Review by Lars Lindahl<EMAIL_ADDRESS>"Gladiator" (2000) ***1/2 (out of four)
Directed by Ridley Scott Written by David H. Franzoni, John Logan, William Nicholson
Starring Russell Crowe, Joaquin Phoenix, Connie Nielsen, Derek Jacobi, Richard Harris, Oliver Reed, and Djimon Hounsou.
Imagine this. You're given a sword and a shield and very basic, minimal training.  You are thrown into an arena with thousands of spectators wanting to see you die.  You watch as the innocent friends you made in the last few days are murdered in cold blood.  Eventually know matter how strong or skilled you are, you're going to die. This is the life of a gladiator. You'll never have to be a gladiator and after seeing Ridley Scott's powerful Gladiator, you'll be thankful for that.
With his new film, Scott has returned cinema to the fascinating age of the ancient Roman Empire. And like those preceding it, Spartacus and Ben Hur, Gladiator has nearly everything going for it - a strong lead actor, a wonderful supporting cast, eye-catching special effects, and a great script. Since the two aforementioned films came out before the prime target viewers of Gladiator (teenagers to thirty-year-old males) were around, a whole new genre may just be reborn and revisited.
>From a weak beginning, the film starts off extremely gloomy and inauspicious. Rome's best general Maximus (Russell Crowe), who has helped the Empire conquer nearly everywhere they have attempted, is currently (in the year 180 A.D. that is) waging a war against Germania. Scott shoots the gory battle in an awkward style, similar to that of Saving Private Ryan but much less effective. It's blurry, in slow motion, and the sound is muted. As soon as this artistic method began, it was hard to tell what was what and who was who. It's a good thing Scott stops this after the first twenty minutes or else Gladiator would have been torture to watch. Instead, the general swears he will get out after this battle.  But, unexpectedly, he gets anything but that. The dying emperor of Rome, Marcus Aurelius (Richard Harris), decides to have Maximus appointed new emperor of Rome once he dies. He asks Maximus to restore the Republic by giving more power to the senators. All of this does not go well for Aurelius' son, Commodus (Joaquin Phoenix) who was expecting his father to name him the new emperor.  But Maximus is able to escape his own death and vows to kill Commodus and fulfill Marcus Aurelius' wishes. Now a slave, the only way he can win his own freedom and complete his goal is to become a winning gladiator, who eventually are released for their success.
A story of betrayal and promises, Gladiator is more than just a mindless action flick. You actually care about the characters, sometimes even the evil villain Commodus, who is just a young man as determined to make Rome one way as Maximus is determined to make it the other way. Phoenix plays his character brilliantly. Think of Commodus as the Percy Wetmore (of pant-wetter The Green Mile) of the Roman Empire - a whiny, sleazy, "respect-me-because-my-father-was-a-good-man" brat who hates when he's not the center of attention. Every scene we see Commodus, he's either crying or he looks like he has just been crying. Phoenix has definitely matured as an actor since To Die For, and Gladiator shows he's more than just River's little brother. Crowe is also excellent as the film's grisly-faced hero. Maximus is one of the few characters in recent cinema who actually has emotions.  The rest of the cast, including Richard Harris, Djimon Hounsou, Walter Hill, Derek Jacobi, and Connie Nielsen are also first rate.
Ridley Scott, using outstanding special effects, has brilliantly recreated the Roman Coliseum, the loudness of the Roman Mob, and the city of Rome in general. The visuals are breathtaking and voluminous, like a Cleopatra of the year 2000. The costuming is also wonderful from the detailed shields and armor to the exquisite dress of the upper-class politicians.
Gladiator is another movie you have to see on the big screen to get the most out of the experience. Along with U-571, action fans should have plenty to see in theaters this week and should expect much more excitement to come this summer of 2000.
Grade: ***1/2 (out of four)
Lars Attacks! A teenager attacks past and present cinema http://www.angelfire.com/ny3/larsattacks
<EMAIL_ADDRESS>(c) 2000 Lars Lindahl
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The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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A local’s guide to what to eat and do in New York City
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A local’s guide to what to eat and do in Rome


One True Thing (1998)
A Film Review by Mark O'Hara
There is enough dysfunction among the Gulden family members to fill the plotlines of two or three television dramas for an entire season. What makes the film refreshing and watchable is that the director does not over-reach in portraying emotional moments. Never does the film fall into unforgivable sentimentality; never does it sketch a character in purely black or white.
Director Carl Franklin's toughest task must have been getting right the terrible and delicate shadowing in the backgrounds of the characters' lives. The Gulden family has so much going for it - a Victorian mansion an hour or so outside of New York City, a house made perfect and picturesque by Kate (Meryl Streep). There is Kate's husband George (William Hurt), owner of a National Book Award, respected essayist and chair of the English Department at Langhorne College, no Harvard but a respectable small pond. The Guldens' two children are Brian (Tom Everett Scott), a college student, and Ellen (Renee Zellweger), a Harvard grad and rising writer at a New York magazine. When Ellen's cancer intrudes suddenly on their lives, and George asks Ellen to resign her responsibilities in the City and care for her mother, the story unfolds and the emotions unload.
It's a safe guess that Meryl Streep did not require much coaching. She is brilliant, her angular features shining in her Dorothy costume (she even clicks her ruby-slippered heels!) that she sports for her husband's birthday party. So much of Streep's acting is subtle, telegraphing her character's thoughts and making so many words unnecessary. Streep should be a shoo-in for another Oscar nomination. Although Ellen seems very put off by her mother's domestic prowess, she is forced by necessity to assume her mother's household duties. This mother-daughter relationship is the key one in the story. Two of the film's most wrenching scenes feature these women: one at a town gathering - perfectly accented by a lingering camera shot; the other in Kate's bedroom, a cathartic scene that is at once a confession and an absolution. Here Carl Franklin demonstrates his timing, intuition and experience.
In the novel on which the film is based, Anna Quindlen crafts Ellen as a remote intellectual, looking down her nose at her housebroken mother, while looking up at her writer-god father. Zellweger fills in this role well. She is wonderful in scenes involving a disastrous meal; notwithstanding, Ellen is inducted into her mother's women's group, the "Minnies." Ellen's reluctance slowly gives way not only to an acceptance of the hard housework, but to an appreciation of Kate's diligence in keeping the Gulden family running so smoothly. For much of the film Zellweger, stone-faced, watches her parents' lives altered for good. When it counts, though, she delivers "the right thing to do."
The screenplay, by Karen Croner, preserves much of Quindlen's clever dialogue. It also adds new pieces that portray the characters in bleak lighting. For instance, Professor George Gulden comes off as pompous, a phony who relies on a couple of quotes, one stolen, to impress his listeners. Also added are memory strobes in which Ellen remembers her younger father, full-bearded, buying her ice cream and carrying her atop his shoulders. It's not difficult to admire a film that takes even minor risks, like these flashbacks. William Hurt's George is just as complex as Ellen. His actions are often detestable, unthinkable for a man whose wife is terminally ill. But we also see qualities that go a long way toward redeeming him, and in the end we witness George and Ellen sharing a remarkable epiphany.
Symbolism in the picture is noticeable but not heavy-handed. We follow the seasons from fall through a dreary winter. In an uncharacteristic, medication-induced rage, Kate shatters plates whose pieces Ellen later uses in a mosaic project started by her mother. Finally, mother and daughter switch roles. Together with other moving scenes, the product is a fine adaptation of Quindlen's compassionate work.
If not for the uttering of a forbidden word three times, this R-rated film may have been a more accessible PG. (Even if the word were included one time, wouldn't there be a PG-13 rating?) There is no nudity, only brief references to sex, certainly no violence. Many children will miss a well-drawn drama about a family, because someone decided not to sacrifice verbal realism. Oh, well.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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The formatting of the review is likely to differ from the original due
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— Corey Butler (@goldglovecb)
— Async/Await; Ted Patrick (@__ted__)
— Jud White (@judwhite)
| 70 | 62 | 18 | 12 |
| 70 71 |
62 64 |
18* | 12 |
Released Dec 4
Released Dec 11/Jan 9
| -- | -- | -- | -- |
| -- | -- | -- |
Released Oct 2
GOOS=js GOARCH=wasm go build -o main.wasm
/
#


Mixed race mum asked if child with red hair and fair skin 'was swapped at birth'
Ella Gayle and Christian Henman, from Nottingham, have been asked if their child was swapped at birth because of his fair skin and red hair
by Matthew Dresch, Niamh Shackleton, https://www.mirror.co.uk/authors/matthew-dresch/A mixed raced mum has been asked if her child was 'swapped at birth' because of his red hair and fair skin.
Ella Gayle, 23, who has jet black hair, was shocked when Luca, now seven months old, was born with red locks.
Luca's dad, Christian Henman, 29, is white but also has dark hair - leaving the pair to question where the baby, who has blue eyes, got his look from.
Ella, a financial difficulty adviser from Nottingham, said: "You can see Luca's hair from a mile off when we're out and about and people often stare because the two of us look so different.
"Luca's dad has blue eyes like him, but other than that, there's not a huge amount of physical similarity between Luca and us.
"People have jokingly asked if Luca was swapped at hospital and we were given the wrong baby but I had a home birth so that isn't actually possible."
Following Luca being born, Ella, who has Jamaican, Italian and Irish heritage, has done more research and discovered that both she and Christian must carry the red hair gene.
Ella added: "I have two cousins with red hair, but that's the only immediate family both Christian and I have with red hair - other than that, there's no one.
"People are forever coming up to us when we're out to comment on Luca's amazing hair; it's mainly abroad when I get funny looks from people about the obvious difference in looks between us.
"I don't mind people staring to be honest, I love to show Luca off.
"Since my post on Facebook about him, he's actually been offered a modelling contract which is super exciting."
It comes after a mixed-race couple said they were forced to leave Ireland after receiving abuse online and even death threats against their toddler son following their appearance in a Lidl advert.
Fiona Ryan, 33, and her fiance Jonathan Mathis, 32, have been targeted by abuse since they appeared in an ad campaign for the supermarket chain along with their 22-month-old boy.
The family's inclusion in the ads, which began appearing on billboards and TV in Ireland in early September, saw the couple targeted in an online campaign to boycott Lidl.
Ms Ryan told RTE's Late Late Show on Friday night the family had decided to move to England after receiving abusive and racist comments online - including a death threat directed at their toddler, the Irish Times reports.
She said online abusers were writing vitriol about them on Facebook and Twitter and trying to contact their accounts.


writeDjangoObject(self,
obj,
*args,
**kwargs)
| source code
|
The Django ORM creates new instances of objects for each db request.
This is a problem for PyAMF as it uses the id(obj) of the object to do
reference checking.
We could just ignore the problem, but the objects are conceptually the
same so the effort should be made to attempt to resolve references for a
given object graph.
We create a new map on the encoder context object which contains a
dict of object.__class__: {key1: object1, key2: object2, .., keyn:
objectn} . We use the primary key to do the reference checking.
|


This button has id = design1
This button has id = design2
This button has id = design3
This button has id = design4 to design4.4
This button has id = design5 to design5.4
This button has id = design6
This button has id = design7
These button has id = design8


Chad Fanguy's Digital Drawings
iPad Drawings
2023
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2021
2020
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HTML Game Sprites


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In order to use CORINS, the output files of the RING software in .txt format are necessary in order
to compare confimer residues. To do this follow the following steps:
- Access the RING through the link.
- Enter the desired PDB ID code and click Submit.
- Click Network (TXT) to download the files.
- Repeat the process until you get all the RINs that you want to compare by putting the files in
the same folder.
- In Corins, drag the compressed files in the Drag and drop field or click load to select the
files.
- After upload confirmation, click "Click here to start!" to process and view the result.


