overrun
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**overrun**: n.
1. [techspeak] Term for a frequent consequence of data arriving faster
than it can be consumed, esp. in serial line communications. For
example, at 9600 baud there is almost exactly one character per
millisecond, so if a `*silo* <../S/silo.html>`__ can hold only two
characters and the machine takes longer than 2 msec to get to service
the interrupt, at least one character will be lost.
2. Also applied to non-serial-I/O communications. “I forgot to pay my
electric bill due to mail overrun.” “Sorry, I got four phone calls in 3
minutes last night and lost your message to overrun.” When
`*thrash* <../T/thrash.html>`__\ ing at tasks, the next person to make a
request might be told “Overrun!” Compare `*firehose
syndrome* <../F/firehose-syndrome.html>`__.
3. More loosely, may refer to a `*buffer
overflow* <../B/buffer-overflow.html>`__ not necessarily related to
processing time (as in `*overrun screw* `__).
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| `Prev `__ | `Up <../O.html>`__ | `Next `__ |
+---------------------------------+----------------------------+----------------------------------+
| overflow bit | `Home <../index.html>`__ | overrun screw |
+---------------------------------+----------------------------+----------------------------------+


Thoroughly Revised And Updated, The Essentials Of Computer Organization And Architecture, Second Edition Is A Comprehensive Resource That Addresses All Of The Necessary Organization And Architecture Topics Yet Is Concise Enough To Move Through In A Single Semester. The Text Covers Such Topics As Digital Logic, Data Representation, Machine-Level Language, General Organization, Assembly Language Programming, CPU Organization, Memory Organization, And Input/Output Devices, As Well As A New Chapter On Embedded Systems. Correlated To The ACM-IEEE Computing Curricula Guidelines, The Essentials Of Computer Organization And Architecture Is The Forefront Text For Your Computer Organization And Architecture Course.
Charles Petzold's latest book, Code: The Hidden Language of Computer Hardware and Software, crosses over into general-interest nonfiction from his usual programming genre. It's a carefully written, carefully researched gem that will appeal to anyone who wants to understand computer technology at its essence. Readers learn about number systems (decimal, octal, binary, and all that) through Petzold's patient (and frequently entertaining) prose and then discover the logical systems that are used to process them. There's loads of historical information too. From Louis Braille's development of his eponymous raised-dot code to Intel Corporation's release of its early microprocessors, Petzold presents stories of people trying to communicate with (and by means of) mechanical and electrical devices.
Want to get started building applications for Apple’s iPhone and iPod touch? Already building iPhone applications and want to get better at it? This is the only book that brings together all the expert guidance–and the code–you’ll need! Completely revised and expanded to cover the iPhone 3.0 SDK, The iPhone Developer’s Cookbook is the essential resource for developers building apps for the iPhone and iPod touch. Taking you further than before, this new edition starts out with an introduction to Objective-C 2.0 for developers who might be new to the platform. You’ll learn about Xcode and Interface Builder and learn how to set up and configure your iPhone Developer account
Mac and iPhone developers are often overwhelmed by the breadth and sophistication of the Cocoa frameworks. Although Cocoa is indeed huge, once you understand the object-oriented patterns it uses, you’ll find it remarkably elegant, consistent, and simple. Cocoa Design Patterns begins with the mother of all patterns: the Model-View-Controller (MVC) pattern, which is central to all Mac and iPhone development. Encouraged, and in some cases enforced by Apple’s tools, it’s important to have a firm grasp of MVC right from the start.
There's a reason that a large slice of the open-source movement has defected from running Linux on its laptops to running Mac OS X. The reason is the Unix core that underlies Mac OS X, and the development tools that run on that core. Cocoa makes it easy to create very slick Mac OS X interfaces for software (as well as to create applications in a hurry), and this new edition of Cocoa Programming for Mac OS X does an excellent job of teaching its readers how to put a Cocoa face on top of code (Objective-C code almost exclusively). If you know something about C and/or C++ programming and want to apply your skills to the Mac, this is precisely the book you want.
This exceptionally useful text offers Scott Myers's expertise in C++ class design and programming tips. The second edition incorporates recent advances to C++ included in the ISO standard, including namespaces and built-in template classes, and is required reading for any working C++ developer. The book opens with some hints for porting code from C to C++ and then moves on to the proper use of the new and delete operators in C++ for more robust memory management. The text then proceeds to class design, including the proper use of constructors, destructors, and overloaded operator functions for assignment within classes. (These guidelines ensure that you will create custom C++ classes that are fully functional data types, which can be copied and assigned just like built-in C++ classes.)
Assembly is a low-level programming language that's one step above a computer's native machine language. Although assembly language is commonly used for writing device drivers, emulators, and video games, many programmers find its somewhat unfriendly syntax intimidating to learn and use. Since 1996, Randall Hyde's The Art of Assembly Language has provided a comprehensive, plain-English, and patient introduction to assembly for non-assembly programmers. Hyde's primary teaching tool, High Level Assembler (or HLA), incorporates many of the features found in high-level languages (like C, C++, and Java) to help you quickly grasp basic assembly concepts. HLA lets you write true low-level code while enjoying the benefits of high-level language programming.
This comprehensive, up-to-date work covers advanced issues in the design and implementation of compilers for modern processors, written for professionals and graduate students.
Designed as a self-study guide, the book describes the real-world tradeoffs encountered in building a production-quality, platform-retargetable compiler. The authors examine the implementation of lcc, a production-quality, research-oriented retargetable compiler, designed at AT&T Bell Laboratories for the ANSI C programming language. The authors' innovative approach-a "literate program" that intermingles the text with the source code-uses a line-by-line explanation of the code to demonstrate how lcc is built.


After breakfast, visit botnical garden in Peradeniya
Then get fast drive to Nuwara Eliya
Famous ceylon tea palace and tea museum and taste a best hot cup of Ceylon tea
Ramboda Falls
Then transfer from Nuwara Eliya to Ella Gap
Stay night in Ella Gap
-


Please let us know a few things about yourself before we get started!
Well hey , did somebody say "bring the heat!"? Because we are saying "go check out Tostralia". Didn't choose to go somewhere hot? Well, your answer it seemed like tended toward a warmer environment so... also, you shouldn't have put so much faith into the internet. I mean really. Anyways, have a great trip. This link here will direct you to where you can book your flight and accomodations for your trip at a low cost, and don't worry about a rental car, Tostralia has no paved streets so you'll get to walk everywhere you go and burn tons of unwanted calories. Plus hey, they make an amazing cake there!
We think you, (), better hop a plane to Vivimarlostown. Vivimarlostown is basically a secluded picturesque mountain range. You might see a coupole of people, but meh. It is absolutely stunning there! Beauty as far as the eye can see! The weather can be pretty predictably aweful, however it is always worth the monsooning rains for the way it keeps the landscape lush. Duh. Click this link to book your flight and hotel stay together now, and be entered to win the chance to be entered into a drawing to win a new key chain! Rental cars are an option, but we don't provide it. Plus hey, they make an amazing cake there!
What can I even say about Tussia, ? Inviting? Welcoming? full of people looking for new friends? I guess kind of a robust population. The weather can be insane. Sun, rain, wind, but always in the winter it is absolutely stunning. Honestly I dont really know. I made the place up for this project so it doesn't really exist outside of my brain. Although now that you know it too, maybe its more than just that. Anyways, have some faith, put your trust into us, and just close your eyes and click purchase on the page that this link takes you to. There are so many wonderful places in the world we live in, why not close your eyes, and let Jesus grab the wheel and see where you end up! Plus hey, they make an amazing cake there!
Hey , look at you. Let's not go far, but let's not confine ourselves based off of not knowing the language or anything of the sort. Let's check out Salifornia, no? You seem to be fairly flaxable in what youre going to experience. Based off of the informaion that you have provided us, we find it to be in your best interests to click this link and then to click the buy button on the page it takes you to. Don't worry about looking into where you are going to end up, it's only like a couple grand for a plane ticket and when it's all said and done then you'll only really have spent like 20-30 thousand dollars on this entire package so what do you really have to lose? Plus hey, they make an amazing cake there!


Health, Safety, and Experience
The High Line Canal’s form and character emerged from its need to convey water and was never planned as a place for people. As such, the Canal, moving through the urban grid, produced unusual relationships and feels lacking in amenities. The Plan promotes strategies to improve the human experience through intentional design and maintenance, supporting the physical, mental, and social well–being of its users.
A welcome refuge for people
Moving Along the Canal
Trail gaps, unsafe street crossings, and access challenges exist along the entire 71-mile-long corridor. The Plan provides a toolkit of strategies to make safer, more effective connections while also adding amenities, improving the user experience, and increasing visibility to the community.
Existing Conditions Takeaways:
- The Canal has 85 at-grade crossings, 16 of those at medium or high volume roadways, making continuous travel very difficult.
- Three major trail gaps exist today that are barriers to connectivity–Plum Creek in Douglas County, Wellshire Golf Course at Hampden Avenue and Colorado Boulevard, and Tower Road to Green Valley Ranch in Aurora. While actions are funded to close the gaps at Wellshire and Tower Road to Green Valley Ranch by 2021, the Plum Creek will require longer–term planning to resolve.
- Amenities like benches, restrooms, and playgrounds are clustered together but create large gaps along the trail. The trail is well–served by benches.
- Community members expressed the desire for signage and wayfinding to direct users along the Canal and help them to understand their location despite the non-direct nature of the path.
Strategies for Human Health, Use, Comfort, and Safety
- Designing to promote and encourage shared and safe multimodal use of the trail and its crossings by pedestrians, bicyclists, and equestrians, with special attention to the needs of the most vulnerable: children, the elderly and persons with disabilities.
- Develop inclusive and affordable programming that encourages active use of the Canal.
- Use signage and design elements to communicate trail rules and regulations to create a safe and comfortable environment for all users.
- Enhance amenities, such as seating, signage and wayfinding, trailheads, and parking.
- Embrace the Canal as being nondirect: an innately slow path.


