Cursor style class
Distance from text
Swap speed of the cursor
Width of the cursor
Color on blind
Color on low
Cursor style class


RootViewController
class RootViewController : BaseViewController
extension RootViewController: Transitionable
On this controller the game series are displayed as rows of images and series information.
-
Undocumented
Declaration
Swift
var viewModel: RootViewModel
-
Undocumented
Declaration
Swift
var state: SubSceneDestination
-
Undocumented
Declaration
Swift
var dataSource: DataSource!
-
Undocumented
Declaration
Swift
var tableView: UITableView
-
Undocumented
Declaration
Swift
var statusLabel: UILabel
-
Undocumented
Declaration
Swift
var detailViews: NavigableDetail
-
Undocumented
Declaration
Swift
override func viewDidLoad()
-
We use the status label to display status messages for network errors
Declaration
Swift
func addStatusLabel()
-
Setup the tableview
Declaration
Swift
func addTableView()
-
Assign this controller to the view model
Declaration
Swift
func assignScreen()
-
Configure the table view with automatic dimensions
Declaration
Swift
func configureTableView()
-
This is called to load or reload data from the server
Declaration
Swift
@objc func reload()
-
Gesture applied to the view so the user can interact with it when needed to reload the remote data
Declaration
Swift
var tapGesture: UITapGestureRecognizer?
-
A method to display the network error / status
Declaration
Swift
func updateStatus(_ message: String)
-
Declaration
Swift
func display(to newState: SubSceneDestination)
-
Declaration
Swift
func push(to newState: SubSceneDestination)


22/06/2042
Male
Requested Date:Date
FIV: test result
FLV: test result
FVRCP Vaccination: test result
Rabies Vaccination: test result
Medical Description: test result
Behaviour Description: test result


New Game
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Load Game
Your weapon:
CPU weapon:
History
You Win
You Win
CPU Win
CPU Win
You Win
You: 3
CPU: 2
FIGHT »


--- layout: page title: Getting started --- {% include JB/setup %}
To familiarize yourself with the application, let's go through all the steps of a small sample project.
We have provided a data file, which you will need later. Right click the link below, click 'Save link as ...' and save it to any folder on your computer.
Sales by Product.csv
To access your Projects page, simply go to https://app.fores.ee. If you're not logged in, Foresee will ask for your email and password.
Creating a new project is very simple - just click on the blue 'New project' button on the upper right of the project page and fill in the requested information:
Next, click 'Create project'. The project will be saved, and you will be redirected to the window for this project. The forecasts have not yet been computed. Note that the status of the project is 'Processing', and there is a progress bar indicating the percentage of the forecasts that have been calculated.
Wait until Foresee finishes the calculations. The page will refresh, displaying a list of the forecasts contained in the project. In this case: Product 1, Product 2 and Product 3.
To access each of the forecasts, just click on the name of the forecast you would like to view. For example, click on "Product 1".
You will be taken to the page for the "Product 1” forecast. On this page you can view the forecast plot and also a table containing the forecasted values. Later we’ll explain what each of these columns represents.
If you want to save these outputs on your computer or share them with others in the company, you can export them as CSV or PDF files.
To do this, return to the project page by clicking on the project name (Monthly Sales) in the navigation bar, which is located above the navigation menu, as shown below:
To export all the forecasts included in the current project, click the link for the desired format. For example, you might click 'PDF' nexto to "Forecasts" in the project information area.
To export a single forecast, locate it in the table and click the desired format displayed in the 'Download' column. For example, click 'CSV' to export the CSV file containing the forecasts for the Product 1.
Congratulations! You have completed all the steps necessary to create and explore a project in Foresee.


1. Introduction
1.1. Terminology
2. Initialization
2.1. Feature descriptor
In order for the applications to signal their interest in using plane detection during a session, the session must be requested with appropriate feature descriptor. The string plane-detection is introduced by this module as a new valid feature descriptor for plane detection feature.
A device is capable of supporting the plane-detection feature if the device’s tracking system exposes a § 3.1 Native plane detection capability. The inline XR device MUST NOT be treated as capable of supporting the plane-detection feature.
3. Native device concepts
3.1. Native plane detection
4. Privacy & Security Considerations
5. Acknowledgements
The following individuals have contributed to the design of the WebXR Plane Detection specification:
Document conventions
Conformance requirements are expressed
with a combination of descriptive assertions
and RFC 2119 terminology.
The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY”, and “OPTIONAL”
in the normative parts of this document
are to be interpreted as described in RFC 2119.
However, for readability,
these words do not appear in all uppercase letters in this specification.
All of the text of this specification is normative
except sections explicitly marked as non-normative, examples, and notes. [RFC2119]
Examples in this specification are introduced with the words “for example”
or are set apart from the normative text
with class="example"
,
like this:
This is an example of an informative example.
Informative notes begin with the word “Note”
and are set apart from the normative text
with class="note"
,
like this:
Note, this is an informative note.
Requirements phrased in the imperative as part of algorithms
(such as "strip any leading space characters"
or "return false and abort these steps")
are to be interpreted with the meaning of the key word
("must", "should", "may", etc)
used in introducing the algorithm.
Conformance requirements phrased as algorithms or specific steps
can be implemented in any manner,
so long as the end result is equivalent.
In particular, the algorithms defined in this specification
are intended to be easy to understand
and are not intended to be performant.
Implementers are encouraged to optimize.


About
This is a book in development, with this page pointing at relevant resources.
Preprints of the book's contents are now available; you need to login (it's a free account) - direct link to preprint PDFs.
You can visit the Apress or Amazon pages to order the hardcover book (note: the electronic version will be free).
The hardcover is scheduled for mid-March, though we expect individual chapters to be available electronically before then. In the meantime, we've collected some ray tracing resources to tide you over.
Table of Contents
- Preface
- Foreword by Turner Whitted and Martin Stich
- Contributors
- Notation
- PART 1: RAY TRACING BASICS, editor: Chris Wyman
- 1. Ray Tracing Terminology, by Eric Haines and Peter Shirley
- 2. What is a Ray? by Peter Shirley, Ingo Wald, Tomas Akenine-Möller, and Eric Haines
- 3. Introduction to DirectX Raytracing, by Chris Wyman and Adam Marrs
- 4. A Planetarium Dome Master Camera, by John E. Stone
- 5. Computing Minima and Maxima of Subarrays, by Ingo Wald
- PART 2: INTERSECTIONS AND EFFICIENCY, editor: Ingo Wald
- 6. A Fast and Robust Method for Avoiding Self-Intersection, by Carsten Wächter and Nikolaus Binder
- 7. Precision Improvements for Ray/Sphere Intersection, by Eric Haines, Johannes Günther, and Tomas Akenine-Möller
- 8. Cool Patches: A Geometric Approach to Ray/Bilinear Patch Intersections, by Alexander Reshetov
- 9. Multi-Hit Ray Tracing in DXR, by Christiaan Gribble
- 10. A Simple Load-Balancing Scheme with High Scaling Efficiency, by Dietger van Antwerpen, Daniel Seibert, and Alexander Keller
- PART 3: REFLECTIONS, REFRACTIONS, AND SHADOWS, editor: Peter Shirley
- 11. Automatic Handling of Materials in Nested Volumes, by Carsten Wächter and Matthias Raab
- 12. A Microfacet-Based Shadowing Function to Solve the Bump Terminator Problem, by Alejandro Conty Estevez, Pascal Lecocq, and Clifford Stein
- 13. Ray Traced Shadows: Maintaining Real-Time Frame Rates, by Jakub Boksansky, Michael Wimmer, and Jiri Bittner
- 14. Ray-Guided Volumetric Water Caustics in Single Scattering Media with DXR, by Holger Gruen
- PART 4: SAMPLING, editor: Alexander Keller
- 15. On the Importance of Sampling, by Matt Pharr
- 16. Sample Transformations Zoo, by Peter Shirley, Samuli Laine, David Hart, Matt Pharr, Petrik Clarberg, Eric
Haines, Matthias Raab, and David Cline
- 17. Ignoring the Inconvenient When Tracing Rays, by Matt Pharr
- 18. Importance Sampling of Many Lights on the GPU, by Pierre Moreau and Petrik Clarberg
- PART 5: DENOISING AND FILTERING, editor: Jacob Munkberg
- 19. Cinematic Rendering in UE4 with Real-Time Ray Tracing and Denoising, by Edward Liu, Ignacio Llamas, Juan Cañada, and Patrick Kelly
- 20. Texture Level of Detail Strategies for Real-Time Ray Tracing, by Tomas Akenine-Möller, Jim Nilsson, Magnus Andersson, Colin
Barré-Brisebois, Robert Toth, and Tero Karras
- 21. Simple Environment Map Filtering Using Ray Cones and Ray Differentials, by Tomas Akenine-Möller and Jim Nilsson
- 22. Improving Temporal Antialiasing with Adaptive Ray Tracing, by Adam Marrs, Josef Spjut, Holger Gruen, Rahul Sathe, and Morgan McGuire
- PART 6: HYBRID APPROACHES AND SYSTEMS, editor: Morgan McGuire
- 23. Interactive Light Map and Irradiance Volume Preview in Frostbite, by Diede Apers, Petter Edblom, Charles de Rousiers, and Sébastien Hillaire
- 24. Real-Time Global Illumination with Photon Mapping, by Niklas Smal and Maksim Aizenshtein
- 25. Hybrid Rendering for Real-Time Ray Tracing, by Colin Barré-Brisebois, Henrik Halén, Graham Wihlidal, Andrew Lauritzen,
Jasper Bekkers, Tomasz Stachowiak, and Johan Andersson
- 26. Deferred Hybrid Path Tracing, by Thomas Schander, Clemens Musterle, and Stephan Bergmann
- 27. Interactive Ray Tracing Techniques for High-Fidelity Scientific Visualization, by John E. Stone
- PART 7: GLOBAL ILLUMINATION, editor: Matt Pharr
- 28. Ray Tracing Inhomogeneous Volumes, by Matthias Raab
- 29. Efficient Particle Volume Splatting in a Ray Tracer, by Aaron Knoll, R. Keith Morley, Ingo Wald, Nick Leaf, and Peter Messmer
- 30. Caustics Using Screen Space Photon Mapping, by Hyuk Kim
- 31. Variance Reduction via Footprint Estimation in the Presence of Path Reuse, by Johannes Jendersie
- 32. Accurate Real-Time Specular Reflections with Radiance Caching, by Antti Hirvonen, Atte Seppälä, Maksim Aizenshtein, and Niklas Smal
Cover
Bibtex entry:
@book{Haines2019,
title = {Ray Tracing Gems},
editor = {Eric Haines and Tomas Akenine-M\"oller},
publisher = {Apress},
year = {2019},
note ={\url{http://raytracinggems.com}},
}
Image on left from NVIDIA Game Dev by Alexia Rubod.
Page last updated February 8, 2019


One thing I like about space is its lyric possibility, how a silence can echo and be filled. Instead of extending an anecdote or argument directly, white space, a space break, a caesura, a pause — all of these serve as an opportunity for an electric silence, a space we ask the reader to occupy.


