Event Location:
University College Cork
Western Gateway, Western Road, Cork
Cork, County Cork, Ireland
Abstract:
“Performance Dreams started at SQL Server 2014 and came true now at SQL Server 2016,2017 “, it is just like this because you there are unbelievable performance reads and substantial improvements that can drive your DB environment to a distinct level of stability and Performance to be a leading environment in a very short time ..! It looks like apparently a myth or legend to see those new SQL Server 2016 features how they could flipped up SQL Server Powers from the old generation to the new generation of in-advanced analytics using In-memory and CCI (Colmnstore indexes) where no longer need for any DWH solutions at all but just reading data directly from production DBs with ZERO performance impacts on end users ..! come in here to my session and you will know more about many new features and rich powers of SQL Server 2014 2016 regarding performance particularly like Microsoft project “Hekaton” for In-memory built in for OLTP , CCI( columnstore index) ,Resource Governor for IO
Speaker(s): Shehab El-Najjar,
Abstract:
Does your application suffer from performance problems even though you followed best practices on schema design? Have you looked at your transaction log? There's no doubt about it, the transaction log is treated like a poor cousin. The poor thing does not receive much love. The transaction log, however, is a very essential and misunderstood part of your database. There will be a team of developers creating an absolutely awesome elegant design the likes of which have never been seen before, but the leave the transaction log using default settings. It's as if it doesn't matter, an afterthought, a relic of the platform architecture. In this session, you will learn to appreciate how the transaction log works and how you can improve the performance of your applications by making the right architectural choices. From understanding the internals we can design for faster recovery and batch processes and ironically a smaller transaction log!
Speaker(s): Lord Richard Douglas,
Abstract:
Hype as it is, a valid business case currently is the most critical point for a Blockchain project. So better check it out with a PoC and best with a fast PoC before you start burning money. But getting even a simple PoC for a Blockchain project running still is hard. Connecting Blockchain data to classical databases, making them available to analytics or standard applications is worse (ever queried LevelDB?). Microsofts new "Azure Blockchain Workbench" let you do this in hours, not months. So (besides wondering why one needs this hype stuff at all) we will see how to - Deploy a Blockchain on Azure in a breeze - Start coding with Solidity - Generate templates for smart contracts - Connect them to IoT devices - Get a PoC Web UI for free - Push all the data into a "real" database automatically Last but not least, we can look at some real world projects.
Speaker(s): Christoph Seck,
Abstract:
In this session, we will show how to train a recommendation engine on SQL Server 2019 Big Data clusters (BDC) on Azure Kubernetes Services (AKS) using Python, Spark, and SQL. SQL Server 2019 is the first version that tightly integrates HDFS and Apache Spark with a SQL Server engine. We will start with an overview of the SQL Server 2019 architecture for Big Data clusters. After a brief introduction to Recommender Systems, we will load product ratings to HDFS and link them to the customer and product data in SQL using Polybase. Then we will explore the dataset using Spark, Python and Data Studio and ultimately create a Training and Validation split. In the next step, we will train the Recommendation engine in Spark and persist the model to HDFS. Every step will be performed within the same SQL Server 2019 BDC cluster showcasing the incredible capabilities of SQL 2019. On-top, by building on SQL Server 2019 BDC and Kubernetes you can run your cluster locally, on premises, or in the cloud.
Speaker(s): Kaijisse Waaijer,
Abstract:
With the multitude of isolation levels, concurrency models, and specialist technologies available in SQL Server, it is no surprise that transaction throughput and correctness can be directly correlated to the ability and knowledge of the person that wrote the code. In this session, we will reveal how SQL Server concurrency and correctness often goes wrong, how we can avoid this, and how we can use our knowledge to design and develop for optimal server throughput for our applications and processes using tips and tricks gained from real-world scenarios. We will cover SQL Server’s traditional locking model, In-Memory OLTP, Columnstore, Delayed Durability, and many other technologies and techniques you can use to make your transactions more robust.
Speaker(s): Mark Broadbent,
Abstract:
With the vast amount of changes that occur in our daily business environments, it becomes more and more difficult to achieve our corporate goals without some ‘lighthouse’ to guide our way. Data mining, (while not a panacea to resolve or ‘control’ the effects of these changes), can provide us with statistical trends by analyzing our data and highlighting probable outcomes. In this hands on BEGINNERS presentation we shall be looking at Microsoft SQL Server’s Data Mining capabilities and we shall be discussing: 1) Defining what questions we want answered and how to go about this in an effective and efficient manner. 2) Creating the data model. 3) How to gather the necessary data, discussing the training and testing aspect. 4) Processing the model. 5) Extracting information from our finished model, discussing the implications of this information.
Speaker(s): Steve Simon,
Abstract:
Running SQL Server in containers has huge benefits for Data Platform professionals but there are challenges to running SQL Server in stand alone containers. Orchestrators provide a platform and the tools to overcome these challenges. This session will provide an overview of running SQL Server in Kubernetes, which is the leading orchestrator. Topics covered will be: - An overview of Kubernetes. Definition of deployments, pods, and services. Deploying SQL Server containers to Kubernetes. Persisting data for SQL Server in Kubernetes. This session is aimed at SQL Server DBAs and Developers who want to learn the what, the why, and the how to run SQL Server in Kubernetes.
Speaker(s): Andrew Pruski,
Abstract:
This session looks at the reporting technologies that are available from Microsoft for BI reporting. We will look at how Microsoft BI technologies can be used to meet a wide range of user needs, from personal BI to Enterprise-wide reporting. We will demo of various technologies can be used to meet your reporting needs and the similarities and differences between them. Topics: Excel, Power BI, SQL Reporting Services 2017, Power BI Server, Data Models, Self Service Reporting In this session we will see cover; - Organisational Information Needs - Data Modeling - Microsoft Reporting technologies overview - Demo on Key Reporting Technologies
Speaker(s): Mark Hayes,
Abstract:
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you. Yes, Data Factory can handle the orchestration of our ETL pipelines. But what about our wider Azure environment? In this session we’ll go beyond the basics looking at how we build custom activities, metadata driven dynamic design patterns for Data Factory. Plus, considerations for optimising compute costs by controlling other service scaling as part of normal data processing. Once we can hit a REST API with an ADF web activity anything is possible, extending our Data Factory and orchestrating everything.
Speaker(s): Paul Andrew,
Abstract:
Technology changes quickly - patterns and approaches less so. As we move towards distributed cloud architectures we will employ a range of disparate tools, the patterns that were designed for single box solutions may not be appropriate any more. We will first review the patterns and processes that underpin the Lambda architecture, providing advice and guidance on the tool sets and integration points between them. This intense, demo-packed session implements real-time reporting using the Lambda Architecture in Azure, demonstrating Azure Data Lake Store, Azure Databricks, Data Factory, SQL Datawarehouse and Stream Analytics. Time permitting, we will compare and contrast against an alternative pattern using Cosmos DB Spark Structured Streaming.
Speaker(s): Simon Whiteley,
Abstract:
In addition to the Data Vault approach being touted as the next generation data warehouse modelling technique, with the arrival of Data Vault 2.0 comes a complete data modelling, methodology and architectural offering. This talk will introduce you to the core Data Vault concepts including support for an agile data warehouse, how it can contribute to faster sprints, how it lends itself to automated data model creation, how the Hub, Link and Satellite design is a perfect fit for massively parallel data load and how to virtualize a Data Mart over a Data Vault. It will also cover how a single version of the facts edges out a single version of the truth. Demo: Using a SQL 2017 data source, we will orchestrate the extraction, transformation and load to a Data Vault data warehouse including an example virtualized Data Mart layer. The orchestration will take place using Azure Data Factory v2.
Speaker(s): Dan Galavan,
Abstract:
Imagine that you have been hard working in that amazing project, your SQL code has been tuned and contains new features and followed the standard that will be crucial for the success of this project. The deploy date has arrived and you have deployed early in the morning but some minutes after the deploy, the users started to call for reporting several issues in the different systems which are using the Databases that were part of your deployment, after stressful minutes, you realized some SQL code deployed were not the same that were tested and you must rollback your code. In this session, I'm going to show you how to avoid problems derived of mistakes during the development process through the proper use of source control code strategy which can combine the potential of GIT and SQL Server Data Tools (SSDT) for managing latest version, detecting changes, code review and deploying through environment without stress.
Speaker(s): Geovanny Hernandez,
Abstract:
Find out how a major UK hotel chain unified their wildly different sources of customer data to build a supercharged automated customer communication engine. Cosmos DB and Databricks where used to process and match customer data in real-time, helping them get to know their customers, how best to retain them, and how best to keep them happy, all while ensuring GDPR compliance. Learn how downstream systems received customer identifiers allowing tailored content to be produced in near real time, and how business users consumed the insights via Power BI Learn how scale up and scale down allowed us to meet challenges around massive initial data loads, without blowing the project budget. Find out what lessons were learned and what best practices helped ensure that the Cosmos DB, Azure Functions, Event Hubs and Azure Databricks instances all played harmoniously together. Hear how we used partitioning, indexing, scaling and other cloud design patterns to deliver incredible performance.
Speaker(s): Brynn Borton,
Abstract:
An Azure Data Studio recent release introduced SQL Notebooks as a capability. While you might have read about notebooks being used for Data Science, this session is for DBAs. You will see how you can use SQL Notebooks to simplify your work. You will learn about SQL Notebooks from installing them in Azure Data Studio to creating a Notebook for Glenn Berry's Diagnostic queries as well as numerous use cases for you to use in your daily workload
Speaker(s): Rob Sewell,
Abstract:
Implementing CI/CD on a database platform is never going to be straightforward! During this session, I will provide a high level overview of our pipeline, the tools we use, and some of the lessons we've learned along the way.
