Interfaces used for replication of tables from a server or table provider to a client. On the client side the table will be written into a local database. On the server side the table could be anything. The replication relies on a underlying websocket connection which provides JsonApi for message exchange.
There is a client for the client (replicate) and the server (publish):
| File | common/interface/replication.h |
| Classes |
IReplicator UReplicator |
class IReplicator : public UJsonApiContext {
public:
virtual ~IReplicator() {};
virtual void Update(const char * domain, const char * instance) = 0;
virtual void AddColumn(const char * remote, const char * local, enum ReplicationType type, bool update) = 0;
virtual class IReplicatorArray * AddArray(const char * remote, const char * local, bool update, const char * reference) = 0;
virtual void Initialize(const char * row) = 0;
virtual void Added(ulong64 id) = 0;
virtual void Deleted(ulong64 id) = 0;
virtual void DeletedConfirm(ulong64 id) = 0;
virtual void Updated(ulong64 id, ulong64 mask=0xffffffffffffffffLL) = 0;
virtual void Start() = 0;
virtual void Stop() = 0;
static class IReplicator * createReplicator(class UReplicator * user, const char * remote, const char * domain, const char * instance, const char * domainProperty, const char * instanceProperty, class IDatabase * database, const char * local, bool add, bool del);
};
The IReplicator function is the virtual interface class returned when creating the replicator. The public interface functions of this class are called to perform any operations.
This functions is called to create the replicator as part of the initialization.
| class UReplicator * user | Use the UReplicator class as base class of one of your classes. The virtual functions of this class are called so signal events from the replicator the the user of the replicator. |
| const char * remote | The remote table name, used to publish the table. This name is used inside the replication protocol as "api" property. |
| const char * domain, instance | If the App Service can receive AppWebsocket connections from multiple domains and instances, these parameters can be used to only use matching connections for the replication. |
| const char * domainProperty, instanceProperty | The name of the properties used to send domain and instance in the message which is used to decide, that this AppWebsocket connection can be used for replication. |
| class IDatabase * database | The database pointer |
| const char * local | The name of the local database table, into which the remote table is replicated |
| bool add | If true, the replicator announces that it may add to the replicated table. If this is not possible on the publisher of the table, the replication won't start. |
| bool del | If true, the replicator announces that it may delete from the replicated table. If this is not possible on the publisher of the table, the replication won't start. |
For this to work, the AppInstance class needs to use JsonApiContext as base class.
class <Your App Name>> : public AppInstance, ... , public JsonApiContext
After createReplicator is called the interface has to be registered in the JsonApiContext
replicator = IReplicator::createReplicator(this, ...);
RegisterJsonApi(replicator);
When an AppWebsocket connection is established, which may be used for the replication, this AppWebsocket connection needs to be added to the JsonApiContext:
class <Your App Session>> : ..., public AppWebsocket, ... {
// when receiving a message indicating this session is used for replication
class JsonApi * jsonApi = <App Instance class>->CreateJsonApi(<Table Name>, this, msg, base);
if (jsonApi) jsonApi->JsonApiStart();
Function may be called to update domain and instance (see creatReplicator). The replication is restarted when this function is called
| const char * domain, instance | If the App Service can receive AppWebsocket connections from multiple domains and instances, these parameters can be used to only use matching connections for the replication. |
After the replicator is created, the columns which should be replicated must be configured. This is done by calling AddColumn for each column.
| const char * remote | The column name under which it is published |
| const char * local | The local database column name |
| enum ReplicationType type |
|
| bool update | The replicator user may update this column |
An column in the table can consist of an array of objects. This array is added with the AddArray function the same way as simple elements are added with AddColumn. The array of objects is represented as table with columns, with each elemnt of the object as column.
| const char * remote | The column name under which it is published |
| const char * local | The local database column name |
| bool update | The replicator user may update this column |
| const char * reference | The name of the column in the database table used for the join to a column of "id" in the array table. |
Called to initialize the local database table. Must be called, after the replicator is created and all columns are added. The UReplicator::Initialited function is called when the initialization is complete.
| const char * row |
The Initialize creates a database table "replicator_full", which is used to
store the replicated rows after the initial full replication, so that the
rows not present on the publisher anymore can be deleted. This table has a
column "id" as unique id and uses the column "row" to link to the replicated
table. The argument row is the SQL defintion used for the column.
Example: "BIGINT REFERENCES users(id) ON DELETE CASCADE NOT NULL" |
Called when a row was added to the local table, so that the replicator can replicate the change to the publisher
| ulong64 id | The id of the row added |
Called when a row is to be deleted locally, so that the replicator can replicate the deletetion to the publisher. The actual database delete should be done after the DeletedConfirm callback
| ulong64 id | The id of the row to be deleted |
Call to acknowlegde an incoming Deleted call. Only after the DeletedConfirm call the row is deleted from the table.
| ulong64 id | The id of the row to be deleted |
Called when a row was updated in the local table, so that the replicator can replicate the change to the publisher
| ulong64 id | The id of the row updated |
Call to start the replicator after it was stopped. After initialization the replicator is started automatically, so there is no need to call Start.
Call to stop the replicator
class UReplicator {
public:
virtual void ReplicatorInitialized() = 0;
virtual void ReplicatorAdded(ulong64 id) = 0;
virtual void ReplicatorDeleted(ulong64 id) = 0;
virtual void ReplicatorDeletedConfirm(ulong64 id) = 0;
virtual void ReplicatorDeletedConfirmComplete(ulong64 id) = 0;
virtual void ReplicatorUpdated(ulong64 id, ulong64 mask) = 0;
virtual void ReplicatorSessionInitialized() {}
virtual void ReplicatorStopped() = 0;
virtual void ReplicatorUpdate(class json_io & msg, word base, bool initial) {};
virtual void ReplicatorStart(class json_io & msg, word base, char * & tmp) {};
};
Called when replicator initialization is complete
Called when a row was added by the replicator
| ulong64 id | The id of the row added |
Called when a row was deleted on the publisher. Locally the row is deleted only after DeletedConfirm is called
| ulong64 id | The id of the row deleted |
Called when a row can be deleted locally after a Deleted was called
| ulong64 id | The id of the row deleted |
Called when a row was deleted locally after a DeletedConfirm call
| ulong64 id | The id of the row deleted |
Called when a row was updated by the replicator
| ulong64 id | The id of the row deleted |
| ulong64 mask | A 1 is set in this value for each updated column, with the bit position beeing the position of the column in the AddColumn calls. |
?
?
?
Callback to add custom arguments to the ReplicateStart message. The JSON properties, which may be added here depend on the publisher of the table.