{%load staticfiles%}
I am experienced in leveraging agile frameworks to provide a robust synopsis for high level overviews. Iterative approaches to corporate strategy foster collaborative thinking to further the overall value proposition.
Bring to the table win-win survival strategies to ensure proactive domination. At the end of the day, going forward, a new normal that has evolved from generation X is on the runway heading towards a streamlined cloud solution. User generated content in real-time will have multiple touchpoints for offshoring.
GPA: 3.76
Apart from being a web developer, I enjoy most of my time being outdoors. In the winter, I am an avid skiier and novice ice climber. During the warmer months here in Colorado, I enjoy mountain biking, free climbing, and kayaking.
When forced indoors, I follow a number of sci-fi and fantasy genre movies and television shows, I am an aspiring chef, and I spend a large amount of my free time exploring the latest technolgy advancements in the front-end web development world.


Each year particularly in recent news, there have been issues surrounding mass school shooting which have risen to become a controversial topic. Here is the data which maps the visual points that displays school shooting from the years 2013 - 2018. After selecting a year, the first layer of the map will plot each shooting location as well as information such as school names, state, city, date, death and injury.
Second layer of map will plot each location in the shape of circle whose sizes are determined by the number of cacualties.
From the pie chart, we can visualize the top 10 states from 2013 to 2018 which have had most school shooting incidents by the percentge of each state's shooting incidents along with each city and school where the incident happened.
Georgia, Taxes, California, Ohio, Florida are the top 5 states where school shooting occured the most each year.
From the bar chart, we can visualize which state's school type fom 2013 to 2018 have had the most school shooting incident by the numbers of each school type along with the list of school name under each table on the table right further.


Roadmap¶
Purpose of this document¶
This document list general directions that core contributors are interested to see developed in scikit-learn. The fact that an item is listed here is in no way a promise that it will happen, as resources are limited. Rather, it is an indication that help is welcomed on this topic.
Statement of purpose: Scikit-learn in 2018¶
Eleven years after the inception of Scikit-learn, much has changed in the world of machine learning. Key changes include:
- Computational tools: The exploitation of GPUs, distributed programming frameworks like Scala/Spark, etc.
- High-level Python libraries for experimentation, processing and data management: Jupyter notebook, Cython, Pandas, Dask, Numba…
- Changes in the focus of machine learning research: artificial intelligence applications (where input structure is key) with deep learning, representation learning, reinforcement learning, domain transfer, etc.
A more subtle change over the last decade is that, due to changing interests in ML, PhD students in machine learning are more likely to contribute to PyTorch, Dask, etc. than to Scikit-learn, so our contributor pool is very different to a decade ago.
Scikit-learn remains very popular in practice for trying out canonical machine learning techniques, particularly for applications in experimental science and in data science. A lot of what we provide is now very mature. But it can be costly to maintain, and we cannot therefore include arbitrary new implementations. Yet Scikit-learn is also essential in defining an API framework for the development of interoperable machine learning components external to the core library.
Thus our main goals in this era are to:
- continue maintaining a high-quality, well-documented collection of canonical tools for data processing and machine learning within the current scope (i.e. rectangular data largely invariant to column and row order; predicting targets with simple structure)
- improve the ease for users to develop and publish external components
- improve inter-operability with modern data science tools (e.g. Pandas, Dask) and infrastructures (e.g. distributed processing)
Many of the more fine-grained goals can be found under the API tag on the issue tracker.
Architectural / general goals¶
The list is numbered not as an indication of the order of priority, but to make referring to specific points easier. Please add new entries only at the bottom.
- Everything in Scikit-learn should conform to our API contract
- Improved handling of Pandas DataFrames and SparseDataFrames
- Improved handling of categorical features
- Tree-based models should be able to handle both continuous and categorical features #4899
- In dataset loaders
- As generic transformers to be used with ColumnTransforms (e.g. ordinal encoding supervised by correlation with target variable)
- Improved handling of missing data
- Making sure meta-estimators are lenient towards missing data
- Non-trivial imputers
- Learners directly handling missing data
- An amputation sample generator to make parts of a dataset go missing
- Handling mixtures of categorical and continuous variables
- Passing around information that is not (X, y): Sample properties
- Passing around information that is not (X, y): Feature properties
- Passing around information that is not (X, y): Target information
- Make it easier for external users to write Scikit-learn-compatible components
- Support resampling and sample reduction
- Better interfaces for interactive development
- Improved tools for model diagnostics and basic inference
- Better tools for selecting hyperparameters with transductive estimators
- Grid search and cross validation are not applicable to most clustering tasks. Stability-based selection is more relevant.
- Improved tracking of fitting
- Verbose is not very friendly and should use a standard logging library #6929
- Callbacks or a similar system would facilitate logging and early stopping
- Use scipy BLAS Cython bindings
- This will make it possible to get rid of our partial copy of suboptimal Atlas C-routines. #11638
- This should speed up the Windows and Linux wheels
- Allow fine-grained parallelism in cython
- Now that we do not use fork-based multiprocessing in joblib anymore it’s possible to use the prange / openmp thread management which makes it possible to have very efficient thread-based parallelism at the Cython level. Example with K-Means: #11950
- Distributed parallelism
- Joblib can now plug onto several backends, some of them can distribute the computation across computers
- However, we want to stay high level in scikit-learn
- A way forward for more out of core
- Dask enables easy out-of-core computation. While the dask model probably cannot be adaptable to all machine-learning algorithms, most machine learning is on smaller data than ETL, hence we can maybe adapt to very large scale while supporting only a fraction of the patterns.
- Better support for manual and automatic pipeline building
- Easier way to construct complex pipelines and valid search spaces #7608 #5082 #8243
- provide search ranges for common estimators??
- cf. searchgrid
- Support for working with pre-trained models
- Backwards-compatible de/serialization of some estimators
- Currently serialization (with pickle) breaks across versions. While we may not be able to get around other limitations of pickle re security etc, it would be great to offer cross-version safety from version 1.0. Note: Gael and Olivier think that this can cause heavy maintenance burden and we should manage the trade-offs. A possible alternative is presented in the following point.
- Documentation and tooling for model lifecycle management
- Document good practices for model deployments and lifecycle: before deploying a model: snapshot the code versions (numpy, scipy, scikit-learn, custom code repo), the training script and an alias on how to retrieve historical training data + snapshot a copy of a small validation set + snapshot of the predictions (predicted probabilities for classifiers) on that validation set.
- Document and tools to make it easy to manage upgrade of scikit-learn
versions:
- Try to load the old pickle, if it works, use the validation set prediction snapshot to detect that the serialized model still behave the same;
- If joblib.load / pickle.load not work, use the versioned control training script + historical training set to retrain the model and use the validation set prediction snapshot to assert that it is possible to recover the previous predictive performance: if this is not the case there is probably a bug in scikit-learn that needs to be reported.
- (Optional) Improve scikit-learn common tests suite to make sure that (at
least for frequently used) models have stable predictions across-versions
(to be discussed);
- Extend documentation to mention how to deploy models in Python-free environments for instance ONNX. and use the above best practices to assess predictive consistency between scikit-learn and ONNX prediction functions on validation set.
- Document good practices to detect temporal distribution drift for deployed model and good practices for re-training on fresh data without causing catastrophic predictive performance regressions.
- More didactic documentation
- More and more options have been added to scikit-learn. As a result, the documentation is crowded which makes it hard for beginners to get the big picture. Some work could be done in prioritizing the information.
Subpackage-specific goals¶
- kmeans variants for non-Euclidean distances, if we can show these have benefits beyond hierarchical clustering.
- a stacking implementation
- a binned feature histogram based and thread parallel implementation of decision trees to compete with the performance of state of the art gradient boosting like LightGBM.
- multi-metric scoring is slow #9326
- perhaps we want to be able to get back more than multiple metrics
- the handling of random states in CV splitters is a poor design and contradicts the validation of similar parameters in estimators.
- exploit warm-starting and path algorithms so the benefits of EstimatorCV objects can be accessed via GridSearchCV and used in Pipelines. #1626
- Cross-validation should be able to be replaced by OOB estimates whenever a cross-validation iterator is used.
- Redundant computations in pipelines should be avoided (related to point above) cf daskml
- Ability to substitute a custom/approximate/precomputed nearest neighbors implementation for ours in all/most contexts that nearest neighbors are used for learning. #10463
- Performance issues with Pipeline.memory
- see “Everything in Scikit-learn should conform to our API contract” above
- Add a verbose option #10435


{% extends 'gallery/base.html' %} {% block content %} {{block.super}}
{{image.image_name }}
Image Name: {{image.image_name }}
Category: {{ image.image_category }}
Location: {{ image.image_location }}


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Bride goes ‘mad’; twerks with her bridesmaids at her wedding-shows off her underwear
by RASHADA crazy video of a Ghanaian bride giving wild twerk at the reception of her wedding has gone viral on social media.
What makes the video more disturbing is the fact that the bride went as far as showing off her underwear whiles she exhibits her twerking skills.
SEE ALSO: Story of how Ohemaa Woyeje allegedly kidnapped ‘Asana’ seller for dating her husband shocks fans
Interestingly, she was not alone on the Dance floor showing off her twerking skills; she had her bridesmaids with her on the dance floor twerking.
Well, watch the video below
SEE ALSO: Anas arrested without his mask allegedly trying to steal some Ga natives of their land at Trade Fair
It’s unclear where the incident occurred but judging from the scene, it appears it took place somewhere in the United States.
Crazy Generation!!