Speaker(s): Angela Ross Innes,
Abstract:
In this session Mary will demo building a Power BI solution using Low-Code/No-Code while using the principle of Keep it Simple Stupid. This will allow attendees to see how quickly you can build out an simple but effective solution with relative ease. She will also share some of her technics for creating a unique look and feel to the report that makes for a positive user experience, by using PowerPoint, Power BI Bookmarks the new Filter Pane. This session is for folks who are new to Power BI but should be of interest to fellow Power BI Pros.
Speaker(s): Mary Fealty,
Abstract:
Indexing in SQL Server is both - art and science. It is also never-ending process. Database schema, queries and workload change overtime, making old indexing strategy obsolete and leaving you with inefficient or unused indexes. In this session, Dmitri demonstrates several techniques that help you to perform index analysis in the system. You would learn how to detect unused and inefficient indexes, identify incorrect clustered indexes and choose the right candidates for consolidation and further index refactoring.
Speaker(s): Dmitri Korotkevitch,
Abstract:
Mission critical SQL Servers require right architecture to satisfy SLAs, high availability, and disaster recovery requirements for your critical IT operational data environment. The ability to scale up these environments, to provide the level of performance required by OLTP and provide adequate resources is a significant operational challenge.
Speaker(s): Marcelo Fernandes,
Abstract:
Just because you’re a technical rock star doesn’t mean your technical presentation is going to rock. And even if you own the room for technical presentations, you may find that your business presentations often fall short. This session is for veteran presenters as well as first-timers, offering prescriptive guidance and best practices for structuring, building, and delivering a compelling presentation every time—whether technical or non-technical. Effective and persuasive presentation skills are critical for survival and success in the workplace—this is a session worth checking out.
Speaker(s): Douglas McDowell,
Abstract:
The Geospatial and Hierarchical managed data types were introduced with SQL 2005 but are sadly seldom used (or understood) by most developers more than a decade later. In this session Peter Willmot will take you on a guided tour of these data types (along with the basics of SQL CLR integration with C#) and help you to understand the pros and cons of their inclusion in your database/application design.
Speaker(s): Peter Willmot,
Abstract:
There's an old adage in software development: Garbage In, Garbage Out. This adage certainly applies to data science projects: if you simply throw raw data at models, you will end up with garbage results. In this session, we will build an understanding of just what it takes to implement a data science project whose results are not garbage. We will use the Microsoft Team Data Science Process as our model for project implementation, learning what each step of the process entails. To motivate this walkthrough, we will see what we can learn from a survey of data professionals' salaries.
Speaker(s): Kevin Feasel,
Abstract:
Artificial Intelligence (AI) is bringing big changes in the way people and businesses relate to technology. As well as the arrival of the personal computer, the cloud computing and smartphones, the AI is the artificial technology that takes you to where you're going so much faster, intuitive and smart. In this session we will discuss the basics of IA and how we can apply it in our business using the Azure Cognitive Services.
Speaker(s): Vitor Fava,
Abstract:
A case study of how a monthly data load has evolved, from just loading data into a table, through some indexes being disabled before loading and enabled after data is loaded, to partitioning the table and loading into a staging table. The last Changes to the solution has taken loading time from eight hours down to 20 minutes, saving a whole day of work for the staff checking and refining the data. The presentation also includes some reflections on how partitioning the table has changed how both T-SQL and Entity Framework code is being written, to take advantage of partition elimination.
Speaker(s): Magnus Ahlkvist,
Abstract:
- SSIS gave you a graphical user interface for building your Extract, Transform and Load processes hosted in SQL Server - Azure Data Factory v1 gave you a UI for more scalable Extracting and Loading of data, but the Transformation plug-in was left up to you - Azure Data Factory v2 gave you more control over how your processes were triggered and the path through your steps (like the Control Flow in SSIS) - Now coming to ADF is Mapping Data Flows, a UI for building in Transformations into your ETLs, still taking full advantage of scalability in the cloud
Speaker(s): Daire Cunningham,
Abstract:
Short (5-10 mins.) talks on a variety of technical topics. All welcome - feel free to turn up and speak on the day!
Speaker(s): Mark Hayes,
Abstract:
Aimed mostly at administration and based on real life scenarios, in this audience interactive session we will go through some scenarios DBA's might encounter whilst dealing with SQL Server databases and you will be provided with some options about what to do. Members of the audience will then select from these options what to do and we will follow that path and see what the outcome is from there. Each selection will have a different outcome, and along the way you will probably learn some new things.
Speaker(s): Kevin Chant,
Abstract:
SQL disk configuration and planning can really hurt you if you get it wrong in azure. There is a lot more to getting SQL right on Azure VMs than next-next-next. Come along and chat to SQL Certified Architect, Bob Duffy, as we dive deeper into azure storage for SQL. Topics covered include: - SQL storage Capacity Planning concepts - Understanding Storage Accounts, VM limits, and disk types - Understanding and planning around throttling. - Benchmarking - Optimising SQL configuration to match Azure disk layout: - Hitting “max” disk throughput
Speaker(s): Bob Duffy,
Abstract:
Have you heard that knowing machine learning is the easiest way to get rich quickly? Let’s test this statement. Kaggle is the place to do data science projects, why not to start there? During this session we will solve simple Kaggle competition. Actually, we will submit two solutions. The first made with super-duper deep neural network (black-box approach). Then we will follow proven ML methodologies and solve the problem methodically. All that using SQL Server Machine Learning Services. Minimum slides and maximum fun guaranteed.
Speaker(s): Marcin Szeliga,
Abstract:
Power BI is the shiny new tech for processing and visualizing data in the Microsoft Data Platform. However, the plumbing in the background does need managing (even if it is cloud-based and supposedly automagic). In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell! You'll leave the session with an overview of the management capabilities of Power BI and couple that knowledge with the awesome power (and automation possibilities) of PowerShell
Speaker(s): Craig Porteous,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
“Kaijisse Waaijer is an experienced technologist, specializing in Data Platforms, Machine learning and IoT. She is an Erasmus University graduate and currently undergoing her Master’s degree in the field of Health Economics with Econometric context at Erasmus University combined with previous attendance at Tilburg University. Kaijisse currently works for Microsoft EMEA as a Data Platform Consultant, specializing in Data Science, Machine learning and Big Data. She constantly works with customers across multiple industries as their trusted tech advisor, helping them optimize their organizational data creating better outcomes and business insights that drives value, using Microsoft technologies.
LinkedIn: https://www.linkedin.com/profile/view?id=126446983amp;trk=hp-identity-name
Contact: http://sqlserver-performance-tuning.net/
Shehab El-Najjar was the ONLY Microsoft SQL Server MVP in Gulf for the past 6 years and the 2nd one all over the Middle East , he is the founder of SQL Gulf events series (SQL Gulf #1 , #2 and #3 ) where he spent so much time and efforts to broadcast Microsoft SQL Server technologies all over the Gulf such as KSA and Emirates and other Gulf cities ahead ..) He is now Professional Services Manager at Saudi Emircom He was previously COO and business leader in KSA market through his startup WAJA IT for 3 years He is an influencing Database community leader all over the region A senior Database Consultant (SQL Server MVP for 6 years in row) -The 2nd MVP awardee SQL Server all over Middle East and Arabic region
LinkedIn: https://www.linkedin.com/in/craigporteous/
Contact: https://craigporteous.com
Craig is a Data Platform MVP working with Incremental Group as a Data Engineer. He has more than 10 years working with the Microsoft Data Platform and related technologies, supporting global BI Environments, automating processes with PowerShell and implementing BI Solutions. Craig is actively involved in the SQL community as a co-leader of the Glasgow SQL User group creator of the DATA:Scotland Conference in Scotland.
LinkedIn: https://www.linkedin.com/in/markhayes/
Mark Hayes (Certified Business Intelligence Professional (CBIP), MPP - Data Science, MPP - Big Data) is a freelance Microsoft Data Platform consultant and has worked with Microsoft data technologies since 2000 with a wide range of national and international companies. He is a regular speaker on Microsoft Data Platform topics and co-leader of the Cork SQL User Group and the Cork SQL Saturday.
LinkedIn: https://www.linkedin.com/pub/dan-galavan/3/104/3b7
Contact: https://galavan.com/blog/
Dan has been working with databases for 20 years. He has delivered data platform solutions in Ireland and Germany in a variety of industries including Retail, Corporate and Investment Banking, Aerospace, CRM, Social Protection, Telecoms, and Health Product Regulation. Specializes in database design development, data migration, analytics, master data management, enterprise data warehousing, data solution architecture, and the data life-cycle in general. Regular contributor to SQL Server User Group community. Data Vault 2.0 certified practitioner. Member of the Munich Colmcilles European Gaelic Football League winning team...a long time ago!
LinkedIn: https://br.linkedin.com/in/vitorfava
Contact: https://www.vitorfava.com
I'm a DBA with extensive experience in the areas of Database and Information Technology, working on planning, implementation, and maintenance of large corporate database servers. I have several professional certifications and good experience in development activities and management of entrepreneurial environments using SQL SERVER. I'm a speaker at various technology events such as SQL Saturday, The Developers Conference, InteropMix and also in various discussion groups focused on database technology. I teach advanced training in SQL Server and Azure SQL Database and also acting as MCT in Microsoft official training. I'm the Chapter Leader of SQLManiacs PASS chapter.
