| Term | (p.o.s.) | Definition | Synonyms/Antonyms | Sentences |
| Factious | (adj.) | conflicting; warring; pertaining to a state of faction |
Syn: partisan, dissident, seditious
Ant: harmonious, compliant, accordant |
My factious friend Johnny tends to separate from the rest of the group when he doesn't agree with us.
During the summit, the factious ambassador caused a huge commotion by dissenting every claim made by the opposing party. |
| Ignoble | (adj.) | not honorable in character or purpose |
Syn: vulgar, shameful, heinous
Ant: honorable, reputable, worthy |
The ignoble dragon captured the princess of the kingdom and threatened to destroy the castle.
A person can lose his/her job by commiting an ignoble act such as disrespecting his/her coworkers. |
| Boor | (n.) | a peasant; a rude/insensitive person |
Syn: barbarian, oaf, bigot
Ant: gentleman, elite |
Billy is such a boor because he likes to push smaller kids into lockers.
People called Cory a boor because he always makes fun of people and gets into fights. |
| Aegis | (n.) | the protection or support of a particular person or organization |
Syn: patronage, guidance, trusteeship
Ant: obstruction, competition |
Miscrosoft's aegis allowed Apple to continue thriving with the aid of Bill Gates' finances.
Under the aegis of the police department, the witness could safely speak without worry of being harmed. |
| Perspicacity | (n.) | the quality of acute mental vision or discernment |
Syn: perception, understanding, insight
Ant: misunderstanding, ineptness |
I can solve very complex math problems because I have good perspicacity and a knack for spotting solutions.
If it were not for Bill's perspicacity, I would have purchased a car that was missing a coolant system. |
| Fervent | (adj.) | showing or portraying strong and sincere feelings or beliefs |
Syn: enthusiastic, passionate, zelous
Ant: apathetic, indifferent, unconcerned |
The shopowner is very fervent about the success of his shop and always tells us how much he believes in it.
His fervent speech convinced me to follow my dreams and become an engineer because he was so enthusiastic about his new product. |
| Rectify | (v.) | to put/make right or correct |
Syn: amend, remedy, revise
Ant: worsen, corrupt, destroy |
After realizing I had misbubbled on the scantron, I erased the mark and rectified my answer.
Bob decided to rectify is crime by engaging in commnity service and volunteer work. |
| Enervate | (v.) | to drain of energy or vitality; to weaken |
Syn: disable, incapacitate
Ant: energize, assist, strengthen |
Watching all those TedEd videos and writing reflections on them really enervated my will to keep working.
Working on the roof enervated the contractors, especially when they found out the support beams had rotted and been infested with termites. |
| Besiege | (v.) | to surround with armed forces in order to capture it or force its surrender; to lay siege to |
Syn: beleaguer, blockade, confine
Ant: released, expelled |
Hayai and Kiyo surrounded and besieged Akuryō in their attempt to defeat him in combat.
The wounded fish waas soon besieged by hungry sharks looking for a tasty snack. |
| Ephemeral | (adj.) | lasting for a very short time |
Syn: fleeting, brief, temporary
Ant: perpetual, infinite, enduring |
Bowsette is only ephemeral and temporary while Doom is eternal.
The ephemeral argument was over in a matter of seconds. |
| Altriusm | (n.) | the belief in or practice of selfless care for the well-being of others |
Syn: benevolence, charity, magnaminity
Ant: malice, avarice |
Kora's altruism in her sacrifice to save her brother caused Aykesano to suffer from a mental breakdown.
In an act of altruism, Jennifer went to the nursing home to check up on her grandmother's health. |
| Carrion | (n.) | the decaying flesh of dead animals |
Syn: corpse, remains
Ant: organism |
Tetsu saw the carrion of a young girl before him, the stench of rotting flesh filling the air.
The highway crew removed the carrion from the road because the decaying remains of the roadkill had caused some drivers to vomit, causing accidents. |
| Erotic | (adj.) | relating to or enducing an arousal of sexual desire or excitement |
Syn: lewd, obscene, sensual
Ant: chaste, decent, pure |
Dude, you should defintely read this erotic fanfiction, it totally got me excited!
Citizens protested the opening of an erotic bookstore near the park because the lewd stories could damage the minds of the kids that hang out at that park |
| Amorphous | (adj.) | shapeless; formless |
Syn: vague, irregular
Ant: definite, shaped, distinct |
Coal is an amorphous allotrope of carbon, as it doesn't have a defined crystalline structure.
The amorphous body of the amoeba had no discernible shape or form. |
| Opulent | (adj.) | rich and luxurious |
Syn: ostentatious, lavish, exuberant
Ant: poor, depressed |
Dan's parents were quite opulent in that they continually showed off their wealth to their colleagues.
Features in the opulent mansion include the golden toilet seats and giant garden statues. |


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--- # this is an empty front matter --- {% include header.html %}
One of the limitations imposed by the standard ClearPress templated-view mechanism is that an entire response needs to be processed en-bloc - that is to say, completed on the server all-at-once then returned to the client in one go. This naturally suits many, if not most, real-world examples which involve a relatively quick, or small single page response which can be served in this way. However there are other cases which require a bit more care. If a page takes longer than around 5 seconds to start returning content, the user is likely to become bored of waiting. So if it is possible for the application to start doing the work and begin to serve the response to the user before it finishes doing the work, it should result in a more pleasant user-experience. This act of simultaneously processing and serving content is often referred to as streaming.
Streamed content of course is not quite as simple as block-based templating. Some extra care is required to allow for example, database work to occur in between serving chunks of content back to the user. Thankfully ClearPress tries to reduce these burdens.
To enable streaming for a view, first define the method
sub streamed_aspects { }
in the view class. This overrides the same method in the superclass
and allows us to return an array of the aspect names we want to
stream. Lets do that for a listing:
sub streamed_aspects {
return [qw(list)];
}
Ok, now we need to define the method ourselves to actually do the work. As we're likely to be streaming copies of the same template, just with different data, we can still make use of the template toolkit, but we need to handle the chunks ourselves. A simple way to do this is using three files, a header, a footer and the repeated block.

List of kids

id	name

some content

[% kid.id %]	[% kid.name %]

Great! That's the templates taken care of. You should be able to see what we're about to do in the view module.
sub list {
my $self = shift;
$self->process_template('kid_list_header.tt2');
my $kids = $self->model->kids();
for my $kid (@{$kids}) {
$self->process_template('kid_list_row.tt2', {kid=>$kid});
}
$self->process_template('kid_list_footer.tt2');
return 1;
}
Ok, so we are doing our main database query here in one lump. As an
exercise you could try generating a method like this which uses a
two-argument SQL LIMIT or cursors to iterate over sets of rows using
less memory.
Naturally it is also possible to stream responses other than the standard text/html. Streaming should work fine with XML or text/plain for example.
{% include footer.html %}


Drag the bottom right thumb to resize. Currently 600x500. Auto resize to 800x600, 1024x768, 1280x1024, 1366x768.


Ocean [ai50], ocean, in The Inner Sea
Last updated Turn #100
Ocean [ai50], ocean, in The Inner Sea
------------------------------------------------------------------------
22: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
22: 30% damaged, arrived from Ocean [ai49], owner:
22: Phantasm [n4b], Imperial Empire, duke, with eight sailors
23: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
23: 30% damaged, departed for Ocean [ai51].
Routes leaving Ocean:
North, to Ocean [ah50], Crystal Sea, 6 days
East, to Ocean [ai51], 6 days
South, to Ocean [aj50], 6 days
West, to Ocean [ai49], 6 days
Inner locations:
Island [aa4u], island, 1 day, owner:
Cyclops [af8m], cyclops, number: 15


WebDevice Editor - LUA
select a device out of the list, press load to see it in the editor. Now you may change something. Press save to store it with he given name in the textfield


Paramount
Favorites
Home
Upload File
User
Name
Kind
Date Modified
Author
File1.doc
Document
Oct 13, 2015
User
File2.pdf
Document
Oct 13, 2015
User


LE-V-EL
Base paper
Team
Contact
Platform
(current)
Download
Evaluate
Leader board
Analyze
Leader Board
Rank
Model
Score
Team
1
VGG19
0.856
mpsych
2
DenseNet
0.773
mpsych
3
AlexNet
0.723
mpsych


[1]
super fast response; i really dont have any :P
[2]
pretty much everything; no camera or phone
[3]
Made by Microsoft; None so far


Removable chip with iron-icon
and a secondary label
John Doe
<EMAIL_ADDRESS>Same chip, with animated transition
John Doe
<EMAIL_ADDRESS>Animated chip with more content
Jane Doe
<EMAIL_ADDRESS>123 Avenue Way
Anytown, USA 12345
555-123-4567
Chip with single letter instead of an icon
P
Peter Parker
<EMAIL_ADDRESS>Single-line removable chip (does not open)
Example Chip
Example chip input field using paper-input-container