This HIT will only work in GOOGLE CHROME and should take ~10-15 minutes
PLEASE DO ONLY ONE HIT. If you do multiple HITs, you will not be paid.
In this experiment, you will learn how to categorize television antennas.
Please pay attention, thanks!
By answering the following questions, you are participating in a study being performed by cognitive scientists in the Stanford Department of Psychology. If you have questions about this research, please contact us at<EMAIL_ADDRESS>You must be at least 18 years old to participate. Your participation in this research is voluntary. You may decline to answer any or all of the following questions. You may decline further participation, at any time, without adverse consequences. Your anonymity is assured; the researchers who have requested your participation will not receive any personal information about you.
We have recently been made aware that your public
Amazon.com profile can be
accessed via your worker ID if you do not choose to opt out.
If you would like to opt out of this feature, you may follow
instructions available here:
http://www.amazon.com/gp/help/customer/display.html?nodeId=16465241
In this game you will see "loop antennas" for televisions and each antenna receives one of two channels (CH1 or CH2). The channel received by an antenna depends on its size and angle.
Your goal is to learn the difference between the two types of antennas. The antennas are noisy and can pick up the wrong channel on occasion, so you should learn what channel is most often received by a particular type of antenna.
To advance:
Press the Z key if the antenna receives Channel 1.
Press the X key if the antenna receives Channel 2.
Click the Continue button to begin.
You will be able to design and test your own antennas.
*To adjust the size, press and release the Z key,
then click/drag the antenna L/R.
*To adjust the angle, press and release the X key,
then click/drag the antenna L/R.
NOTE you will have to click within the antenna to adjust it.
Also, you will design many antennas, so you do not need to spend too much
time on each one. Once you are satisfied with your antenna,
press C to learn what station it receives.
Click the Continue button to begin.
To adjust size, press Z, then click/drag antenna L/R.
To adjust angle, press X, then click/drag antenna L/R.
To learn the station, press C.
Z = Channel 1
X = Channel 2
This antenna receives:
Which channel does this antenna receive?
Accuracy on preceding block {{}}
Answering these questions is optional, but will help us understand your answers.
Did you read the instructions and do you think you did the HIT correctly?
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Level Of Education:
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Did you enjoy the hit?
We would be interested in any comments you have about this experiment. Please type them here:


The United Nations had declared 2010 to be the International Year of Biodiversity (Resolution 61/203). The campaign raised awareness about the value and importance of the diversity of life on our planet, and it instilled a sense of wonder, of discovery, and ultimately of individual and collective action for a more sustainable relationship between human communities and the ecosystems of the world.


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corepack
Zero-runtime-dependency package acting as bridge between Node projects and their package managers.
More information: home page
- Add the Corepack shims to the Node.js installation directory to make them available as global commands:
corepack enable
- Add the Corepack shims to a specific directory:
corepack enable --install-directory path/to/directory
- Remove the Corepack shims from the Node.js installation directory:
corepack disable
- Prepare a specific package manager:
corepack prepare package_manager@version --activate
- Prepare the package manager configured for the project in the current path:
corepack prepare
- Use a package manager without installing it as a global command:
corepack npm|pnpm|yarn package_manager_arguments
- Install a package manager from the specified archive:
corepack hydrate path/to/corepack.tgz
- Display help for a subcommand:
corepack subcommand --help


The solid modeling library is a collection of classes that implement an
area of 3D computer graphics called solid modeling. This technology is the basis
upon which all geometry nodes are built. This is a good design choice because of the
possibility to support various important features (none of which are currently available
through the current API, although some of which are implemented). These important
features include Boolean Operations, Splitting Planes, Rotational Sweeps, Translation
Sweeps, Extrusions, Progressive Meshes, Automatic Level of Detail generation. Each
class is briefly described below. For more information click
here.
Solid class: This is the main class in the solid modeling
library. This class represents a polygon based boundary representation of a
geometric model. The class maintains a list of faces, edges and vertices which
describe any given 3D model. The class defines interfaces for Boolean Operations,
Splitting Plane Operations, Undo of modeling changes, among other things.
Face class: This class represents a polygon (possibly with holes). It
is basically a list of Loops (which are lists of halfedges, which each point to one
vertex). This class represents a single face in the model and may contain color,
texture and normal information.
Edge class: This class represents an edge between two vertices.
This class supports many operations making data access (for example from one face to
another) very fast.
Vertex class: This class represents a point in space. It may
also represent a color, texture coordinate or normal. Faces are basically lists of
vertices.
Loop class: This class is a list of halfedges (which in turn point to
a single vertex). This class is an item in a list of Loops that make up the face
class.
HalfEdge class: A halfedge corresponds to a single vertex in a single
face loop. This is the fundamental class (with the exception of the Solid class) in
the Solid Modeling library. This class allows for linear time access to any other
data member in the solid model (for example Find all vertices on this face, or find all
face on this vertex, etc.). Low level operations performed on the Halfedge data
structure are the basis of the Boolean Operation, Splitting plane and progressive mesh
functionality. Halfedges may contain color, texture coordinates and normal data.
Boolean Operation classes: This collection of classes supports
Boolean Operations on the solid models. This includes performing such operations as
Union, Difference and Intersection of two solid models. This might be used in some
future 3D modeling application or as the basis for interesting games for PC users.
Splitting Plane classes: This collection of classes supports Splitting
Plane operations. In this algorithm a plane is passed through a solid model
resulting in two solid models that are the result of cutting a single solid model in half
with the plane. This algorithm could also support a 3D modeling application.


?PLANTS
OF
HAITI
Vtotntty
of
Port
de
Paix
Ne^YoritBotenk╚1
Garden
EMERY
C.
LEONARD
GENEVIEVE
M.
LEONARD
Collectors
1616412
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


MVC allows developers to maintain a separation of concerns, with a Model layer for data, a View layer for design, and a Controller layer for application logic.
The difference is that authentication means confirming your own identity and authorization means being allowed access to the system.
ORMs helped me to simplify the way queries are created in SQL.


hhhassan7.github.io
Github repo for Hassan's Website
How to create one for yourself
- Fork the repo
- Rename the repo as your-user-name.github.io
- Check at http://your-user-name.github.io
- Make changes as you want!
How to run and make changes locally
Simply go to your cloned directory and if you have
- NodeJS
server
- Python 2.7x
python -m SimpleHTTPServer
- Python 3.x
python -m http.server


About me
I am an assistant professor at the LBJ School of Public Affairs and a faculty associate at the Population Research Center at the University of Texas at Austin. Prior to joining UT, I completed my postdoctoral work at the Office of Population Research at Princeton University.
My research interests are focused on reproductive health and span several disciplines, combining backgrounds in biomedical science, demography, public health, and public policy. My work has been published in the BMJ, the New England Journal of Medicine, American Journal of Public Health, Social Science and Medicine, Perspectives on Sexual and Reproductive Health, and Obstetrics and Gynecology, among others. My research has been supported by the National Institutes of Health and the Society of Family Planning.
I grew up in Northern Ireland and completed my bachelor's and medical degrees at Trinity College, Cambridge After moving to the U.S. in 2009 to attend the Harvard School of Public Health as a Frank Knox Fellow, I married a Texan, adopted some guinea pigs, and decided to stay awhile longer. When I'm not in the office, you can usually find me running on the trail, trying to increase my pull-up count, or taking my cat, Markov for a random walk.
My complete CV is available here.
Contact information
Abigail R.A. Aiken (MD, MPH, PhD)
Assistant Professor
LBJ School of Public Affairs
University of Texas at Austin
Austin, Texas
araa2 _ at _ utexas.edu


#assign n0_docs="true"> <#assign n1_query_find="true"> <#assign findEach= "true">
This method is appropriate to process a potentially large query result as the beans are consumed one at a time and do not need to be held in memory (unlike findList, findSet, findMap )
Note that findEach
(and findEachWhile
and findIterate) uses a "per graph"
persistence context scope and adjusts jdbc fetch buffer size for large
queries. As such it is better to use findList for small queries.
Note that internally Ebean can inform the JDBC driver that it is expecting larger
resultSet and specifically for MySQL
this hint is required to stop it's JDBC driver
from buffering the entire resultSet. As such, for smaller resultSets findList() is
generally preferable.
Compared with findEachWhile this will always process all the beans where as findEachWhile provides a way to stop processing the query result early before all the beans have been read.
This method is functionally equivalent to findIterate() but instead of using an
iterator uses the Consumer
interface which is better suited to use with Java8 closures.