I am a keen mathematician and computer scientist, currently a research assistant in Trinity College Institute of Neuroscience and a PhD candidate.
I am working with the neuroscience department, bringing my maths and computing skills to the team. This involves myriad responsibilities, including developing data analysis tools, creating a python application with a GUI for the analysis, and programming microcontrollers for experiments.
I have also developed an experiment in Unreal Engine 4 for the Science Gallery Dublin to investigate the relationship between humans and digital humans in a virtual reality setting. In addition, I have presented a paper on deep learning at the GRAPP 2019 conference, and I chaired a session on rendering at the conference.
During my mathematics degree, I corrected assignments in a Fields, Rings, and Modules course and a Linear Algebra course. I also demonstrated for Real Time Animation after my master’s degree. The experience has helped me to develop confidence in my work and improved my ability to explain topics in a clear and concise manner.
Summer internship at the DataLab in Dublin. I was handling large volumes of company data, and learnt multiple techniques for data loading, cleaning, and analysis. My duties included performing extract, transform, and load operations on data, creating visualisations with Python, and documenting Datalab processes.
Improved my communication skills by interacting with management and customers during this summer position.
Obtained 600 points with A1's in Maths, Applied Maths, Physics, and Technology, an A2 in History, and a B1 in English.
I enjoy playing video games, doing development in my free time, and running dungeons and dragons games. I am also trying to get back into a regular schedule at the gym.


CQ3AttributeSet_GetSurfaceShader |
inline CQ3ObjectRef CQ3AttributeSet_GetSurfaceShader ( TQ3AttributeSet inSet );
Get the surface shader from an attribute set.
- inSet
- An attribute set.
CQ3Box_GetFaceAttributeSet |
inline CQ3ObjectRef CQ3Box_GetFaceAttributeSet ( TQ3GeometryObject box, TQ3Uns32 faceIndex );
Gets the attribute set associated with a certain face of a box object.
- box
- A reference to a box geometry object.
- faceIndex
- The index of the face of the box, between 0 and 5 (inclusive).
CQ3Cone_GetBottomAttributeSet |
inline CQ3ObjectRef CQ3Cone_GetBottomAttributeSet ( TQ3GeometryObject cone );
Get the attribute set for the bottom cap of a cone object.
- cone
- The cone object.
CQ3Cone_GetFaceAttributeSet |
inline CQ3ObjectRef CQ3Cone_GetFaceAttributeSet ( TQ3GeometryObject cone );
Get the attribute set for the face (as opposed to the bottom
cap) of a cone.
- cone
- The cone object.
CQ3Cone_GetInteriorAttributeSet |
inline CQ3ObjectRef CQ3Cone_GetInteriorAttributeSet ( TQ3GeometryObject cone );
Get the attribute set for the interior of a cone object.
- cone
- A cone object.
CQ3Cylinder_GetBottomAttributeSet |
inline CQ3ObjectRef CQ3Cylinder_GetBottomAttributeSet ( TQ3GeometryObject cylinder );
Get the attribute set for the bottom cap of a cylinder object.
- cylinder
- A cylinder object.
CQ3Cylinder_GetFaceAttributeSet |
inline CQ3ObjectRef CQ3Cylinder_GetFaceAttributeSet ( TQ3GeometryObject cylinder );
Get the attribute set for the face of a cylinder object (i.e., neither end)
- cylinder
- A cylinder object.
CQ3Cylinder_GetInteriorAttributeSet |
inline CQ3ObjectRef CQ3Cylinder_GetInteriorAttributeSet ( TQ3GeometryObject cylinder );
Get the attribute set for the interior of a cylinder object.
- cylinder
- A cylinder object.
CQ3Cylinder_GetTopAttributeSet |
inline CQ3ObjectRef CQ3Cylinder_GetTopAttributeSet ( TQ3GeometryObject cylinder );
Get the attribute set for the top cap of a cylinder object.
- cylinder
- A cylinder object.
CQ3File_GetStorage |
inline CQ3ObjectRef CQ3File_GetStorage ( TQ3FileObject theFile );
Get the storage object for a file.
- theFile
- The file to query.
CQ3GeneralPolygon_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3GeneralPolygon_GetVertexAttributeSet ( TQ3GeometryObject generalPolygon, TQ3Uns32 contourIndex, TQ3Uns32 pointIndex );
Get the attribute set of a vertex of a general polygon.
- generalPolygon
- A general polygon object.
- contourIndex
- A 0-based index into the array of contours.
- pointIndex
- A 0-based index into the array of vertices of a contour.
CQ3Geometry_GetAttributeSet |
inline CQ3ObjectRef CQ3Geometry_GetAttributeSet ( TQ3GeometryObject geometry );
Returns the attribute set associated with a geometric object.
- geometry
- A reference to a geometry object.
CQ3Group_GetPositionObject |
inline CQ3ObjectRef CQ3Group_GetPositionObject ( TQ3GroupObject group, TQ3GroupPosition position );
Get the object located at a certain position in a group.
This function obtains a reference to the group member at a
specified position.
Returns nullptr if there is no object at the given position.
- group
- Group to inspect.
- position
- Position of desired object.
CQ3HighlightStyle_Get |
inline CQ3ObjectRef CQ3HighlightStyle_Get ( TQ3StyleObject highlight );
Get the data from a highlight style.
- highlight
- The style to query.
CQ3Line_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3Line_GetVertexAttributeSet ( TQ3GeometryObject line, TQ3Uns32 index );
Get the attribute set of one of the ends of a line object.
- line
- A line object.
- index
- An index, 0 or 1, specifying an end of the line.
CQ3Mesh_GetCornerAttributeSet |
inline CQ3ObjectRef CQ3Mesh_GetCornerAttributeSet ( TQ3GeometryObject mesh, TQ3MeshVertex vertex, TQ3MeshFace face );
Get the attribute set of a mesh corner.
- mesh
- The mesh to query.
- vertex
- The vertex to query.
- face
- The face to query.
CQ3Mesh_GetEdgeAttributeSet |
inline CQ3ObjectRef CQ3Mesh_GetEdgeAttributeSet ( TQ3GeometryObject mesh, TQ3MeshEdge edge );
Get the attribute set of a mesh edge.
- mesh
- The mesh to query.
- edge
- The face to query.
CQ3Mesh_GetFaceAttributeSet |
inline CQ3ObjectRef CQ3Mesh_GetFaceAttributeSet ( TQ3GeometryObject mesh, TQ3MeshFace face );
Get the attribute set of a mesh face.
- mesh
- The mesh to query.
- face
- The face to query.
CQ3Mesh_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3Mesh_GetVertexAttributeSet ( TQ3GeometryObject mesh, TQ3MeshVertex vertex );
Get the attribute set of a mesh vertex.
- mesh
- The mesh to query.
- vertex
- The vertex to query.
CQ3Object_GetSet |
inline CQ3ObjectRef CQ3Object_GetSet ( TQ3Object inObject );
Get the element set of an object. This is not the same as the set
returned by Q3Shape_GetSet
.
This function is primarily for the use of file format plug-ins.
Most applications will not need it.
- inObject
- The object.
CQ3PolyLine_GetSegmentAttributeSet |
inline CQ3ObjectRef CQ3PolyLine_GetSegmentAttributeSet ( TQ3GeometryObject polyLine, TQ3Uns32 index );
Get the attribute set of a polyline segment.
- polyLine
- The polyline to query.
- index
- The index of the segment to query.
CQ3PolyLine_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3PolyLine_GetVertexAttributeSet ( TQ3GeometryObject polyLine, TQ3Uns32 index );
Get the attribute set of a polyline vertex.
- polyLine
- The polyline to query.
- index
- The index of the vertex to query.
CQ3Polygon_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3Polygon_GetVertexAttributeSet ( TQ3GeometryObject polygon, TQ3Uns32 index );
Get the attribute set of a vertex in a polygon object.
- polygon
- A polygon object.
- index
- A 0-based index into the array of vertices of the polygon.
CQ3Polyhedron_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3Polyhedron_GetVertexAttributeSet ( TQ3GeometryObject polyhedron, TQ3Uns32 index );
Get the position of a polyhedron vertex.
- polyhedron
- The polyhedron to query.
- index
- The index of the vertex to query.
CQ3Shape_GetSet |
inline CQ3ObjectRef CQ3Shape_GetSet ( TQ3ShapeObject inObject );
Get the set element currently associated with a shape.
The function call Q3Shape_GetSet( o, &s )
is equivalent to
Q3Shape_GetElement( o, kQ3ElementTypeSet, &s )
.
Note that this is not the same as the attribute set of a geometry object,
nor is in the internal set which holds elements on an object. That is,
after adding elements or attributes to an object, this function may still
return the nullptr set.
- inObject
- The object to query.
CQ3TextureShader_GetTexture |
inline CQ3ObjectRef CQ3TextureShader_GetTexture ( TQ3ShaderObject shader );
Get the texture from a texture shader.
- shader
- The shader to query.
CQ3Triangle_GetVertexAttributeSet |
inline CQ3ObjectRef CQ3Triangle_GetVertexAttributeSet ( TQ3GeometryObject triangle, TQ3Uns32 index );
Get the attribute set of a triangle vertex.
- triangle
- The triangle to query.
- index
- The index of the vertex to query.
CQ3ViewHints_GetAttributeSet |
inline CQ3ObjectRef CQ3ViewHints_GetAttributeSet ( TQ3ViewHintsObject viewHints );
Get the attribute set from a view hints object.
- viewHints
- The view hints to query.
CQ3ViewHints_GetCamera |
inline CQ3ObjectRef CQ3ViewHints_GetCamera ( TQ3ViewHintsObject viewHints );
Get the camera from a view hints object.
- viewHints
- The view hints to query.
CQ3ViewHints_GetLightGroup |
inline CQ3ObjectRef CQ3ViewHints_GetLightGroup ( TQ3ViewHintsObject viewHints );
Get the light group from a view hints object.
- viewHints
- The view hints to query.
CQ3ViewHints_GetRenderer |
inline CQ3ObjectRef CQ3ViewHints_GetRenderer ( TQ3ViewHintsObject viewHints );
Get the renderer from a view hints object.
- viewHints
- The view hints to query.
CQ3View_GetAttributeSetState |
inline CQ3ObjectRef CQ3View_GetAttributeSetState ( TQ3ViewObject view );
Get the current attribute state set from a view.
- view
- The view to query.
CQ3View_GetCamera |
inline CQ3ObjectRef CQ3View_GetCamera ( TQ3ViewObject view );
Get the camera from a view.
- view
- The view to query.
CQ3View_GetDefaultAttributeSet |
inline CQ3ObjectRef CQ3View_GetDefaultAttributeSet ( TQ3ViewObject view );
Get the default attribute set from a view.
- view
- The view to query.
CQ3View_GetDrawContext |
inline CQ3ObjectRef CQ3View_GetDrawContext ( TQ3ViewObject view );
Get the draw context from a view.
- view
- The view to query.
CQ3View_GetHighlightStyleState |
inline CQ3ObjectRef CQ3View_GetHighlightStyleState ( TQ3ViewObject view );
Get the current highlight style state from a view. Must be called from a
submitting loop.
- view
- The view to query.
CQ3View_GetLightGroup |
inline CQ3ObjectRef CQ3View_GetLightGroup ( TQ3ViewObject view );
Get the light group from a view.
- view
- The view to query.
CQ3View_GetRenderer |
inline CQ3ObjectRef CQ3View_GetRenderer ( TQ3ViewObject view );
Get the renderer from a view.
- view
- The view to query.
© 1999-2023 Quesa Developers (Last Updated 1/27/2023)


