This reference guide is an alphabetical listing of the header files, classes, containers, algorithms, iterators, and other constructs of the Apache C++ Standard Library Module. The entry for each class includes:
An illustration showing the inheritance hierarchy, or the general category to which the class belongs
A brief summary of the class functionality
A synopsis indicating the header file(s) associated with the class
A description of the class
The C++ code that describes the class interface
All methods associated with the class, including constructors, operators, member functions, and so on. These are grouped together and listed alphabetically within each group. These groups are not a part of the C++ language, but they are a useful way to organize information.
Examples and warnings
Entries that are not classes include other appropriate categories of information. In general, there is still a brief summary of the entry's functionality, followed by a more detailed description, and in many cases an example.


#include <le_singlyLinkedList.h>
This is the list object. Create this list object and initialize it by assigning LE_SLS_LIST_INIT to it.


Ocean breeze - by
Faraz Shaikh
Inspired by Studio Ghibli's
Porco Rosso
"Low-poly Propeller Plane"
by RC-Studios is licensed under
Creative Commons Attribution-NonCommercial.


--- layout: post title: "Tensorflowjs Playground" date: 2020-02-16 categories: FewShotLearning tags: ["Few_Shot_Learning"] ---
Here is the test for input a image by user, then classify them by loaded keras model


MEET KURI
What Kuri can do for you!
Moves around your home effortlessly
Learns your home floorplan and recognizes individual rooms
Listens for your voice, unusual sounds and cand send alerts
Can play music and podcasts
Stay up to date of the future of Kuri!
First name:
last name:
Email:
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Welcome To Our Resturant.
Serving you the Best Items.
Assuring You the Finely Grained Ingredients.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum.
DownloadIt is a long established fact that a reader will be distracted by the readable content of a a long established fact that a reader will be distracted by the readable content of a page when page when looking at its layout. The point of using Lorem Ipsum.
DownloadIt is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum.
DownloadIt is a long established fact that only It is a long established fact that a reader will be distracted by thorem Ipsum. non veg people can eat this so what about veg peoplwe they believe that
DownloadIt is a long established fact that a reader will be It is a long established fact that a reader will be distracted by the readable content of a page when looking t is a long established fact that a reader will be distracted by the readable content of at its layout. The point of using Lorem Ipdistracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum.
DownloadIt is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum.
DownloadIt is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum.
DownloadI Can't Turn Water Into Wine, But I Can Turn Pizza Into Breakfast.


mcfly
A smart command history search and management tool.
Replaces your default shell history search (ctrl-r) with an intelligent search engine providing context and relevance to the commands.
More information: home page
- Print the mcfly integration code for the specified shell:
mcfly init bash|fish|zsh
- Search the history for a command, with 20 results:
mcfly search --results 20 "search_terms"
- Add a new command to the history:
mcfly add "command"
- Record that a directory has moved and transfer the historical records from the old path to the new one:
mcfly move "path/to/old_directory" "path/to/new_directory"
- Train the suggestion engine (developer tool):
mcfly train
- Display help for a specific subcommand:
mcfly help subcommand


{% extends 'base.html'%} {% import 'macros.html' as macro%} {% block styles%} {{ super() }} {% endblock %} {% block content%}
Find your favorite news category and select a source to view news articles


Sample Blog Post
A conversation with Ray Garcia, Jonathan Gold, Evan Kleiman, Bricia Lopez, and Carlos Salgado about the evolving role of Mexican cuisine in LA as culture, ar...
A conversation with Ray Garcia, Jonathan Gold, Evan Kleiman, Bricia Lopez, and Carlos Salgado about the evolving role of Mexican cuisine in LA as culture, art, and craft
Source: Food Icons on the Evolving Role of Mexican Cuisine in LA
Together, critic Jonathan Gold, food scholar Evan Kleiman, and chefs Ray Garcia, Bricia Lopez, and Carlos Salgado have spent more than a lifetime preparing, eating, and writing about Latin American cuisine. Before their recent panel discussion at the Getty, offered in conjunction with Pacific Standard Time, they sat down with us to reflect on the role of Mexican cuisine in the life of Los Angeles and how we might expand our taste buds to go deeper.
SS: As a chef (or critic), do you consider yourself an artist?
EK: Art to me often has an intellectual component. I think of food preparation as a craft–I don’t think of it as art.
RG: My personal approach to food is more of a craftsman. I like having my tools in hand, sort of creating and building, and my approach is much more trial and error. It’s part social scientist, and part repair person or builder. I put food out, and wait for the reaction, and see what we can push, what we can improve.
In the Getty Center auditorium for the recent “There Will Be Food“ panel.
JG: I’m a writer. Some people can call writers artists, some people cannot. In terms of food, there are people who approach cuisine from an art angle. Carlos Salgado is astonishing that way. His food is rooted in Mexican flavors, but there’s this level of abstraction in his food. Is it art as opposed to food? No, it’s food, but it’s being approached in a different way.
CS: The highest point in my life is being with close family and friends, in the backyard over a fire, cooking over the course of many hours, sitting under the sky, and just filling this space with so much warmth. When I’m cooking there, I feel much more like an artist than when I worked in the highest-concept restaurants. They are like museums of food, accessible only with a certain level of literacy on the part of the diner, with a certain level of cultural experience and background.
Tamale with pepitas at Taco María in Costa Mesa
SS: This panel represents Mexican American cuisine in LA. What other kinds of Latin American cuisine or particular dishes from other regions do you like?
JG: El Salvadoreño cooking. It’s very basic, but the ways they use corn and greens and cheese. The fermentations are lovely.
EK: I love Guatemalan tamales, maybe more than Mexican tamales. The masa is often mixed with potato, so it’s much more tender. They’re wrapped in banana leaves, so there’s a different flavor. And the way they are filled is different; often there’s olives or raisins or prunes in them.
BL: I love Peruvian food. Everything from the ceviche to rice and beans, all of the flavors. It has so much depth.
CS: Baja coastal cuisine. The freshness of it–you eat seafood in the morning because it just came in. Very simply prepared, very intense, briny ocean flavors: big clams, oysters, shrimp. Big, big flavors.
SS: If you could recommend one dish or element in Mexican-American cuisine that a total beginner must try, what would it be?
 It takes you back to the permission of childhood, and that joy of just eating that is super direct. There is nothing in between you and the food.
BL: I think mole is a really good one. A lot of people think of it as a chocolate sauce, and yes, it has chocolate, but it also has like 18 other things. I always recommend three things: mole, the barbacoa, and the chiles rellenos at my restaurant, just because I think they are universally delicious.
Dishes at Broken Spanish, in Downtown LA.
CS: I would say try more and different types of chilies, and the salsas that result from them. The range of flavors, and balance of flavors, is really exciting, and is my favorite part of Mexican food.
RG: Put aside your thoughts and limitations on what Mexican food can be, and how much it can cost. Especially in LA, there is almost a cult-like following for cheap Mexican food, for the greasy taco truck. There is something people find exciting about that, but I think it’s good to stop and wonder why your taco costs a dollar. There must be a lot behind it that allows you to eat a dollar taco. It probably doesn’t include a living wage, a safe work environment, or the best quality ingredients for you and your body. We could understand where our food is coming from and be a bit more conscious in our choices.
A conversation with Ray Garcia, Jonathan Gold, Evan Kleiman, Bricia Lopez, and Carlos Salgado about the evolving role of Mexican cuisine in LA as culture, ar...
[문제 사이트 바로가기]
no contents


Class Config
This class provides a convenient way of accessing configuration values set through the plugin's admin interface.
Methods summary
public static
object
|
#
option( string $name, $default = null )
Retrieve a specific option from the wordpress database for this plugin. Note: This is cached once per request.
Retrieve a specific option from the wordpress database for this plugin. Note: This is cached once per request.
Parameters
- $name
- The name of the option
- $default
Returns
object
|
public static
integer
|
#
score( string $type, string $name )
The score given to a data point that determines the impact on search results. May return null if the setttings have not been saved.
The score given to a data point that determines the impact on search results. May return null if the setttings have not been saved.
Parameters
- $type
- The type of wordpress object that is being scored (tax|field)
- $name
- The slug and/or logical name of that type
Returns
integer
|
public static
array
|
#
ranges( string $field )
The numeric ranges that have been defined for a certain field. Example of output:
array(
'-10' => array(
'to' => 10
),
'10-20' => array(
'from' => 10,
'to' => 20
)
)
The numeric ranges that have been defined for a certain field. Example of output:
array(
'-10' => array(
'to' => 10
),
'10-20' => array(
'from' => 10,
'to' => 20
)
)
Parameters
- $field
- The field name to lookup
Returns
array An associative array where the keys represent a slug and values are used for configuration.
|
public static
|
#
apply_filters( )
Behaves exactly like the wordpress apply_filters method except it prefixes every filter with a convention used by this plugin (ie: 'es_').
Behaves exactly like the wordpress apply_filters method except it prefixes every filter with a convention used by this plugin (ie: 'es_').
|
public static
string[]
|
#
fields( )
A list of a fields that are included when indexing data.
A list of a fields that are included when indexing data.
Returns
string[] field names
|
public static
string[]
|
#
facets( )
A list of data points that are used for faceting.
A list of data points that are used for faceting.
Returns
string[] field and/or association names
|
public static
string[]
|
#
types( )
A list of wordpress post types that are used for indexing.
A list of wordpress post types that are used for indexing.
Returns
string[] post type slugs
|
public static
string[]
|
#
taxonomies( )
A list of taxonomies that are used for indexing.
A list of taxonomies that are used for indexing.
Returns
string[] taxonomy slugs
|
public static
string[]
|
#
meta_fields( )
A list of custom fields that are used for indexing.
A list of custom fields that are used for indexing.
Returns
string[] meta keys custom field names
|
Properties summary
public static
|
$options
|
|


