notice 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Visual Basic, Visual C#, and

More information

Functional programming in C#

Functional programming in C# Functional programming in C# A quick approach to another paradigm Nacho Iborra IES San Vicente This work is licensed under the Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License.

More information

Closures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming

Closures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming Closures Mooly Sagiv Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming Summary 1. Predictive Parsing 2. Large Step Operational Semantics (Natural) 3. Small Step Operational Semantics

More information

Final-Term Papers Solved MCQS with Reference

Final-Term Papers Solved MCQS with Reference Solved MCQ(S) From FinalTerm Papers BY Arslan Jan 14, 2018 V-U For Updated Files Visit Our Site : Www.VirtualUstaad.blogspot.com Updated. Final-Term Papers Solved MCQS with Reference 1. The syntax of PHP

More information

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen COP4020 Programming Languages Functional Programming Prof. Robert van Engelen Overview What is functional programming? Historical origins of functional programming Functional programming today Concepts

More information

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7

Scheme. Functional Programming. Lambda Calculus. CSC 4101: Programming Languages 1. Textbook, Sections , 13.7 Scheme Textbook, Sections 13.1 13.3, 13.7 1 Functional Programming Based on mathematical functions Take argument, return value Only function call, no assignment Functions are first-class values E.g., functions

More information

JavaScript: Sort of a Big Deal,

JavaScript: Sort of a Big Deal, : Sort of a Big Deal, But Sort of Quirky... March 20, 2017 Lisp in C s Clothing (Crockford, 2001) Dynamically Typed: no static type annotations or type checks. C-Like Syntax: curly-braces, for, semicolons,

More information

Control in Sequential Languages

Control in Sequential Languages CS 242 2012 Control in Sequential Languages Reading: Chapter 8, Sections 8.1 8.3 (only) Section 7.3 of The Haskell 98 Report, Exception Handling in the I/O Monad, http://www.haskell.org/onlinelibrary/io-13.html

More information

LinQ Why we have to teach functional programmming

LinQ Why we have to teach functional programmming LinQ Why we have to teach functional programmming Axel T. Schreiner http://www.cs.rit.edu/~ats/talks/linq/ http://www.cs.rit.edu/~ats/cs-2006-1/14_linq.pdf Principles Map a query language to cascading

More information

Design Issues. Subroutines and Control Abstraction. Subroutines and Control Abstraction. CSC 4101: Programming Languages 1. Textbook, Chapter 8

Design Issues. Subroutines and Control Abstraction. Subroutines and Control Abstraction. CSC 4101: Programming Languages 1. Textbook, Chapter 8 Subroutines and Control Abstraction Textbook, Chapter 8 1 Subroutines and Control Abstraction Mechanisms for process abstraction Single entry (except FORTRAN, PL/I) Caller is suspended Control returns

More information

JavaScript: Coercion, Functions, Arrays

JavaScript: Coercion, Functions, Arrays JavaScript: Coercion, Functions, Arrays Computer Science and Engineering College of Engineering The Ohio State University Lecture 20 Conversion of Primitive Values String Number Boolean numbers 0 "0" false

More information

Introduction to LINQ. Paul Litwin Collaborative Data Services (CDS)

Introduction to LINQ. Paul Litwin Collaborative Data Services (CDS) Introduction to LINQ Paul Litwin Collaborative Data Services (CDS) plitwin@fhcrc.org 1 Agenda What is LINQ? Language Features Behind LINQ LINQ Basics LINQ to Objects LINQ to SQL Other LINQ providers 2

More information

Why do you want to know about functional programming?

