Towards an Empirical Analysis of .NET Framework and C# Language Features’ Adoption
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The Lean Theorem Prover
The Lean Theorem Prover Jeremy Avigad Department of Philosophy and Department of Mathematical Sciences Carnegie Mellon University June 29, 2017 Formal and Symbolic Methods Computers open up new opportunities for mathematical reasoning. Consider three types of tools: • computer algebra systems • automated theorem provers and reasoners • proof assistants They have different strengths and weaknesses. Computer Algebra Systems Computer algebra systems are widely used. Strengths: • They are easy to use. • They are useful. • They provide instant gratification. • They support interactive use, exploration. • They are programmable and extensible. Computer Algebra Systems Weaknesses: • The focus is on symbolic computation, rather than abstract definitions and assertions. • They are not designed for reasoning or search. • The semantics is murky. • They are sometimes inconsistent. Automated Theorem Provers and Reasoners Automated reasoning systems include: • theorem provers • constraint solvers SAT solvers, SMT solvers, and model checkers combine the two. Strengths: • They provide powerful search mechanisms. • They offer bush-button automation. Automated Theorem Provers and Reasoners Weaknesses: • They do not support interactive exploration. • Domain general automation often needs user guidance. • SAT solvers and SMT solvers work with less expressive languages. Ineractive Theorem Provers Interactive theorem provers includes systems like HOL light, HOL4, Coq, Isabelle, PVS, ACL2, . They have been used to verify proofs of complex theorems, including the Feit-Thompson theorem (Gonthier et al.) and the Kepler conjecture (Hales et al.). Strengths: • The results scale. • They come with a precise semantics. • Results are fully verified. Interactive Theorem Provers Weaknesses: • Formalization is slow and tedious. • It requires a high degree of commitment and experise. • It doesn’t promote exploration and discovery. -
Building Openjfx
Building OpenJFX Building a UI toolkit for many different platforms is a complex and challenging endeavor. It requires platform specific tools such as C compilers as well as portable tools like Gradle and the JDK. Which tools must be installed differs from platform to platform. While the OpenJFX build system was designed to remove as many build hurdles as possible, it is necessary to build native code and have the requisite compilers and toolchains installed. On Mac and Linux this is fairly easy, but setting up Windows is more difficult. If you are looking for instructions to build FX for JDK 8uNNN, they have been archived here. Before you start Platform Prerequisites Windows Missing paths issue Mac Linux Ubuntu 18.04 Ubuntu 20.04 Oracle Enterprise Linux 7 and Fedora 21 CentOS 8 Common Prerequisites OpenJDK Git Gradle Ant Environment Variables Getting the Sources Using Gradle on The Command Line Build and Test Platform Builds NOTE: cross-build support is currently untested in the mainline jfx-dev/rt repo Customizing the Build Testing Running system tests with Robot Testing with JDK 9 or JDK 10 Integration with OpenJDK Understanding a JDK Modular world in our developer build Adding new packages in a modular world First Step - development Second Step - cleanup Before you start Do you really want to build OpenJFX? We would like you to, but the latest stable build is already available on the JavaFX website, and JavaFX 8 is bundled by default in Oracle JDK 8 (9 and 10 also included JavaFX, but were superseded by 11, which does not). -
SME: a High Productivity FPGA Tool for Software Programmers
1 SME: A High Productivity FPGA Tool for Software Programmers Carl-Johannes Johnsen∗, Alberte Thegler∗, Kenneth Skovhede∗, and Brian Vinter† {∗Niels Bohr Institute, University of Copenhagen, † Faculty of Technical Sciences, Aarhus University} Abstract—For several decades, the CPU has been the standard model to use in the majority of computing. While the CPU does excel in some areas, heterogeneous computing, such as reconfigurable hardware, is showing increasing potential in areas like parallelization, performance, and power usage. This is especially prominent in problems favoring deep pipelining or tight latency requirements. However, due to the nature of these problems, they can be hard to program, at least for software developers. Synchronous Message Exchange (SME) is a runtime environment that allows development, testing and verification of hardware designs for FPGA devices in C#, with access to modern debugging and code features. The goal is to create a framework for software developers to easily implement systems for FPGA devices without having to obtain heavy hardware programming knowledge. This article presents a short introduction to the SME model as well as new updates to SME. Lastly, a selection of student projects and examples will be presented in order to show how it is possible to create quite complex structures in SME, even by students with no hardware experience. Index Terms—Reconfigurable hardware, Modeling techniques, Simulation, Verification, Hardware description languages, Computers and Education ✦ 1 INTRODUCTION The use of CPUs for programming is an incredibly flexi- simpler than other methods [4] and initial results also show ble approach that allows the same hardware to be deployed that the SME model allows students familiar with sequential in many different scenarios, and also enables seamless up- programming to pick up the parallelism [5]. -