I'm Tom, a 16 year old Web Developer from the UK. I've been developing for 5 years now after writing my first "Hello World" at 11 years old in HTML. Since then I've developed my skills as a developer hugely, learning new languages, frameworks and techniques. I work with HTML, CSS, JS and PHP (Laravel).
Bernie G is a software developer from the USA. After working on a couple of previous projects with Bernie, I worked on his portfolio website. The site is modern, responsive and features an admin panel allowing Bernie to make blog posts, edit site content and more. This project was completed in a 2 week timescale.
View SiteEmpower Servers host minecraft servers, I designed their static site and their WHMCS theme to match it.
View SiteCaring Hut is a charity that donates books, money and food to poor children to improve their quality of life.
View SiteSimulator Adventures is an amazing flight simulator experience in Manchester in the UK, they offer a full A320 flight simulator experience in a 1:1 cockpit using genuine Airbus parts. It's truly amazing and definitely worth a visit if you're in Machester.
View SiteHostio is a hosting company that hosts servers for Minecraft, Rust, Seven days to die and more.
View Site


Using 1D Perlin Noise to assign location.
Original Processing.org Example: Noise1D
// All Examples Written by Casey Reas and Ben Fry // unless otherwise stated. float xoff = 0.0; float xincrement = 0.01; void setup() { size(200,200); background(0); frameRate(30); smooth(); noStroke(); } void draw() { // Create an alpha blended background fill(0, 10); rect(0,0,width,height); //float n = random(0,width); // Try this line instead of noise // Get a noise value based on xoff and scale it according to the window's width float n = noise(xoff)*width; // With each cycle, increment xoff xoff += xincrement; // Draw the ellipse at the value produced by perlin noise fill(200); ellipse(n,height/2,16,16); }


Priyam Garg to lead India’s U-19 squad against Afghanistan
by PTIMumbai left-hander Yashasvi Jaiswal, who recently hit a double century in the Vijay Hazare Trophy, headlined a strong India U-19 squad that will take on Afghanistan in the first two games of the five-match one day series.
The Indian team, led by Priyam Garg, is preparing for next year’s U-19 World Cup and various combinations are being tried out currently.
The five-match series will be played at Lucknow’s Ekana Stadium on November 22 24, 26, 28 and 30.
The squad for the 1st and 2nd one-day: Yashasvi Jaiswal, Tilak Varma, Arjun Azad, Priyam Garg, capt, Shashwat Rawat, Kumar Kushagra (wk), Divyansh Joshi, Manav Sutar, Ravi Bishnoi, Kartik Tyagi, Akash Singh, Atharva Ankolekar, Vidyadhar Patil, CTL Rakshan, Kruthik Krishna (wk).


DRAFT - HTML4 Test Suite
The HTML4 Test Suite is provided as a way for vendors and page authors to test
their browser's conformance to the W3C HTML 4.01 specification
This test suite is organized around the structure of the
W3C HTML 4.01 specification.
Table of Contents
- About the HTML 4 Specification -- There are no tests for this section
- Introduction to HTML 4 -- There are no tests for this section
- On SGML and HTML -- There are no tests for this section
- Conformance: requirements and recommendations -- There are no tests for this section
- HTML Document Representation - Character sets, character encodings, and entities
- Basic HTML data types - Character data, colors, lengths, URIs, content types, etc.
- The global structure of an HTML document - The HEAD and BODY of a document
- Language information and text direction - International considerations for text
- Text - Paragraphs, Lines, and Phrases
- Lists - Unordered, Ordered, and Definition Lists
- Tables
- Links - Hypertext and Media-Independent Links
- Objects, Images, and Applets
- Style Sheets - Adding style to HTML documents
- Alignment, font styles, and horizontal rules
- Frames - Multi-view presentation of documents
- Forms - User-input Forms: Text Fields, Buttons, Menus, and more
- Scripts - Animated Documents and Smart Forms
- SGML reference information for HTML - Formal definition of HTML and validation
- SGML Declaration of HTML 4
- Document Type Definition
- Transitional Document Type Definition
- Frameset Document Type Definition
- Character entity references in HTML 4
- Acknowledgements
Feedback regarding the HTML4 Test Suite should be sent to
www-html-testsuite@w3.org.


First Name:
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What part did you enjoy the most? Select One History Comedies Dramamovies Romancemovies Awards Home
Why
Any additional comments?


Acknowledgements¶
Without the trusted and capable packages Mosflm, CCP4, Scala and XDS it would clearly be impossible to develop xia2. The author would therefore like to thank Andrew Leslie, Harry Powell, Phil Evans, Wolfgang Kabsch and Kay Diederichs for their assistance in using their programs and modi- fications they have made. In addition, more recent developments such as DIALS [1] , Pointless [2] and CCTBX [3] have made the development of xia2 much more straightforward and the end product more reliable. The author would therefore like to additionally thank Nick Sauter and Ralf Grosse-Kunstleve for their help. Development of a package such as this is impossible without test data, for which the author would like to thank numerous users, particularly the Joint Center for Structural Genomics, for publishing the majority of their raw diffraction data. During the course of xia2 development the project has been supported by the UK BBSRC through the e-HTPX project, the EU Framework 6 through the BioXHit project and most recently by Diamond Light Source. The software itself is open source, distributed under a BSD license, but relies on the user having correctly configured and licenced the necessary data analysis software, the details of which will be discussed shortly.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object gr.forth.ics.graph.algo.Trees
public class Trees
Algorithms for trees.
| Nested Class Summary | |
|---|---|
static class |
Trees.DiameterFinder
Represents the diameter of each subtreee of the tree. |
static class |
Trees.NodeLevelFinder
Represents the number of layers that exist underneath and above each node of a tree. |
static class |
Trees.SubtreeAnalyzer
Represents the number of nodes that exist in every subtree of a tree. |
| Method Summary | |
|---|---|
static Trees.SubtreeAnalyzer |
analyzeSubtrees(InspectableGraph graph,
Node root,
Direction directionFromRootToKids)
Finds the number of nodes and leaves for every subtree of the specified tree. |
static Node |
findCenter(InspectableGraph tree)
Returns the center of the tree. |
static int |
findDiameter(InspectableGraph graph)
Finds the diameter (number of edges in the longest path) of a tree. |
static Trees.DiameterFinder |
findDiameter(InspectableGraph graph,
Node root,
Direction directionToKids)
Finds the diameter (number of edges in the longest path) of each subtree of a tree. |
static Trees.NodeLevelFinder |
findNodeLevels(InspectableGraph graph,
Node root,
Direction directionToKids)
Executes the node-level finding algorithm on a tree. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Method Detail |
|---|
public static Node findCenter(InspectableGraph tree)
If the supplied graph is not a single tree, null may be returned.
tree
- the graph that represents a tree
public static Trees.NodeLevelFinder findNodeLevels(InspectableGraph graph, Node root, Direction directionToKids)
graph
- the graph that contains the treeroot
- the root of the treedirectionToKids
- the direction of edges from the root (or any node) to its kids
public static int findDiameter(InspectableGraph graph)
graph
- the graph that contains the tree
public static Trees.DiameterFinder findDiameter(InspectableGraph graph, Node root, Direction directionToKids)
graph
- the graph that contains the treeroot
- the root of the treedirectionToKids
- the direction of edges from the root (or any node) to its kids
public static Trees.SubtreeAnalyzer analyzeSubtrees(InspectableGraph graph, Node root, Direction directionFromRootToKids)
graph
- the graph that contains the treeroot
- the root of the treedirectionFromRootToKids
- the direction of edges from the root (or any node) to its kids
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Chapter 12 Data Analysis
There are many types of analysis you can perform with Tercen. To see the some example cases, please explore the collections.
Go to https://tercen.com/explore/tab/collections.
Each project in this page, is an example project and in each project is a workflow containing the data analyis steps. The steps usually contain a computation called an operator. For a complete list of operators see the operator catalog.
Typical steps taken during an ‘omics’ analysis are the following:
- create or join a team for the analysis
- create the new project inside the team
- upload the data to the new project
- create a workflow to perform the following
- overview of raw data
- quality check (outlier samples, batch effects)
- normalization (if there is a systematic effect)
- transformation (usually a log function)
- exploration
- heatmaps. PCA, tSNE, fold changes, profiles
- clustering
- statistical testing
- t-test, anova
- biological interpretation
- pathway analysis, enrichment analysis
- network analysis
The parameters you adjust for are:
- kicking out samples (outliers)
- normalization or not (depends on the data)
- statistical test (t-test or anova)
Overview of raw data
Use a the following visuals to get an overview.
- Heatmap visuals
- Profile visuals
Quality check (outlier samples, batch effects)
There are a range of quality checks Here are some examples:
- Heatmap visuals
- Box plots visuals
Normalization (if there is a systematic effect)
There are a range of normalization techniques Here are some examples:
vsn_operator
normalizer_operator
Transformation (usually a log function)
There are a range of transformation techniques Here are some examples:
log_operator
asinh_operator
Exploration
There are a range of exploration techniques Here are some examples:
- heatmap visuals
- dimension reduction (PCA, tSNE, UMAP)
- fold changes
- profiles
- clustering