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Recent posts
- The 1000 most commonly followed Twitter accounts by YC company founders, tech investors, and Members of Congress
- Looking at who Olympians follow on Twitter
- Visualizing where people run in Chapel Hill, Durham, and Raleigh
- Introducing CivicAide: A Ruby gem for the Google Civic Information API
- Using Nokogiri, the Data Science Toolkit, and Github to map government data
- LazyYT.js: A jQuery plugin to lazy load Youtube videos
- Introducing Statgy: A short-term social media share tracking tool
- Introducing FriendtheVote.com: A new online tool to encourage voter participation this election through Facebook
Recent projects
I enjoy working on a wide range of types of projects with Ruby, Rails, JavaScript, HTML, CSS, Hifi, Wordpress, and anything else that comes along. Here are some I've worked on, many with New Media Campaigns.
- Alex Sink for Congress Design for Alex Sink's campaign for Congress
- House Majority PAC Design and developerment for a leading Super PAC
- Running Lane Development of a Rails app for an online coaching startup for runners
- Windsor Circle Development for a marketing site for an ecommerce startup
- Mark Herring for Attorney General Design and development for VA Attorney General Herring
- Statgy Design and development of short-term social media share count tracking tool built on Rails
- Salvone Design and development for a Rails app to track content changes on websites
Open Source
I try to push as much code as I can to Github in the hope that someone else will find it useful. Here are some of the projects.
- CoverPop.js JavaScript plugin for setting up modal splash pages
- CivicAide Ruby gem for the Google Civic Information API
- Frizzle Ruby gem for the TransLoc bus tracking API
- Quackers An easier, better Share by Email JS setup. Responsive, lightbox-y form with button integration.
- LazyYT jQuery plugin to lazy load Youtube iframe videos
- Twitter Most Followed Ruby scripts to find the most commonly followed Twitter accounts by a group of people
- Running Maps Ruby scripts to generate map visualizations of the most popular running routes in a city
Speaking
- Politics and Social Media North Carolina Institute of Political Leadership


--- layout: page title: "Scala in Depth" prev: kindle_split_007.html next: kindle_split_009.html book_path: books/scala-in-depth-joshua-d-suereth--_oeb/ --- {% include JB/setup %} {% raw %}
On the cover of Scala in Depth is a figure dressed in “An old Croatian folk costume.” The illustration is taken from a reproduction of an album of Croatian traditional costumes from the mid-nineteenth century by Nikola Arsenovic, published by the Ethnographic Museum in Split, Croatia, in 2003. The illustrations were obtained from a helpful librarian at the Ethnographic Museum in Split, itself situated in the Roman core of the medieval center of the town: the ruins of Emperor Diocletian’s retirement palace from around AD 304. The book includes finely colored illustrations of figures from different regions of Croatia, accompanied by descriptions of the costumes and of everyday life.
While the caption for the illustration on the cover does not tell us the town or region of origin, the blue woolen trousers and richly embroidered vest and jacket that the figure is wearing are typical for the mountainous regions of central Croatia. Dress codes and lifestyles have changed over the last 200 years, and the diversity by region, so rich at the time, has faded away. It’s now hard to tell apart the inhabitants of different continents, let alone of different hamlets or towns separated by only a few miles. Perhaps we have traded cultural diversity for a more varied personal life—certainly for a more varied and fast-paced technological life.
Manning celebrates the inventiveness and initiative of the computer business with book covers based on the rich diversity of regional life of two centuries ago, brought back to life by illustrations from old books and collections like this one.


Online tuition system is basically a common platform for both interested tutor and students. Here,the students and teachers have been categorized differently.Both the parties need an email id and password for signing up in the website. They will be providing information in their own profile. Besides general information, there will be information such as – classes, subjects, present tutors for students and tutoring status, academic background, institution for the teachers.According to their provided information the students are able to find their desired teacher and vice- versa.Both the users can change or update their profile anytime. The students are able to see the teacher’s profile and so the teachers. There is a messaging option where students and teachers are connected through messages. The admin of the website will have control over the whole process. He will be able to see the profiles of both parties and can keep records. In this way, the students and teachers can find their preferable ones successfully.


By applying either the Default, Default 2 or Nifty skins, the Repository module can be used to display of list of files with a corresponding image. Nifty is similar to Nifty Toggle however it doesn't include the summary field. Each listing displays the item title, thumbnail image, description, the contributor's name, the file size, the number of times the file has been downloaded, and the date and time when the item was last updated. The contributor can optionally display their email address. Users can click on the image thumbnail to view the full size image in a new Web browser. A link to DOWNLOAD the file is displayed to users in the download role.
Categories, sorting, ratings and comments are enabled on these skins.
The Default Repository
The Default 2 Repository
The Nifty Repository


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Hi there! My Chinese name is 高嘉蕊, which means beautiful blooming flowers. I grew up in Changchun City, a lovely snowy place in northeast China. I'm a software engineer at Google. I'm passionate about connecting people with techonology, and building products that are equally accessible to everyone. I obtained my master degree in software engineering at Carnegie Mellon University, Silicon Valley. I received my bachelor's degree in computer science from Fudan University, Shanghai. I was advised by Prof. Yanwei Fu and Prof. Yu-Gang Jiang to work on machine learning and multimedia then. CV / LinkedIn / GitHub |
The profile picture is taken by my sweet boyfriend Xingyi Zhou at Santa Monica.
Last updated 12/31/2020 by Jiarui Gao
Developed a manual review tool for Engagement Rewards By Google to visualize per user abuse information.
Established fully tested back-end RPC services to retrieve and process data from Spanner database.
Integrated with two frameworks to securely access user data and utilize Google-wide abuse protections.
Developed a Java web application for Outside Business Interest system as an effective PoC.
Proposed a novel graph algorithm in AngularJS2.0 on front-end to render decision processes with a config- urable set of tree-like rules.
Designed a new database schema using DB2 temporary tables on back-end to make history data traceable.
In this paper, we propose a new architecture–Frame-Transformer Emotion Classi cation Network (FT-EC-net) to solve three highly correlated emotion analysis tasks: emotion recognition, emotion attribution and emotion-oriented summarization. We also contribute a new dataset for emotion attribution task by annotating the ground-truth labels of attribution segments.
We propose a new neural approach Frame-Bi-stream Emotion Attribution-Classification Network(BEAC-Net), an end-to-end trainable neural architecture that tackles emotion attribution and classification simultaneously with significant performance improvements. Also we propose an efficient dynamic programming method for video summarization based on the output of A-Net. To establish a good benchmark for emotion attribution, we re-annotate the Ekman-6 dataset with the most emotion-oriented segments which can be used as the ground-truth for the emotion attribution task.


Gouda
Pepper jack cheddar smelly cheese. Mozzarella who moved my cheese queso cheesy grin paneer fondue jarlsberg mozzarella. Airedale stinking bishop roquefort mascarpone croque monsieur cauliflower cheese camembert de normandie swiss. Cheesy grin ricotta cheesy grin everyone loves fromage frais lancashire.
Mozzarella
Cheese and biscuits brie stinking bishop. Smelly cheese port-salut monterey jack pecorino queso queso cauliflower cheese cheddar. Ricotta croque monsieur st. agur blue cheese boursin fromage cow stilton emmental. Say cheese camembert de normandie.
Blue Cheese
Ricotta caerphilly cottage cheese. Cheese triangles queso ricotta cheesy feet parmesan feta hard cheese macaroni cheese. Hard cheese cauliflower cheese the big cheese cottage cheese squirty cheese st. agur blue cheese cauliflower cheese the big cheese. Cheesecake port-salut danish fontina mascarpone cheesy feet cheese strings cheesecake caerphilly. Pepper jack cheese and biscuits.
Cheddar
Mozzarella st. agur blue cheese fondue. Halloumi squirty cheese croque monsieur fondue cheesy feet smelly cheese caerphilly say cheese. Mascarpone lancashire cheese and biscuits goat blue castello danish fontina say cheese camembert de normandie. Lancashire camembert de normandie.
Swiss
Bavarian bergkase emmental feta. Brie halloumi the big cheese cottage cheese halloumi monterey jack jarlsberg gouda. Who moved my cheese boursin camembert de normandie cauliflower cheese cheese triangles rubber cheese bocconcini cheese on toast. Parmesan cream cheese cut the cheese monterey jack bavarian bergkase babybel say cheese jarlsberg. Lancashire mozzarella smelly cheese.


ChangeLog
- 26/05/2013 - Users list reseted!
- 26/05/2013 - Now IE 1~9 are blocked! Only Chrome and IE 10 are accepted!
- 18/05/2013 - A new design began to be created!
- 18/05/2013 - Serious bug in attack system was resolved!
- 17/05/2013 - Bugs in the attack system were resolved!
- 17/05/2013 - Aztecs, Byzantines and British are now available!
- 17/05/2013 - Users list reseted!
- 03/05/2013 - Return system finished!
- 03/05/2013 - A lot of bugs of troops were resolved!
- 03/05/2013 - Users list reseted!
- 01/05/2013 - Index modified!
- 01/05/2013 - ChangeLog created!
- 01/05/2013 - Battle system finished!
- 01/05/2013 - Fixed bug in message system!
- 01/05/2013 - Users list reseted!


Nanodrop II/Nanodrop Express
For a complete high-throughput solution for low-volume, high-precision pipetting, try the 8-channel Nanodrop II or the 16-channel Nanodrop Express.
Each system has interchangeable, fixed-tip heads (1x8 or 2x4 configurations for the Nanodrop II and 1x16 or 2x8 configurations for the Nanodrop Express) and comes with two plate positions that enable applications such as assay miniaturization, DNA normalization, method development, PCR and NGS reaction setup, or protein crystallography.
The Nanodrop technology aspirates and dispenses a broad range of liquids, including DMSO, and features the Nanobuilder software system that enables a wide range of applications and data manipulation. This patented technology isolates the solenoid dispense actuators from the sample path to assure long life and easy, low- cost maintenance - even with regular use of difficult suspensions such as proteins, cells and YOx beads.
Key Features and Benefits
- Sample transfer and bulk reagent addition on the same platform
- Aspirate and dispense with individual channel volume control
- Interchangeable 1x8 to 2x4 head; or, 1x16 to 2x8 heads
- Micro solenoid valves for fast, precise low-volume applications and mixing
- Exceptional dynamic range (nanoliter to milliliter)
- Valve-free fluid path for outstanding reliability
- FEP, SS, sapphire wetted parts compatible with commonly used solvents
- 96-, 384- and 1536-well plate formats, irregular and flat plate formats supported
- Deep well and crystallography plates supported
- Easy to program, easy to automate
- Simple cleaning and maintenance
Typical Applications
- PCR template and cocktail additions
- DNA normalization
- Assay miniaturization
- Serial dilution
- Cell plating
- Sample transfer
- Bulk reagent addition
- Protein crystallography screens
- MALDI plate spotting
Performance Specifications
Dispense Range
- Microsolenoids: 0.1 - 800ul
- 500ul syringe: 5-500ul
- 1000ul syringe: 5-1000ul
Aspirate Range
- 500ul syringe: 0-500ul
- 1000ul syringe: 0-1000ul
Dispense Precision
- ? 10% at 100nl
- ? 7% at 200nl
- ? 5% at 1ul
Residual Volume
General Specifications
Dimensions
- Nanodrop II Fluidics: 13" H x 11" W x 18" D
- Nanodrop Express Fluidics: 13" H x 22" W x 18" D
- Stage: 12.7" H x 9.7" W x 21.1" D
Weight
- Nanodrop II Fluidics: 25 pounds
- Nanodrop Express Fluidics: 50 pounds
- Stage: 29.5 pounds
Automation Control
Interface
- RS-232 connectivity, Nanobuilder software


