Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library:ACM Transactions on Graphics (TOG) Volume 29 , Issue 5 (December 2010) Proceedings of ACM SIGGRAPH Asia 2010
ACM Digital Library (DOI) Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Curves, Characters & Crowds
- Morphable Crowds
-
Eunjung Ju,
Myung Geol Choi,
Minji Park,
Jehee Lee
(Seoul National University),
Kang Hoon Lee
(Kwangwoon University),
Shigeo Takahashi
(The University of Tokyo)
- Motion Fields for Interactive Character Animation
-
Yongjoon Lee
(University of Washington and Bungie, LLC),
Kevin Wampler,
Gilbert Bernstein
(University of Washington),
Jovan Popović
(Adobe Systems and University of Washington),
Zoran Popović
(University of Washington)
- Stable Inverse Dynamic Curves
-
Alexandre Derouet-Jourdan,
Florence Bertails-Descoubes,
Joelle Thollot
(INRIA/LJK, Grenoble University, France)
- Video-based Reconstruction of Animatable Human Characters
(
)
(
)
-
Carsten Stoll
(MPI Informatik),
Edilson de Aguiar
(Disney Research Pittsburgh),
Juergen Gall
(ETH Zuerich),
Sebastian Thrun
(Stanford University),
Christian Theobalt
(MPI Informatik)
Imaging Hardware
- Circularly Polarized Spherical Illumination Reflectometry
-
Abhijeet Ghosh,
Tongbo Chen,
Pieter Peers,
Cyrus A. Wilson,
Paul Debevec
(USC Institute for Creative Technologies)
- Content-Adaptive Parallax Barriers: Optimizing Dual-Layer 3D Displays Using Low-Rank Light Field Factorization
()
(
)
-
Douglas Lanman,
Matthew Hirsch,
Yun Hee Kim,
Ramesh Raskar
(MIT Media Lab)
- Light Reallocation for High Contrast Projection Using an Analog Micromirror Array
-
Reynald Hoskinson,
Boris Stoeber,
Wolfgang Heidrich,
Sidney Fels,
(The University of British Columbia)
- Optical Computing for Fast Light Transport Analysis
()
(
)
-
Matthew O'Toole,
Kiriakos Kutulakos
(University of Toronto)
Rendering
- A Practical Appearance Model for Dynamic Facial Color
-
Jorge Jimenez
(Universidad de Zaragoza),
Timothy Scully
(University College London),
Nuno Barbosa, Craig Donner, Xenxo Alvarez, Teresa Vieira, Paul Matts, Veronica Orvalho,
Diego Gutierrez
(Universidad de Zaragoza),
Tim Weyrich
(University College London)
- A Progressive Error Estimation Framework for Photon Density Estimation
-
Toshiya Hachisuka
(University of California, San Diego),
Wojciech Jarosz
(Disney Research Zurich),
Henrik Jensen
(University of California, San Diego)
- Combining Global and Local Lights for High-Rank Illumination Effects
-
Tomas Davidovic
(Universitat des Saarlandes and Deutsche Forschungszentrum fur Kunstliche Intelligenz GmbH),
Jaroslav Krivanek
(Cornell University),
Milos Hasan
(Harvard University),
Philipp Slusallek
(Universitat des Saarlandes and Deutsche Forschungszentrum fur Kunstliche Intelligenz GmbH),
Kavita Bala
(Cornell University)
- Consistent Normal Interpolation
-
Alexander Reshetov,
Alexei Soupikov,
William R. Mark
(Intel)
Image & Video Editing
- Data-Driven Image Color Theme Enhancement
-
Baoyuan Wang
(Zhejiang University),
Yizhou Yu
(University of Illinois at Urbana-Champaign and Zhejiang University),
Tien-Tsin Wong
(The Chinese University of Hong Kong),
Chun Chen
(Zhejiang University),
Ying-Qing Xu
(Microsoft Research Asia)
- Diffusion Maps for Edge-Aware Image Editing
-
Zeev Farbman,
Dani Lischinski,
Raanan Fattal
(The Hebrew University)
- Metric-aware processing of spherical imagery
-
Misha Kazhdan
(Johns Hopkins University),
Hugues Hoppe
(Microsoft Research)
- MovieReshape: Tracking and Reshaping of Humans in Videos
-
Arjun Jain,
Thorsten Thormahlen,
Hans-Peter Seidel,
Christian Theobalt
(MPI Informatik)
- Stereoscopic 3D Copy & Paste
-
Wan-Yen Lo,
Matthias Zwicker
(University of California, San Diego and Universitat Bern),
Markus Gross
(ETH Zurich),
Jeroen van Baar
(Disney Research Zurich),
Claude Knaus
(Universitat Bern)
Reconstructing and Editing Geometry
- Analysis, Reconstruction and Manipulation using Arterial Snakes
(
)
()
-
Guo Li,
Ligang Liu,
Hanlin Zheng
(Zhejiang University),
Niloy J. Mitra
(KAUST and IIT Delhi)
- Automatic Reconstruction of Tree Skeletal Structures from Point Clouds
(
)
(
)
-
Yotam Livny,
Feilong Yan
(Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China),
Matt Olson
(Simon Fraser University),
Baoquan Chen
(Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China),
Hao Zhang
(Simon Fraser University),
Jihad El-Sana
(Ben-Gurion University of the Negev)
- Cone Carving for Surface Reconstruction
-
Shy Shalom
(Bar Ilan University),
Ariel Shamir
(The Interdisciplinary Center),
Hao Zhang
(Simon Fraser University),
Daniel Cohen-Or
(Tel Aviv University)
- Editing Operations for Irregular Vertices in Triangle Meshes
-
Yuanyuan Li
(Arizona State University),
Eugene Zhang
(Oregon State University),
Yoshihiro Kobayashi,
Peter Wonka
(Arizona State University)
From Rigid to Soft
- Animation Wrinkling: Augmenting Coarse Cloth Simulations With Realistic-Looking Wrinkles
-
Damien Rohmer
(Grenoble University - LJK),
Tiberiu Popa
(ETH Zurich),
Marie-Paule Cani
(Grenoble Universites and INRIA),
Stefanie Hahmann
(Grenoble Universites),
Alla Sheffer
(The University of British Columbia)
- Multi-Resolution Isotropic Strain Limiting
-
Huamin Wang,
Ravi Ramamoorthi,
James O'Brien
(University of California at Berkeley)
- Piles of Objects
-
Shu-Wei Hsu,
John Keyser
(Texas A&M University)
- Real-Time Collision Culling of a Million Bodies on Graphics Processing Units
-
Fuchang Liu
(Ewha Womans University),
Takahiro Harada,
(Havok),
Youngeun Lee,
Young J. Kim
(Ewha Womans University)
Image & Video Applications
- A Comparative Study of Image Retargeting
-
Miki Rubinstein
(Massachusetts Institute of Technology),
Diego Gutierrez
(Universidad de Zaragoza),
Olga Sorkine
(New York University),
Arik Shamir
(The Interdisciplinary Center)
- Automatic Generation of Destination Maps
-
Johannes Kopf
(Microsoft Research),
Maneesh Agrawala
(University of California, Berkeley),
David Salesin
(Adobe Systems),
David Bargeron,
Michael F. Cohen
(Microsoft Research)
- Resizing by Symmetry-Summarization
()
(
)
-
Huisi Wu
(The Chinese University of Hong Kong),
Yushuen Wang,
Kun-Chuan Feng
(National Cheng Kung University, Taiwan),
Tien-Tsin Wong
(The Chinese University of Hong Kong),
Tong-Yee Lee
(National Cheng Kung University, Taiwan),
Pheng-Ann Heng
(The Chinese University of Hong Kong)
- Video Quality Assessment for Computer Graphics Applications
()
(
)
-
Tunc Aydin,
Martin Cadik,
Karol Myszkowski,
Hans-Peter Seidel
(MPI Informatik)
Sampling & Filtering
- Accelerating Spatially Varying Gaussian Filters
-
Jongmin Baek,
David Jacobs
(Stanford University)
- Anisotropic Blue Noise Sampling
()
(
)
-
Hongwei Li
(The Hong Kong University of Science and Technology (HKUST)),
Li-Yi Wei
(Microsoft Research),
Pedro V. Sander
(The Hong Kong University of Science and Technology (HKUST)),
Chi-Wing Fu
(Nanyang Technological University)
- Parallel Poisson Disk Sampling with Spectrum Analysis on Surfaces
-
John Bowers,
Rui Wang
(UMass Amherst),
Li-Yi Wei
(Microsoft Research),
David Maletz
(UMass Amherst)
- Spectral Sampling of Manifolds
-
Cengiz Oztireli
(ETH Zurich),
Marc Alexa
(Technischen Universitat Berlin),
Markus Gross
(ETH Zurich)
Computational Imagery
- Axial-Cones: Modeling Spherical Catadioptric Cameras for Wide-Angle Light Field Rendering
-
Yuichi Taguchi,
Amit Agrawal,
Ashok Veeraraghavan,
Srikumar Ramalingam
(Mitsubishi Electric Research Laboratories),
Ramesh Raskar
(MIT Media Lab)
- Computational Highlight Holography
-
Christian Regg,
Markus Gross,
Wojciech Matusik
(ETH Zurich and Disney Research Zurich),
Szymon Rusinkiewicz
(Princeton University)
- Computational Re-Photography
-
Aseem Agarwala
(Adobe Systems),
Soonmin Bae
(Samsung Techwin),
Fredo Durand
(Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory),
- Optimizing continuity in multiscale imagery
-
Charles Han
(Columbia University),
Hugues Hoppe
(Microsoft Research)
Fluids and Flows
- Detail-Preserving Fully Eulerian Interface Tracking Framework
-
Nambin Heo,
Hyeong-Seok Ko
(Seoul National University)
- Free-Flowing Granular Materials with Two-Way Solid Coupling
-
Rahul Narain,
Abhinav Golas,
Ming Lin
(University of North Carolina at Chapel Hill)
- Multi-Phase Fluid Simulations Using Regional Level Sets
-
Byungmoon Kim
(NVIDIA)
- Scalable Fluid Simulation using Anisotropic Turbulence Particles
(
)
(
)
-
Tobias Pfaff,
Nils Thurey
(ETH Zurich),
Jonathan Cohen,
Sarah Tariq
(NVIDIA),
Markus Gross
(ETH Zurich)
Volumetric Modeling and Rendering
- A Hierarchical Volumetric Shadow Algorithm for Single Scattering
-
Ilya Baran,
Jiawen Chen,
Jonathan Ragan-Kelley,
Fredo Durand
(Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory),
Jaakko Lehtinen
(NVIDIA Research and Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory)
- Fast Parallel Surface and Solid Voxelization on GPUs
-
Michael Schwarz,
Hans-Peter Seidel
(MPI Informatik)
- Unbiased, Adaptive Stochastic Sampling for Rendering Inhomogeneous Participating Media
-
Yonghao Yue
(The University of Tokyo),
Kei Iwasaki
(Wakayama University),
Bing-Yu Chen
(National Taiwan University),
Yoshinori Dobashi
(Hokkaido University),
Tomoyuki Nishita
(The University of Tokyo)
- Volumetric Modeling with Diffusion Surfaces
-
Kenshi Takayama
(The University of Tokyo),
Olga Sorkine
(New York University),
Andrew Nealen
(Rutgers university),
Takeo Igarashi
(The University of Tokyo)
3D Modeling
- Computer-Generated Residential Building Layouts
-
Paul Merrell,
Eric Schkufza,
Vladlen Koltun
(Stanford University)
- Context-Based Search for 3D Models
-
Matthew Fisher,
Pat Hanrahan
(Stanford University)
- Data-Driven Suggestions for Creativity Support in 3D Modeling
-
Siddhartha Chaudhuri,
Vladlen Koltun
(Stanford University)
- Multi-Feature Matching of Fresco Fragments
(TR)
(
)
-
Corey Toler-Franklin,
Benedict Brown
(Princeton University),
Tim Weyrich
(University College London),
Thomas Funkhouser,
Szymon Rusinkiewicz
(Princeton University)
- Style-Content Separation by Anisotropic Part Scales
-
Kai Xu,
Honghua Li,
(Simon Fraser University and National University of Defense Technology),
Hao Zhang
(Simon Fraser University),
Daniel Cohen-Or
(Tel Aviv University),
Yueshan Xiong,
Zhi-Quan Cheng
(National University of Defense Technology)
kesen.huang@gmail.com


