Event Location:
SqlSaturdayBL
23a Jovana Dučića
Banja Luka, Republika Srpska, Bosnia and Herzegovina
Abstract:
Transact-SQL language in latest editions of SQL Server has so many business intelligence (BI) improvements that it might become your primary analytic database system. You might even decide to use T-SQL for advanced analyses directly, without including R, Python, SSAS or Azure ML. However, to get the maximum out of these language constructs, you need to learn how to properly use them. This in-depth session shows extremely efficient statistical queries that use the window functions and are optimized through algorithms that use mathematical knowledge and creativity. During the session, the formulas and usage of those statistical procedures are explained as well. This session is useful not only for BI developers; database and other developers can successfully learn how to write efficient queries. Or maybe you want to become a data scientist? Then you need to know statistics and programming. You get the best of both in this session.
Speaker(s): Dejan Sarka,
Abstract:
In a real data mining or machine learning project, you spend more than half of the time on data preparation and data understanding. The R language is extremely powerful in this area. The Python language is a match. Of course, you do work with data by using T-SQL. You will learn in this session how to get data understanding with really quickly prepared basic graphs and descriptive statistics analysis. You can do advanced data preparation with many data manipulation methods available out of the box and in additional packages from R and Python. After this session, you will understand what tasks data preparation involves, and what tools you have in SQL Server suite for these tasks.
Speaker(s): Dejan Sarka,
Abstract:
In the middle of deploying the model, team of data scientists realize that the predictions are "somewhat-off". Troubleshooting on the horizon and what to do. Session will guide you through most common mistakes data scientists and statisticians are making when preparing and engineering the data using T-SQL or any other database system. Further more, we will explore common statistical and data science mistakes when modeling data, extracting know-how from the data, finding the hidden patterns and running different test against the structural models using mainly R, Python, or Spark. What not-to-do will be replaced with what to-do explanations using sample datasets and sample codes. Some statistical knowledge or background is a plus!
Speaker(s): Tomaž Kaštrun,
Abstract:
Data science can be hard to grasp, complex and big, but making data science easy to understand and bringing it closer to all who want to tackle this new emerging field is an important task in world of data. Exploring, extracting and finding hidden gems from data using statistical and mathematical methods, computer science and several different technologies is essentially what data science is doing. In practice this means, data science is an iterative process of harvesting data, managing and cleaning the data, performing analysis and and at the end interpreting, visualizing and using information that will bring insights to end-user, business people and making decisions much easier. We will focus on answering 5 simple questions. 1) is this weird? 2) is A better than B, respectively? 3) how much / many of this is needed? 4) this belong to group A? 5) what is next? Session we will look into technologies that can be tackled using SQL Server 2016 and ML Azure.
Speaker(s): Tomaž Kaštrun,
Abstract:
У овој популистичкој сесији аутор ће уприличити рестроспективу типичних грешака које праве програмери и тзв. софтвер девелопери приликом рада са базом података MS SQL Server. Неке од њих почивају на ограничењима и неконзистентности самог производа; већина је, пак, последица неразумевања функционисања дејтабез енџина, недостатка времена и/или потребе за дубљим разумевањем процеса оптимизације и извршења упита. Неке су, истини за вољу, последице и ограничења самог девелопера. У сесији ће бити речи о узроцима грешака, те начинима за избегавање или ублажавање њихових последица, а пашће и који савет како да се побољша опхођење према овом веома респектабилном РДБМС производу
Speaker(s): Miloš Radivojević,
Abstract:
Docker has taken the world of IT by storm and looks to be ushering in the greatest platform paradigm shift since virtualisation and the public cloud. The transient nature of Docker containers makes them the perfect fit for spinning up and then tearing down SQL Server instances as part of continuous integration pipelines. Jenkins is the most popular build automation engine in the open source community, it has phenomenal plugin support, it is used by the likes of Netflix and eBay and excels in its ability to handle build pipelines as code. In this session you will learn how a simple build pipeline that takes a SQL Server data tools project checked out from source code control, built into a DACPAC which is then deployed to a SQL Server instance can be extended to use containers, multi-branch build pipelines, tSQt testing and much much more.
Speaker(s): Christopher Adkin,
Abstract:
Object detection can be challenging to understand, mostly because there is a gap in the literature between image classification and object detection — the former is explained in deluge of easy to understand blog posts and articles, the latter is the subject of research papers, full of scary looking math. In this session we will take different approach and built state of the art object detection model in easy to understand steps. First, we are going to make sure that everybody understand concepts of convolution networks, the importance of model architecture and loss function. Then we are going to build a model that will classify single object, a model that finds this object on a picture, and a model that combine both and is able to classify and localize the largest object in each image. Finally, we will move to multiple objects detection, discus latest architectures and design appropriate loss function for this task. All this illustrated with examples built using fastai library.
Speaker(s): Marcin Szeliga,
Abstract:
Almost an every enterprise system needs a some kind of database in the background. In the process of development, architects, developers, they need to prepare and build a database. When the application comes into the production, can be a very difficult to move new changes and that slow down our process of release. Also, here can happen a problem with a bad script, a poor thing can gone happened and all goes into a bad situation. This is the right place for CI/CD process, helping to teams how to manage new database changes in a different environment. In this lecture we'll see how to set up CI/CD process for database pipeline, deploy database changes into the Azure SQL Database and move that change into the production. It will be demonstrated how to include RedGate tools in the process. Also, there will be a best practices notes how to deploy a very large database.
Speaker(s): Ratomir Vukadin,
Abstract:
Intrusions into the systems have become so common, that there is no single day without news headline. User’s data, trade secrets, private habits of users are becoming the subject of "public" unauthorized access. Outcomes are blackmailing, loss of reputation and credibility. Database is a service that represents the last line of defense and as such deserves special your attention. This session is about how to implement state of the art cryptographic features that are built in in to SQL Server (current version 2017). Focus is on the inside and outside threats. We will demonstrate the following : transparent database encryption, backup encryption, column level encryption and encryption data in the motion.
Speaker(s): Jasmin Azemović,
Abstract:
Session subject is bulk load and minimal logging. I will show you on various demos how bulk load and minimal logging behieves on heap and cluster tables, in-memory tables, clustered and non-clustered columnstore tables and on all combinations as well.
Speaker(s): Dean Savović,
Abstract:
Our data should be secure. And our environment too. What we can do for maximize security in a hybrid environment, where SQL Server exist in two forms: premise and cloud. How organize our job, how control our data if we use Windows Azure SQL Database - The Cloud Database. Physical security, policy based management, auditing, encryption, federation, access and authorization. All of those subjects will be covered on my session.
Speaker(s): Tobias Koprowski,
Abstract:
With stricter EU privacy laws like GDPR, the need to encrypt data is greater than ever. In this session we'll look at what SQL Server offers in this area: 1) symmetric and asymmetric server encryption which lets the server encrypt table data and control the keys, 2) Always Encrypted (AE) which works similarly to server encryption but the client control the keys meaning server can't decrypt the data 3) Transparent Data Encryption (TDE) which encrypts your data at rest making getting data from stolen drives useless 4) creating secure SSL/TLS communication channels between your apps and the server to prevent clear text network traffic which can be observed
Speaker(s): Mladen Prajdić,
Abstract:
Creating REST APIs with ASP.NET Core is simple and comes down to defining controllers and routes. But, there are a lot of things to take care of before the API becomes ready for production. This talk is about best practices, authorization, routing, logging, data formatting, testing, documentation, versioning and monitoring REST APIs built with ASP.NET Core 2.x.
Speaker(s): Miroslav Popovic,
Abstract:
If you are reading Azure IoT documentation you will stumble a lot on the “SQL-like query language” or “SQL-like language” syntagms. In this presentation we will explore Azure IoT places where queries are used and see how to use them. And in the process to find out more about this “SQL-like” languages and how being a DB developer cam make you a IoT hero. We will concentrate on the scenarios with the greatest impact, where a little SQL can solve you a lot of hassle. So, we will leave no SQL query unturned in Azure IoT Hub, Stream Analytics, Power Bi to name a few.
Speaker(s): Catalin Gheorghiu,
Abstract:
You just can't simply move or restore a database to a SQL server with lower build version. Some would say that this is impossible! Well it's not! In this session we'll discuss why would you need to downgrade a database and then I will demonstrate a few ways how it can be done for different levels of database complexity.
Speaker(s): Dejan Dular,
Abstract:
Maintenance Plans is one of the best helpers for daily DBA work. Some novice DBA never touches this feature, some accidental DBA never touch this feature. Sometimes even senior DBA did not know too much how it works and how powerful tool it could be. Powerful and dangerous. In my session I would to show how Maintenance Plans can help us, how strong and in the same way dangerous could be. few slides, few demos, few topics for discussion in fifty-five minutes.
Speaker(s): Tobias Koprowski,
Abstract:
In this session we will advice how to avoid common developer mistakes and show how bad designed queries reduce the SQL Server optimizer's capabilities for choosing an optimal execution plan.
Speaker(s): Miloš Radivojević,
Abstract:
The prevailing opinion is that the optimizations for SQL Server are usually only done on the server itself. But is there anything we can do on the client to gain more speed? Because there are always at least two sides of the performance coin, in this session aimed at .Net and SQL developers, we'll dive into the workings of the .Net SqlClient and give you insight into things like connection pools, transaction scopes, batch inserting, async data access and more.
Speaker(s): Mladen Prajdić,
Abstract:
Azure SQL Data Warehouse - what is it and how it is different from SQL Database. During the session I’ll demonstrate how to create SQL DWH databases and different methods of importing data from on-premise database and files.
Speaker(s): Tomasz Libera,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/in/ratomir-vukadin-rvs/
I am a passionate person about technology and special for the software industry. I have B.Sc. in Computer Science area. Currently, I'm on study for the Master Engineer degree. I am in software industry almost of half decade and deal with an enterprise business system. I was class mentor at the couple of Microsoft courses. I really like to share my experience with my colleagues. I have been two public sessions at the Microsoft conference, Microsoft community 2017 and the MS Network 2018 in the Neum BiH. Also, there are a couple of local meetings for me, where I was a speaker. I have a plan to graduate with a Master thesis about Machine learning, AI and some really cool stuffs about real time medicine.
LinkedIn: http://at.linkedin.com/pub/milos-radivojevic/1b/7bb/290/de
Contact: https://milossql.wordpress.com/
Miloš Radivojević is a database consultant located in Vienna, Austria. He is Data Platform MVP and specializes in SQL Server for application developers and performance and query tuning. Currently, he works as a principal database consultant in bwin GVC (the largest regulated online gaming company in the world). He is co-founder of the SQL Pass Austria and speaks regularly at local and international database conferences. He is also co-author of the books SQL Server 2016 Developer's Guide, SQL Server 2017 Developer's Guide and Mastering SQL Server 2017.
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://ro.linkedin.com/in/catalingheorghiu?
Contact: http://ronua.ro/author/catalin/
Catalin Gheorghiu is a solution architect from Romania. He has more than 15 years of experience in developing solutions, especially on Microsoft technologies in very demanding environments. Is contributing articles and blogs to several user groups (MrSmersh), lecturing all over Romania and abroad, is also RONUA Timisoara (PASS Chapter) user group leader. Since 2011, every year he was awarded the Microsoft MVP Award.
LinkedIn: http://www.linkedin.com/tomaz.kastrun
Contact: http://www.tomaztsql.wordpress.com
Tomaž Kaštrun is BI developer and data analyst. His main focus are data mining, T-SQL development, programming and query optimization. He has been working with SQL server since version 2000. He is Microsoft Certified Professional, Microsoft MVP for data platform and Microsoft trainer.
LinkedIn: https://www.linkedin.com/in/miroslavpopovic/
Contact: https://miroslavpopovic.com
Miroslav is senior software architect for .NET and JavaScript, employed as Technical Lead at Seavus. He uses .NET from version 1.0. From Windows Forms, through WPF and Silverlight, all the way to ASP.NET Core. Currently, he is focused on ASP.NET Core, client-side JavaScript development and software craftsmanship. During his career, he worked on a lot of small and big projects, including a couple of local startups. He was one of the members of the development team for the Kicks platform and one of the moderators for https://javascriptkicks.com and https://dotnetkicks.com. Besides that, he is an active community member, conference speaker and one of the leaders of "BLbit Banja Luka" user group.
LinkedIn: https://www.linkedin.com/in/mladenprajdic
Contact: http://weblogs.sqlteam.com/mladenp
Mladen Prajdić is a Data Platform MVP from Slovenia. He's been programming for 20 years, developing diﬀerent types of applications in .Net (C#) and SQL Server, ranging from standard line-of-business, image-processing applications to high performace and IoT applications. He's a regular speaker at various conferences and usergroup meetings, really likes to optimize slow SQL statements, analyze performance, and find unconventional solutions to difficult SQL Server problems. In his free time, he also develops a very popular add-in for SSMS, called the SSMS Tools Pack (www.ssmstoolspack.com).
LinkedIn: https://uk.linkedin.com/in/koprowskit
Contact: http://koprowskit.eu/geek/
Founder of Shadowland Consulting. In January 2015 decided to permanently leave Poland and discover new worlds. Actually settled in Hucknall (The Last home of The Byron Family). Community leader focused on SQL Server, SharePoint, security, collaboration and ITIL, DR, BCM, and SLA. Love licensing stuff. Microsoft Certified Trainer, freelancer, and consultant. Subject Matter Expert at Microsoft. Member of Microsoft Terminology Community, Friends of RedGate PLUS, PASS, ISSA, ACM and more. Since 1st July 2010 Data Platform MVP. Creator of SQLDAY Conference and Conference CEO 2009-2011. Co-Leader of PASS East Midlands Group. Speaker at group meetings and conferences. STEM Ambassador. Traveler. Coffee Addicted.
LinkedIn: http://www.linkedin.com/in/dejandular
Dejan is an independent .NET and SQL developer. During his career he developed applications mainly in the area of Customer Management Systems and Supply Chain Management. In the last years he specialized as a back-end developer and data specialist. He is also a Microsoft Dynamics CRM expert. In his free time he is working with IoT and calls himself a DIY freak.
LinkedIn: https://www.linkedin.com/in/wollatondba
Contact: http://www.chrisadkin.io
Chris is a freelance SQL consultant who has been working with SQL Server since 2000, his passion is for squeezing every last drop of performance out of SQL Server and understanding the database engine at a level which conventional tools cannot provide any insights on.
LinkedIn: https://www.linkedin.com/in/jasmin-azemovic
Contact: http://www.youtube/mvpdba
CISO and university professor active in the fields of database systems, information security, data privacy, forensic analysis, and fraud detection. Ph.D. degree in the field of modeling design and developing an environment for the preservation of privacy inside database systems, also the author of many scientific research papers and three books: Writing T-SQL Queries for Beginners Using Microsoft SQL Server 2012, Securing SQL Server 2012 and SQL Server on Linux. Microsoft MVP (Data Platform) for the last 10 years and an information security consultant. Active speaker at many IT professional and community conferences.
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
LinkedIn: https://www.linkedin.com/in/mladenprajdic
Contact: http://weblogs.sqlteam.com/mladenp
Mladen Prajdić is a Data Platform MVP from Slovenia. He's been programming for 20 years, developing diﬀerent types of applications in .Net (C#) and SQL Server, ranging from standard line-of-business, image-processing applications to high performace and IoT applications. He's a regular speaker at various conferences and usergroup meetings, really likes to optimize slow SQL statements, analyze performance, and find unconventional solutions to difficult SQL Server problems. In his free time, he also develops a very popular add-in for SSMS, called the SSMS Tools Pack (www.ssmstoolspack.com).
LinkedIn: https://www.linkedin.com/in/dsavovic/
Contact: http://www.savovic.com.hr
Dean is Senior DBA practicing SQL Server since version 7.0 and main areas of interest are performance tuning and troubleshooting SQL Server database. He speaks at Microsoft Windays Croatia, ATD Croatia, SSWUG, KulenDayz Croatia, SQL Saturday events, etc... Primary focus is on OLTP databases with occasional adventures with Business Intelligence. He finished Faculty of Electrical Engineering and Computing and MBA on Faculty of Economics in Zagreb. His premise was that it is very useful to combine technical knowledge with management process knowledge that help us in our everyday work. He works in SPAN which is specialized in data management field on Microsoft SQL Server.
LinkedIn: http://at.linkedin.com/pub/milos-radivojevic/1b/7bb/290/de
Contact: https://milossql.wordpress.com/
Miloš Radivojević is a database consultant located in Vienna, Austria. He is Data Platform MVP and specializes in SQL Server for application developers and performance and query tuning. Currently, he works as a principal database consultant in bwin GVC (the largest regulated online gaming company in the world). He is co-founder of the SQL Pass Austria and speaks regularly at local and international database conferences. He is also co-author of the books SQL Server 2016 Developer's Guide, SQL Server 2017 Developer's Guide and Mastering SQL Server 2017.
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
LinkedIn: http://www.linkedin.com/tomaz.kastrun
Contact: http://www.tomaztsql.wordpress.com
Tomaž Kaštrun is BI developer and data analyst. His main focus are data mining, T-SQL development, programming and query optimization. He has been working with SQL server since version 2000. He is Microsoft Certified Professional, Microsoft MVP for data platform and Microsoft trainer.
LinkedIn: https://pl.linkedin.com/in/tomaszlibera
MVP Data Platform, MCT, leader of Krakow Data Community Poland user group. Organizer of SQLDay and SQL Saturday conferences. SQL Server Developer and academic trainer. Speaker at group meetings and conferences.
LinkedIn: https://uk.linkedin.com/in/koprowskit
Contact: http://koprowskit.eu/geek/
Founder of Shadowland Consulting. In January 2015 decided to permanently leave Poland and discover new worlds. Actually settled in Hucknall (The Last home of The Byron Family). Community leader focused on SQL Server, SharePoint, security, collaboration and ITIL, DR, BCM, and SLA. Love licensing stuff. Microsoft Certified Trainer, freelancer, and consultant. Subject Matter Expert at Microsoft. Member of Microsoft Terminology Community, Friends of RedGate PLUS, PASS, ISSA, ACM and more. Since 1st July 2010 Data Platform MVP. Creator of SQLDAY Conference and Conference CEO 2009-2011. Co-Leader of PASS East Midlands Group. Speaker at group meetings and conferences. STEM Ambassador. Traveler. Coffee Addicted.
The following is a list of sponsors that helped fund the event.
University of Business Studies