Why do you want to know about functional programming? Why do you want to know about functional programming? A look at LinQ in C# and (perhaps) Java Axel T. Schreiner RIT Computer Science http://www.cs.rit.edu/~ats/talks/linq-ieee/ http://www.cs.rit.edu/~ats/cs-2006-1/14_linq.pdf

More information

INF3110 Programming Languages Runtime Organization part II

INF3110 Programming Languages Runtime Organization part II INF3110 Programming Languages Runtime Organization part II 10/13/16 1 Higher-Order Functions Language features Functions passed as arguments Functions that return functions from nested blocks Need to maintain

More information

Closures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming

Closures. Mooly Sagiv. Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming Closures Mooly Sagiv Michael Clarkson, Cornell CS 3110 Data Structures and Functional Programming t ::= x x. t t t Call-by-value big-step Operational Semantics terms variable v ::= values abstraction x.

More information

CSCI-GA Scripting Languages

CSCI-GA Scripting Languages CSCI-GA.3033.003 Scripting Languages 12/02/2013 OCaml 1 Acknowledgement The material on these slides is based on notes provided by Dexter Kozen. 2 About OCaml A functional programming language All computation

More information

Operating Systems CMPSCI 377, Lec 2 Intro to C/C++ Prashant Shenoy University of Massachusetts Amherst

Operating Systems CMPSCI 377, Lec 2 Intro to C/C++ Prashant Shenoy University of Massachusetts Amherst Operating Systems CMPSCI 377, Lec 2 Intro to C/C++ Prashant Shenoy University of Massachusetts Amherst Department of Computer Science Why C? Low-level Direct access to memory WYSIWYG (more or less) Effectively

More information

CS152 Programming Language Paradigms Prof. Tom Austin, Fall Syntax & Semantics, and Language Design Criteria

CS152 Programming Language Paradigms Prof. Tom Austin, Fall Syntax & Semantics, and Language Design Criteria CS152 Programming Language Paradigms Prof. Tom Austin, Fall 2014 Syntax & Semantics, and Language Design Criteria Lab 1 solution (in class) Formally defining a language When we define a language, we need

More information

Functional Programming and Haskell

Functional Programming and Haskell Functional Programming and Haskell Tim Dawborn University of Sydney, Australia School of Information Technologies Tim Dawborn Functional Programming and Haskell 1/22 What are Programming Paradigms? A programming

More information

CS 342 Lecture 6 Scheme Procedures and Closures By: Hridesh Rajan

CS 342 Lecture 6 Scheme Procedures and Closures By: Hridesh Rajan CS 342 Lecture 6 Scheme Procedures and Closures By: Hridesh Rajan 1 Reading Little Schemer Chapter 8 SICP 1, 3.2 2 Lecture Overview In this lecture, we will cover scheme procedures in a bit more detail

More information

Pierce Ch. 3, 8, 11, 15. Type Systems

Pierce Ch. 3, 8, 11, 15. Type Systems Pierce Ch. 3, 8, 11, 15 Type Systems Goals Define the simple language of expressions A small subset of Lisp, with minor modifications Define the type system of this language Mathematical definition using

More information

CSE 431S Type Checking. Washington University Spring 2013

CSE 431S Type Checking. Washington University Spring 2013 CSE 431S Type Checking Washington University Spring 2013 Type Checking When are types checked? Statically at compile time Compiler does type checking during compilation Ideally eliminate runtime checks

More information

Chapter 11 :: Functional Languages

Chapter 11 :: Functional Languages Chapter 11 :: Functional Languages Programming Language Pragmatics Michael L. Scott Copyright 2016 Elsevier 1 Chapter11_Functional_Languages_4e - Tue November 21, 2017 Historical Origins The imperative

More information

Semantic Analysis. Lecture 9. February 7, 2018

Semantic Analysis. Lecture 9. February 7, 2018 Semantic Analysis Lecture 9 February 7, 2018 Midterm 1 Compiler Stages 12 / 14 COOL Programming 10 / 12 Regular Languages 26 / 30 Context-free Languages 17 / 21 Parsing 20 / 23 Extra Credit 4 / 6 Average

More information

Asynchronous Functions in C#

Asynchronous Functions in C# Asynchronous Functions in C# Asynchronous operations are methods and other function members that may have most of their execution take place after they return. In.NET the recommended pattern for asynchronous

More information

Advances in Programming Languages

Advances in Programming Languages T O Y H Advances in Programming Languages APL10: Bridging Query and Programming Languages Ian Stark School of Informatics The University of Edinburgh Friday 29 October 2010 Semester 1 Week 6 E H U N I

More information

The role of semantic analysis in a compiler

The role of semantic analysis in a compiler Semantic Analysis Outline The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors

More information

R13 SET Discuss how producer-consumer problem and Dining philosopher s problem are solved using concurrency in ADA.