A simplistic & lightweight gallery
In order to get Outlaw set up correctly you need to link the JS & CSS file
Outlaw only has one dependency and that's jQuery, so obviously it will not work without it.
Isn't much going on here, apart from setting the widths of the normal state of the gallery and the toggled version. Also supports zoom-in & zoom-out cursors for IE (Thanks to Andy)
Outlaw uses a pretty cool script where on the toggled state it perfectly centers the div in to the window size
I would love people to get involved with this project, there is currently a todo list on the README.md, so check that out :)
GitHub Project Download Master @joerichoCopyright 2013, Joe Richardson
Licensed under MIT


Download Folder Group downloads by site Group downloads by date If you download a page from Wikipedia today, it will be saved in
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{% load static i18n %}
{% blocktrans %} The first step to getting started is to register. To do this, click on the "Register" button at the upper end as shown in the figure. {% endblocktrans %}
{% blocktrans %} By clicking the button you will be redirected to this page. Fill in the fields with your information and click the indicated button to continue. {% endblocktrans %}
{% blocktrans %} Once this is done, a confirmation will be sent to your email address and you will be redirected to the personal information fills page. To be classified as a patient, member of the medical team or responsible, you must contact an employee of CRIS Down. {% endblocktrans %}
{% blocktrans %} To login with your account, click on the "Enter" button at the top of the site and enter the data entered in the registration. {% endblocktrans %}
{% blocktrans %} The forum is the place of communication between users of the site, where you can ask questions, suggest improvements and make complaints, as well as help other users. You can only comment and create posts if you are logged in with your account, explained here. {% endblocktrans %}
{% blocktrans %} The first page of the forum lists the categories of posts, they will be created according to the need of CRIS Down. To see the posts of a category, click on the title of the category you want. {% endblocktrans %}


0.0.5 - Wednesday, August 1, 2019
- Change MonitorStatus to an enum type
0.0.4 - Wednesday, July 24, 2019
- Updated additional constructor to use IEnumerable
0.0.3 - Wednesday, July 24, 2019
- Changes to make usage from C# more friendly. Added EventProcessor delegate and switched F# list usage out for IEnumerable.
0.0.2 - Monday, July 22, 2019
- Make library more extensible by adding IEventCounter. Change behavior of ValueCap processor so it no longer changes the limit status.
0.0.1 - Sunday, July 21, 2019
- Initial release


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Slideshow Demo:
Slideshow controls:
PLAY

PAUSE
	Current Image:
First 2 images use the default interval of 3 seconds and the last image has been explicitly set to 10 seconds.