FSharpEntity
Namespace: FSharp.Compiler.SourceCodeServices
Attributes:
[<Class>]
A subtype of FSharpSymbol that represents a type definition or module as seen by the F# language
Instance members
| Instance member | Description |
x.AbbreviatedType
Signature: FSharpType
|
Get the type abbreviated by an F# type abbreviation CompiledName: |
x.Accessibility
Signature: FSharpAccessibility
|
Get the declared accessibility of the type CompiledName: |
x.AccessPath
Signature: string
|
Get the path used to address the entity (e.g. "Namespace.Module1.NestedModule2"). Gives "global" for items not in a namespace. CompiledName: |
x.ActivePatternCases
Signature: FSharpActivePatternCase list
|
Get all active pattern cases defined in all active patterns in the module. CompiledName: |
x.AllCompilationPaths
Signature: string list
|
Get all compilation paths, taking CompiledName: |
x.AllInterfaces
Signature: IList<FSharpType>
|
Get all the interface implementations, by walking the type hierarchy CompiledName: |
x.ArrayRank
Signature: int
|
Get the rank of an array type CompiledName: |
x.Attributes
Signature: IList<FSharpAttribute>
|
Get the declared attributes for the type CompiledName: |
x.BaseType
Signature: FSharpType option
|
Get the base type, if any CompiledName: |
x.CompiledName
Signature: string
|
Get the compiled name of the type or module, possibly with `n mangling. This is identical to LogicalName unless the CompiledName attribute is used. CompiledName: |
x.DeclarationLocation
Signature: range
|
Get the declaration location for the type constructor CompiledName: |
x.DeclaredInterfaces
Signature: IList<FSharpType>
|
Get the declared interface implementations CompiledName: |
x.DeclaringEntity
Signature: FSharpEntity option
|
Get the enclosing entity for the definition CompiledName: |
x.DisplayName
Signature: string
|
Get the name of the type or module as displayed in F# code CompiledName: |
x.FSharpDelegateSignature
Signature: FSharpDelegateSignature
|
Indicates if the type is a delegate with the given Invoke signature CompiledName: |
x.FSharpFields
Signature: IList<FSharpField>
|
Get the fields of a record, class, struct or enum from the perspective of the F# language. This includes static fields, the 'val' bindings in classes and structs, and the value definitions in enums. For classes, the list may include compiler generated fields implied by the use of primary constructors. CompiledName: |
x.FullName
Signature: string
|
Get the full name of the type or module CompiledName: |
x.GenericParameters
Signature: IList<FSharpGenericParameter>
|
Get the generic parameters, possibly including unit-of-measure parameters CompiledName: |
x.HasAssemblyCodeRepresentation
Signature: bool
|
Indicates if the type is implemented through a mapping to IL assembly code. This is only true for types in FSharp.Core.dll CompiledName: |
x.HasFSharpModuleSuffix
Signature: bool
|
Indicates that a module is compiled to a class with the given mangled name. The mangling is reversed during lookup CompiledName: |
x.IsArrayType
Signature: bool
|
Indicates if the entity is an array type CompiledName: |
x.IsAttributeType
Signature: bool
|
Check if the entity inherits from System.Attribute in its type hierarchy CompiledName: |
x.IsByRef
Signature: bool
|
Indicates if is the 'byref<_>' type definition used for byref types in F#-compiled assemblies CompiledName: |
x.IsClass
Signature: bool
|
Indicates if the entity is a class type definition CompiledName: |
x.IsDelegate
Signature: bool
|
Indicates if the entity is a delegate type definition CompiledName: |
x.IsEnum
Signature: bool
|
Indicates if the entity is an enum type definition CompiledName: |
x.IsFSharp
Signature: bool
|
Indicates if this is a reference to something in an F#-compiled assembly CompiledName: |
x.IsFSharpAbbreviation
Signature: bool
|
Indicates if the entity is a measure, type or exception abbreviation CompiledName: |
x.IsFSharpExceptionDeclaration
Signature: bool
|
Indicates an F# exception declaration CompiledName: |
x.IsFSharpModule
Signature: bool
|
Indicates if the entity is an F# module definition CompiledName: |
x.IsFSharpRecord
Signature: bool
|
Indicates if the entity is record type CompiledName: |
x.IsFSharpUnion
Signature: bool
|
Indicates if the entity is union type CompiledName: |
x.IsInterface
Signature: bool
|
Indicates if the entity is an interface type definition CompiledName: |
x.IsMeasure
Signature: bool
|
Indicates if the entity is a measure definition CompiledName: |
x.IsNamespace
Signature: bool
|
Indicates if the entity is a part of a namespace path CompiledName: |
x.IsOpaque
Signature: bool
|
Indicates if the entity is a type definition for a reference type where the implementation details are hidden by a signature CompiledName: |
x.IsProvided
Signature: bool
|
Indicates if the entity is a provided type CompiledName: |
x.IsProvidedAndErased
Signature: bool
|
Indicates if the entity is an erased provided type CompiledName: |
x.IsProvidedAndGenerated
Signature: bool
|
Indicates if the entity is a generated provided type CompiledName: |
x.IsStaticInstantiation
Signature: bool
|
Indicates if the entity is a 'fake' symbol related to a static instantiation of a type provider CompiledName: |
x.IsUnresolved
Signature: bool
|
Indicates if the entity is in an unresolved assembly CompiledName: |
x.IsValueType
Signature: bool
|
Indicates if the entity is a struct or enum CompiledName: |
x.LogicalName
Signature: string
|
Get the name of the type or module, possibly with `n mangling CompiledName: |
x.MembersFunctionsAndValues
Signature: IList<FSharpMemberOrFunctionOrValue>
|
Get the properties, events and methods of a type definitions, or the functions and values of a module CompiledName: |
x.MembersOrValues
Signature: IList<FSharpMemberOrFunctionOrValue>
Attributes: [<Obsolete("Renamed to MembersFunctionsAndValues")>] |
WARNING: This API is obsolete
Renamed to MembersFunctionsAndValues CompiledName: |
x.Namespace
Signature: string option
|
Get the namespace containing the type or module, if any. Use 'None' for item not in a namespace. CompiledName: |
x.NestedEntities
Signature: IList<FSharpEntity>
|
Get the modules and types defined in a module, or the nested types of a type CompiledName: |
x.QualifiedName
Signature: string
|
Get the fully qualified name of the type or module CompiledName: |
x.RecordFields
Signature: IList<FSharpField>
Attributes: [<Obsolete("Renamed to FSharpFields")>] |
WARNING: This API is obsolete
Renamed to FSharpFields CompiledName: |
x.RepresentationAccessibility
Signature: FSharpAccessibility
|
Get the declared accessibility of the representation, not taking signatures into account CompiledName: |
x.StaticParameters
Signature: IList<FSharpStaticParameter>
|
Get the static parameters for a provided type CompiledName: |
x.TryFullName
Signature: string option
|
Get the full name of the type or module if it is available CompiledName: |
x.UnionCases
Signature: IList<FSharpUnionCase>
|
Get the cases of a union type CompiledName: |
x.UsesPrefixDisplay
Signature: bool
|
Indicates if the type prefers the "tycon" syntax for display etc. CompiledName: |
x.XmlDoc
Signature: IList<string>
|
Get the in-memory XML documentation for the entity, used when code is checked in-memory CompiledName: |
x.XmlDocSig
Signature: string
|
Get the XML documentation signature for the entity, used for .xml file lookup for compiled code CompiledName: |