Belief Propagation Step by Step¶
Introduction¶
This web application performs belief propagation over Bayesian networks. Its purpose is to illustrate belief propagation step by step: inference can be peformed incrementally so that the user can investigate the content of messages and the values of marginals during execution.
In particular, the user can compute just the next message to be exchanged or perform a full round, i.e., the update of all messages in the network, or run propagation until convergence. If the network is a polytree, after two rounds of propagation the algorithm converges. Otherwise, the propagation algorithm becomes loopy and there is no guarantee of convergence, even if in practice it often converges. The application performs one round by cycling over all nodes and computing the outgoing messages.
With this application the user can design a new Bayesian network, load it from an XMLBIF file, or load a example network. In order to perform propagation, the network is first converted to a factor graph since belief propagation is simpler on factor graphs.
The source code is available at https://github.com/friguzzi/belief-propagation.
- For a treatment of the Belief Propagation algorithm you can look at
- Barber, D. Bayesian Reasoning and Machine Learning, Cambridge University Press, 2012, page 88.
- Koller, Daphne, and Nir Friedman. Probabilistic graphical models: principles and techniques. MIT press, 2009.
- Pearl, Judea. Reverend Bayes on inference engines: A distributed hierarchical approach, AAAI 1982.
Bayesian Network Building¶
Inference One Message at a Time¶
Inference One Round at a Time¶
Loopy Belief Propagation¶
Support¶
Send email to<EMAIL_ADDRESS>Copyright by Fabrizio Riguzzi, Mirko Covizzi e Alan Guerzi.


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If I'm not mistaken, its been two years and seven months since my sister introduced us with each other.
But life is funny coz as time passed by, I started liking everything abou t you and I found the real happiness that's been missing for a long time. Maybe because its been three years that I've been single so I was easily hooked by the emotions. I was very eager, aggressive and fast which made you distance yourself from me. I was stupidly in love? I dunno!
After two months of too much effort for you, I realized something about me. It was not the same me anymore. I can't keep my cool and I suddenly got mad at myself tot he point that I never wanted to see you.
Last year, I swallowed my pride and messaged you coz you're one of the godparents of my nephew. After that, I kept seeing you around lately so I was being friendly until people kept on teasing me. At first I always tell myself that "past is past" and I will not like you again. BUT I was wrong, your smile kills me!
My sister and some friends told me to take it slowly this time and cherish the friendship. We were all good since Christmas but suddenly you were cold. A girl kept on telling things about you everytime I'm near her so I texted you that I heard a rumor about you but you don't wanna talk about it.
I will always be ther for you
Before those, we had planned watching a movie together coz of the pustahan LOL! But now, will it just be a plan? I thought were all good now? I know were just friends but you won't let me help you so I don't know what to do.
What if I never left you before? Will there be a difference?
Maybe, we met again to fix what happened in the past and to be good friends. Well, I'm just a call away.
To my bestfriends who will read this, I know your reaction already.


Open Data File
Enter the Physical File Name (PFN) in the address bar, then press "Enter"
Some examples:
If you are at FNAL, open a data file in dCache at FNAL:
dcap://cmsdca.fnal.gov:24125/pnfs/fnal.gov/usr/cms/WAX/11/store/relval/CMSSW_3_3_0/RelValTTbar/GEN-SIM-RECO/MC_31X_V9-v1/0009/F651D737-75B7-DE11-BDD4-001D09F2512C.root
If you are at CERN, open a data file in castor at CERN:
rfio:/castor/cern.ch/cms/store/relval/CMSSW_3_3_0/RelValTTbar/GEN-SIM-RECO/MC_31X_V9-v1/0009/F651D737-75B7-DE11-BDD4-001D09F2512C.root
If you are at UCSD, open a data file in hadoop at UCSD:
/hadoop/cms/phedex/store/mc/Summer09/Zmumu/GEN-SIM-RECO/MC_31X_V3_SD_Mu9-v1/0003/06AA906F-F0AB-DE11-84C6-001EC9D27680.root


http://www.linkedmodel.org/schema/vaem#GMD_QUDT-DIMENSION-VECTORS
Individual 'vaem:QUDT Dimension Vector Vocabulary Version 2.1'
dcterms:author
-
|
|
Steve Ray
|
|
dcterms:contributor
-
|
|
Steve Ray
|
-
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Jack Hodges
|
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dcterms:created
-
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2019-08-01T16:25:54.850+00:00
|
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dcterms:creator
-
|
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Steve Ray
|
|
dcterms:description
-
|
|
Provides the set of all dimension vectors
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dcterms:modified
-
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2019-10-04T12:30:51.335-07:00
|
|
dcterms:rights
-
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The QUDT Ontologies are issued under a Creative Commons Attribution 4.0 International License (CC BY 4.0), available at https://creativecommons.org/licenses/by/4.0/. Attribution should be made to QUDT.org
|
|
dcterms:subject
-
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DIMENSION-VECTORS
|
|
vaem:dateCreated
-
|
|
2019-08-01T21:26:38
|
|
vaem:description
-
|
|
QUDT Dimension Vectors is a vocabulary that extends QUDT Quantity Kinds with properties that support dimensional analysis. There is one dimension vector for each of the system's base quantity kinds. The vector's magnitude determines the exponent of the base dimension for the referenced quantity kind
|
|
vaem:hasDisciplineScope
-
|
|
All disciplines
|
|
vaem:has domain
-
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|
dimensionVector
|
|
vaem:hasDomainScope
-
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|
Science, Medicine and Engineering
|
|
vaem:has graph role
-
|
vaem:intent
-
|
|
TBD
|
|
vaem:is metadata for
-
|
vaem:latest published version
-
|
|
http://qudt.org/doc/2019/10/VOCAB_QUDT-DIMENSION-VECTORS-v2.1.html
|
|
vaem:logo
-
|
|
http://www.linkedmodel.org/lib/lm/images/logos/qudt_logo-300x110.png
|
|
vaem:namespace
-
|
|
http://qudt.org/vocab/dimension/
|
|
vaem:namespace prefix
-
|
|
qkdv
|
|
vaem:owner
-
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|
qudt.org
|
|
vaem:previous published version
-
|
|
http://qudt.org/doc/2019/08/VOCAB_QUDT-DIMENSION-VECTORS-2.1.html
|
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vaem:revision
-
|
|
2.1
|
|
vaem:specificity
-
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|
1
|
|
vaem:title
-
|
|
QUDT Dimension Vectors Version 2.1
|
|
vaem:turtle file URL
-
|
|
http://qudt.org/2.1/vocab/dimension
|
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vaem:uses non-imported resource
-
-
-
-
-
-
-
-
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skos:exactMatch |
-
-
-
-
-
-
-
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skos:closeMatch |
-
-
-
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vaem:with attribution to
-
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rdf:type
-
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rdfs:label
-
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QUDT Dimension Vector Vocabulary Version 2.1
|
|


Can the floater ignore the dock?
-
kostia
I keep the Synergy floater in the lower-left corner of my screen. I'm using 2.0, and I have the floater positioned in the extreme lower-left corner (so it overlays the Dock). But if the Dock is visible when the floater is first shown, or when the song changes, the floater moves itself up so it's above the Dock. I would really appreciate a preference to make the floater completely ignore the Dock. I keep a lot of palettes open in Adobe programs all day, and I really want the floater to stick where I put it: all the way at the bottom of the screen.
Another program I use all the time, Focus (which puts the active application's icon in a corner of the screen), has this preference and it works great.
-
Greg Hurrell
Reply
This topic is now closed.


TYPO: International Design Talks is an annual event held in Berlin, London, and San Francisco. This promotional project is developed to market the event for the designindustry. The use of patterns, sophisticated color scheme and typography are applied for the print and mobile application.
We utilize a technology called restriction-site associated DNA sequencing, often called RAD-seq, for short. This cutting-edge te