Peter has been writing software (and teaching folk how to write software) for over 30 years. He has worked with SQL Server as an architect and developer for more than 20 years (since SQL 4.2) and has also worked extensively with the .Net and various other development platforms. Peter is a past MSDN Regional Director and was also an MVP (SQL Server and Architecture) for many years. He is a passionate and regular speaker and various industry events around the world.
LinkedIn: http://se.linkedin.com/in/magnusahlkvist
Contact: http://www.tsql.nu
Independent database consultant and certified trainer with a passion for chasing that extra millisecond. 20 years of database development and administration but trying to be humble enough to understand that I'm still learning.
LinkedIn: http://www.linkedin.com/in/dairecunningham
Daire Cunningham is the Business Intelligence Practice Lead in Spanish Point Technologies, an award winning software company working with Microsoft technologies to provide business systems which remove complexity, increase productivity and connect users to critical business information. He has over twenty years’ experience working with Microsoft technologies including working with some of the earliest Microsoft BI products. Recent projects have included analysis and reporting on National Patient Waiting list data for the NTPF and order payment and fulfilment data-processing for eShopWorld
LinkedIn: https://uk.linkedin.com/pub/simon-whiteley/32/994/aa8
Contact: http://blogs.adatis.co.uk/blogs/simonwhiteley/
Simon Whiteley is the Director of Engineering for Advancing Analytics Ltd and a Microsoft Data Platform MVP. Simon is a seasoned solution architect and technical lead with well over a decade of Microsoft Analytics experience. A deep techie with a focus on emerging cloud technologies and applying "big data" thinking to traditional analytics problems, Simon also has a passion for bringing it back to the high level and making sense of the bigger picture. When not tinkering with tech, Simon is a death-dodging London cyclist, a sampler of craft beers, an avid chef, and a generally nerdy person.
LinkedIn: https://www.linkedin.com/in/maryfealty/
Mary Fealty - Power BI Evangelist Mary is an old gamer who replaced her enjoyment of gaming with working with data. That’s how satisfying working with data is to her. She has been a massive fan of Power BI from its infancy to now. She makes her living from Power BI, as owner of Broadtree Solutions. Broadtree Solutions develop business intelligence, consult also provide training on Power BI. Based in Belfast, covering the UK Ireland. She can also be spotted on Game of Thrones, as a Wildling.
LinkedIn: https://www.linkedin.com/in/mrpaulandrew
Contact: https://mrpaulandrew.com/
Paul Andrew is a principal consultant and architect, specializing in big data solutions on the Microsoft Azure cloud platform. Paul's data engineering competencies include Azure Data Factory, Data Lake, Databricks, Stream Analytics, Event Hub, IoT Hub, Functions, Automation, Logic Apps, and of course the complete SQL Server Business Intelligence stack. He has many years’ experience working within healthcare, retail, and gaming verticals, delivering analytics using industry leading methods and technical design patterns. Paul is a STEM ambassador and a very active member of the data platform community delivering training and technical sessions at conferences both nationally and internationally. He is a father, husband, swimmer, cyclist, r
LinkedIn: http://www.linkedin.com/in/dmcdowell
Douglas McDowell is Chief Strategy Officer for SentryOne. He is a 10-year recipient of Microsoft's MVP award for Data Platform (and SQL Server), has served as a PASS volunteer (Chapter Leader, Regional Mentor, Board member) since 2001 and a member of the Microsoft Partner Advisory Council for Business Data Platform and Business Analytics (DPBA PAC) since 2005. He has lots of degrees and constantly applies his dry, cutting self-deprecating humor to most situations,
Christoph works as a BI Architect for KI Performance. With SQL Server and its BI Stack he is dealing for more than 15 years. He is cofounder and chapter leader of the German PASS chapter of Hannover, Visiting Lecturer at the University of Hildesheim and regular speaker at conferences and German PASS events on DWH topics and agile project management.
LinkedIn: http://www.linkedin.com/in/retracement
Contact: http://tenbulls.co.uk
Mark Broadbent is a Data Platform MVP and SQL Server MCM with more than 20 years of experience working with SQL Server and principal of SQLCloud, a consultancy specializing in concurrency control and highly available solutions. He is the founder of the UK's SQLSaturday Cambridge (its first and largest), SharePoint Saturday Cambridge, the Hybrid Virtual Chapter and the East Anglia SQL User Group.
LinkedIn: https://pl.linkedin.com/in/marcinszeliga
Data Philosopher. Since 2006 invariably awarded Microsoft Most Valuable Professional title in the Data Platform category. A speaker at numerous conferences across Europe, as well as at user groups meetings. The author of many books and articles devoted to Microsoft Data Platform. An independent consultant, database-centric application practitioner and architect totally focused on SQL Server and Azure. Huge fan of Data Science and Machine Learning.
LinkedIn: https://uk.linkedin.com/in/robsewellsqldba
Contact: http://sqldbawithabeard.com
Rob was once a production SQL Server DBA, but is now generally found automating the Data Platform and providing training for clients. He has a passion for PowerShell, Data, and DevOps. He is an MVP, an officer for the DevOps PowerShell VG, and has spoken and volunteered at many PowerShell and Data events. He is a member of the committee that organises Data In Devon and the European PowerShell Conference. He is a proud supporter of the Data and PowerShell communities. He relishes sharing and learning and can be found doing both via Twitter @sqldbawithbeard and his blog sqldbawithabeard.com. He spends most of his time looking at a screen and loves to solve problems.
LinkedIn: https://www.linkedin.com/pub/dmitri-korotkevitch/5/980/b7
Contact: http://aboutsqlserver.com
Dmitri Korotkevitch is a Microsoft Data Platform MVP and Microsoft Certified Master, author of Pro SQL Server Internals and other books with years of experience working with SQL Server as an Application and Database Developer, Database Administrator, and Database Architect. Dmitri specializes in the design, development, and performance tuning of complex OLTP systems that handle thousands of transactions per second around the clock. He blogs at: http://aboutsqlserver.com.
LinkedIn: https://br.linkedin.com/in/marcelodba
Contact: http://marcelodba.wordpress.com
Marcelo Fernandes is SQL Server MVP and has 12+ years experience with databases, specialized in High Availability, critical missions and very large databases. He holds the MCP / MCDBA / MCSA / MCTS / MCITP and MCT certifications, he lives and works in Berlin for an American e-commerce company that sells home goods. He share their knowledge through webcasts, presentations and articles on Microsoft technologies and can be cantacted by email<EMAIL_ADDRESS>or twitter @ marcelodba
LinkedIn: https://www.linkedin.com/in/angela-ross-innes-a108752a/
I'm a SQL Server DBA, previously a SQL Developer with over 13 years experience, currently working for Verizon Connect in Dublin
LinkedIn: https://www.linkedin.com/in/markhayes/
Mark Hayes (Certified Business Intelligence Professional (CBIP), MPP - Data Science, MPP - Big Data) is a freelance Microsoft Data Platform consultant and has worked with Microsoft data technologies since 2000 with a wide range of national and international companies. He is a regular speaker on Microsoft Data Platform topics and co-leader of the Cork SQL User Group and the Cork SQL Saturday.
LinkedIn: https://www.linkedin.com/in/brynn-borton-a114bb2/
Brynn is a Azure Data Platform Architect and Principal Consultant with over 20 years’ experience working for various Microsoft gold partners. After initially starting his career building enterprise .NET solutions Brynn decided to focus on building Microsoft data focused solutions around 10 years ago. Brynn consults for Altius Ltd and currently works with a number of clients in the Hospitality and Retail Sector. Being very early adopters in helping clients move their data to the Azure cloud, Brynn has over 5 years hands on experience implementing what we would describe as the Azure Modern Data Platform.
LinkedIn: https://www.linkedin.com/in/andrewpruski
Contact: https://dbafromthecold.com/
SQL Server DBA with over 10 year's experience. Originally from Wales but now living in Ireland
LinkedIn: http://www.linkedin.com/in/stephenrsimon/
Contact: http://www.sqlservercentral.com/blogs/simon_says/
Steve Simon is a Database Solutions Architect with Business Knowledge Services Inc. He has been involved with database design and analysis for over 35 years. Steve has presented papers at numerous PASS Summits and PASS SQL Rallies. He is also regular presenter on the SQL Saturday circuit and he is a contributor on SQLShack.com
LinkedIn: http://uk.linkedin.com/in/richardpdouglas
Contact: http://SQL.RichardDouglas.co.uk
Lord Richard Douglas is a Principal Solutions Engineer at SentryOne, where he specialises in the SQL Server product range. He has worked with SQL Server since version 7.0 in various developer and DBA roles and holds a number of Microsoft certifications. Richard is a keen member of the SQL Server community, having run a PASS Chapter in the UK and having served on the organizing committee for SQLRelay. Richard is on Twitter as @SQLRich.
LinkedIn: https://www.linkedin.com/in/geovannyhernandez
Contact: https://geohernandez.net/
Geovanny Hernandez is a Database Engineer and Microsoft Certified Trainer with more than twelve years of experience in software development, passionate for performance tuning in MS SQL Server, Unit Testing and Python. In addition, Geovanny collaborates with MS SQL Server community as a speaker on different sessions for PASS Malaga (Spain chapter) and virtual events for students and professionals in Universities from Nicaragua (Central America) as well in PASS Marathon and international events as SQLBits and SQLSaturday. He is passionate about Databases and teaching, who is Microsoft Certified Solution Associate in SQL Server professional and Microsoft Certified Trainer.
Contact: http://blogs.prodata.ie/author/bob.aspx
Bob Duffy is a SQL Server MVP from Dublin, Ireland who is MCA, MCM. and Analysis Services Maestro certified. Bob works as a Database Architect at the Prodata SQL Centre of Excellence where he specializes in business intelligence and performance tuning.