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[gecode-users] access to Space during branching?
Luis Quesada
luque at info.ucl.ac.be
Mon Jun 5 12:00:34 CEST 2006
Christian Schulte wrote:
>Yes, you got it right. It has been really a mistake to not pass a space
>argument to branch: everything is constructed in such a way that one never
>has to store a space anywhere: no Gecode data structure stores a space, all
>is passed as arguments.
>
>
>
Thanks for your confirmation.
In fact, this made me remember another question: suppose that in my
program all the propagators are using the same views of the variables
(i.e., there is only one view per variable) and theses views are updated
in the constructor for cloning of the space. Is it correct to say that
there is no need of updating these views in the constructor for cloning
of the propagators (since these views are already updated in the
constructor for cloning of the space)?
Luis
More information about the gecode-users
mailing list


{% extends 'mobile/base.html' %} {% set title = _('Help us write help articles') %} {% set headline = title %} {% set styles = ('mobile-landings-get-involved',) %} {% set canonical_url = canonicalize(viewname='landings.get_involved_kb') %} {% block content %}
{% trans %} If you like writing and teaching then the Knowledge Base is the place for you. We need contributors that can write, edit or proof read articles in English. Thousands of people are accessing our Knowledge Base every week. Imagine how many will be helped by you! {% endtrans %}
{{ _('1 article can be viewed by 400 million users and translated into 70+ languages') }}


Sir Mo Farah performs retirement U-turn ahead of 2020 Tokyo Olympics
Sir Mo Farah initially had his heart set on winning marathon gold in Asia ext year
by Alex Spink, https://www.facebook.com/alexspinkmirror/Sir Mo Farah has reversed his decision to retire from the track and will defend his 10,000 metres title at next summer’s Tokyo Olympics.
Britain’s most successful ever athlete had set his heart on winning marathon gold in Japan, having spent the past two years competing on the roads.
But he could only finish eighth in Chicago last month - and then watched world record holder Eliud Kipchoge become the first man in history to clock a sub-two hour marathon in Vienna.
That would appear to have convinced Farah that by far his best chance of adding an 11th global title lies back on the track where the 10,000m, in particular, has not moved on since he left it.
Farah announced: ”Next year, I'm going to be back on the track and I'm going to give it a go in the 10,000m.
"Hopefully I haven't lost my speed but I will train hard for it and see what I can do. I'm really excited.”
A source close to the Somali-born Londoner said he would focus on the 10,000m next year then “probably” return to marathon competition.
The 36-year-old has four Olympic gold medals to his name having completed the 5,000m and 10,000m double both in London and Rio.
"It's been really exciting competing in the marathon over the last couple of years,” he said.
"To win the Chicago Marathon was nice and to finish third in the London Marathon was OK, and it's been a great learning curve for me.”


This page demonstrates the 2 different ways to register an observer on the data set. The first way involves creating an object that will receive notifications. Methods are added to this object for each notification it wishes to receive. The object is then added as an observer on the data set.
The second way involves defining a callback function and registering it as an observer on the data set. The difference with using a callback function is that it will get called for *every* notification the data set dispatches. The function must check the notification type passed into it to see if it is a notification it is interested in handling.
{firstname} {lastname}, {firstname} {lastname}
| ds_RowID | Last Name | First Name |
|---|---|---|
| {ds_RowID} | {lastname} | {firstname} |


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.cataloguefrontend.leakdetection.{LeakDetectionLeaksByRule, LeakDetectionLeakDetails} @( leaks : Seq[LeakDetectionLeaksByRule], countHeader: String )(implicit request: RequestHeader )
@views.leakdetection.LeakDetectionHighlighter(leak)


Lehigh University
CSB Capstone Program
August
- Meet with CSB Director of Capstone
Projects.
- Establish scope of project and
designated company participants.
- Begin developing project description.
September
- Verbal acceptance of CSB Lehigh
University Sponsor Agreement key
terms.
- Draft of project description.
Be sure you have approval from your
legal department.
- Meet with CSB
Director of Capstone Projects to
process paperwork.
October
- Identify project mentors and
sponsorship/legal issues.
- CSB Director of Capstone Projects can
meet with legal or executive
representatives.
November
- Sponsor Agreements and Project
Descriptions due.
- Save the date for the January Sponsor
Fair!
December
- Finalize Project Descriptions, identification of
project mentors, outstanding paperwork and
fees.


CordaSerializationTransformEnumDefault(new: String, old: String)
This annotation is used to mark an enumerated type as having had a new constant appended to it. For each additional constant added a new annotation should be appended to the class. If more than one is required the wrapper annotation CordaSerializationTransformEnumDefaults should be used to encapsulate them


--- layout: newsstory title: BOTTOM match: Yeltz 0 Stafford 1 ---
OK, it's not quite technically true - we're only in 21st place with a bottom of the table clash against Margate coming up on Saturday.
We have got a whole bunch of new players, so we know it's going to take a bit of time for them to gel together, but let's hope this is going to happen sooner rather than later. If this bad start continues, I'd hate to think what the crowds will drop to. :-(
You can read all about the disappointing defeat by Stafford in the match reports .


Salmon Cookies
Home
Sales
Shop
Add a New Store
Shop Location:
Minimum Customers per Hour:
Maximum Customers per Hour:
Cookies per Sale
Add a Store
Cookies Sold


{%- render '@icons', name="hp-book", class="mwa-icon" -%}
W3C
The World Wide Web Consortium (W3C) develops international standards for the Web: HTML, CSS, and many more.
{%- render '@icons', name="hp-tools", class="mwa-icon" -%}
WAI
The W3C Web Accessibility Initiative (WAI) develops standards and support materials to help you understand and implement accessibility.
{%- render '@icons', name="hp-computer", class="mwa-icon" -%}
You
You can use W3C WAI resources to make your websites, applications, and other digital creations more accessible and usable to everyone.


  That’ll help, promise.
😢
4/18/2019, 2:39:59 AM
Favs: 5
Retweets: 1
link


cairo
public struct cairo
Undocumented
-
Undocumented
Declaration
Swift
public typealias ContextProtocol = _cairo_ContextProtocol
-
Undocumented
Declaration
Swift
public typealias DeviceProtocol = _cairo_DeviceProtocol
-
Undocumented
Declaration
Swift
public typealias FontFaceProtocol = _cairo_FontFaceProtocol
-
Undocumented
Declaration
Swift
public typealias FontOptionsProtocol = _cairo_FontOptionsProtocol
-
Undocumented
Declaration
Swift
public typealias MatrixProtocol = _cairo_MatrixProtocol
-
Undocumented
Declaration
Swift
public typealias PathProtocol = _cairo_PathProtocol
-
Undocumented
Declaration
Swift
public typealias PatternProtocol = _cairo_PatternProtocol
-
Undocumented
Declaration
Swift
public typealias RectangleIntProtocol = _cairo_RectangleIntProtocol
-
Undocumented
Declaration
Swift
public typealias RectangleProtocol = _cairo_RectangleProtocol
-
Undocumented
Declaration
Swift
public typealias RegionProtocol = _cairo_RegionProtocol
-
Undocumented
Declaration
Swift
public typealias ScaledFontProtocol = _cairo_ScaledFontProtocol
-
Undocumented
Declaration
Swift
public typealias SurfaceProtocol = _cairo_SurfaceProtocol
-
Undocumented
Declaration
Swift
public typealias Context = _cairo_Context
-
Undocumented
Declaration
Swift
public typealias Device = _cairo_Device
-
Undocumented
Declaration
Swift
public typealias FontFace = _cairo_FontFace
-
Undocumented
Declaration
Swift
public typealias FontOptions = _cairo_FontOptions
-
Undocumented
Declaration
Swift
public typealias Matrix = _cairo_Matrix
-
Undocumented
Declaration
Swift
public typealias Path = _cairo_Path
-
Undocumented
Declaration
Swift
public typealias Pattern = _cairo_Pattern
-
Undocumented
Declaration
Swift
public typealias Rectangle = _cairo_Rectangle
-
Undocumented
Declaration
Swift
public typealias RectangleInt = _cairo_RectangleInt
-
Undocumented
Declaration
Swift
public typealias Region = _cairo_Region
-
Undocumented
Declaration
Swift
public typealias ScaledFont = _cairo_ScaledFont
-
Undocumented
Declaration
Swift
public typealias Surface = _cairo_Surface
-
Undocumented
Declaration
Swift
public typealias Status = cairo_status_t
-
Undocumented
Declaration
Swift
public typealias Content = cairo_content_t
-
Undocumented
Declaration
Swift
public typealias Operator = cairo_operator_t
-
Undocumented
Declaration
Swift
public typealias Antialias = cairo_antialias_t
-
Undocumented
Declaration
Swift
public typealias FillRule = cairo_fill_rule_t
-
Undocumented
Declaration
Swift
public typealias LineCap = cairo_line_cap_t
-
Undocumented
Declaration
Swift
public typealias LineJoin = cairo_line_join_t
-
Undocumented
Declaration
Swift
public typealias TextClusterFlags = cairo_text_cluster_flags_t
-
Undocumented
Declaration
Swift
public typealias FontSlant = cairo_font_slant_t
-
Undocumented
Declaration
Swift
public typealias FontWeight = cairo_font_weight_t
-
Undocumented
Declaration
Swift
public typealias SubpixelOrder = cairo_subpixel_order_t
-
Undocumented
Declaration
Swift
public typealias HintStyle = cairo_hint_style_t
-
Undocumented
Declaration
Swift
public typealias HintMetrics = cairo_hint_metrics_t
-
Undocumented
Declaration
Swift
public typealias FontType = cairo_font_type_t
-
Undocumented
Declaration
Swift
public typealias PathDataType = cairo_path_data_type_t
-
Undocumented
Declaration
Swift
public typealias DeviceType = cairo_device_type_t
-
Undocumented
Declaration
Swift
public typealias SurfaceType = cairo_surface_type_t
-
Undocumented
Declaration
Swift
public typealias Format = cairo_format_t
-
Undocumented
Declaration
Swift
public typealias PatternType = cairo_pattern_type_t
-
Undocumented
Declaration
Swift
public typealias Extend = cairo_extend_t
-
Undocumented
Declaration
Swift
public typealias Filter = cairo_filter_t
-
Undocumented
Declaration
Swift
public typealias RegionOverlap = cairo_region_overlap_t