Hello {username},
the test {testName} received a new run with fingerprint {fingerprint} but it could not calculate values for these change detection variables:
Please check it out and correct change detection variables in {testName}.
Horreum Alerting


ZOOLANDER A film review by David N. Butterworth Copyright 2001 David N. Butterworth
*1/2 (out of ****)
Having a poke at the fashion industry (and, more specifically, its preening portfolio of male models) doesn't exactly take a degree in rocket science but Ben Stiller takes a stab at it anyway in "Zoolander," his latest turn behind the camera. It's obvious from the turgid Bond-ian opening that something is amiss, and you quickly wonder just how long Stiller, the put-upon star of "Meet the Parents" and the occasional director of such films as "Reality Bites" and "The Cable Guy," can drag this catwalk spectacle out.
Not long it seems.
Derek Zoolander (Stiller) is the toast of the fashion world and, as the film opens, is up for Male Model of the Year for an unprecedented fourth time (he's won three years in a row). Apart from being terribly good-looking (his words not theirs), Derek has perfected The Look. He calls one of its several manifestations Blue Steel, an edgy glance to camera, eyebrows tight, lips pursed in a half-kiss, half-smile. It's a look that can be seen all over town--on billboards, on magazine covers, everywhere. Le Tigre is another one (it's exactly the same look). He's working on a new one--Magnum--but after nine years it's still not perfected.
The only threat to Derek's throne is a blue-eyed blond supermodel named Hansel. Played by Owen Wilson (from "Shanghai Noon"; he also played opposite Stiller in "Meet the Parents"), Hansel is every bit as handsome--and intellectually impaired--as his rival. These two pretty dimwits go at in on the runway and just about every fashion world cliché gets trampled on in the process. There's also a plot to kill the prime minister of Malaysia!
Stiller must be a popular guy in Hollywood these days because his film is populated with a veritable Who's Who of television and movie talent. Many of these, like David Duchovny, David Bowie, and Winona Ryder, show up for brief scenes and disappear soon after and some (like Gary Shandling and Vince Vaughn) don't even get a speaking part. But they clearly wanted to be in Ben's picture. I can understand that: Stiller's a terrifically funny guy (and I mean that most sincerely: he's the *only* reason to ever rent "Mystery Men"!).
So how come "Zoolander" misses the mark? Perhaps its subject matter is simply too obvious and the jokes simply not funny enough. If you're going to take such an easy target you have to do something special with it but Stiller, who co-wrote the movie with Drake Sather and John Hamburg based on a VH-1/Vogue Fashion Awards character from five years ago, never really moves the humor a notch above silly. There are certainly chuckles to be found here--it's hard watching anyone, let alone Stiller, who seems to have a natural and uncanny aptitude for physical comedy, posing and posturing and prancing around in silly outfits to Frankie Goes to Hollywood without cracking a smile--but "Zoolander" never pushes the envelope, never touches on inspired. It's frivolous and not much more.
Co-starring Will Ferrell as a poodle-coiffed designer named Mugatu, Milla Jovovich as his butch henchwoman, Christine Taylor (still a dead ringer for "The Brady Bunch"'s Marcia) as the love interest and, oh, Ben's Dad Jerry, "Zoolander" is another one of those "Saturday Night Live"-styled sketches dragged out in perpetuity. The most disappointing thing about Stiller's film, however, is that all it appears to be saying is that male models don't seem to have a lot between the ears. There. I just saved you eight bucks.
-- David N. Butterworth<EMAIL_ADDRESS>Got beef? Visit "La Movie Boeuf" online at http://members.dca.net/dnb
========== X-RAMR-ID: 29657 X-Language: en X-RT-ReviewID: 252461 X-RT-TitleID: 1110145 X-RT-SourceID: 878 X-RT-AuthorID: 1393 X-RT-RatingText: 1.5/4
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


Abeler-Dörner, L., Laing, A.G., Lorenc, A. et al (2020). Nat Immunol 21, 86–100
High-throughput phenotyping reveals expansive genetic and structural underpinnings of immune variation.
- Nature: https://www.nature.com/articles/s41590-019-0549-0
- Free preprint: https://www.biorxiv.org/content/10.1101/688010v2
Bradley et al (2012) Mammalian Genome 23, 580-6
The mammalian gene function resource: the International Knockout Mouse Consortium.
This paper gives an overview of the ES cell resources available through the International Knockout mouse consortium (IKMC).
http://www.ncbi.nlm.nih.gov/pubmed/22968824 Skarnes et al. (2011) Nature, 474, 337-42
A conditional knockout resource for the genome-wide study of mouse gene function.
This paper describes the knockout strategy across the IMPC.
http://www.ncbi.nlm.nih.gov/pubmed/21677750 White et al. (2013) Cell, 154, 452-64
Genome-wide generation and systematic phenotyping of knockout mice reveals new roles for many genes.
This paper contains an overview over the first 250 lines phenotyped in the WTSI pipeline.
http://www.ncbi.nlm.nih.gov/pubmed/23870131 Brown and Moore (2012) Mammalian Genome, 23, 632-60
The International Mouse Phenotyping Consortium: past and future perspectives on mouse phenotyping
This paper ....
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3774932/


securetty
Section: System Administration tools and Daemons (8)Updated: 2009-10-27
Index Return to Main Contents
NAME
securetty - add a tty to /etc/securettySYNOPSIS
securetty ttyDESCRIPTION
securetty safely adds tty to /etc/securetty.NOTES
securetty is not normally meant to be run by hand; it is invoked by the upstart job that sets up the system serial console.SEE ALSO
securetty(5)
Index
This document was created by man2html, using the manual pages.
Time: 05:34:29 GMT, December 24, 2015


Display Inline vs Inline Block
Display Block
If an element is being displayed block:
- it will not allow other elements to sit to the right of it on the same level as itself. There is a built in line break after a block.
- It will respect margins/paddings on all sides of it.
- it will respect height and width settings.
Display Inline
If an element is being displayed inline:
- it will allow other elements to sit to the left and right of it on the same level as itself.
This is because there is no line break before or after it (it doesn't need to be on its own line).
- It will respect only margins/paddings to either side of it, not above or below.
- it will not respect height and width settings; it will just take on the height and width of what it contains.
Display Inline-Block
If an element is displayed as inline-block:
- it will allow other elements to sit to the left and right of it on the same level as itself.
This is because there is no line break before or after it (it doesn't need to be on its own line...this is an inline characteristic).
- It will respect only margins/paddings on all sides of it (this is one of its block like characteristics)
- it will respect height and width settings (this is also one of its block like characteristics)
I'll show you an example.
Here is my code. As you can see I made a few combinations of display type and size settings, as well as the color so you can easily differentiate what div is what. I also invoked some of the divs in a few places so you can see how they do or do not nestle into the same line as each other.:
And above is what that code renders in the browser. Notice how the inline elements do not respect size, while the block and inline block ones do. Notice how the inline and inline block elements let the other elements sit in the same line as them, while the block elements won't even when there is room.
I hope that was helpful! Thanks for stopping by.


Weekend Challenge 1
Employee First Name:
Employee Last Name:
Employee ID Number:
Employee Job Title:
Employee Annual Salary:
Monthly Expenditure:
Employee Information
First Name
Last Name
Employee Number
Title
Salary
Remove Last Employee


Stylesheets
You're operating system version needs to be at least Mac OS X 10.3 (Panther) in order to use stylesheets. To purchase Mac OS X 10.3, or to learn more about it, visit Apple's Mac OS X website. |
A stylesheet is a collection of "styles", which is like a font with preset attributes. An example of a style could be blue, shadowed, centered, bold 24-point Helvetica, and it could be named "Big Header". This is useful if you need preset fonts and settings for different types of text, like captions, headlines, etc.
To make a new style:
- Apply desired formatting to a piece of text.
- Choose Other
from the Styles popup menu on the ruler.
If you want to jump to another piece of formatted text (perhaps you liked the formatting of the next paragraph better), click the arrow buttons ( and ) to "scroll" through the styles. The arrow buttons with the lines ( and ) jump to the first and last pieces of formatted text, and the square button () returns you to the original piece of formatted text you had.
- Click the Add To Favorites button, and type a name for your new style. You'd probably want to check the Include the font as part of the style checkbox, which includes the font and color information in the style. Checking the Include the ruler as part of the style will include ruler settings, such as tab stops and justification.
- Finally, click Add. Your style will be available in all Mac OS X programs that use the standard Mac OS X ruler and use the stylesheet system, including CocoaPad.
To use a style:
- Select the piece of text you want to format.
- Choose the desired style from the Styles popup menu on the ruler.
If you want to remove a style you added, choose Other
from the Styles popup menu on the ruler, click the Favorite Styles radio button, and then select the style you want to remove from the popup menu. Click the Remove From Favorites button to delete the style (be warned: you cannot undo this). |


>
<%- include common/head.html %> <%- include common/top.html %>
<%=post.title%>
<%=moment(post.create_at).format(timeFormat1)%>
<%-post.content%>
<%- include ../common/footer.html%>


--- layout: post title: Active Record Deep Dive date: '2012-07-27T09:53:00-05:00' tags: - rails - ruby on rails - active record permalink: /post/28125445535/active-record-deep-dive ---
If you’re new to Rails and Active Record, or you’ve been using them for some time, there are likely methods you’ve been overlooking. This week I take a look at the most common SQL Query interfaces for Active Record. Finally we wrap up by talking about how Active Record allows us to chain together methods, how we can prevent SQL injection attacks on our websites, and how to read Ruby Documentation.
Watch the video Recap of last week and take the quiz before looking at the solutions.
Feel free to skip around, most of the videos are self explanatory. This is week 7 of my Databases & Rails course taught at the University of Texas. If you’re new to databases you might want to start out with Why and how to use a database, and if you’re not familiar with Active Record Relationships you will get more out of this if you watch modeling relationships first.
With a Active Record we can use where
to pull data from our database using a set of criteria. We can use a hash syntax, insert plain SQL, or use a query string escaped syntax. The where
method can be used to return back objects or a collection of objects from the database.
Active Record: includes helps us to eager load data where appropriate and avoid N+1 query problems.
Using Find in Active Record is much like where
but only looks up via primary key. If the record is not found an error will be raised.
The order of your data can be controlled in Active Record using the order
method.
Sometimes we don’t want to return too much data, when we have a large dataset we can use limit
to decrease our results.
Imagine you’re an online retailer like Amazon if someone is looking for frying pans, you’re not going to show them every frying pan you have on one page, it would be hard to look at, and wreak havoc on your server. You can use offset
and limit
together to “paginate” data. That is only showing 20, 50, 100, etc. items per page.
Understanding joining data is the foundation of building and traversing databases. Learn the concepts behind joining two tables and the differences between an inner and outer join. If you’re new to the concept of has many or belongs to you should watch the videos from week 2 modeling relationships with Active Record.
I came to Rails with no database background, learning to effectively understand and leverege joins has made a tremendous impact on the performance and quality of code i’m able to write in Rails.
We can group together similar terms inside of our database, we can use this for performing aggregate calculations, or for limiting search results to one result per grouped attribute.
Possibly one of the most confusing methods of the set, having is used to query against aggregated results. Typically having
and group
are used together. Having can be very useful when getting metrics about your data. For example if you have a user model, a course model, and a role model so that users can sign up to take courses through roles then we might want to see the average number of courses users have taken. We can do this with having
.
Just in Time SQL Queries with Active Record
The interface for Active Record has improved dramatically since the early days of rails. See the mechanism behind how we are able to chain together methods to produce SQL queries, and how this same mechanism protects against un-used sql queries from taking up too much time on a page.
Preventing SQL Injection Attacks
As even XKCD knows, SQL injection is an all to real danger to database backed software. Learn how to craft a SQL injection attack inorder to protect your own code by using safe Active Record practices.
Quite possibly the most important skill of any Ruby programmer, reading documentation effectively is critical. We’ll take a look at the Ruby docs for Array which will help quite a bit with the exercise. Sometimes we might want to manipulate the results of our data set after we’ve gotten it back from the database, since returning a collection of objects will return as an Array in Rails, we can
If you liked the videos please take a moment to subscribe to my youtube channel, follow me, @schneems, on twitter, or subscribe to my tumblr blog. If you know someone learning rails for the first time or just looking to get better, a referral to this material would make a huge difference. Thanks for sticking around and have a great week!
Use the docs to get the tests to pass for Arrays, Active Record and Hashes