News
- Feb 2023: 3 Papers (1 paper as Highlight) are accpeted to CVPR 2023 - CVPR Oral for 4 years in a row.
- Oct 2022: I Joined Samsung SSI as a AI/ML Software Engineer.
- Aug 2022: "DRAMA: Joint Risk Localization and Captioning in Driving" is accepted to WACV 2023.
- In 2022: Papers were accpeted to CVPR oral, CVPR, ICRA, IROS, ITSC, T-CST, RA-L.
- In 2021: Co-organized the workshop on "Multi-Agent Interaction and Relational Reasoning" in conjunction with ICCV 2021.
- In 2021: Papers were accpeted to CVPR oral, ICCV, ICRA, and RA-L.
- In 2020: Papers were accpeted to CVPR oral, IROS, CoRL, ACC, and NeurIPS.
- In 2019: Papers were accpeted to ICCV, CVPRW, ICRA, and ICLR.
- In 2018: I Joined HRI as a Scientist.
About
I received my Ph.D. in the school of Electrical and Computer Engineering from Purdue University in 2018, where I was advised by Prof. Karthik Ramani. Previously, I received a B.S. from Hanyang University, Korea in 2011, and a M.S. from University of Southern California, in 2013.
- Work: Samsung Semiconductor Inc.
- City: San Jose, CA
- Title: Senior Staff Engineer
- Email: chihochoi AT outlook DOT com
- Website: www.chihochoi.me
- LinkedIn: www.linkedin.com/in/chihochoi
- Google Scholar: scholar.google.com/citations?user=iSFDVj4AAAAJ
My career experiences span the field of machine learning and computer vision, from research on algorithms and network design in various domains (autonomous systems - AD/ADAS, human-robot cooperation, etc.) to their heterogeneous computing with CPU, GPU, FPGA, etc. My current interest is in efficient training / inference of large DL models for various applications.
- Computer Vision
- Machine Learning
- Generative Modeling
- Multi-modal Deep Learning
Facts
Citations
Papers
Patents
Collaborators
Resume
Click here to download my full curriculum vitae.
Work Experience
Senior Staff Engineer
Oct 2022 - Present
Samsung Semiconductor US, San Jose, CA
- Designing new algorithms for efficient model training and inference
Senior Scientist
Jul 2021 - Oct 2022
Honda Research Institute USA, San Jose, CA
- Research lead, led vision-based behavior understanding and prediction research of HRI
- Deployed a behavior prediction system for autonomous planning and vehicle control
Scientist
Feb 2018 - Jun 2021
- Supervised a team of researchers as a team leader
- Worked on understanding, reasoning, and prediction of human states and behaviors in multi-agent interacting environments
Intern
May 2017 - Aug 2017
HERE Technologies, Chicago, IL
- Worked on traffic scene understanding (detection and recognition) for automated driving
- Developed a solution to learn from imbalanced data for generic machine learning systems
Education
Ph.D., Electrical & Computer Engineering
Jan 2018
Purdue University, West Lafayette, IN
Specialization: deep learning, 3D vision, recognition, tracking
M.S., Electrical Engineering
May 2013
University of Southern California, Los Angeles, CA
Specialization: 3D shape analysis (matching and registration)
B.S., Electronics & Computer Engineering
Feb 2011
Hanyang University, Seoul, Korea
Minor: Mechanical Engineering
Publications
2023
2022
2021
2020
2019
2018
2017
2016
2015
2013
* co-first author
Academic Services
Organizing Committee
- Co-organizer, Workshop on Multi-Agent Interaction and Relational Reasoning in conjunction with ICCV 2021
Program Committee / Reviewer
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 - Present
- IEEE International Conference on Computer Vision (ICCV) 2019 - Present
- European Conference on Computer Vision (ECCV) 2020 - Present
- IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 - Present
- Asian Conference on Computer Vision (ACCV) 2018, 2020
- International Conference on Machine Learning (ICML) 2021 - Present
- Conference on Neural Information Processing Systems (NeurIPS) 2020 - Present
- International Conference on Learning Representations (ICLR) 2021 - Present
- Association for Advancement of Artificial Intelligence (AAAI) 2020 - Present
- IEEE International Conference on Intelligent Robots and Systems (IROS) 2021
- IEEE Intelligent Vehicles Symposium (IV) 2020
- ACM CHI Conference on Human Factors in Computing Systems LBW 2019
- The IEEE Robotics and Automation Letters (RA-L) 2020 - Present
- IEEE Transactions on Intelligent Vehicles (T-IV) 2020
- IEEE Transactions on Image Processing (T-IP) 2018
- IEEE Transactions on Multimedia (T-MM) 2017