LinkedIn: https://www.linkedin.com/pub/kevin-feasel/7/716/504
Contact: http://www.catallaxyservices.com
Kevin Feasel is a Microsoft Data Platform MVP and CTO at Envizage, where he specializes in data analytics with T-SQL and R, forcing Spark clusters to do his bidding, fighting with Kafka, and pulling rabbits out of hats on demand. He is the lead contributor to Curated SQL (https://curatedsql.com), president of the Triangle Area SQL Server Users Group (https://www.meetup.com/tripass), and author of PolyBase Revealed (https://www.apress.com/us/book/9781484254608). A resident of Durham, North Carolina, he can be found cycling the trails along the triangle whenever the weather's nice enough.
LinkedIn: https://www.linkedin.com/in/kevin-chant/
Contact: https://www.KevinRChant.com/
Senior Database Architect originally from the UK and now living in the Netherlands. Over 23 years experience in the IT sector, and has supported databases for companies in the top 10 of the fortune 500 list. In addition to a lot of SQL Server experience also has a fair few Microsoft Certifications. In addition, was probably the last ever person in the world to gain the MCSD Azure Architect certification and has gained the latest Microsoft DevOps Engineer Expert certification. Has real life experience with SQL Server and Azure Devops. Currently SQL Server Product Owner of around 1,900 instances. In addition, done various things over the years for the Data Platform Community.
The following is a list of sponsors that helped fund the event.


[gecode-users] Memory issues with repeated execution of the script
Jan Kelbel
kelbelj at fel.cvut.cz
Wed Jun 15 17:33:03 CEST 2011
Hi,
I found the following strange behavior of Gecode 3.5.0 when using 32bit
windows binaries in Win XP and MS Visual Studio 2008:
When the problem is infeasible and the total number of used nodes is 0,
some memory is not released, and when the script is executed repeatedly,
the consumed memory increases.
See the attached file, which is queens.cpp from the examples, where are
two added lines denoted by comment //JK: ...
When nodes > 0
for example, use constraint
rel(*this,q[0] ==q[1]);
instead of
rel(*this,q[0] > n);
then the memory consumption is not increasing.
Am I using Gecode in a wrong way?
Cheers, Jan
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NO-TILL ESTABLISHMENT OF SWITCHGRASS AND CAUCASIAN BLUESTEM by
James R. McKenna
Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in
Agronomy
APPROVED:
Dale D. Wolf, Chairmari ,
“Marcus M. All B, S¢ott Hagood
7 Davig/. Parrish Harlan E. White
May 9, 1988 Blacksburg, Virginia


|
l8w8jwt
|
#include <encode.h>
Public Attributes | |
| int | alg |
| char * | iss |
| size_t | iss_length |
| char * | sub |
| size_t | sub_length |
| char * | aud |
| size_t | aud_length |
| char * | jti |
| size_t | jti_length |
| time_t | exp |
| time_t | nbf |
| time_t | iat |
| struct l8w8jwt_claim * | additional_header_claims |
| size_t | additional_header_claims_count |
| struct l8w8jwt_claim * | additional_payload_claims |
| size_t | additional_payload_claims_count |
| unsigned char * | secret_key |
| size_t | secret_key_length |
| unsigned char * | secret_key_pw |
| size_t | secret_key_pw_length |
| char ** | out |
| size_t * | out_length |
Struct containing the parameters to use for creating a JWT with l8w8jwt.
| struct l8w8jwt_claim* l8w8jwt_encoding_params::additional_header_claims |
[OPTIONAL] Array of additional claims to include in the JWT's header like for example "kid" or "cty"; pass NULL
if you don't wish to add any!
Avoid header claims such as typ
and alg
, since those are written by the encoding function itself.
| size_t l8w8jwt_encoding_params::additional_header_claims_count |
[OPTIONAL] The additional_header_claims array size; pass 0
if you don't wish to include any custom claims!
| struct l8w8jwt_claim* l8w8jwt_encoding_params::additional_payload_claims |
[OPTIONAL] Array of additional claims to include in the JWT's payload; pass NULL
if you don't wish to add any!
Registered claim names such as "iss", "exp", etc... have their own dedicated field within this struct: do not include those in this array to prevent uncomfortable duplicates!
| size_t l8w8jwt_encoding_params::additional_payload_claims_count |
[OPTIONAL] The additional_payload_claims array size; pass 0
if you don't wish to include any custom claims!
| int l8w8jwt_encoding_params::alg |
The signature algorithm ID.
[0;2] = HS256/384/512 | [3;5] = RS256/384/512 | [6;8] = PS256/384/512 | [9;11] = ES256/384/512
| char* l8w8jwt_encoding_params::aud |
[OPTIONAL] The audience claim (who is the JWT intended for? Who is the intended JWT's recipient?). Set this to NULL
if you don't wish to add this claim to the token.
| size_t l8w8jwt_encoding_params::aud_length |
aud claim string length.
| time_t l8w8jwt_encoding_params::exp |
Expiration time claim; specifies when this token should stop being valid (in seconds since Unix epoch).
If you want to omit this, set this to 0
, but do NOT FORGET to set it to something, otherwise it will be set to whatever random value was in the memory where this variable resides.
| time_t l8w8jwt_encoding_params::iat |
"Issued at" timestamp claim; specifies when this token was emitted (in seconds since Unix epoch).
If you want to omit this, set this to 0
, but do NOT FORGET to set it to something, otherwise it will be set to whatever random value was in the memory where this variable resides.
| char* l8w8jwt_encoding_params::iss |
[OPTIONAL] The issuer claim (who issued the JWT?). Can be omitted by setting this to NULL
.
| size_t l8w8jwt_encoding_params::iss_length |
iss claim string length.
| char* l8w8jwt_encoding_params::jti |
[OPTIONAL] The JWT ID. Provides a unique identifier for the token. Can be omitted by setting this to NULL
.
| size_t l8w8jwt_encoding_params::jti_length |
jti claim string length.
| time_t l8w8jwt_encoding_params::nbf |
"Not before" time claim; specifies when this token should start being valid (in seconds since Unix epoch).
If you want to omit this, set this to 0
, but do NOT FORGET to set it to something, otherwise it will be set to whatever random value was in the memory where this variable resides.
| char** l8w8jwt_encoding_params::out |
Where the encoded token should be written into (will be malloc'ed, so make sure to l8w8jwt_free()
this as soon as you're done using it!).
| size_t* l8w8jwt_encoding_params::out_length |
Where the output token string length should be written into.
| unsigned char* l8w8jwt_encoding_params::secret_key |
The secret key to use for signing the token (e.g. if you chose HS256 as algorithm, this will be the HMAC secret; for RS512 this will be the private PEM-formatted RSA key string, and so on...).
| size_t l8w8jwt_encoding_params::secret_key_length |
Length of the secret_key
| unsigned char* l8w8jwt_encoding_params::secret_key_pw |
If the secret key requires a password for usage, please assign it to this field.
You can only omit this when using JWT algorithms "HS256", "HS384" or "HS512" (it's ignored in that case actually).
Every other algorithm requires you to at least set this to NULL
if the secret_key isn't password-protected.
| size_t l8w8jwt_encoding_params::secret_key_pw_length |
The secret key's password length (if there is any). If there's none, set this to zero!
| char* l8w8jwt_encoding_params::sub |
[OPTIONAL] The subject claim (who is the JWT about?). Set to NULL
if you don't want it in your token.
| size_t l8w8jwt_encoding_params::sub_length |
sub claim string length.


Kirill left to go to the forest early in the morning, ignoring our suggestions to attend ceremony with Javier. I let him go without any resistance. Alex and myself spent the day relaxing, visiting the market and the beach. While we were swimming in the beautifully warm water, we saw a great rainbow hanging over the lake, each color distinct and clear, from violet at the bottom, to red at the top. On the dock were a group of youths, all of the girls beautiful and full of life. The hanging vines and lush greens of the tropics were gorgeous. The entire scene looked magical and reminiscent of Krishna´s pastimes with the Gopis in the forest of Vrindavan.
After we got back home, I took a nap for a few hours, and shortly after 9, we left for Javier´s. Alex was very excited, but I felt slightly ill to my stomach, a little bit nauseous. When I drank the purga, I could barely hold it in. The first two emergencies were people on the edge of death. As they were being cured, Javier and his assistants and students vomited profusely, over and over. The energies of the patients were leaving their bodies and manifesting in the bodies of the healers. These energies took shape physically and were vomited out. I saw this clearly in my vision.
As the first two people were cured, there were strange noises in the room. Once or twice, very loud banging came from the wall on my left, as if a very heavy object had fallen over. The first hour was difficult, but after the really ill patients left, the energy got lighter.
Earlier, when I asked Javier what the aim of today's ceremony was, he said it was to finish cleaning out my body and closing it to external energies, making me ready to travel. My focus was mostly on my own personal healing and cleansing. I was only served half a cup, and did not really have any strong visions. It was very different from what happened on Wednesday and on Thursday. I purged a lot, probably between 1.5 and 2 liters of liquid came out, with lots of white phlegm.  You are a great being,”
Although I didn't have many visions, I had many understandings and realizations. I saw the ring of protection that I asked Javier for. The ring was smaller than the one Javier had, and was positioned on somebody's middle finger. When I looked at Javier's hand later on, I saw that he was wearing his ring on his middle finger, just as I saw it. When Javier called Alex for a healing, he offered Alex a ring as well. Alex said that he wanted a smaller ring. Thus, it appeared that what I saw in my vision was Alex's ring.