Documentation for this section has not yet been entered.
See Also: Inherited members from object.
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array1 | long[]. Documentation for this section has not yet been entered. |
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array2 | Widget[,]. Documentation for this section has not yet been entered. |
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static readonly
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classCtorError | string[]. Documentation for this section has not yet been entered. |
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DynamicF | Func<Func<string, object, string>, Func<object, Func<System.Object>,System.String>> . Documentation for this section has not yet been entered. |
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message | string . Documentation for this section has not yet been entered. |
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static
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op_Division | Widget . Documentation for this section has not yet been entered. |
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pCount | int*. Documentation for this section has not yet been entered. |
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ppValues | float**. Documentation for this section has not yet been entered. |
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static
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defaultColor | Color . Documentation for this section has not yet been entered. |
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readonly
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monthlyAverage | double . Documentation for this section has not yet been entered. |
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const
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PI | double (3.14159). Documentation for this section has not yet been entered. |
| [read-only] | DynamicP | Func<Func<string, object, string>, Func<object, Func<System.Object>,System.String>> . Documentation for this section has not yet been entered. |
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default property
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Item (int) | int . Documentation for this section has not yet been entered. |
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(Func<Func<string, object>, Func<object, string>>)Documentation for this section has not yet been entered. |
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(char, out float, ref DocValueType)Documentation for this section has not yet been entered. |
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ToEnumerable<T>
(this T)System.Object extension method |
Documentation for this section has not yet been entered.Syntax
public Widget ()Remarks
C:Mono.DocTest.Widget.
M:Mono.DocTest.Widget.#ctor.
Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Widget (Converter<string, string> c)Parameters
Remarks
C:Mono.DocTest.Widget(System.Converter{System.String,System.String}).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Widget (string s)Parameters
- s
- A string.
Remarks
C:Mono.DocTest.Widget(System.String).
M:Mono.DocTest.Widget.#ctor(System.String).
Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
[Mono.DocTest.Doc("Del event")]
[add: Mono.DocTest.Doc("Del add accessor")]
[remove: Mono.DocTest.Doc("Del remove accessor")]
public event Widget.Del AnEventRemarks
E:Mono.DocTest.Widget.AnEvent.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
protected event Widget.Del AnotherEventRemarks
E:Mono.DocTest.Widget.AnotherEvent.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public long[] array1Remarks
F:Mono.DocTest.Widget.array1.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Widget[,] array2Remarks
F:Mono.DocTest.Widget.array2.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public static readonly string[] classCtorErrorRemarks
F:Mono.DocTest.Widget.classCtorError.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- a
- Documentation for this section has not yet been entered.
- b
- Documentation for this section has not yet been entered.
Remarks
M:Mono.DocTest.Widget.Default(System.Int32,System.Int32)Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- a
- Documentation for this section has not yet been entered.
- b
- Documentation for this section has not yet been entered.
Remarks
M:Mono.DocTest.Widget.Default(System.String,System.Char)Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
protected static Color defaultColorRemarks
F:Mono.DocTest.Widget.defaultColor.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- a
- Documentation for this section has not yet been entered.
- b
- Documentation for this section has not yet been entered.
Returns
Documentation for this section has not yet been entered.Remarks
Documentation for this section has not yet been entered.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Dictionary<object, string> Dynamic1 (Dictionary<object, string> value)Parameters
- value
- Documentation for this section has not yet been entered.
Returns
Documentation for this section has not yet been entered.Remarks
Documentation for this section has not yet been entered.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Func<string, object> Dynamic2 (Func<string, object> value)Parameters
- value
- Documentation for this section has not yet been entered.
Returns
Documentation for this section has not yet been entered.Remarks
Documentation for this section has not yet been entered.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Func<Func<string, object>, Func<object, string>> Dynamic3 (Func<Func<string, object>, Func<object, string>> value)Parameters
- value
- Documentation for this section has not yet been entered.
Returns
Documentation for this section has not yet been entered.Remarks
Documentation for this section has not yet been entered.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
[System.Obsolete("why not")]
public event Func<object> DynamicE1Remarks
E:Mono.DocTest.Widget.DynamicE1Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public event Func<object> DynamicE2Remarks
E:Mono.DocTest.Widget.DynamicE2Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Remarks
F:Mono.DocTest.Widget.DynamicFRequirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public Func<Func<string, object, string>, Func<object, Func<System.Object>,System.String>> DynamicP { get; }Value
Documentation for this section has not yet been entered.Remarks
P:Mono.DocTest.Widget.DynamicPRequirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
[Mono.DocTest.Doc("Height property")]
protected long Height { get; }Value
A long value...Remarks
P:Mono.DocTest.Widget.Height.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
This is the default property for this class.
[Mono.DocTest.Doc("Item property")]
[set: Mono.DocTest.Doc("Item property set accessor")]
public int this [int i] { get; set; }Parameters
- i
- TODO
Value
A int instance.Remarks
P:Mono.DocTest.Widget.Item(System.Int32).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
Value
A int instance.Remarks
P:Mono.DocTest.Widget.Item(System.String,System.Int32).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public static void M0 ()Remarks
M:Mono.DocTest.Widget.M0.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
[Mono.DocTest.Doc("normal DocAttribute", Field=true)]
[return:Mono.DocTest.Doc("return:DocAttribute", Property=typeof(Mono.DocTest.Widget))]
public void M1 ([Mono.DocTest.Doc("c", FlagsEnum=System.ConsoleModifiers.Alt | System.ConsoleModifiers.Control)] char c, [Mono.DocTest.Doc("f", NonFlagsEnum=Mono.DocTest.Color.Red)] out float f, [Mono.DocTest.Doc("v")] ref DocValueType v)Parameters
- c
- A char.
- f
- A float.
- v
- A Mono.DocTest.DocValueType.
Remarks
M:Mono.DocTest.Widget.M1(System.Char,System.Signle@,Mono.DocTest.DocValueType@).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
Remarks
M:Mono.DocTest.Widget.M2(System.Int16[],System.Int32[0:,0:],System.Int64[][]).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- x3
- Another long array.
- x4
- A Mono.DocTest.Widget array.
Remarks
M:Mono.DocTest.Widget.M3(System.Int64[][],Mono.DocTest.Widget[0:,0:,0:][]).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- pc
- A char pointer.
- ppf
- A Mono.DocTest.Color pointer.
Remarks
M:Mono.DocTest.Widget.M4(System.Char*,Mono.DocTest.Color**).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
Remarks
M:Mono.DocTest.Widget.M5(System.Void*,System.Double*[0:,0:][]).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
Remarks
M:Mono.DocTest.Widget.M6(System.Int32,System.Object[]).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public void M7 (Widget.NestedClass.Double.Triple.Quadruple a)Parameters
- a
- Documentation for this section has not yet been entered.
Remarks
M:Mono.DocTest.Widget.M7(Mono.DocTest.Widget.NestedClass.Double.Triple.Quadruple).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public string messageRemarks
F:Mono.DocTest.Widget.message.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
protected internal readonly double monthlyAverageRemarks
F:Mono.DocTest.Widget.monthlyAverage.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- x1
- Yet Another Mono.DocTest.Widget.
- x2
- Yay, Mono.DocTest.Widgets.
Returns
A Mono.DocTest.Widget instance (2).Remarks
M:Mono.DocTest.Widget.op_Addition(Mono.DocTest.Widget,Mono.DocTest.Widget).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public static Widget operator/Returns
A Mono.DocTest.Widget instance.Remarks
M:Mono.DocTest.Widget.op_Division.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- x
- Mono.DocTest.Widgets are fun!.
Returns
A int instance.Remarks
M:Mono.DocTest.Widget.op_Explicit(Mono.DocTest.Widget)~System.Int32.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- x
- foo; Mono.DocTest.Widget.
Returns
A long instance.Remarks
M:Mono.DocTest.Widget.op_Implicit(Mono.DocTest.Widget)~System.Int64.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
Parameters
- x
- Another Mono.DocTest.Widget.
Returns
A Mono.DocTest.Widget instance.Remarks
M:Mono.DocTest.Widget.op_UnaryPlus(Mono.DocTest.Widget).Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public int* pCountRemarks
F:Mono.DocTest.Widget.pCount.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Value: 3.14159
Syntax
protected internal const double PIRemarks
F:Mono.DocTest.Widget.PI.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
public float** ppValuesRemarks
F:Mono.DocTest.Widget.ppValues.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
[Mono.DocTest.Doc("Width property")]
[get: Mono.DocTest.Doc("Width get accessor")]
[set: Mono.DocTest.Doc("Width set accessor")]
public int Width { get; protected set; }Value
A int value...Remarks
P:Mono.DocTest.Widget.Width.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
protected internal short X { set; }Value
A short value...Remarks
P:Mono.DocTest.Widget.X.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>
Documentation for this section has not yet been entered.Syntax
protected internal double Y { get; set; }Value
A double value...Remarks
P:Mono.DocTest.Widget.Y.Requirements
Namespace: Mono.DocTest
Assembly: DocTest (in DocTest.dll)
Assembly Versions: <IP_ADDRESS>