{% for eachcity in city %}
CONGRATS mr/Ms {{ eachcity.name }} from {{ eachcity.cityOrOrigin }}, you're now a resident of our city.
{% endfor %}
Back
to the main page


User guide
In construction, come back soon.
Note to editors:
Note to editors:
Explain how to run the tool and interpret the results, similar to https://www.crisprbehive.design/guide, or https://crispresso.pinellolab.partners.org/help
In construction, come back soon.
Note to editors:
Note to editors:
Explain how to run the tool and interpret the results, similar to https://www.crisprbehive.design/guide, or https://crispresso.pinellolab.partners.org/help


In this demo you will see how styles are hidden inside of Shadow DOM and do not cross the barrier between the page and the web component. The first H3 below is styled in this page, while the Polymer element has a different design.
This H3 element is styled in the page and is blue.


--- layout: blank title: "Oops! You seem to be offline" description: "Offline content for cathydutton.co.uk" --- oops You seem to be offline Your device is currently offline, whilst you wait for a connection check the links below to my offline content: Go to the home page View my work history Or, read a selection from my blog: CSS myths 10 reasons to start using PostCSS today Surviving CSS Or, view some of my work: Buy a rod fishing licence Tropic skincare My protein
Your device is currently offline, whilst you wait for a connection check the links below to my offline content:
Or, read a selection from my blog:
Or, view some of my work:


Changelog
Changes can be found in
Github Changelog
.
Usage Hints
To copy the secret to clipboard, hold shift key while clicking on the secret.
Settings
Mark fields blue when recognized as user and password input
Login after filling in credentials
Default folder for new credentials
Reset all settings to defaults


Marisha
Marisha is an apprentice level Wizard. She draws most of her power from her cat familiar, but strives to use this energy only for squashing code bugs and crushing algorithm problems. When not fighting against programming enemies, you can find Marisha outdoors, painting, or playing with her familiar.
Renee
Renee is a software engineer apprentice just trying to get everything she can from life. All she really wants to do is hang out with her tiny monster dog and binge watch tv shows while coding.
Chris
Chris is the hero that we do not deserve, but also the one that we do not really need… His prowess at crushing
words is outstripped only by his uncanny ability to know just what to say in any conversation only a mere ten
minutes after they have happened. He is also fond of…
justice.
Sapana
Sapana just wants to fly to the land of coding, play inside the loop, swing by the function, and spend some times with new angles inside objects. Then she wants to come back to her real world and spend more time with her little angel SERENA!!! She loves nature......


Get in Touch
You can contact us any way that is convenient for you. We are available 24/7 via fax or email. You can also use a quick contact form below or visit our office personally. We would be happy to answer your questions.
Phones
1-800-1234-567,
1-800-9876-543
<EMAIL_ADDRESS>Address
3021 Fulton Street, San Diego, CA 11794-8010 USA
Opening Hours
Mon–Fri 8:00am–6:00pm
Sat 10:00am–4:00pm
Sun Closed


Hot links are an easy way to reference messages, files, web addresses or ftp addresses in messages.
You can include your own links in messages you write. Either type the link manually or select the Copy Link command on the Edit menu - this will copy the details of the current message to the clipboard in link format, you can then use the Paste command on the Edit menu to paste the reference into your message.
The different types of link recognised by Ameol are:
cix:forum-name/topic-name:message-number
This is a reference to a message on CIX Forums. Click on the link to go to that message. To go back to the message you were reading press backspace. To open a new message window on this linked message, hold down the Control key before clicking on the link.
You can also miss out parts of the link and Ameol will try to work out what you mean. For example, cix:201 is a link to message 201 in the current topic.
cix:/files:201 is a link to message 201 in the files topic of the current forum. cix:forumname is a link to the forum called "forumname" (if you are not a member of "forumname" Ameol will ask if you wish to join). And cix:forumname/topicname is a link to the "topicname" topic in the forum "forumname".
cixfile:forum-name/topic-name:filename
This is a reference to a file on CIX Forums. Click on the link to download the file. If you are not a member of the forum described in the link Ameol will ask if you wish to grab the file without staying joined to the topic that contains the file. You can also shorten the link in the same way as you can with a cix: link, e.g. cixfile:myfile.zip is a link to myfile.zip in the current topic.
http://www.website.somewhere
This is a reference to a a web site. Click on it in a message and your web browser will be opened and will go to that site. For this to work you need to have an Internet account and have set the path to your www browser on the Browser tab.
ftp://ftp.ftpsite.somewhere
This is a link to an ftp site. It works in the same way as the http: link described above and also requires you to have an Internet account and have configured your browser.
news:newsgroup
This is a link to newsgroup using the readers default usenet server. If you want to specify a news server as weel you can use the news:// format shown below.
There are two other kinds of link which are used on some web pages and can be handled by Ameol:
news://news-server-name/news-group
This is a reference to a news group but using a particular news server. If you click on this type of link on a web page Ameol will open (if it is not started already) and go to the news group. If you are not subscribed to that news group it will ask if you wish to subscribe. If you do Ameol will subscribe to the group using the news server mentioned in the link. You can also specify a message number, e.g. news://news-server-name/news-group:12345.
mailto:someone@somewhere
This is a reference to an email address. Clicking on this type of link will open Ameol and create a new mail message with the address after the colon in the To: field.
file://file-path-and-name
This is a reference to a file.


I’m a 35-year-old software engineer from The Netherlands. My interests lie with (web)development, databases, design patterns, social media, communities, APIs and open data.
More about me, including links to other online services, can be found at gerben.dev


|
|
|
E=±mc²=Thé Ðëòxÿríßøñµçlëìç HÿÞêrdïmèñsîøñ
|
|
intro -
mainpage |
Administrative
site updates and bibliography
graphics and audio credits.
traffic and demographic stats
reciprocalinks and linkgraphics
PGP public key
|
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Navigation Tools
O R A C L E - ORBIT
yippie!
frames -or- noframes
Higher-Bandwidth Overframe |
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Widgetry *
Background Color Fader *
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I D E A S
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the Gaian Mind - the Gaian Mind,
Photosynthetic Sloths of Amazonia,
Great Mother of the Gods,
Forests as Sanctuaries,
Instructions for the Kali Yuga,
Kids Lib Now!.
Hyperspace - Physics, Celtics, Vedics, Tantrics, Psychics, Chemical Experiences of a Hyperspatial Nature, Incunabula, IRC.
Omega -
Akashic Record Player, World Scientists Warning to Humanity, Yoga for Yahoos, earthmanifestation, Critical Mass of Enlightenment.
Music of the Sun - The Sun.
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EIGHTFOLD MODEL OF HUMAN CONSCIOUSNESS |
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FAQs, South American Ayahuasca Practice, Further American Traditions, Shamanism Links.
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The Partnership for Drug Freedom in America
Drug War Truce, What No One Wants To Know About Marijuana, The Painted Bird,
Plan-Plant-Planet, What's the point of being drug-free?, Audio.
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Essays.
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The Gracie and Zarkov Experience - ..technical notes from the underground..
Further Reading.
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DNA ALERT! - WARNINGS
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Deoxyribonucleic Intelligence Agency is in-formation.
Radio - WBAI Powertool v1.0, radioFreeRadioDNA
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The Revolution®
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These are the necessary steps:
Intert Key
Turn key
clockwise
Push accelerator
Do
not
push the brake at the same time as the accelerator.
屠龙宝刀点击就绿
屠龙宝刀点击就绿


One of the world's foremost providers of Business Intelligence consulting, technology and outsourcing services.
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Ten years ago, Tableau started as a tiny Seattle start-up in our CEO's bedroom. It's sometimes hard to believe that we're now a global, public company with 13,500 customer accounts from around the world.- Doreen Jarman, Tableau PR Manager
Greg, this is great, let’s continue to build a good reputation for Cognos and the DWH team across the company, we’ll all benefit a lot from that.- Giancarlo Scupino, Allianz Global Assistance COO


Alexis Anderson:
Alexis was one of our awesome web react 1 developers! She has
amazingly helped put this sweet website together
and make it what it is!
Jeff Breig:
Jeff was another one of our web react 1 developers. This man helped bring out the
juicy flavors of our site and make it as delicious as it could be!
John Ruble:
John was one of the 2 Web UI developers.
He helped put together the look of the page and justified
the style and appearance of a few pages.
Jordan Devaney:
Jordan was another of the 2 Web UI developers.
He jacked up our giant project by creating a few
pages and styling them with just the right style
and appearance.
Katrina Roaix:
Katrina was the killer back end developer for our project! Without her crazy mad skills all the backend stuff would be kapoot right
about now!
Larynab:
Larynab is our fearless leader. Without her large amount of knowledge and lovable patience, we might not have survived the struggle and hardships!
Miley Wright:
Miley was our masterful web react 2 developer.
Her might with coding helped max out the potential of our project!