droneee
After completing simoninithomas' online Deep Reinforcement Learning Course, I wanted to try my hand at applying RL to real life. I decided that the best way to do that was to take the drone I tried building with a friend a few years back, and somehow make it fly autonomously using RL. I wanted to use Proximal Policy Optimization (PPO), since it was the state-of-the-art algorithm that OpenAI had used to beat the top Dota2 teams.
PPO involves collecting a small batch of experiences interacting with the environment and using that batch to update its decision-making policy. Once the policy is updated with this batch, the experiences are thrown away and a newer batch is collected with the newly updated policy. This is the reason why it is an “on-policy learning” approach where the experience samples collected are only useful for updating the current policy once. The key contribution of PPO is ensuring that a new update of the policy does not change it too much from the previous policy. This leads to less variance in training at the cost of some bias, but ensures smoother training and also makes sure the agent does not go down an unrecoverable path of taking senseless actions.
After a solid two months of work on the project, I realized that it was too dangerous to test and I didn't have the appropriate hardware, so I put the project on hold. (pretty funny that it took me 2 months to realize that a 3D printed fpv drone with blades spinning upwards of 80mph was too dangerous to test but more on that later).
Below is a quick run-down of my process building the drone so far, and the valuable lesson I learned while making it:
Build Process
Building
The drone itself actually started as a joint project with a friend of mine, but we ran into a problem and never got around to completing it. After like 2 years of the drone parts sitting in my garage I decided to rebuild and re-purpose it for this project.
The drone is based off the Hovership MHQ2, which was designed to be a cheap FPV drone. As a result, the hardware we bought was built for drone racing. This hardware included a Naze32 flight controller. I 3D printed the drone frame, soldered the motors, escs, power-distro board, etc., and assembled the drone over the course of a weekend. It flew fine using an actual RC controller (not that I really knew how to fly it lol).
I didn't realize it when I started the project, but the firmware for Naze32 (cleanflight/baseflight) has little to no support for control outside of RC (and required a bit of a hack to control it using a raspberry pi later on).
Python Flight Control and Design
Once I had a working drone, I had to figure out a way to control it with a neural network. I found a python library called pyMultiWii, which used the MultiWii Serial Protocol to send/receive data from the flight controller. I installed it on a raspberry pi and hooked it up to the flight controller. After a couple days of trying to get it to work (raspberry pi compatibility smh) and realizing that I had to downgrade my flight controller firmware way down, I managed to control the drone using a raspberry pi. The whole process was pretty sketchy, since I was essentially bypassing the flight controller entirely and only using it to relay raw speed signals directly to the motors. The next step was to figure out how to design a program that could control the drone autonomously.
My design went like this:
- Train an Actor-Critic PPO network that can translate 6 different directional inputs (i.e. forward, backward, up, down, left, right) into motor speed signals
- Utilize a pre-trained face detection neural net to detect faces from the raspberry pi camera's input
- Write a program that can take the output from the face detection neural net and determine the distance of the subject from the drone (calculated from the size of the bounding box), then translate them into a directional movement (to keep the subject within 10 feet of the drone).
- Feed that directional input into the PPO network, which then outputs the motor speed signals, which would then be fed into the flight controller using pyMultiWii.
- Profit? (put all the stuff on the drone and hope it works)
Training
The reason my design is so convoluted is because, while it is theoretically possible to skip the object detection network entirely and feed the PPO network the raw camera input, I had no realistic way to train such a network. My thought was that I could feasibly train a PPO network within a simulator if I just told it to fly (stably) in a certain direction and measured how accurately it achieved that.
Initially I tried to use the AirSim simulator, which was built on unreal engine. Unfortunately, the python interface for the simulator was pretty lacking, so I instead switched to an OpenAI gym environment called gymfc (gym flight controller).
oof.
So at this point in the build process, I had actually completed every step in my design (except for debugging, which should be steps 5-500). Now step 5 is where I ran into a bit of a hiccup and realized that the project was too dangerous. See, I was installing everything on the raspberry pi, when I realized that there was no possible way that a tiny raspberry pi was powerful enough to fit both an object detection neural net, a PPO neural net, process camera input, and control the drone at the same time.
It was also at this time that I realized that the drone blades would spin wayyyy to fast for it to be safe, meanwhile I was trying to have it follow a persons face! Why did it take me like 2 months into the project to realize this super simple fact? College apps probably. I was in a rush to finish this project in time for college apps and it never occurred to me that if my algorithms weren't perfect (which you already know they were the furthest thing from it), there was a very real possibility that the drone could crash into someone, or crash into a rock or something and shatter into a million pieces.
The moral of the story, at least for me, is that AI can be dangerous, yet the field is dominated by people rushing to develop the most advanced algorithms and secure the most funding. Taking a step back at the beginning and thinking about the impact is pretty important, ngl.
Issues currently preventing me from completing the project:
- Need to use a safer drone (that doesn't have blades spinning upwards of 80mph)
- Need either:
a computer small enough to fit on the drone that can run both an object detection neural network and the PPO
or train a different PPO algorithm that can take raw camera data and drone attitude/IMU as input and output motor speed levels. - Ideally also need a flight controller with more support for autonomy. In fact, if I do it this way, I might not even need the PPO network to output motor speed signals, since the flight controller would be able to interpret directional input.
Hopefully I can fix these in the future. When I reboot this project, I am definitely going to choose a different drone architecture, namely one that uses the Pixhawk flight controller and mavlink (since they were designed with autonomy in mind and have support for such features).
sirmammingtonham/droneee


Numbers 7:60
On the ninth day Abidan the son of Gideoni, prince of the children of Benjamin, offered:


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By engaging diverse public and private leaders, we “ignite” the development and deployment of new apps with profound impact on how Americans work, live, learn and play.
Our organization is an independent, 501(c)(3) nonprofit, with original inspiration from the White House Office of Science and Technology Policy and the National Science Foundation, and our deeply experienced team is responsible for convening US Ignite partners in industry, academia and government to identify and share best practices and resources.
As transformative, next-generation applications begin to be experienced by Americans across the country, US Ignite has the ripple effect of driving new business opportunities and accelerating U.S. leadership in the adoption of ultra-fast broadband and software-defined networks in communities nationwide.
US Ignite will transform how we receive healthcare, educate our children, keep our communities safe, become more energy efficient, train our employees, and manufacture goods. And we can’t do it without you.
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ComboBox - Overview
IntegralUI ComboBox is a native AngularJS directive which acts as a dropdown list component. Using options in right panel, you can check out some of the built-in properties of the ComboBox directive:
- enabled - determines whether the ComboBox is enabled or disabled
- integralHeight - when true, the height of the dropdown list is based on items number shown in whole
- rtl - changes the ComboBox layout to left-to-right or right-to-left
- showIcons - determines whether items are displayed with their icon
- dropDownWidtht - specifies the width of the dropdown list, which can be larger or equal to ComboBox width
- dropDownHeight - specifies the height of the dropdown list
- maxDropDownItems - determines how many items are visible in dropdownlist
Other features:


Various pieces of code can consume the request data and preprocess it. For instance JSON data ends up on the request object already read and processed, form data ends up there as well but goes through a different code path. This seems inconvenient when you want to calculate the checksum of the incoming request data. This is necessary sometimes for some APIs.
Fortunately this is however very simple to change by wrapping the input stream.
The following example calculates the SHA1 checksum of the incoming data as it gets read and stores it in the WSGI environment:
import hashlib
class ChecksumCalcStream(object):
def __init__(self, stream):
self._stream = stream
self._hash = hashlib.sha1()
def read(self, bytes):
rv = self._stream.read(bytes)
self._hash.update(rv)
return rv
def readline(self, size_hint):
rv = self._stream.readline(size_hint)
self._hash.update(rv)
return rv
def generate_checksum(request):
env = request.environ
stream = ChecksumCalcStream(env['wsgi.input'])
env['wsgi.input'] = stream
return stream._hash
To use this, all you need to do is to hook the calculating stream in before the request starts consuming data. (Eg: be careful accessing request.form or anything of that nature. before_request_handlers for instance should be careful not to access it).
Example usage:
@app.route('/special-api', methods=['POST'])
def special_api():
hash = generate_checksum(request)
# Accessing this parses the input stream
files = request.files
# At this point the hash is fully constructed.
checksum = hash.hexdigest()
return 'Hash was: %s' % checksum


What a responsive site is, and why responsiveness is important- they're important because the means the content of the site is responsive to the size of the browser and this makes for easier usability.
What mobile first design is, and why it's important - its important because most people use their phones to browse websites and having a website that isn't mobile friendly will turn away audiences.
What frameworks are, and their pros and cons- ??
What a wireframe is and why we use it- its used to draft up a website because we start writing it into code.


Complete the following examples
Just select something and check its text
...
Click the button in the correct div
after clicking correct button, look for text: 'Yay'
Click the button for eye colour (it may not always be brown)
after clicking correct button, look for text: 'Well done'
This button takes a second to update, is that a problem?
Write a test that checks the no error button doesn't cause an error
you can use the other button to check that your test code would work.
Write a reusable function to make testing the following clauses simple
click the first button and see the text wibble click the second button and see the text flibble click the third button and see the text bibble
Use fixtures to load data into a form


"NEEDLE "used only in the proverb, “to pass through a needle’s eye”(Matthew 19:24; Mark 10:25; Luke 18:25). Some interpret the expression as referring to the side gate, close to the principal gate, usually called the“eye of a needle” in the East; but it is rather to be taken literally. The Hebrew females were skilled in the use of the needle (Exodus 28:39; 26:36; Judges 5:30).
"NEEDLE "used only in the proverb, “to pass through a needle’s eye”(Matthew 19:24; Mark 10:25; Luke 18:25). Some interpret the expression as referring to the side gate, close to the principal gate, usually called the“eye of a needle” in the East; but it is rather to be taken literally. The Hebrew females were skilled in the use of the needle (Exodus 28:39; 26:36; Judges 5:30).