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Project 5, deadline December 14, 2018
Stock Market model
Fall semester 2018
Theoretical background and description of the system
The aim of this project is to simulate financial transactions among financial agents
using Monte Carlo methods. The final goal is to extract a distribution of income as function
of the income \( m \). From Pareto's work (V. Pareto, 1897) it is known from empirical studies
that the higher end of the distribution of money follows a distribution
$$
w_m\propto m^{-1-\alpha},
$$
with \( \alpha\in [1,2] \). We will here follow the analysis made by Patriarca and collaborators.
Here we will study numerically the relation between the micro-dynamic relations among financial
agents and the resulting macroscopic money distribution.
We assume we have \( N \) agents that exchange money in pairs \( (i,j) \). We assume also that all agents
start with the same amount of money \( m_0 > 0 \). At a given 'time step', we choose randomly a pair
of agents \( (i,j) \) and let a transaction take place. This means that agent \( i \)'s money \( m_i \) changes
to \( m_i' \) and similarly we have \( m_j\rightarrow m_j' \).
Money is conserved during a transaction, meaning that
$$
\begin{equation}
m_i+m_j=m_i'+m_j'.
\label{eq:conserve}
\end{equation}
$$
The change is done via a random reassignement (a random number) \( \epsilon \), meaning that
$$
\begin{equation*}
m_i' = \epsilon(m_i+m_j),
\end{equation*}
$$
leading to
$$
\begin{equation*}
m_j'= (1-\epsilon)(m_i+m_j).
\end{equation*}
$$
The number \( \epsilon \) is extracted from a uniform distribution.
In this simple model, no agents are left with a debt, that is \( m\ge 0 \).
Due to the conservation law above, one can show that the system relaxes toward an equilibrium
state given by a Gibbs distribution
$$
\begin{equation*}
w_m=\beta \exp{(-\beta m)},
\end{equation*}
$$
with
$$
\begin{equation*}
\beta = \frac{1}{\langle m\rangle},
\end{equation*}
$$
and \( \langle m\rangle=\sum_i m_i/N=m_0 \), the average money.
It means that after equilibrium has been reached that the majority of agents is left with a small
number of money, while the number of richest agents, those with \( m \) larger than a specific value \( m' \),
exponentially decreases with \( m' \).
We assume that we have \( N=500 \) agents. In each simulation, we need a sufficiently large number of transactions, say \( 10^7 \). Our aim is find the final equilibrium distribution \( w_m \). In order to do that we would need
several runs of the above simulations, at least \( 10^3-10^4 \) runs (experiments).
For this project you can collaborate with fellow students and you can hand in a common report.
This project (together with projects 3 and 4) counts 1/3 of the final mark.
Project 5a): Simulation of Transactions
Your task is to first set up an algorithm which simulates the above transactions with an initial
amount \( m_0 \).
The challenge here is to figure out a Monte Carlo simulation based on the
above equations.
You will in particular need to make an algorithm which sets up a histogram as function of \( m \).
This histogram contains the number of times a value \( m \) is registered and represents
\( w_m\Delta m \). You will need to set up a value for the interval \( \Delta m \) (typically \( 0.01-0.05 \)).
That means you need to account for the number of times you register an income in the interval
\( m,m+\Delta m \). The number of times you register this income, represents the value that enters the histogram.
You will also need to find a criterion for when the equilibrium situation has been reached.
Project 5b): Recognizing the distribution
Make thereafter a plot of \( \log{(w_m)} \) as function of \( m \)
and see if you get a straight line.
Comment the result.
Project 5c): Transactions and savings
We can then change our model to allow for a saving criterion, meaning that the agents save
a fraction \( \lambda \) of the money they have before the transaction is made. The final distribution will then no longer be given by Gibbs distribution. It could also include a taxation on financial transactions.
The conservation law of Eq. \eqref{eq:conserve} holds, but the money to be shared in a transaction between
agent \( i \) and agent \( j \) is now \( (1-\lambda)(m_i+m_j) \). This means that we have
$$
\begin{equation*}
m_i' = \lambda m_i+\epsilon(1-\lambda)(m_i+m_j),
\end{equation*}
$$
and
$$
\begin{equation*}
m_j' = \lambda m_j+(1-\epsilon)(1-\lambda)(m_i+m_j),
\end{equation*}
$$
which can be written as
$$
\begin{equation*}
m_i'=m_i+\delta m
\end{equation*}
$$
and
$$
\begin{equation*}
m_j'=m_j-\delta m,
\end{equation*}
$$
with
$$
\begin{equation*}
\delta m=(1-\lambda)(\epsilon m_j-(1-\epsilon)m_i),
\end{equation*}
$$
showing how money is conserved during a transaction.
Select values of \( \lambda =0.25,0.5 \) and \( \lambda=0.9 \) and try to extract the corresponding
equilibrium distributions and compare these with the Gibbs distribution. Comment your results.
Extract a parametrization of the above curves, see for example Patriarca and collaborators and see if you can parametrize the high-end tails of the distributions in terms of power laws. Comment your results.
Project 5d): Nearest neighbor interactions
In the rest of this project we will follow the work of Goswami and Sen.
In the studies above the agents were selected randomly, irrespective of whether we allowed for
saving or not during a transaction. What is often observed is that various agents tend to make preferences for for whom to interact with. We will now study the evolution of the distribution of wealth \( w_m \) by assuming that there is a likelihood
$$
p_{ij} \propto \vert m_i-m_j\vert^{-\alpha},
$$
for an interaction between agents \( i \) and \( j \) with respective wealths \( m_i \) and \( m_j \). The parameter \( \alpha > 0 \). For \( \alpha=0 \) we recover our model from part 5a).
Perform the same analysis as previously with \( N=500 \) as well as with \( N=1000 \) agents and study the distribution of wealth for \( \alpha =0.5 \), \( \alpha =1.0 \), \( \alpha =1.5 \) and \( \alpha =2.0 \).
You should try to reproduce Figure 1 of Goswami and Sen.
Extract the tail of the distribution and see if it follows a Pareto distribution
$$
w_m\propto m^{-1-\alpha}.
$$
What happens if \( \alpha \gg 1 \)?
Perform the analysis with and without a saving \( \lambda \) on each transaction and comment your results.
Project 5e): Nearest neighbors and former transactions
We add to the previous probability the possibility that two agents who interact have performed similar transactions earlier. That is, in addition to being financially close, we assume that the likelihood for interacting increases if two agents have interacted earlier.
We add this feature by modifying the previous likelihood to
$$
p_{ij} \propto \vert m_i-m_j\vert^{-\alpha}\left(c_{ij}+1\right)^{\gamma},
$$
where \( c_{ij} \) represents the number of previous interactions that have taken place between \( i \) and \( j \). The factor \( 1 \) is added in order to ensure that if they have not interacted earlier they can still interact. Perform similar studies as above with \( N=1000 \), \( \alpha=1.0 \) and \( \alpha=2.0 \) using \( \gamma = 0.0, 1.0, 2.0, 3.0 \) and \( 4.0 \). Plot the wealth distributions for these cases and try to extract eventual power law tails with and without a saving \( \lambda \) in each transaction. Comment your results and compare them with figures 5 and 6 of Goswami and Sen.
Finally, (this part is optional) if you have time, which features would you add to these models in order to make them even more realistic?
Background literature
Introduction to numerical projects
Here follows a brief recipe and recommendation on how to write a report for each
project.
- Give a short description of the nature of the problem and the eventual numerical methods you have used.
- Describe the algorithm you have used and/or developed. Here you may find it convenient to use pseudocoding. In many cases you can describe the algorithm in the program itself.
- Include the source code of your program. Comment your program properly.
- If possible, try to find analytic solutions, or known limits in order to test your program when developing the code.
- Include your results either in figure form or in a table. Remember to label your results. All tables and figures should have relevant captions and labels on the axes.
- Try to evaluate the reliabilty and numerical stability/precision of your results. If possible, include a qualitative and/or quantitative discussion of the numerical stability, eventual loss of precision etc.
- Try to give an interpretation of you results in your answers to the problems.
- Critique: if possible include your comments and reflections about the exercise, whether you felt you learnt something, ideas for improvements and other thoughts you've made when solving the exercise. We wish to keep this course at the interactive level and your comments can help us improve it.
- Try to establish a practice where you log your work at the computerlab. You may find such a logbook very handy at later stages in your work, especially when you don't properly remember what a previous test version of your program did. Here you could also record the time spent on solving the exercise, various algorithms you may have tested or other topics which you feel worthy of mentioning.
Format for electronic delivery of report and programs
The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008 or Python. The following prescription should be followed when preparing the report:
- Use Devilry to hand in your projects, log in at http://devilry.ifi.uio.no with your normal UiO username and password and choose either 'fys3150' or 'fys4150'. There you can load up the files within the deadline.
- Upload only the report file! For the source code file(s) you have developed please provide us with your link to your github domain. The report file should include all of your discussions and a list of the codes you have developed. Do not include library files which are available at the course homepage, unless you have made specific changes to them.
- In your git repository, please include a folder which contains selected results. These can be in the form of output from your code for a selected set of runs and input parametxers.
- In this and all later projects, you should include tests (for example unit tests) of your code(s).
- Comments from us on your projects, approval or not, corrections to be made etc can be found under your Devilry domain and are only visible to you and the teachers of the course.
Finally,
we encourage you to work two and two together. Optimal working groups consist of
2-3 students. For this specific report you can hand in a common report.