I saw in a vision that I should not eat animal foods. I could feel the flesh of the fish that I ate earlier in my stomach, and it did not sit easily or feel good. While Javier sang a song calling the black boa snake, I saw in a vision that very same snake. I thought that the black boa, if it really has the abilities and powers to heal, must be an extraterrestrial being. Species like the boa and other animals that shamans call to cure their patients must be more spiritually advanced beings than humans in order to be able to heal. However, unlike us, they prefer to stay low profile. The same is even more true for plant species such as the sacred Ayahuasca.
I saw in another vision the truth of how Ninfa came to me. It was by Amma's blessing and by the power of the rudraksha bead I bought from Amma in Detroit. That bead did it's job, bringing Ninfa into my life within a month.
I had another vision, in which the melodies of the healing songs that were being whistled took visual form. Individual notes were like rays of light, while the melodies, the positioning of the notes, bent and twisted these rays of light into various shapes. The shamans who were singing were creating their melodies based on this principle. In this way, I understood that inner vision, creativity, and imagination are very important. I saw that these qualities come from God, and therefore have infinite transformative and healing potential. I saw that aside from the love in our heart, creativity and imagination are the most important and divine qualities we have.
I also had an insight about Javier's songs, and their mechanism of healing. I saw the harmonies and melodies of the songs as designs, the vibrations of which rearranged the very structure of reality. When I put this idea forward to Javier, he confirmed that I was right. “The songs change reality”, he said.
Ninfa entered my mind briefly. I thought that I shouldn't push her or force her to do anything in any way, but that she should rather make her own decisions. A sadness came over me in relation to Sonya, my beautiful dog who has been suffering from an infection for some time now. I had asked Javier to heal her, but he could not promise certain results, because his doctors did not work with animals. Still he agreed to help Sonya after I told him that she was a true member of our family. For some of the ceremony, I quietly prayed for her.
I also had realizations about Javier – about how he works and why he does what he does. In the three days I worked with Javier this week, I saw him heal a wide range of illnesses and bring several people back from the jaws of death. I also heard him asking for money. For example, he told my friend Cory that his mother has cancer and needs a psychic operation. The cost of the operation would be 400 dollars. Certainly, it is not very much money to save a life, and conventional medicine would have cost much more, but a question rose in Cory's mind “Why does he charge this money? Can't he do it for free?” This inevitable question arises in almost everyone.
There are many people who come to Javier to whom he recommends a certain procedure, which they decide not to do, not wanting to spend their money. During the conference, I heard plenty of people talking about Javier as if he was a greedy crook. I myself fell into the money trap, not wanting to pay Javier the 100 dollars he wanted for the cleaning of my stomach. I thought that my stomach issue would go away by itself. Of course, it didn't.
After I decided to not return to Javier's, which happened as the result of speaking with the wrong people, all kinds of unpleasant things happened to me. First of all, I got robbed. Then, I got two kinds of malaria. The medications I had to take for malaria were almost worse than the disease itself, and for 10 days, I felt terrible. In this way, at least half of my first month in Peru was a crazy series of unfortunate events, which would have certainly been prevented if I had gone to see Javier as he told me on my first day in Iquitos.
As I sat on the toilet, I thought about what Javier does with the money. He has nothing of value in his house, doesn't wear expensive clothes, jewelry, or watch. He doesn't even have a house phone. Then what does he do with the money he earns from the foreigners? He must give it away, because there is no sign of him using it for himself.
I saw very clearly in my spiritual vision how the laws of giving and receiving work. One cannot receive without giving in return. How much one is asked to give is relative to how much he has. Those who are very poor can give very little or give nothing, while those who have a lot can give a lot. This rule appears to be the foundation of Javier's work. Over this past week, the question of money came up a number of times during ceremonies, and I saw money as a great obsticle on the path. I saw Javier teaching the people to give, teaching them a very important lesson, knowing that those who give will receive many times as much. Humanity needs to get over this block, this wall called money. As long as money rules over our heart, we are living in illusion. Without selfishness, there is no difficulty involved in giving money away. Especially to those who need it. This theme had been present in my visions a number of times over the last few days.
Although Javier promised to heal Sonya and also worked on Alex's neck, he did not ask us for any more money. I think because we were able to pay from the heart already, there was no reason to actually ask us to pay. Those who have an emotionally hard time paying will be asked to pay, while those who can give easily will not be asked to pay anything. In this way, Javier's center is like a school, a spiritual university.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{{ description }}
The default styles of this component can be customized using these Sass variables in your project's settings file.
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${{this.context.name}} |
{{sassTypes this.type}} | {{sassValue this.context.value}} |
{{md this.description}} |
We use these mixins to build the final CSS output of this component. You can use the mixins yourself to build your own class structure out of our components.
{{#each sass.mixin}}{{#filter this}}Added in {{this.since.0.version}}
{{/if}} {{#if this.deprecated}}Deprecated in {{this.deprecated}}
{{/if}}{{writeMixin this}}
Aliases: {{#each this.aliased}}{{this}}()
{{/each}}
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${{this.name}} |
{{sassTypes this.type}} | {{sassValue this.default}} |
{{md this.description}} |
Added in {{this.since.0.version}}
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{{/if}}{{writeFunction this}}
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${{this.name}} |
{{sassTypes this.type}} | {{sassValue this.default}} |
{{md this.description}} |
The file {{meta.filename}}
must be included in your JavaScript to use this plugin, along with foundation.core.js
.{{#if requires}} This plugin also requires these utility libraries:{{/if}}
{{jsModuleName this}}
To import as an AMD module (for use with RequireJS):
define(['{{memberof}}.{{name}}'], function({{name}}) {
});
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var {{name}} = require('{{memberof}}.{{name}}');
Note that when importing plugins with module loaders, the plugins are not initialized by default. They must be manually registered with Foundation, like this:
var {{name}} = require('{{memberof}}.{{name}}');
Foundation.plugin({{name}});
var elem = new Foundation.{{this.name}}(element);
Fires these events: {{#each this.fires}} {{this}} {{/each}}
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Use these options to customize an instance of {{title}}. Plugin options can be set as individual data attributes, one combined data-options
attribute, or as an object passed to the plugin's constructor. Learn more about how JavaScript plugins are initialized.
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These events will fire from any element with a {{title}} plugin attached.
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Fires these events: {{#each this.fires}} {{this}} {{/each}}
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Building Blocks is a ZURB-curated resource with useful code snippets that use Foundation components. Here are a few for this component:
These are placeholder items. If you have ideas for building blocks for this component, we're taking ideas on GitHub.


In many cases, JAR files are not just simple archives of java classes files and/or resources. They are used as building blocks for applications and extensions. The META-INF directory, if it exists, is used to store package and extension configuration data, including security, versioning, extension and services.
Groups of name-value pairs are known as a "section". Sections are separated from other sections by empty lines.
Binary data of any form is represented as base64. Continuations are required for binary data which causes line length to exceed 72 bytes. Examples of binary data are digests and signatures.
Implementations shall support header values of up to 65535 bytes.
All the specifications in this document use the same grammar in which terminal symbols are shown in fixed width font and non-terminal symbols are shown in italic type face.
; Also: To prevent mangling of files sent via straight
e-mail, no
; header will start with the four letters "From".
Non-terminal symbols defined in the above specification will be referenced in the following specifications.
The main section contains security and configuration information about the JAR file itself, as well as the application or extension that this JAR file is a part of. It also defines main attributes that apply to every individual manifest entry. No attribute in this section can have its name equal to "Name". This section is terminated by an empty line.
The individual sections define various attributes for packages or files contained in this JAR file. Not all files in the JAR file need to be listed in the manifest as entries, but all files which are to be signed must be listed. The manifest file itself must not be listed. Each section must start with an attribute with the name as "Name", and the value must be a relative path to the file, or an absolute URL referencing data outside the archive.
If there are multiple individual sections for the same file entry, the attributes in these sections are merged. If a certain attribute have different values in different sections, the last one is recognized.
Attributes which are not understood are ignored. Such attributes may include implementation specific information used by applications.
In the above specification, attributes that can appear in the
main section are referred to as main attributes, whereas attributes
that can appear in individual sections are referred to as per-entry
attributes. Certain attributes can appear both in the main section
and the individual sections, in which case the per-entry attribute
value overrides the main attribute value for the specified entry.
The two types of attributes are defined as follows.
Manifest-Version: 1.0 Created-By: 1.2 (Sun Microsystems Inc.) Sealed: true Name: foo/bar/ Sealed: false
It means that all the packages archived in a.jar are sealed, except that package foo.bar is not.
The per-entry attributes fall into the following groups:
java.security
API. Every file
entry, including non-signature related files in the
META-INF
directory, will be signed if the JAR file is
signed by the jarsigner tool. The signature related files are:
META-INF/MANIFEST.MF
META-INF/*.SF
META-INF/*.DSA
META-INF/*.RSA
META-INF/SIG-*
META-INF
subdirectories, they are not considered signature-related.
Case-insensitive versions of these filenames are reserved and will
also not be signed.
Subsets of a JAR file can be signed by using the
java.security
API. A signed JAR file is exactly the
same as the original JAR file, except that its manifest is updated
and two additional files are added to the META-INF
directory: a signature file and a signature block file. When
jarsigner is not used, the signing program has to construct both
the signature file and the signature block file.
For every file entry signed in the signed JAR file, an individual manifest entry is created for it as long as it does not already exist in the manifest. Each manifest entry lists one or more digest attributes and an optional Magic attribute.