Simulator Controls
Key Bindings
Officially supported:
- Esc - Exit prompt
- F1 - Help menu
- Space - Toggle User Interface
- ← ↑ ↓ → - Drive vehicle/robot forward/back, turn
For developer use:
- F5 - Save current position of vehicle
- F9 - Reset to last saved position of vehicle
- F12 - Toggle weather control panel
- H - Spawn/Respawn Non-Player Character (NPC) vehicles
- K - Remove NPC vehicles
- End - Toggle ignition (must be on for vehicle to move)
- Page Up - Shift to forward drive gear
- Page Down - Shift to reverse gear
- V - Toggle main camera view (from in front of car, from inside of car)
Miscellaneous
- Left Shift - Toggle headlights
- Right Shift - Toggle parking brake (needs to be off for vehicle to move)
- Num Pad 5 - Num Pad 9 - Windshield wipers
Steering Wheel Controls (Demonstration)
We use the Logitech G920 steering wheel with our simulator. The following table shows key mappings on the wheel for demonstration purposes, mainly for developer use.
| Logitech Wheel Button | Keyboard equivalent | Effect |
|---|---|---|
| Right paddle | Up | Accelerate |
| Left paddle | Down | Brake |
| RSB | Page Up/ Page Down | Toggle between Drive and Reverse |
| LSB | Num 5-8 | Toggle windshield wipers on/off |
| A | Spacebar | Toggle UI Switch (sensor menu & camera display) |
| B | H | Respawn all NPC traffic (not toggle) |
| X | - | Toggle sensor effects (LiDAR) |
| Y | V | Cycle through camera views |
| D-pad Up | - | Daytime scenario (no rain or fog) |
| D-pad Down | - | Rainy scenario (with fog) |
| D-pad Left | - | Night scenario (rain + fog + road wetness) |
| D-pad Right | - | Sunrise foggy scenario |
| Overlapping Squares | Left Shift | Cycle through headlight settings (off-low-high) |
| Hamburger Menu (3 horizontal lines) | Right Shift | Toggle parking brake |
| Xbox | End | Toggle vehicle ignition |


ingredion
Businessmodel of Ingredion
Customer Segments
Ingredion has a niche market business model, with a specialized customer segment. The company targets its offerings at the food, beverage, animal nutrition, brewing, textile, personal care, pharmaceutical, and paper/corrugating industries.
None of its individual customers accounts for more than 10% of its net sales.
Value Proposition
Ingredion offers five primary value propositions: accessibility, customization, convenience, risk reduction, and brand/status.
The company creates accessibility by offering a wide variety of options. The sweeteners, starches, nutrition ingredients, and biomaterials it provides are used by its clients to do everything from enhance sweetness and provide digestive support to soften texture and increase adhesive strength.
The company enables customization by collecting consumer insights as part of the product development process. It maintains 25 Ingredion Idea Labs worldwide, innovation centers where it works with customers to identify regional and general trends and incorporate them into new products (e.g., adding fiber to a cereal bar or reducing the amount of sugar in a sports beverage).
The company creates convenience by providing ingredients that simplify consumers’ lives. These include materials such as functional starches that help frozen products thaw evenly, cold water swelling starches that help instant puddings stir thoroughly, microwaveable soups that maintain home-style textures, and personal care products that pump from bottles without clogging.
The company reduces risk by maintaining high standards. It utilizes natural, plant-based products such as corn, potato, tapioca, and fruits/vegetables in its ingredients in place of synthetic materials and chemicals. Also, 100% of its production volume comes from ISO 9001-certified legacy facilities and 95% of its facilities have obtained Global Food Safety Initiative (GFSI) certification.
The company has established a powerful brand due to its success. It maintains 11,000 employees in over 100 countries. It touts itself as the largest manufacturer of corn-based starches and sweeteners in South America. Lastly, it has won many honors, including recognition as one of the “World’s Most Admired Companies” by Fortune seven years in a row (2010 - 2016) and as one of the ”World’s Most Ethical Companies” by the Ethisphere Institute three years in a row (2014 – 2016).
Channels
Ingredion’s main channel is its direct sales team, whose members are dedicated to specific geographic regions; it also relies on distributors in various regions. The company promotes its offering through its social media pages and participation in conferences.
Customer Relationships
Ingredion’s customer relationship is primarily of a self-service nature.
Customers use its products while having limited interaction with employees. The company’s website provides self-help resources such as information about sweeteners, the corn refining process, and its non-GMO credentials. That said, there is a personal assistance element in the form of phone and e-mail support.
Key Activities
Ingredion’s business model entails designing, developing, and manufacturing its ingredients.
Key Partners
Ingredion’s key partners are the distributors it partners with worldwide to sell its products and the trucking companies it contracts with to deliver its bulk products to customer destinations.
Key Resources
Ingredion’s main resources are its human resources, including its global network of over 350 scientists and its collection of nutrition experts, research chefs, and process engineers.
Its important physical resources include 25 Ingredion Idea Lab innovation centers and 43 manufacturing plants located in North America, South America, Europe, the Asia-Pacific, the Middle East and Africa.
Lastly, it places a high priority on intellectual property, with 844 issued and pending patents.
Cost Structure
Ingredion has a cost-driven structure, aiming to minimize expenses through significant automation and low-price value propositions. Its biggest cost driver is cost of sales, a variable expense. Other major drivers are in the areas of sales/marketing and administration, both fixed costs.
Revenue Streams
Ingredion has one revenue stream: the revenues it generates from sales of its ingredients to its customers.


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Risk or no risk?
Welcome and thank you for your interest in our study on risk-taking behaviour!
With your participance you contribute to the research on how people behave in gambling and lottery situations.
And most importantly you do us a great favor. :)
This survey contains a little writing-task, so please make sure that you are not in a hurry when you start this survey. However, our little experiment won't take you longer than 20 minutes. Promised!
Of course, the answers you provide will be kept in strictest confidentiality and are for scientific purposes only.
Please press the Done-Button to start the survey.


Architecture Overview
Which technologies are the most demanded at the moment?
How the demand for a particular technology evolves during the time?
How long is a job offer online until it is taken offline?
How long is a job offer online until it is taken offline?
Data Ingestion
Data Lake
Data Warehouse
Data Ingestion
The data is ingested via web scraping
The data source is the biggest recruitment platform in Germany
From this data source, two entities are scrapped:
Sitemap
Job Description
Sitemap
The sitemap format is just plain XML
It contains URL links all job descriptions
If a job is present in the sitemap, it means that it is online
Otherwise, it is offline
Job Description
A job description is a full HTML page
It contains all the public available details about the job offer:
company, location, job title, and full descriptionWeb Scrapping
The Sitemap is scrapped via regular HTTP requests
But due to the data source restrictions, real user traffic needs to be simulated to crawl and download the Job Descriptions
In order to simulate web interactions, I use the Playwright headless browser
Both entities Sitemap and Job Description are stored in the Data Lake raw layer as they are without any kind of transformation
Job Orchestration
Airflow is used in order to orchestrate and schedule the data ingestion
The web scrapping airflow dag is as follows
Job Orchestration
Additional details:
Data Lake
It is where all ingested data is stored permanently
It is located at my computers file system but it could be easily relocated to cloud storage
It is divided in two layers:
Raw Layer
Cleansed Layer
Raw Layer
It stores the data in the exactly format as it is ingested, e.g. XML or HTML
The folder structure is as follows:
raw
└── <data_source>
├── <entity>
│ ├── <year>
│ │ ├── <month>
│ │ │ ├── <date>
│ │ │ │ ├── <hour>-<minute>-<second>
│ │ │ │ │ ├── <entity_id>.<file_ext>
│ │ │ │ │ ├── <entity_id>.<file_ext>
│ │ │ │ │ ├── ...
Here is an example of the data structure
raw
└── ѕtерѕtоոе
├── job_description
│ ├── 2021
│ │ ├── 10
│ │ │ ├── 03
│ │ │ │ ├── 21-00-00
│ │ │ │ │ ├── 7577548.html
│ │ │ │ │ ├── 7577549.html
│ │ │ │ │ ├── ...
I have being scraping the web source since October 2021
The current raw layer data size is around 275 GB
And it grows around 2 GB per day
Cleansed Layer
The cleansed layer contains data in Parquet format
Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval
This format enables easy and performant data exploration across the whole dataset
The data in the cleansed layer is populated by computing the raw layer data
This computation parses the entities in the raw layer
And discards corrupted data
Additional information:
The cleansed layer data is partitioned is as follows:
cleansed
└── <data_source>
├── <entity>
│ ├── year=<year>
│ │ ├── month=<month>
│ │ │ ├── day=<day>
│ │ │ │ └── part-0.parquet
│ │ │ ├── day=<day>
│ │ │ │ │ ├── ...
Here is an example of the cleansed layer structure
cleansed
└── ѕtерѕtоոе
├── job_description
│ ├── year=2021
│ │ ├── month=10
│ │ │ ├── day=03
│ │ │ │ └── part-0.parquet
│ │ │ ├── day=04
│ │ │ │ │ ├── ...
The cleansed layer is also the data source for the data warehouse
The data contained in the Parquet files are actually accessed directly by the data warehouse
Data Warehouse
The Data Warehouse is based on DuckDB
DuckDB is an in-process SQL OLAP database management system
The architecture is very similar to SQLite but in this case it is column oriented and optimized for analytical loads
And being an in-process database is a big advantage since it consumes no resources unless it is being actively used by a program
In order to ingest data into the data warehouse
DuckDB uses a few views that expose data stored in parquet format
I called this layer that is shared between the data layer and the data warehouse curated but from the point of view of the datawarehause, it could have been called staging or ingestion
Once the data is exposed in the as parquet views
dbt scripts are used process the curated data
And the fact and dimension tables will be populated with this data
The data model in the data warehouse is as follows:
Architecture Overview
Thanks for your attention!