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Get Started!
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+849<IP_ADDRESS>


(Defined in: jpgraph_iconplot.php : 17)
Class usage and Overview
Make it possible to add one or several images on top of the background in the graph. This is constructed in the same way as normal plots are created and the images are added as normal with the GRaph::Add() method.
It is possoble to specify arbitrary positions as well as mix (blend) and scaling.
Example:
$icon = new IconPlot('myicon.png',0.5,0.5);
..
$graph->Add($icon);
Class Methods
| Argument | Default | Description |
|
$aStr
| | No description available |
Description:
No description available.
// Nothing to do ...
| Argument | Default | Description |
|
$aGraph
| | No description available |
Description:
No description available.
Description:
No description available.
Description:
No description available.
// The next four function are framework function tht gets called// from Gantt and is not menaiungfull in the context of Icons but// they must be implemented to avoid errors.
Description:
No description available.
Description:
No description available.
Description:
No description available.
// Nothing to do ...
Description:
No description available.
Description:
No description available.
| Argument | Default | Description |
|
$aGraph
| | No description available |
Description:
No description available.
Specify anchor point for image
| Argument | Default | Description |
|
$aXAnchor
|
'left'
| Horizontal anchor |
|
$aYAnchor
|
'center'
| Verticla anchor |
Description:
Specify anchor point for image.
Horizontal anchor can be "left','center','right' and vertical anchor can be 'top','center','bottom'
By default the anchor is the top left corner ('left','top')
$icon->SetAnchor('center','center');
Use one of the country flags as icons
| Argument | Default | Description |
|
$aFlag
| | Partial or full country name |
|
$aX
|
0
| X-position |
|
$aY
|
0
| Y-position |
|
$aScale
|
1.0
| Scaleing of image |
|
$aMix
|
100
| Blend factor (0-100) |
|
$aStdSize
|
3
| Which of the flag standard sizes should be used as the original image (1-4) |
Description:
Use one of the country flags as icons
$icon = new IconPlot();
$icon->SetCountryFlag('norway',0.1,0.1);
Specify mix value in percent (0-100) for image-
| Argument | Default | Description |
|
$aMix
| | Mix value (0-100) |
Description:
Specify mix value in percent (0-100) for image. The mix value can also be specified directly in the constructor IconPlot().
$icon->SetMix(50);
Specify position for image
| Argument | Default | Description |
|
$aX
| | X-position |
|
$aY
| | Y-position |
Description:
Specify position for image. Position can be specified as either absolute coordinates or as fractions of the width and height.
The anchor point in the image can be adjusted with a call to SetAnchor(). By default the anchor point is the top left corner.
See also:
$icon->SetPos(0.5,0.5);
Set scaling for image
| Argument | Default | Description |
|
$aScale
| | Scale value. |
Description:
Set scaling for image. This allows you to adjust the size of the image.
$icon->SetScale(0.8);
| Argument | Default | Description |
|
$aX
| | No description available |
|
$aY
| | No description available |
Description:
No description available.
| Argument | Default | Description |
|
&$aImg
| | No description available |
Description:
No description available.
| Argument | Default | Description |
|
$aImg
| | No description available |
|
$axscale
| | No description available |
|
$ayscale
| | No description available |
Description:
No description available.
| Argument | Default | Description |
|
$aImg
| | No description available |
|
$x
|
null
| No description available |
|
$y
|
null
| No description available |
|
$aReturnWidthHeight
|
false
| No description available |
Description:
No description available.
Create a new icon image to be added to the graph
| Argument | Default | Description |
|
$aFile
|
""
| File name of image |
|
$aX
|
0
| X-position |
|
$aY
|
0
| Y-position |
|
$aScale
|
1.0
| Scale |
|
$aMix
|
100
| Mixin value |
Description:
Create a new icon image to be added to the graph. The position can be specified as either absolute coordinates or as fractions of the width and height repsectively.
Scale can be an arbitrary floating point number indicating the scaling of the image.
The mix values specifies (in percent 1-100) how much of the image should be mixed in on top of the background.
$icon = new IconPlot('myfile.png',0.5,0.5,1,50);


Jon de Andrés
I'm Jon and actually I'm working at Wuaki.tv. I live in Barcelona for more than 3 years and a half. I like developing software and learning to develop better software.
You can find me on Twitter or send me an email.
--- layout: layout title: "About Jon de Andrés" ---
I'm Jon and actually I'm working at Wuaki.tv. I live in Barcelona for more than 3 years and a half. I like developing software and learning to develop better software.
You can find me on Twitter or send me an email.


The Valassis color palette consists of three primary colors and two secondary colors. Our primary colors should be used by default, while secondary colors should serve as supporting colors.
#121C4F
RGB18 / 28 / 79
CMYK100 / 96 / 36 / 38
#FF4141
RGB255 / 65 / 65
CMYK0 / 88 / 74 / 0
#3452F4
RGB52 / 82 / 244
CMYK87 / 55 / 0 / 0
#031B92
RGB3 / 27 / 146
CMYK100 / 96 / 10 / 5
#FED189
RGB254 / 209 / 137
CMYK0 / 19 / 52 / 0


Protocol Initialization
DogeMeUp is successfully listed on Bakery Swap and users are able to add liquidity to the pool and swap for different coins.
DogeMeUp is a DeFi Token made by the people for the people! It is a decentralized open-source cryptocurrency which offers various levels of private transactions. First Altcoin dedicated to the study of Quantum mining using qubits.
Performance
Speed
Acknowledgements
DMU provides an easy program enabling ordinary people to transact efficiently across an existing blockchain-based network.
While DMU rises in popularity, more and more prospect investors will seek out partner businesses to transact with which in effect will allow integration of DMU with actual businesses!
DMU aims to use the bulk of its resources in researching for quantum mining, its behavior and implications in the present era. The long-term mission would be the exploitation of the aforementioned objectives for business purposes.
DogeMeUp is successfully listed on Bakery Swap and users are able to add liquidity to the pool and swap for different coins.
The DMU currency will be looking into integration with actual online businesses to enable ease-of-transaction for DMU holders.
The team will produce a dynamic mobile app displaying the available markets accepting DMU coins. Other auxilliary functions will be sourced from DMU customers through votation.
DMU will come to its final fruition as an alternative coin to Doge and fulfill its goal of funding Quantum mining research through sourcing from the dynamic mobile app for business transactions. A very bright future awaits from constant funding of the research and the ultimate goal of creating new markets.
    A step-by-step guide on how to buy DMU


{% extends "layout.html" %} {% block body %}
{%trans%}Back to home{%endtrans%}
{{ errors }}
{%trans%}An email should arrive shortly. If you need help, contact{%endtrans%} {{_cfg("your-email")}}.


|
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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use Heuristic | |
|---|---|
| com.hp.hpl.jena.sparql.engine.optimizer.core | |
| com.hp.hpl.jena.sparql.engine.optimizer.heuristic | |
| com.hp.hpl.jena.sparql.suites.optimizer |
| Uses of Heuristic in com.hp.hpl.jena.sparql.engine.optimizer.core |
|---|
| Constructors in com.hp.hpl.jena.sparql.engine.optimizer.core with parameters of type Heuristic | |
|---|---|
BasicPatternGraph(BasicPattern pattern,
Heuristic heuristic)
Init the BasicPatternGraph of a BasicPattern as a list of connected graphs. |
| Uses of Heuristic in com.hp.hpl.jena.sparql.engine.optimizer.heuristic |
|---|
| Subclasses of Heuristic in com.hp.hpl.jena.sparql.engine.optimizer.heuristic | |
|---|---|
class |
GraphStatisticsHeuristic
This heuristic is a wrapper around the Jena graph statistics handler which returns exact selectivities for SPO. |
class |
HeuristicBasicPattern
The abstract class defines the methods required for implementations of cost estimators for BasicPatterns. |
class |
OptimalNoStats
This is the default heuristic used in ARQ which does not require any pre-computed statistics |
class |
ProbabilisticFramework
The heuristics is a wrapper to the probabilistic framework. |
class |
ProbabilisticFrameworkJoin
The heuristics is a wrapper to the probabilistic framework. |
class |
VariableCounting
This heuristic implements a simple variable counting technique to estimate the execution cost of edges and nodes of graphs (i.e. |
class |
VariableCountingUnbound
This heuristic is very similar to the variable counting heuristic, though it gives weight 1.0 to bound predicate joins. |
| Methods in com.hp.hpl.jena.sparql.engine.optimizer.heuristic that return Heuristic | |
|---|---|
Heuristic |
HeuristicsRegistry.get(java.lang.String heuristic)
Extract a heuristic instance given it's name, which is used as key for the registry. |
| Methods in com.hp.hpl.jena.sparql.engine.optimizer.heuristic with parameters of type Heuristic | |
|---|---|
void |
HeuristicsRegistry.add(java.lang.String name,
Heuristic heuristic)
Add a heuristic to the registry including the instance of the heuristic and the corresponding name. |
| Uses of Heuristic in com.hp.hpl.jena.sparql.suites.optimizer |
|---|
| Methods in com.hp.hpl.jena.sparql.suites.optimizer that return Heuristic | |
|---|---|
static Heuristic |
Util.getHeuristic(java.lang.String heuristic,
Context context,
com.hp.hpl.jena.graph.Graph graph)
|
|
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| PREV NEXT | FRAMES NO FRAMES |


More details at http://mrjakeparker.com/inktober
Using embed.ly to extract media from twitter. See project on github for more info.