Servlet Technology Model
Download File
Lifecycle
Lifecycle Servlet
Lifecycle Servlet 2 - with another url mapping
Lifecycle Spring Servlet
Servlet Mapping with UrlServelt
The container looks for matches in this order:
exatch match
directory match
extension match
If the container matches more then one <url-pattern> it chooses the longest mapping.
Exact Mapping: /directory/urlServlet.do
Directory Match: /directory2/*
Extension Match: *.serve
Sending Error from Servlets
Forbidden 403
Not Found 404
Not Acceptable 406
Internal Server Error 500
No Error 200


Projects
ISOLATION ( a game about personal space )
YOUTUBE FREEDOM ( minimalist viewing window for youtube )
TINYFORUM ( a small bulletin board system, written in clojure )
HUSK ( interactive fiction game and platform )
SCRAPS ( minor works... )
{% extends 'layout.html' %} {% block body %}
ISOLATION ( a game about personal space )
YOUTUBE FREEDOM ( minimalist viewing window for youtube )
TINYFORUM ( a small bulletin board system, written in clojure )
HUSK ( interactive fiction game and platform )
SCRAPS ( minor works... )


def sort_targets(targets):
:return: the targets that `targets` depend on sorted from most dependent to least.
roots, inverted_deps = invert_dependencies(targets)
ordered = []
visited = set()
roots = OrderedSet()
inverted_deps = defaultdict(OrderedSet) // target -> dependent targets
visited = set()
path = OrderedSet()
def invert(target):
if target in path:
path_list = list(path)


Click here to manage your merchant settings and apply a withdrawl address for Trajans.
Manage Payment Preferences


Cousin Liz classy enough to win again
Saturday's South Africa (Turffontein/Kenilworth) preview
RACE 1 (1,450M)
(3) AKWAAN needed his last run and should make a bold bid.
(12) TILMEETH wasn't disgraced on debut and the blinkers are off.
(9) AFRICAN DARTER got tired after a rest and will be a lot fitter.
Look for improvement from (5) DUKE Of ABERCORN.
RACE 2 (1,000M)
(2) WATCH ME NOW has solid sprint form and could be hard to beat if on her A-game.
(3) BAD HABIT outran her odds when returning from a break to finish ahead of (4) CYBER BLOSSOM. Both are capable of posing a threat if building on those efforts.
RACE 3 (1,600M)
(14) LUCKY SHAMROCK was a distant second on debut. She will come on heaps from a decent draw.
(5) GUADELOUPE has a wide draw to overcome which could prove costly.
(9) STRAIT WORDS will enjoy the extra distance.
(1) MIDNIGHT TOP will try lead from the jump.
RACE 4 (1,600M)
(13) WHAT A FLIRT will not be a maiden for much longer and will be in the thick of things again. She was ahead of well-related (2) ROCAMADOUR and (4) WHITE LACE last time out and should confirm.
(11) RATTLE MOUSE and (12) SPRINGISINTHEAIR should be involved.
RACE 5 (1,600M)
(7) CORVETTE CAPTAIN did well on debut and will relish the extra distance.
(1) RIVER JORDAN needed his first run. Should be at the finish.
(3) FLYCATCHER is on the up and shouldn't be far back.
(11) TAHITIAN ORANA is improving. The extra trip suits.
RACE 6 (1,800M)
(1) HELEN'S IDEAL will be better for the run after her comeback in a feature.
(2) MIYABI GOLD and (4) DYNASTY'S BLOSSOM haven't been racing since Gold Cup Day but are capable of running well.
(5) PRINCESS IRENE finished behind (7) SNAPSCAN recently but may turn the tables on these terms
RACE 7 (1,600M)
(6) SAINTS ALIVE should be right there if relaxed in front.
(3) AURELIA COTTA has come well and can double up.
(7) ROCKIN RUSSIAN cannot be ignored.
(8) EIGHTFOLDS LASS is honest. Respect.
RACE 8 (1,000M)
(2) GOLDEN TRACTOR won a stronger contest on debut and should see him follow up.
(1) SKIDOO finished 3.55 lengths behind but should pose more of a threat on these terms.
(4) HARDFALLINGRAIN blew his chances at the start last time out and could get in on the action if away on terms.
(5) CAPE OF STORMS may improve to get a look-in.
RACE 9 (1,800M)
(1) YOUCANTHURRYLOVE failed narrowly to complete a hat-trick recently but could resume winning ways.
(13) HAWTHORN impressed when winning second-up and the little extra trip will suit.
(7) TOP RANK wasn't disgraced on his comeback run and must be considered.
(11) JACKMAN disappointed on debut and should do better.
RACE 10 (1,000M)
(1) COUSIN LIZ enjoyed an undefeated juvenile year. She'll be using this as a pipe-opener ahead of a much-anticipated three-year-old campaign. Although she is not fully tuned, could be classy enough to preserve her unblemished record.
(2) HILDEGARDE is a formidable force with blinkers on and is likely to pose the biggest threat.
RACE 11 (1,800M)
(4) APACHE TOO needed his last run and could chalk up a fourth victory.
(6) SKIMINAC is in form and the combo could complete a hat-trick.
(2) OWLINTHETREE has ability.
(5) JAMRA has money claims.
RACE 12 (1,600M)
(1) AFRICAN WARRIOR caught the eye on his comeback in a Grade 2 feature behind none other than One World. He will be hard to hold out in this Guineas trial.
(6) SEVENTH a strong second string for the stable.
(2) VIVA RIO, (3) MACTHIEF, (4) SNOW REPORT and (5) CANE LIME 'N SODA can get a look-in.
RACE 13 (1,000M)
(3) KING OF THE DELTA is holding form and should give another honest performance.
(4) TOKOLOSH is speedy and could grab a winning lead.
(7) BOATSWAIN could easily win this if ready after a break.
(6) BRIDGE OF SPIES, (2) CERTIFIABLE and (10) ROYAL CAVALIER can place.


Blazers' Anthony to start; Lillard (back) sidelined
Forward Carmelo Anthony officially joined the Portland Trail Blazers on Tuesday, while star guard Damian Lillard sat out with back spasms.
“Carmelo is an established star in this league that will provide a respected presence in our locker room and a skill set at a position of need on the floor,” said Blazers president of basketball operations Neil Olshey.
The Trail Blazers activated Anthony prior to Tuesday’s game against the New Orleans Pelicans. Coach Terry Stotts told reporters Anthony would start at power forward and play about 20 minutes.
“If he was ready to start, he was going to start,” Stotts said.
Lillard was scratched due to the back soreness he has dealt with for close to a week. Lillard is just 10-for-46 shooting over the past three games.
It wasn’t immediately known whether Lillard will miss more than one game. He is averaging 28.6 points and 7.1 assists in 14 games.
According to reports, Anthony’s one-year, non-guaranteed contract is worth up to $2.15 million.
The 10-time All-Star has not played a game in the NBA since Nov. 8, 2018 with the Houston Rockets. Houston traded him to Chicago on Jan. 22 and the Bulls waived him on Feb. 1.
Anthony, 35, holds career NBA averages of 24.0 points, 6.5 rebounds, 3.0 assists and 1.02 steals in 1,064 games (1,056 starts) over 16 seasons with Denver, New York, Oklahoma City and Houston.
The Blazers granted Anthony’s request to return to the league in uniform number 00 and he is expected to provide offense for Portland.
—Field Level Media


Thanks for downloading Photon. This is an example HTML page that's linked up to compiled Photon CSS, has the proper meta tags and the HTML structure.