This is Words and Buttons Online — a collection of interactive #tutorials, #demos, and #quizzes about #mathematics, #algorithms and #programming.
You probably know this story. An Indian king summons the inventor of chess. "I really like your game and I want to reward you. What do you want as a reward?"
"Not much", replies the inventor. "Just put a single grain of rice on the first cell of the chessboard. Put two grains on the second one. Then put four on the third. Then eight on the fourth."
"Go on", says the king.
"Then 16 on the 5th. Then 32 on the 6th. Then 64 on the 7th. Then 128 on the 8th. Then 256 on the 9th. Then 512 on the 10th. Then 1024 on the 11th. Then 2048 on the 12th. Then 4096 on the 13th. Then 8192 on the 14th."
"Please, continue", says the king.
"Then 16,384 on the 15th. Then 32,768 on the 16th. Then 65,536 on the 17th. Then 131,072 on the 18th. Then 262,144 on the 19th. Then 524,288 on the 20th. Then 1,048,576 on the 21st. Then 2,097,152 on the 22nd. Then 4,194,304 on the 23rd."
"Aha."
"Then 8,388,608 on the 24th. Then 16,777,216 on the 25th. Then 33,554,432 on the 26th. Then 67,108,864 on the 27th. Then 134,217,728 on the 28th. Then 268,435,456 on the 29th. Then 536,870,912 on the 30th. Then 1,073,741,824 on the 31th."
"Ok, and then?"
"Then 2,147,483,648 on the 32th. Then 4,294,967,296 on the 33th. Then 8,589,934,592 on the 34th. Then 17,179,869,184 on the 35th. Then 34,359,738,368 on the 36th. Then 68,719,476,736 on the 37th. Then 137,438,953,472 on the 38th. Then 274,877,906,944 on the 39th. Then 549,755,813,888 on the 40th. Then 1,099,511,627,776 on the 41th. Then 2,199,023,255,552 on the 42th."
"And then what?"
"Then 4,398,046,511,104 on the 43th. Then 8,796,093,022,208 on the 44th. Then 17,592,186,044,416 on the 45th. Then 35,184,372,088,832 on the 46th. Then 70,368,744,177,664 on the 47th. Then 140,737,488,355,328 on the 48th. Then 281,474,976,710,656 on the 49th."
"I think, I know where it's heading to but please, go on."
"Then 562,949,953,421,312 on the 50th. Then 1,125,899,906,842,624 on the 51th. Then 2,251,799,813,685,248 on the 52th. Then 4,503,599,627,370,496 on the 53th. Then 9,007,199,254,740,992 on the 54th. Then 18,014,398,509,481,984 on the 55th. Then 36,028,797,018,963,968 on the 56th."
"And?"
"And then 72,057,594,037,927,936 on the 57th. Then 144,115,188,075,855,872 on the 58th. Then 288,230,376,151,711,744 on the 59th. Then 576,460,752,303,423,488 on the 60th. Then 1,152,921,504,606,846,976 on the 61th. Then 2,305,843,009,213,693,952 on the 62th. Then 4,611,686,018,427,387,904 on the 63th. And 9,223,372,036,854,775,808 on the 64th."
"Ok. Listen, I really like your game but this is just unreasonable. That's 18,446,744,073,709,551,615 grains of rice total. That's about 500,000,000,000 metric tons of rice. That's more rice that will be produced worldwide from now until the moment this story is published on that neat little website with movable thingies."
"Oh," said the inventor. "I didn't realize how much rice that is."
The moral of the story is, well, there are actually two equally important lessons. First, always read your requirements to the last page. Second, by multiplying things over and over again, you get from fairly small to unreasonably large numbers very fast. The good news is, this works the other way around too.
Now imagine you have a database with 18,446,744,073,709,551,615 entries in it. You want to find a particular entry by the key. Looking up through all the entries will take you exactly 18,446,744,073,709,551,615 steps. Even if a single step is 1 nanosecond long, the whole operation takes 584 years.
But let's say you can split the whole array in two and for each half, say does the queried entry belong to that half or not. How many steps will it require to find an entry then?
Yes, only this many.
Ok, let's be more specific. Let's say you have an array of 640 numbers sorted from little to great. You want to see if number 480 is among them.
Step 1. If the range is only 1 element wide (obviously, that's not true for the first iteration but we'll get there), then if the element is 480 then the range start is its index in the array. If it's not, then there is no 480 in the array at all. Either way, we're done.
Step 2. Split the range in half. Now you have two sorted arrays. On the first iteration, the first contains 320 numbers from first to 319th, and the second — from 320th to 639th. 320 is the dividing index.
Step 3. Select the right half-range. If the element pointed by the dividing index is greater than 480, then 480 may only be in the first half-range. It may not be there either but that's yet inconclusive. If the dividing number is less or equal than 480, then it may only be in the second half-range.
Step 4. Run step 1 for the new range.
Eventually, and in fewer then a dozen iterations, you'll either find the element or establish that it's not there at all.
Here's an interactive plot for this very exercise. The numbers are random but they are generated according to one of the three distributions. The shade of gray corresponds to the iteration number. You can pick a number to search by clicking or tapping anywhere on the plot.
As you have noticed, there is one more thing here to play with. It's the proportion in which the ranges are split. The thing is, you don't necessarily split the ranges into two equal halves. Yes, on uniform distribution this is the best strategy but it isn't necessarily so for all the possible ranges and all the possible distributions.
While we can all agree that 64 is less than 18,446,744,073,709,551,615 it still seems that the introduction story is a little too long.
We can choose a strategy for the range subdivision that will be more effective for specific distributions. For example, using linear interpolation instead of a fixed proportion for the dividing element index works wonders for the uniform distribution.
It can be written down as:
| i1(A[i2] - x) + i2(x - A[i1]) | |
| A[i2] - A[i1] |
Here idiv is the dividing index. It's the element that should start the second sub-range after the subdivision. The pair (i1, i2) is the pair of indices for the range being divided on a current iteration. The x stands for the element we're looking for, and A is the array to search in.
Here's an interactive plot that shows how it works.
Note that while it works well on uniform(-ish) distribution, the more uneven the distribution becomes, the more iterations it takes to find the element. That's the downside of linear interpolation.
Of course, the interpolation may be non-linear too. I remember of a very clever algorithm that effectively predicts the proportion for every sub-range based on the approximating polynomial of any degree. Unfortunately, I don't remember the algorithm itself. If you know what I am talking about, please let me know.
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I meant to simplify your program to find the fault. Maybe try to incrementally go for the solution you want to obtain in the end (just remebering for some propagators but not for all, maybe exclude element?). Christian


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Seismic data regularization, missing-trace interpolation and denoising using SVD-free low-rank matrix factorization.
This applications is available only in the software release for members of SINBAD consortium.
This software provides an algorithm for seismic data regularization, missing-trace interpolation and denoising (using Generalized SPGl1 as solver). The algorithm solves the system in parallel over frequencies. The regularization, missing-trace interpolation and denoising is done using robust-rank regularized formulation. We illustrate the advantages of the new approach using a seismic line from Gulf of Suez.
Author: Rajiv Kumar<EMAIL_ADDRESS>Date: April,2014
Contents
Downloading & Dependencies
The synthetic examples code can be found in the SLIM software release under applications/Processing/LowRankInterpolationAndDenoising.
The code has been tested with Matlab R2013a and require the Parallel Computing Toolbox.
This code uses the following packages, also found in the tools part of the SLIM software release.
- utilities/SPOT-SLIM - object oriented framework for matrix-free linear algebra.
- tools/algorithms/LowRankMinimization - Matrix factorization based low-rank optimization algorithm.
- tools/solvers/GenSPGL1 - Generalized SPGL1.
Running & Parallelism
All the examples and results are produced by the scripts found in this software release under /applications/Processing/LowRankInterpolationAndDenoising/examples/. Start matlab from /applications/Processing/LowRankInterpolationAndDenoising to add the appropriate paths.
To run the scripts follow the instrictions in the README file enclosed with the code.
Functions
The regularization, missing-trace interpolation and denoising code can be found in tools/algorithms/LowRankMinimization. The main components are listed below
algorithms/LowRankMinimization
- runinterp - Read the input parameter and data
- opMH - Transform monochromatic frequency slice from the source-receiver domain to the midpoint-offset domain.
- LowRank_2D - Perform regularization, missing-trace interpolation and denoising in the midpoint-offset domain.
Examples and results
An examples of regulation, missing-trace interpolation and denoising can be found in applications/Processing/LowRankInterpolationAndDenoising
Results of regularization, missing-trace interpolation and denoising is shown in GofS_Interp.m.
References
[1] R. Kumar, O. Lopez, E. Esser, F. J. Herrmann, 2014. Matrix completion on unstructured grids : 2-D seismic data regularization and interpolation, submitted to SEG.
[2] A.Y. Aravkin, R. Kumar, H. Mansour, B. Recht, F. J. Herrmann, 2013. Fast methods for denoising matrix completion formulations, with application to robust seismic data interpolation..
[3] R. Kumar, A.Y. Aravkin, H. Mansour, B. Recht, F. J. Herrmann, 2013. Seismic data interpolation and denoising using SVD-free low-rank matrix factorization, EAGE.
Acknowledgements
Thanks to our sponsors and NSERC for their financial support.


This page shows the results for task 2
The results are arranged year wise and per month basis as given in the problem statement.