The
com.jme3.app.state
package provides {@link com.jme3.app.state.AppState app states}, an abstract way of handling application logic.


How to Configure DNS over HTTPS on PiHole
25/07/2022
Description
<IP_ADDRESS> is a privacy respecting DNS provided by Cloudflare. It is a DNS server that is used to resolve domain
names to IP addresses. However, by default, pihole does not use DNS over HTTPS to resolve DNS names. This can
result in a loss of privacy as anyone who can conduct a MITM aattack can see the DNS requests made by the user.
Set up DNS Over HTTPS Proxy on PiHole
Copy the ARM binary URL location https://developers.cloudflare.com/cloudflare-one/connections/connect-apps/install-and-setup/installation/
And run the following commands on your PiHole to configure DNS over HTTPS:
$ cd /tmp
$ wget [ARM Binary URL Location]
$ sudo mv cloudflared /usr/local/bin
$ sudo chmod +x /usr/local/bin/cloudflared
$ sudo useradd -s /usr/sbin/nologin -r -M cloudflared
$ sudo chown cloudflared:cloudflared /usr/local/bin/cloudflared
Copy the following config text into a file called / located under /etc/default/cloudflared
CLOUDFLARED_OPTS=--port 5053 --upstream https://<IP_ADDRESS>/dns-query --upstream https://<IP_ADDRESS>/dns-query
Copy the following config text into a file called / located under
/lib/systemd/system/cloudflared.service
[Unit]
Description=cloudflared DNS over HTTPS proxy
After=syslog.target network-online.target
[Service]
Type=simple
User=cloudflared
EnvironmentFile=/etc/default/cloudflared
ExecStart=/usr/local/bin/cloudflared proxy-dns $CLOUDFLARED_OPTS
Restart=on-failure
RestartSec=10
KillMode=process
[Install]
WantedBy=multi-user.target
Run from Terminal
$ sudo systemctl daemon-reload
$ sudo systemctl enable cloudflared
$ sudo systemctl start cloudflared
To verify the proxy is working
$ sudo systemctl status cloudflared
Configure PiHole to use DNS over HTTPS Proxy
- Navigate to https://pi.hole/admin in your web browser
- Go to Settings -> DNS
- Untick all current checkboxes in the top DNS section
- Tick custom IPV4 DNS
- Add
<IP_ADDRESS>#5053
as the customer IPV4 DNS server
- Click "Save" down the bottom and restart PiHole
Share via:


RiskTracker
Political Unit
Country
Province
Regency
Query
Supplies
Physical assets
All Queries
Hotels
Offices
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Not Essential
Time
Current
Jan 2018
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Time graphs
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Address and Items Summary


|
Slow Transients Pipeline Prototype
Component of the Science Data Processor being developed in the context of the Square Kilometre Array international project, which provides fast snapshot imaging, object detection and cataloguing for the identification of astrophysical image-plane transients.
|
The MatStp matrix class. More...
#include <matstp.h>
Public Member Functions | |
| MatStp ()=default | |
| MatStp default constructor. More... | |
| MatStp (arma::uword n_rows, arma::uword n_cols) | |
| MatStp constructor that receives matrix dimensions. More... | |
| MatStp (MatStp &&other) | |
| MatStp move constructor. More... | |
| MatStp< T > & | operator= (MatStp &&other) |
| MatStp move assignment operator. More... | |
| MatStp< T > & | operator+= (MatStp &other) |
| MatStp sum assignment operator. More... | |
| void | reset () |
| Delete matrix buffer. More... | |
The MatStp matrix class.
Creates zeroed matrix that uses ZeroMemAlloc (based on calloc function) and inherits armadillo Mat methods.
|
default |
MatStp default constructor.
|
inline |
MatStp constructor that receives matrix dimensions.
| [in] | n_rows | (arma::uword): Number of rows. |
| [in] | n_cols | (arma::uword): Number of columns. |
|
inline |
MatStp move constructor.
|
inline |
MatStp sum assignment operator.
|
inline |
MatStp move assignment operator.
|
inline |
Delete matrix buffer.


PWSchema Class Reference
| Inherits from | NSObject |
|---|---|
| Conforms to | NSCoding NSCopying |
| Declared in | PWSchema.h |
Overview
PWSchema
objects are applied to PWStructure
items and define what fields of data a particular PWStructure
item can contain. You can modify PWSchema
values in the MaaS portal. PWSchema
conforms to the NSCoding
and NSCopying
protocol.
Other Methods
schemaID
A string that is used to identify the Schema ID.
@property (nonatomic, readonly) NSString *schemaID
Declared In
PWSchema.h
name
A string that is used to identify the schema name.
@property (nonatomic, readonly) NSString *name
Declared In
PWSchema.h
fields
An array of PWSchemaField
objects associated with the schema.
@property (nonatomic, readonly) NSArray *fields
Declared In
PWSchema.h
attributes
A array of attributes associated with the schema. Attribute objects are of NSDictionary
type: @{@"key" : @"value"}
.
@property (nonatomic, readonly) NSArray *attributes
Declared In
PWSchema.h
tags
A array of tags associated with the schema. A tag is an NSString
object.
@property (nonatomic, readonly) NSArray *tags
Declared In
PWSchema.h
creationDate
The creation date of the schema.
@property (nonatomic, readonly) NSDate *creationDate
Declared In
PWSchema.h
lastUpdated
The date of the last update for the schema.
@property (nonatomic, readonly) NSDate *lastUpdated
Declared In
PWSchema.h
Convenience
+ unpack:
Convenience method to instantiate a PWSchema
object from a properly formatted NSDictionary
object.
+ (instancetype)unpack:(NSDictionary *)dictionary
Parameters
dictionary |
The dictionary from which to instantiate the |
|---|
Declared In
PWSchema.h
– dictionary
Returns an NSDictionary
representation of the current structure.
- (NSDictionary *)dictionary
Declared In
PWSchema.h


Notes
Stage 0
Key Terms/Ideas
HTML: HypertextMarkup Language
HTTP: Hypertext transfer protocol
Tags: These start and end a string of code, and give it a function to do something
Inline vs. Block: In reference to whether the tag provides an output that is part of a continuous line vs. making an editable box of code.
Inserting Comments: To insert comments into the HTML code, you can use the tag < ! -- (without the spaces)
Head: Element contains information that won't be displayed on the page
Title: Element normally sets the name of the browser tab
Linking a webpage: You can place the following code: a href="www.google.com" TEXT /a
Linking to an image: You can linke to an image by placing an inline tag img src="link to an image.jpg" alt="text" style="something by something"


{% extends 'portal/base.html' %} {% load staticfiles %} {% block title %} SLcM | Profile {% endblock %} {% block body %}
| Enrollment Details | |||
|---|---|---|---|
| Roll No. | {{ student_profile.student_id }} | Application No. | {{ student_profile.application_number }} |
| Enrollment No. | {{ student_profile.application_number }} | Academic Year | {{ student_profile.academic_year }} |
| Year of Passing | {{ student_profile.qualifying_exam_year }} | Semester | {{ sem }} |


A DECENTRALIZED AI COMPUTING BLOCKCHAIN
a machine that learns from the collective wisdom of the crowd


{% extends "blog/base.html" %}
{% block content %}
The purpose of this social network is connect the the world, to voice out their self will,opinions and verdict about the decisions made by any Government or Adminstration against its people.
Be it in a country,school or organisaton


This time the challenge proposed is a Match 3 game, like Bejeweled made by PopCap, Candy Crush Saga from King, or Frozen Free Fall developed by Genera Interactive who proposed me this challenge.
Challenge 2D
This is the result of a challenge proposed by Big Viking Games, they provided me the graphics and the development depended on me. It took me 10 days to develop it from scratch.
Procedural Terrain Generation
The first thing we should ask ourselves is: What is the procedural content generation and what we can do with it on games? PCG is the the automatic or computer-assisted generation of game content such as levels, landscapes, items, rules, quests etc. This time we are generating the terrain for a posible sandbox game using voxels, like Minecraft.
Puzzle Bobble (First Unity Project)
In order to learn something useful to have more opportunities to work in the game industry, I have decided to start doing projects with Unity, so here's the first.
Ray Tracing
In computer graphics, Ray Tracing is an algorithm for generating 3D images by tracing the path of light through pixels in an image plane and simulating the effects of its encounters with virtual objects, like reflections, refractions, shadows. The algorithm produce a very high degree of visual realism.


The 25 most valuable Championship players including Stoke City, Leeds United and Nottingham Forest stars
The most valuable players in the Championship have been ranked
by Josh ChalliesThe astronomical prices in the transfer market are widely reported and new data has identified which players in the Championship are worth the most money.
Collated by TransferMarkt , the prices reflect the value of each player and would not be the fees they would receive if they were to complete transfers, which is why some of the valuations may not be as you would consider.
Overall, Fulham striker Aleksandar Mitrovic is ranked as the most valuable player with a mouthwatering valuation of £22.5m, putting him £9m ahead of team-mate Tom Cairney in second place.
Despite Stoke City’s struggles this season, Jack Butland is joint third with a valuation of £10.8m, with Brentford’s Ollie Watkins, Leeds United’s Helder Costa, Fulham’s Alfie Mawson and Huddersfield Town’s Terence Kongolo all given the same price.
Fulham have the most players in the top 25 with a total of six, while Stoke City and Huddersfield Town both have four, with Leeds United on three and Brentford on two as the only other clubs to have more than one.
Cardiff City, Middlesbrough, Hull City, Blackburn Rovers, Bristol City and Nottingham Forest all have one player in the top 25.
You can see the full list below.
Most valuable Championship players
1. Aleksandar Mitrovic (Fulham) - £22.5m
2. Tom Cairney (Fulham) - £13.5m
3. Jack Butland (Stoke City) - £10.8m
4. Ollie Watkins (Brentford) - £10.8m
5. Helder Costa (Leeds, on loan from Wolves) - £10.8m
6. Alfie Mawson (Fulham) - £10.8m
7. Terence Kongolo (Huddersfield) - £10.8m
8. Kalvin Phillips (Leeds) - £9.9m
9. Josh Murphy (Cardiff) - £9m
10. Bobby Reid (Fulham) - £9m
11. Steve Mounie (Huddersfield) - £9m
12. Britt Assombalonga (Middlesbrough) - £9m
13. Ivan Cavaleiro (Fulham, on loan from Wolves) - £9m
14. Jarrod Bowen (Hull City) - £9m
15. Alex Pritchard (Huddersfield) - £8.1m
16. Badou Ndiaye (Stoke City) - £7.65m
17. Joe Allen (Stoke City) - £7.2m
18. Bradley Dack (Blackburn) - £7.2m
19. Benik Afobe (Bristol City, on loan from Stoke) - £7.2m
20. Joao Carvalho (Nottingham Forest) - £7.2m
21. Eddie Nketiah (Leeds, on loan from Arsenal) - £7.2m
22. Tom Ince (Stoke City) - £7.2m
23. Anthony Knockaert (Fulham, on loan from Brighton) - £7.2m
24. Adama Diakhaby (Huddersfield) - £7.2m
25. Said Benrahma (Brentford) - £7.2m
Get lots more news, opinion and transfer updates on our Bristol City FC page and add a bookmark to find it quickly next time.