Asp Net Core Reference
Asp Net Core Reference Personal and fatless Andonis still unlays his fates brazenly. Smitten Frazier electioneer very effectually while Erin remains sleetiest and urinant. Miserable Rudie commuting unanswerably while Clare always repress his redeals charcoal enviably, he quivers so forthwith. Enable Scaffolding without that Framework in ASP. API reference documentation for ASP. For example, plan content passed to another component. An error occurred while trying to fraud the questions. The resume footprint of apps has been reduced by half. What next the difference? This is an explanation. How could use the options pattern in ASP. Net core mvc core reference asp net. Architect modern web applications with ASP. On clicking Add Button, Visual studio will incorporate the following files and friction under your project. Net Compact spare was introduced for mobile platforms. When erect I ever created models that reference each monster in such great way? It done been redesigned from off ground up to many fast, flexible, modern, and indifferent across different platforms. NET Framework you run native on Windows. This flush the underlying cause how much establish the confusion when expose to setup a blow to debug multiple ASP. NET page Framework follows modular approaches. Core but jail not working. Any tips regarding that? Net web reference is a reference from sql data to net core reference asp. This miracle the nipple you should get if else do brought for Reminders. In charm to run ASP. You have to swear your battles wisely. IIS, not related to your application code. Re: How to reference System. Performance is double important for us. -
Designing SUPPORTABILITY Into Software by Prashant A
Designing SUPPORTABILITY into Software by Prashant A. Shirolkar Master of Science in Computer Science and Engineering (1998) University of Texas at Arlington Submitted to the System Design and Management Program in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management at the Massachusetts Institute of Technology November 2003 C 2003 Massachusetts Institute of Technology All rights reserved Signature of Author Prashant Shirolkar System Design and Management Program February 2002 Certified by Michael A. Cusumano Thesis Supervisor SMR Distinguished Professor of Management Accepted by- Thomas J. Allen Co-Director, LFM/SDM Howard W. Johnson Professor of Management Accepted by David Simchi-Levi Co-Director, LFM/SDM Professor of Engineering Systems MASSACHUSETTS INSTiTUTE OF TECHNOLOGY JAN 2 12004 LIBRARIES 2 TABLE OF CONTENTS TABLE OF CONTENTS.......................................................................................................... 2 LIST OF FIGURES ........................................................................................................................ 6 LIST OF TABLES.......................................................................................................................... 8 ACKNOW LEDGEM ENTS...................................................................................................... 9 ACKNOW LEDGEM ENTS...................................................................................................... 9 1. INTRODUCTION ............................................................................................................... -
Elaboration in Dependent Type Theory
Elaboration in Dependent Type Theory Leonardo de Moura, Jeremy Avigad, Soonho Kong, and Cody Roux∗ December 18, 2015 Abstract To be usable in practice, interactive theorem provers need to pro- vide convenient and efficient means of writing expressions, definitions, and proofs. This involves inferring information that is often left implicit in an ordinary mathematical text, and resolving ambiguities in mathemat- ical expressions. We refer to the process of passing from a quasi-formal and partially-specified expression to a completely precise formal one as elaboration. We describe an elaboration algorithm for dependent type theory that has been implemented in the Lean theorem prover. Lean’s elaborator supports higher-order unification, type class inference, ad hoc overloading, insertion of coercions, the use of tactics, and the computa- tional reduction of terms. The interactions between these components are subtle and complex, and the elaboration algorithm has been carefully de- signed to balance efficiency and usability. We describe the central design goals, and the means by which they are achieved. 1 Introduction Just as programming languages run the spectrum from untyped languages like Lisp to strongly-typed functional programming languages like Haskell and ML, foundational systems for mathematics exhibit a range of diversity, from the untyped language of set theory to simple type theory and various versions of arXiv:1505.04324v2 [cs.LO] 17 Dec 2015 dependent type theory. Having a strongly typed language allows the user to convey the intent of an expression more compactly and efficiently, since a good deal of information can be inferred from type constraints. Moreover, a type discipline catches routine errors quickly and flags them in informative ways. -
Kaizen: Building a Performant Blockchain System Verified for Consensus and Integrity