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JavaTM 2 Platform Standard Ed. 5.0 |
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java.lang.Object javax.swing.RepaintManager
public class RepaintManager
This class manages repaint requests, allowing the number of repaints to be minimized, for example by collapsing multiple requests into a single repaint for members of a component tree.
| Constructor Summary | |
|---|---|
RepaintManager()
Create a new RepaintManager instance. |
| Method Summary | |
|---|---|
void |
addDirtyRegion(JComponent c,
int x,
int y,
int w,
int h)
Add a component in the list of components that should be refreshed. |
void |
addInvalidComponent(JComponent invalidComponent)
Mark the component as in need of layout and queue a runnable for the event dispatching thread that will validate the components first isValidateRoot() ancestor. |
static RepaintManager |
currentManager(Component c)
Return the RepaintManager for the calling thread given a Component. |
static RepaintManager |
currentManager(JComponent c)
Return the RepaintManager for the calling thread given a JComponent. |
Rectangle |
getDirtyRegion(JComponent aComponent)
Return the current dirty region for a component. |
Dimension |
getDoubleBufferMaximumSize()
Returns the maximum double buffer size. |
Image |
getOffscreenBuffer(Component c,
int proposedWidth,
int proposedHeight)
Return the offscreen buffer that should be used as a double buffer with the component c . |
Image |
getVolatileOffscreenBuffer(Component c,
int proposedWidth,
int proposedHeight)
Return a volatile offscreen buffer that should be used as a double buffer with the specified component c . |
boolean |
isCompletelyDirty(JComponent aComponent)
Convenience method that returns true if aComponent will be completely painted during the next paintDirtyRegions(). |
boolean |
isDoubleBufferingEnabled()
Returns true if this RepaintManager is double buffered. |
void |
markCompletelyClean(JComponent aComponent)
Mark a component completely clean. |
void |
markCompletelyDirty(JComponent aComponent)
Mark a component completely dirty. |
void |
paintDirtyRegions()
Paint all of the components that have been marked dirty. |
void |
removeInvalidComponent(JComponent component)
Remove a component from the list of invalid components. |
static void |
setCurrentManager(RepaintManager aRepaintManager)
Set the RepaintManager that should be used for the calling thread. |
void |
setDoubleBufferingEnabled(boolean aFlag)
Enables or disables double buffering in this RepaintManager. |
void |
setDoubleBufferMaximumSize(Dimension d)
Set the maximum double buffer size. |
String |
toString()
Returns a string that displays and identifies this object's properties. |
void |
validateInvalidComponents()
Validate all of the components that have been marked invalid. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public RepaintManager()
| Method Detail |
|---|
public static RepaintManager currentManager(Component c)
c
- a Component -- unused in the default implementation, but could
be used by an overridden version to return a different RepaintManager
depending on the Component
public static RepaintManager currentManager(JComponent c)
Note: This method exists for backward binary compatibility with earlier
versions of the Swing library. It simply returns the result returned by
currentManager(Component)
.
c
- a JComponent -- unused
public static void setCurrentManager(RepaintManager aRepaintManager)
aRepaintManager
- the RepaintManager object to usepublic void addInvalidComponent(JComponent invalidComponent)
JComponent.isValidateRoot()
,
removeInvalidComponent(javax.swing.JComponent)
public void removeInvalidComponent(JComponent component)
addInvalidComponent(javax.swing.JComponent)
public void addDirtyRegion(JComponent c, int x, int y, int w, int h)
JComponent.repaint(long, int, int, int, int)
public Rectangle getDirtyRegion(JComponent aComponent)
public void markCompletelyDirty(JComponent aComponent)
public void markCompletelyClean(JComponent aComponent)
public boolean isCompletelyDirty(JComponent aComponent)
public void validateInvalidComponents()
addInvalidComponent(javax.swing.JComponent)
public void paintDirtyRegions()
addDirtyRegion(javax.swing.JComponent, int, int, int, int)
public String toString()
toString
in class Object
public Image getOffscreenBuffer(Component c, int proposedWidth, int proposedHeight)
c
.
By default there is a double buffer per RepaintManager.
The buffer might be smaller than (proposedWidth,proposedHeight)
This happens when the maximum double buffer size as been set for the receiving
repaint manager.
public Image getVolatileOffscreenBuffer(Component c, int proposedWidth, int proposedHeight)
c
.
The image returned will be an instance of VolatileImage, or null
if a VolatileImage object could not be instantiated.
This buffer might be smaller than (proposedWidth,proposedHeight)
.
This happens when the maximum double buffer size has been set for this
repaint manager.
VolatileImage
public void setDoubleBufferMaximumSize(Dimension d)
public Dimension getDoubleBufferMaximumSize()
public void setDoubleBufferingEnabled(boolean aFlag)
aFlag
- true to activate double bufferingisDoubleBufferingEnabled()
public boolean isDoubleBufferingEnabled()
false
to avoid unnecessary buffering in Swing.
On platforms where native double buffering is not supported,
the default value will be true
.
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


This is zihad.I try to build a website to grow my skill.In website building skill.Inshallah I will do it.


We are a group of students who take pride in showing off different cultures and how they differ from the cultures we grew up in. We want to inform people about the differences in an educational way, making sure that they understand that stereotypes normally are not a factual depiction of many cultures. When we set-up this event we want every one to feel welcomed and embrace their cultures or ones they connect with.
We do the international fair so that the whole school can have a chance to learn about the world. Students can try new foods, receive an overview about other countries, see examples of habits, traditionl wear, and have a hands-on experience with the culture. At the international fair we set up booths that represent regions of the world. At our booths we present information, set up different activities, provide traditonal foods, and teach traditonal dances and games at some booths.
We hope that everyone who comes to our fair, will leave a bit more open-minded and informed than when they got there. Taking the following survey will help us plan future International fairs to come.
Talk to me about Scheduling a trip during our fair!
Copyright © NWCCA International Club 2019
Designed by Iain Holloway-thomas
Adobe Digital Design
Theme by start bootstrap


Note: ersch and admin are forbidden. Upper case won't help, jackass.
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Please enter a name.
Note<EMAIL_ADDRESS>and<EMAIL_ADDRESS>are forbidden. Upper case won't help, jackass.
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Please enter a valid role.
Please select a corona attitude.
Note: Form validation is pending


Last update of preamble: 2013-10-19 18:37 UTC
Last update of CV: 2013-10-29 18:45:03 UTC
My CV is realized with HTML 5 Offline capabilities -- this way the curriculum can be consulted offline on every device (notably PC, smartphone, tablet).
Unfortunately, bugs on my side (of both technical and methodological nature) and of Offline implementations in browsers can cause some issues that are somewhat annoying -- since an offline HTML page has essentialy the capability to autoupdate itself, if the code in it is "faulty enough" than you are unable to get the new fixed version.
So in order to anticipate such problems I devised this simple online page that contains instructions on how to clear application caches on browsers in order to load the CV correctly.
I recently did a simple workaround for Firefox 23/24, in which the offline capabilities do not work well -- see this bug on Bugzilla and this StackOverflow thread.
Now that you know how to solve problems should they arise, you can proceed to my CV:


""
Data Science & Machine Learning Expert
AI & Robotics Engineer.
Mathematician and Computer Scientist.
Ruby on Rails
Content Developer
Customer Relations,
Data Scientist.
Front-End Expert
Operations Manager
PHP Guru
Computer Scientist.
Flask Expert.
Node.js Developer
SQL Wizard
UX Designer,
iOS Developer.
Security Intelligence Engineer,
Computer Forensics Expert.
Talk to us and get a professional opinion to your problems.
Fully Responsive, Sleek and Dynamic Websites to Suit your Needs.
Excellent Graphic Design and Professional Photography Services
We help your business leverage the power of cloud Computing and HPC.


Bellevue Great Deals (Bellevue地区的屋有所值的房子）
Land（土地出卖)
Commercial Properties （商业用房）
BSD (校区房)
Welcome to my homepage
I look forward to assisting you with your real estate needs. Feel free to email, or call me.
If there is a specific property you have a question about, please send me the address or MLS# of the home and I will schedule an appointment for you. If you are looking for a great agent to list your home, please provide me with your address and contact information and I will be back in touch with you immediately.
My clients have found me to be a useful asset when dealing with all aspects of a real estate transaction. I believe in earning a client's trust by demonstrating an ability to listen to what is important to them, in their search for a new home
I believe if you provide a service that is better than the majority of your competition, your clients will refer business to you as a result of exceeding their expectations. I like the challenge of finding the perfect home for a new client. The word that best describes how I approach a real estate transaction is "patience." I am not in a hurry, unless the client is. Sometimes you find a home the first day out, sometimes it takes 3 to 5 months. Do what is best for the client! Search listings for homes, condos or vacant land in Bellevue，Clyde Hill, Enatai, Kirkland, Seattle Washington, please click the link below.


As a developer, one comes with different and new techniques of getting things and problems solved. So who said naming a child is easy? Most people are named differently. For example, one can be named with seasons, their favourite relatives, names from the bible,leaders,musicians,actors and so on. We go to Ghana where the Akan name is derived. The names are given to children as their first names according to the day of the week that they are born. From this we decided to come up with an app that will help identify the name one is given in Ghana depending on the day. This App helps the user to be able to get to know their names by the day they were born. Its easy to use and understanding it has been made easy as long as one remembers their date of birth, month and year.
Below is the the Ghanian names for both females and males and the the day of the week one is given the name.
| Day Of the Week | Akan Male Name | Akan Female Name |
|---|---|---|
| Sunday | Kwasi | Akosua |
| Monday | Kwadwo | Adwoa |
| Tuesday | Kwabena | Abenaa |
| Wednesday | Kwaku | Akua |
| Thursday | Yaw | Yaa |
| Friday | Kofi | Afua |
| Saturday | Kwame | Ama |
To be able to get the Akan name, we must have a form where will be able to fill in our information so as to be able to get the name. Below is the data form;


Two-factor authentication
Authentication code is required
{{ inputVerificationCode.value?.length || 0 }}/6
Invalid authentication code length
Enter a code from your two-factor authentication app
Don't have your device? Enter a recovery code
Don't have your device or recovery code? Contact support
Recovery code is required
{{ inputRecoveryCode.value?.length || 0 }}/10
Invalid recovery code length


mushi.loss_functions¶
Loss functions for measuring goodness of fit.
Each loss function takes an expected data matrix \(\mathbb{E}[\mathbf X]\) and an observed data matrix \(\mathbf X\), and returns a loss value. Higher loss means worse fit between \(\mathbf X\) and \(\mathbb{E}[\mathbf X]\).
Examples
>>> import mushi.loss_functions as lf
>>> import numpy as np
Define expected data matrix \(\mathbb{E}[\mathbf X]\) and an observed data matrix \(\mathbf X\) as \(10\times 10\) arrays of ones (for this trivial example):
>>> E = np.ones((10, 10))
>>> X = np.ones((10, 10))
Compute various losses:
Poisson random field
>>> lf.prf(E, X) DeviceArray(100., dtype=float64)
Generalized Kullback-Leibler divergence
>>> lf.dkl(E, X) DeviceArray(0., dtype=float64)
Least squares
>>> lf.lsq(E, X) 0.0
Functions
Generalized Kullback-Liebler divergence, a Bregman divergence (ignores constant term) |
|
Least-squares loss |
|
Poisson random field loss |


topleft
placeholder topleft
topright
placeholder topright
Main content
In most cases, this box will be the div with the most content.
placeholder
Endcontent
placeholder end


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For google, the home page is trying to be simple yet focused on the search functionality. The visual challenges are demonstrating is extremely efficacious search functionality without having to give too much detail in the form of pictures or designs. They do change the layout around their name on a daily basis to reflect that they acknowledge the birthdays of various individuals, groups, or ideas that have changed the world in an important way, kind of like the company itself.
For Amazon, the company tries to portray that is a one-stop shop for everything which is difficult to do given the limited space on a web page. However, they manage to pull it off!
For webMD they want to hold themselves out as not a only a resource for the non-medical professional through various journal articles but also self assessment tools. Again with the diverse amount of information that is possible to put on one website that have had to narrow down the design to what has practical meaning to the end-user.