Persisting the State is an integral part of any application, and it profoundly influences how we architect the application. But do we need to store the state in the first place? Is there any alternative?
Together, let's experience a difference perspective of State Management.


| Property | Defined by | ||
|---|---|---|---|
| USE_FAST_MATH : Boolean = false [static]
Specifies whether to use fast math calculations.
| Matrix4Math |
| Method | Defined by | ||
|---|---|---|---|
|
[static]
Computes the addition of two Matrix4 matrices.
| Matrix4Math | ||
|
axisRotation(u:Number, v:Number, w:Number, angle:Number):Matrix4
[static]
Computes a rotation Matrix4 matrix for a general axis of rotation.
| Matrix4Math | ||
|
[static]
Computes a rotation Matrix4 matrix for a general axis of rotation.
| Matrix4Math | ||
|
[static]
Computes a Matrix4 matrix for a rotation around a specific axis through a specific point.
| Matrix4Math | ||
|
[static]
Returns the clone of a Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes the determinant of a Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes the 3x3 determinant of a Matrix4 matrix.
| Matrix4Math | ||
|
eulerRotation(ax:Number, ay:Number, az:Number):Matrix4
[static]
Computes a rotation Matrix4 matrix from the Euler angle in degrees.
| Matrix4Math | ||
|
[static]
Returns the inverse of a Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes the trace of a Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes the multiplication of two Matrix4 matrices.
| Matrix4Math | ||
|
[static]
Computes the multiplication of two Matrix4 matrices, as if they were 3x3.
| Matrix4Math | ||
|
[static]
Computes the multiplication of two Matrix4 matrices.
| Matrix4Math | ||
|
[static]
Computes a rotation Matrix4 matrix for an x axis rotation.
| Matrix4Math | ||
|
[static]
Computes a rotation Matrix4 matrix for an y axis rotation.
| Matrix4Math | ||
|
[static]
Computes a rotation Matrix4 matrix for an z axis rotation.
| Matrix4Math | ||
|
[static]
Computes a scale Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes a scale Matrix4 matrix from a scale Point3D.
| Matrix4Math | ||
|
[static]
Multiplies a 3D vertex by a Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Multiplies a 3D Point3D by a Matrix4 matrix as a 3x3 matrix.
| Matrix4Math | ||
|
translation(nTx:Number, nTy:Number, nTz:Number):Matrix4
[static]
Computes a translation Matrix4 matrix.
| Matrix4Math | ||
|
[static]
Computes a translation Matrix4 matrix from a Point3D.
| Matrix4Math |
| USE_FAST_MATH | property |
public static var USE_FAST_MATH:Boolean = false
Specifies whether to use fast math calculations.
| addMatrix4 | () | method |
public static function addMatrix4(m1:Matrix4, m2:Matrix4):Matrix4
Computes the addition of two Matrix4 matrices.
Parametersm1:Matrix4 — The first matrix.
|
|
m2:Matrix4 — The second matrix.
|
Matrix4 —
The resulting matrix.
|
| axisRotation | () | method |
public static function axisRotation(u:Number, v:Number, w:Number, angle:Number):Matrix4
Computes a rotation Matrix4 matrix for a general axis of rotation.
[ToDo: My gosh! Explain this Thomas ;-) ]
Parametersu:Number — rotation X.
|
|
v:Number — rotation Y.
|
|
w:Number — rotation Z.
|
|
angle:Number — The angle of rotation in degrees.
|
Matrix4 —
The resulting matrix.
|
| axisRotationPoint3D | () | method |
public static function axisRotationPoint3D(v:Point3D, angle:Number):Matrix4
Computes a rotation Matrix4 matrix for a general axis of rotation.
Parametersv:Point3D — The axis of rotation.
|
|
angle:Number — The angle of rotation in degrees.
|
Matrix4 —
The resulting matrix.
|
| axisRotationWithReference | () | method |
public static function axisRotationWithReference(axis:Point3D, ref:Point3D, pAngle:Number):Matrix4
Computes a Matrix4 matrix for a rotation around a specific axis through a specific point.
NOTE - The axis must be normalized!
Parametersaxis:Point3D — A Point3D representing the axis of rotation.
|
|
ref:Point3D — The center of rotation.
|
|
pAngle:Number — The angle of rotation in degrees.
|
Matrix4 —
The resulting matrix.
|
| clone | () | method |
public static function clone(m:Matrix4):Matrix4
Returns the clone of a Matrix4 matrix.
Parametersm:Matrix4 — The matrix to clone.
|
Matrix4 —
The resulting matrix.
|
| det | () | method |
public static function det(m:Matrix4):Number
Computes the determinant of a Matrix4 matrix.
Parametersm:Matrix4 — The matrix.
|
Number — The determinant.
|
| det3x3 | () | method |
public static function det3x3(m:Matrix4):Number
Computes the 3x3 determinant of a Matrix4 matrix.
Uses the upper left 3 by 3 elements.
Parametersm:Matrix4 — The matrix.
|
Number — The determinant.
|
| eulerRotation | () | method |
public static function eulerRotation(ax:Number, ay:Number, az:Number):Matrix4
Computes a rotation Matrix4 matrix from the Euler angle in degrees.
Parametersax:Number — Angle of rotation around X axis in degrees.
|
|
ay:Number — Angle of rotation around Y axis in degrees.
|
|
az:Number — Angle of rotation around Z axis in degrees.
|
Matrix4 —
The resulting matrix.
|
| getInverse | () | method |
public static function getInverse(m:Matrix4):Matrix4
Returns the inverse of a Matrix4 matrix.
Parametersm:Matrix4 — The matrix to invert.
|
Matrix4 —
The inverse Matrix4 matrix.
|
| getTrace | () | method |
public static function getTrace(m:Matrix4):Number
Computes the trace of a Matrix4 matrix.
The trace value is the sum of the element on the diagonal of the matrix.
Parametersm:Matrix4 — The matrix we want to compute the trace.
|
Number — The trace value.
|
| multiply | () | method |
public static function multiply(m1:Matrix4, m2:Matrix4):Matrix4
Computes the multiplication of two Matrix4 matrices.
[ToDo: Explain this multiplication ]
Parametersm1:Matrix4 — The first matrix.
|
|
m2:Matrix4 — The second matrix.
|
Matrix4 —
The resulting matrix.
|
| multiply3x3 | () | method |
public static function multiply3x3(m1:Matrix4, m2:Matrix4):Matrix4
Computes the multiplication of two Matrix4 matrices, as if they were 3x3.
Parametersm1:Matrix4 — The first matrix.
|
|
m2:Matrix4 — The second matrix.
|
Matrix4 —
The resulting matrix.
|
| multiply4x3 | () | method |
public static function multiply4x3(m1:Matrix4, m2:Matrix4):Matrix4
Computes the multiplication of two Matrix4 matrices.
[ToDo: Explain this multiplication ]
Parametersm1:Matrix4 — The first matrix.
|
|
m2:Matrix4 — The second matrix.
|
Matrix4 —
The resulting matrix.
|
| rotationX | () | method |
public static function rotationX(angle:Number):Matrix4
Computes a rotation Matrix4 matrix for an x axis rotation.
Parametersangle:Number — Angle of rotation.
|
Matrix4 —
The resulting matrix.
|
| rotationY | () | method |
public static function rotationY(angle:Number):Matrix4
Computes a rotation Matrix4 matrix for an y axis rotation.
Parametersangle:Number — Angle of rotation.
|
Matrix4 —
The resulting matrix.
|
| rotationZ | () | method |
public static function rotationZ(angle:Number):Matrix4
Computes a rotation Matrix4 matrix for an z axis rotation.
Parametersangle:Number — Angle of rotation.
|
Matrix4 —
The resulting matrix.
|
| scale | () | method |
public static function scale(nXScale:Number, nYScale:Number, nZScale:Number):Matrix4
Computes a scale Matrix4 matrix.
|Sx 0 0 0| |0 Sy 0 0| |0 0 Sz 0| |0 0 0 1|Parameters
nXScale:Number — Scale factor in the x direction.
|
|
nYScale:Number — Scale factor in the y direction.
|
|
nZScale:Number — Scale factor in the z direction.
|
Matrix4 —
The resulting matrix.
|
| scalePoint3D | () | method |
public static function scalePoint3D(v:Point3D):Matrix4
Computes a scale Matrix4 matrix from a scale Point3D.
|Sx 0 0 0| |0 Sy 0 0| |0 0 Sz 0| |0 0 0 1|Parameters
v:Point3D — The Point3D containing the scale values.
|
Matrix4 —
The resulting matrix.
|
| transform | () | method |
public static function transform(m:Matrix4, pv:Point3D):Point3D
Multiplies a 3D vertex by a Matrix4 matrix.
Parametersm:Matrix4 — The matrix.
|
|
pv:Point3D — The vertex.
|
Point3D —
The resulting Point3D.
|
| transform3x3 | () | method |
public static function transform3x3(m:Matrix4, pv:Point3D):Point3D
Multiplies a 3D Point3D by a Matrix4 matrix as a 3x3 matrix.
Uses the upper left 3 by 3 elements
Parametersm:Matrix4 — The matrix.
|
|
pv:Point3D — The Point3D.
|
Point3D —
The resulting Point3D.
|
| translation | () | method |
public static function translation(nTx:Number, nTy:Number, nTz:Number):Matrix4
Computes a translation Matrix4 matrix.
|1 0 0 0| |0 1 0 0| |0 0 1 0| |Tx Ty Tz 1|Parameters
nTx:Number — Translation in the x direction.
|
|
nTy:Number — Translation in the y direction.
|
|
nTz:Number — Translation in the z direction.
|
Matrix4 —
The resulting matrix.
|
| translationPoint3D | () | method |
public static function translationPoint3D(v:Point3D):Matrix4
Computes a translation Matrix4 matrix from a Point3D.
|1 0 0 0| |0 1 0 0| |0 0 1 0| |Tx Ty Tz 1|Parameters
v:Point3D — Translation Point3D.
|
Matrix4 —
The resulting matrix.
|


{{ define "main" }}
{{ partial "heroArea.html" . }}
{{ partial "services.html" . }}
{{ partial "feature.html" . }}
{{ partial "screenshots.html" . }}
{{ partial "faq.html" . }}
{{ partial "video.html" . }}
{{ partial "testimonial.html" . }}
{{ partial "blogPost.html" . }}
{{ end }}


In Gradebook, both students and instructors can view current scores.
When you enter Gradebook, depending on what information your instructor has made available, you will see one or both of the following:
Instructors can choose to make available individual gradebook items, as well as cumulative course grades. See Making grades available to students.
When you enter Gradebook, you will see an average course grade for the class and a list of individual gradebook items. You can view cumulative scores using one of the following options.
Note: When viewing grades in tables, you can sort on many of the columns; click the column heading by which you want to sort the table. Subsequently clicking the same column heading will switch the sorting order between ascending and descending. (The Gradebook currently does not use first names for sorting. If you have several students with the same last name, Gradebook will not sort those students properly based on their first names.)
Course Grades
. You will see a list of
your students. For most gradebooks, the points earned, the letter grade,
and a percentage are displayed for each student. (The display may vary based
on your gradebook setup.) The letter grade and percentage are
based on the items that have been completed. To include
items that have not been completed in the course grade calculation,
you must enter a zero (0) for each item.
To view the course grade by section or group, use the "View" drop-down list to select the section or group. You can also use the text box to search for individual students.
By default, 50 students are visible. To display more or fewer
students, in the drop-down list above the table on the right, change
Show 50
to your desired option.
All Grades
. You will see a list of
your students, and a course grade and a point value for each item in
the Gradebook. The course grade is only shown as a percentage in this
view and is based on the items that have been completed. To include
items that have not been completed in the course grade calculation,
you must enter a zero (0) for each item.
To view the roster by section, group, or category, use the "View" drop-down list. You can also use the text box to search for individual students.
By default, 50 students are visible. To display more or fewer
students, in the drop-down list above the table on the right, change
Show 50
to your desired option.