Just Make a Scatter Plot
Controls [C]
Controls
Keys
Description
Left Mouse Button
or
Mouse over graph + W
Creates data point
R
Clears graph
S
Opens file dialog to save visible data points to JSON file
C
Toggle controls modal
Graph Width:
Graph Height:


|
CUGL
2.0
|
#include <cugl.h>
Public Member Functions | |
| Interpolator () | |
| Interpolator (const Quaternion &qFirst, const Quaternion &qLast) | |
| void | set (const Quaternion &qFirst, const Quaternion &qLast) |
| void | apply (double t) const |
| void | getMatrix (double t, GL_Matrix m) const |
| Quaternion | getQuaternion (double t) const |
| virtual void | idle () |
| virtual void | apply () const |
| virtual void | update () |
| Public Member Functions inherited from cugl::BaseCamera | |
| BaseCamera () | |
| void | setSteps (int s) |
Protected Member Functions | |
| void | initialize () |
Protected Attributes | |
| Quaternion | current |
| Quaternion | first |
| Quaternion | last |
| double | omega |
| double | sinOmega |
| double | cosOmega |
| Protected Attributes inherited from cugl::BaseCamera | |
| int | steps |
| int | maxSteps |
An instance is an interpolator for rotations. An instance of Interpolator is used to interpolate between two rotations. In other words, given two orientations of an object, an interpolator can be used to move the object smoothly from one orientation to the other. An interpolator is represented by two quaternions representing the extreme values of the rotations. When a real number t in the interval [0,1] is passed to the interpolator, the interpolator constructs a third quaternion representing an intermediate orientation. This quaternion can be used to generate a rotation matrix or transform the OpenGL model view.
The simplest way to use this class is as follows:
i.apply(t)
, giving t a sequence of values ranging from 0 to 1. | cugl::Interpolator::Interpolator | ( | ) |
Construct an interpolator with dummy values for the quaternions. The interpolator may fail if it is used without first setting the start and finish quaternions. Use Quaternion::set()
to change the first and last quaternions to useful values.
| cugl::Interpolator::Interpolator | ( | const Quaternion & | qFirst, |
| const Quaternion & | qLast | ||
| ) |
Construct an interpolator to rotate from qFirst
to qLast
. Report error BAD_INTERPOLATOR_ARG
if qFirst
= qLast
.
| void cugl::Interpolator::apply | ( | double | t | ) | const |
Perform the rotation at position t, 0 <= t <= 1 by modifying the current OpenGL transformation matrix.
|
virtual |
Apply the Interpolator rotation to the model-view matrix. This function calls apply(t) with parameters t which is actually steps/maxSteps. It should be called in the GLUT display function or its equivalent after the model-view matrix has been initialized.
Implements cugl::BaseCamera.
|
inline |
Compute the rotation matrix for position t, 0 <= t <= 1.
Definition at line 3307 of file cugl.h.
References getQuaternion(), and cugl::Quaternion::matrix().
| Quaternion cugl::Interpolator::getQuaternion | ( | double | t | ) | const |
Return the quaternion for position t, 0 <= t <= 1.
Referenced by getMatrix().
|
virtual |
Update the Interpolator position. This function should be called from the GLUT idle() function or its equivalent. It performs one step of the motion until the motion is complete, after which it has no effect.
Implements cugl::BaseCamera.
|
protected |
Initialize the interpolator.
| void cugl::Interpolator::set | ( | const Quaternion & | qFirst, |
| const Quaternion & | qLast | ||
| ) |
Change the first and last quaternions of an existing interpolator. Report error BAD_INTERPOLATOR_ARG
if qFirst
= qLast
.
|
inlinevirtual |
Update Interpolator first and last Quaternion.
Reimplemented from cugl::BaseCamera.
|
protected |
|
protected |
|
protected |
|
protected |
|
protected |
|
protected |


The Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system is the primary vessel in which the SEC publishes financial reports to the public. EDGAR makes it easy to search for a company based on CIK or ticker. The system contains data starting from 1995-09-15 until today and is still in use by the SEC.
With regards to structured financial records (reports in XML/XBRL format), companies are going to be required to begin filing financial reports in a structured format according to the rules described below:
U.S. GAAP filers have a three-year phase-in to comply with the Inline XBRL requirements as follows, beginning with fiscal periods ending on or after: June 15, 2019 for large accelerated filers June 15, 2020 for accelerated filers June 15, 2021 for all other filers
(excerpt taken from SEC Inline XBRL website)


--- layout: post title: "Extreme Mollycoddling" external-url: http://www.abc.net.au/news/stories/2010/07/06/2945557.htm ---
An English couple are under fire for letting kids cycle to school. It’s a 1500m route along footpaths that the parents have taught their children. The most “dangerous” part involves crossing one road manned by a lollipop lady.
Needless to say, this is madness. I started cycling to school from grade 2 and I still remember the liberation I felt being able to ride to school and friend’s houses. There was a huge bike lockup at my primary school which was always filled to the brim with bikes.
Ironically, it’s the convoy of automobiles carrying one child each and the infrastructure to support it at the expense of safer bike and pedestrian facilities that make such independence at all dangerous to begin with. No primary school kid wearing a helmet is going to die in even a bike on bike accident. I fell off my bike more times than I can remember riding to and from school, a little road rash does nothing but teach kids how to deal with crises, albeit small ones, independently.
It seems that even in the 12 years since I was in primary school such freedom has been eradicated. I’d be very interested to go back to my primary school to see how full the bike rack is now.