Module: Innsights::Helpers::Tasks
- Defined in:
- lib/innsights/helpers/tasks.rb
Overview
Helper methods to be used in Rake Taks rake innsights:push
Instance Method Summary (collapse)
-
- (nil) progress_actions(klass)
Iterates within the report of the class to build the JSON file while processing the actions it shows a progressbar.
-
- (True?) push(report)
Builds and uploads a JSON File with all the historic reports to innsights.
-
- (String?) upload_content(content)
Builds a JSON file from a string and uploads it to the API Service: push.
Instance Method Details
- (nil) progress_actions(klass)
Iterates within the report of the class to build the JSON file while processing the actions it shows a progressbar.
=> Posts: 100% |oooooooooooooooooooooooooooooooooooooooooo| Time: 00:00:00
41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
# File 'lib/innsights/helpers/tasks.rb', line 41 def progress_actions(klass) begin = ProgressBar.new(klass.to_s.pluralize, 100) percent = klass.count / 100 count = 0 klass.find_each do |record| yield(record) count += 1 .inc if !percent.zero? && (count % percent).zero? end rescue NoMethodError => e Innsights::ErrorMessage.log(e) ensure .finish end end |
- (True?) push(report)
Builds and uploads a JSON File with all the historic reports to innsights
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# File 'lib/innsights/helpers/tasks.rb', line 14 def push(report) if report.valid_for_push? begin actions = [] puts "==Preparing #{report.klass} records==" progress_actions report.klass do |record| prepared_record = Innsights::Fetchers::Record.new(record, report) prepared_report = Innsights::Report.new(prepared_record.name, prepared_record.) actions << prepared_report.to_hash end upload_content(actions.to_json) if actions.any? true rescue Exception => e Innsights::ErrorMessage.log(e) end end end |
- (String?) upload_content(content)
Builds a JSON file from a string and uploads it to the API Service: push
62 63 64 65 66 67 68 69 70 71 72 |
# File 'lib/innsights/helpers/tasks.rb', line 62 def upload_content(content) if Innsights.client Tempfile.open('innsights') do |file| file.write content file.rewind Innsights.client.push(file) end else Innsights::ErrorMessage.log("No client for Innsights.") end end |


Object chain ancestor links prototype
When livestreaming linear content onto IPFS,
we can do better than a singly linked list which would require
O(n) steps to traverse back to any object.
The algorithm:
-
Store a list of links to ancestors along with their offsets in each
object.
-
When adding a new object:
-
Take the links from its parent and increment their offsets by one.
- Add the parent as a link at offset 0.
-
For each exponentially growing bucket of ancestors:
- Keep the link with the greatest offset.
-
If the previous bucket ended up being empty, also keep the link
closest to it.
- Prune all other links from the bucket.
The algorithm has the following properties:
-
It adds O(log n) links along with their offsets to each HEAD
object. (For example, at 1 GB with 250 kB chunks, new objects have
12-ish links to ancestors.)
-
It only needs to inspect the immediate parent object to generate the
links.
- Traversing back to any object takes O(log n) steps.