R13 SET Discuss how producer-consumer problem and Dining philosopher s problem are solved using concurrency in ADA. R13 SET - 1 III B. Tech I Semester Regular Examinations, November - 2015 1 a) What constitutes a programming environment? [3M] b) What mixed-mode assignments are allowed in C and Java? [4M] c) What is

More information

1. true / false By a compiler we mean a program that translates to code that will run natively on some machine.

1. true / false By a compiler we mean a program that translates to code that will run natively on some machine. 1. true / false By a compiler we mean a program that translates to code that will run natively on some machine. 2. true / false ML can be compiled. 3. true / false FORTRAN can reasonably be considered

More information

Lecture 4 Memory Management

Lecture 4 Memory Management Lecture 4 Memory Management Dr. Wilson Rivera ICOM 4036: Programming Languages Electrical and Computer Engineering Department University of Puerto Rico Some slides adapted from Sebesta s textbook Lecture

More information

CS 11 Haskell track: lecture 1

CS 11 Haskell track: lecture 1 CS 11 Haskell track: lecture 1 This week: Introduction/motivation/pep talk Basics of Haskell Prerequisite Knowledge of basic functional programming e.g. Scheme, Ocaml, Erlang CS 1, CS 4 "permission of

More information

Functional Languages. CSE 307 Principles of Programming Languages Stony Brook University

Functional Languages. CSE 307 Principles of Programming Languages Stony Brook University Functional Languages CSE 307 Principles of Programming Languages Stony Brook University http://www.cs.stonybrook.edu/~cse307 1 Historical Origins 2 The imperative and functional models grew out of work

More information

Structured bindings with polymorphic lambas

Structured bindings with polymorphic lambas 1 Introduction Structured bindings with polymorphic lambas Aaryaman Sagar (aary800@gmail.com) August 14, 2017 This paper proposes usage of structured bindings with polymorphic lambdas, adding them to another

More information

The SPL Programming Language Reference Manual

The SPL Programming Language Reference Manual The SPL Programming Language Reference Manual Leonidas Fegaras University of Texas at Arlington Arlington, TX 76019 fegaras@cse.uta.edu February 27, 2018 1 Introduction The SPL language is a Small Programming

More information

Recap: Functions as first-class values

Recap: Functions as first-class values Recap: Functions as first-class values Arguments, return values, bindings What are the benefits? Parameterized, similar functions (e.g. Testers) Creating, (Returning) Functions Iterator, Accumul, Reuse

More information

COMP 181. Agenda. Midterm topics. Today: type checking. Purpose of types. Type errors. Type checking

COMP 181. Agenda. Midterm topics. Today: type checking. Purpose of types. Type errors. Type checking Agenda COMP 181 Type checking October 21, 2009 Next week OOPSLA: Object-oriented Programming Systems Languages and Applications One of the top PL conferences Monday (Oct 26 th ) In-class midterm Review

More information

G Programming Languages - Fall 2012

G Programming Languages - Fall 2012 G22.2110-003 Programming Languages - Fall 2012 Lecture 4 Thomas Wies New York University Review Last week Control Structures Selection Loops Adding Invariants Outline Subprograms Calling Sequences Parameter

More information

Introduction to Functional Programming

Introduction to Functional Programming PART I TE RI AL Introduction to Functional Programming MA CHAPTER 1: A Look at Functional Programming History CO PY RI GH TE D CHAPTER 2: Putting Functional Programming into a Modern Context 1A Look at