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FROM ANY LOCATION OF PAKISTAN to "MURREE"
TRANSPORT: luxuary Corolla
Person :4
Stay:3 days 4 nights or less on your choice
Accomodation: Pearl Hotel Murree Mall Road 2 room 4 beding
RS:25,000
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FROM ANY LOCATION OF PAKISTAN to "HUNZA"
TRANSPORT: luxuary Corolla
Person :4
Stay:7 days 7nights or less on your choice
Accomodation: Pearl Hotel 2 room 4 beding
RS:50,000
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FROM ANY LOCATION OF PAKISTAN to "LAHORE"
TRANSPORT: luxuary Corolla
Person :4
Stay:3 days 4 nights or less on your choice
Accomodation: Pearl continental 2 room 4 beding
RS:40,000
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FROM ANY LOCATION OF PAKISTAN to "JHIKA gali"
TRANSPORT: luxuary Corolla
Person :4
Stay:3 days 4 nights or less on your choice
Accomodation: Hotel_IN 2 room 4 beding
RS:25,000
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FROM ANY LOCATION OF PAKISTAN to "HARNOW"
TRANSPORT: luxuary Corolla
Person :4
Stay:1 days 1nights or less on your choice
Accomodation: cottage 4 beding
RS:20,000
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FROM ANY LOCATION OF PAKISTAN to "kpk"
TRANSPORT: luxuary Corolla
Person :4 or more payment will increase
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Accomodation: Hotel Paradise_in ilaisi masjid Abbotabad 2 room 4 beding
RS:30,000
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FROM ANY LOCATION OF PAKISTAN to "Thnadayani"
TRANSPORT: luxuary Corolla
Person :4
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Accomodation: Pearl Hotel 2 room 4 beding
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FROM ANY LOCATION OF PAKISTAN to "MONAL"
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Accomodation: monal islamabad 2 room 4 beding
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FROM ANY LOCATION OF PAKISTAN to "BABUSAR TOP"
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Accomodation: Pearl_in 2 room 4 beding
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FROM ANY LOCATION OF PAKISTAN to "KULDANNA"
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FROM ANY LOCATION OF PAKISTAN to "jheel Saiful_maluk "
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The Haunting (1999) Thriller / Suspense / Horror Lili Taylor, Liam Neeson, Catherine Zeta-Jones, Owen Wilson Directed by Jan De Bont 1 hour, 52 minutes Rated PG-13 for profanity, a few violent scenes, mature themes, intense special effects, suggestive dialogue, scares Wide-screen aspect ratio: 2.35:1 Rating (0 - 100): _42_ *This review contains moderate to major spoilers for "The Haunting"
Some movies are born bad. This is one of them. "The Haunting" echoes with the mind-numbing stupidity of your average summer CGI-piloted flick, brimming with special effects in every nook and cranny, which do their fair share of overshadowing what's really important here: the story which it blatantly lacks. The premise is interesting: a psychologist lures three insomniacs into a deserted, sprawling mansion under the pretense of helping them achieve a good night's sleep. What he is really doing is setting them up for a bizarre experiment in the elements of fear, paranoia, and dread. Dr. Marrow (Liam Neeson, in a silly role that the screenwriter probably concocted while passing a kidney stone) comes upon Hill House, an immense, beautiful estate which sits nine miles from any civilization.
 The first to arrive at the spooky mansion is central character Nell (Lili Taylor, who absolutely shines), a fragile woman grieving over her mother's death. She meets the creepy caretakers and then meets Theo (Catherine Zeta-Jones), a bisexual tempest with a love for exotic fashion (she enters the film in knee-high Prada boots and in later scenes sports sensual evening wear and a fur coat). Then they both run into (literally) Luke (Owen Wilson of "Armageddon"), the film's most enjoyable yet wasted character who makes wisecracks and subtle advances at Theo, and is also the first of the three to figure out that Dr. Marrow has something up his sleeve.
I have to admit that I liked the way that the picture started out. The characters are interesting, if underdeveloped, and are played very well. Early jumpy moments provide oomph for the plot to get going, because it does take some time before the sleep-deprived trio begin wandering Hill House's halls and find things that go bump in the night.
But two girls, a guy, and a spooky place is all that it really becomes, when Nell digs into the house's sinister history and slowly becomes sucked into its dark past. Hill House, we learn, was built by a man named Crane, who operated mills and murdered children in his spare time (Nell finds bones beneath a fireplace as well as a list of the deceased in one of his old ledgers). From there, it goes downhill - fast. The others think that Nell is going nuts, which forces Dr. Marrow to reveal the true nature of his experiment. Gasp. That's what they try to make you do in "The Haunting," but all you do is laugh - at multiple unintentionally funny moments. The people in the row behind me cackled to themselves frequently, as did myself, as did many people in the theater. I wish I could go into these over-the-top moments, but I can only talk about movies this bad for so long. Ultimately, Nell thinks that the house "wants her" and that it is full of the lost souls of the murdered children put to work in Crane's mills. There are several mentions of purgatory (a state in which a soul exists in neither heaven nor hell) in the film, suggesting that this is where the souls of the children (as well as Crane himself) exist. Actually, they're in a really shitty script, but purgatory is fine too. The movie builds to such a laughably silly climax that you will suddenly find the texture of your shoelaces to be strangely interesting.
 Dr. Marrow and Theo (Luke was sadly decapitated in an earlier scene by a chimney flue) look on as her spirit exits her body and begins to the guide the spirits of the children, emerging from every corner of Hill House, and they all ascend to heaven. Thus, the film ends. The bottom line is that "The Haunting" is not a scary movie. Nevermind that it blows, it could at least pack a few frights, but I only jumped once. An interesting new face in the film is Lili Taylor, from "I Shot Andy Warhol" and "Ransom." She was also nominated for an Emmy in a guest role on an X-Files episode. She sloshes through flat dialogue (her final line in the film may go down as one of the worst uttered in film history), but she performs the character very well. I hope we will see more of her. The special effects are first-rate, but I think that in the case of this movie they are put to bad use. The sets of the film however, are jaw-dropping. If you are a fan of films that are interesting in concept but ludicrous in climax, containing good actors and abundant eye-candy, "The Haunting" may be worth a viewing. But don't get to immersed in it. You might never want to see a horror film again.
~Paul Dearing ICQ #1857079 AOL IM - pauld1121<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


{%- include header.html -%} Command Ping Tracert Mtr Nslookup Whois Curl default IPv4 IPv6 https http Run {%- include footer.html -%}