-
Uncertain class - Definitions subroutines, manipulators & applicators. More...
#include "../unc/unc.hpp"
#include <functional>
Go to the source code of this file.
Typedefs | |
| typedef std::char_traits< char > ::int_type | int_char |
Functions | |
| void | setUncDefaults (std::ios &stream) |
| void | outUncFlags (unsigned short int uncFlags, ostream &os) |
| void | outUncTypes (unsigned short int uncTypes, ostream &os) |
| ostream & | operator<< (ostream &os, const showUncTypes &ut) |
| ostream & | operator<< (ostream &os, const showUncFlags &sf) |
| ostream & | showuncflags (ostream &os) |
| ios & | flexform (ios &iostr) |
| ios & | firmform (ios &iostr) |
| ios & | scale (ios &iostr) |
| ios & | noscale (ios &iostr) |
| ios & | autoscale (ios &iostr) |
| ios & | noautoscale (ios &iostr) |
| ios & | plusminus (ios &iostr) |
| ios & | noplusminus (ios &iostr) |
| ios & | addSIsymbol (ios &iostr) |
| ios & | noSIsymbol (ios &iostr) |
| ios & | addSIprefix (ios &iostr) |
| ios & | noSIprefix (ios &iostr) |
| ios & | addNoisyDigit (ios &iostr) |
| ios & | noNoisyDigit (ios &iostr) |
| ios & | setsigfigs (ios &iostr) |
| ios & | autosigfigs (ios &iostr) |
| ios & | setuncsigfigs (ios &iostr) |
| ios & | autouncsigfigs (ios &iostr) |
| ios & | adddegfree (ios &iostr) |
| ios & | nodegfree (ios &iostr) |
| ios & | addreplicates (ios &iostr) |
| ios & | noreplicates (ios &iostr) |
| ios & | addlimits (ios &iostr) |
| ios & | nolimits (ios &iostr) |
| long | uFlags (ios &str) |
| long | uFlags (ios &str, long flags) |
| long | setuFlags (ios &str, long flags) |
| long | resetuFlags (ios &str, long flags) |
| ostream & | operator<< (ostream &os, const setAllUncFlags &sf) |
| istream & | operator>> (istream &is, const setAllUncFlags &sf) |
| ostream & | operator<< (ostream &os, const setUncFlags &sf) |
| istream & | operator>> (istream &is, const setUncFlags &sf) |
| ostream & | operator<< (ostream &os, const setMaskedUncFlags &sf) |
| istream & | operator>> (istream &is, const setMaskedUncFlags &sf) |
| ostream & | operator<< (ostream &os, const resetUncFlags &sf) |
| istream & | operator>> (istream &is, const resetUncFlags &sf) |
| ostream & | operator<< (ostream &os, const resetMaskedUncFlags &sf) |
| istream & | operator>> (istream &is, const resetMaskedUncFlags &sf) |
| ostream & | operator<< (ostream &os, const setUncWidth &sw) |
| istream & | operator>> (istream &is, const setUncWidth &sw) |
| ostream & | operator<< (ostream &os, const setUncScale &sc) |
| istream & | operator>> (istream &is, const setUncScale &sc) |
| ostream & | operator<< (ostream &os, const setSigFigs &sf) |
| istream & | operator>> (istream &is, const setSigFigs &sf) |
| ostream & | operator<< (ostream &os, const setUncSigFigs &usf) |
| istream & | operator>> (istream &is, const setUncSigFigs &usf) |
| void | uncertainRead (double &value, double &stdDeviation, unsigned short int °reesOfFreedom, unsigned short int &types, istream &is=cin) |
| void | uncertainPrint (double value, float stdDeviation, unsigned short int degFree, unsigned short int uncTypes, ostream &os=cout) |
Variables | |
| const char * | SIprefixes [SImaxPowerTen+1+SImaxPowerTen] |
| const char * | SIsymbols [SImaxPowerTen+1+SImaxPowerTen] |
| const double | powersOfTen [maxPowerTen+1+maxPowerTen] |
| const double | rounds [17] |
| const long | indexID = 0x48dbaf8 |
| const char * | uncTypeWords [16] |
| const char * | uncFlagWords [16] |
Uncertain class - Definitions subroutines, manipulators & applicators.
Class for simple Propagation of Uncertainties according to a pure Gaussian model. Uncertain subroutines, manipulators & applicators.
Definition in file uncmanapp.cpp.
| typedef std::char_traits<char>::int_type int_char |
Definition at line 28 of file uncmanapp.cpp.
| ios& adddegfree | ( | ios & | iostr | ) |
Definition at line 316 of file uncmanapp.cpp.
| ios& addlimits | ( | ios & | iostr | ) |
Definition at line 341 of file uncmanapp.cpp.
| ios& addNoisyDigit | ( | ios & | iostr | ) |
Definition at line 280 of file uncmanapp.cpp.
| ios& addreplicates | ( | ios & | iostr | ) |
Definition at line 328 of file uncmanapp.cpp.
| ios& addSIprefix | ( | ios & | iostr | ) |
Definition at line 268 of file uncmanapp.cpp.
| ios& addSIsymbol | ( | ios & | iostr | ) |
Definition at line 256 of file uncmanapp.cpp.
| ios& autoscale | ( | ios & | iostr | ) |
Definition at line 232 of file uncmanapp.cpp.
| ios& autosigfigs | ( | ios & | iostr | ) |
Definition at line 298 of file uncmanapp.cpp.
| ios& autouncsigfigs | ( | ios & | iostr | ) |
Definition at line 310 of file uncmanapp.cpp.
| ios& firmform | ( | ios & | iostr | ) |
Definition at line 214 of file uncmanapp.cpp.
| ios& flexform | ( | ios & | iostr | ) |
Definition at line 208 of file uncmanapp.cpp.
| ios& noautoscale | ( | ios & | iostr | ) |
Definition at line 238 of file uncmanapp.cpp.
| ios& nodegfree | ( | ios & | iostr | ) |
Definition at line 322 of file uncmanapp.cpp.
| ios& nolimits | ( | ios & | iostr | ) |
Definition at line 347 of file uncmanapp.cpp.
| ios& noNoisyDigit | ( | ios & | iostr | ) |
Definition at line 286 of file uncmanapp.cpp.
| ios& noplusminus | ( | ios & | iostr | ) |
Definition at line 250 of file uncmanapp.cpp.
| ios& noreplicates | ( | ios & | iostr | ) |
Definition at line 334 of file uncmanapp.cpp.
| ios& noscale | ( | ios & | iostr | ) |
Definition at line 226 of file uncmanapp.cpp.
| ios& noSIprefix | ( | ios & | iostr | ) |
Definition at line 274 of file uncmanapp.cpp.
| ios& noSIsymbol | ( | ios & | iostr | ) |
Definition at line 262 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const showUncTypes & | ut | ||
| ) |
Definition at line 171 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const showUncFlags & | sf | ||
| ) |
Definition at line 188 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setAllUncFlags & | sf | ||
| ) |
Definition at line 400 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setUncFlags & | sf | ||
| ) |
Definition at line 418 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setMaskedUncFlags & | sf | ||
| ) |
Definition at line 437 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const resetUncFlags & | sf | ||
| ) |
Definition at line 457 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const resetMaskedUncFlags & | sf | ||
| ) |
Definition at line 476 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setUncWidth & | sw | ||
| ) |
Definition at line 496 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setUncScale & | sc | ||
| ) |
Definition at line 515 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setSigFigs & | sf | ||
| ) |
Definition at line 534 of file uncmanapp.cpp.
| ostream& operator<< | ( | ostream & | os, |
| const setUncSigFigs & | usf | ||
| ) |
Definition at line 552 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setAllUncFlags & | sf | ||
| ) |
Definition at line 407 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setUncFlags & | sf | ||
| ) |
Definition at line 425 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setMaskedUncFlags & | sf | ||
| ) |
Definition at line 445 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const resetUncFlags & | sf | ||
| ) |
Definition at line 464 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const resetMaskedUncFlags & | sf | ||
| ) |
Definition at line 484 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setUncWidth & | sw | ||
| ) |
Definition at line 503 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setUncScale & | sc | ||
| ) |
Definition at line 522 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setSigFigs & | sf | ||
| ) |
Definition at line 541 of file uncmanapp.cpp.
| istream& operator>> | ( | istream & | is, |
| const setUncSigFigs & | usf | ||
| ) |
Definition at line 559 of file uncmanapp.cpp.
| void outUncFlags | ( | unsigned short int | uncFlags, |
| ostream & | os | ||
| ) |
Definition at line 118 of file uncmanapp.cpp.
| void outUncTypes | ( | unsigned short int | uncTypes, |
| ostream & | os | ||
| ) |
Definition at line 143 of file uncmanapp.cpp.
| ios& plusminus | ( | ios & | iostr | ) |
Definition at line 244 of file uncmanapp.cpp.
| long resetuFlags | ( | ios & | str, |
| long | flags | ||
| ) |
Definition at line 381 of file uncmanapp.cpp.
| ios& scale | ( | ios & | iostr | ) |
Definition at line 220 of file uncmanapp.cpp.
| ios& setsigfigs | ( | ios & | iostr | ) |
Definition at line 292 of file uncmanapp.cpp.
| long setuFlags | ( | ios & | str, |
| long | flags | ||
| ) |
Definition at line 372 of file uncmanapp.cpp.
| void setUncDefaults | ( | std::ios & | stream | ) |
Definition at line 45 of file uncmanapp.cpp.
| ios& setuncsigfigs | ( | ios & | iostr | ) |
Definition at line 304 of file uncmanapp.cpp.
| ostream& showuncflags | ( | ostream & | os | ) |
Definition at line 195 of file uncmanapp.cpp.
| long uFlags | ( | ios & | str | ) |
Definition at line 356 of file uncmanapp.cpp.
| long uFlags | ( | ios & | str, |
| long | flags | ||
| ) |
Definition at line 363 of file uncmanapp.cpp.
| void uncertainPrint | ( | double | value, |
| float | stdDeviation, | ||
| unsigned short int | degFree, | ||
| unsigned short int | uncTypes, | ||
| ostream & | os = cout |
||
| ) |
Definition at line 962 of file uncmanapp.cpp.
| void uncertainRead | ( | double & | value, |
| double & | stdDeviation, | ||
| unsigned short int & | degreesOfFreedom, | ||
| unsigned short int & | types, | ||
| istream & | is = cin |
||
| ) |
Definition at line 633 of file uncmanapp.cpp.
| const long indexID = 0x48dbaf8 |
Definition at line 42 of file uncmanapp.cpp.
| const double powersOfTen[maxPowerTen+1+maxPowerTen] |
Definition at line 56 of file SIunits.cpp.
| const double rounds[17] |
{5.0, 5e-1, 5e-2, 5e-3, 5e-4, 5e-5, 5e-6, 5e-7, 5e-8, 5e-9, 5e-10, 5e-11, 5e-12, 5e-13, 5e-14, 5e-15, 5e-16}
Definition at line 34 of file uncmanapp.cpp.
| const char* SIprefixes[SImaxPowerTen+1+SImaxPowerTen] |
Definition at line 7 of file SIunits.cpp.
| const char* SIsymbols[SImaxPowerTen+1+SImaxPowerTen] |
Definition at line 34 of file SIunits.cpp.
| const char* uncFlagWords[16] |
{ "firm", "setScaled", "autoScaled", "add +/-", "add SI symbol", "add SI prefix", "add noisy", "set sigfig", "set uncsigfig", "add deg free", "add replicates", "add limits", "?", "?", "?", "?" }
Definition at line 98 of file uncmanapp.cpp.
| const char* uncTypeWords[16] |
{ "zero", "int", "rational", "-only", "+only", "unc_known", "noPlus", "noMinus", "quantize10", "quantize2", "explicit", "rect", "triang", "df_exact", "df_known", "undefined" }
Definition at line 78 of file uncmanapp.cpp.