Rangers urges time change in CAF group fixtures
by The Eagle OnlineRangers International FC of Enugu has appealed to the Confederation of African Football for a change of time fixed for the group matches scheduled to kick off on December 1.
The Media Officer of the club, Norbert Okoli, made the appeal in a statement issued on Saturday in Enugu.
Okoli stated that the General Manager of the club, Davidson Owumi, had dispatched a letter of appeal to the African football-ruling body through the Nigeria Football Federation.
He quoted the Owumi as saying: “We understand and appreciate the fact that CAF reserves the right to fix time for matches from the group stage of the club competition.
“But we find it extremely difficult to factor in the 14:00 hours (2 p.m.) time it has picked for us due largely to the humidity of the season.
“Playing our scheduled matches at the time fixed will lead to loss of revenue and punishment for the players who are the main actors on the pitch.”
Owumi was quoted to have also said that spectators “would be sun-baked, if they turn up for the matches, with temperature reaching as high as 40 degree centigrade in an artificial turf”.
Okoli said that for fair play to be seen to be practised, the management had appealed to the relevant body “to positively look into the appeal and revert to the normal 16:00 hours (4 p.m.)
“Fans of the club have come to know 4 p.m. as kickoff time for matches and for the health of the footballers and spectators,’’ he said.
News Agency of Nigeria reports that Rangers will be host to Egyptian side, Pyramid, on Sunday, December 1, in the first game of the CAF Confederations Cup group stage at the Nnamdi Azikiwe Stadium, Enugu.
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View Logo Estabilidad Mmm Png Images. From wikimedia commons, the free media repository. Logo mmm (wa) pty ltd company brand, angle, company png.
Download 1,000 vector icons and icon kits.available in png, ico or icns icons for mac for free use. Download in png and use the icons in websites, powerpoint, word, keynote and all common apps. Select a design to create a logo now!
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The resolution of this file is 500x500px and its file size is: Membuat logo online gratis dengan zyro logo maker. Watch our video tutorial on how to create your logo. Download for free in png, svg, pdf formats.


Hi there, my name is Eric Pierpont. I am a full stack web developer and real estate investor living in Auburn, ME. I attended the University of Maine where I earned my B.A. in New Media. I have been working in the industry since 2006 and have experience working for both private companies and as a contractor. I have a true passion for development which pushes me to learn something new with each and every project.
"Digital design is like painting, except the paint never dries." - Neville Brody


Support the creation of open data for $24B aid projects to fight AIDS, Malaria and Tuberculosis - Open Data saves $ Billions, $ Billions save Millions of Lives.


This demo shows how to display a custom icon in a Custom element Notification. The showcased notification uses the applied theme's styling and not a template.
You have
2
new messages.
Click to view.
Name:
E-mail:
Comment:
Submit comment


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import config.TrackingConsentConfig
@()(implicit request: Request[_], flash: Flash, user: Option[CachedData], feedbackUrl: String, trackingConsentConfig: TrackingConsentConfig, messages: Messages)
@main_template(title = "Privacy and cookies") {
This service puts small files (known as 'cookies') on to your computer. Most websites do this. These cookies are used to:
- help us understand how you use the service, so we can improve it
- remember what notifications you've seen so you're not shown them again
- temporarily store the information you enter (eg informational messages)
The cookies aren't used to identify you personally. They're put on to your computer to make the service work better for you. You can edit or delete the cookies.
Find out how to edit and delete cookies.
Google Analytics cookie
We use Google Analytics to collect information about how you use the service. This information helps us to make improvements.
The Google Analytics cookie collects and stores information about:
- the pages you visit
- how long you spend on each page
- how you got to the service
- what you click on while you're using the service
Google Analytics isn't allowed to use or share our analytics data with anyone, but you can opt out if you wish.
|
Name
|
Purpose
|
Expires
|
|
_ga
|
This helps us identify how you use GOV.UK so we can make the site better
|
2 years
|
|
userConsent
|
Saves a message to let us know that you have seen our cookie message and have responded
|
1 year
|
Session cookies
We store session cookies on your computer to help keep your information secure while you use the service.
| Name |
Purpose |
Expires |
| mdtp |
Stores session data |
When you close your browser |
| mdtpdi |
Creates a unique ID for your device to prevent unauthorised access to the service |
10 years |


Marvel Character Finder
Enter Marvel character name
Search!
Character not found
{{ char.characterData.name }}
Description
{{ char.characterData.description }}
Comics
{{ comic.description }}


No Class CSS Framework
Here is an Awesome link.
Time for some funky typography, Italic, bold, and monospace
.
Itemized lists look like:
- this one
- that one
- the other one
-
First step, prepare stuff..
- Peel potatoes.
- Time to cook!
Code Boxes
define foobar() {
print "Hello World!";
}


org.flexiblepower.efi.util
public class Transition extends java.lang.Object
RunningMode
to another.| Modifier and Type | Class and Description |
|---|---|
static class |
Transition.Builder
This helper class should be used to easily define a
Transition . |
| Constructor and Description |
|---|
Transition(int toRunningMode,
java.util.Set<Timer> startTimers,
java.util.Set<Timer> blockingTimers,
javax.measure.Measurable<javax.measure.quantity.Money> transitionCosts,
javax.measure.Measurable<javax.measure.quantity.Duration> transitionTime) |
| Modifier and Type | Method and Description |
|---|---|
static Transition.Builder |
create(int toRunningMode) |
static Transition.Builder |
create(RunningMode<?> toRunningMode) |
boolean |
equals(java.lang.Object obj) |
java.util.Set<Timer> |
getBlockingTimers() |
java.util.Set<Timer> |
getStartTimers() |
int |
getToRunningMode() |
javax.measure.Measurable<javax.measure.quantity.Money> |
getTransitionCosts() |
javax.measure.Measurable<javax.measure.quantity.Duration> |
getTransitionTime() |
int |
hashCode() |
java.lang.String |
toString() |
public Transition(int toRunningMode, java.util.Set<Timer> startTimers, java.util.Set<Timer> blockingTimers, javax.measure.Measurable<javax.measure.quantity.Money> transitionCosts, javax.measure.Measurable<javax.measure.quantity.Duration> transitionTime)
toRunningMode
- When making this transition this attributes indicates the new RunningMode
startTimers
- This is a set of zero or more Timer objects. All these timers have to be started when this transition
is made. E.g. when an actuator is being switched on, the “on” timer has to start to make sure that the
actuator will adhere to the correct minimum “on” time before switching off again.blockingTimers
- This is a set of zero or more Timer objects. All these timers have to be finished before the
transition can be made (this transition is blocked by the timers).transitionCosts
- It could be that the transition itself will cause wear to the actuator. The deprecation costs
associated with this transition may be expressed by this attribute.transitionTime
- In some cases a transition will not happen instantly. This attribute specifies the period of time
needed for going from one RunningMode to another (e.g. ramping up or down). It is important to note
that all timers are started at the beginning of the transition and not at its completion.public static Transition.Builder create(int toRunningMode)
toRunningMode
- Identifier the target of this Transition
Transition.Builder
object that can be used to easily create the Transition
public static Transition.Builder create(RunningMode<?> toRunningMode)
toRunningMode
- The target of this Transition
Transition.Builder
object that can be used to easily create the Transition
public int getToRunningMode()
RunningMode
public java.util.Set<Timer> getStartTimers()
public java.util.Set<Timer> getBlockingTimers()
public javax.measure.Measurable<javax.measure.quantity.Money> getTransitionCosts()
public javax.measure.Measurable<javax.measure.quantity.Duration> getTransitionTime()
public int hashCode()
hashCode
in class java.lang.Object
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
public java.lang.String toString()
toString
in class java.lang.Object


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Before Change
//: store the point formatted to use the scipy"s cdist
origin = np.array([point])
coords = self.extract_sf("x","y","z", element=element)
//:get the coordiantes of the point as str in order to name the SF
name = ",".join(str(e) for e in point)
After Change
//: store the point formatted to use the scipy"s cdist
origin = np.array([point])
coords = cloud[["x","y","z",]]
//:get the coordiantes of the point as str in order to name the SF
name = ",".join(str(e) for e in point)