{% extends "layout_task-list.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block home_link %} ../../task-list {% endblock %} {% block proposition_header %} {% set my_account="2" %} {% include "includes/propositional_navigation.html" %} {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back Thank you for contacting us We will reply to you within 2 working days using using the email you have given us. Go to your account {% include 'prototypes/prototype-mar-2019/includes/contact.html' %} {% endblock %}
We will reply to you within 2 working days using using the email you have given us.


This is Words and Buttons Online — a collection of interactive #tutorials, #demos, and #quizzes about #mathematics, #algorithms and #programming.
Marching cubes and dual contouring are mostly known as 3D mesh generating algorithms, but since it's hard to explain 3D things using 2D display, we will concentrate on planar analog. We will do contours.
Let's say we have a function.
x2 + y2 = 4
This function represents a circle. Now let's say we don't want a perfect circle, but its contour — a set of line segments that represent the circle within some tolerable error.
With the contour, we can do things that would be tricky to do with the circle itself. Like intersecting it with some other arbitrary curve or storing it in the same array with lines, triangles, and all the other contours regardless of their original nature.
Conceptually, contouring is simple. Let's rewrite our function:
F(x, y) = x2 + y2 - 4
Now we cover the plane with a grid. For every two adjacent cells, its shared border becomes a piece of the contour if the function F(x,y) changes sign between these two cell's centers. And that's it. This simple rule is enough for simple contouring.
Well, technically, it does represent the original curve. And the error is predictable. It never exceeds half of the cell's diagonal. But this contour has way too many corners for a circle.
We need something better.
What if we add line segments that go across the cells? We can measure function signs in every corner for each square, and add line segments accordingly. For now, let's connect the sign-changing edges from middle to middle.
There are 4 squares, 2 signs; there are only 16 combinations of sign change possible.
Click the +/- buttons to change signs.
Since pairs of signs for each shared edge change synchronously for both cells, the line segments connect automatically into a continuous contour.
It's a little better than before, but it is still far from the shape we want.
What if we don't put our line segments ends in the middle of edges, but try to find a better place for them? We have not only the function's signs but also the values so why don't we exploit that?
One way to find a better place to put line segments' ends will be by using linear interpolation.
Sign buttons are clickable.
This is not flawless. Since our target function is not necessarily linear, we can't expect linear interpolation to approximate it perfectly well. Ideally, we should have been looking for an actual point where the curve intersects an edge and not an interpolative prediction.
But linear interpolation still works well enough most of the time, and it's super cheap to compute.
Here, you can try it out yourself. Just click and drag anywhere on the canvas.
The ironic drawback of marching cubes is that they don't work very well with real cubes.
It's a red rectangle approximated by marching cubes' blue contour ↑
It gets better with a finer grid, sure, but conceptually this is the weak spot. For this problem, we need something different.
Marching cubes is not a single algorithm. It's a general approach covering a whole family of algorithms. Some are adaptive. Some are supplemented with sharp feature detection. Some can preserve the topology of non-manifold surfaces. Some work faster than others. Some have better memory consumption.
Just as that, dual contouring is not a single dual method. There are plenty. From primitive surface nets to the most sophisticated adaptive methods. We will not look into them.
I believe, the most important lesson we can take from dual methods is the idea of duality. The very concept, not the specific algorithm. We will look into this right now.
With marching cubes we did the following:
Conceptually, dual contouring goes like this:
Noticed anything?
Exactly! This is the same algorithm. Only cubes now play as edges and edges as cubes. That's the duality.
And now, since we get to place a segment end anywhere in the cube, we can also choose it to be on the corner.
There is a red rectangle under the green one, but it's completely covered ↑
Here, try it yourself. Click and drag.
Duality is a fascinating concept. The way you get new properties from an algorithm by merely swapping planes and points is, in a way, a mathematical miracle.
In practice, marching cubes and dual contouring tend to be complicated because we want more than just a contour or a triangle mesh out of them. We want them to work with sharp features, textures, open surfaces, non-manifold models, and all in a reasonable time, too. But conceptually, they are both rather simple. I hope this explanation shows it well.
| Index #mathematics #algorithms #tutorials | ← there's more. |
+
So You Think You Know C (free book) + Geometry for Programmers (paid book) + Github & RSS |


Active ingredients (per 5 mL)
Dextrose (glucose) 1.87 g
Levulose (fructose) 1.87 g
Phosphoric acid 21.5 mg
Purpose
Upset stomach reliever
Uses
- •
- relieves nausea due to upset stomach from intestinal flu, stomach flu, and food or drink indiscretions
Warnings
- •
- this product contains fructose and should not be taken by persons with hereditary fructose intolerance (HFI)
Do not use if you have
- •
- allergic reactions to any of the ingredients in this product
Ask a doctor before use if you have
- •
- diabetes
Stop use and ask a doctor if
- •
- symptoms persist, return or get worse
If pregnant or breast-feeding,
ask a health professional before use.
Keep out of reach of children.
In case of overdose, get medical help or contact a Poison Control Center right away. (1-800-222-1222)
Directions
- •
- for maximum effectiveness never dilute or drink fluids of any kind immediately before or after taking this product
- •
- adults and children 12 years of age and over: one or two tablespoons
- •
- children 2 to under 12: one or two teaspoons
- •
- repeat dose every 15 minutes or until distress subsides
- •
- do not take for more than one hour (5 doses) without consulting a doctor
Other information
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- store at 20°-25°C (68°-77°F)
Inactive ingredients
FD&C red no. 40 aluminum lake, flavor, glycerin, methylparaben, purified water
Questions or comments?
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Compare to the active ingredients of Emetrol®
anti-nausea liquid
dextrose (glucose) 1.87 g
levulose (fructose) 1.87 g
phosphoric acid 21.5 mg
for children and adults
relief for nausea due to upset stomach
cherry flavor
4 FL OZ (118 mL)


Vaibhav Dubey
Penetration Tester / Front-End Web Developer / Gamer
Hello, World !
Vaibhav Dubey
A Cyber Security Researcher , Penetration Tester & Web-developer
I'm a part-time Penetration Tester, A passionate Gamer and An Ocassional Web-developer. I like to play with Website's Security and I'm Currently Learning Java.
Programming
HTML
CSS
PHP
Skills
Web App Penetration Testing
Gaming
Programming