|
| | Text (const VirtualShield &shield) |
| | Initializes a new instance of the Screen class. More...
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| |
| int | clear (ARGB argb=0) |
| | Clears the screen of all elements. More...
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| |
| int | clearLine (UINT line) |
| | Clears the line. More...
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| |
| int | clearId (UINT id) |
| | Clears the element associated with the id. More...
|
| |
| int | print (String text, ARGB argb=0) |
| | Prints the specified text. More...
|
| |
| int | printAt (UINT line, String text, Attr extraAttributes[]=0, int extraAttributeCount=0) |
| | Prints the specified text at the specified line. More...
|
| |
| int | printAt (UINT line, EPtr text, Attr extraAttributes[]=0, int extraAttributeCount=0) |
| | Prints the specified text at the specified line. More...
|
| |
| int | printAt (UINT line, double value, ARGB argb=0) |
| | Prints the specified double at the specified line. More...
|
| |
| void | onJsonReceived (JsonObject &root, ShieldEvent *shieldEvent) override |
| | Event called when a valid json message was received. Consumes the proper values for this sensor. More...
|
| |
| | Sensor (const VirtualShield &shield, const char sensorType) |
| | Initializes a new instance of the Sensor class. More...
|
| |
| int | start (double delta=0, long interval=0) |
| | Starts the sensor, triggered when longer than the interval and larger than the delta. More...
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| |
| virtual int | stop () |
| | Stops this sensor. More...
|
| |
| int | get () |
| | Gets a single, current sensor reading. More...
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| |
| int | getOnChange (double delta=0) |
| | Requests a single reading when more than the delta beyond the current reading. More...
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| |
| bool | isUpdated () |
| | Determines whether this sensor has an updated value. Resets to false after this call. More...
|
| |
| int | writeAll (const char *serviceName, EPtr values[], int count, Attr extraAttributes[]=0, int extraAttributeCount=0) |
| | Writes all EPtr values to the communication channel. More...
|
| |
| int | sensorAction (SensorAction sensorAction, double delta=0, long interval=0) const |
| | Sends the specific action to start/stop/get/onChange the sensor using a delta and interval. More...
|
| |
| virtual bool | isEvent (const char *tag, const char *action, ShieldEvent *shieldEvent) |
| | Determines whether the specified shieldEvent matches the tag and action. More...
|
| |
| virtual bool | isEvent (int id, const char *action, ShieldEvent *shieldEvent) |
| | Determines whether the specified shieldEvent matches the id and action. More...
|
| |
| void | setOnEvent (void(*onEvent)(ShieldEvent *shieldEvent)) |
| |
| int | sendStop (const char *serviceName) |
| |


Sylvanian Families Farmhouse Accessories
From the box:
Complete Highfields Farm with these wonderful accessories. The range keeps the farmhouse lovely and
warm and is used to bake wonderful pies. Whilst the pictures, horse brasses, and horse shoe add
homely touches. Also included in this set is a hot water bottle and cover for those cold evenings,
mantel clock, two candles, umbrellas with stand, rug, blue patterned crockery, pies, wellies, boot
scraper, log basket, and apron.
|