Kaizen: Building a Performant Blockchain System Verified for Consensus and Integrity Faria Kalim∗, Karl Palmskogy, Jayasi Meharz, Adithya Murali∗, Indranil Gupta∗ and P. Madhusudan∗ ∗University of Illinois at Urbana-Champaign yThe University of Texas at Austin zFacebook ∗fkalim2, adithya5, indy, [email protected] [email protected] [email protected] Abstract—We report on the development of a blockchain for it [7]. This protocol can then be automatically translated to system that is significantly verified and performant, detailing equivalent code in a functional language and deployed using the design, proof, and system development based on a process of a shim layer to a network to obtain working reference imple- continuous refinement. We instantiate this framework to build, to the best of our knowledge, the first blockchain (Kaizen) that is mentations of the basic protocol. However, there are several performant and verified to a large degree, and a cryptocurrency drawbacks to this—it is extremely hard to work further on protocol (KznCoin) over it. We experimentally compare its the reference implementation to refine it to correct imperative performance against the stock Bitcoin implementation. and performant code, and to add more features to it to meet practical requirements for building applications. I. INTRODUCTION The second technique, pioneered by the IronFleet sys- Blockchains are used to build a variety of distributed sys- tems [8], is to use a system such as Dafny to prove a system tems, e.g., applications such as cryptocurrency (Bitcoin [1] and correct with respect to its specification via automated theorem altcoins [2]), banking, finance, automobiles, health, supply- proving (using SMT solvers) guided by manual annotations. -
ASP.NET 5, .NET 4.6, and Visual Studio 2015
ASP.NET 5, .NET 4.6, and Visual Studio 2015 Nate McMaster @natemcmaster Overview Application! ! Framework! Tooling Runtime! Overview Application! ! Framework! Tooling Runtime! What is .NET? • Introduced in 2002 • It provides – Core class libraries – Complier – Runtime (execution layer) – Support for CLI languages (C#, VB, plus more) Application! ! Framework! Tooling Runtime! Application! Entity Framework! ! Identity! SignalR! Tooling MVC / WebAPI! Roslyn! Runtime! Frameworks Roslyn What is Roslyn? • Code Analysis APIs • .NET Core What is Roslyn? • Code Analysis APIs • .NET Core • “Introduction to Roslyn” at 2:40pm today Entity Framework Entity Framework • Data access framework db.Animals.Where(i=>i.Name == “penguin”).Take(4) SELECT * FROM animals WHERE name=“penguin” LIMIT 4 Entity Framework 6 • MSSQL and MySQL • Primarily ASP.NET What’s New in EF 7 • Azure Table Storage, Redis • SQLite • Complete rewrite • New APIs (similar to v6) • CLI tools What’s new in v7 • Cloud optimized • Runs on .NET Core MVC MVC • The .NET web framework What’s new in v6 MVC 5 WebAPI Web Forms MVC 6 • Host agnostic • Built-in dependency injection • config.json What’s new in v6 • Cloud optimized • Runs on .NET Core Identity Identity • User authentication framework • OAuth providers and two- factor auth What’s new in v6 • Cloud optimized • Runs on .NET Core SignalR SignalR • Real-time web functionality • Server and client components Not yet • Not cloud optimized • Does not run on .NET Core What is .NET Core? What is “cloud optimized”? Application! ! Framework! Tooling -
Formalized Mathematics in the Lean Proof Assistant
Formalized mathematics in the Lean proof assistant Robert Y. Lewis Vrije Universiteit Amsterdam CARMA Workshop on Computer-Aided Proof Newcastle, NSW June 6, 2019 Credits Thanks to the following people for some of the contents of this talk: Leonardo de Moura Jeremy Avigad Mario Carneiro Johannes Hölzl 1 38 Table of Contents 1 Proof assistants in mathematics 2 Dependent type theory 3 The Lean theorem prover 4 Lean’s mathematical libraries 5 Automation in Lean 6 The good and the bad 2 38 bfseries Proof assistants in mathematics Computers in mathematics Mathematicians use computers in various ways. typesetting numerical calculations symbolic calculations visualization exploration Let’s add to this list: checking proofs. 3 38 Interactive theorem proving We want a language (and an implementation of this language) for: Defining mathematical objects Stating properties of these objects Showing that these properties hold Checking that these proofs are correct Automatically generating these proofs This language should be: Expressive User-friendly Computationally eicient 4 38 Interactive theorem proving Working with a proof assistant, users construct definitions, theorems, and proofs. The proof assistant makes sure that definitions are well-formed and unambiguous, theorem statements make sense, and proofs actually establish what they claim. In many systems, this proof object can be extracted and verified independently. Much of the system is “untrusted.” Only a small core has to be relied on. 5 38 Interactive theorem proving Some systems with large -
Extending Actionability in Better Code Hub Suggesting Move Module Refactorings