"Test-driven development is a way of managing fear during programming" - Kent Beck
Test harness for production code by writing the tests FIRST
Test the behaviours of program units
Describe those behaviours
By specifying required behaviours in tests, production code design can be aided
Characterised by the test-code-refactor cycle
If done consistently production code tends to end up with ~90% test coverage
Canonical text is ‘Test Driven Development by Example’ by Kent Beck
(credited with creating the Extreme Programming movement and Agile software development - aka TDD...)
Heavily influences the modern-day Software Craftsmanship movement
Check what Jason Gorman has to say about it
Often seen as algorithmic in emphasis
Integer -> roman numerals pseudo-code example (from Gorman's blog)
Test #1: 1 = I -> return "I"
Test #2: 2 = II -> if integer = 1 return "I" else return "II"
Test #3: 3 = III -> while(integer > 0) concatenate "I" to result and decrement integer
Triangulate (not strangulate) through the addition of tests until the general solution is found
Focuses on roles, responsibilities and collaborator interactions (as opposed to algorithms)
Design emphasis is message passing based (as opposed to algorithmic)
General modus operandi:
Use mocking library matchers to constrain method parameters
Hamcrest matchers can be used in assertions about output of a method invocation for object equality or part equality
Dynamic mocking/stubbing frameworks: Mockito, JMock and EasyMock
Also PowerMock(ito) for extreme cases (mocking static or final classes/methods)
Strongly supports the Dependency Inversion pattern (constructor or setter injection of dependencies)
@RunWith(MockitoJUnitRunner.class)
public class ThingWithBehaviourTest {
@Mock
private CombobulationConvertor combobulationConvertor;
@Mock
private LaunchParser launchParser;
private ThingWithBehaviour thing;
@Before
public void setUp() {
// subject under test
thing = new ThingWithBehaviour(launchParser, combobulationConvertor);
}
@Test
public void shouldCombobulateSuccesfully() {
CombobulationConfig combobulationConfig = new CombobulationConfig();
String configJson = "{\"some\":\"json\"}";
Combobulation givenCombobulation = new Combobulation();
// check that dependencies are called with the correct parameters
when(launchParser.parse(configJson)).thenReturn(combobulationConfig);
when(combobulationConvertor.convert(combobulationConfig)).thenReturn(givenCombobulation);
// invoke the subject under test
Combobulation actualCombobulation = thing.combobulate(configJson);
// check invocation interactions with mocked dependencies
verify(launchParser, times(1)).parse(configJson);
verify(combobulationConvertor, times(1)).convert(combobulationConfig);
// check that the same instance of a Combobulation is bubbled up by the SUT
assertThat(actualCombobulation, is(sameInstance(givenCombobulation)));
}
}
Mockito static 'when' and 'thenReturn' methods can be swapped for the more descriptive English BDDMockito statics 'given' amd 'willReturn'
Leads to less bug-ridden, ball-of-mud code, with 1000-line long classes with massive methods that do too many things, and that have intertwined behaviours that are too closely coupled
So cleaner, more readable code
A comprehensive regression harness develops
Your production code is protected against accidental breakage upon well-intended change
Training e.g. by people like Jason Gorman or at Skillsmatter
Pair programming e.g. doing ping-pong
Just doing it (requires a degree of self-discipline)
Security software (element of human judgement about the methods used to secure software)
Testing concurrency (it's still possible to get general interaction coverage though)
Kent Beck ('father of XP and TDD') - author of Test Driven Development by Example and Extreme Programming Explained
Ward Cunningham (inventor of the wiki) - contributed to CRC cards and XP methodologies of OO software development
Robert C. Martin (aka Uncle Bob, TDD and clean code exponent) - author of Clean code, The Clean Coder and Extreme Programming in Practice
Michael Feathers - author of Working Effectively with Legacy Code
Steve Freeman - co-author of Growing Object-Oriented Software, Guided by Tests
Nat Pryce - co-author of Growing Object-Oriented Software, Guided by Tests
(Both the above were involved in the XTC - Extreme Tuesday Club in London - out of which came their book)
Jason Gorman - software craftsmanship blogger and trainer
Please be nice!
These slides: http://tdd-mockito-hamcrest.paperplane.io/


BEAR WITH ME
"Love, light a fire for autism"——BUPT holds "World Autism Day" activities
2017.4.2
April 2, 2016 is the ninth "World Autism Day". BUPT held a theme of "Doing One Percent of One Day". "Blue Action" for children with autism, through the promotion and promotion of autism knowledge, charity sale, advocacy and concern for the whole society.
Happy Children's Day for autistic children
2017.6.1
Today is the festival for children - 6.1 Children's Day, held at the BUPT Hall on June 1st at 2pm.
Beijing Volunteer Union took care of autistic children
2017.11.1
Beijing Green Lemon Volunteer Alliance teamed up with Tongzhou District Youth League to recruit 40 young people from the community. They came to the Beijing Green Lemon Volunteer League volunteer training base. The Volunteers provide psychological services for autistic children.


Liverpool vs Man City referee confirmed ahead of title showdown at Anfield
Michael Oliver will take charge of the Premier League clash at Anfield between unbeaten Liverpool and champions Manchester City
by Liam Prenderville, http://www.facebook.com/mirrorfootballMichael Oliver will take charge of this weekend's title showdown between Liverpool and Manchester City .
The Premier League rivals will face off at Anfield on Sunday in a potentially crucial clash in the race for the title.
Liverpool are yet to taste defeat this season while champions City are in second, six points adrift of the Reds.
A win for Jurgen Klopp's side means they could go nine points clear ahead of the festive period.
The Premier League has confirmed Oliver will take charge at Anfield, with Paul Tierney named as the VAR official.
Oliver has taken charge of Liverpool twice this season - the wins over Norwich and Chelsea, and was also in the middle for City's controversial draw with Tottenham in August.
On the back of his controversial officiating in Everton's draw with Tottenham on Sunday, Martin Atkinson will be in charge of the clash between Newcastle an Bournemouth .
Atkinson was at the centre of the encounter at Goodison Park after Son Heung-min was shown red for a challenge on Andre Gomes, that led to the midfielder fracturing his ankle.
Both sides were also denied penalties by controversial VAR calls during the 1-1 draw.
Premier League referee appointments
- Norwich vs Watford - Andre Marriner
- Chelsea vs Crystal Palace - Mike Dean
- Burnley vs West Ham - Kevin Friend
- Newcastle vs Bournemouth - Martin Atkinson
- Southampton vs Everton - Paul Tierney
- Tottenham vs Sheffield United - Graham Scott
- Leicester vs Arsenal - Chris Kavanagh
- Man Utd vs Brighton - Jonathan Moss
- Wolves vs Aston Villa - Anthony Taylor
- Liverpool vs Man City - Michael Oliver


Click to Read the Brief Plot
We are a group of four students studying at NYU Abu Dhabi and we made this film as part of our summer course, Communications Lab, taught by professor Pierre Depaz. This is our entry to the annual 30-Minute Film Festival 2021.


Before Change
return cleanup(result, 0 in labels, True, features)
def compute_global(self, image, labels, features, axes):
features = list(f for f, _ in features)
features = list(set(features).intersection(self.global_features))
return self._do_4d(image, labels, features, axes)
def compute_local(self, image, label_bboxes, features, extent, axes):
After Change
return cleanup(result, 0 in labels, True, features)
def compute_global(self, image, labels, features, axes):
features = features.keys()
features = list(set(features).intersection(self.global_features))
return self._do_4d(image, labels, features, axes)
def compute_local(self, image, label_bboxes, features, extent, axes):


TR-369 – The User Services Platform
Issue: 1 Amendment 3
Issue Date: June 2023
Current Version: 1.3
About this version:
This specification includes:
- Architectural overview
- Discovery mechanisms for Controllers and Agents
- Basic CRUD messages between Controllers and Agents
- Use of USP Record encapsulation for end to end integrity, security, and privacy
- Data model Objects specific to protocol functionality, object defined operations, and notifications/events
- Protocol buffers encoding schema
- Use of WebSockets, MQTT, STOMP, and UNIX Domain Sockets as message transfer protocols (MTP)
- A system for authentication and authorization
- Extensions for bulk data collection, firmware management, software module management, containerized microservices, and device proxying
- Theory of operations for using a USP Agent to control IoT devices and systems
USP is developed by the Broadband Forum. For more information, visit https://www.broadband-forum.org


Modify support of pdqr-function using method of choice.
form_resupport(f, support, method = "reflect")
| f | A pdqr-function. |
|---|---|
| support | Numeric vector with two increasing (or non-decreasing, see
Details) elements describing support of the output. Values can be |
| method | Resupport method. One of "reflect", "trim", "winsor", "linear". |
A pdqr-function with modified support and the same
class and type as f
.
Method "reflect" takes a density "tails" to the left of support[1]
and to the right of support[2]
and reflects them inside support
. It means
that values of density inside and outside of supplied support
are added
together in "symmetric fashion":
d(x) = d_f(x) + d_f(l - (x-l)) + d_f(r + (r-x))
, where d_f
is density of
input, d
is density of output, l
and r
are left and right edges of
input support
. This option is useful for repairing support of
new_*()'s output, as by default kernel density estimation in
density()
adds tails to the range of input x
values. For example, if
there is a need to ensure that distribution has only positive values, one can
do form_resupport(f, c(0, NA), method = "reflect")
. Notes:
For "discrete" pdqr-functions that might result into creating new "x" values of distribution.
Reflection over support[1]
is done only if it is strictly greater than
f
's left edge of support. Reflection over support[2]
- if f
's right
edge is strictly smaller.
Method "trim" removes density "tails" outside of support
, normalizes the
rest and creates appropriate pdqr-function.
Method "winsor" makes all density "tails" outside of input support
"squashed" inside it in "dirac-like" fashion. It means that probability from
both tails is moved inside support
and becomes concentrated in 1e-8
neighborhood of nearest edge. This models a singular dirac distributions at
the edges of support
. Note that support
can represent single point,
in which case output has single element if f
's type is "discrete" or is a
dirac-like distribution in case of "continuous" type.
Method "linear" transforms f
's support linearly to be input support
. For
example, if f
's support is [0; 1] and support
is c(-1, 1)
, linear
resupport is equivalent to 2*f - 1
. Note that support
can represent
single point with the same effect as in "winsor" method.
form_regrid()
for changing grid (rows of "x_tbl" metadata) of
pdqr-function.
form_retype()
for changing type of pdqr-function.
Other form functions:
form_estimate()
,
form_mix()
,
form_regrid()
,
form_retype()
,
form_smooth()
,
form_tails()
,
form_trans()
set.seed(101)
d_norm <- as_d(dnorm)
d_dis <- new_d(data.frame(x = 1:4, prob = 1:4 / 10), "discrete")
# Method "reflect"
plot(d_norm)
# For "discrete" functions it might create new values
meta_x_tbl(form_resupport(d_dis, c(NA, 2.25), "reflect"))
#> x prob cumprob
#> 1 1.0 0.1666667 0.1666667
#> 2 1.5 0.5000000 0.6666667
#> 3 2.0 0.3333333 1.0000000