 # On Forward Sufficient Dimension Reduction for Categorical and Ordinal Responses
 Harris Quach (joint work with Dr. Bing Li)
 Date: "2022/08/07 (updated: 2022-08-07)" --- class: inverse, middle  # .bg-text.center[Overview of paper] .md-text[ 1. We show ordinal variables are linear exponential families 2. We generalize a popular SDR method to linear exponential families 3. We proposed a K-means tuning procedure ] --- class: left, top # Context - Suppose `\(Y| X \sim GLM(\theta(X))\)` and predictors `\(X \in \R^p\)` are continuous. - So Y depends on X solely through a smooth function `\(\theta(\cdot)\)`. - Assume a Sufficient Dimension Reduction exists: There exists a linear map `\(\beta \in \R^{p \times d}\)`, `\(d < p\)`, such that `\begin{align*} Y \indep \theta(X) | \beta^{\top} X \end{align*}` ## Goal: Estimate the subspace spanned by `\(\beta\)` - i.e. construct lower-dimensional summaries of `\(X \in \R^p\)` that are informative for `\(Y\)`, where `\(Y\)` is Categorical or Ordinal. --- class: left, top # Motivating Example: Suppose `\(X = (X_1, X_2) \in [0,1]^2\)` with some restricted support and `\(\theta(X) = X_1^2\)`. Then `\(\theta(X) = (\beta^\top X)^2\)`, where `\(\beta = (1,0) \in \R^2\)`. - we want to recover `\(span(\beta) = \{ (c,0): c \in \R\}\)`; .center[  ] --- class: left, top  # 1. Outer Product of Canonical Gradients (OPCG) ## Generalizes the Outer Product of Gradients (OPG) (Xia, Tong, Li, and Zhu, 2002) .center[  ] --- count: false class: left, top  # 1. Outer Product of Canonical Gradients (OPCG) ## Generalizes the Outer Product of Gradients (OPG) (Xia, Tong, Li, et al., 2002) .center[  ] --- count: false class: left, top  # 1. Outer Product of Canonical Gradients (OPCG) ## Generalizes the Outer Product of Gradients (OPG) (Xia, Tong, Li, et al., 2002) .center[  ] -- - Fitting a local linear GLM to estimate the gradients at each point. --- count: false class: left, top  # 1. Outer Product of Canonical Gradients (OPCG) ## Generalizes the Outer Product of Gradients (OPG) (Xia, Tong, Li, et al., 2002) .center[  ] -- - Use a eigen decomposition to get direction most variation. --- count: false class: left, top  # 1. Outer Product of Canonical Gradients (OPCG) ## Generalizes the Outer Product of Gradients (OPG) (Xia, Tong, Li, et al., 2002) .center[  ] - Effectively a PCA on the estimated gradients; **Estimated directions form the OPCG Estimator, `\(\hat \beta_{\mathrm{opcg}} \in \R^{p \times d}\)`.** --- class: left, top # Outer Product of Canonical Gradients (OPCG) Given a random sample `\(Y_{1:n}\)`, `\(X_{1:n}\)`, fit a local linear GLM about each `\(X_j\)`, for `\(j=1,...,n\)`, by minimizing the full negative local linear log-likelihood: `\begin{align*} & L(a_1,..,a_n, B_1,...,B_n; X_{1:n}, Y_{1:n}) \\ = & -\frac {1}{n} \sum_{j,i=1}^n K \bigg ( \frac{X_i - X_j}{h} \bigg )\\ & \times \{[a_{j} + B_{j}^\top (X_i - X_j)]^\top Y_i - b(a_{j} + B_{j}^\top (X_i - X_j)) \} , \end{align*}` where `\(b(\cdot)\)` determines the local GLM, and `\(K(\cdot)\)` is a kernel weight with bandwidth `\(h\)`. -- This provides minimizers `\(\hat B_j\)` that estimate `\(\partial \theta(X_j)/\partial x^\top\)`, which we use to construct the average outer product `$$\hat \Lambda_n = \frac 1n \sum_{j=1}^n \hat B_j \hat B_j^\top.$$` --- class: left, top # The OPCG Estimator The **Outer Product of Canonical Gradients (OPCG) Estimator** for `\(\beta\)`, `\(\hat \beta_{opcg}\)`, is the first `\(d\)` eigenvectors of `$$\hat \Lambda_n = \frac 1n \sum_{j=1}^n \hat B_j \hat B_j^\top,$$` corresponding to the `\(d\)` largest eigenvalues. .center[   ] --- class: left, top # Under some regularity conditions:
 Let \begin{align*} \Lambda_{\mathrm{opcg}} = E \bigg \{ \frac{\partial \theta(X)^\top}{\partial x} \frac{\partial \theta(X)}{\partial x^\top} \bigg \}, \end{align*} and \(\eta\) be the leading \(d\) eigenvectors of \(\Lambda_{\mathrm{opcg}}\). Under SDR and a convexity assumption, \(\mathrm{span}(\eta ) = \SS_{E(Y|X)} \).

 Under some regularity assumptions, as \( n \to \infty\), we have \begin{align*} \| \hat \beta_{opcg} - \eta \|_F = O_{a.s} ( h + h^{-1} \delta_{ph} + \delta_{n} ) , \end{align*} where \(\delta_{ph} = \sqrt{ \frac{\log n}{ nh^p} }\), \(\delta_{n} = \sqrt{ \frac{\log n}{ n } }\), \( h \downarrow 0\), and \( h^{-1}\delta_{ph} \to 0\).
 - Ladle and Predictor Augmentation methods are fast, eigen-based methods that can be applied to estimate `\(d\)`. (Luo and Li, 2020; Luo and Li, 2016) - **For the bandwidth `\(h\)`, we propose a K-means approach for tuning that selects `\(h\)` by minimizing an F-ratio.** - Cross Validation or Optimal bandwidths can be used as well. --- class: left, top # K-means Tuning `\(h\)` for Classification. In the local estimation step, we need to select the bandwidth `\(h\)`. .center[  ] --- class: left, top # K-means Tuning `\(h\)` for Classification. Split your training sample into two sets. Denote the second set by `\((X^{\mathbb{V}}, Y^{\mathbb{V}})_{1:n_2}\)`. For each `\(h\)`, Essential Idea: 1. Estimate `\(\hat \beta_{\mathrm{opcg}}\)` on `\((Y, X)_{1:n_1}\)` and construct `\(\hat \beta_{\mathrm{opcg}}^\top X_{1:n_2}^{\mathbb{V}}\)` 2. Apply K-means to sufficient predictors `\(\hat \beta_{\mathrm{opcg}}^\top X_{1:n_2}^{\mathbb{V}}\)` for `\(m\)` clusters. - `\(m\)` is the number of categories for `\(Y\)`. - This returns `\(m\)` estimated clusters and an F-ratio, for each `\(h\)`. 3. Select `\(h\)` that minimizes the F-ratio from K-means. **Some modifications are made to this idea to address some practical and tuning issues, but the idea remains the same.** --- count: false class: inverse, center, middle # .bg-text[Simulations and Data Analyses] --- class: left, top # Simulations Let `\(Y \in \{1,2,3\}\)` be categorical and `\(X \in \R^{10}\)`. We have `\((X^3, X^7) \sim N_2(\mu_j, 0.5 I_2)\)` for `\(j=1,2,\ldots,5\)`, and the rest are `\(N(0,0.5)\)`. - the 5 clusters are labeled 1, 2, or 3. - `\(Y\)` is the label of the cluster `\((X^3, X^7)\)` belongs, so `\(Y\)` depends on only `\(\beta^{\top}X = (X^3, X^7)\)`. We have a training sample of 300: - Use half for `\(\hat \beta_{\mathrm{opcg}}\)` and half for `\(\hat \beta_{\mathrm{opcg}}^\top X_{1:150}^{\mathbb{V}}\)` - Assume we know `\(d=2\)` for `\(\hat \beta_{\mathrm{opcg}} \in \R^{ 10 \times 2}\)`; --- class: ani-slide # K-mean Tuning for `\(h\)`  --- count: false class: left, top # Simulations - tuning and estimation Conventional suggestion: `\(h = 2.34 n^{-1/(p+6)} \approx 1.66\)`; K-fold K-means Tuning: `\(h \approx 1.25\)`;
 Using `\(h \approx 1.25\)` to estimate OPCG `\(\hat \beta_{opcg}\)`:  --- class: left, top # Categorical Data Analysis We analyze three datasets with categorical responses: - Handwritten Digits (Pendigit) from UCI - p=16; train/test=1333/667; resp=0-9 - USPS Handwritten Digits - p=256; train/test=1338/669; resp=0-9 - ISOLET from UCI - p=618; train/test=6334/1553; resp=a-z --- class: left, top # Categorical Classification Error using SVM .center[  ] --- class: left, top # Ordinal-Categorical Data Analysis ## Red Wine Quality We analyze the wine quality rating data set from the UCI repository: - Ordinal response - Wine Quality Score, `\(Y \in \{3,4,5\}\)`; `\(p=11\)`, characteristics of the wine; `\(n_{train}\)` / `\(n_{test}\)`: 1000/599; Plots of `\(\hat \beta^{\top} X_{\mathrm{test}}\)`:  --- class: left, top, inverse # .bg-text[Conclusion] 1. Generalized OPG to linear exponential families via OPCG 2. Demonstrated a K-means tuning procedure for classification 3. Demonstrated the effectiveness of OPCG in categorical classification problems. --- layout: false # References ``` ## Warning in `[[.BibEntry`(x, ind): subscript out of bounds ``` Luo, W. and B. Li (2016). "Combining eigenvalues and variation of eigenvectors for order determination". In: _Biometrika_ 103.4, pp. 875-887. Luo, W. and B. Li (2020). "On order determination by predictor augmentation". In: _Biometrika_. Xia, Y., H. Tong, W. Li, et al. (2002). "An adaptive estimation of dimension reduction space". In: _Journal of the Royal Statistical Society: Series B (Statistical Methodology)_ 64.3, pp. 363-410.     <!-- PrintBibliography(bib_sdr, start=7, end=12) --> <!-- ``` -->     <!-- PrintBibliography(bib_sdr, start=13) --> <!-- ``` -->


I am a Data Analyst with masters in Information Systems from UMBC. Along with research and time management skills, my academic coursework gained me experience with Python and Big Data technologies. My work experience at Accenture includes ETL and functional testing.
Currently, I am volunteering with Haiti Now as Data Analyst. I am working on validating data and creating data visualizations in Tableau. That experience has raised my interest in the field of UX. I see myself perform better and more interested in design/UX.
Objective: Create a CodePen.io app which fullfill the below user stories
Objective: Create a The Local Weather app on Codepen.io using libraries or APIs which fulfills below user stories
Brief: Grinding and brewing coffee makes for the freshest, tastiest brews, yet it’s sometimes difficult to know the exact amount of coffee to use for a pourover, or the precise grind you need to for a french press.
Propose a design for someone who is new to grinding and brewing their own coffee, allowing them to find their coffee, pick the intended brewing method, and walking them through the process (although this doesn’t need to be detailed in the challenge).
Research Process:
Competitive Analysis -
There are very few mobile applications that help new user to make coffee on their own from scratch. I looked at some of the applications such as SlowBar and coffee.guru. The common feature I found in these apps that they suggest the step by step method with timers for different brew types. Some of the apps do not allow a user to select the number of cups of coffee, weight conversion, roast level and grind level of coffee beans. Also, I found that none of these apps gives information about the particular coffee beans and their taste notes for intended brew type.
Brainstorm -
To find the best solution to the problem I used the brainstorming method by gathering friends. I asked them questions such as
Conceptual Model -
Based upon the answers in the Brainstorming session, I created a conceptual model for the best solution. I used Flow Chart diagram to show the possible navigation of the application.
Design Process:
Low-Fidelity Sketches -
After my research, I worked on low fidelity sketches. I finalized sketches to design the app after feedback from friends and few iterations.
Mid-Fidelity Wireframes -
Brief: This exercise is to design an application that helps people take care of their plants at a basic level. This app should consider multiple kinds of plants requirements, notifications, and other tips around plant care.
Please propose a design for adding one or more plants to the application, a notification, and a simple guide to caring for the plant.
Research Process:
There are no iOS apps for plant care. To gather more information and to find the best solution to the problem I used the brainstorming method. I asked some questions such as below to friends:
After discussing with my friends, I used iterative method to finalize sketches.
Design Process:
Low-Fidelity Sketches -


The amount of heat that the Earth receives from the sun is the main reason for different parts of the Earth having different temperatures.
The hottest and coldest temperatures on Earth are not experienced during the summer and winter solstices, but a month afterwards, in January and July. This is why temperatures for January and July are mapped to show seasonal temperature changes.