Past (and Present) Work
-
Salt - A product of American Student Assistance
A student financial aid assistance website I developed as a member of the Salt application team at American Student Assistance from July 2016 - May 2018.
-
Event Horizon
A POC landing page for an event hosting website.
-
The City
A work-in-progress React.js text-adventure game exploring a war-torn Boston City Hall.
-
Worship - The Game
A Java village-god simulator.


|
CommandLib
Classes that simplify coordination of asynchronous and synchronous activities
|
This class represents an object that can be waited upon until it enters a signaled state. The reason for its existence is so that it can be added to a WaitGroup object, thus allowing a wait for multiple objects (a feature available in Windows but not in other operating systems). More...
#include <Waitable.h>
Public Types | |
| typedef std::shared_ptr< const Waitable > | ConstPtr |
| Shared pointer to a non-modifyable Waitable object More... | |
| typedef std::shared_ptr< Waitable > | Ptr |
| Shared pointer to a Waitable object More... | |
Public Member Functions | |
| bool | AddListener (std::shared_ptr< WaitMonitor > listener) |
| Add a listener for when this object becomes signaled More... | |
| bool | RemoveListener (std::shared_ptr< WaitMonitor > listener) |
| Removes the listener for when this object becomes signaled More... | |
| virtual bool | IsSignaled () const =0 |
| Indicates whether or not this object is in a signaled state More... | |
| virtual void | Wait () const =0 |
| Waits until this object is in a signaled state More... | |
| virtual bool | Wait (long long ms) const =0 |
| Waits the given milliseconds until this object is in a signaled state More... | |
| template<typename Rep , typename Period > | |
| bool | WaitFor (const std::chrono::duration< Rep, Period > &dur) const |
| Waits the given duration until this object is in a signaled state More... | |
Protected Member Functions | |
| void | NotifyListeners () |
| Implementations should call this when this object is signaled More... | |
This class represents an object that can be waited upon until it enters a signaled state. The reason for its existence is so that it can be added to a WaitGroup object, thus allowing a wait for multiple objects (a feature available in Windows but not in other operating systems).
| typedef std::shared_ptr<const Waitable> CommandLib::Waitable::ConstPtr |
Shared pointer to a non-modifyable Waitable object
| typedef std::shared_ptr<Waitable> CommandLib::Waitable::Ptr |
Shared pointer to a Waitable object
| bool CommandLib::Waitable::AddListener | ( | std::shared_ptr< WaitMonitor > | listener | ) |
Add a listener for when this object becomes signaled
| listener | The listener to add |
This method is thread safe
|
pure virtual |
Indicates whether or not this object is in a signaled state
Implemented in CommandLib::Event.
|
protected |
Implementations should call this when this object is signaled
| bool CommandLib::Waitable::RemoveListener | ( | std::shared_ptr< WaitMonitor > | listener | ) |
Removes the listener for when this object becomes signaled
| listener | The listener to remove |
This method is thread safe
|
pure virtual |
Waits until this object is in a signaled state
This will return immediately if this object is currently signaled
Implemented in CommandLib::Event.
|
pure virtual |
Waits the given milliseconds until this object is in a signaled state
| ms | The number of milliseconds to wait |
This will return immediately if this object is currently signaled.
Implemented in CommandLib::Event.
|
inline |
Waits the given duration until this object is in a signaled state
| dur | The duration to wait |
This will return immediately if this object is currently signaled.


Adrian Lam
BERT (a transformer model by Google) has shown to be effective at solving a variety of natural language problems. But can it find the asshole(s) in an interpersonal conflict?
The AITA subreddit allows users (the original poster aka OP) to post a conflict they experienced. Other users then decide which of the four judgements apply
The rules of the subreddit enforce that a comment MUST contain a judgement making it an excellent dataset for scraping. Posts can be scraped by using a combination of praw and pushshift
A quick inspection shows that most OPs are not assholes. NAH/ESH posts are in the minority.
To construct a dataset for modeling, we need to determine how to properly featurize the data and code the asshole labels.
There are two main items we can use for features - the title and the narrative of the post. While users can be influenced from the title, the narrative is ultimately what decides the judgement. The narrative itself is easily featurized with a tokenizer.
We can use the latest and greatest language models
To see how well different language models could generalize across new tasks, model weights were frozen. The pooled outputs representing the contextualized word embeddings were fed into a few fully connected layers and a classification tail. All language model weights were obtained from huggingface.
Four different types of models were evaluated:


“Pare ambāṭakārāme,
vanasaṇḍamhi bhaddiyo;
Samūlaṁ taṇhamabbuyha,
tattha bhaddova jhāyati.
Bhaddiya has plucked out craving, root and all,
and in a jungle thicket
on the far side of the Wild Mango Monastery,
he practices absorption; he is truly well-favoured.
Ramanteke mudiṅgehi,
vīṇāhi paṇavehi ca;
Ahañca rukkhamūlasmiṁ,
rato buddhassa sāsane.
Some delight in clay drums,
in arched harps, and in cymbals.
But here, at the foot of a tree,
I delight in the Buddha’s teaching.
Buddho ce me varaṁ dajjā,
so ca labbhetha me varo;
Gaṇhehaṁ sabbalokassa,
niccaṁ kāyagataṁ satiṁ.
If the Buddha were to grant me one wish,
and I were to get what I wished for,
I’d choose for the whole world
constant mindfulness of the body.
Ye maṁ rūpena pāmiṁsu,
ye ca ghosena anvagū;
Chandarāgavasūpetā,
na maṁ jānanti te janā.

Ajjhattañca na jānāti,
bahiddhā ca na passati;
Samantāvaraṇo bālo,
sa ve ghosena vuyhati.

Ajjhattañca na jānāti,
bahiddhā ca vipassati;
Bahiddhā phaladassāvī,
sopi ghosena vuyhati.
Not knowing what’s inside,
but seeing what’s outside,
seeing the fruit outside,
they’re also carried away by a voice.
Ajjhattañca pajānāti,
bahiddhā ca vipassati;
Anāvaraṇadassāvī,
na so ghosena vuyhatī”ti.
… Lakuṇḍakabhaddiyo thero ….
Understanding what’s inside,
and seeing what’s outside,
seeing without obstacles,
they don’t get carried away by a voice.


Ui is most Important technologyfor frontend of any website. Html is the base one for Entire UI. CSS adds styles to the existing webpage
The formula for water is h2o
The value of 33 is 27
The cost of product is Rs1000 700/-
UI is
difficult
/easy language
Srinivas<EMAIL_ADDRESS>88*****99 durgasoft maitrivanam hyderabad


Congratulations
This application was deployed using AWS CodeDeploy.
Stay hungry!!!Once More!
So insteresting!
For next steps, read the
AWS CodeDeploy Documentation
.