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| PREV NEXT | FRAMES NO FRAMES |
| org.xbill.* |
|---|
| org.xbill.DNS.Address | ||
|---|---|---|
public static final int |
IPv4 |
1 |
public static final int |
IPv6 |
2 |
| org.xbill.DNS.CERTRecord | ||
|---|---|---|
public static final int |
OID |
254 |
public static final int |
PGP |
3 |
public static final int |
PKIX |
1 |
public static final int |
SPKI |
2 |
public static final int |
URI |
253 |
| org.xbill.DNS.CERTRecord.CertificateType | ||
|---|---|---|
public static final int |
ACPKIX |
7 |
public static final int |
IACPKIX |
8 |
public static final int |
IPGP |
6 |
public static final int |
IPKIX |
4 |
public static final int |
ISPKI |
5 |
public static final int |
OID |
254 |
public static final int |
PGP |
3 |
public static final int |
PKIX |
1 |
public static final int |
SPKI |
2 |
public static final int |
URI |
253 |
| org.xbill.DNS.Credibility | ||
|---|---|---|
public static final int |
ADDITIONAL |
1 |
public static final int |
ANY |
1 |
public static final int |
AUTH_ANSWER |
4 |
public static final int |
AUTH_AUTHORITY |
4 |
public static final int |
GLUE |
2 |
public static final int |
HINT |
0 |
public static final int |
NONAUTH_ANSWER |
3 |
public static final int |
NONAUTH_AUTHORITY |
3 |
public static final int |
NORMAL |
3 |
public static final int |
ZONE |
5 |
| org.xbill.DNS.DClass | ||
|---|---|---|
public static final int |
ANY |
255 |
public static final int |
CH |
3 |
public static final int |
CHAOS |
3 |
public static final int |
HESIOD |
4 |
public static final int |
HS |
4 |
public static final int |
IN |
1 |
public static final int |
NONE |
254 |
| org.xbill.DNS.DLVRecord | ||
|---|---|---|
public static final int |
SHA1_DIGEST_ID |
1 |
public static final int |
SHA256_DIGEST_ID |
1 |
| org.xbill.DNS.DNSKEYRecord.Flags | ||
|---|---|---|
public static final int |
REVOKE |
128 |
public static final int |
SEP_KEY |
1 |
public static final int |
ZONE_KEY |
256 |
| org.xbill.DNS.DNSKEYRecord.Protocol | ||
|---|---|---|
public static final int |
DNSSEC |
3 |
| org.xbill.DNS.DNSSEC.Algorithm | ||
|---|---|---|
public static final int |
DH |
2 |
public static final int |
DSA |
3 |
public static final int |
DSA_NSEC3_SHA1 |
6 |
public static final int |
ECC |
4 |
public static final int |
INDIRECT |
252 |
public static final int |
PRIVATEDNS |
253 |
public static final int |
PRIVATEOID |
254 |
public static final int |
RSA_NSEC3_SHA1 |
7 |
public static final int |
RSAMD5 |
1 |
public static final int |
RSASHA1 |
5 |
public static final int |
RSASHA256 |
8 |
public static final int |
RSASHA512 |
10 |
| org.xbill.DNS.DSRecord | ||
|---|---|---|
public static final int |
SHA1_DIGEST_ID |
1 |
public static final int |
SHA256_DIGEST_ID |
2 |
| org.xbill.DNS.DSRecord.Digest | ||
|---|---|---|
public static final int |
SHA1 |
1 |
public static final int |
SHA256 |
2 |
| org.xbill.DNS.EDNSOption.Code | ||
|---|---|---|
public static final int |
CLIENT_SUBNET |
20730 |
public static final int |
NSID |
3 |
| org.xbill.DNS.ExtendedFlags | ||
|---|---|---|
public static final int |
DO |
32768 |
| org.xbill.DNS.Flags | ||
|---|---|---|
public static final byte |
AA |
5 |
public static final byte |
AD |
10 |
public static final byte |
CD |
11 |
public static final int |
DO |
32768 |
public static final byte |
QR |
0 |
public static final byte |
RA |
8 |
public static final byte |
RD |
7 |
public static final byte |
TC |
6 |
| org.xbill.DNS.Header | ||
|---|---|---|
public static final int |
LENGTH |
12 |
| org.xbill.DNS.IPSECKEYRecord.Algorithm | ||
|---|---|---|
public static final int |
DSA |
1 |
public static final int |
RSA |
2 |
| org.xbill.DNS.IPSECKEYRecord.Gateway | ||
|---|---|---|
public static final int |
IPv4 |
1 |
public static final int |
IPv6 |
2 |
public static final int |
Name |
3 |
public static final int |
None |
0 |
| org.xbill.DNS.KEYRecord | ||
|---|---|---|
public static final int |
FLAG_NOAUTH |
32768 |
public static final int |
FLAG_NOCONF |
16384 |
public static final int |
FLAG_NOKEY |
49152 |
public static final int |
OWNER_HOST |
512 |
public static final int |
OWNER_USER |
0 |
public static final int |
OWNER_ZONE |
256 |
public static final int |
PROTOCOL_ANY |
255 |
public static final int |
PROTOCOL_DNSSEC |
3 |
public static final int |
PROTOCOL_EMAIL |
2 |
public static final int |
PROTOCOL_IPSEC |
4 |
public static final int |
PROTOCOL_TLS |
1 |
| org.xbill.DNS.KEYRecord.Flags | ||
|---|---|---|
public static final int |
EXTEND |
4096 |
public static final int |
FLAG10 |
32 |
public static final int |
FLAG11 |
16 |
public static final int |
FLAG2 |
8192 |
public static final int |
FLAG4 |
2048 |
public static final int |
FLAG5 |
1024 |
public static final int |
FLAG8 |
128 |
public static final int |
FLAG9 |
64 |
public static final int |
HOST |
512 |
public static final int |
NOAUTH |
32768 |
public static final int |
NOCONF |
16384 |
public static final int |
NOKEY |
49152 |
public static final int |
NTYP3 |
768 |
public static final int |
OWNER_MASK |
768 |
public static final int |
SIG0 |
0 |
public static final int |
SIG1 |
1 |
public static final int |
SIG10 |
10 |
public static final int |
SIG11 |
11 |
public static final int |
SIG12 |
12 |
public static final int |
SIG13 |
13 |
public static final int |
SIG14 |
14 |
public static final int |
SIG15 |
15 |
public static final int |
SIG2 |
2 |
public static final int |
SIG3 |
3 |
public static final int |
SIG4 |
4 |
public static final int |
SIG5 |
5 |
public static final int |
SIG6 |
6 |
public static final int |
SIG7 |
7 |
public static final int |
SIG8 |
8 |
public static final int |
SIG9 |
9 |
public static final int |
USE_MASK |
49152 |
public static final int |
USER |
0 |
public static final int |
ZONE |
256 |
| org.xbill.DNS.KEYRecord.Protocol | ||
|---|---|---|
public static final int |
ANY |
255 |
public static final int |
DNSSEC |
3 |
public static final int |
EMAIL |
2 |
public static final int |
IPSEC |
4 |
public static final int |
NONE |
0 |
public static final int |
TLS |
1 |
| org.xbill.DNS.Lookup | ||
|---|---|---|
public static final int |
HOST_NOT_FOUND |
3 |
public static final int |
SUCCESSFUL |
0 |
public static final int |
TRY_AGAIN |
2 |
public static final int |
TYPE_NOT_FOUND |
4 |
public static final int |
UNRECOVERABLE |
1 |
| org.xbill.DNS.Message | ||
|---|---|---|
public static final int |
MAXLENGTH |
65535 |
| org.xbill.DNS.NSEC3Record | ||
|---|---|---|
public static final int |
SHA1_DIGEST_ID |
1 |
| org.xbill.DNS.NSEC3Record.Digest | ||
|---|---|---|
public static final int |
SHA1 |
1 |
| org.xbill.DNS.NSEC3Record.Flags | ||
|---|---|---|
public static final int |
OPT_OUT |
1 |
| org.xbill.DNS.Opcode | ||
|---|---|---|
public static final int |
IQUERY |
1 |
public static final int |
NOTIFY |
4 |
public static final int |
QUERY |
0 |
public static final int |
STATUS |
2 |
public static final int |
UPDATE |
5 |
| org.xbill.DNS.Rcode | ||
|---|---|---|
public static final int |
BADKEY |
17 |
public static final int |
BADMODE |
19 |
public static final int |
BADSIG |
16 |
public static final int |
BADTIME |
18 |
public static final int |
BADVERS |
16 |
public static final int |
FORMERR |
1 |
public static final int |
NOERROR |
0 |
public static final int |
NOTAUTH |
9 |
public static final int |
NOTIMP |
4 |
public static final int |
NOTIMPL |
4 |
public static final int |
NOTZONE |
10 |
public static final int |
NXDOMAIN |
3 |
public static final int |
NXRRSET |
8 |
public static final int |
REFUSED |
5 |
public static final int |
SERVFAIL |
2 |
public static final int |
YXDOMAIN |
6 |
public static final int |
YXRRSET |
7 |
| org.xbill.DNS.Section | ||
|---|---|---|
public static final int |
ADDITIONAL |
3 |
public static final int |
ANSWER |
1 |
public static final int |
AUTHORITY |
2 |
public static final int |
PREREQ |
1 |
public static final int |
QUESTION |
0 |
public static final int |
UPDATE |
2 |
public static final int |
ZONE |
0 |
| org.xbill.DNS.SimpleResolver | ||
|---|---|---|
public static final int |
DEFAULT_EDNS_PAYLOADSIZE |
1280 |
public static final int |
DEFAULT_PORT |
53 |
| org.xbill.DNS.SSHFPRecord.Algorithm | ||
|---|---|---|
public static final int |
DSS |
2 |
public static final int |
RSA |
1 |
| org.xbill.DNS.SSHFPRecord.Digest | ||
|---|---|---|
public static final int |
SHA1 |
1 |
| org.xbill.DNS.TKEYRecord | ||
|---|---|---|
public static final int |
DELETE |
5 |
public static final int |
DIFFIEHELLMAN |
2 |
public static final int |
GSSAPI |
3 |
public static final int |
RESOLVERASSIGNED |
4 |
public static final int |
SERVERASSIGNED |
1 |
| org.xbill.DNS.Tokenizer | ||
|---|---|---|
public static final int |
COMMENT |
5 |
public static final int |
EOF |
0 |
public static final int |
EOL |
1 |
public static final int |
IDENTIFIER |
3 |
public static final int |
QUOTED_STRING |
4 |
public static final int |
WHITESPACE |
2 |
| org.xbill.DNS.TSIG | ||
|---|---|---|
public static final short |
FUDGE |
300 |
| org.xbill.DNS.TTL | ||
|---|---|---|
public static final long |
MAX_VALUE |
2147483647L |
| org.xbill.DNS.Type | ||
|---|---|---|
public static final int |
A |
1 |
public static final int |
A6 |
38 |
public static final int |
AAAA |
28 |
public static final int |
AFSDB |
18 |
public static final int |
ANY |
255 |
public static final int |
APL |
42 |
public static final int |
ATMA |
34 |
public static final int |
AXFR |
252 |
public static final int |
CERT |
37 |
public static final int |
CNAME |
5 |
public static final int |
DHCID |
49 |
public static final int |
DLV |
32769 |
public static final int |
DNAME |
39 |
public static final int |
DNSKEY |
48 |
public static final int |
DS |
43 |
public static final int |
EID |
31 |
public static final int |
GPOS |
27 |
public static final int |
HINFO |
13 |
public static final int |
IPSECKEY |
45 |
public static final int |
ISDN |
20 |
public static final int |
IXFR |
251 |
public static final int |
KEY |
25 |
public static final int |
KX |
36 |
public static final int |
LOC |
29 |
public static final int |
MAILA |
254 |
public static final int |
MAILB |
253 |
public static final int |
MB |
7 |
public static final int |
MD |
3 |
public static final int |
MF |
4 |
public static final int |
MG |
8 |
public static final int |
MINFO |
14 |
public static final int |
MR |
9 |
public static final int |
MX |
15 |
public static final int |
NAPTR |
35 |
public static final int |
NIMLOC |
32 |
public static final int |
NS |
2 |
public static final int |
NSAP |
22 |
public static final int |
NSAP_PTR |
23 |
public static final int |
NSEC |
47 |
public static final int |
NSEC3 |
50 |
public static final int |
NSEC3PARAM |
51 |
public static final int |
NULL |
10 |
public static final int |
NXT |
30 |
public static final int |
OPT |
41 |
public static final int |
PTR |
12 |
public static final int |
PX |
26 |
public static final int |
RP |
17 |
public static final int |
RRSIG |
46 |
public static final int |
RT |
21 |
public static final int |
SIG |
24 |
public static final int |
SOA |
6 |
public static final int |
SPF |
99 |
public static final int |
SRV |
33 |
public static final int |
SSHFP |
44 |
public static final int |
TKEY |
249 |
public static final int |
TSIG |
250 |
public static final int |
TXT |
16 |
public static final int |
WKS |
11 |
public static final int |
X25 |
19 |
| org.xbill.DNS.WKSRecord.Protocol | ||
|---|---|---|
public static final int |
ARGUS |
13 |
public static final int |
BBN_RCC_MON |
10 |
public static final int |
BR_SAT_MON |
76 |
public static final int |
CFTP |
62 |
public static final int |
CHAOS |
16 |
public static final int |
DCN_MEAS |
19 |
public static final int |
EGP |
8 |
public static final int |
EMCON |
14 |
public static final int |
GGP |
3 |
public static final int |
HMP |
20 |
public static final int |
ICMP |
1 |
public static final int |
IGMP |
2 |
public static final int |
IGP |
9 |
public static final int |
IPCV |
71 |
public static final int |
IPPC |
67 |
public static final int |
IRTP |
28 |
public static final int |
ISO_TP4 |
29 |
public static final int |
LEAF_1 |
25 |
public static final int |
LEAF_2 |
26 |
public static final int |
MERIT_INP |
32 |
public static final int |
MFE_NSP |
31 |
public static final int |
MIT_SUBNET |
65 |
public static final int |
MUX |
18 |
public static final int |
NETBLT |
30 |
public static final int |
NVP_II |
11 |
public static final int |
PRM |
21 |
public static final int |
PUP |
12 |
public static final int |
RDP |
27 |
public static final int |
RVD |
66 |
public static final int |
SAT_EXPAK |
64 |
public static final int |
SAT_MON |
69 |
public static final int |
SEP |
33 |
public static final int |
ST |
5 |
public static final int |
TCP |
6 |
public static final int |
TRUNK_1 |
23 |
public static final int |
TRUNK_2 |
24 |
public static final int |
UCL |
7 |
public static final int |
UDP |
17 |
public static final int |
WB_EXPAK |
79 |
public static final int |
WB_MON |
78 |
public static final int |
XNET |
15 |
public static final int |
XNS_IDP |
22 |
| org.xbill.DNS.WKSRecord.Service | ||
|---|---|---|
public static final int |
AUTH |
113 |
public static final int |
BL_IDM |
142 |
public static final int |
BOOTPC |
68 |
public static final int |
BOOTPS |
67 |
public static final int |
CHARGEN |
19 |
public static final int |
CISCO_FNA |
130 |
public static final int |
CISCO_SYS |
132 |
public static final int |
CISCO_TNA |
131 |
public static final int |
CSNET_NS |
105 |
public static final int |
DAYTIME |
13 |
public static final int |
DCP |
93 |
public static final int |
DISCARD |
9 |
public static final int |
DOMAIN |
53 |
public static final int |
DSP |
33 |
public static final int |
ECHO |
7 |
public static final int |
EMFIS_CNTL |
141 |
public static final int |
EMFIS_DATA |
140 |
public static final int |
ERPC |
121 |
public static final int |
FINGER |
79 |
public static final int |
FTP |
21 |
public static final int |
FTP_DATA |
20 |
public static final int |
GRAPHICS |
41 |
public static final int |
HOSTNAME |
101 |
public static final int |
HOSTS2_NS |
81 |
public static final int |
INGRES_NET |
134 |
public static final int |
ISI_GL |
55 |
public static final int |
ISO_TSAP |
102 |
public static final int |
LA_MAINT |
51 |
public static final int |
LINK |
245 |
public static final int |
LOC_SRV |
135 |
public static final int |
LOCUS_CON |
127 |
public static final int |
LOCUS_MAP |
125 |
public static final int |
LOGIN |
49 |
public static final int |
METAGRAM |
99 |
public static final int |
MIT_DOV |
91 |
public static final int |
MPM |
45 |
public static final int |
MPM_FLAGS |
44 |
public static final int |
MPM_SND |
46 |
public static final int |
MSG_AUTH |
31 |
public static final int |
MSG_ICP |
29 |
public static final int |
NAMESERVER |
42 |
public static final int |
NETBIOS_DGM |
138 |
public static final int |
NETBIOS_NS |
137 |
public static final int |
NETBIOS_SSN |
139 |
public static final int |
NETRJS_1 |
71 |
public static final int |
NETRJS_2 |
72 |
public static final int |
NETRJS_3 |
73 |
public static final int |
NETRJS_4 |
74 |
public static final int |
NI_FTP |
47 |
public static final int |
NI_MAIL |
61 |
public static final int |
NICNAME |
43 |
public static final int |
NNTP |
119 |
public static final int |
NSW_FE |
27 |
public static final int |
NTP |
123 |
public static final int |
POP_2 |
109 |
public static final int |
PROFILE |
136 |
public static final int |
PWDGEN |
129 |
public static final int |
QUOTE |
17 |
public static final int |
RJE |
5 |
public static final int |
RLP |
39 |
public static final int |
RTELNET |
107 |
public static final int |
SFTP |
115 |
public static final int |
SMTP |
25 |
public static final int |
STATSRV |
133 |
public static final int |
SU_MIT_TG |
89 |
public static final int |
SUNRPC |
111 |
public static final int |
SUPDUP |
95 |
public static final int |
SUR_MEAS |
243 |
public static final int |
SWIFT_RVF |
97 |
public static final int |
TACACS_DS |
65 |
public static final int |
TACNEWS |
98 |
public static final int |
TELNET |
23 |
public static final int |
TFTP |
69 |
public static final int |
TIME |
37 |
public static final int |
USERS |
11 |
public static final int |
UUCP_PATH |
117 |
public static final int |
VIA_FTP |
63 |
public static final int |
X400 |
103 |
public static final int |
X400_SND |
104 |
| org.xbill.DNS.Zone | ||
|---|---|---|
public static final int |
PRIMARY |
1 |
public static final int |
SECONDARY |
2 |
| org.xbill.DNS.utils.base32.Alphabet | ||
|---|---|---|
public static final String |
BASE32 |
"ABCDEFGHIJKLMNOPQRSTUVWXYZ234567=" |
public static final String |
BASE32HEX |
"0123456789ABCDEFGHIJKLMNOPQRSTUV=" |
|
|||||||||
| PREV NEXT | FRAMES NO FRAMES |