/**
* Copyright 2017 Google Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import * as firestore from '@firebase/firestore-types';
import { FieldPath as InternalFieldPath } from '../model/path';
import { Code, FirestoreError } from '../util/error';
import {
invalidClassError,
validateArgType,
validateNamedArrayAtLeastNumberOfElements
} from '../util/input_validation';
// The objects that are a part of this API are exposed to third-parties as
// compiled javascript so we want to flag our private members with a leading
// underscore to discourage their use.
// tslint:disable:strip-private-property-underscore
/**
* A FieldPath refers to a field in a document. The path may consist of a single
* field name (referring to a top-level field in the document), or a list of
* field names (referring to a nested field in the document).
*/
export class FieldPath implements firestore.FieldPath {
/** Internal representation of a Firestore field path. */
_internalPath: InternalFieldPath;
/**
* Creates a FieldPath from the provided field names. If more than one field
* name is provided, the path will point to a nested field in a document.
*
* @param fieldNames A list of field names.
*/
constructor(...fieldNames: string[]) {
validateNamedArrayAtLeastNumberOfElements(
'FieldPath',
fieldNames,
'fieldNames',
1
);
for (let i = 0; i < fieldNames.length; ++i) {
validateArgType('FieldPath', 'string', i, fieldNames[i]);
if (fieldNames[i].length === 0) {
throw new FirestoreError(
Code.INVALID_ARGUMENT,
`Invalid field name at argument $(i + 1). ` +
'Field names must not be empty.'
);
}
}
this._internalPath = new InternalFieldPath(fieldNames);
}
/**
* Internal Note: The backend doesn't technically support querying by
* document ID. Instead it queries by the entire document name (full path
* included), but in the cases we currently support documentId(), the net
* effect is the same.
*/
private static readonly _DOCUMENT_ID = new FieldPath(
InternalFieldPath.keyField().canonicalString()
);
static documentId(): FieldPath {
return FieldPath._DOCUMENT_ID;
}
isEqual(other: firestore.FieldPath): boolean {
if (!(other instanceof FieldPath)) {
throw invalidClassError('isEqual', 'FieldPath', 1, other);
}
return this._internalPath.isEqual(other._internalPath);
}
}
/**
* Matches any characters in a field path string that are reserved.
*/
const RESERVED = new RegExp('[~\\*/\\[\\]]');
/**
* Parses a field path string into a FieldPath, treating dots as separators.
*/
export function fromDotSeparatedString(path: string): FieldPath {
const found = path.search(RESERVED);
if (found >= 0) {
throw new FirestoreError(
Code.INVALID_ARGUMENT,
`Invalid field path (${path}). Paths must not contain ` +
`'~', '*', '/', '[', or ']'`
);
}
try {
return new FieldPath(...path.split('.'));
} catch (e) {
throw new FirestoreError(
Code.INVALID_ARGUMENT,
`Invalid field path (${path}). Paths must not be empty, ` +
`begin with '.', end with '.', or contain '..'`
);
}
}
|


