'Type equivalence' diaporamas de présentation

Chapter 5

Chapter 5. Names, Bindings, Type Checking, and Scopes. Type Equivalence. Why Type Equivalence Is Needed?. The type compatibility rules are simple and rigid for the predefined scalar types . However, in the cases of structured types such as arrays and records and

1.13k views • 95 slides

Chapter 5

Chapter 5. Names, Bindings, Type Checking, and Scopes. Type Equivalence. Why Type Equivalence Is Needed?. The type compatibility rules are simple and rigid for the predefined scalar types . However, in the cases of structured types such as arrays and records and

1.16k views • 95 slides

Chapter 5

Chapter 5. Names, Bindings, Type Checking, and Scopes. Type Equivalence. Why Type Equivalence Is Needed?. The type compatibility rules are simple and rigid for the predefined scalar types .

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Chapter 7: Data Types

Chapter 7: Data Types. Chapter 7: Data type. 7.1 Type Systems 7.2 Type Checking 7.3 Records (Structures) and Variants (Unions) 7.4 Arrays 7.5 Sets 7.6 Lists 7.7 Pointers and Recursive types. Data Types. Computers manipulate sequences of bits

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Microsoft .NET Framework: CLR Futures

Microsoft .NET Framework: CLR Futures. Working better togeth er , faster, with fewer bugs. ? Joshua Goodman Group Program Manager Microsoft Corporation. Introduction. CLR 4.0: our largest release since 2.0. 3.5. 3.0. .NET 1.0. .NET 1.1. .NET 2.0. .NET 4.0. 2002. 2003. 2005.

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Names, Scopes and Bindings

Names, Scopes and Bindings. Names. Kinds of names Variables, functions, classes, types, labels, blocks, operators, tasks, etc. Binding associates a names with an object A Name is an abstraction of an object Classes are type abstractions Variables are data abstractions

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Types

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Simple and Safe SQL Queries with C++ Templates via the ARARAT System

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Chapter 7:: Data Types

Chapter 7:: Data Types. Programming Language Pragmatics. Michael L. Scott. Data Types. We all have developed an intuitive notion of what types are; what's behind the intuition? collection of values from a "domain" (the denotational approach)

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The Information Flow Foundation for Conceptual Knowledge Organization

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Type Checking

Type Checking. Legality checks Operator determination Overload resolution. Type as a synthesized attribute. Expr ::= Expr + Term if Etype (Expr 2 ) = Etype (Term) then Etype (Expr 1 ) := Etype (Expr 2 ); else Etype (Expr1) = Any_Type;

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Disjoint Unions (quick review)

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Type

Type. Type system for a programming language = set of types AND rules that specify how a typed program is allowed to behave Why? to generate better code, with less runtime overhead to avoid runtime errors to improve expressiveness (see overloading) How? Type checking

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Type

Type. Type system for a programming language = set of types AND rules that specify how a typed program is allowed to behave Why? to generate better code, with less runtime overhead to avoid runtime errors to improve expressiveness (see overloading) How? Type checking

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Lecture # 21

Lecture # 21. Chapter 6 Uptill 6.4. Type System. A type system is a collection of rules for assigning type expressions to the various parts of the program. A Type Checker implements a Type System. Type checking of Expressions. E ? char { E.type =char} E?int { E.type = int }

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Data and Data Types

Data and Data Types. Data may be more abstract than their representation E.g., integer (unbounded) vs. 64-bit int (bounded) A language or a standard may define representations E.g., IEEE floating point standard, sizeof(char) == 1 in C++ Otherwise representations may be platform-dependent

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