BackupWith the Backup command, you can make a backup copy of your database and view a history of the copies that have been made previously. If you are using SQL Server as your database, there are better backup tools there. Remember that this backup only creates a copy of the database and stores it on the same hard drive as the original database. In order to restore the copied database in the event of a disk crash, you should always copy the copy to a 'safe' place. |
|
Read more in Editor's Manual - Read more in Administratorís Manual |


Html is the most widely used language on Web to develop web pages. Currently we are having HTML-5 version.
CSS is a language that describes the style of an HTML document. CSS is used to define styles for your web pages, including the design, layout and variations in display for different devices and screen sizes.


I have just finished my 3rd year within my 5 year program of computer science. I am majoring in software engineering. However, outside of school I have many intrests. From travelling to volunteering, to hitting the slopes whenever I can. I hope this page show alittle about the work I have done and who I am as a person.
Yukon College
Italy
Vitamin D Research
University Publishers
Scared Heart School
Robots
Web Design
Film Work
White Rock Ambassadors
Red Cross
I spent 5 months in the village of Akim Achiase, at the school called sacred heart. There with one other volunteer we helped with classes, creating curriculum that incorporated there learning techniques with our experience of modern science and maths to help them achieve their academic goals. Latitudes Website
I spent 5 months in the village of Akim Achiase, at the school called sacred heart. There with one other volunteer we helped with classes, creating curriculum that incorporated there learning techniques with our experience of modern science and maths to help them achieve their academic goals. Latitudes Website
I spent 5 months in the village of Akim Achiase, at the school called sacred heart. There with one other volunteer we helped with classes, creating curriculum that incorporated there learning techniques with our experience of modern science and maths to help them achieve their academic goals. Latitudes Website


Psychologist and Mediator
As a psychologist with more than 30 years experience, I see couples, families and individuals. I begin by getting to know you and the challenges or difficulties you now face. Together we work to discover how to mobilize your strengths to work through ways of thinking, feeling, and behaving that are no longer working for you. I attend to the relational, social and cultural influences that provide the context for what you may be experiencing. Together we work to discover new ways of being that allow you to accomplish your goals for yourself and your relationships. Direct and interactive, my therapeutic approach incorporates training in different treatment modalities–including relational, systemic, and narrative approaches– individually tailored to fit the nature of your situation and your goals.
More...As a mediator for more than 20 years, I work with people who would like to resolve their conflicts collaboratively and avoid litigation or other more formal, protracted, expensive and risky paths to resolution.That does not mean that people typically enter the mediation process with a shared agenda, nor do they necessarily “get along.” Nonetheless, a commitment to conflict resolution that enables the parties to craft their own settlement, rather than having it imposed upon them, can not only produce an equitable, mutually agreeable result. It can also lay the groundwork for cooperative future interaction.
More...


LinkParameters
LinkParameters is a tool that allows Inventor users to easily create dependencies between parameters of the various parts and sub-assemblies in the context of the top-level assembly they reside.
Getting Started
To launch the plug-in, use the following command(s)
Link Parameters
When you run the LinkParameters command a new modeless form should be displayed, allowing you to select source and target components, then creating links between parameters from the source to the target component.
Usage
When you run the LinkParameters command a new modeless form should be displayed, allowing you to select source and target components, then creating links between parameters from the source to the target component.
First of all you will need to specify the name of the iLogic rule which will be created in the background. This first dialog also provides you the ability to select an existing rule if any. In that case the new iLogic code will be appended to the existing rule’s code.
Validating this dialog will display the main dialog of the tool. Using the controls on that dialog, you will be able to select source and target components. Notice that the top-level assembly can also be used as source by checking the upper-left check-box.
The mapping between source and target parameters is done by drag-n-dropping the parameters from source to target list view. By right-clicking the target mappings, they can also be suppressed through a context menu. An option to automatically map source and target parameters with the same name is also provided from this context menu.
Further controls available on that dialog are the parameters filter, that allow you to filter parameters that are displayed through the list views and the rule creation options dialog.
Screenshots
The LinkParameters command is in the slideout menu of the iLogic panel.
Specifying the iLogic rule name.
Mapping parameters between source and target using drag and drop.
Filtering parameters inthe view list.
Specifying rule behaviour.
Example of the iLogic code generated by the LinkParameters plug-in
Installation and Uninstallation
You can unload the plugin without installing it by unchecking the
"Load" checkbox associated with the plugin in the Inventor Add-In Manager.
Unchecking "Load on Startup" cause the plugin not to be loaded in future sessions of Inventor.
To remove the plugin completely, uninstall the application via your system's Control Panel.
Additional Information
The source code for this app has been provided as a Visual Studio 2008 project containing C# code (not required to run the plugin).
(C) Copyright 2010 by Autodesk, Inc.
Permission to use, copy, modify, and distribute this software in
object code form for any purpose and without fee is hereby granted,
provided that the above copyright notice appears in all copies and
that both that copyright notice and the limited warranty and restricted
rights notice below appear in all supporting documentation.

AUTODESK SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTY OF MERCHANTABILITY OR
FITNESS FOR A PARTICULAR USE. AUTODESK, INC. DOES NOT WARRANT THAT THE
OPERATION OF THE PROGRAM WILL BE UNINTERRUPTED OR ERROR FREE.
Known Issues
This plugin was written by Jan Liska, and updated by Philippe Leefsma.
Jan works for Autodesk's Consulting group.
Philippe is a Developer Consultant at Autodesk, working as part of the Autodesk Developer Network program.
Support Information
Email us at
<EMAIL_ADDRESS>with feedback or requests for
enhancements.
Version History


--- layout: page title: About header-img: "img/about-bg.png" ---
I'm a self-taught graphic designer transitioning into a full-stack web developer. I heart typography, hand lettering, and learning new things.


--- layout: post title: photoshop graffiti date: '2009-01-13T12:26:51+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/70181930/photoshop-graffiti ---
Photoshop graffiti