Package net.aifusion.cql
This package implements a query facility based on the DMTF CIM Query Language (CQL). Since CQL was designed for CIM Version 2, but the Fusion metamodel is based on CIM Version 3, there are differences in the query language as well.
The package exposes a single class CimQuery that can be used to query instances within a repository.
Currently, while the majority of the CQL specification can be parsed as a valid query, the actual query engine is only partially implemented. Thus, mileage on a specific query may vary, especially for queries that involve joins. The Basic Query form defined in DSP0202 should, however, work:
SELECT * FROM class_name WHERE <selection expression>
The query will return a list of structure values that meet the desired expression. Aggregation functions (e.g., COUNT, MIN, MAX, SUM, MEAN, MEDIAN) are currently not implemented. However, other result-set operations (i.e., FIRST, DISTINCT, ORDER BY) are implemented.
In addition, The construct $identifier$
can be used in the query to define "delayed constants" that can be set within the query using
CimQuery.setVariable(String, net.aifusion.metamodel.DataValue)
after it is parsed. This is useful, for example to reuse the same query with different
values in the selection expression without the overhead of re-constructing the query each time.
- Author:
- Sharad Singhal


Citadel Prediction API
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Version: 1
All rights reserved
http://apache.org/licenses/LICENSE-2.0.html
Access
[ Jump to Models ]
Table of Contents
get /models
post /models
get /models/{uuid}/anomalies
get /models/{uuid}/correlations
delete /models/{uuid}
get /models/{uuid}/forecast
get /models/{uuid}
Get all time series for which models have been trained (modelsGet)
Return type
Example data
Content-Type: application/json
[ {
"date_created" : 123456789,
"target_uuid" : "aeiou"
} ]
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
Train a new model (modelsPost)
Trains a new prediction model for the specified uuid, overwriting a previous model if it exists. Also creates and caches model forecasts, anomalies, and correlations.
Consumes
This API call consumes the following media types via the
Content-Type request header:
Request body
body (required)
Body Parameter — Parameters for the new model
Return type
Example data
Content-Type: application/json
{
"num_examples" : 123,
"features" : [ "aeiou" ],
"num_features" : 123,
"date_created" : 123456789,
"num_autoregressive_terms" : 123,
"delay_length" : 123,
"target_uuid" : "aeiou",
"num_output_values" : 123,
"num_hidden_units" : 123
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
model
400
Invalid or missing model parameters
Up
get /models/{uuid}/anomalies
Get anomalies from a specific model (modelsUuidAnomaliesGet)
Returns anomalies detected by the given model. Anomalies are those points in the target time series for which the prediction error is highest. Any error value larger than 3 standard deviations is considered an anomaly, and anomalies are returned in sorted order by prediction error.
Path parameters
uuid (required)
Path Parameter — UUID of the target time series
Query parameters
count (optional)
Query Parameter — Maximum number of anomalies to return
Return type
Example data
Content-Type: application/json
{
"time" : [ 123456789 ],
"error" : [ 1.3579000000000001069366817318950779736042022705078125 ]
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
anomalies
400
Failed to parse parameters
404
Model not found
Up
get /models/{uuid}/correlations
Get correlations from a specific model (modelsUuidCorrelationsGet)
Get features which have the highest correlation with the target time series, determined by measuring the increase in prediction error when the feature is removed.
Path parameters
uuid (required)
Path Parameter — UUID of the target time series
Query parameters
count (optional)
Query Parameter — Maximum number of correlations to return default: 20
only_timeseries (optional)
Query Parameter — Whether to include derived features or only time series in the correlations default: false
Return type
Example data
Content-Type: application/json
{
"columns" : [ "aeiou" ]
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
correlations
400
Failed to parse parameters
404
Model not found
Delete model for a particular time series (modelsUuidDelete)
Path parameters
uuid (required)
Path Parameter — UUID of the target time series
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
Up
get /models/{uuid}/forecast
Get forecasts from a specific model (modelsUuidForecastGet)
Returns future values predicted by the model for the last observed sensor values. The number of forecast depends on the number of output values specified when the model was created. Return type is a list of anomalies, where each anomaly is a list containing two items: the time and the forecasted sensor value.
Path parameters
uuid (required)
Path Parameter — UUID of the target time series
Return type
Example data
Content-Type: application/json
{
"forecast" : [ [ 1.3579000000000001069366817318950779736042022705078125 ] ]
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
forecast
404
Model not found
Get model information for a specific UUID (modelsUuidGet)
Path parameters
uuid (required)
Path Parameter — UUID of the target time series
Return type
Example data
Content-Type: application/json
{
"num_examples" : 123,
"features" : [ "aeiou" ],
"num_features" : 123,
"date_created" : 123456789,
"num_autoregressive_terms" : 123,
"delay_length" : 123,
"target_uuid" : "aeiou",
"num_output_values" : 123,
"num_hidden_units" : 123
}
Produces
This API call produces the following media types according to the request header;
the media type will be conveyed by the
Content-Type response header.
Responses
200
Success
model
404
Model not found
[ Jump to Methods ]
Table of Contents
anomalies
correlations
forecast
model
modelparams
reducedmodel
time (optional)
error (optional)
target_uuid (optional)
date_created (optional)
num_hidden_units (optional)
num_autoregressive_terms (optional)
delay_length (optional)
Integer Delay between autoregressive and target values format: int32
num_output_values (optional)
Integer Number of predictions to make format: int32
num_features (optional)
num_examples (optional)
features (optional)
target_uuid (optional)
num_hidden_units (optional)
num_autoregressive_terms (optional)
delay_length (optional)
Integer Delay between autoregressive and target values format: int32
num_output_values (optional)
Integer Number of predictions to make format: int32
target_uuid (optional)
date_created (optional)


|
Xenomai
3.0.4
|
Macros | |
| #define | rtdm_irq_get_arg(irq_handle, type) ((type *)irq_handle->cookie) |
| Retrieve IRQ handler argument. More... | |
Typedefs | |
| typedef int(* | rtdm_irq_handler_t) (rtdm_irq_t *irq_handle) |
| Interrupt handler. More... | |
Functions | |
| int | rtdm_irq_request (rtdm_irq_t *irq_handle, unsigned int irq_no, rtdm_irq_handler_t handler, unsigned long flags, const char *device_name, void *arg) |
| Register an interrupt handler. More... | |
| int | rtdm_irq_free (rtdm_irq_t *irq_handle) |
| Release an interrupt handler. More... | |
| int | rtdm_irq_enable (rtdm_irq_t *irq_handle) |
| Enable interrupt line. More... | |
| int | rtdm_irq_disable (rtdm_irq_t *irq_handle) |
| Disable interrupt line. More... | |
RTDM_IRQTYPE_xxx | |
| #define | RTDM_IRQTYPE_SHARED XN_IRQTYPE_SHARED |
| Enable IRQ-sharing with other real-time drivers. | |
| #define | RTDM_IRQTYPE_EDGE XN_IRQTYPE_EDGE |
| Mark IRQ as edge-triggered, relevant for correct handling of shared edge-triggered IRQs. | |
RTDM_IRQ_xxx | |
| #define | RTDM_IRQ_NONE XN_IRQ_NONE |
| Unhandled interrupt. | |
| #define | RTDM_IRQ_HANDLED XN_IRQ_HANDLED |
| Denote handled interrupt. | |
| #define | RTDM_IRQ_DISABLE XN_IRQ_DISABLE |
| Request interrupt disabling on exit. | |
| #define rtdm_irq_get_arg | ( | irq_handle, | |
| type | |||
| ) | ((type *)irq_handle->cookie) |
Retrieve IRQ handler argument.
| irq_handle | IRQ handle |
| type | Type of the pointer to return |
Referenced by a4l_get_time().
| typedef int(* rtdm_irq_handler_t) (rtdm_irq_t *irq_handle) |
Interrupt handler.
| [in] | irq_handle | IRQ handle as returned by rtdm_irq_request() |
| int rtdm_irq_disable | ( | rtdm_irq_t * | irq_handle | ) |
Disable interrupt line.
| [in,out] | irq_handle | IRQ handle as returned by rtdm_irq_request() |
Referenced by udd_notify_event().
| int rtdm_irq_enable | ( | rtdm_irq_t * | irq_handle | ) |
Enable interrupt line.
| [in,out] | irq_handle | IRQ handle as returned by rtdm_irq_request() |
Referenced by udd_notify_event().
| int rtdm_irq_free | ( | rtdm_irq_t * | irq_handle | ) |
Release an interrupt handler.
| [in,out] | irq_handle | IRQ handle as returned by rtdm_irq_request() |
Referenced by a4l_get_time(), and udd_unregister_device().
| int rtdm_irq_request | ( | rtdm_irq_t * | irq_handle, |
| unsigned int | irq_no, | ||
| rtdm_irq_handler_t | handler, | ||
| unsigned long | flags, | ||
| const char * | device_name, | ||
| void * | arg | ||
| ) |
Register an interrupt handler.
This function registers the provided handler with an IRQ line and enables the line.
| [in,out] | irq_handle | IRQ handle |
| [in] | irq_no | Line number of the addressed IRQ |
| [in] | handler | Interrupt handler |
| [in] | flags | Registration flags, see RTDM_IRQTYPE_xxx for details |
| [in] | device_name | Device name to show up in real-time IRQ lists |
| [in] | arg | Pointer to be passed to the interrupt handler on invocation |
Referenced by a4l_get_time().


P-Value Testing Example
by Addicted
Enter Standard Deviation of Population/Sample:
Enter Sample Size:
Enter Population mean(not in Percentage):
Enter Sample mean(not in Percentage):
Enter alpha(0-1):
{% autoescape false %} {{ op }} {% endautoescape %}