{% trans "姓名：" %}{{ member.name }} {% trans "性别：" %}{{ member.get_sex_display }}
{% trans "身份：" %}{{ member.get_identity_display }} {% trans "城市：" %}{{ member.city }}
{% trans "行业：" %}{{ member.trade }}
{% trans "学校：" %}{{ educate.school }} {% trans "入学年月：" %}{{ educate.enrol_date|date:"Y.m" }}
{% trans "学位：" %}{{ educate.degree }} {% trans "毕业年月：" %}{{ educate.graduate_date|date:"Y.m" }}
{% trans "系别：" %}{{ educate.department }}
{% if educate.second_graduate_date and educate.second_enrol_date and educate.second_degree and educate.second_school and educate.second_department %}{% trans "学校：" %}{{ educate.second_school }} {% trans "入学年月：" %}{{ educate.second_enrol_date|date:"Y.m" }}
{% trans "学位：" %}{{ educate.second_degree }} {% trans "毕业年月：" %}{{ educate.second_graduate_date|date:"Y.m" }}
{% trans "系别：" %}{{ educate.second_department }}
{% endif %}{% trans "创业状态：" %}{{ member.get_occupation_state }}
{% trans "项目简介：" %}{{ occupation.item_brief }}
{% trans "备注：" %}{{ occupation.remarks }}
{% trans "需求：" %}{{ demand.demand }}
{% trans "提供：" %}{{ demand.supply }}