| windows {grDevices} | R Documentation |
A graphics device is opened. For windows
, win.graph
,
x11
and X11
this is a window on the current
Windows display: the multiple names are for compatibility with other
systems. win.metafile
prints to a file and win.print
to
the Windows print system.
windows(width, height, pointsize, record, rescale, xpinch, ypinch, bg, canvas, gamma, xpos, ypos, buffered, title, restoreConsole, clickToConfirm, fillOddEven, family, antialias) win.graph(width, height, pointsize) x11(width, height, pointsize, bg, gamma, xpos, ypos, title) X11(width, height, pointsize, bg, gamma, xpos, ypos, title) win.metafile(filename = "", width = 7, height = 7, pointsize = 12, family, restoreConsole = TRUE) win.print(width = 7, height = 7, pointsize = 12, printer = "", family, antialias, restoreConsole = TRUE)
width, height |
the (nominal) width and height of the canvas of
the plotting window in inches. Default |
pointsize |
the default pointsize of plotted text, interpreted as
big points (1/72 inch). Values are rounded to the nearest integer:
values less than or equal to zero are reset to |
record |
logical: sets the initial state of the flag for
recording plots. Default |
rescale |
character, one of |
xpinch, ypinch |
double. Pixels per inch, horizontally and
vertically. Default |
bg |
color. The initial background color. Default
|
canvas |
color. The color of the canvas which is visible
when the background color is transparent. Should be a solid color
(and any alpha value will be ignored). Default |
gamma |
gamma correction fudge factor. Colours in R are sRGB; if your monitor does not conform to sRGB, you might be able to improve things by tweaking this parameter to apply additional gamma correction to the RGB channels. By default 1 (no additional gamma correction). |
xpos, ypos |
integer. Position of the top left of the window, in
pixels. Negative values are taken from the opposite edge of the
monitor. Missing values (the default) mean take the default from the
‘Rconsole’ file, which in turn defaults to
|
buffered |
logical. Should the screen output be double-buffered?
Default |
title |
character string, up to 100 bytes. With the default
|
filename |
the name of the output file: it will be an enhanced
Windows metafile, usually given extension ‘.emf’ or
‘.wmf’. Up to 511 characters are allowed. The page number is
substituted if an integer format is included in the character
string (see |
printer |
The name of a printer as known to Windows. The default causes a dialog box to come up for the user to choose a printer. |
restoreConsole |
logical: see the ‘Details’ below. Defaults to
|
clickToConfirm |
logical: if true confirmation of a new frame
will be by clicking on the device rather than answering a problem in
the console. Default |
fillOddEven |
logical controlling the polygon fill mode: see
|
family |
A length-one character vector specifying the default font family. See section ‘Fonts’. |
antialias |
A length-one character vector, requesting control
over font antialiasing. This is partially matched to
|
All these devices are implemented as variants of the same device.
All arguments of windows
have defaults set by
windows.options
: the defaults given in the arguments section
are the defaults for the defaults. These defaults also apply to the
internal values of gamma
, xpinch
, ypinch
,
buffered
, restoreConsole
and antialias
for
win.graph
, x11
and X11
.
The size of a window is computed from information provided about the
display: it depends on the system being configured accurately.
By default a screen device asks Windows for the number of pixels per
inch. This can be overridden (it is often wrong) by specifying
xpinch
and ypinch
, most conveniently via
windows.options
. For example, a 13.3 inch 1280x800
screen (a typical laptop display) was reported as 96 dpi even though
it is physically about 114 dpi.
The different colours need to be distinguished carefully. Areas
outside the device region are coloured in the Windows application background
colour. The device region is coloured in the canvas colour. This is
over-painted by the background colour of a plot when a new page is
called for, but that background colour can be transparent (and is by
default). One difference between setting the canvas colour and the
background colour is that when a plot is saved the background
colour is copied but the canvas colour is not. The argument bg
sets the initial value of par("bg")
in base graphics and
gpar("fill")
in grid graphics
Recorded plot histories are of class "SavedPlots"
. They have a
print
method, and a subset method. As the individual plots are
of class "recordedplot"
they can be replayed by printing them:
see recordPlot
. The active plot history is stored in
variable .SavedPlots
in the workspace.
When a screen device is double-buffered (the default) the
screen is updated 100ms after last plotting call or every 500ms during
continuous plotting. These times can be altered by setting
options("windowsTimeout")
to a vector of two integers before
opening the device.
Line widths as controlled by par(lwd =)
are in multiples of
1/96inch. Multiples less than 1 are allowed, down to one pixel width.
For win.metafile
only one plot is allowed per file, and Windows
seems to disallow reusing the file. So the only way to allow
multiple plots is to use a parametrized filename
as in the
example. If the filename
is omitted (or specified as
""
), the output is copied to the clipboard when the device is
closed.
The restoreConsole
argument is a temporary fix for a problem
in the current implementation of several Windows graphics devices,
and is likely to be removed in an upcoming release. If set to
FALSE
, the console will not receive the focus after the new
device is opened.
There is support for semi-transparent colours of lines, fills and text on the screen devices. These work for saving (from the ‘File’ menu) to PDF, PNG, BMP, JPEG and TIFF, but will be ignored if saving to Metafile and PostScript. Limitations in the underlying Windows API mean that a semi-transparent object must be contained strictly within the device region (allowing for line widths and joins).
A plot device is opened: nothing is returned to the R interpreter.
If a screen device is re-sized, the default behaviour ("R"
) is
to redraw the plot(s) as if the new size had been specified
originally. Using "fit"
will rescale the existing plot(s) to
fit the new device region, preserving the aspect ratio. Using
"fixed"
will leave the plot size unchanged, adding scrollbars
if part of the plot is obscured.
A graphics window will never be created at more than 85% of
the screen width or height, but can be resized to a larger size.
For the first two rescale
options the width and height are
rescaled proportionally if necessary, and if rescale = "fit"
the plot(s) are rescaled accordingly. If rescale = "fixed"
the initially displayed portion is selected within these constraints,
separately for width and height. In MDI mode,
the limit is 85% of the MDI client region.
Using strwidth
or strheight
after a window
has been rescaled (when using "fit"
) gives dimensions in the
original units, but only approximately as they are derived from the
metrics of the rescaled fonts (which are in integer sizes)
The displayed region may be bigger than the ‘paper’ size, and
area(s) outside the ‘paper’ are coloured in the Windows
application background colour. Graphics parameters such as
"din"
refer to the scaled plot if rescaling is in effect.
The fonts used for text drawn in a Windows device may be controlled in
two ways. The file R_HOME\etc\Rdevga
can be used to
specify mappings for par(font =)
(or the grid equivalent).
Alternatively, a font family can be specified by a non-empty
family
argument (or by e.g. par(family =)
in the graphics
package) and this will be used for fonts 1:4 via the Windows font
database (see windowsFonts
).
How the fonts look depends on the antialiasing settings, both through
the antialias
argument and the machine settings. These are
hints to Windows GDI that may not be able to be followed, but
antialias = "none"
should ensure that no antialiasing is used.
For a screen device the default depends on the machine settings: it
will be "cleartype"
if that has been enabled. Note that the
greyscale antialiasing that is used only for small fonts (below about
9 pixels, around 7 points on a typical display).
When accessing a system through Remote Desktop, both the Remote Desktop settings and the user's local account settings are relevant to whether antialiasing is used.
Some fonts are intended only to be used with ClearType antialiasing,
for example the Meiryo
Japanese font.
This section describes the implementation of the conventions for graphics devices set out in the “R Internals Manual”.
The default device size is 7 inches square, although this is often incorrectly implemented by Windows: see ‘Details’.
Font sizes are in big points.
The default font family is Arial.
Line widths are as a multiple of 1/96 inch, with a minimum of one pixel.
The minimum radius of a circle is 1 pixel.
pch = "."
with cex = 1
corresponds to a rectangle of sides
the larger of one pixel and 0.01 inch.
Colours are interpreted via the unprofiled colour mapping of the graphics card – this is assumed to conform to sRGB.
windowsFonts
,
savePlot
, bringToTop
,
Devices
, postscript
## Not run: ## A series of plots written to a sequence of metafiles win.metafile("Rplot%02d.wmf", pointsize = 10) ## End(Not run)


In order to marry the princess, king Jakoma needs to find his lost treasure. find it to get his blessing :D


Featured Work
This is my featured work section.
Memory Game
View ProjectClassic Arcade Game
View ProjectFeed Reader Testing
View ProjectRestaurant Review App
View ProjectAbout Me
Hello! I'm Jackie D'Elia and I live in Charlotte NC, but spent most of my life in Houston, Texas. I am a designer and front-end developer who loves to share what I’ve learned. I specialize in web animations, SVG and grid layouts. I believe in and embrace continuous learning. Today my focus is on helping others do the same.
I’ve spent most of my career in technology from building a software company to creating an e-commerce business mentioned in the Wall Street Journal.
I graduated from Texas A&M University with a BS in Horticulture. Yes, that’s right — the science of cultivating plants! To me, nature is the perfect combination of math, science, and design. Are you sensing a theme here?
My spare time
I love gardening. I am “Lucky with Plants”. They just grow for me. There is a six foot tall Ficus Alii tree in my living room that I grew from a cutting. The list goes on.
I’m a geek at heart and a huge sci-fi fan. Time travel, warp speed, transporters, I'm in.
Organically growing food, and photographing it, I’m in.
Seems I’m always hanging out where the left and right brain meet. It’s really cool here.