.SF
. The major part of the file is similar to the
manifest file. It consists of a main section which includes
information supplied by the signer but not specific to any
particular jar file entry. In addition to the
Signature-Version
and Created-By
attributes (see Main Attributes),
the main section can also include the following security
attributes:
java.security.MessageDigest
algorithm): The value
of this attribute is the digest value of the main attributes of the
manifest.java.security.MessageDigest
algorithm): The value of
this attribute is the digest value of the entire manifest.Paths or URLs appearing in the manifest file but not in the signature file are not used in the calculation.
Verify the signature over the signature file when the manifest is first parsed. For efficiency, this verification can be remembered. Note that this verification only validates the signature directions themselves, not the actual archive files.
If an x-Digest-Manifest
attribute exists in the
signature file, verify the value against a digest calculated over
the entire manifest. If more than one
x-Digest-Manifest
attribute exists in the signature
file, verify that at least one of them matches the calculated
digest value.
If an x-Digest-Manifest
attribute does not exist in
the signature file or none of the digest values calculated in the
previous step match, then a less optimized verification is
performed:
If an x-Digest-Manifest-Main-Attributes
entry
exists in the signature file, verify the value against a digest
calculated over the main attributes in the manifest file. If this
calculation fails, then JAR file verification fails. This decision
can be remembered for efficiency. If an
x-Digest-Manifest-Main-Attributes
entry does not exist
in the signature file, its nonexistence does not affect JAR file
verification and the manifest main attributes are not verified.
Verify the digest value in each source file information section in the signature file against a digest value calculated against the corresponding entry in the manifest file. If any of the digest values don't match, then JAR file verification fails.
One reason the digest value of the manifest file that is stored
in the x-Digest-Manifest
attribute may not equal the
digest value of the current manifest file is that one or more files
were added to the JAR file (using the jar tool) after the signature
(and thus the signature file) was generated. When the jar tool is
used to add files, the manifest file is changed (sections are added
to it for the new files), but the signature file is not. A
verification is still considered successful if none of the files
that were in the JAR file when the signature was generated have
been changed since then, which is the case if the digest values in
the non-header sections of the signature file equal the digest
values of the corresponding sections in the manifest file.
For each entry in the manifest, verify the digest value in the manifest file against a digest calculated over the actual data referenced in the "Name:" attribute, which specifies either a relative file path or URL. If any of the digest values don't match, then JAR file verification fails.
Example manifest file:
Manifest-Version: 1.0 Created-By: 1.7.0 (Sun Microsystems Inc.) Name: common/class1.class SHA-256-Digest: (base64 representation of SHA-256 digest) Name: common/class2.class SHA1-Digest: (base64 representation of SHA1 digest) SHA-256-Digest: (base64 representation of SHA-256 digest)The corresponding signature file would be:
Signature-Version: 1.0 SHA-256-Digest-Manifest: (base64 representation of SHA-256 digest) SHA-256-Digest-Manifest-Main-Attributes: (base64 representation of SHA-256 digest) Name: common/class1.class SHA-256-Digest: (base64 representation of SHA-256 digest) Name: common/class2.class SHA-256-Digest: (base64 representation of SHA-256 digest)
The Magic attribute is optional but it is required that a parser understand the value of an entry's Magic key if it is verifying that entry's signature.
The value or values of the Magic attribute are a set of comma-separated context-specific strings. The spaces before and after the commas are ignored. Case is ignored. The exact meaning of the magic attributes is application specific. These values indicate how to compute the hash value contained in the manifest entry, and are therefore crucial to the proper verification of the signature. The keywords may be used for dynamic or embedded content, multiple hashes for multilingual documents, etc.
Here are two examples of the potential use of Magic attribute in the manifest file:
Name: http://www.example-scripts.com/index#script1 SHA-256-Digest: (base64 representation of SHA-256 hash) Magic: JavaScript, Dynamic Name: http://www.example-tourist.com/guide.html SHA-256-Digest: (base64 representation of SHA-256 hash) SHA-256-Digest-French: (base64 representation of SHA-256 hash) SHA-256-Digest-German: (base64 representation of SHA-256 hash) Magic: Multilingual
In the first example, these Magic values may indicate that the result of an http query is the script embedded in the document, as opposed to the document itself, and also that the script is generated dynamically. These two pieces of information indicate how to compute the hash value against which to compare the manifest's digest value, thus comparing a valid signature.
In the second example, the Magic value indicates that the document retrieved may have been content-negotiated for a specific language, and that the digest to verify against is dependent on which language the document retrieved is written in.
.SF
signature file. These are binary files not intended to be
interpreted by humans.
Digital signature files have the same filenames as the .SF files but different extensions. The extension varies depending on the type of digital signature.
.RSA
(PKCS7 signature, SHA-256 + RSA).DSA
(PKCS7 signature, DSA)META-INF
directory and have the
prefix "SIG-
". The corresonding signature file
(.SF
file) must also have the same prefix.
For those formats that do not support external signed data, the
file shall consist of a signed copy of the .SF
file.
Thus some data may be duplicated and a verifier should compare the
two files.
Formats that support external data either reference the
.SF
file, or perform calculations on it with implicit
reference.
Each .SF
file may have multiple digital signatures,
but those signatures should be generated by the same legal
entity.
File name extensions may be 1 to 3 alphanum characters. Unrecognized extensions are ignored.
The existing jar tool is enhanced to be able to examine a list of jar files and generate directory information as to which classes and resources reside in which jar file. This directory information is stored in a simple text file named INDEX.LIST in the META-INF directory of the root jar file. When the classloader loads the root jar file, it reads the INDEX.LIST file and uses it to construct a hash table of mappings from file and package names to lists of jar file names. In order to find a class or a resource, the class loader queries the hashtable to find the proper jar file and then downloads it if necessary.
Once the class loader finds a INDEX.LIST file in a particular jar file, it always trusts the information listed in it. If a mapping is found for a particular class, but the class loader fails to find it by following the link, an InvalidJarIndexException is thrown. When this occurs, the application developer should rerun the jar tool on the extension to get the right information into the index file.
To prevent adding too much space overhead to the application and to speed up the construction of the in-memory hash table, the INDEX.LIST file is kept as small as possible. For classes with non-null package names, mappings are recorded at the package level. Normally one package name is mapped to one jar file, but if a particular package spans more than one jar file, then the mapped value of this package will be a list of jar files. For resource files with non-empty directory prefixes, mappings are also recorded at the directory level. Only for classes with null package name, and resource files which reside in the root directory, will the mapping be recorded at the individual file level.
The UTF-8 encoding is used to support non ASCII characters in
file or package names in the index file.
Files in the META-INF/services directory are service provider configuration files. A service is a well-known set of interfaces and (usually abstract) classes. A service provider is a specific implementation of a service. The classes in a provider typically implement the interfaces and subclass the classes defined in the service itself. Service providers may be installed in an implementation of the Java platform in the form of extensions, that is, jar files placed into any of the usual extension directories. Providers may also be made available by adding them to the applet or application class path or by some other platform-specific means.
A service is represented by an abstract class. A provider of a given service contains one or more concrete classes that extend this service class with data and code specific to the provider. This provider class will typically not be the entire provider itself but rather a proxy that contains enough information to decide whether the provider is able to satisfy a particular request together with code that can create the actual provider on demand. The details of provider classes tend to be highly service-specific; no single class or interface could possibly unify them, so no such class has been defined. The only requirement enforced here is that provider classes must have a zero-argument constructor so that they may be instantiated during lookup.
A service provider identifies itself by placing a provider-configuration file in the resource directory META-INF/services. The file's name should consist of the fully-qualified name of the abstract service class. The file should contain a newline-separated list of unique concrete provider-class names. Space and tab characters, as well as blank lines, are ignored. The comment character is '#' (0x23); on each line all characters following the first comment character are ignored. The file must be encoded in UTF-8.
public abstract CharEncoder getEncoder(String
encodingName);
public abstract CharDecoder getDecoder(String
encodingName);
Each method returns an appropriate object or null if it cannot translate the given encoding. Typical CharCodec providers will support more than one encoding.
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sun.io.StandardCodec # Standard codecs for the platform
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CharEncoder getEncoder(String encodingName) { Iterator ps = Service.providers(CharCodec.class); while (ps.hasNext()) { CharCodec cc = (CharCodec)ps.next(); CharEncoder ce = cc.getEncoder(encodingName); if (ce != null) return ce; } return null; }
The provider-lookup mechanism always executes in the security context of the caller. Trusted system code should typically invoke the methods in this class from within a privileged security context.
The manifest for an application can specify one or more relative URLs referring to the JAR files and directories for other libraries that it requires. These relative URLs are treated relative to the code base from which the containing application was loaded.
An application (or, more generally, a JAR file) specifies the
relative URLs of the libraries that it requires with the manifest attribute
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. This attribute lists the URLs to search for
implementations of other libraries if they cannot be found
on the host Java virtual machine.
These
relative URLs may include JAR files and directories for any
libraries or resources needed by the application. Relative URLs
not ending with a slash (/
) are assumed to refer to JAR files. For example:
Class-Path: servlet.jar infobus.jar acme/beans.jar images/
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header may be specified in a JAR
file's manifest.
Currently, the URLs must be relative to the code base of the JAR file for security reasons. Thus, remote optional packages will originate from the same code base as the application.
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a.jar b.jar
Suppose b.jar
contained the following
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a.jar b.jar x.jar
If x.jar
had dependencies of its own, then these
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are processed lazily so that the JAR files are not opened
until needed.
JAR files and packages can be optionally sealed so that an package can enforce consistency within a version.
A package sealed within a JAR specifies that all classes defined
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the same JAR file.