Chocolate and fig steamed pudding with chocolate sauce recipe
by Diana HenryA wonderfully decadent chocolate pudding made with cardamom, orange and boozy figs, with an unmissable chocolate sauce that is also delicious with other desserts.
Prep time: 25 minutes | Cooking time: 2 hours 5 minutes
SERVES
10
INGREDIENTS
- 175g dried figs, stalks snipped off
- 90ml port, marsala or madeira
- 175g butter, at room temperature, plus more for greasing
- 35g cocoa powder, plus more for dusting
- 150g plain flour
- ½ tsp bicarbonate of soda
- 2 tsp baking-powder
- Crushed seeds from 10 cardamom pods
- 190g soft dark-brown sugar
- 3 medium eggs, lightly beaten
- 75ml full-fat milk
- 50g ground walnuts
- Finely grated zest of ½ orange
- 75g dark chocolate (70 per cent cocoa solids), chopped into small pieces
- For the chocolate sauce
- 100g good-quality dark chocolate, broken into pieces
- 100g milk chocolate, broken into pieces
- 175ml double cream
- 4 tbsp golden syrup
- 3 tsp vanilla extract
METHOD
- Cut the figs in half and put them into a saucepan with the alcohol. Bring quickly to a boil, then simmer very gently for about a minute. Pull the pan off the heat and leave the figs sitting in the alcohol for about half an hour.
- Butter a 1.5 litre pudding basin and dust the inside with cocoa powder. Sift the 35g cocoa powder together with the flour, bicarbonate of soda and baking-powder. Add the crushed cardamom.
- Beat the butter and sugar together until light and fluffy, then gradually add the eggs, a little at a time, beating well after each addition. Fold in the sifted ingredients, alternating with the milk, followed by the walnuts, orange zest, chopped dark chocolate and figs (with any alcohol that hasn’t been absorbed). Scrape the batter into the prepared basin.
- Place a piece of greaseproof paper on top of a sheet of foil (both large enough to cover the top of the basin). Fold a pleat along the middle of them, then place paper-side-down on top of the pudding, with the pleat across the centre. Tie firmly in place with string, using the string to make a handle to lift the pudding.
- Trim the excess paper and foil to prevent it dipping into the water.
- Put the pudding into a large pan with a lid and pour in enough boiling water to come halfway up the side of the basin. Bring the water to a simmer, cover the pan and steam the pudding for two hours, making sure that the pan doesn’t boil dry.
- Put everything for the sauce into a heavy-bottomed pan and heat gently, stirring until the chocolate has melted and the sauce is warm. Leave it to cool a little.
- To turn the pudding out, run a knife between it and the basin. Set a serving plate on top of the pudding, invert, give it a bit of a shake and it should slide out. Pour some of the warm chocolate sauce over the top and offer the rest in a jug, with some crème fraîche on the side.


☰ About this Map
Albuquerque Parks & Trails
By Type/Use
- Aquatics Facility
- Fully-inclusive Playground
- Pocket Park
- Neighborhood Park
- Community Park
- Regional Park
- Open Space (closed)
- Open Space (facility)
- Open Space (hiking)
- Open Space (multi-use)
- Open Space (special use)
- Open Space (undeveloped)
- Open Space (closed)
- Paved Multiple Use Trail
- Unpaved Multiple Use Trail
- Hiking Trail
- Buffered Lane
- Bike Lane
- Bike Lane Shared with Cars
- Bike Boulevard
- Bicycle/Pedestrian Crossing
- NMDOT Bicycle Facility
Source: City of Albuquerque
Map design by CORE GIS


| Member database | Accession | Name | Proteins count | Integration | ||||
|---|---|---|---|---|---|---|---|---|

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will be saved as:

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Create a link to an external resource by writing the identifier of the resource, followed by a colon and the entry's accession, between square brackets, e.g. [pfam:PF00069]
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Comments


Our TPN could achieve 78.9%, 49.0% and 62.0% top-1 accuracy on the mainstream benchmarks of action recognition i.e., Kinetics-400, Something-Something V1 and V2 respectively, which basically outperforms other state-of-the-art methods. More detailed comparison and ablation studie are presented in our paper.
Per-class Performance Gain vs. Per-class Variance of Visual Tempos : Figure 4 indicates that the performance gain is clearly positively correlated with the variance of visual tempos. This study has strongly verified our motivation that TPN could bring a significant improvement for such actions with large variances of visual tempo.
Robustness of TPN to Visual Tempo Variation : Figure 5 suggests that TPN helps improve the robustness of I3D-50, resulting in a curve with moderater fluctuations. More discussion is presented in our experimental section.
@inproceedings{yang2020tpn, title = {Temporal Pyramid Network for Action Recognition}}, author = {Yang, Ceyuan and Xu, Yinghao and Shi, Jianping and Dai, Bo and Zhou, Bolei}, journal = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020} }


Data from U.S. Census Bureau American Community Survey estimates, compiled from surveys conducted between 2013 and 2017.


Bookings of Room
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in Hotel
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|
ActiveTcl User Guide
|
||
Tcl_GetHostName - get the name of the local host
#include <tcl.h>
CONST char *
Tcl_GetHostName()
Tcl_GetHostName is a utility procedure used by some of the Tcl commands. It returns a pointer to a string containing the name for the current machine, or an empty string if the name cannot be determined. The string is statically allocated, and the caller must not modify of free it.
Copyright © 1998-2000 by Scriptics Corporation. Copyright © 1995-1997 Roger E. Critchlow Jr.