The audio spatializer SDK is an extension of the native audio plugin SDK that allows changing the way audio is transmitted from an audio source into the surrounding space. The built-in panning of audio sources may be regarded as a simple form of spatialization in that it takes the source and regulates the gains of the left and right ear contributions based on the distance and angle between the AudioListener and the AudioSource. This provides simple directional cues for the player on the horizontal plane.
With the advent of virtual and augmented reality systems the spatialization method more and more becomes a key component of the player’s immersion. Our ears and brains are highly aware of microscopic delays between the sound received from a source at the left and right ears respectively. Furthermore we are capable of unconsciously interpreting a change in the balance of high frequencies to tell if an object is in front of, behind or even above or below us. We may also be able to tell if an object is partially occluded based on the difference in the sound at each ear or infer something about the shape of the room that we are in based on the reflections of the sound. In other words: Sound is extremely important in our daily navigation, we just maybe don’t notice it that much!
Sound occlusion is a very hard problem to solve in terms of computation power. Whereas in global illumination you may consider the movement of light as effectively instantaneous, sound is moving very slowly. Therefore calculating the way sound actually moves around (as waves) in a room is not feasible computationally. For the same reason there are many approaches towards spatialisation tackling different problems to various extents.
Some solutions are only solving the HRTF problem. HRTF stands for Head-Related Transfer Function, and a rough analogy to this from the graphics world would be spherical harmonics: i.e. a directionally influenced filtering of the sound that we apply on both ears which contains the micro-delay between the ears as well as the directional filtering that ear-flaps, the head itself and the shoulders contribute to. Adding HRTF filtering already immensely improves the sensation of direction over a conventional panning solution (a typical and famous example of this is the binaural recording of the virtual barber shop). Direct HRTF is somewhat limited though as it only is concerned with the direct path of audio and not how it is transmitted in space.
Occlusion is the next step up from this in that it can indirectly reflect the sound off walls. To take a rough equivalent from the graphics world again, this could be compared to specular reflection in the sense that both source and listener locations determine the outcome, and of course each reflected directional wave of sound hits each ear with a different HRTF and has a different delay based on the length of the path that the wave has travelled.
Finally there is room reflections which in many ways corresponds to the diffuse part of a global illumination solution in that sound gets emitted into the room and is reflected on multiple walls before hitting the ears as a field of overlapping waves, each with a different direction and accumulated delay relative to the audio source.
With so many hard problems to solve there exist a variety of different audio spatialization solutions. We found that the best way to support these in Unity was to create an open interface, the Audio Spatializer SDK, which is an extension on top of the Native Audio Plugin SDK that allows replacing the standard panner in Unity by a more advanced one and gives access to important meta-data about the source and listener needed for the computation.
An example implementation of a spatializer is provided here. It is intentionally simple in that it only supports direct HRTF and needs to be optimized for production use. Accompanying the plugin is a simple reverb, just to show how audio data can be routed from the spatializer plugin to the reverb plugin. The HRTF filtering is based on the KEMAR data set, which is a set of per-ear impulse response recordings performed on a dummy head by Bill Gardner at MIT Media Lab. These impulse responses are convolved with the input signal using fast convolution via the Fast Fourier Transform. The positional meta-data is only used for picking the right impulse response sets, as the data set consists of circularly arranged impulse responses for elevation angles ranging from –40 below to 90 degrees above the head.
The main difference between a spatialization effect and mixer effects in Unity is that the spatializer is placed right after the audio source decoder that produces a stream of audio data so that each source has its own effect instance processing only the audio produced by the source. This is different from audio mixer plugins that process a mixture of audio from various audio sources connected to a mixer group. To enable the plugin to operate like this it is necessary to set a flag in the description bit-field of the effect:
definition.flags |= UnityAudioEffectDefinitionFlags_IsSpatializer;
Setting this flag upon initialization notifies Unity during the plugin scanning phase that this is a spatializer and so, when an instance of this plugin is created, will allocate the UnityAudioSpatializerData structure for the spatializerdata member of the UnityAudioEffectState structure.
Before being able to use the spatializer in the project, it needs to be selected in the Audio Project settings:
On the AudioSource, the checkbox Spatialize enables the spatializer to be used. This may also be controlled from script via the AudioSource.spatialize property. In a game with a lot of sounds it may make sense to only enable the spatializer on the nearby sounds and use traditional panning on the distant ones.
Unlike other effects that are run in the mixer on a mixture of sounds, spatializers are applied directly after the AudioSource has decoded audio data. Therefore each instance of the spatializer effect has an own instance of UnityAudioSpatializerData associated with mainly data about the AudioSource.
struct UnityAudioSpatializerData
{
float listenermatrix[16]; // Matrix that transforms sourcepos into the local space of the listener
float sourcematrix[16]; // Transform matrix of audio source
float spatialblend; // Distance-controlled spatial blend
float reverbzonemix; // Reverb zone mix level parameter (and curve) on audio source
float spread; // Spread parameter of the audio source (0..360 degrees)
float stereopan; // Stereo panning parameter of the audio source (-1: fully left, 1: fully right)
// The spatializer plugin may override the distance attenuation in order to
// influence the voice prioritization (leave this callback as NULL to use the
// built-in audio source attenuation curve)
UnityAudioEffect_DistanceAttenuationCallback distanceattenuationcallback;
};
The structure contains the full 4x4 transform matrices for the listener and source. The listener matrix has already been inverted so that the two matrices can be easily multiplied to get a relative direction-vector. The listener matrix is always orthonormal, so the inverse is cheap to calculate. Furthermore the structure contains fields corresponding to the properties of the audio source: Spatial Blend, Reverb Zone Mix, Spread and Stereo Pan. It is the responsibility of the spatializer to implement these correctly, as when it’s active, Unity’s audio system will only provide the raw source sound as a stereo signal (even when the source is mono or multi-channel in which case up- or down-mixing is used).
The sourcematrix field contains a plain copy of the transformation matrix associated with the AudioSource . For a plain AudioSource on a game object that is not rotated that will just be a translation matrix where the position is encoded in elements 12, 13 and 14. The listenermatrix field contains the inverse of the transform matrix associated with the AudioListener. This makes it very convenient to determine the direction vector from the listener to the source like this:
float dir_x = L[0] * S[12] + L[4] * S[13] + L[ 8] * S[14] + L[12];
float dir_y = L[1] * S[12] + L[5] * S[13] + L[ 9] * S[14] + L[13];
float dir_z = L[2] * S[12] + L[6] * S[13] + L[10] * S[14] + L[14];
where L is listenermatrix and S is sourcematrix. If you have a listenermatrix that is not rotated and has uniform scaling of 1 (camera matrices should never be scaled), notice that the position in (L[12], L[13], L[14]) is actually the negative value of what you see in Unity’s inspector. This is because listenermatrix is the inverse of the camera’s transformation matrix. If the camera had also been rotated we would not be able to read the positions directly from the matrix simply by negating, but would have to undo the effect of the rotation first. Luckily it is easy to invert such Transformation-Rotation-Scaling matrices as described here, so what we need to do is transpose the top-left 3x3 rotation matrix of L and calculate the positions like this:
float listenerpos_x = -(L[0] * L[12] + L[ 1] * L[13] + L[ 2] * L[14]);
float listenerpos_y = -(L[4] * L[12] + L[ 5] * L[13] + L[ 6] * L[14]);
float listenerpos_z = -(L[8] * L[12] + L[ 9] * L[13] + L[10] * L[14]);
The only thing that is still handled by the Unity audio system is the distance attenuation, which is applied to the sound before it enters the spatialization stage, and this is necessary so that the audio system knows the approximate audibility of the source, which can be used for dynamic virtualization of sounds based on importance in order to match the user-defined Max Real Voices limit. Since this is a chicken-and-egg problem this information is not retrieved from actual signal level measurements but corresponds to the combination of the values that we read from the distance-controlled attenuation curve, the Volume property and attenuations applied by the mixer. It is however possible to override the attenuation-curve by your own or use the value calculated by the AudioSource’s curve as a base for modification. To do this there is a callback in the UnityAudioSpatializerData structure that may be implemented:
typedef UNITY_AUDIODSP_RESULT (UNITY_AUDIODSP_CALLBACK* UnityAudioEffect_DistanceAttenuationCallback)(
UnityAudioEffectState* state,
float distanceIn,
float attenuationIn,
float* attenuationOut);
A simple custom logarithmic curve may just be implemented like this:
UNITY_AUDIODSP_RESULT UNITY_AUDIODSP_CALLBACK SimpleLogAttenuation(
UnityAudioEffectState* state,
float distanceIn,
float attenuationIn,
float* attenuationOut)
{
const float rollOffScale = 1.0f; // Similar to the one in the Audio Project Settings
*attenuationOut = 1.0f / max(1.0f, rollOffScale * distanceIn);
return UNITY_AUDIODSP_OK;
}
Complementing the native side there are also two new methods on the AudioSource that allow setting and getting parameters from the spatializer effect. These are named SetSpatializerFloat/GetSpatializerFloat and work similarly to the SetFloatParameter/GetFloatParameter used in the generic native audio plugin interface. The main difference is that SetSpatializerFloat/GetSpatializerFloat take and index to the parameter to be set/read whereas SetSpatializerFloat/GetSpatializerFloat refer to the parameters by name.
Additionally the boolean property AudioSource.spatializer is linked to the checkbox in the AudioSource inspector and controls the instantiation and deallocation of the spatializer effect based on the selection in the Audio Project Settings. If instantiation of your spatializer effect is a very costly thing (in terms of memory allocations, precalculations etc) you may consider keeping the Unity plugin interface bindings very light-weight and dynamically allocate your effects from a pool so that the activation/deactivation does not lead to frame drops.
Due to the fast convolution algorithm used, moving fast causes some zipper artefacts which can be removed though the use of overlap-save convolution or cross-fading buffers. Also the code does not support tilting the head to the side, this should be easy to fix though. The KEMAR data set is the only data set used in this demo. IRCAM has a few data sets available that were obtained from human subjects.


The Hexagon MC Official Minecraft Server!
There are six members of Hexagon MC, so we named ourselves Hexagon MC.
There are only six main members (thus hexagon) and a few non-member players as well!


When you hit the button the js will append the html to add new li and display the numbers in the array.
When you hit the button the js will append the html to add new li and display the names in the array.
When you hit the button the js will append the html to add new li and display the numbers in the array.
When you hit the button the js will append the html to add new li and display the names in the array.