Research
Publications in reversed chronological order.
2022
-
Upside-Down Reinforcement Learning Can Diverge in Stochastic Environments With Episodic Resets Štrupl, Miroslav, Faccio, Francesco, Ashley, Dylan R., Schmidhuber, Jürgen, and Srivastava, Rupesh Kumar In arXiv [Abstract] [arXiv] [Code]
Upside-Down Reinforcement Learning (UDRL) is an approach for solving RL problems that does not require value functions and uses only supervised learning, where the targets for given inputs in a dataset do not change over time. Ghosh et al. proved that Goal-Conditional Supervised Learning (GCSL) – which can be viewed as a simplified version of UDRL – optimizes a lower bound on goal-reaching performance. This raises expectations that such algorithms may enjoy guaranteed convergence to the optimal policy in arbitrary environments, similar to certain well-known traditional RL algorithms. Here we show that for a specific episodic UDRL algorithm (eUDRL, including GCSL), this is not the case, and give the causes of this limitation. To do so, we first introduce a helpful rewrite of eUDRL as a recursive policy update. This formulation helps to disprove its convergence to the optimal policy for a wide class of stochastic environments. Finally, we provide a concrete example of a very simple environment where eUDRL diverges. Since the primary aim of this paper is to present a negative result, and the best counterexamples are the simplest ones, we restrict all discussions to finite (discrete) environments, ignoring issues of function approximation and limited sample size.
-
Learning Relative Return Policies With Upside-Down Reinforcement Learning Ashley, Dylan R., Arulkumaran, Kai, Schmidhuber, Jürgen, and Srivastava, Rupesh Kumar In Proceedings of the Multidisciplinary Conference on Reinforcement Learning and Decision Making [Abstract] [arXiv]
Lately, there has been a resurgence of interest in using supervised learning to solve reinforcement learning problems. Recent work in this area has largely focused on learning command-conditioned policies. We investigate the potential of one such method – upside-down reinforcement learning – to work with commands that specify a desired relationship between some scalar value and the observed return. We show that upside-down reinforcement learning can learn to carry out such commands online in a tabular bandit setting and in CartPole with non-linear function approximation. By doing so, we demonstrate the power of this family of methods and open the way for their practical use under more complicated command structures.
-
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL Arulkumaran, Kai, Ashley, Dylan R., Schmidhuber, Jürgen, and Srivastava, Rupesh Kumar In Proceedings of the Multidisciplinary Conference on Reinforcement Learning and Decision Making [Abstract] [arXiv]
Upside down reinforcement learning (UDRL) flips the conventional use of the return in the objective function in RL upside down, by taking returns as input and predicting actions. UDRL is based purely on supervised learning, and bypasses some prominent issues in RL: bootstrapping, off-policy corrections, and discount factors. While previous work with UDRL demonstrated it in a traditional online RL setting, here we show that this single algorithm can also work in the imitation learning and offline RL settings, be extended to the goal-conditioned RL setting, and even the meta-RL setting. With a general agent architecture, a single UDRL agent can learn across all paradigms.
-
Reward-Weighted Regression Converges to a Global Optimum Štrupl, Miroslav, Faccio, Francesco, Ashley, Dylan R., Srivastava, Rupesh Kumar, and Schmidhuber, Jürgen In Proceedings of the AAAI Conference on Artificial Intelligence [Abstract] [arXiv] [Code]
Reward-Weighted Regression (RWR) belongs to a family of widely known iterative Reinforcement Learning algorithms based on the Expectation-Maximization framework. In this family, learning at each iteration consists of sampling a batch of trajectories using the current policy and fitting a new policy to maximize a return-weighted log-likelihood of actions. Although RWR is known to yield monotonic improvement of the policy under certain circumstances, whether and under which conditions RWR converges to the optimal policy have remained open questions. In this paper, we provide for the first time a proof that RWR converges to a global optimum when no function approximation is used, in a general compact setting. Furthermore, for the simpler case with finite state and action spaces we prove R-linear convergence of the state-value function to the optimum.
2021
-
Automatic Embedding of Stories Into Collections of Independent Media Ashley, Dylan R., Herrmann, Vincent, Friggstad, Zachary, Mathewson, Kory W., and Schmidhuber, Jürgen In arXiv [Abstract] [arXiv] [Code]
We look at how machine learning techniques that derive properties of items in a collection of independent media can be used to automatically embed stories into such collections. To do so, we use models that extract the tempo of songs to make a music playlist follow a narrative arc. Our work specifies an open-source tool that uses pre-trained neural network models to extract the global tempo of a set of raw audio files and applies these measures to create a narrative-following playlist. This tool is available at https://github.com/dylanashley/playlist-story-builder/releases/tag/v1.0.0
-
Does the Adam Optimizer Exacerbate Catastrophic Forgetting? Ashley, Dylan R., Ghiassian, Sina, and Sutton, Richard S. In arXiv [Abstract] [arXiv] [Code]
Catastrophic forgetting remains a severe hindrance to the broad application of artificial neural networks (ANNs), however, it continues to be a poorly understood phenomenon. Despite the extensive amount of work on catastrophic forgetting, we argue that it is still unclear how exactly the phenomenon should be quantified, and, moreover, to what degree all of the choices we make when designing learning systems affect the amount of catastrophic forgetting. We use various testbeds from the reinforcement learning and supervised learning literature to (1) provide evidence that the choice of which modern gradient-based optimization algorithm is used to train an ANN has a significant impact on the amount of catastrophic forgetting and show that-surprisingly-in many instances classical algorithms such as vanilla SGD experience less catastrophic forgetting than the more modern algorithms such as Adam. We empirically compare four different existing metrics for quantifying catastrophic forgetting and (2) show that the degree to which the learning systems experience catastrophic forgetting is sufficiently sensitive to the metric used that a change from one principled metric to another is enough to change the conclusions of a study dramatically. Our results suggest that a much more rigorous experimental methodology is required when looking at catastrophic forgetting. Based on our results, we recommend inter-task forgetting in supervised learning must be measured with both retention and relearning metrics concurrently, and intra-task forgetting in reinforcement learning must-at the very least-be measured with pairwise interference.
-
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search Ashley, Dylan R., Kanervisto, Anssi, and Bennett, Brendan In Proceedings of the Conference of the ACH Special Interest Group on Harry Q. Bovik [Abstract] [arXiv] [PDF] [Code]
We present AlphaChute: a state-of-the-art algorithm that achieves superhuman performance in the ancient game of Chutes and Ladders. We prove that our algorithm converges to the Nash equilibrium in constant time, and therefore is–to the best of our knowledge–the first such formal solution to this game. Surprisingly, despite all this, our implementation of AlphaChute remains relatively straightforward due to domain-specific adaptations. We provide the source code for AlphaChute here in our Appendix.
2020
-
Understanding Forgetting in Artificial Neural Networks Ashley, Dylan R. Master’s thesis, University of Alberta [Abstract] [PDF] [Code] [Slides]
This thesis is offered as a step forward in our understanding of forgetting in artificial neural networks. ANNs are a learning system loosely based on our understanding of the brain and are responsible for recent breakthroughs in artificial intelligence. However, they have been reported to be particularly susceptible to forgetting. Specifically, existing research suggests that ANNs may exhibit unexpectedly high rates of retroactive inhibition when compared with results from psychology studies measuring forgetting in people. If this phenomenon, dubbed catastrophic forgetting, exists, then explicit methods intended to reduce it may increase the scope of problems ANNs can be successfully applied to. In this thesis, we contribute to the field by answering five questions related to forgetting in ANNs: How does forgetting in psychology relate to ideas in machine learning? What is catastrophic forgetting? Does it exist in contemporary systems, and, if so, is it severe? How can we measure a system’s susceptibility to it? Are the current optimization algorithms we use to train ANNs adding to its severity? This work answers each of the five questions sequentially. We begin by answering the first and second of the five questions by providing an analytical survey that looks at the concept of forgetting as it appears in psychology and connects it to various ideas in machine learning such as generalization, transfer learning, experience replay, and eligibility traces. We subsequently confirm the existence and severity of catastrophic forgetting in some contemporary machine learning systems by showing that it appears when a simple, modern ANN (multi-layered fully-connected network with rectified linear unit activation) is trained using a conventional algorithm (Stochastic Gradient Descent through backpropagation with normal random initialization) incrementally on a well-known multi-class classification setting (MNIST). We demonstrate that the phenomenon is a more subtle problem than a simple reversal of learning. We accomplish this by noting that both total learning time and relearning time are reduced when the multi-class classification problem is split into multiple phases containing samples from disjoint subsets of the classes. We then move on to looking at how we can measure the degree to which ANN-based learning systems suffer from catastrophic forgetting by constructing a principled testbed out of the previous multi-task supervised learning problem and two well-studied reinforcement learning problems (Mountain Car and Acrobot). We apply this testbed to answer the final of the five questions by looking at how several modern gradient-based optimization algorithms used to train ANNs (SGD, SGD with Momentum, RMSProp, and Adam) affect the amount of catastrophic forgetting that occurs during training. While doing so, we are able to confirm and expand previous hypotheses surrounding the complexities of measuring catastrophic forgetting. We find that different algorithms, even when applied to the same ANN, result in significantly different amounts of catastrophic forgetting under a variety of different metrics. We believe that our answers to the five questions constitute a step forward in our understanding of forgetting as it appears in ANNs. Such an understanding is essential for realizing the full potential that ANNs offer to the study of artificial intelligence.
-
Universal Successor Features for Transfer Reinforcement Learning Ma, Chen, Ashley, Dylan R., Wen, Junfeng, and Bengio, Yoshua In arXiv [Abstract] [arXiv]
Transfer in Reinforcement Learning (RL) refers to the idea of applying knowledge gained from previous tasks to solving related tasks. Learning a universal value function (Schaul et al., 2015), which generalizes over goals and states, has previously been shown to be useful for transfer. However, successor features are believed to be more suitable than values for transfer (Dayan, 1993; Barreto et al., 2017), even though they cannot directly generalize to new goals. In this paper, we propose (1) Universal Successor Features (USFs) to capture the underlying dynamics of the environment while allowing generalization to unseen goals and (2) a flexible end-to-end model of USFs that can be trained by interacting with the environment. We show that learning USFs is compatible with any RL algorithm that learns state values using a temporal difference method. Our experiments in a simple gridworld and with two MuJoCo environments show that USFs can greatly accelerate training when learning multiple tasks and can effectively transfer knowledge to new tasks.
2019
-
Learning to Select Mates in Evolving Non-playable Characters Ashley, Dylan R., Chockalingam, Valliappa, Kuzma, Braedy, and Bulitko, Vadim In Proceedings of the IEEE Conference on Games [Abstract] [PDF] [Slides]
Procedural content generation (PCG) is an active area of research with the potential to significantly reduce game development costs as well as create game experiences meaningfully personalized to each player. Evolutionary methods are a promising method of generating content procedurally. In particular asynchronous evolution of AI agents in an artificial life (A-life) setting is notably similar to the online evolution of non-playable characters in a video game. In this paper, we are concerned with improving the efficiency of evolution via more effective mate selection. In the spirit of PCG, we genetically encode each agent’s preference for mating partners and thereby allowing the mate-selection process to evolve. We evaluate this approach in a simple predator-prey A-life environment and demonstrate that the ability to evolve a per-agent mate-selection preference function indeed significantly increases the extinction time of the population. Additionally, an inspection of the evolved preference function parameters shows that agents evolve to favor mates who have survival traits.
-
Learning to Select Mates in Artificial Life Ashley, Dylan R., Chockalingam, Valliappa, Kuzma, Braedy, and Bulitko, Vadim In Proceedings of the Genetic and Evolutionary Computation Conference Companion [Abstract] [PDF] [Code]
Artificial life (A-life) simulations present a natural way to study interesting phenomena emerging in a population of evolving agents. In this paper, we investigate whether allowing A-life agents to select mates can extend the lifetime of a population. In our approach, each agent evaluates potential mates via a preference function. The role of this function is to map information about an agent and its candidate mate to a scalar preference for deciding whether or not to form an offspring. We encode the parameters of the preference function genetically within each agent, thus allowing such preferences to be agent-specific as well as evolving over time. We evaluate this approach in a simple predator-prey A-life environment and demonstrate that the ability to evolve a per-agent mate-selection preference function indeed significantly increases the extinction time of the population. Additionally an inspection of the evolved preference function parameters shows that agents evolve to favor mates who have survival traits.
2018
-
Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return Sherstan, Craig, Ashley, Dylan R., Bennett, Brendan, Young, Kenny, White, Adam, White, Martha, and Sutton, Richard S. In Proceedings of the Conference on Uncertainty in Artificial Intelligence [Abstract] [PDF] [SUP] [Code] [Poster] [Slides]
Temporal-difference (TD) learning methods are widely used in reinforcement learning to estimate the expected return for each state, without a model, because of their significant advantages in computational and data efficiency. For many applications involving risk mitigation, it would also be useful to estimate the variance of the return by TD methods. In this paper, we describe a way of doing this that is substantially simpler than those proposed by Tamar, Di Castro, and Mannor in 2012, or those proposed by White and White in 2016. We show that two TD learners operating in series can learn expectation and variance estimates. The trick is to use the square of the TD error of the expectation learner as the reward of the variance learner, and the square of the expectation learner’s discount rate as the discount rate of the variance learner. With these two modifications, the variance learning problem becomes a conventional TD learning problem to which standard theoretical results can be applied. Our formal results are limited to the table lookup case, for which our method is still novel, but the extension to function approximation is immediate, and we provide some empirical results for the linear function approximation case. Our experimental results show that our direct method behaves just as well as a comparable indirect method, but is generally more robust.
-
The Alberta Workloads for the SPEC CPU 2017 Benchmark Suite Amaral, José Nelson, Borin, Edson, Ashley, Dylan R., Benedicto, Caian, Colp, Elliot, Hoffmam, Joao Henrique Stange, Karpoff, Marcus, Ochoa, Erick, Redshaw, Morgan, and Rodrigues, Raphael Ernani In Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software [Abstract] [PDF] [Code]
A proper evaluation of techniques that require multiple training and evaluation executions of a benchmark, such as Feedback-Directed Optimization (FDO), requires multiple workloads that can be used to characterize variations on the behaviour of a program based on the workload. This paper aims to improve the performance evaluation of computer systems - including compilers, computer architecture simulation, and operating-system prototypes - that rely on the industrystandard SPEC CPU benchmark suite. A main concern with the use of this suite in research is that it is distributed with a very small number of workloads. This paper describes the process to create additional workloads for this suite and offers useful insights in many of its benchmarks. The set of additional workloads created, named the Alberta Workloads for the SPEC CPU 2017 Benchmark Suite1 is made freely available with the goal of providing additional data points for the exploration of learning in computing systems. These workloads should also contribute to ameliorate the hidden learning problem where a researcher sets parameters to a system during development based on a set of benchmarks and then evaluates the system using the very same set of benchmarks with the very same workloads.
-
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods Sherstan, Craig, Bennett, Brendan, Young, Kenny, Ashley, Dylan R., White, Adam, White, Martha, and Sutton, Richard S. In arXiv [Abstract] [arXiv]
This paper investigates estimating the variance of a temporal-difference learning agent’s update target. Most reinforcement learning methods use an estimate of the value function, which captures how good it is for the agent to be in a particular state and is mathematically expressed as the expected sum of discounted future rewards (called the return). These values can be straightforwardly estimated by averaging batches of returns using Monte Carlo methods. However, if we wish to update the agent’s value estimates during learning–before terminal outcomes are observed–we must use a different estimation target called the λ-return, which truncates the return with the agent’s own estimate of the value function. Temporal difference learning methods estimate the expected λ-return for each state, allowing these methods to update online and incrementally, and in most cases achieve better generalization error and faster learning than Monte Carlo methods. Naturally one could attempt to estimate higher-order moments of the λ-return. This paper is about estimating the variance of the λ-return. Prior work has shown that given estimates of the variance of the λ-return, learning systems can be constructed to (1) mitigate risk in action selection, and (2) automatically adapt the parameters of the learning process itself to improve performance. Unfortunately, existing methods for estimating the variance of the λ-return are complex and not well understood empirically. We contribute a method for estimating the variance of the λ-return directly using policy evaluation methods from reinforcement learning. Our approach is significantly simpler than prior methods that independently estimate the second moment of the λ-return. Empirically our new approach behaves at least as well as existing approaches, but is generally more robust.


