'Type inference' diaporamas de présentation

Using Type Inference and Induced Rules to Provide Intensional Answers

Using Type Inference and Induced Rules to Provide Intensional Answers. Wesley W. Chu Rei-Chi Lee Qiming Chen. What is Intensional Answer?. Intensional answer to a query provides the characteristics that describes the database values (the extensional answers ) that satisfy the query

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Programming Languages and Compilers (CS 421)

Programming Languages and Compilers (CS 421). Sasa Misailovic 4110 SC, UIUC https://courses.engr.illinois.edu/cs421/fa2017/CS421A. Based on slides by Elsa Gunter , which were inspired by earlier slides by Mattox Beckman, Vikram Adve, and Gul Agha. Two Problems. Type checking

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Programming Languages and Compilers (CS 421)

Programming Languages and Compilers (CS 421). Elsa L Gunter 2112 SC, UIUC http://courses.engr.illinois.edu/cs421. Based in part on slides by Mattox Beckman, as updated by Vikram Adve and Gul Agha. Two Problems. Type checking Question: Does exp. e have type ? in env ? ? Answer: Yes / No

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Type Inference

Type Inference. David Walker COS 320. Criticisms of Typed Languages. Types overly constrain functions & data polymorphism makes typed constructs useful in more contexts universal polymorphism => code reuse modules & abstract types => code reuse subtyping => code reuse

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Types, Type Inference and Unification

Types, Type Inference and Unification. Mooly Sagiv Slides by Kathleen Fisher and John Mitchell Cornell CS 6110. Summary (Functional Programming). Lambda Calculus Basic ML Advanced ML: Modules, References, Side-effects Closures and Scopes Type Inference and Type Checking. Outline.

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Type Inference

Type Inference. David Walker COS 441. Criticisms of Typed Languages. Types overly constrain functions & data Polymorphism makes typed constructs useful in more contexts universal polymorphism => code reuse existential polymorphism => abstract types

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Data Patterns in Cloud Computing

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Introduction to ML

Introduction to ML. Mooly Sagiv. Cornell CS 3110 Data Structures and Functional Programming. The ML Programming Language. General purpose programming language designed by Robin Milner in 1970 Meta Language for verification Can be viewed as typed ? calculus with type inference

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Modular Type Classes

Modular Type Classes. Derek Dreyer Robert Harper Manuel M.T. Chakravarty POPL 2007 Nice, France. Specifications. Haskell:. Specifications. Haskell:. ML:. Implementations. Haskell:. Implementations. Haskell:. ML:. Generic Implementations. Haskell:. Generic Implementations.

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CSE 373 : Data Structure & Algorithms Lecture 25: Programming Languages

CSE 373 : Data Structure & Algorithms Lecture 25: Programming Languages. Nicki Dell Spring 2014. What is a Programming Language?. A set of symbols and associated tools that translate (if necessary) collections of symbols into instructions to a machine

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Attribute Grammars

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Functional Languages and Higher-Order Functions

Leonidas Fegaras. Functional Languages and Higher-Order Functions. First-Class Functions. Data values are first-class if they can be assigned to local variables be components of data structures be passed as arguments to functions be returned from functions be created at run-time

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Functional Languages and Higher-Order Functions

Leonidas Fegaras. Functional Languages and Higher-Order Functions. First-Class Functions. Data values are first-class if they can be assigned to local variables be components of data structures be passed as arguments to functions be returned from functions be created at run-time

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Haskell

Haskell. Chapter 7. Topics. Defining data types Exporting types Type parameters Derived instances Type synonyms Either Type classes. Not covered record syntax recursive data structures subclassing parameterized types as instances of type classes

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Inferable Object-Oriented Typed Assembly Language

Inferable Object-Oriented Typed Assembly Language. Ross Tate , Juan Chen, Chris Hawblitzel. Typed Assembly Languages. Compilers are great but they make mistakes and can introduce vulnerabilities Typed assembly language includes a proof of (memory) safety verified by a trusted proof checker

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Final Review

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S EMINAL : Searching for Type-Error Messages

S EMINAL : Searching for Type-Error Messages. Benjamin Lerner, Dan Grossman, Craig Chambers University of Washington. # let map2 f aList bList = List.map (fun (a, b) -> f a b) (List.combine aList bList);;

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Combining verification and analysis

Combining verification and analysis. CONCLUSIONS ON VERIFICATION. denotational abstract interpreters have the extra-value of being easily transformed into compositional verifiers compositional verification is useful for debugging condition 2 F ? P (S) ?? S

211 views • 7 slides