More information

LECTURE 16. Functional Programming

LECTURE 16. Functional Programming LECTURE 16 Functional Programming WHAT IS FUNCTIONAL PROGRAMMING? Functional programming defines the outputs of a program as a mathematical function of the inputs. Functional programming is a declarative

More information

Anonymous Functions CMSC 330: Organization of Programming Languages

Anonymous Functions CMSC 330: Organization of Programming Languages Anonymous Functions CMSC 330: Organization of Programming Languages Recall code blocks in Ruby (1..10).each { x print x Here, we can think of { x print x as a function OCaml 2 Higher Order Functions 1

More information

Advanced Programming C# Lecture 10. dr inż. Małgorzata Janik

Advanced Programming C# Lecture 10. dr inż. Małgorzata Janik Advanced Programming C# Lecture 10 dr inż. Małgorzata Janik majanik@if.pw.edu.pl Winter Semester 2017/2018 Project (part II) Project part II Date: 18.12.2017 (next week!) Prepare the presentation that

More information

Compilers. Type checking. Yannis Smaragdakis, U. Athens (original slides by Sam

Compilers. Type checking. Yannis Smaragdakis, U. Athens (original slides by Sam Compilers Type checking Yannis Smaragdakis, U. Athens (original slides by Sam Guyer@Tufts) Summary of parsing Parsing A solid foundation: context-free grammars A simple parser: LL(1) A more powerful parser:

More information

An introduction to C++ template programming

An introduction to C++ template programming An introduction to C++ template programming Hayo Thielecke University of Birmingham http://www.cs.bham.ac.uk/~hxt March 2015 Templates and parametric polymorphism Template parameters Member functions of

More information

Type Inference. Prof. Clarkson Fall Today s music: Cool, Calm, and Collected by The Rolling Stones

Type Inference. Prof. Clarkson Fall Today s music: Cool, Calm, and Collected by The Rolling Stones Type Inference Prof. Clarkson Fall 2016 Today s music: Cool, Calm, and Collected by The Rolling Stones Review Previously in 3110: Interpreters: ASTs, evaluation, parsing Formal syntax Formal semantics

More information

C++11 and Compiler Update

C++11 and Compiler Update C++11 and Compiler Update John JT Thomas Sr. Director Application Developer Products About this Session A Brief History Features of C++11 you should be using now Questions 2 Bjarne Stroustrup C with Objects

More information

The Compiler So Far. CSC 4181 Compiler Construction. Semantic Analysis. Beyond Syntax. Goals of a Semantic Analyzer.

The Compiler So Far. CSC 4181 Compiler Construction. Semantic Analysis. Beyond Syntax. Goals of a Semantic Analyzer. The Compiler So Far CSC 4181 Compiler Construction Scanner - Lexical analysis Detects inputs with illegal tokens e.g.: main 5 (); Parser - Syntactic analysis Detects inputs with ill-formed parse trees

More information

A Programming Languages Course at Web Speed

A Programming Languages Course at Web Speed A Programming Languages Course at Web Speed Art Gittleman Computer Engineering and Computer Science Department California State University Long Beach Long Beach, CA, U.S.A. artg@csulb.edu Abstract - The

More information

Programming Languages

Programming Languages Programming Languages Tevfik Koşar Lecture - XIII March 2 nd, 2006 1 Roadmap Functional Languages Lambda Calculus Intro to Scheme Basics Functions Bindings Equality Testing Searching 2 1 Functional Languages

More information

Outline. Introduction Concepts and terminology The case for static typing. Implementing a static type system Basic typing relations Adding context

Outline. Introduction Concepts and terminology The case for static typing. Implementing a static type system Basic typing relations Adding context Types 1 / 15 Outline Introduction Concepts and terminology The case for static typing Implementing a static type system Basic typing relations Adding context 2 / 15 Types and type errors Type: a set of

More information

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler Front-End

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler Front-End Outline Semantic Analysis The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors

More information

CS558 Programming Languages Winter 2018 Lecture 4a. Andrew Tolmach Portland State University

CS558 Programming Languages Winter 2018 Lecture 4a. Andrew Tolmach Portland State University CS558 Programming Languages Winter 2018 Lecture 4a Andrew Tolmach Portland State University 1994-2018 Pragmatics of Large Values Real machines are very efficient at handling word-size chunks of data (e.g.