This graph really sums it up.
The Figure above depicts the longest flights made by various aircraft in the period 1890 to 1909. Green points represent the various Wright craft during this period. Blue points represent non-Wright craft made between 1890 and 1905, while red points represent non-Wright craft made from 1906 to 1909. Lines on the graph are regression functions. The flat blue line indicates that the field as a whole was making NO sustained progress through the end of 1905. This lack of progress is almost invariably true of individual inventors as well as the group as a whole. The positive slope of the Wright brothers indicates a steady progression in the ability of their heavier-than-air craft. Once details of the Wrights methods became public when their patent was issued in late 1905, other inventors quickly copied the important discoveries of the Wright brothers, and developed airplanes as capable as those of the Wrights.
I saw a Blackpool tram on the Embarcadero in San Francisco today. The destination on the side said “Tower“.
I particularly liked the description of San Francisco’s Blackpool tram on the Market Street Railway website Every time I read it I hear Fred Dibnah‘s accent.
In England, “trolleys” are shopping carts. This is a “tram” and a special one at that….”
The tram drivers on the newly extended F-line that runs the length of Market Street and then along the Embarcadero to Fisherman’s Wharf seem to like this tram. At lunchtime they park a few trams outside the newly renovated ferry building at the end of Market Street and all sit in the Blackpool tram to chat and eat. It really is quite a site. It’s even illuminated! For those who don’t know the Blackpool illuminations are a national institution in the UK and date back to the days when electric street lights were such a novelty that people would travel miles to see them.
Anyway all this got me thinking about trams and more particularly their rise, fall and recent resurrection as a serious form of public transportation.
In the UK Trams were introduced in the late 1800′s. Manchester, for example, had its first horse drawn tram in 1877. Steam power was tried for a while but rapidly replaced with electricity at the turn of the century. By 1927 British tramways as a whole operated 14,481 cars on 4110 km of track. The internal combustion engine soon proved a more flexible power source. Busses did not require expensive track or electrical power supply systems and private automobiles delivered the ultimate in personal transportation flexibility, not to mention increased social standing. After the second world war the automobile came within the financial reach of the average person and the trams were slowly phased out. The last tram in Manchester ran in January 1949, on the Manchester to Hazel Grove route. Its number was 1007.
By the 1970′s and 1980′s the automobile had became ubiquitous in many cities in the developed world. These cities became severely congested during the morning and evening rush hours. The virtues of the old trams that had been scrapped in the 1950′s slowly became self-evident. A well organized and run public transport system based on trams can carry greater numbers of people with more efficiency in and out of major cities than open access to private motor cars can support. This is definitely true of the relatively compact cities developed before the motor car but the sprawling cities developed since its invention, like Los Angeles and Phoenix, can probably never be saved.
Trams returned to Manchester with the opening of the Metrolink in 1992 the first test run through the City streets was made by vehicle number 1007. The Metrolink has proved so successful that other UK Cities are following Manchester’s lead and reviving tram systems.
railway-technology.com
lists 41 current light railway systems being built in cities around the world.
I think the trend of rebuilding tram systems in major cities is a response to the way automobile congestion affects transportation networks. All commuters act out of self-interest by trying to shorten their journeys both in duration and distance. By having their own single or double occupancy vehicles commuters also have the convenience of traveling to a particular location at a time that is convenient for them. This strategy is more efficient than top down regulated systems of multiple occupancy vehicles with limited routes (Busses). But only up to a point. That point is somewhere just short of gridlock when journey time increase significantly. Here it becomes more efficient to travel together in multiple occupancy vehicles on a limited number of routes. Or at least it would be if everyone did so, the problem is that multiple occupancy vehicles get caught in the same traffic. There are two main ways of solving this problem.
Reduce traffic by punishing travelers for using selfish, low occupancy, modes of transportation. London’s new tax on entering the city in an automobile is exactly this type of punishment.
Provide segregated routes for multiple occupancy vehicles. Bus lanes, car pool lanes, and segregated tram lines all provide this form of advantage. This still leaves the question of why trams and not busses? A debate that appears to have been going on for years with no clear conclusion.
On 24 July 2003 Reporters Without Borders was suspended from the United Nations Human Rights Commission for one year. For details of why this injustice happened see my previous entry Farce at the United Nations Human Rights Commission. Reporters Without Borders have published a press release and a report on the commission’s accelerating decline, entitled UN Commission on Human Rights Loses all Credibility. Wheeling and dealing, incompetence and non-action.
The results of the vote on the suspension of the consultative status of Reporters without borders :
In favour (27): Azerbaijan, Benin, Bhutan, Brazil, Burundi, China, Congo, Cuba, Egypt, Ethiopia, Ghana, India, Iran, Jamaica, Kenya, Libya, Malaysia, Mozambique, Nepal, Nigeria, Pakistan, Qatar, Russian Federation, Saudi Arabia, South Africa, Uganda, and Zimbabwe.
Against (23): Andorra, Australia, Chile, El Salvador, Finland, France, Georgia, Germany, Greece, Guatemala, Hungary, Ireland, Italy, Netherlands, Nicaragua, Peru, Portugal, Republic of Korea, Romania, Sweden, Ukraine, United Kingdom, and United States.
Abstentions (4): Argentina, Ecuador, Japan, and Senegal.
Taken from the Reports without Borders press release
It seems Argentina, Ecuador, Japan and Senegal were too spineless to even have an opinion! The report by Reporters Without Borders makes clear that the noble idea of the United Nations Human Rights Commission is far from it’s ignominious reality.
I just watched Lawrence Lessig‘s speech, Free Culturefor a second time. The recording below was made at the O’Reilly Open Source Convention 2002 where Lessig delivered the keynote. It is a superb example of a well designed and delivered power point presentation. It is also very persuasive.
Throughout the presentation Lessig repeats the refrain:
Creativity and innovation always builds on the past.
The past always tries to control the creativity that builds on it.
Free societies enable the future by limiting the past
Ours is less and less a free society.
He concludes with the observation…
Extending copyright perpetually… is itself a form of theft – a theft of our common culture.
It worries me when a lawyer as smart as Lessig calls on people to defend long held freedoms. He strikes me as very level headed and clear thinking and when he claims there is something to be defended I believe he is probably right.
This great article explains in clear terms how Balinese rice farmers acting in self interest and following a few simple rules have caused the emergency of a large scale system that tends to maximize rice yields given the prevailing constraints.
For centuries Balinese rice farmers have engaged in cooperative agricultural practices. Without centralized control, farmers have created a carefully coordinated system that allows productive farming in an ecosystem that is rife with water scarcity and the threat of disease and pests.
It seems to me that P2P computing networks are in some ways analogus to the rice famers networks of fields and irrigation channels. Yet they have so far failed to produce any large scale emergent features, unless you count the destruction of the music industry as an emergent feature! The current crop of P2P systems seem to lack the simple rules that lead to emergent properties. I suspect it will not be too long before we see P2P systems that feature these simple rules and produce large scale emergent features.


If you're new to Mesos
See the getting started page for more information about downloading, building, and deploying Mesos.
If you'd like to get involved or you're looking for support
See our community page for more details.
Shared Persistent Volumes
Overview
By default, persistent volumes provide exclusive access: once a task is launched using a persistent volume, no other tasks can use that volume, and the volume will not appear in any resource offers until the task that is using it has finished.
In some cases, it can be useful to share a volume between multiple tasks running on the same agent. For example, this could be used to efficiently share a large data set between multiple data analysis tasks.
Creating Shared Volumes
Shared persistent volumes are created using the same workflow as normal
persistent volumes: by starting with a
reserved resource and applying a CREATE
operation,
either via the framework scheduler API or the
/create-volumes HTTP endpoint. To
create a shared volume, set the shared
field during volume creation.
For example, suppose a framework receives a resource offer containing 2048MB of dynamically reserved disk:
{
"id" : <offer_id>,
"framework_id" : <framework_id>,
"slave_id" : <slave_id>,
"hostname" : <hostname>,
"resources" : [
{
"name" : "disk",
"type" : "SCALAR",
"scalar" : { "value" : 2048 },
"role" : <framework_role>,
"reservation" : {
"principal" : <framework_principal>
}
}
]
}
The framework can create a shared persistent volume using this disk resource via the following offer operation:
{
"type" : Offer::Operation::CREATE,
"create": {
"volumes" : [
{
"name" : "disk",
"type" : "SCALAR",
"scalar" : { "value" : 2048 },
"role" : <framework_role>,
"reservation" : {
"principal" : <framework_principal>
},
"disk": {
"persistence": {
"id" : <persistent_volume_id>
},
"volume" : {
"container_path" : <container_path>,
"mode" : <mode>
}
},
"shared" : {
}
}
]
}
}
Note that the shared
field has been set (to an empty JSON object),
which indicates that the CREATE
operation will create a shared volume.
Using Shared Volumes
To be eligible to receive resource offers that contain shared volumes, a
framework must enable the SHARED_RESOURCES
capability in the
FrameworkInfo
it provides when it registers with the master.
Frameworks that do not enable this capability will not be offered
shared resources.
When a framework receives a resource offer, it can determine whether a
volume is shared by checking if the shared
field has been set. Unlike
normal persistent volumes, a shared volume that is in use by a task will
continue to be offered to the frameworks in the volume’s role; this
gives those frameworks the opportunity to launch additional tasks that
can access the volume. A framework can also launch multiple tasks that
access the volume using a single ACCEPT
call.
Note that Mesos does not provide any isolation or concurrency control
between the tasks that are sharing a volume. Framework developers should
ensure that tasks that access the same volume do not conflict with one
another. This can be done via careful application-level concurrency
control, or by ensuring that the tasks access the volume in a read-only
manner. Mesos provides support for read-only access to volumes: as
described in the persistent volume
documentation, tasks that are launched on a volume can specify a mode
of "RO"
to use the volume in read-only mode.
Destroying Shared Volumes
A persistent volume, whether shared or not, can only be destroyed if no running or pending tasks have been launched using the volume. For non-shared volumes, it is usually easy to determine when it is safe to delete a volume. For shared volumes, the framework(s) that have launched tasks using the volume typically need to coordinate to ensure (e.g., via reference counting) that a volume is no longer being used before it is destroyed.
Resource Allocation
TODO: how do shared volumes influence resource allocation?
References
MESOS-3421 contains additional information about the implementation of this feature.
Talk at MesosCon Europe 2016 on August 31, 2016 entitled “Practical Persistent Volumes”.