Snake Eyes A film review by Marty Mapes Copyright 1998 Marty Mapes
**1/2 (out of 4) The opening shot of Snake Eyes is great. It lasts for about ten minutes, uninterrupted. Its geographic range is increased by the careful use of video monitors receiving signals from elsewhere.
The technical skill required to pull off the long shot at the beginning is formidable. Such a carefully planned and executed shot leads one to expect the same from the script. At first the script IS tight and twisty, but its resolution is a mediocre anticlimax.
Rick Santoro (Nicolas Cage) is a crooked Atlantic City cop, "covering security" at one of the biggest boxing events of the year. In the big introductory shot, he freely takes money in exchange for favors and schmoozes with the powerful, rich, and sleazy elements of the city.
The only unusual thing about security at this match is that the Secretary of Defense is attending. Escorting the Secretary is Kevin Dunne (Gary Sinise), an old friend of Nick's. The fight moves on, and at the knockout punch, a shot is heard. The Secretary has been hit. Another shot rings out, a woman in a wig is hit as Nick throws her to the ground.
 He failed in his assignment to protect the Secretary and is worried for his job and his family. Nick suggests they get their stories straight before any investigators show up.
Eventually Nick and Dunne split apart to investigate the crime, starting with the mystery woman. Given enough time alone, Nick starts to piece together the mystery.
The setup and investigation are interesting and well-told. De Palma uses flashbacks to tell the same story from different points of view. With each flashback, another piece of the story falls into place. This part of the film is very good.
Then it becomes clear what happened, or at least who is responsible. At this point, the movie stops being so interesting.  The resolution of the film is anticlimactic, a ho-hum mix of guns and lucky timing.
The film fails in other areas too.
In order to allow for De Palma's elaborate camera movement, there needs to be lots of light, which means it can't be controlled as tightly. As the movie's tone darkens, the lighting seems to get brighter and more even. In JACKIE BROWN, the bright lights and solid colors seemed to be an ironic twist, but in this movie, it seems like a cost-cutting compromise.
Also, Sinise was the wrong choice for Commander Dunne. He never really filled his uniform with the qualities demanded by the role. Granted, it was a hard role to fill, with lots of acting-within-acting going on. But Sinise just never had me convinced of anything. Cage, on the other hand, was very good. He's a crooked cop, taking money wherever he can find it. As long as he's getting his share, his morality threshold is low. The perfect example of his idea of ethics is brought out when a whistleblower comes forward and asks for his protection. This cop's first reaction is not to help her, but to verbally abuse her for breaking her boss' trust, for violating the code of the good-ol'-boy network, for expecting the world to play by the rules. But there is a glimmer of morality left in him and by the end, his faith in the network is really put to the test (in one of the movie's more clever developments).
Two minor characters turned in great performances too. In the ring, the boxer had such a look of humility and fear that one couldn't help but feel sorry for him, even as he beat his opponent senseless. And Carla Gugino, a relative newcomer, held her own on the screen with Cage and Sinise.
De Palma's last film was MISSION IMPOSSIBLE, a great movie, well-written and tightly executed. SNAKE EYES has similar aspirations, but it doesn't come close.
Check out more current movie reviews at http://www.indra.com/~mmapes/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Broadcast / Scatter / Gather / Alltoall / Reduce. More...
Functions | |
| void | MEL::Bcast (void *ptr, const int num, const Datatype &datatype, const int root, const Comm &comm) |
| Broadcast an array to all processes in comm, where all processes know how many elements to expect. More... | |
| void | MEL::Scatter (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int rnum, const Datatype &rdatatype, const int root, const Comm &comm) |
| Scatter an array to all processes in comm, where all processes know how many elements to expect. More... | |
| void | MEL::Scatterv (void *sptr, const int *snum, const int *displs, const Datatype &sdatatype, void *rptr, const int rnum, const Datatype &rdatatype, const int root, const Comm &comm) |
| Scatter an array to all processes in comm, where all processes have an independent number of elements to expect. More... | |
| void | MEL::Gather (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int rnum, const Datatype &rdatatype, const int root, const Comm &comm) |
| Gather an array from all processes in comm. More... | |
| void | MEL::Gatherv (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int *rnum, const int *displs, const Datatype &rdatatype, const int root, const Comm &comm) |
| Gather an array from all processes in comm, where all processes have an independent number of elements to send. More... | |
| void | MEL::Allgather (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int rnum, const Datatype &rdatatype, const Comm &comm) |
| Gather an array from all processes in comm and distribute it to all processes. More... | |
| void | MEL::Allgatherv (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int *rnum, const int *displ, const Datatype &rdatatype, const Comm &comm) |
| Gather an array from all processes in comm and distribute it to all processes, where all processes have an independent number of elements to send. More... | |
| void | MEL::Alltoall (void *sptr, const int snum, const Datatype &sdatatype, void *rptr, const int rnum, const Datatype &rdatatype, const Comm &comm) |
| Broadcast from all processes to all processes. More... | |
| void | MEL::Alltoallv (void *sptr, const int *snum, const int *sdispl, const Datatype &sdatatype, void *rptr, const int *rnum, const int *rdispl, const Datatype &rdatatype, const Comm &comm) |
| Broadcast from all processes to all processes with independent number of elements for each process. More... | |
| void | MEL::Alltoallw (void *sptr, const int *snum, const int *sdispl, const Datatype *sdatatype, void *rptr, const int *rnum, const int *rdispl, const Datatype *rdatatype, const Comm &comm) |
| Broadcast from all processes to all processes with independent derived datatypes and number of elements for each process. More... | |
| void | MEL::Reduce (void *sptr, void *rptr, const int num, const Datatype &datatype, const Op &op, const int root, const Comm &comm) |
| Reduce an array of known length across all processes in comm using the given operation. More... | |
| void | MEL::Allreduce (void *sptr, void *rptr, const int num, const Datatype &datatype, const Op &op, const Comm &comm) |
| Reduce an array of known length across all processes in comm using the given operation, and distribute the result to all processes. More... | |
| template<typename T > | |
| void | MEL::Bcast (T *ptr, const int num, const int root, const Comm &comm) |
| Broadcast an array to all processes in comm, where all processes know how many elements to expect. More... | |
Detailed Description
Broadcast / Scatter / Gather / Alltoall / Reduce.
Function Documentation
|
inline |
Broadcast an array to all processes in comm, where all processes know how many elements to expect.
- Parameters
-
[in,out] ptr Pointer to the memory receive into [in] num The number of elements to broadcast [in] datatype The derived datatype of the elements to broadcast [in] root The rank of the process to send from [in] comm The comm world to broadcast within
|
inline |
Scatter an array to all processes in comm, where all processes know how many elements to expect.
- Parameters
-
[in] sptr Pointer to the memory to scatter, significant only on root [in] snum The number of elements to scatter, significant only on root [in] sdatatype The derived datatype of the elements to send, significant only on root [out] rptr Pointer to the memory to receive into [in] rnum The number of elements to receive [in] rdatatype The derived datatype of the elements to receive [in] root The rank of the process to send from [in] comm The comm world to scatter within
|
inline |
Scatter an array to all processes in comm, where all processes have an independent number of elements to expect.
- Parameters
-
[in] sptr Pointer to the memory to scatter, significant only on root [in] snum Pointer to an array of number of elements to send to each process, significant only on root [in] displs Pointer to an array of the element displacements of where each processes data is to be sent, significant only on root [in] sdatatype The derived datatype of the elements to send, significant only on root [out] rptr Pointer to the memory to receive into [in] rnum The number of elements to receive [in] rdatatype The derived datatype of the elements to receive [in] root The rank of the process to send from [in] comm The comm world to scatter within
|
inline |
Gather an array from all processes in comm.
- Parameters
-
[in] sptr Pointer to the memory to gather [in] snum The number of elements to gather [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to the memory to receive into, significant only on root [in] rnum The number of elements to receive, significant only on root [in] rdatatype The derived datatype of the elements to receive, significant only on root [in] root The rank of the process to send to [in] comm The comm world to gather within
|
inline |
Gather an array from all processes in comm, where all processes have an independent number of elements to send.
- Parameters
-
[in] sptr Pointer to the memory to gather [in] snum The number of elements to gather [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to the memory to receive into, significant only on root [in] rnum Pointer to an array of the number of elements to receive from each process, significant only on root [in] displs Pointer to an array of the displacements of elements to be received from each process, significant only on root [in] rdatatype The derived datatype of the elements to receive, significant only on root [in] root The rank of the process to send to [in] comm The comm world to gather within
|
inline |
Gather an array from all processes in comm and distribute it to all processes.
- Parameters
-
[in] sptr Pointer to the memory to gather [in] snum The number of elements to gather [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to the memory to receive into [in] rnum The number of elements to receive [in] rdatatype The derived datatype of the elements to receive [in] comm The comm world to gather within
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Gather an array from all processes in comm and distribute it to all processes, where all processes have an independent number of elements to send.
- Parameters
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[in] sptr Pointer to the memory to gather [in] snum The number of elements to gather [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to the memory to receive into [in] rnum Pointer to an array of the number of elements to receive from each process [in] displ Pointer to an array of the element displacements of where each processes data is to be received [in] rdatatype The derived datatype of the elements to receive [in] comm The comm world to gather within
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Broadcast from all processes to all processes.
- Parameters
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[in] sptr Pointer to snum elements to send [in] snum The number of elements to send [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to rnum * commsize elements to receive [in] rnum The number of elements to receive from each process in comm [in] rdatatype The derived datatype of the elements to receive [in] comm The comm world to broadcast within
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Broadcast from all processes to all processes with independent number of elements for each process.
- Parameters
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[in] sptr Pointer to snum elements to send [in] snum Pointer to an array of the number of elements to send from each process [in] sdispl Pointer to an array of element displacements of where each processes data is to be sent from [in] sdatatype The derived datatype of the elements to send [out] rptr Pointer to the receive buffer [in] rnum Pointer to an array of the number of elements to receive from each process [in] rdispl Pointer to an array of element displacements of where each processes data is to be recieved to [in] rdatatype The derived datatype of the elements to receive [in] comm The comm world to broadcast within
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inline |
Broadcast from all processes to all processes with independent derived datatypes and number of elements for each process.
- Parameters
-
[in] sptr Pointer to snum elements to send [in] snum Pointer to an array of the number of elements to send from each process [in] sdispl Pointer to an array of element displacements of where each processes data is to be sent from [in] sdatatype Pointer to an array of the derived datatypes of the elements to send for each process [out] rptr Pointer to the receive buffer [in] rnum Pointer to an array of the number of elements to receive from each process [in] rdispl Pointer to an array of element displacements of where each processes data is to be recieved to [in] rdatatype Pointer to an array of the derived datatypes of the elements to receive for each process [in] comm The comm world to broadcast within
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Reduce an array of known length across all processes in comm using the given operation.
- Parameters
-
[in] sptr Pointer to num elements to send [out] rptr Pointer to the receive buffer, significant only on root [in] num The number of elements in the array [in] datatype The derived datatype of the elements to reduce [in] op The operation to perform for the reduction [in] root The process to receive the result [in] comm The comm world to reduce within
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inline |
Reduce an array of known length across all processes in comm using the given operation, and distribute the result to all processes.
- Parameters
-
[in] sptr Pointer to num elements to send [out] rptr Pointer to the receive buffer [in] num The number of elements in the array [in] datatype The derived datatype of the elements to reduce [in] op The operation to perform for the reduction [in] comm The comm world to reduce within
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inline |
Broadcast an array to all processes in comm, where all processes know how many elements to expect.
- Parameters
-
[in,out] ptr Pointer to the memory receive into [in] num The number of elements to broadcast [in] root The rank of the process to send from [in] comm The comm world to broadcast within


WARNING: The alignment needs to be precise. It takes about 1 minute per image and please do NOT RUSH.
Systematic bad results will be rejected. But, if you pay attention, the answers should generally be correct.
The goal is to align the groundplane (cyan grid) so that it is parallel to all lines parallel to the wall!
(1) Parallel line alignment
The goal for this step is to align each pair of lines to the parallel lines. Move around two pairs of dotted lines (green and red). You can move the lines by dragging the circles on each line.
Green-green lines should be parallel to each other in 3D space.
Red-red lines should be parallel to each other in 3D space.
It is NOT about aligning to any random straight line.
It is about aligning to lines that are parallel in 3D space.
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(2) Corner alignment
After step (1) above, move the blue circle to the corner made by the floor and the walls. This will move the groundplane so that it is in the same position as the floor. It is very important that the groundplane be positioned as similar to the floor as possible.(3) Refinement
If you notice any error in the ground plane, you can move around the dotted lines (typically small size of pixels) to adjust it until it is correct.
The final goal is not about aligning green/red lines.
The goal is to align the groundplane (cyan grid) so that it is parallel to all lines parallel to the wall!
Final Result
Done!
Below are examples of pictures with bad and good alignments.
The red ovals show places to pay attention to to determine if the alignment is off.
Generally, you need to adjust green/red dots to correct the alignments.
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(1) The groundplane is not aligned well with the edges of the floor. |
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(2) Girdlines are not parallel with the lines of the bed (that are parallel in 3D to the wall). |
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(3) The groundplane is not aligned well with the edges of the floor, and the gridlines are not parallel with edges of furniture. |
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We calculated the radiative forcing due to atmospheric perturbations in CH 4 and CO 2 concentration for CLM and AThaw permafrost-soil-carbon flux trajectories following Frolking & Roulet 87 (Supplementary Methods). Methodology underlying our remote-sensing based quantification of abrupt thaw in Alaska and field-based estimates of carbon emissions from abruptly-formed thermokarst areas of lakes in Alaska and Siberia are also provided in Supplementary Methods. Field and lab measurements include bubble-trap observations of ebullition fluxes, aerial and ground-based ebullition seep-mapping, and quantification of CH 4 and CO 2 concentrations and radiocarbon dating.


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1. Morbidity - how dark or offensive a joke is.
2. Accessibility - how people understand it.
3. Congruity - the enjoyment derived from humorous material stems from the sudden shift in perspective at the moment of “getting” a joke.
4. absurdity - illogical material.
5. Urbanity - address more culturally-significant topics and will require more worldly knowledge. Many will also make use of wordplay in delivering their punchlines.
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Deafheaven - Dream House
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Delta Sleep - Assemble
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