My page
How to Cheat on Flappy Cube
Just hold up
Amazing links
link to an amazing page link to a just as good page
What hobbies am I interested in
Good game
You have 0 fish
fish.com
Pond: 15 fish
Fisherman: 100 fish
coral reef: 150
coral the great barrier reef: 200
I am soooooooooooooooooooooooooooooooooo talented


The ngModel
directive binds an input
,select
, textarea
(or custom form control) to a
property on the scope using NgModelController,
which is created and exposed by this directive.
ngModel
is responsible for:
input
, textarea
or select
require.ng-valid
, ng-invalid
, ng-dirty
, ng-pristine
) including animations.Note: ngModel
will try to bind to the property given by evaluating the expression on the
current scope. If the property doesn't already exist on this scope, it will be created
implicitly and added to the scope.
For best practices on using ngModel
, see:
For basic examples, how to use ngModel
, see:
The following CSS classes are added and removed on the associated input/select/textarea element depending on the validity of the model.
ng-valid
is set if the model is valid.ng-invalid
is set if the model is invalid.ng-pristine
is set if the model is pristine.ng-dirty
is set if the model is dirty.Keep in mind that ngAnimate can detect each of these classes when added and removed.
Animations within models are triggered when any of the associated CSS classes are added and removed
on the input element which is attached to the model. These classes are: .ng-pristine
, .ng-dirty
,
.ng-invalid
and .ng-valid
as well as any other validations that are performed on the model itself.
The animations that are triggered within ngModel are similar to how they work in ngClass and
animations can be hooked into using CSS transitions, keyframes as well as JS animations.
The following example shows a simple way to utilize CSS transitions to style an input element that has been rendered as invalid after it has been validated:
//be sure to include ngAnimate as a module to hook into more //advanced animations .my-input { transition:0.5s linear all; background: white; } .my-input.ng-invalid { background: red; color:white; }
<input>
...
</input>
<script>
function Ctrl($scope) {
$scope.val = '1';
}
</script>
<style>
.my-input {
-webkit-transition:all linear 0.5s;
transition:all linear 0.5s;
background: transparent;
}
.my-input.ng-invalid {
color:white;
background: red;
}
</style>
Update input to see transitions when valid/invalid.
Integer is a valid value.
<form name="testForm" ng-controller="Ctrl">
<input ng-model="val" ng-pattern="/^\d+$/" name="anim" class="my-input" />
</form>


Posted on June 19, 2018
After creating my own personal web page on github.io, I received a lot of comments of people asking me how could they create their own. With this article I want to give you a quick guide on how to create your own. Keep in mind this article is aimed at someone with a beginner level or zero knowledge of web programming who want to have a nice website in as little time as possible, if you are a web developer with a lot of experience, you may be able to do fancier things than what I’m explaining in this article.
I chose to upload my website to github.io because it’s a totally free server which requires almost zero maintenance through the lifetime of the website. So basically you have to take some time at the beginning to create the website (a couple of hours is enough) and then you can forget about it.
However, it also has some limitations. The web pages are static which means whatever you post is and always will be what the visitor sees. Because of that, things like a comment section are not possible since they would need some processing on the server side, which is something github.io is not offering right now.
First of all you have to be able to use Git and Github in order to upload your website to the Github servers.
Then you will need some basic knowledge of HTML in order to make changes on the template we’ll be using. If you don’t know anything about it, you can use your common sense to make changes on the code based on what text you want to change.
If you are a programmer who doesn’t have experience with some of these technologies, it won’t be difficult for you to learn enough of all of them to be able to use them to create your own personal page.
If you are not capable of creating the website yourself, I offer professional services for creating it. Contact me by sending me a message on Linkedin.
In this section I will assume you already have a Github account. If you don’t have one, create one and follow the next steps.
First of all create a Github repository called <username>.github.io
In this repository you will store all the files of the web page.
Now let’s choose a template to use for your page. I recommend using a bootstrap template since it will make your page responsive (it will change the layout according to the size of the screen you are using to see the page, adapting it to talbets and phones). You can just google “bootstrap templates” and will get a ton of results, however I recommend using this page since it gives live previews of the template before downloading them.
Choose a template that you like and has all the elements you need. Unless you have knowledge on web developing or are willing to learn, it will be difficult for you to make any changes other than texts.
Once you have decided your template, it’s time to unzip the template and upload it to Github. On your browser go to your personal page <username>.github.io to make sure everything is working. You should get a page exactly as the live preview of the template.
Now make changes on all the texts and images of the page by editing the index.html file and upload those changes to Github.
You can access your page from the internet now and share your creation with the world.


--- layout: page title: Misc date: 2015-07-30 22:22:13.000000000 -04:00 type: page parent_id: '' published: true status: publish categories: [] tags: [] meta: {} author: ---
Simple modelling of dozens of similar but distinct types of data? Check!
Sophisticated pre-defined queries? Of course!
Flexible user-defined queries? Naturally.
Long-running distributed tasks launched, managed and tracked? Oh yeah!
Flexible, powerful and easy-to-manage security? It's baked in.
Why did we build the xnlogic platform?
Darrick, the co-founder of xnlogic has been developing business solutions for 15 years, and in that time he has seen the need for the same pieces of foundational software over and over again. We'll let him explain his motivations in his own words.
Each time I've built those same pieces, my frustration increased that instead of being able to tackle the most valuable and interesting parts of the project, I had to solve the same basic problems. And despite using a variety of the most popular and innovative tools, they really did only a very small part of the job - the easiest part - before leaving me on my own to solve the most challenging aspects of these same problems on my own. Despite being extremely commonplace, there are no simple solutions to these problems.
An API for a real-world data model.
APIs are usually flat, and that's a huge limitation because the world is round. Imagine a simple project management system. Let's look at a PM. Every API will give you that. Let's see all of the projects she is managing. Okay, now we're


This inspection checks types of variables used in ranges. They must contain methods 'next' and 'previous' and implement interface 'java.lang.Comparable'
Powered by InspectorGroovy


Postal Internal Technology Group - Futuresu Akira, Official Senior Class 2015, Undergraduate Yu Self - Technical Group. Major business practices Government type Typical rejected business type.
When I entered this technical team, the front-end technology stack here is still in a relatively backward stage, using jsp nested html mode. I came in and changed the front-end technology stack here, using the front-end separation mode of VUE.
EMS
EMS-trainer
In 2018, I conducted several technical trainings. Share your knowledge of the technology stack with your team's colleagues and share some cutting-edge technologies. During the year, my training was recognized by my colleagues and was named the “Best Trainer”.
EMS
DataCenter
Data center management background centralizes all EMS data management
EMS
Xiaoyou House
We will open the WeChat public account, referred to as the Xiaoyou home. Providing services from various cities, users can find the business they need to handle through this portal. A public number integrates all the pages for the convenience of the user.
VUEEMS
EMS POST
The new delivery project is one of the most important strategies of China Post in 19 years. In order to achieve a better delivery experience, this project is given high hopes. I am the front-end person in charge of this project, responsible for the front-end architecture to build and solve the difficulties.
VUEEMS
EMS CheckMail
The check function module is one of the most important functions of the current delivery project. Our check function is similar to similar products, and our functional experience is better.
VUEEMS
Member Activities
The Grand Carousel is a member-only event that allows members to receive benefits. Members can take three free copies per day, and of course they can also use points.
JS
inrice (趣米)
"Inrice" is a digital marketing company that divides these departments: operations, development, planning, and products. I am involved in front-end R&D work in the development department.
Inrice
清远移动（业务预约平台）
The reservation platform is a business branch of Qingyuan Mobile. Users can choose the business they want to handle on this platform to make an appointment. The front-end technology of this project uses vue, and the functions are dynamically configured.
The flop is an event of the Pudong Credit Card Public Number, which is used to attract fans to apply for credit cards. The style of this event is dynamically configured, and the winning threshold is based on the minimum number of invites from the back end.
JS
SAE
The SAE project is an event registration platform of the China Music Association. Throughout the country, you can choose your own music project to register, including piano level examination, grade certification, and training classes.
JS
Assisting activity
Power-assisting activities, strong ability to absorb powder, each time a user is invited to help click on the power, you can get the corresponding prize. The technical difficulty of this activity is to make a smooth treatment at every corner.
JS
WeiPlus
Weplus is a set of WeChat public number h5 products based on back-end rendering, one of which is store navigation. This function mainly uses Baidu map, according to the distance of the store and the current location of the user, to screen the nearest store for the user.


SanDisk’s Extreme 1TB ‘4K Ready’ microSD Card Gets an Insane $150 Discount
by Omar SohailA lot of modern-day smartphones feature gobs and gobs of storage but for the ones that don’t, there are always expandable microSD cards from companies like SanDisk. If your handset supports a 1TB microSD card, then you’ll absolutely love the company’s Extreme 1TB variant, which gets a massive $150 discount right over at Amazon. With the latest price cut, the SanDisk Extreme 1TB microSD card now costs $299.99, giving you ample storage in a form factor that’s as big as your fingernail. See how fast technology has come.
SanDisk Is a Reliable Name When It Comes to Storage
If you’re asking yourself, what’s so special about this storage card, well for starters, it’s 4K ready. What that means is the SanDisk Extreme 1TB microSD card can reach up to 160MB/s read speeds and 90MB/s write speeds for seamless 4K video recording from your smartphone, camera, or drone.
This is made possible thanks to the UHS Speed Class 3 (U3) and Video Speed Class 30 (V30). In short, your videos won’t be laggy or skip a few frames because the high read and write speeds of the storage card will easily be able to keep up with the demanding bitrate of 4K video recording.
Reliability is also a concern that a lot of customers display when making a purchase. Thankfully, the SanDisk Extreme 1TB microSD card has been tested in various controlled environments to make it a more resilient product. It can withstand higher temperatures, it’s water-resistant, shock-proof and X-ray proof.
SanDisk also provides a manufacturer lifetime warranty and looking at all the safety measures incorporated, it’s highly unlikely that you’ll run into problems down the road. We’ve also included lower-capacity microSD cards belonging to the same SanDisk speed class so if you feel 1TB of expandable storage will be a little overkill, you can always opt for the others.