More information

CSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341)

CSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) CSE 413 Languages & Implementation Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) 1 Goals Representing programs as data Racket structs as a better way to represent

More information

CS101 Introduction to Programming Languages and Compilers

CS101 Introduction to Programming Languages and Compilers CS101 Introduction to Programming Languages and Compilers In this handout we ll examine different types of programming languages and take a brief look at compilers. We ll only hit the major highlights

More information

Static Semantics. Winter /3/ Hal Perkins & UW CSE I-1

Static Semantics. Winter /3/ Hal Perkins & UW CSE I-1 CSE 401 Compilers Static Semantics Hal Perkins Winter 2009 2/3/2009 2002-09 Hal Perkins & UW CSE I-1 Agenda Static semantics Types Symbol tables General ideas for now; details later for MiniJava project

More information

Show and Tell. 1. Plan 9 Things (brief) 2. An Extensible Compiler for Systems Programming. Russ Cox 1127 Show and Tell April 19, 2005

Show and Tell. 1. Plan 9 Things (brief) 2. An Extensible Compiler for Systems Programming. Russ Cox 1127 Show and Tell April 19, 2005 Show and Tell 1. Plan 9 Things (brief) 2. An Extensible Compiler for Systems Programming Russ Cox rsc@plan9 1127 Show and Tell April 19, 2005 who am i... Neighborhood kid 1995 summer hacking Excel (jlb)

More information

Introduction to.net, C#, and Visual Studio. Part I. Administrivia. Administrivia. Course Structure. Final Project. Part II. What is.net?

Introduction to.net, C#, and Visual Studio. Part I. Administrivia. Administrivia. Course Structure. Final Project. Part II. What is.net? Introduction to.net, C#, and Visual Studio C# Programming Part I Administrivia January 8 Administrivia Course Structure When: Wednesdays 10 11am (and a few Mondays as needed) Where: Moore 100B This lab

More information

Introduce C# as Object Oriented programming language. Explain, tokens,

Introduce C# as Object Oriented programming language. Explain, tokens, Module 2 98 Assignment 1 Introduce C# as Object Oriented programming language. Explain, tokens, lexicals and control flow constructs. 99 The C# Family Tree C Platform Independence C++ Object Orientation

More information

C# in Depth SECOND EDITION JON SKEET. MANNING Greenwich (74 w. long.)

C# in Depth SECOND EDITION JON SKEET. MANNING Greenwich (74 w. long.) C# in Depth SECOND EDITION JON SKEET II MANNING Greenwich (74 w. long.) brief contents PART 1 PREPARING FOR THE JOURNEY 1 The changing face of C# development 2 Core foundations: building on C# 1 27 PART

More information

INF3110 Programming Languages Runtime Organization part II

INF3110 Programming Languages Runtime Organization part II INF3110 Programming Languages Runtime Organization part II 10/24/17 1 Today: Higher-Order Functions, and Objects at runtime Higher-order functions: Functions passed as arguments Functions that return functions

More information

An Introduction to Scheme

An Introduction to Scheme An Introduction to Scheme Stéphane Ducasse stephane.ducasse@inria.fr http://stephane.ducasse.free.fr/ Stéphane Ducasse 1 Scheme Minimal Statically scoped Functional Imperative Stack manipulation Specification

More information

The Substitution Model

The Substitution Model The Substitution Model Prof. Clarkson Fall 2017 Today s music: Substitute by The Who Review Previously in 3110: simple interpreter for expression language abstract syntax tree (AST) evaluation based on

More information

Note 3. Types. Yunheung Paek. Associate Professor Software Optimizations and Restructuring Lab. Seoul National University