Next: Examples Using printf
, Previous: Format-Control Letters, Up: Using printf
Statements for Fancier Printing [Contents][Index]
printf
FormatsA format specification can also include modifiers that can control how much of the item’s value is printed, as well as how much space it gets. The modifiers come between the ‘%’ and the format-control letter. We use the bullet symbol “•” in the following examples to represent spaces in the output. Here are the possible modifiers, in the order in which they may appear:
N$
An integer constant followed by a ‘$’ is a positional specifier. Normally, format specifications are applied to arguments in the order given in the format string. With a positional specifier, the format specification is applied to a specific argument, instead of what would be the next argument in the list. Positional specifiers begin counting with one. Thus:
printf "%s %s\n", "don't", "panic" printf "%2$s %1$s\n", "panic", "don't"
prints the famous friendly message twice.
At first glance, this feature doesn’t seem to be of much use.
It is in fact a gawk
extension, intended for use in translating
messages at runtime.
See Rearranging printf
Arguments,
which describes how and why to use positional specifiers.
For now, we ignore them.
-
(Minus)The minus sign, used before the width modifier (see later on in this list), says to left-justify the argument within its specified width. Normally, the argument is printed right-justified in the specified width. Thus:
printf "%-4s", "foo"
prints ‘foo•’.
For numeric conversions, prefix positive values with a space and negative values with a minus sign.
+
The plus sign, used before the width modifier (see later on in this list), says to always supply a sign for numeric conversions, even if the data to format is positive. The ‘+’ overrides the space modifier.
#
Use an “alternative form” for certain control letters. For ‘%o’, supply a leading zero. For ‘%x’ and ‘%X’, supply a leading ‘0x’ or ‘0X’ for a nonzero result. For ‘%e’, ‘%E’, ‘%f’, and ‘%F’, the result always contains a decimal point. For ‘%g’ and ‘%G’, trailing zeros are not removed from the result.
0
A leading ‘0’ (zero) acts as a flag indicating that output should be padded with zeros instead of spaces. This applies only to the numeric output formats. This flag only has an effect when the field width is wider than the value to print.
'
A single quote or apostrophe character is a POSIX extension to ISO C. It indicates that the integer part of a floating-point value, or the entire part of an integer decimal value, should have a thousands-separator character in it. This only works in locales that support such characters. For example:
$ cat thousands.awk Show source program -| BEGIN { printf "%'d\n", 1234567 } $ LC_ALL=C gawk -f thousands.awk -| 1234567 Results in "C" locale $ LC_ALL=en_US.UTF-8 gawk -f thousands.awk -| 1,234,567 Results in US English UTF locale
For more information about locales and internationalization issues, see Where You Are Makes a Difference.
NOTE: The ‘'’ flag is a nice feature, but its use complicates things: it becomes difficult to use it in command-line programs. For information on appropriate quoting tricks, see Shell Quoting Issues.
This is a number specifying the desired minimum width of a field. Inserting any number between the ‘%’ sign and the format-control character forces the field to expand to this width. The default way to do this is to pad with spaces on the left. For example:
printf "%4s", "foo"
prints ‘•foo’.
The value of width is a minimum width, not a maximum. If the item value requires more than width characters, it can be as wide as necessary. Thus, the following:
printf "%4s", "foobar"
prints ‘foobar’.
Preceding the width with a minus sign causes the output to be padded with spaces on the right, instead of on the left.
.prec
A period followed by an integer constant specifies the precision to use when printing. The meaning of the precision varies by control letter:
%d
, %i
, %o
, %u
, %x
, %X
Minimum number of digits to print.
%e
, %E
, %f
, %F
Number of digits to the right of the decimal point.
%g
, %G
Maximum number of significant digits.
%s
Maximum number of characters from the string that should print.
Thus, the following:
printf "%.4s", "foobar"
prints ‘foob’.
The C library printf
’s dynamic width and prec
capability (e.g., "%*.*s"
) is supported. Instead of
supplying explicit width and/or prec values in the format
string, they are passed in the argument list. For example:
w = 5 p = 3 s = "abcdefg" printf "%*.*s\n", w, p, s
is exactly equivalent to:
s = "abcdefg" printf "%5.3s\n", s
Both programs output ‘••abc’.
Earlier versions of awk
did not support this capability.
If you must use such a version, you may simulate this feature by using
concatenation to build up the format string, like so:
w = 5 p = 3 s = "abcdefg" printf "%" w "." p "s\n", s
This is not particularly easy to read, but it does work.
C programmers may be used to supplying additional modifiers (‘h’,
‘j’, ‘l’, ‘L’, ‘t’, and ‘z’) in printf
format strings. These are not valid in awk
. Most awk
implementations silently ignore them. If --lint is provided
on the command line (see Command-Line Options), gawk
warns about their
use. If --posix is supplied, their use is a fatal error.
Next: Examples Using printf
, Previous: Format-Control Letters, Up: Using printf
Statements for Fancier Printing [Contents][Index]


United Party Quest - Comment Policy
United Party Quest Websites!!United Party Quest - Comment Policy
Rules And Policy Is About The Same Things
Please Be Fair Cause Fair Is Fun... Fair
Rules And Policy Is About The Same Things
Please Be Fair Cause Fair Is Fun... Fair


Favourite Things
A simple trivia about me.
Are my top three comfort foods.
Others may say "LOVE is all we need";
Oh but wait.. Dont you forget about
A scope of an ICE CREAM,
A slice of a CAKE and
A cup of TEA
that brings the same happiness too!
HEY YOU!
×
Good or bad day, ICE CREAM will save the day!
HEY YOU!
×
We only live once!
HEY YOU!
×
If theres a TEA, theres a hope!


| standardise_aes_names {ggplot2} | R Documentation |
This function standardises aesthetic names by converting color
to colour
(also in substrings, e.g. point_color
to point_colour
) and translating old style
R names to ggplot names (eg. pch
to shape
, cex
to size
).
standardise_aes_names(x)
x |
Character vector of aesthetics names, such as |
Character vector of standardised names.


This inspection reports functions with
SuccessOrFailure
result.
SuccessOrFailure
should never be used as return type. Throw exception, or use nullable type, or use domain-specific result class to indicate failure.


Tides
Today
About
Stations
Leith
Poole
[[12:30]]
[[HW]]
[[1.5m]]
Take these tide times with a pinch of salt. (Get it? Pinch of salt? Salt water? No? Oh well.) They are calculated using data from 2004, don't take into account current weather conditions or changes in sea level so are only accurate to 30 minutes.
Big


I was stupidly wondering why won't my /usr/bin/make won't work. Posted many emails in past 3-4 days and ultimately it took installation of make_3.80-9_hurd-i386.deb to make the 'make' utility work. The original make binary was just corrupt i guess.
No luck with Xfree86 installation dependencies, no progress with setting up network access.
One more useful thing I learnt yesterday. How to get your IP address, Gateway and Network mask. These three are needed to setup network with pfinet in HURD.
 So if you get 'No such file found' complaint from your shell when google says it should work, try looking in your /sbin, /usr/sbin directories, ones that are not in your PATH


The 45 questions you should ask in every job interview
by Staff WriterJobs website Glassdoor has published a list of questions you should ask as part of the job interview process.
According to the group, anything can happen before or during an interview, which is why it’s crucial to walk in feeling prepared.
However, it noted it is important not to ask questions already answered in the job description and to go beyond those general duties to understand everything the job entails.
Heather Huhman broke down the questions you should ask at each stage of your job interview.
Your role
1. Can you offer specific details about the position’s day-to-day responsibilities?
2. What would my first week at work look like?
3. How does this position contribute to the organisation’s success?
4. What do you hope I will accomplish in this position?
5. How does the company culture affect this role?
6. What job shadowing opportunities are available for an applicant before they accept an offer?
Getting to know the interviewer
7. What do you enjoy most about working here?
8. Why are you working in this industry?
9. Can you walk me through your typical work day?
10. What is your greatest accomplishment with the company?
11. What is your team’s greatest accomplishment?
12. What goals do you have for the company, yourself, and employees over the next five years?
13. What hobbies do you have outside of the office?
Management’s style
14. How do leaders encourage employees to ask questions?
15. How do leaders set employees up for success?
16. How does employee feedback get incorporated into day-to-day operations?
17. How does management deliver negative feedback to employees?
Company culture
18. What is your work culture like?
19. How would you describe the work environment here?
20. What benefits are focused on work-life balance?
21. What benefits and perks does the company offer?
22. What is the outline of your telecommuting policy?
23. How frequently do employees make themselves available outside of normal working hours?
Company reputation
24. What’s your mission statement?
25. How often is a new hire the result of a previous employee quitting?
26. Why do most employees leave the company?
27. How would employees describe the company and its leaders?
28. What are the company’s biggest problems? How are they overcoming them?
29. What do you want the company to be known for among employees — past, present, and future?
Performance measurements
30. How are employees recognised for their hard work?
31. How involved are employees in the structuring of their own goals and tasks?
32. What are your views on goals, timelines, and measuring success?
33. How often are employees expected to provide status updates on a project?
34. How often do you evaluate employee performance?
Future co-workers
35. Can you tell me about the team I’ll be working with?
36. How competitive are your employees?
37. How do you develop teamwork skills among employees?
Opportunities for growth
38. What type of mentor system do you have in place?
39. What type of educational/training opportunities does the company offer?
40. What advancement opportunities are available?
41. How do leaders promote employee growth and success?
42. What does it take to be a top performer at this company?
Moving forward
43. What’s the next step of this process, and when can I expect to hear from you?
44. Is there any other information I can provide you with?
45. Would you like to see more examples of my work?


{% extends "home/base.html" %} {% load static %} {% block addon_css %} {% endblock %}
{% block content %}GPCRmd is a project developed by the
GPCR drug discovery group, located at the
PRBB, Barcelona. The
group is focussed on the functionality of G
protein coupled receptors (GPCRs) in the context of CNS-related disorders taking into
account: receptor plasticity, activation mechanism, signaling bias, ligand binding,
the effect of the membrane and other interaction partners. The final goal is to
translate obtained molecular insights into the design of drug candidates with
improved therapeutic profiles. Jana Selent
is the group leader.
GPCRmd aims to promote data sharing and reproducibility. Therefore, GPCRmd stores information
about starting structure, parameters and simulation protocols. The data will be stored for at
least 8 years after data submission.
However, there are far more GPCRmd contributors forming the
community.