STORE. SYNC. SHARE.
The easy way to sync all your documents, music and movies to your storage in the cloud.
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Get involved, whether you’re a developer or deisgner or you just want to catch on nonsense.
Please
click here
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The process of running a static analysis tool to detect problems with your code
custom_rules:
pirates_beat_ninjas:
included: ".*.swift"
name: "Pirates Beat Ninjas"
regex: "([n,N]inja)"
match_kinds:
- comment
- identifier
message: "Pirates are better than ninjas."
severity: error
no_hiding_in_strings:
regex: "([n,N]inja)"
match_kinds: string


4.4.0 / 2015-07-18
- Updated HTML blocks logic to CM 0.21 spec.
- Minor fixes.
4.3.1 / 2015-07-15
- Allow numbered lists starting from zero.
- Fix class name injection in fence renderer.
4.3.0 / 2015-06-29
linkify-it
dependency update (1.2.0). Now accepts dash at the end of links.
4.2.2 / 2015-06-10
- CM spec 0.20.
- Added support for multichar substituition in smartquites, #115.
- Fixed code block render inside blockquites, #116.
- Doc fixes.
4.2.1 / 2015-05-01
- Minor emphasis update to match CM spec 0.19.
4.2.0 / 2015-04-21
- Bumped linkify-it version to
1.1.0. Now links with IP hosts and without protocols are not linkified by
default, due possible collisions with some version numbers patterns (<IP_ADDRESS>).
You still can return back old behaviour by
md.linkify.set({ fuzzyIP: true })
.
4.1.2 / 2015-04-19
- Bumped linkifier version. More strict 2-chars tald support for links without
schema. Should not linkify things like
io.js
and node.js
.
4.1.1 / 2015-04-15
- Improved pipe chars support in table cells, #86 (thanks to @jbt).
4.1.0 / 2015-03-31
- Security: disabled
data:
URLs by default (except some image mimes), to avoid
possible XSS. Version bumped, because features changed (formally). If you did
not used data:
URLs, consider this version as 4.0.4 (no API changes).
- Simplified link validator code. Now more easy to understand and to copy
into your projects for customization.
4.0.3 / 2015-03-25
- Updated linkifier.
- Smartquotes rule cleanup (#76).
- Fixed replacements rule bug in PhantomJS (#77).
4.0.2 / 2015-03-22
- Fixed emphasis
marker
fields in tokens (#69).
- Fixed html block tokens with numbers in name (#74).
4.0.1 / 2015-03-13
- Updated
linkify-it
version.
- Added custom container plugin demo.
4.0.0 / 2015-03-11
- Breaking internal API changes. See v4 migration notes. In usual case you will need to update plugins.
- Token internals changed
- Unified the most of renderer methods.
- Changed tokens creation - use
state.push(...)
(see sources)
- Moved
normalizeUrl()
to root class as .normalizeLink()
&
added normalizeLinkText()
method.
- Moved
.validateUrl()
to root class and simplified logic - no more need to
replace entities.
- Joined md unescape & replace entities logic to
utils.unescapeAll()
.
- Removed
replaceEntities()
in utils
.
md.utils.lib
now exposes useful libs for plugins.
- Use entities data from external package.
- Fixed emphasis regression, caused by CM v0.18 spec (#65).
3.1.0 / 2015-03-05
- Significantly improved autolinking quality (use
linkify-it
package), #2.
- Rewritten links normalizer to solve different edge cases (use
mdurl
package), #29.
- Moved link title entities replace out of renderer.
- Fixed escaped entities in links (
foo\&/bar
).
- Improved smartquotes logic, #61.
- Spec conformance update to 0.18.
3.0.7 / 2015-02-22
- Match table columns count by header.
- Added basic CLI support.
- Added \v \f to valid whitespaces.
- Use external package for unicode data (punctuation).
3.0.6 / 2015-02-12
- Fixed hang on long vertical list of links. Appeared in 3.0.5. See #54 for
details. Thanks to @fengmk2 for report!
- Table lines now can have escaped pipe char
\|
(#5).
- Sync scroll result => source in demo.
- Moved
normalizeReference()
to utils.
3.0.5 / 2015-02-06
- Fixed link validator - could skip some kind of javascript links with uppercase
digital entities (thanks to @opennota)
- Significantly improved tests coverage (with dead code removal and other
related things).
3.0.4 / 2015-01-13
- Improved errors processing in url normalizer (for broken sequences).
- Improved nesting limit processing in inline parser.
- Reorganised tests & improved coverage.
- Show inline diffs for failed tests.
3.0.3 / 2015-01-11
- Fixed punctuation check in emphasis.
3.0.2 / 2015-01-09
- Allow dashes in HTML tag names (needed for custom HTML tags).
3.0.1 / 2015-01-07
- Improved link encoder - fix invalid surrogates to avoid errors.
- Added # to terminator chars.
3.0.0 / 2015-01-04
- Big split. All "rare" rules moved to external plugins (deflist, abbr, footnote,
sub, sup, ins, mark).
- Updated CM spec conformance to v0.15 (better unicode support).
- Added
md
(parser instance) link to all state objects (instead of former
options/parser).
- References/Footnotes/Abbrs moved to
block
chain.
- Input normalization moved to
core
chain.
- Splitted links and images to separate rules.
- Renamed some rules.
- Removed
full
preset. Not needed anymore.
- enable/disable methods now throw by default on invalid rules (exceptions can
be disabled).
- Fixed inline html comments & cdata parse.
- Replace NULL characters with 0xFFFD instead of strip.
- Removed custom fences sugar (overcomplication).
- Rewritten link components parse helpers.
- More functions in
md.utils
.
2.2.1 / 2014-12-29
- Added development info.
- Fixed line breaks in definitions lists.
- .use() now pass any number of params to plugins.
2.2.0 / 2014-12-28
- Updated CM spec conformance to v0.13.
- API docs.
- Added 'zero' preset.
- Fixed several crashes, when some basic rules are disabled
(block termination check, references check).
2.1.3 / 2014-12-24
- Added curring to
set
/configure
/enable
/disable
methods.
- Demo rework - now can include plugins.
- Docs update.
2.1.2 / 2014-12-23
- Exposed helpers into parser instances (for plugins).
- Removed utils from global export - been in instances seems enougth.
- Refactored demo & added markdown-it-emoji to it.
2.1.1 / 2014-12-22
- Refreshed browser builds, missed in prev release.
- Minor changes.
2.1.0 / 2014-12-21
- Separated method to enable rules by whitelist (enableOnly).
- Changed second param of enable/disable ruler methods.
- Shortcuts in main class for bulk enable/disable rules.
- ASCII-friendly browserified files.
- Separate package for spec tests.
2.0.0 / 2014-12-20
- New project name & home! Now it's
markdown-it
,
- Sugar for constructor call -
new
is not mandatory now.
- Renamed presets folder (configs -> presets).


Celtics' Kemba Walker stretchered off with apparent neck injury
Boston Celtics point guard Kemba Walker was strapped to a backboard and stretchered from the court late in the second quarter in Denver on Friday night.
Walker ran into teammate Semi Ojeleye with his head down and appeared to suffer a neck injury.
There was no immediate word from the team on his injury or status.


The pdb module in Python provides us with immense features for effective debugging of python code. This includes:
1.Pause a program
2.Look at the values of variables
3.Look at program execution on every line
These are just some points that make pdb module a boon for Python programmers. Let’s look at how we can start using this module.
Starting Python Debugger
Well, it isn’t about the program. We can start pdb with any program. Here is a sample program:
Let’s see the output for this program:
Starting pdb within the program
Above example started pdb from the command line, so, pdb tracing started from the very first line of execution.
Usually, we only want to debug a specific area of a program which comes much after the program has started.
To achieve this, we use pdb in our programs itself. Let’s look at a code snippet:
Let’s see the output for this program:
Post-mortem debugging
Once the program is finished with the execution process, debugging a failure in it is termed as post-mortem debugging.
The module supports this as well with few more functions:
Checking variables on the Stack
One of the point of using a debugger at all is that we should be able to check the program stack and what variables are stored on
that stack during program execution. We can do this with pdb as well. Let’s look at a code snippet:
Let’s see the output for this program:
Conclusion
In this post on python debugging, we saw how we can effectively debug a Python program and identify any issues we face using pdb module.


In the 5 by 5 matrix below, the minimal path sum from the top left to the bottom right, by only moving to the right and down, is indicated in bold red and is equal to 2427.
|
|
|
|
Find the minimal path sum, in matrix.txt (right click and 'Save Link/Target As...'), a 31K text file containing a 80 by 80 matrix, from the top left to the bottom right by only moving right and down.