Nelson Mandela
The man who led the walk to freedom
Mandela is also referred to by his Xhosa clan name, Madiba, and described as the "Father of the Nation"
Personal details
Born Rolihlahla Mandela
18 July 1918 in Mvezo, Cape Province, South Africa
5 December 2013 (aged 95) in
Johannesburg, Gauteng, South Africa
Cause of death: Respiratory infection
Resting place: Mandela Graveyard Qunu, Eastern Cape, South Africa
Political party: African National Congress
Other political affiliations: South African Communist Party
Spouse(s): Evelyn Ntoko Mase(m. 1944; div. 1958)
Madikizela (m. 1958; div. 1996)
ça Machel (m. 1998)
Children: 6 (including Makgatho, Makaziwe, Zenani and Zindziswa)
Parents: Nosekeni Fanny and Gadla Henry Mphakanyiswa
Alma mater:
University of Fort Hare
University of London
University of South Africa
University of the Witwatersrand
Occupation:
Activist
Politician Philanthropist Known for Anti-Apartheid Movement
Awards
Prize (1988)
Bharat Ratna (1990)
Nishan-e-Pakistan (1992)
Nobel Peace Prize (1993)
Order of Lenin
Presidential Medal of Freedom
(hundreds more...)
Notable work(s): Long Walk to Freedom
Website: nelsonmandela.org
Nickname(s)
Madiba Dalibunga


This is the Polymer element which allow you to display thumbnail image over YouTube embed iframe on your web page.
Main issues that this elemene is able to solve is:
If you have interested in usign this element, please visit the GitHub repository and see README.md for more detail.
Thank you!!
To play from 1:38 by auto play.
To play from its begining without auto play and controller displays.
To play from 10 with AutoPlay and displaying info without controller.


Adding alarms will give you a way to alert either yourself or your entire raid group about raid times.
0" class="m-0 text-center">You haven't added any alarms yet.


Houston, we have dessert: An oven and some cookie dough were sent to space
by Susan GonzalezHouston, we have a cookie.
Astronauts aboard the International Space Station will be able to attempt baking for the first time as a spacecraft carrying a zero-gravity oven and some cookie dough arrived Monday.
The dough comes from none other than DoubleTree by Hilton, the makers of arguably one of the most infamous chocolate chip cookies. The oven was made by Zero G Kitchen, who describe themselves as "a platform for food development in space."
"Zero-G Oven explores the possibility and challenges of baking fresh meals in a microgravity environment," a description of the NASA experiment says. "Investigators explore how to heat, then cool the space oven in a manner that is safe for all crew member interaction."
But it's not all science and heat transfer data. The experiment notes that being able to bake in space could also help astronauts — psychologically and physically — because they would be able to get more flavorful and nutritious meals in space if they're able to cook at zero gravity.
The delicious experiment will involve testing the oven to see how zero gravity and high heat affect the baking process and, specifically, what effect they have on cookies. The Zero-G oven, which uses electrical heat like a toaster, can reach up to 363.3 degrees Celsius, or nearly 686 degrees Fahrenheit.
Hopefully they have oven mitts in space.


Contains some implementations of Singular Spectrum Analysis (SSA) for the gapfilling and spectral decomposition of time series. It contains the code used by Buttlar et. al. (2014), Nonlinear Processes in Geophysics. In addition, the iterative SSA gapfilling method of Kondrashov and Ghil (2006) is implemented. All SSA calculations are done via the truncated and fast SSA algorithm of Korobeynikov (2010) (package 'Rssa').
| Version: | <IP_ADDRESS> |
| Depends: | R (≥ 3.0.0) |
| Imports: | Rssa (≥ 0.11), raster, nnet, abind, RNetCDF, ncdf.tools, foreach, JBTools, DistributionUtils, RColorBrewer |
| Published: | 2015-06-02 |
| Author: | Jannis v. Buttlar |
| Maintainer: | Jannis v. Buttlar <jbuttlar at bgc-jena.mpg.de> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | spectral.methods results |
| Reference manual: | spectral.methods.pdf |
| Package source: | spectral.methods_<IP_ADDRESS>.tar.gz |
| Windows binaries: | r-devel: spectral.methods_<IP_ADDRESS>.zip, r-release: spectral.methods_<IP_ADDRESS>.zip, r-oldrel: spectral.methods_<IP_ADDRESS>.zip |
| OS X binaries: | r-release: spectral.methods_<IP_ADDRESS>.tgz, r-oldrel: spectral.methods_<IP_ADDRESS>.tgz |
| Old sources: | spectral.methods archive |
Please use the canonical form https://CRAN.R-project.org/package=spectral.methods to link to this page.


Pair programming is working together with another person in the same project or program or anything else you want really.
Pair programming is important to DBC because they want to prepare us for the real world and on the real world you pair program a lot. There is also empathy and teaching how to be a good teamplayer.
The driver is the on who is going to be doing most or all of the code, focusing on that matter mostly while the navigator will be focusing the whole picture and thinking about the next steps.
So far pair programming has been a joy because you can count on your partner to help you or maybe guide you and the other way around, it helps you connect and improves your teamwork.
It was a great pairing session, we managed the time perfectly (finished in exactly 1 hour) and we both could drive and navigate for about the same time. Neither of us struggled during the session and we got the result we expected, we thought of somethings to improve by the end of the session but we were both really satisfied with our work!


ChatLayout
Table of contents
About
ChatLayout
is an alternative solution to MessageKit. It uses custom
UICollectionViewLayout
to provide you full control over the presentation as well as all the tools available in
UICollectionView
.
Features
- Supports dynamic cells and supplementary view sizes.
- Animated insertion/deletion/reloading/moving of the items.
- Keeps content of the last visible item at the top or bottom of the
UICollectionView
during updates. - Provides tools for precise scrolling to the required item.
- Shipped with generic container views to simplify the custom items implementation.
What ChatLayout doesn’t provide (And why it is good)
ChatLayout
is the custom UICollectionViewLayout
, so:
You don’t have to extend or override any custom
UIViewController
orUICollectionView
. You need to instantiate them yourself and use them the way you like.ChatLayout
does not rely on modifiedUICollectionViewFlowLayout
nor does it rotate yourUICollectionView
upside-down. This means you can use your views as if they would be regular cells withinUICollectionView
. You can benefit from using the defaultUIKit
implementations ofadjustedContextInsets
(and others) because your view controller is a normal view controller without any hacks or tricks.ChatLayout
doesn’t require you to calculate all the cell sizes before it renders them on the screen. You can fully use auto-layout constraints and rely on the fact that the correct size will be calculated in the runtime. However,ChatLayout
as any otherUICollectionViewLayout
will benefit from you providing the estimated sizes of your cells as it will allow you to get better performance.ChatLayout
doesn’t enforce you to use any specific data model. You can store your messages and updateUICollectionView
the way you like. The only thing you need is to respect the natural boundaries thatUICollectionView
have and correctly implementUICollectionViewDataSource
. The Example app uses DifferenceKit to process changes in the data model.ChatLayout
doesn’t enforce you to use any specificUIView
s to create your collection cells. You can create them the way you like. It can be anyUICollectionViewCell
orUICollectionReusableView
. There are some genericUIView
s bundled with the library that may help you to build them faster. However, you do not have to use them.ChatLayout
doesn’t handle the keyboard appearance behavior. You have to implement that yourself from scratch or use the library you are already using in your project.  The only thing you have to do is to update thecontentInsets
of yourUICollectionView
.ChatLayout
doesn’t provide you any input control. You can use any one you like and customise it the way you like. The Example app for instance uses InputBarAccessoryView.
Example
To run the example project, clone the repo, and run pod install
from the Example directory first.
Installation
ChatLayout
is available through CocoaPods, Carthage
and SwiftPM. See the Example
app for the usage details.
If you are using cocoapods you can install the whole package using pod 'ChatLayout'
. If you do not need the additional
components provided, you can install only the layout itself using pod 'ChatLayout/Core'
Contributing
ChatLayout
is in active development, and we welcome your contributions.
If you’d like to contribute to this repo, please read the contribution guidelines.
Todo
- [ ] Improve the test coverage
About UICollectionViewDiffableDataSource
ChatLayout
can process any update commands that you send to your UICollectionView
, so you can use
UICollectionViewDiffableDataSource
as well. But you have to keep in mind that UICollectionViewDiffableDataSource
does not support the reloading of cells out of the box if you are relying on the Hashable
protocol implementation.
It will delete the changed cell and insert the new version of said cell. That may lead to strange animations on
the screen, especially when the reloaded cell changes its size. In order to get the best behaviour of the update animation
I would strongly recommend you rely on DifferenceKit or a similar library
to process the model changes. The Example app does it as well.
About Supplementary Views
It can be tempting and it may look like it is the right way to go, but do not use supplementary views to decorate your
messages or groups of them. UICollectionView
processes them in a different order: UICollectionViewCell
s first and
only after switches to UICollectionReusableView
s. You will most likely face some unexpected behaviour during the animation.
About Texture
ChatLayout
can be used together with Texture to improve the auto-layout performance.
But keep in mind that it’s default wrapper is hardcoded to work exclusively with UICollectionViewFlowLayout
.
See issue.
You will have to implement ChatLayoutDelegate
yourself and propagate the node size manually.
About animation
If you see a strange or unexpected animation during the updates, check your data model and the commands you send to the
UICollectionView
‘s performBatchUpdates
. Especialy if you are using some diffing algorithms like DifferenceKit.
It is very possible that you are sending delete/insert commands when you expect to see reload. The easiest way to check it is by adding
print("\(updateItems)")
into ChatLayout.prepare(forCollectionViewUpdates:)
method. ChatLayout
doesn’t know what you expected to see.
It just processes your changes according to the commands it has received.
License
ChatLayout
is distributed under the MIT license.
ChatLayout
is provided for your use, free-of-charge, on an as-is basis. We make no guarantees, promises or
apologies. Caveat developer.
Articles
English:
Russian:
Author
Evgeny Kazaev<EMAIL_ADDRESS>Twitter ekazaev
I am happy to answer any questions you may have. Just create a new issue.


About our system
Online hotel and resturant reservations became a popular method in modern society. We Reserve.lk provide you the easiest way to make your reservation through our mobile app.


WTF JS
Event Loop basics
Floating point numbers
Handling dependencies
Angular vs React
Clean Code in Javascript
Refactoring imperative to functional