Taste of Reality |
|
Beach Buster
$7.99
Fresh basil, ripe tomatoes, fresh mozzarella, garlic oil and balsamic vinegar on a long roll.
|
Big George
$8.49
Grilled marinated chicken breast, taylor ham, fried onions, roasted red peppers, and honey mustard on a long roll
|
|
|
Boonton Bomber
$7.99
Cappy ham, salami, pepperoni, provolone cheese, lettuce, tomato, onions, oil and vinegar on a long roll
|
Club Sandwiches
$6.49
of toast with bacon, lettuce, tomato and mayo
|
|
|
Dynamite
$7.99
Store cooked roast beef, pepperoni, fresh mozzarella topped with cole slaw and balsamic vinegar on a long roll
|
Father Tim
$7.99
mayo on a long roll
|
|
|
Fayson Lakes Hero
$7.49
oil and vinegar on a long roll
|
Flying Flembroni
$8.99
and Alfredo sauce on a toasted long roll
|
|
|
Full Monty
$7.99
Grilled roast beef, melted mozzarella cheese, hot and sweet peppers with horseradish dressing on a long roll
|
Jack’s Stack
$7.49
Hot pastrami, stacked high with melted swiss cheese and spicy mustard on grilled rye
|
|
|
Jen’s Italian Bird
$7.49
Breaded chicken cutlet, mozzarella cheese, fried eggplant, fresh sliced tomato and ricotta cheese on a kaiser
|
Jim’s Favorite
$7.49
Grilled marinated chicken breast, fresh mozzarella and red peppers on a kaiser
|
#MarchMadness without one of our big, delicious sandwiches? More like March sadness!
— A Taste Of Reality (@TasteofReality) March 19, 2015


Add a single symbol. Continuing to search results in the single selection being replaced by the new selection. We've removed the tags for this one as well.
Add up to 4 selections. Comma seperate entry to automatically add it to the selection list. Backspace to remove old entries.