Note 3. Types. Yunheung Paek. Associate Professor Software Optimizations and Restructuring Lab. Seoul National University Note 3 Types Yunheung Paek Associate Professor Software Optimizations and Restructuring Lab. Seoul National University Topics Definition of a type Kinds of types Issues on types Type checking Type conversion

More information

Principles of Programming Languages COMP251: Functional Programming in Scheme (and LISP)

Principles of Programming Languages COMP251: Functional Programming in Scheme (and LISP) Principles of Programming Languages COMP251: Functional Programming in Scheme (and LISP) Prof. Dekai Wu Department of Computer Science and Engineering The Hong Kong University of Science and Technology

More information

Compiler Construction I

Compiler Construction I TECHNISCHE UNIVERSITÄT MÜNCHEN FAKULTÄT FÜR INFORMATIK Compiler Construction I Dr. Michael Petter, Dr. Axel Simon SoSe 2014 1 / 30 Topic: Semantic Analysis 2 / 30 Semantic Analysis Chapter 1: Type Checking

More information

CS558 Programming Languages

CS558 Programming Languages CS558 Programming Languages Fall 2016 Lecture 4a Andrew Tolmach Portland State University 1994-2016 Pragmatics of Large Values Real machines are very efficient at handling word-size chunks of data (e.g.

More information

Pass by Value. Pass by Value. Our programs are littered with function calls like f (x, 5).

Pass by Value. Pass by Value. Our programs are littered with function calls like f (x, 5). Our programs are littered with function calls like f (x, 5). This is a way of passing information from the call site (where the code f(x,5) appears) to the function itself. The parameter passing mode tells

More information

IMPLEMENTING THE LINQ QUERY LANGUAGE INTO THE C++ PROGRAMMING LANGUAGE USING A PREPROCESSOR

IMPLEMENTING THE LINQ QUERY LANGUAGE INTO THE C++ PROGRAMMING LANGUAGE USING A PREPROCESSOR IMPLEMENTING THE LINQ QUERY LANGUAGE INTO THE C++ PROGRAMMING LANGUAGE USING A PREPROCESSOR Jakub Judas, Miroslav Virius FJFI ČVUT ABSTRACT: LINQ is a query language similar to SQL that enables to retrieve

More information

Motivation for typed languages

Motivation for typed languages Motivation for typed languages Untyped Languages: perform any operation on any data. Example: Assembly movi 5 r0 // Move integer 5 (some representation) to r0 addf 3.6 r0 // Treat bit representation in

More information

CS313D: ADVANCED PROGRAMMING LANGUAGE

CS313D: ADVANCED PROGRAMMING LANGUAGE CS313D: ADVANCED PROGRAMMING LANGUAGE Computer Science Department Lecture 3: C# language basics Lecture Contents 2 C# basics Conditions Loops Methods Arrays Dr. Amal Khalifa, Spr 2015 3 Conditions and

More information

use attributes (); # optional, to get subroutine declarations = attributes::get(\&foo);

use attributes (); # optional, to get subroutine declarations = attributes::get(\&foo); NAME SYNOPSIS attributes - get/set subroutine or variable attributes sub foo : method ; my ($x,@y,%z) : Bent = 1; my $s = sub : method {... ; use attributes (); # optional, to get subroutine declarations

More information

7. Relational Calculus (Part I) 7.1 Introduction

7. Relational Calculus (Part I) 7.1 Introduction 7. Relational Calculus (Part I) 7.1 Introduction We established earlier the fundamental role of relational algebra and calculus in relational databases (see 5.1). More specifically, relational calculus

More information

Weeks 6&7: Procedures and Parameter Passing

Weeks 6&7: Procedures and Parameter Passing CS320 Principles of Programming Languages Weeks 6&7: Procedures and Parameter Passing Jingke Li Portland State University Fall 2017 PSU CS320 Fall 17 Weeks 6&7: Procedures and Parameter Passing 1 / 45