public interface LavaPlayer
This is the second most important class in LavaClient after, well, LavaClient, and controls all playback/update methods + more.
| Modifier and Type | Method and Description |
|---|---|
void |
addListener(samophis.lavalink.client.entities.events.AudioEventListener listener)
Adds a listener to this player.
|
void |
connect(java.lang.String session_id,
java.lang.String token,
java.lang.String endpoint)
|
void |
destroyPlayer()
Requests the Lavalink-Server to destroy the player.
|
void |
emitEvent(samophis.lavalink.client.entities.events.PlayerEvent event)
Emits an
event to all listeners attached to the player. |
long |
getChannelId()
Fetches the ID of the Voice Channel this player is associated with.
|
LavaClient |
getClient()
Fetches the
LavaClient instance this player is attached to. |
AudioNode |
getConnectedNode()
Fetches the
AudioNode this player will attempt to send data to. |
java.lang.String |
getEndpoint()
The last Voice Server Endpoint previously used to connect to a Lavalink Node, stored by LavaClient for later use with re-connecting.
|
long |
getGuildId()
Fetches the ID of the Guild this player is associated with.
|
java.util.List<samophis.lavalink.client.entities.events.AudioEventListener> |
getListeners()
Retrieves an unmodifiable list of all the
listeners attached to this player. |
com.sedmelluq.discord.lavaplayer.track.AudioTrack |
getPlayingTrack()
Fetches the Lavaplayer AudioTrack currently playing, as updated internally by LavaClient.
|
long |
getPosition()
Fetches The position of the player.
|
java.lang.String |
getSessionId()
The last Session ID previously used to connect to a Lavalink Node, stored by LavaClient for later use with re-connecting.
|
State |
getState()
Returns the not-null current
State of this player. |
long |
getTimestamp()
Fetches the UNIX Timestamp as provided by the player update events from the Lavalink-Server.
|
java.lang.String |
getVoiceToken()
The last Voice Token previously used to connect to a Lavalink Node, stored by LavaClient for later use with re-connecting.
|
int |
getVolume()
Fetches the current volume of the player.
|
boolean |
isPaused()
Whether or not the player is currently paused.
|
AudioWrapper |
loadTracks(java.lang.String identifier)
Uses the
AudioNode with the least load acting upon it to load the track(s) associated with an identifier. |
void |
loadTracksAsync(java.lang.String identifier,
java.util.function.Consumer<AudioWrapper> callback)
Asynchronously loads track(s) using the
AudioNode with the least load acting upon it. |
void |
playTrack(com.sedmelluq.discord.lavaplayer.track.AudioTrack track)
Plays a track using the best, available
AudioNode . |
void |
playTrack(com.sedmelluq.discord.lavaplayer.track.AudioTrack track,
long startTime,
long endTime)
Plays a track using the best, available
AudioNode . |
void |
playTrack(java.lang.String identifier)
Plays a track using the best, available
AudioNode . |
void |
playTrack(java.lang.String identifier,
long startTime,
long endTime)
Plays a track using the best, available
AudioNode . |
void |
seek(long position)
Skips to a certain position in a track.
|
void |
setNode(AudioNode node)
Sets the node to connect and send data to.
|
void |
setPaused(boolean isPaused)
Sets whether or not to pause playback.
|
void |
setVolume(int volume)
Sets the volume of playback.
|
void |
stopTrack()
Requests the Lavalink Server to stop playback
|
@Nullable AudioNode getConnectedNode()
AudioNode
this player will attempt to send data to.AudioNode
this player will attempt to send all data to.@Nullable com.sedmelluq.discord.lavaplayer.track.AudioTrack getPlayingTrack()
@Nonnegative LavaClient getClient()
LavaClient
instance this player is attached to.LavaClient
instance this player is associated with.@Nonnegative java.util.List<samophis.lavalink.client.entities.events.AudioEventListener> getListeners()
listeners
attached to this player.listener
this player is aware of.@Nonnull State getState()
State
of this player.State
of this player.@Nonnegative long getGuildId()
@Nonnegative long getChannelId()
Note: The Channel ID is never set internally by LavaClient as it relies on voice updates from the user. It's unreliable as it's easily forgotten to be set.
@Nonnegative long getTimestamp()
@Nonnegative long getPosition()
java.lang.IllegalStateException
- If the player isn't currently playing anything.@Nonnegative int getVolume()
boolean isPaused()
@Nullable java.lang.String getSessionId()
@Nullable java.lang.String getVoiceToken()
@Nullable java.lang.String getEndpoint()
void addListener(@Nonnull samophis.lavalink.client.entities.events.AudioEventListener listener)
listener
- The non-null listener to add to the player.java.lang.NullPointerException
- If the provided listener is null.void playTrack(@Nonnull com.sedmelluq.discord.lavaplayer.track.AudioTrack track)
AudioNode
.
Note: Playing an AudioTrack directly saves a little bit of latency but also puts more load on the client and forces you to implement Lavaplayer on a wider scale.
It's your choice whether or not you wish to load songs remotely via an identifier or via a track. Both work perfectly and all methods do cache, removing some latency/load.
Additionally, all the playTrack
methods will only play one track. Even if a search is done or a playlist is loaded, only one song is played due to
the nature of music bots not being locked and uniform.
track
- The non-null track to play.java.lang.NullPointerException
- If the provided AudioTrack was null
.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void playTrack(@Nonnull com.sedmelluq.discord.lavaplayer.track.AudioTrack track, @Nonnegative long startTime, long endTime)
AudioNode
.
Note: Playing an AudioTrack directly saves a little bit of latency but also puts more load on the client and forces you to implement Lavaplayer on a wider scale.
It's your choice whether or not you wish to load songs remotely via an identifier or via track. Both work perfectly and all methods do cache, removing some latency/load.
track
- The non-null AudioTrack to play.startTime
- The starting time of the track, useful for playing only sections of a track. Leave as 0 (not negative one) to start from the beginning of the track.endTime
- The ending time of the track, useful for playing only sections of a track. Leave as -1 (not zero) to play what's left of the track from the start time.java.lang.NullPointerException
- If the provided AudioTrack was null
.java.lang.IllegalArgumentException
- If the ending time is smaller than the starting time.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void playTrack(@Nonnull java.lang.String identifier)
AudioNode
.
Note: Playing a track via an identifier adds a little bit of latency but also puts less load on the client and removes the need to implement Lavaplayer more widely.
It's your choice whether or not you wish to load songs remotely via an identifier or via a track. Both work perfectly and all methods do cache, removing some latency/load.
identifier
- The non-null identifier from which to load an AudioTrack.java.lang.NullPointerException
- If the provided identifier was null
.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void playTrack(@Nonnull java.lang.String identifier, @Nonnegative long startTime, long endTime)
AudioNode
.
Note: Playing a track via an identifier adds a little bit of latency but also puts less load on the client and removes the need to implement Lavaplayer more widely.
It's your choice whether or not you wish to load songs remotely via an identifier or via a track. Both work perfectly and all methods do cache, removing some latency/load.
Additionally, all the playTrack
methods will only play one track. Even if a search is done or a playlist is loaded, only one song is played due to
the nature of music bots not being locked and uniform.
identifier
- The non-null identifier from which to load an AudioTrack.startTime
- The starting time of the track, useful for playing only sections of a track. Leave as 0 (not negative one) to start from the beginning of the track.endTime
- The ending time of the track, useful for playing only sections of a track. Leave as -1 (not zero) to play what's left of the track from the start time.java.lang.NullPointerException
- If the provided identifier was null
.java.lang.IllegalArgumentException
- If the ending time is smaller than the starting time.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.@Nonnull AudioWrapper loadTracks(@Nonnull java.lang.String identifier)
AudioNode
with the least load acting upon it to load the track(s) associated with an identifier.
Returns an AudioWrapper
object which wraps search results, playlists or normal tracks into one object.
identifier
- The not-null identifier used to actually load the tracks.AudioWrapper
object which contains the loaded tracks.java.lang.NullPointerException
- If the provided identifier was null
.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void loadTracksAsync(@Nonnull java.lang.String identifier, @Nonnull java.util.function.Consumer<AudioWrapper> callback)
AudioNode
with the least load acting upon it.
Follow up code depending on the result MUST be run in the callback to ensure linear and properly working code.
For small bots you can use the blocking loadTracks(String)
method which blocks the calling thread until the response is received,
allowing you to avoid callbacks at the sake of performance!
identifier
- The not-null identifier used to actually load the tracks.callback
- The not-null callback used to actually do something with the loaded tracks.java.lang.NullPointerException
- If the provided identifier or callback were null
.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void stopTrack()
java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void setPaused(boolean isPaused)
Fires a PlayerPauseEvent or a PlayerResumeEvent.
isPaused
- If the player should pause.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void destroyPlayer()
Note: It's VERY important to realize that the LavaPlayer object will maintain its state, allowing for future reconnects at the same position.
java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.void seek(@Nonnegative long position)
This method will return early if the provided position was larger than the duration of the track.
position
- The position, in milliseconds, to skip to.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.java.lang.IllegalArgumentException
- If the provided position was negative.void setVolume(@Nonnegative int volume)
Note: If the provided volume is over 150, this method will return early instead of sending a volume update.
volume
- The volume to set playback to, automatically bounded from 0 to 150 inclusive.java.lang.IllegalStateException
- If the player isn't currently connected to a AudioNode
.java.lang.IllegalArgumentException
- If the provided volume was negative.void setNode(@Nonnull AudioNode node)
This player will attempt to disconnect from its currently-connected node if the specified node is null
.
void emitEvent(@Nonnull samophis.lavalink.client.entities.events.PlayerEvent event)
event
to all listeners
attached to the player.
Note: This uses reflection to determine the method to fire and thus shouldn't be used quickly/abusively.
event
- The non-null event to fire.java.lang.NullPointerException
- If the event provided is null
.void connect(@Nonnull java.lang.String session_id, @Nonnull java.lang.String token, @Nonnull java.lang.String endpoint)
AudioNode
, setting the state to CONNECTED
.
This method shouldn't be called unless you know what you're doing. Use an EventWaiter
wherever possible.
session_id
- The not-null Session ID from the Discord VOICE_STATE_UPDATE Event.token
- The not-null Voice Token from the Discord VOICE_SERVER_UPDATE Event.endpoint
- The not-null Endpoint from the Discord VOICE_SERVER_UPDATE Event.java.lang.IllegalStateException
- If this player is already connected to a node.java.lang.NullPointerException
- If any of the provided parameters were null
.


Popular Facebook cartoon family photos and pictures - how to make them
Festive website is proving popular amongst family who are posting their creations online
by Emma Gill, Danny ThompsonFacebook is a trove of new fads - but one festive idea is taking off more than most.
People are using a website to turn themselves and their families into festive cartoons, complete with Christmas trees and stockings.
No doubt you'll have seen friends and family using the site and posting their pictures on Facebook.
But how is it done? MEN tells us more.
The site being used actually started off as somewhere to design personalised Christmas mugs.
The MadeMine site allows people to select the number of people and pets in their family, add their names and even choose their hair colour to make it a true likeness - people have been sharing their finished creation on Facebook which has helped spread its popularity.
Various backdrops are available, though the Christmas tree one does look to be most popular.
Visit the website for more details.


How does it work?
This site works by creating a circle with 5km radius from the point your specify. This is 5km "as the bird flies" as the maximum limit, not 5km by any road or means of transport. The 5km area of travel by road may be much smaller.
Follow the advice of your local health authorities above all else. For Victoria, that is the Department of Health and Human Services. Stay safe
More Info
Disclaimer:
This site is for informational purposes only, and should should not be used for official purposes, nor has any guarantees of accuracy for legal purposes. Listen to guidance from your local health authorities