Coverspace: an in-browser tool for dynamically visualizing images
Toggle the options below to rearrange this collection of images. Read up on color spaces to get an explanation of what "HSV," "HLS," and the rest mean. See Ben's Schmidt's explanation for more on what this project is, or how to run it on a different collection of images.
X axis:
Y axis:
Image Opacity: .66


The International Conference on Knowledge Capture (K-CAP) is a major venue for discussing the latest scientific results and innovation around diverse areas of knowledge capture, including machine learning, text mining, knowledge representation, knowledge acquisition, intelligent user interfaces, problem solving and reasoning, planning, agents. Building on the success of previous editions, K-CAP 2021 is seeking to broaden its focus, emphasizing the role of knowledge capture technologies in the age of massive Web data and paying special attention to impact in real life and industrial applications.


'Khaaya Bhi Khilaaya Bhi': Congress On Modi Govt's Electoral Bonds Bill
The Congress reacted to HuffPost India’s report on the involvement of Modi's office in approving illegal sale of electoral bonds just before critical state assembly elections.
by Meryl SebastianCongress on Wednesday reacted to HuffPost India’s report on the involvement of Prime Minister Narendra Modi’s office in approving illegal sale of electoral bonds just before critical state assembly elections.
Calling it “unprecedented”, Congress leader Jairam Ramesh quoted Modi’s own words on political corruption, saying “Na khaunga, na khane doonga? Kya hua tera vaada?”
This week, HuffPost India is publishing journalist Nitin Sethi’s investigation into how the Modi government brought untraceable funds into Indian politics as part of the #PaisaPolitics series.
An exclusive report, published on Wednesday, revealed how the Prime Minister Modi’s office brokes its own government rules to allow for an illegal sale of electoral bonds before crucial state elections.
Sethi’s reports reveal why the RBI and the Election Commission had objected to the government’s electoral bond scheme and how the Modi government dismissed them.
On Wednesday, Ramesh said,
Read more on #PaisaPolitics here .


March 2020 - in progress
2012-2014
Associate's Degree in Marketing
Associate's Degree in Marketing
Associate's Degree in Marketing
Going into college I had no idea what I wanted to do, so I picked a basic degree and got my associates in marketing. After being unhappy in that field for several years I decided to try something completely different and enroll in a welding program. I completed that in 6 months and got a job pipe fitting.
I enjoyed pipe fitting to an extent, but there was not much growth potential and felt restless and unchallenged in my daily work. My dad has been a software engineer for 30 years and told me I should look into a coding program. After doing some research and weighing the pros and cons of switching careers yet again I decided to dive in, head first. Here are several reasons I decided to give sofware development and go:


Food
问题描述 :
You, a part-time dining service worker in your college’s dining hall, are now confused with a new problem: serve as many people as possible.
The issue comes up as people in your college are more and more difficult to serve with meal: They eat only some certain kinds of food and drink, and with requirement unsatisfied, go away directly.
You have prepared F (1 <= F <= 200) kinds of food and D (1 <= D <= 200) kinds of drink. Each kind of food or drink has certain amount, that is, how many people could this food or drink serve. Besides, You know there’re N (1 <= N <= 200) people and you too can tell people’s personal preference for food and drink.
Back to your goal: to serve as many people as possible. So you must decide a plan where some people are served while requirements of the rest of them are unmet. You should notice that, when one’s requirement is unmet, he/she would just go away, refusing any service.
The issue comes up as people in your college are more and more difficult to serve with meal: They eat only some certain kinds of food and drink, and with requirement unsatisfied, go away directly.
You have prepared F (1 <= F <= 200) kinds of food and D (1 <= D <= 200) kinds of drink. Each kind of food or drink has certain amount, that is, how many people could this food or drink serve. Besides, You know there’re N (1 <= N <= 200) people and you too can tell people’s personal preference for food and drink.
Back to your goal: to serve as many people as possible. So you must decide a plan where some people are served while requirements of the rest of them are unmet. You should notice that, when one’s requirement is unmet, he/she would just go away, refusing any service.
输入:
There are several test cases.
For each test case, the first line contains three numbers: N,F,D, denoting the number of people, food, and drink.
The second line contains F integers, the ith number of which denotes amount of representative food.
The third line contains D integers, the ith number of which denotes amount of representative drink.
Following is N line, each consisting of a string of length F. ��e jth character in the ith one of these lines denotes whether people i would accept food j. “Y” for yes and “N” for no.
Following is N line, each consisting of a string of length D. ��e jth character in the ith one of these lines denotes whether people i would accept drink j. “Y” for yes and “N” for no.
Please process until EOF (End Of File).
For each test case, the first line contains three numbers: N,F,D, denoting the number of people, food, and drink.
The second line contains F integers, the ith number of which denotes amount of representative food.
The third line contains D integers, the ith number of which denotes amount of representative drink.
Following is N line, each consisting of a string of length F. ��e jth character in the ith one of these lines denotes whether people i would accept food j. “Y” for yes and “N” for no.
Following is N line, each consisting of a string of length D. ��e jth character in the ith one of these lines denotes whether people i would accept drink j. “Y” for yes and “N” for no.
Please process until EOF (End Of File).
输出:
There are several test cases.
For each test case, the first line contains three numbers: N,F,D, denoting the number of people, food, and drink.
The second line contains F integers, the ith number of which denotes amount of representative food.
The third line contains D integers, the ith number of which denotes amount of representative drink.
Following is N line, each consisting of a string of length F. ��e jth character in the ith one of these lines denotes whether people i would accept food j. “Y” for yes and “N” for no.
Following is N line, each consisting of a string of length D. ��e jth character in the ith one of these lines denotes whether people i would accept drink j. “Y” for yes and “N” for no.
Please process until EOF (End Of File).
For each test case, the first line contains three numbers: N,F,D, denoting the number of people, food, and drink.
The second line contains F integers, the ith number of which denotes amount of representative food.
The third line contains D integers, the ith number of which denotes amount of representative drink.
Following is N line, each consisting of a string of length F. ��e jth character in the ith one of these lines denotes whether people i would accept food j. “Y” for yes and “N” for no.
Following is N line, each consisting of a string of length D. ��e jth character in the ith one of these lines denotes whether people i would accept drink j. “Y” for yes and “N” for no.
Please process until EOF (End Of File).
样例输入:
4 3 3 1 1 1 1 1 1 YYN NYY YNY YNY YNY YYN YYN NNY
样例输出:
3
#include <cstring> #include <cstdio> #include <cmath> #include <algorithm> #include <vector> using namespace std; // the maximum number of vertices #define NN 802 // adjacency matrix (fill this up) // If you fill adj[][] yourself, make sure to include both u->v and v->u. int cap[NN][NN], deg[NN], adj[NN][NN]; // BFS stuff int q[NN], prev[NN]; int dinic( int n, int s, int t ) { int flow = 0; while( true ) { // find an augmenting path memset( prev, -1, sizeof( prev ) ); int qf = 0, qb = 0; prev[q[qb++] = s] = -2; while( qb > qf && prev[t] == -1 ) for( int u = q[qf++], i = 0, v; i < deg[u]; i++ ) if( prev[v = adj[u][i]] == -1 && cap[u][v] ) prev[q[qb++] = v] = u; // see if we're done if( prev[t] == -1 ) break; // try finding more paths for( int z = 0; z < n; z++ ) if( cap[z][t] && prev[z] != -1 ) { int bot = cap[z][t]; for( int v = z, u = prev[v]; u >= 0; v = u, u = prev[v] ) bot = min(bot, cap[u][v]); if( !bot ) continue; cap[z][t] -= bot; cap[t][z] += bot; for( int v = z, u = prev[v]; u >= 0; v = u, u = prev[v] ) { cap[u][v] -= bot; cap[v][u] += bot; } flow += bot; } } return flow; } int n, f, d; int main(void) { while(scanf("%d %d %d", &n, &f, &d) != -1) { memset(cap, 0, sizeof(cap)); int start = f + d + n * 2, end = f + d + 1 + n * 2; int foodBase = n * 2; int drinkBase = foodBase + f; for(int i=0;i<n;i++) cap[i][n + i] = 1; for(int i=0;i<f;i++) { int curFood; scanf("%d", &curFood); cap[start][foodBase + i] = curFood; } for(int i=0;i<d;i++) { int curDrink; scanf("%d", &curDrink); cap[drinkBase + i][end] = curDrink; } for(int i=0;i<n;i++) { char str[201]; scanf("%s", str); for(int j=0;j<f;j++) if(str[j] == 'Y') cap[foodBase + j][i] = 1; } for(int i=0;i<n;i++) { char str[201]; scanf("%s", str); for(int j=0;j<d;j++) if(str[j] == 'Y') cap[i + n][drinkBase + j] = 1; } memset( deg, 0, sizeof( deg ) ); for( int u = 0; u <= end; u++ ) for( int v = 0; v <= end; v++ ) if( cap[u][v] || cap[v][u] ) adj[u][deg[u]++] = v; printf( "%d\n", dinic( end + 1, start, end ) ); } return 0; }
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Poor people, with big john!
跟今天可能又完全不一样