More information

Type Bindings. Static Type Binding

Type Bindings. Static Type Binding Type Bindings Two key issues in binding (or associating) a type to an identifier: How is type binding specified? When does the type binding take place? N. Meng, S. Arthur 1 Static Type Binding An explicit

More information

Concepts of Programming Languages

Concepts of Programming Languages Concepts of Programming Languages Lecture 15 - Functional Programming Patrick Donnelly Montana State University Spring 2014 Patrick Donnelly (Montana State University) Concepts of Programming Languages

More information

Midterm CSE 131B Spring 2005

Midterm CSE 131B Spring 2005 Signature Login Name _ Name Student ID Midterm CSE 131B Spring 2005 Page 1 Page 2 Page 3 Page 4 Page 5 (20 points) (18 points) (22 points) (20 points) (20 points) Subtotal Page 6 Extra Credit (100 points)

More information

LINQ Language-Integrated Query Introduction

LINQ Language-Integrated Query Introduction LINQ Language-Integrated Query Introduction Contents Introduction... 1 The var Keyword... 2 IEnumerable... 2 Anonymous Classes... 3 Extension Methods Part I... 3 The this Parameter... 4 Extension Methods

More information

FUNCTIONAL AND LOGIC PROGRAMS

FUNCTIONAL AND LOGIC PROGRAMS FUNCTIONAL AND LOGIC PROGRAMS Contents Language Specific Compilation Context Handling Identification Scope Overloading Imported Scope Type Checking Type table Type equivalence Coercions Casts and conversions

More information

Functional Programming

Functional Programming Functional Programming CS331 Chapter 14 Functional Programming Original functional language is LISP LISt Processing The list is the fundamental data structure Developed by John McCarthy in the 60 s Used

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Programming Languages Lecture 15: Review and Functional Programming Zheng (Eddy) Zhang Rutgers University March 19, 2018 Class Information Midterm exam forum open in Sakai. HW4 and

More information

Upcoming Features in C# Mads Torgersen, MSFT

Upcoming Features in C# Mads Torgersen, MSFT Upcoming Features in C# Mads Torgersen, MSFT This document describes language features currently planned for C# 6, the next version of C#. All of these are implemented and available in VS 2015 Preview.

More information

See the CS 2704 notes on C++ Class Basics for more details and examples. Data Structures & OO Development I

See the CS 2704 notes on C++ Class Basics for more details and examples. Data Structures & OO Development I Polynomial Class Polynomial(); Polynomial(const string& N, const vector& C); Polynomial operator+(const Polynomial& RHS) const; Polynomial operator-(const Polynomial& RHS) const; Polynomial operator*(const

More information

Expressions and Assignment

Expressions and Assignment Expressions and Assignment COS 301: Programming Languages Outline Other assignment mechanisms Introduction Expressions: fundamental means of specifying computations Imperative languages: usually RHS of

More information

Every language has its own scoping rules. For example, what is the scope of variable j in this Java program?

Every language has its own scoping rules. For example, what is the scope of variable j in this Java program? Lexical Binding There are two ways a variable can be used in a program: As a declaration As a "reference" or use of the variable Scheme has two kinds of variable "declarations" -- the bindings of a let-expression

More information

Programming Languages Third Edition. Chapter 7 Basic Semantics

Programming Languages Third Edition. Chapter 7 Basic Semantics Programming Languages Third Edition Chapter 7 Basic Semantics Objectives Understand attributes, binding, and semantic functions Understand declarations, blocks, and scope Learn how to construct a symbol

More information

Semantic Processing. Semantic Errors. Semantics - Part 1. Semantics - Part 1

Semantic Processing. Semantic Errors. Semantics - Part 1. Semantics - Part 1 Semantic Processing The Lexer and Parser Found lexical and syntax errors Built Abstract Syntax Tree Now!Find semantic errors.!build information about the program. Later!Generate IR Code!Optimize IR Code!Generate

More information

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G.