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SWACHH BHARAT ABHIYAN
Swachh Bharat Abhiyan (English: Clean India Mission and abbreviated as SBA or SBM for "Swachh Bharat Mission") is a national campaign by the Government of India, covering 4,041 statutory cities and towns, to clean the streets, roads and infrastructure of the country.[1][2][3] The campaign was officially launched on 2 October 2014 at Rajghat, New Delhi, where Prime Minister Narendra Modihimself cleaned the road. Modi said that the best memorial to Mahatma Gandhi would be to achieve a "Clean India" by 2019, his 150th birth anniversary. It is India's biggest ever cleanliness drive and 3 million government employees and school and college students of India participated in this event.[4][5] The mission was started by Prime Minister Modi, who nominated nine famous personalities for the campaign, and they took up the challenge and nominated nine more people and so on. It has been carried forward since then with people from all walks of life joining it.
This campaign aims to accomplish the vision of a 'Clean India' by 2 October 2019, the 150th birthday of Mahatma Gandhi. Specific objectives are:[8]
Construction of toilets is one aspect of the Swachh Bharat programme. The programme aims to make India "open defecation free" by 2019. A village is declared "open defecation free" if each household in the village has a fly-proof toilet and safe septage disposal system and every member of the household has access to a toilet and 100% usage of the toilet, according to the guideline issued by the Ministry of Drinking Water and Sanitation (MDWS).[citation needed] The village should also have no openly visible faeces, have properly used toilets in its schools and Anganwadi centres with safe confinement of the excreta.
Swachh Bharat Mission envisages an investment of ₹62009 crore (US$9.4 billion), of which ₹14623 crore (US$2.2 billion) will be provided by the Centre. The rest is expected to be raised by states, urban local bodies, and from private players.[11][12] For FY 2015-16, the Government has allocated ₹3625 crore (US$550 million) for Swachh Bharat Mission, an increase of 27% over the previous financial year.
Between April 2014 and January 2015, 31.83 lakh toilets were built. Karnataka led all States in construction of toilets under the programme, while Punjab built the least.[9] As of August 2015, 80 lakh toilets have been constructed under the program.[22] As of May 2015, 14 companies including Tata Consulting Services, Mahindra Group and Rotary International have pledged to construct 3,195 new toilets.[23] As of the same month, 71 Public Sector Undertakings in India supported the construction of 86,781 new toilets.
A Swachh Bharat Run was organized at the Rashtrapati Bhavan on 2 October 2014. According to a statement from the Rashtrapati Bhavan around 1500 people participated and the event was flagged off by President Pranab Mukherjee. Participants in the run included officers and their families.
The government will be launching a nationwide real-time monitoring system for toilets constructed under the Swachh Bharat Abhiyan. For this the government of India is bringing awareness among the people through quite good advertisements . With this system, the government aims to attain a 100% open defecation free India by 2019.
While growing interest in progress of the mission, both private as well as government started releasing progress reports. Swachh Bharat App Tumblr Feed[31]provides updates from Individual groups, corporates & twitter users in general about group cleaning events, status of cleanliness across India or opinions on the objectives of Clean India mission.A recent study by Public Affairs Centre finds that participation of beneficiaries in their toilet construction ensures better usage


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HAMLET (1996) A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 9.5 Alternative Scale: **** out of ****
United Kingdom/United States, 1996 U.S. Release Date: 12/25/96 (NY, LA, Toronto), 1/24/97 (limited) Running Length: 4:02 (plus intermission, which occurs at 2:40) MPAA Classification: PG-13 (Mature themes, brief nudity, sex, violence) Theatrical Aspect Ratio: 2.35:1
Cast: Kenneth Branagh, Derek Jacobi, Julie Christie, Richard Briers, Nicholas Farrell, Kate Winslet, Michael Maloney, Brian Blessed, Rufus Sewell, Billy Crystal, Jack Lemmon, Charlton Heston, Gerard Depardieu, Rosemary Harris, Timothy Spall, Reece Dinsdale, Robin Williams Director: Kenneth Branagh Producer: David Barron Screenplay: Kenneth Branagh based on the play by William Shakespeare Cinematography: Alex Thomson Music: Patrick Doyle U.S. Distributor: Columbia Pictures
"Presenting the play uncut has allowed the characters to reveal even more, and we discover extra details about them which are usually lost on stage. The political situation becomes clearer, and Hamlet is revealed as a knowledgeable man of the theater in his discussion of the boy actors. We can convey a stronger sense of Denmark as a country ill at ease with itself, where there is indeed something rotten and disjointed. The restored lines are not mere padding, but reinforce the idea that the play is about a national as well as domestic tragedy." -- Kenneth Branagh
The play, "Hamlet", by William Shakespeare, was first performed around 1600. Since then, it has proven to be one of the English language's most enduring stories, and there has never been a decade that hasn't seen dozens of new productions. "Hamlet" has come to the screen numerous times, in incarnations varying from early, silent versions to grand, color epics. Legendary actors John Gielgud, Richard Burton, and Laurence Olivier have taken the lead role. Now, as the curtain falls on the 1996 movie season, another HAMLET has opened. And, in a statement that I do not make lightly, this latest version is not only the best filmed adaptation of "Hamlet" I have ever seen, but the best cinematic expression that I have come across of any of Shakespeare's plays.
"Hamlet" has been something of a private obsession for Kenneth Branagh since, at the age of eleven, he first saw it on British TV. Even when HENRY V was an international sensation, he was adamant that his true dream was to bring an unabridged version of "Hamlet" to the screen. Now, half a decade later, after directing HENRY V and MUCH ADO ABOUT NOTHING and co-starring in OTHELLO, that vision has been realized. Branagh's HAMLET, filmed in 70 mm, has arrived in all its glory, and, with every line from the original play intact, it takes approximately four hours to run. It is a well-spent four hours.
Part of the enduring appeal of "Hamlet" lies in its complex characterization and twisty, tragic plot. "Hamlet" deals with, among other things, madness and revenge, sex and love, politics and treachery, and ghosts, both real and figurative. Yet, despite the depth and weight of the issues it essays, there is still a great deal of humor and good, old-fashioned adventure. "Hamlet" can quite literally make you laugh and cry, hiss and cheer. It also contains a slew of famous lines, including, but not limited to the likes of "Frailty, thy name is woman!", "To thine own self be true", "Something is rotten in the state of Denmark", "Brevity is the soul of wit", "The play's the thing", "The lady doeth protest too much", and, of course, "To be, or not to be, that is the question."
The story centers on Hamlet (Branagh), a thirty-year old Prince of Denmark during the twelfth century, who is mourning the death of his beloved father (Brian Blessed) and the untimely (and, according to custom, unseemly) wedding of his mother, Gertrude (Julie Christie), to his uncle, Claudius (Derek Jacobi). Hamlet sees his mother's sudden re- marriage as a betrayal of her union with his father, but worse news is yet to come. An apparition, appearing in the shape of Hamlet's father, haunts Elsinore Castle, and when Hamlet confronts the ghost, it claims to be the true spirit of the late king, doomed to walk the Earth for a set time. It also states that, by using a fast-acting, deadly poison, Claudius committed murder to claim both queen and crown for himself. Hamlet vows revenge, and thus begins either his slow spiral into madness or his carefully orchestrated act to appear insane.
The peripheral issues of "Hamlet" are no less interesting. Fortinbras (Rufus Sewell), the nephew of the King of Norway, is massing armies to attack Denmark. Ophelia (Kate Winslet), Hamlet's lover, has been forbidden to have any further contact with the prince. A group of traveling actors has come to Elsinore. And two old school mates of Hamlet's have been employed by Claudius to betray their old friend.
One of the things that Branagh brings to his adaptation of the play is an amazing visual sense. From start to finish, this is a stunningly beautiful film, filled with vibrant colors, startling camera angles, and costumes and production values that are among the best of the year. Even if the story was weak (which it isn't), HAMLET would be worth seeing for its pure visual splendor. And, although the dress and settings are those of late-eighteenth century England, no part of the film seems anachronistic. Cinematically time-shifting Shakespeare's plays has become popular of late (see Ian McKellan's RICHARD III or the recent ROMEO AND JULIET), but Branagh has surpassed everyone. With an unflagging attention to detail, HAMLET demands to be noticed.
Yet, even amidst the spectacle of the visual elements, the narrative is not upstaged. A key to great cinema is to use time and place to augment the story, and that's what Branagh accomplishes here. We are not so enraptured by the stunning appearance of Elsinore's terraced throne room that we lose sight of Hamlet's pain, Gertrude's uncertainty, Polonius' foolishness, or Claudius' guilt. From the wintry snowscapes surrounding the castle to the desolation of a graveyard, the settings emphasize, but never overwhelm, the action.
For his version of HAMLET, Branagh has assembled a top-notch international cast. Well-known actors like Charlton Heston (as the Player King), John Gielgud (Priam), Judi Dench (Hecuba), Billy Crystal (First Gravedigger), Gerard Depardieu (Reynaldo), Jack Lemmon (Marcellus), and Robin Williams (Osric) fill small roles. Most are adequate, and a few (Heston and Crystal in particular) are excellent. Only Robin Williams, affecting a silly accent and even sillier mannerisms, stands out as an obvious concession to commercial pressure. Williams is out-of-place, but his presence is only the smallest of blemishes on a wonderful production.
The leads are all in peak form. Michael Maloney (Laertes) and Nicholas Farrell (Horatio), both of whom appeared in Branagh's A MIDWINTER'S TALE, give strong performances. Richard Briers, another long-time collaborator of Branagh's, adds layers of guile and intelligence to his interpretation of the fatuous Polonius. Brian Blessed makes us feel the power and malevolence of the ghost. Julie Christie's wonderful Gertrude allows us to understand why Claudius would resort to murder to win her. And Derek Jacobi's cultured, politically savvy, yet privately tortured Claudius is richly portrayed and worthy of Oscar recognition.