Referencing a Managed Bean Method
A component tag has a set of attributes for referencing managed bean methods that can perform certain functions for the component associated with the tag. These attributes are summarized in Table 8-5.
Attribute |
Function |
|---|---|
Refers to a managed bean method that performs navigation processing for the component and returns a logical outcome String |
|
Refers to a managed bean method that handles action events |
|
Refers to a managed bean method that performs validation on the component’s value |
|
Refers to a managed bean method that handles value-change events |
Only components that implement ActionSource can use the action and actionListener attributes. Only components that implement EditableValueHolder can use the validator or valueChangeListener attributes.
The component tag refers to a managed bean method using a method expression as a value of one of the attributes. The method referenced by an attribute must follow a particular signature, which is defined by the tag attribute’s definition in the documentation at http://docs.oracle.com/javaee/6/javaserverfaces/2.1/docs/vdldocs/facelets/. For example, the definition of the validator attribute of the inputText tag is the following:
void validate(javax.faces.context.FacesContext, javax.faces.component.UIComponent, java.lang.Object)
The following sections give examples of how to use the attributes.
Referencing a Method That Performs Navigation
If your page includes a component, such as a button or a hyperlink, that causes the application to navigate to another page when the component is activated, the tag corresponding to this component must include an action attribute. This attribute does one of the following:
Specifies a logical outcome String that tells the application which page to access next
References a managed bean method that performs some processing and returns a logical outcome String
The following example shows how to reference a navigation method:
<h:commandButton value="#{bundle.Submit}" action="#{cashier.submit}" />
See Writing a Method to Handle Navigation for information on how to write such a method.
Referencing a Method That Handles an Action Event
If a component on your page generates an action event, and if that event is handled by a managed bean method, you refer to the method by using the component’s actionListener attribute.
The following example shows how such a method could be referenced:
<h:commandLink id="Duke" action="bookstore" actionListener="#{actionBean.chooseBookFromLink}">
The actionListener attribute of this component tag references the chooseBookFromLink method using a method expression. The chooseBookFromLink method handles the event when the user clicks the hyperlink rendered by this component. See Writing a Method to Handle an Action Event for information on how to write such a method.
Referencing a Method That Performs Validation
If the input of one of the components on your page is validated by a managed bean method, refer to the method from the component’s tag by using the validator attribute.
The following example from The guessnumber CDI Example shows how to reference a method that performs validation on inputGuess, an input component:
<h:inputText id="inputGuess" value="#{userNumberBean.userNumber}" required="true" size="3" disabled="#{userNumberBean.number eq userNumberBean.userNumber}" validator="#{userNumberBean.validateNumberRange}"> </h:inputText>
The managed bean method validateNumberRange verifies that the input value is within the valid range, which changes each time another guess is made. See Writing a Method to Perform Validation for information on how to write such a method.
Referencing a Method That Handles a Value-Change Event
If you want a component on your page to generate a value-change event and you want that event to be handled by a managed bean method instead of a ValueChangeListener implementation, you refer to the method by using the component’s valueChangeListener attribute:
<h:inputText id="name" size="30" value="#{cashier.name}" required="true" valueChangeListener="#{cashier.processValueChange}" /> </h:inputText>
The valueChangeListener attribute of this component tag references the processValueChange method of CashierBean by using a method expression. The processValueChange method handles the event of a user entering a name in the input field rendered by this component.
Writing a Method to Handle a Value-Change Event describes how to implement a method that handles a ValueChangeEvent.