Scheme: Data. CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, Glenn G. Scheme: Data CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Monday, April 3, 2017 Glenn G. Chappell Department of Computer Science University of Alaska Fairbanks ggchappell@alaska.edu

More information

Organization of Programming Languages CS3200/5200N. Lecture 11

Organization of Programming Languages CS3200/5200N. Lecture 11 Organization of Programming Languages CS3200/5200N Razvan C. Bunescu School of Electrical Engineering and Computer Science bunescu@ohio.edu Functional vs. Imperative The design of the imperative languages

More information

Scope, Functions, and Storage Management

Scope, Functions, and Storage Management Scope, Functions, and Storage Management Implementing Functions and Blocks cs3723 1 Simplified Machine Model (Compare To List Abstract Machine) Registers Code Data Program Counter (current instruction)

More information

Basic Scheme February 8, Compound expressions Rules of evaluation Creating procedures by capturing common patterns

Basic Scheme February 8, Compound expressions Rules of evaluation Creating procedures by capturing common patterns Basic Scheme February 8, 2007 Compound expressions Rules of evaluation Creating procedures by capturing common patterns Previous lecture Basics of Scheme Expressions and associated values (or syntax and

More information

Informal Semantics of Data. semantic specification names (identifiers) attributes binding declarations scope rules visibility

Informal Semantics of Data. semantic specification names (identifiers) attributes binding declarations scope rules visibility Informal Semantics of Data semantic specification names (identifiers) attributes binding declarations scope rules visibility 1 Ways to Specify Semantics Standards Documents (Language Definition) Language

More information

Scheme: Strings Scheme: I/O

Scheme: Strings Scheme: I/O Scheme: Strings Scheme: I/O CS F331 Programming Languages CSCE A331 Programming Language Concepts Lecture Slides Wednesday, April 5, 2017 Glenn G. Chappell Department of Computer Science University of

More information

C++11: 10 Features You Should be Using. Gordon R&D Runtime Engineer Codeplay Software Ltd.

C++11: 10 Features You Should be Using. Gordon R&D Runtime Engineer Codeplay Software Ltd. C++11: 10 Features You Should be Using Gordon Brown @AerialMantis R&D Runtime Engineer Codeplay Software Ltd. Agenda Default and Deleted Methods Static Assertions Delegated and Inherited Constructors Null

More information

MIT Semantic Analysis. Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology

MIT Semantic Analysis. Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology MIT 6.035 Semantic Analysis Martin Rinard Laboratory for Computer Science Massachusetts Institute of Technology Error Issue Have assumed no problems in building IR But are many static checks that need

More information

Object-Oriented Programming in C# (VS 2015)

Object-Oriented Programming in C# (VS 2015) Object-Oriented Programming in C# (VS 2015) This thorough and comprehensive 5-day course is a practical introduction to programming in C#, utilizing the services provided by.net. This course emphasizes

More information

The PCAT Programming Language Reference Manual

The PCAT Programming Language Reference Manual The PCAT Programming Language Reference Manual Andrew Tolmach and Jingke Li Dept. of Computer Science Portland State University September 27, 1995 (revised October 15, 2002) 1 Introduction The PCAT language

More information

Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology

Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology exam Compiler Construction in4020 July 5, 2007 14.00-15.30 This exam (8 pages) consists of 60 True/False

More information

Topics Covered Thus Far. CMSC 330: Organization of Programming Languages. Language Features Covered Thus Far. Programming Languages Revisited

Topics Covered Thus Far. CMSC 330: Organization of Programming Languages. Language Features Covered Thus Far. Programming Languages Revisited CMSC 330: Organization of Programming Languages Type Systems, Names & Binding Topics Covered Thus Far Programming languages Syntax specification Regular expressions Context free grammars Implementation

More information

Chapter 4 Defining Classes I

Chapter 4 Defining Classes I Chapter 4 Defining Classes I This chapter introduces the idea that students can create their own classes and therefore their own objects. Introduced is the idea of methods and instance variables as the

More information