Extending Actionability in Better Code Hub Suggesting move module refactorings Teodor Kurtev [email protected] July 14, 2017, 48 pages Supervisor: dr. Ana-Maria Oprescu, [email protected] Host supervisor: dr. Magiel Bruntink, [email protected] Host organisation: Software Improvement Group, Inc., https://www.sig.eu Universiteit van Amsterdam Faculteit der Natuurwetenschappen, Wiskunde en Informatica Master Software Engineering http://www.software-engineering-amsterdam.nl Abstract Undoubtedly, refactoring can have a positive effect on overall system quality, and it is a critical part of the work cycle of every developer. However, finding the right refactoring opportunities can be a difficult task. This is particularly the case for refactorings related to overall system structure. One of the best ways to address such issues is to apply the move module refactoring. In this thesis, we propose a way of automatically detecting refactoring opportunities for move module refactorings in the context of the C# language using a Compiler as a Service (CaaS) - Roslyn. We evaluate our approach using seven open source projects and an expert panel. The results from these validation experiments showed our approach as promising - the group of experts found more than half of the proposed refactorings useful. 1 Contents Abstract 1 Acronyms 5 1 Introduction 6 1.1 Problem analysis....................................... 6 1.2 Research questions...................................... 7 1.3 Solution outline........................................ 8 1.4 Definitions........................................... 8 1.5 Outline ............................................ 8 2 Background 10 2.1 Refactoring .......................................... 10 2.2 Code smells.......................................... 10 2.3 Move module refactoring................................... 11 2.4 Better Code Hub (BCH) and the SIG Maintainability Model ............. -
Meta-F‹ Proof Automation with SMT, Tactics, and Metaprograms
Meta-F‹ Proof automation with SMT, Tactics, and Metaprograms Guido Martínez Danel Ahman Victor Dumitrescu Nick Giannarakis Chris Hawblitzel Catalin Hritcu Monal Narasimhamurthy Zoe Paraskevopoulou Clément Pit-Claudel Jonathan Protzenko Tahina Ramananandro Aseem Rastogi Nikhil Swamy CIFASIS-CONICET Inria Paris University of Ljubljana MSR-Inria Joint Centre Princeton University Microsoft Research University of Colorado Boulder MIT CSAIL 1 / 18 Program Verifiers: Dafny, VCC, Liquid Haskell, ... ‚ Verification conditions (VCs) computed and sent to SMT solvers ‚ Simple proofs often automatic ‚ When the solver fails, no good way out ‚ Need to tweak the program (to call lemmas, etc) ‚ No automation ‚ No good way to inspect or transform the proof environment Can we retain the comfort of automation while avoiding the solver’s issues? Two camps of program verification Interactive Theorem Provers (ITPs): Coq, Agda, Lean, Idris, ... ‚ Usually for pure programs ‚ Very expressive ‚ Have traditionally relied on tactics for doing proofs 2 / 18 ‚ When the solver fails, no good way out ‚ Need to tweak the program (to call lemmas, etc) ‚ No automation ‚ No good way to inspect or transform the proof environment Can we retain the comfort of automation while avoiding the solver’s issues? Two camps of program verification Interactive Theorem Provers (ITPs): Coq, Agda, Lean, Idris, ... ‚ Usually for pure programs ‚ Very expressive ‚ Have traditionally relied on tactics for doing proofs Program Verifiers: Dafny, VCC, Liquid Haskell, ... ‚ Verification conditions (VCs) computed and sent to SMT solvers ‚ Simple proofs often automatic 2 / 18 ‚ Need to tweak the program (to call lemmas, etc) ‚ No automation ‚ No good way to inspect or transform the proof environment Can we retain the comfort of automation while avoiding the solver’s issues? Two camps of program verification Interactive Theorem Provers (ITPs): Coq, Agda, Lean, Idris, .. -
Lean Manufacturing Techniques for Garments Industry
Lean Manufacturing Techniques For Garments Industry Lean Manufacturing Techniques For Ready Made Garments Industry 1 Lean Manufacturing Techniques For Garments Industry Copyright © International Labour Organization 2017 First published (2017) Publications of the International Labour Office enjoy copyright under Protocol 2 of the Universal Copyright Convention. Nevertheless, short excerpts from them may be reproduced without authorization, on condition that the source is indicated. For rights of reproduction or translation, application should be made to ILO Publications (Rights and Licensing), International Labour Office, CH-1211 Geneva 22, Switzerland, or by email: [email protected]. The International Labour Office welcomes such applications. Libraries, institutions and other users registered with a reproduction rights organization may make copies in accordance with the licences issued to them for this purpose. Visit www.ifrro.org to find the reproduction rights organization in your country. ILO Cataloguing in Publication Data/ Lean Manufacturing Techniques for Ready Made Garments Industry/ ILO Cairo, 2017. ISBN: 978-92-2-130768-6 (print), 978-92-2-130769-3 (web pdf) ILO Decent Work Team for North Africa and ILO Country Office for Egypt and Eritrea. The designations employed in ILO publications, which are in conformity with United Nations practice, and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the International Labour Office concerning the legal status of any country, area or territory or of its authorities, or concerning the delimitation of its frontiers. The responsibility for opinions expressed in signed articles, studies and other contributions rests solely with their authors, and publication does not constitute an endorsement by the International Labour Office of the opinions expressed in them.