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Files CCore/inc/Task.h CCore/src/Task.cpp
Subfolders CCore/inc/task CCore/src/task
Tasks and synchronization objects are the heart of any real-time system platform. The word "task" is used by tradition instead of thread. A typical embedded application may be regarded as a multi-threaded process, running in a single memory space. It has the direct access to all hardware features. The functionality of the application is implemented in a series of tasks. The board starts after reset, performs a core initialization and runs the main task. At start you need a working RAM, CPU, timers, interrupt controller, serial port and may be some extra peripherals. Main task performs additional working hardware initialization, prepares and runs tasks. There is a special "interrupt context", this execution context is used to handle hardware interrupts. All actions in this context are limited: they must be "quick", in particular, it is forbidden to use any "blocking" calls. XCore does not support nested interrupts, so the interrupt context is multi-task safe.
In XCore the entry point to the main task is the usual function main(). Global objects are constructed before the main() and destructed after. During this phase interrupts are disabled and the running extra tasks is not permitted. When main() is finished, the main task is blocked until all extra tasks are completed and then global objects are destroyed.
The header Task.h includes all task related entities. XCore variants of the same classes have extra features than HCore.
To run a task the class Task is used.
The class Task is polymorphic, with a virtual destructor and derived from the MemBase_nocopy. A task object must not be destroyed until the associated thread of execution is running.
There are two virtual methods of this class to be overloaded in a derived class: entry() and exit(). The first implements a task functionality. The second is called to complete the task execution. You may assume the task is logically finished when this method is called.
class Task : public MemBase_nocopy
{
....
private:
virtual void entry();
virtual void exit();
public:
Task();
virtual ~Task();
bool run_or_exit();
// task control
static void Yield() { Sys::YieldTask(); }
static void Sleep(MSec time) { Sys::SleepTask(time); }
static Task * GetCurrent();
};
run_or_exit() performs "run or exit" operation. I.e. it tries to start a task. If the task is started, true is returned. Otherwise, the method exit() is called and false is returned. You cannot run the same task twice. So exit() is called either way: as the part of the run_or_exit() call or after the task is finished. This method can be used to destroy a dynamically allocated task object, to signal about task completion or to do another completion quick job.
Yield() rolls the CPU to another running task, if any.
Sleep() sleeps the current task for the given period of time in milliseconds.
GetCurrent() returns the current running task object. If the current thread was not spawned from the Task class, the return value is null.
XCore Task class is similar to HCore, but has some extra features.
class Task : public MemBase_nocopy
{
....
private:
virtual void entry();
virtual void exit();
public:
explicit Task(TaskPriority priority=DefaultTaskPriority,
ulen stack_len=DefaultStackLen);
explicit Task(TextLabel name,
TaskPriority priority=DefaultTaskPriority,
ulen stack_len=DefaultStackLen);
virtual ~Task();
TextLabel getName() const;
TaskPriority getPriority() const;
bool run_or_exit();
// task control
static void Yield();
static void Sleep(MSec time);
static void RelaxPriority(unsigned period_tick,TaskPriority priority=IdleTaskPriority);
static Task * GetCurrent() { return Current; }
};
XCore Task constructors have additional task parameters. Task can be explicitly named. If the name is not provided, some auto-generated name is used. This name is used in the system logging and the event recording. The TaskPriority value is assigned to the task. Task priorities determine tasks run sequence: a task with higher priority preempts an execution of tasks with lower priorities. The task priority cannot be changed, but can be temporary raised automatically by synchronization objects. Finally, the task stack_len can be specified. The minimum and the default task stack length are defined by the target.
enum TaskPriority : unsigned
{
ExitTaskPriority = 0, // highest
CompleteTaskPriority = 1,
DefaultTaskPriority = 10000, // default
MainTaskPriority = DefaultTaskPriority,
IdleTaskPriority = MaxUInt<unsigned> // lowest
};
inline bool Preempt(TaskPriority a,TaskPriority b) { return a<b; }
PrintTaskPriority GetTextDesc(TaskPriority priority);
Task priority counts down: the less value means the higher priority. There are three special tasks in the system: Exit Task, Complete Task and Idle Task.
Idle Task runs while other tasks are blocked. It has the lowest priority.
Exit Task is used to call the method exit(). This task can safely destroy another task object. Exit Task has the highest priority.
Complete Task can be used for the packet completion. It has the next highest priority after the Exit Task. Normally packets are completed by processing tasks, but in some cases it should be completed in the interrupt context. This is not possible, so the special task is provided for such packet completion.
It is not recommended to run a task with one of the special task priorities.
XCore performs tick task switch. The internal system tick is driven by a timer interrupt. This tick runs on a high frequency (like 10 kHz). Tick switches ready-to-run tasks and performs timed jobs, like timeout processing. Without the task priority relaxation only a task with the highest priority gains CPU time. If there are several such tasks they are switched in a round-robin order.
The static method Task::RelaxPriority() enables the task priority relaxation. It means that during some ticks task priorities are ignored. The period_tick determines the period of the relaxed ticks. The value 0 means the task priority relaxation is disabled. The value 1 means that all ticks are relaxed. The value 2 means that each second tick is relaxed, and so on. The argument priority determines the cut of priority for the task relaxation. If the task has this priority or less, it does not participate in the relaxation. For example, the Idle Task never gains CPU because of the task priority relaxation.