Earth
Earth, the 3rd planet from the sun, is our home
Average Global Temperatures:
Day:
57°F
Night:
45°F
Made Of:
70% Water
30% Land


Texstyle allows you to format attributed strings easily.
Features
- Applying attributes with strong typing and autocompletion
- Cache for attributes
- Substyles
- Convenient extensions for
String
andUIButton
Requirements
- iOS 9.0+ / tvOS 9.0+
- Xcode 10.0+
Usage
Here is a basic example of Texstyle using:
let text = Text(value: "Hello, World 🌍", style: .title1)
text.add(.heading1, for: "World")
titleLabel.attributedText = text.attributed
The result:
Let’s start with text styles. There is a TextStyle
class for configuring different style parameters like font, color, kerning etc. We prefer to use TextStyle
extension for app specific styles:
extension TextStyle {
static let title1: TextStyle = {
let style = TextStyle()
style.font = .systemFont(ofSize: 32, weight: .regular)
return style
}()
static let heading1: TextStyle = {
let style = TextStyle()
style.font = .systemFont(ofSize: 28, weight: .semibold)
style.color = .purple
return style
}()
}
It allows you to reuse the styles across the app.
Next, create a Text
instance. It contains string value and style:
let text = Text(value: "Hello, World 🌍", style: .title1)
Text also supports independent styles for each UIControl.State
. For example, if you want to use a different style for button highlight state, you should initialize text like:
let text = Text(value: " Sign in with Apple", styles: [.normal: .heading1,
.highlighted: .heading2])
To create an attributed string, just use:
//By default for normal state
text.attributed
//For needed state
text.attributed(for: .highlighted)
All attributed strings are cached by default. It’s useful in reusable elements like UICollectionViewCell
or UITableViewCell
.
There are custom operators for texts and strings:
let text1 = Text(value: "Ros", style: .title1)
let text2 = text1 + "ber"
let text3 = Text(value: "ry", style: .title1)
let text4 = text2 + text3
text4.value // "Rosberry"
There are convenience APIs for text creation and applying:
//String to text
"Settings".text(with: .heading1)
//UIButton
button.setText(text)
Check TexstyleExample project for more examples.
Cache
TextStyle and Text classes have internal cache to prevent extra calculation. TextStyle caches attributes and invalidates it on any attribute change. Text has cached attributed strings for states. For example, if you use texts in collection view cells and want to update some labels in it after reuse, texts return cached strings. Please note that texts won’t invalidate cached strings if you update textstyle attributes.
Installation
CocoaPods
CocoaPods is a dependency manager for Cocoa projects. For usage and installation instructions, visit their website. To integrate Alamofire into your Xcode project using CocoaPods, specify it in your Podfile
:
pod 'Texstyle', '~> 0.0'
Carthage
Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks. To integrate Alamofire into your Xcode project using Carthage, specify it in your Cartfile
:
github "Rosberry/Texstyle" ~> 5.0
Documentation
Read the docs. Generated with jazzy. Hosted by GitHub Pages.
About
This project is owned and maintained by Rosberry. We build mobile apps for users worldwide 🌏.
Check out our open source projects, read our blog or give us a high-five on 🐦 @rosberryapps.
License
Texstyle is available under the MIT license. See the LICENSE file for more info.


# |
Description |
Weight |
Shipping Address |
Recipient |
Actions |
|---|---|---|---|---|---|
@package.Id |
@package.Description |
@package.Weight |
@package.ShippingAddress |
@package.Recipient.Username |
Ship |


Abby Day
02.16.17
The Promise Lives Campaign, which raised more than $500 million, started in July 2007 and ended in June 2015.
Ohio University President Roderick McDavis highlighted the completion of the Promise Lives Campaign during his president’s report for 2015.
The original goal of the campaign was $450 million. The campaign ended June 30, 2015 and was primarily paid for by three major donors.
During McDavis’ last State of the University address in August, he said OU has a solid financial foundation for the future, thanks to programs like the Promise Lives Campaign.
“That was one of the proudest moments of my career,” McDavis said in a previous Post report.
Landing Page
OU President Roderick McDavis is leaving February 17. The Post looks back at his time as Ohio's president. Click this box to read the rest of the stories from this issue.


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{% extends "base.html" %} {% block title %}Review your choice{% endblock %} {% block content %}
Your confidential patient information {% if session.get("opted_out") == "active" %} cannot {% else %} can {% endif %} be used | Change your preference
{% if confirmation_delivery_details.method == "sms" %}We will send confirmation of your choice to {{ confirmation_delivery_details.sms }}
{% elif confirmation_delivery_details.method == "email" %}We will send confirmation of your choice to {{ confirmation_delivery_details.email }}
{% endif %}


CrimPapers
Articles published on 5 December 2017
On 5 December 2017, 8 new articles were published in 4 journals.
The Relationship Between Homelessness and Behavior Problems Among Youth in North Texas: A Brief Report
Casino Gambling and the Family: Exploring the Connections and Identifying Consequences by Tammy L. Anderson, Veronica F. Rempusheski, Kelly N. Leedy
Fear of Crime and Behavioral Adaptations: Testing the Effects of Fear of Violence on Unstructured Socializing With Peers by Yue Yuan, Susan McNeeley
Rape Myths in the Media: A Content Analysis of Local Newspaper Reporting in the United States by Meghan Sacks, Alissa R Ackerman, Amy Shlosberg
What We Don’t Know May Hurt Us: An Examination of Systematic Bias in Offender Risk Assessments by Aaron Ho, Eric Lesneskie, Ko-Hsin Hsu
The Mediating Role of Street Code Attitudes on the Self-Control and Crime Relationship by Jonathan Intravia, Benjamin R Gibbs, Kevin T Wolff, Rocio Paez, Allison Bernheimer, Alex R Piquero
Domestic Minor Sex Trafficking in the Medical Setting: A Survey of the Knowledge, Discomfort, and Training of Pediatric Attending Physicians by Christine E. Barron, Jessica L. Moore, Grayson L. Baird, Amy P. Goldberg
Ernesto (che) Guevara: the Last “Heroic” Guerrilla by Gordon H. McCormick, Mark T. Berger
Note: although this article was published on 7 November 2017, the publisher only added it to the journal RSS feed on 5 December 2017, which is why it is shown in the list of articles for that date.


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Looks like you got lost. Let's get you back to the homepage!


Utility room fire doused
by Darren HandschuhUPDATE: 5:15 p.m.
A house fire on the 1200 block of 38th Avenue in Vernon Friday afternoon was contained to one room.
A tenant of the home reported flames and heavy smoke in the basement.
“The fire was contained to a single room,” says Deputy Chief Dwight Seymour. “There is minimal fire and water damage to the house, but a fair bit of smoke damage, so the tenants of the home will need to stay out of the house for at least one night.”
Emergency Social Services was on scene to assist the tenants. RCMP and BC Ambulance Service also attended the scene, but no injuries were reported.
Seymour said the fire does not appear to be suspicious.
ORIGINAL: 4:50 p.m.
Vernon Fire Rescue crews were called to a structure fire on 38th Avenue Friday afternoon.
The fire was in the 1200 block with flames reported to be in a crawl space just before 3:30 p.m.
Crews knocked the fire down.
Castanet has reached out to the city for details.


“A complex system that works is invariably found to have evolved from a simple system that worked.” ― John Gall