Then there's Kenneth Branagh, the film's undisputed star. The actor's emoting, which has been a problem in less-theatrical productions such as MARY SHELLEY'S FRANKENSTEIN (in which he was hopelessly over- the-top), works to perfection here. For Hamlet's calmer, quieter scenes (such as the soliloquies), Branagh brings a contemplative and introspective quality to his performance. But, for the emotionally- rousing sequences, his interpretation is brash and forceful, drawing us into the pure drama of the situation and raising the hairs on our necks. It's a marvelous portrayal that compliments those of the many other cast members.
By using some creative license, usually in the form of flashback visuals without dialogue, Branagh adds more dimension to several of the characters. He shows scenes of domestic tranquillity in Elsinore years ago, with Gertrude, Old Hamlet, and the young prince playing games and laughing at the jests of Yorick, while Claudius lingers ominously in the background. In a moment that elucidates the true nature of their relationship, we're shown Hamlet and Ophelia in bed. And, with the ghost's words serving as a voiceover narrative, we see Claudius murder his brother and predecessor.
Briefly, I want to mention a few of the many scenes that arrested my attention. The first, which may be the most majestic moment in the entire film (and which is used for the theatrical poster), occurs during the departure of Gertrude and Claudius from Elsinore's audience chamber under a hail of flower petals while Hamlet, dressed in black, watches bleakly from behind them. Then there's the sequence where Hamlet encounters his father's ghost.  Hamlet's "Get thee to a nunnery" confrontation with Ophelia is tense and emotionally wrenching. The graveyard scene, which opens the final act, is perfectly realized, especially as Hamlet recognizes the body in the coffin. Finally, the climax is handled with the right mix of drama and adventure, and includes a nice nod to Errol Flynn.
From the moment it was first announced that Branagh would attempt an unabridged "Hamlet", I never for a moment doubted that it would be a worthy effort. After all, his previous forays into Shakespeare have been excellent. Nothing, however, prepared me for the power and impact of this motion picture. Hyperbole comes easily when describing this HAMLET, decidedly the most impressive motion picture of 1996. Nothing else this year has engaged my intellect, senses, and emotions in quite the same way. I have seen dozens of versions of this play (either on screen or on stage), and none has ever held me in such a grip of awe. This may be Branagh's dream, but it is our pleasure.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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Star Wars: JJ Abrams Addresses Rey Being More Adept Than Luke Skywalker
by Sam StoneOne of the more vocal observations from the Star Wars fanbase is that Rey appears to be mastering her control of the Force much faster than her mentor Luke Skywalker did in the original trilogy.
According to filmmaker J.J. Abrams, who introduced Rey to the franchise in 2015's The Force Awakens and is poised to continue her story in The Rise of Skywalker, Rey's instant aptitude in wielding the Force is no accident, with the director hinting it may come into play in the upcoming sequel.
"Yeah, spooky, right?"Abrams with a smile in an interview with Rolling Stone when the subject of Rey's Force prowess came up. "It’s a fair point. It’s not an accident."
Click the button below to start this article in quick view.
In The Force Awakens, Rey was able to perform a Jedi mind trick on a hapless Stormtrooper, pilot vessels she had never flown before with natural ease and Force pull a lightsaber to her before defeating Kylo Ren in an epic duel. All this was accomplished before briefly training under Luke in The Last Jedi, with the venerable Jedi Master detecting immense potential in her before she departed to face the First Order. Luke, meanwhile, had trained under two different Jedi Masters for a longer period of time to reach the potential of his future protege.
Directed and co-written by J.J. Abrams, Star Wars: The Rise of Skywalker stars Daisy Ridley, Adam Driver, John Boyega, Oscar Isaac, Lupita Nyong’o, Domhnall Gleeson, Kelly Marie Tran, Joonas Suotamo, Billie Lourd, Keri Russell, Anthony Daniels, Mark Hamill, Billy Dee Williams and Carrie Fisher, with Naomi Ackie and Richard E. Grant. The film arrives Dec. 20.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Movieshttps://www.cbr.com/category/movies/ListItem3Movie Newshttps://www.cbr.com/category/movies/news-movies/ListItem4Star Wars: JJ Abrams Addresses Rey Being More Adept Than Luke Skywalkerhttps://www.cbr.com/star-wars-jj-abrams-rey-luke-skywalker/


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--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/More.20examples.20about.20logic.20reasoning.html ---
Hello, it would be possible to have some basic tautology by examples? I found extremely hard to reconciliate, my knowledge about rules of inference into actual code. Thanks
Did you look at https://leanprover.github.io/theorem_proving_in_lean/ and https://leanprover.github.io/logic_and_proof/?
Thanks for replying to me so quickly. Yes, I have taken a look and I have currently open, but, I found it extremely hard to reconcile how to do it with what I know anyway. It is far from anything I ever programmed with. A simple, modus pones p and (p->q)->q, seems so complex. (that's a bit my feedback as not used to this kind of proof technologies.)
@mindwarelab I don't understand exactly what kind of examples you are looking for. Also, experience has showed this community that it depends very much on your background how we should help you.
Do you want:
lemma tautology (X : Type) (x : X) : x = x := rfl
I am a Bsc. computer science, so my approach is more C style approach to the problems, but I understand this is more a mathematician tool.
I am trying to write the rule of inference of modus pones as I do on paper, so extract the premises and then arrive at a conclusion.
Just post some code, we'll give feedback
Are these examples http://wwwf.imperial.ac.uk/~buzzard/xena/html/source/M1F_introduction/prop_exercises.html of any use?
Weren't those written by a mathematician, for mathematicians? :grinning:
Right. And Theorem Proving In Lean was written by computer scientists for computer scientists.
So somehow those are the two options available.
Fair enough
Just post some code, we'll give feedback
theorem prop_1 : A ∧ (A → B) → B := sorry
in pseudo code i would write premise1 = A, premise2 = A->B, conclusion = B I am struggluing to chope down some actual LEAN code.
@mindwarelab have you had a course on functional programming (Haskell and such)?
@mindwarelab Use
```lean code goes here ```
mindwarelab have you had a course on functional programming (Haskell and such)?
No, I have never approach any of them, I will have a classe the next year. I honestly know nothing about.
Did you actually try to read anything from the links I posted?
Right. And Theorem Proving In Lean was written by computer scientists for computer scientists.
Thanks, I will take a look rn :)
Because the questions you ask is more than covered there
theorem prop_1 : A ∧ (A → B) → B := begin intro h, cases h with a f, apply f, exact a end
I didn't test that code
It's pretty safe...
Because the questions you ask is more than covered there
I know it's there, but I find extremely hard to extrapolate it from the documentation itself. I am kind of used to other type of documentation and for me it's very challenging. But again I really have to do it, so yeas I will read it over and over.
Imperial college https://wwwf.imperial.ac.uk/~buzzard/xena/html/source/M1F_introduction/prop_exercises.html is pretty good! Thanks!
you are doing the wrong degree ;-)
theorem prop_1 : A ∧ (A → B) → B := begin intro h, cases h with a f, apply f, exact a end
Thanks a lot, I will try it.
I need to go to do the exercises, but thanks for the suggestions!
you are doing the wrong degree ;-)
Ahaha well ... this is for another conversation :D
Here are some other versions that also work.
lemma taut_a (A B : Prop) : A ∧ (A → B) → B := begin rintro ⟨ha,hab⟩, exact hab ha end lemma taut_b (A B : Prop) : A ∧ (A → B) → B | ⟨ha,hab⟩ := hab ha lemma taut_c (A B : Prop) : A ∧ (A → B) → B := λ ⟨ha,hab⟩, hab ha lemma taut_d (A B : Prop) : A ∧ (A → B) → B := λ h, h.2 h.1
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A rich toolkit of using the whole building simulation program 'EnergyPlus'(<https://energyplus.net>), which enables programmatic navigation, modification of 'EnergyPlus' models and makes it less painful to do parametric simulations and analysis.
| Version: | 0.9.4 |
| Depends: | R (≥ 3.2.0) |
| Imports: | R6, RSQLite, assertthat, callr (≥ 2.0.4), cli, crayon, data.table (≥ 1.9.8), fasttime, later, lubridate, processx (≥ 3.2.0), progress (≥ 1.2.0), readr, stringr, units, uuid |
| Suggests: | testthat, covr, pkgdown, knitr, rmarkdown |
| Published: | 2018-12-05 |
| Author: | Hongyuan Jia [aut, cre] |
| Maintainer: | Hongyuan Jia <hongyuanjia at cqu.edu.cn> |
| BugReports: | https://github.com/hongyuanjia/eplusr/issues |
| License: | MIT + file LICENSE |
| URL: | https://hongyuanjia.github.io/eplusr, https://github.com/hongyuanjia/eplusr |
| NeedsCompilation: | no |
| SystemRequirements: | EnergyPlus (>= 8.3, optional) (<https://energyplus.net>) |
| Citation: | eplusr citation info |
| Materials: | README NEWS |
| CRAN checks: | eplusr results |
| Reference manual: | eplusr.pdf |
| Vignettes: |
Introduction to eplusr |
| Package source: | eplusr_0.9.4.tar.gz |
| Windows binaries: | r-devel: eplusr_0.9.4.zip, r-release: eplusr_0.9.4.zip, r-oldrel: eplusr_0.9.4.zip |
| OS X binaries: | r-release: eplusr_0.9.4.tgz, r-oldrel: eplusr_0.9.4.tgz |
| Old sources: | eplusr archive |
Please use the canonical form https://CRAN.R-project.org/package=eplusr to link to this page.


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