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COVID- influenza coronavirus nomogram {border-style novel px;} #ffffff;} (.â€".) CI, detection patients virus :â€". <. laboratory predictive used using (.; Beijing []. diagnosis lymphocyte nonspecific nucleic respiratory risk < .â€".; Ditan age count model monocyte pneumonia probability px; {font-family Capital Figure Hospital, Medical acid font-size groups infection tests .), .â€".), L%, age, double; infected median predicted represents results study value .). Infect Influenza MC, UniversityChina[], border-color border-width compared data differentiate indicators observed performed probabilities ratio solid; test, values variables {font-style {font-weight Ã—/L COVID-. Center China, However, Infectious Med; according bold characteristic collected courier; currently developed diagnostic differentiating disease em; established group hospital lymphocyte:monocyte markers operating outpatients percentage press. pt;} rate receiver tool tract treatment upper viral


{{define "title"}}Team Silverblue — News{{end}} {{define "body"}} Welcome Team Silverblue is currently building its web presence. Come back 5 May 2018. {{end}}
Team Silverblue is currently building its web presence. Come back 5 May 2018.


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Turner Kirk
I am Turner. I love rabbits. I also like to turn things.
well not really, but my name does actually come from the surname "Turner",
which is from the olden days when surnames were based on people's trade. And a "Turner" was a latheworker.
They did turn things.....on a lathe.
Here's a picture of a lathe in case you were curious
Here are some websites I made or am working on
- http://eccentricbillionaires.com
- http://turnerkirk.com
| Things I like |
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MONOPOLY |
Bagpiping |


PersistenceRPCOps |
interface PersistenceRPCOps : RPCOps |
RpcNamedQueryParameterJson |
data class RpcNamedQueryParameterJson |
RpcNamedQueryRequest |
Request containing information to execute named queries with optional post processing. data class RpcNamedQueryRequest |
RpcNamedQueryRequestBuilder |
Builder for constructing RpcNamedQueryRequest class RpcNamedQueryRequestBuilder |
RpcNamedQueryResponseItem |
An individual item holding the json marshalled representation of a result from named query execution. data class RpcNamedQueryResponseItem |


{% extends 'layout.html' %} {% block head %}
Predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data.
"Meteorological and spatiotemporal data for forest fires in Portugal’s Montesinho Natural Park registered between 2000 and 2003".
- UCI Machine Learning Repository


Looking for tiny foot print, fast, scaleable, flexible and pluggable...
This 5KB (gZip; 12.5KB minified) small date/time picker provides a lot of hooks for developers to write calendars, agendas, booking systems, plugins, etc. (See demos below in Demo).
On all elements with className 'date':
new DatePicker('.date', options);or
$('.date').datePicker(options);
TIP: The values don't have to be stored in hidden variables, they can also be received and stored in local storage or javascript variables (inspect window.dates), or let an MVC framework do the job:
Same as above but simpler markup (DIV based):
Find a clean demos here: ./white/index.html or ./naked/index.html
For the plain javascript version you need the following:
<script type="text/javascript" src="datePicker.min.js"> <script type="text/javascript"> var myDP = new DatePicker('.date', options); // first arg. can also be ElementCollection/Array or $() </script>
...or for the jQuery version:
<script type="text/javascript" src="jqDatePicker.min.js"> <script type="text/javascript"> $('.color').datePicker(options); // that's it </script>
For more information on API, callbacks, etc. see: github.com/PitPik/tinyDatePicker
Calendar is a tiny module (1.7KB gZip; 3.57KB minified), used in datePicker.js, that can render a month or only a week. It has a lot of options and callbacks that make rendering of complex data easy. See the following demos for what can be done with Calendar:


Man Utd will never lose their magic, claims Sheffield United boss Chris Wilder
Manchester United might not be the dominant force that they were 10 years ago but Wilder still believes there is something special about them
by Bill CooperChris Wilder insists Manchester United will never lose their magic.
The Old Trafford giants, by their own high standards, are having a bit of a hard time of it right now.
But they make the trip across the Pennines to take on Sheffield United with Blades boss Wilder tipping them to remain the biggest draw in the business.
He declared: “Manchester United are one of the most iconic teams in the world, and there will always be an aura surrounding them.
“No matter how their fortunes on the pitch may fluctuate, it’s still one of football’s true powerhouses that we are talking about whenever we mention their name.
“They are an incredible football club who are just going through a spell right now where they are not having it all their own way.
“That happens in football. But fortunes can fluctuate very quickly in this game and they will find their way back to the top, that’s for certain.”
Wilder says Harry Maguire will play a key role in the Old Trafford quest for fresh glory, and the England centre-back makes a sentimental return to Bramall Lane tomorrow.
Sheffield-born Maguire launched his career at his home-town team before moving on to Hull and then becoming the world’s most expensive defender with his £80million switch from Leicester to United last summer.
Wilder said: "Harry will get a great reception from our fans, I’m sure, and he can be proud of the way he has progressed and developed his game.
“He was given his chance here by Danny Wilson, then established himself at Hull before doing fantastically well with Leicester and getting that move to United.
“Harry has stayed humble, got on with his job, and we are all delighted for him that he’s getting the success he deserves.
“He’s a Sheffield United boy and he still comes to watch us play when he can. But we don’t intend for this game to turn into the Harry Maguire show.
“He’s in the opposition changing-room this time, so that means he is the enemy for 90 minutes. So it’s up to us to make it the Sheffield United show - and that’s what we want to do to make sure we stay where we are at the top end of the table.”


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I am capable with creating a lyrical video and a music video with ease,creating short videos and vines and discovery videos in my free time is what makes me happy.
I can create a logo,business cards and more in matter of seconds and minutes.Normally I use:
I got more experience in Web development After joining Moringa,I was only able to create a website using wordpress and that was never fun since it never seemed original to me. Here is a link to one of my first web creation after joining Moringa here
As stated above I was able to create a website but using templates from wordpress which was so unoriginal to me.Now I can safely say I am web developer and a coder.
My mom always told me to do what is felt right and what genuinely makes me happy.In the field of Journalism I could have archived but too much competition out here and I am not ready for that.Becoming a programmer was my dream since I was young and this always came to my mind beacuase I started using computer when I was ten years and I grew getting used to it.
I wanted to join Moringa because of the courses offered.Not only the course offered, but my friend always mentioned Moringa when he was recommending people institution of learning data science,Web Devolopment and Android too.When I got the opportunity of joining Moringa I never even gave it a second thought.
I am good at image annotations,Data Entry,Data Research and More.I worked as a Data Entry personnel at TSC,Worked for two months at Digital Divide Data and Worked at Samasource. For socials click Here!


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