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Lock-freedom without garbage collection
TL;DR
It’s widespread folklore that one advantage of garbage collection is the ease of building high-performance lock-free data structures. Manual memory management for these data structures is not easy, and a GC makes it trivial.
This post shows that, using Rust, it’s possible to build a memory management API for concurrent data structures that:
- Makes it as easy to implement lock-free data structures as a GC does;
- Statically safeguards against misuse of the memory management scheme;
- Has overhead competitive with (and more predictable than) GC.
In the benchmarks I show below, Rust is able to easily beat a Java lock-free queue implementation, with an implementation that’s as easy to write.
I’ve implemented “epoch-based memory reclamation” in a new library called Crossbeam, which is ready to use in for your own data structures today. This post covers some background on lock-free data structures, the epoch algorithm, and the entire Rust API.
Contents
Benchmarks
Before looking in depth at the API design and usage for epoch reclamation, let’s cut right to the chase: performance.
To test the overhead my Crossbeam implementation relative to a full GC, I implemented a basic lock-free queue (a vanilla Michael-Scott queue) on top of it, and built the same queue in Scala. In general, JVM-based languages are a good test case for the “good GC” path toward lock-free data structures.
In addition to these implementations, I compared against:
A more efficient “segmented” queue that allocates nodes with multiple slots. I wrote this queue in Rust, on top of Crossbeam.
A Rust single-threaded queue protected by a mutex.
The java.util.concurrent queue implementation (ConcurrentLinkedQueue), which is a tuned variant of the Michael-Scott queue.
I tested these queues in two ways:
A multi-producer, single-consumer (MPSC) scenario in which two threads repeatedly send messages and one thread receives them, both in a tight loop.
A multi-producer, multi-consumer (MPMC) scenario in which two threads send and two thread receive in a tight loop.
Benchmarks like these are fairly typical for measuring the scalability of a lock-free data structure under “contention” – multiple threads competing to make concurrent updates simultaenously. There are many variations that should be benchmarked when building a production queue implementation; the goal here is just to gauge the ballpark overhead of the memory management scheme.
For the MPSC test, I also compared against the algorithm used in Rust’s built-in channels, which is optimized for this scenario (and hence doesn’t support MPMC).
The machine is a 4 core 2.6Ghz Intel Core i7 with 16GB RAM.
Here are the results, given in nanosecond per message (lower is better):
Analysis
The main takeaway is that the Crossbeam implementation – which has not been tuned – is competitive in all cases. It’s possible to do better on both the Rust and JVM sides by using more clever or specialized queues, but these results show at least that the overhead of epochs is reasonable.
Notice that the Java/Scala versions fare much better in the MPMC test than they do in MPSC test. Why is that?
 In the MPSC test, the producers tend to overrun the consumer over time, meaning that the amount of data in the queue slowly grows. That in turn increases the cost of each garbage collection, which involves walking over the live data set.
In the epoch scheme, by contrast, the cost of managing garbage is relatively fixed: it’s proportional to the number of threads, not the amount of live data. This turns out to yield both better and more consistent/predictable performance.
Finally, one comparison I did not include on the chart (because it would dwarf
the others) was using a Mutex
around a deque in Rust. For the MPMC test,
performance was around 3040ns/operation, over 20x slower than the Crossbeam
implementation. This is a vivid demonstration of why lock-free data structure
are important – so let’s start by diving into what those are.
Lock-free data structures
When you want to use (and mutate) a data structure from many concurrent threads,
you need synchronization. The simplest solution is a global lock – in Rust,
wrapping the entire data structure in
a Mutex
and
calling it a day.
Problem is, that kind of “coarse-grained” synchronization means that multiple threads always need to coordinate when accessing a data structure, even if they were accessing disjoint pieces of it. It also means that even when a thread is only trying to read, it must write, by updating the lock state – and since the lock is a global point of communication, these writes lead to a large amount of cache invalidation traffic. Even if you use a lot of locks at a finer grain, there are other hazards like deadlock and priority inversion, and you often still leave performance on the table.
A more radical alternative is lock-free data structures, which use atomic operations to make direct changes to the data structure without further synchronization. They are often faster, more scalable, and more robust than lock-based designs.
I won’t try to give a full tutorial to lock-free programming in this post, but a key point is that, if you don’t have global synchronization, it’s very difficult to tell when you can free memory. Many published algorithms basically assume a garbage collector or some other means of reclaiming memory. So before lock-free concurrency can really take off in Rust, we need a story for memory reclamation – and that’s what this blog post is all about.
Treiber’s stack
To make things more concrete, let’s look at the “Hello world” of lock-free data
structures: Treiber’s stack. The stack is represented as a singly-linked list,
with all modifications happening on the head
pointer:
#![feature(box_raw)]
use std::ptr::{self, null_mut};
use std::sync::atomic::AtomicPtr;
use std::sync::atomic::Ordering::{Relaxed, Release, Acquire};
pub struct Stack<T> {
head: AtomicPtr<Node<T>>,
}
struct Node<T> {
data: T,
next: *mut Node<T>,
}
impl<T> Stack<T> {
pub fn new() -> Stack<T> {
Stack {
head: AtomicPtr::new(null_mut()),
}
}
}
It’s easiest to start with popping. To pop, you just loop, taking a snapshot of
the head
and doing a compare-and-swap replacing the snapshot with its next
pointer:
Note that
compare_and_swap
atomically changes the value of anAtomicPtr
from an old value to a new value, if the old value matched. Also, for this post you can safely ignore theAcquire
,Release
andRelaxed
labels if you’re not familiar with them.
impl<T> Stack<T> {
pub fn pop(&self) -> Option<T> {
loop {
// take a snapshot
let head = self.head.load(Acquire);
// we observed the stack empty
if head == null_mut() {
return None
} else {
let next = unsafe { (*head).next };
// if snapshot is still good, update from `head` to `next`
if self.head.compare_and_swap(head, next, Release) == head {
// extract out the data from the now-unlinked node
// **NOTE**: leaks the node!
return Some(unsafe { ptr::read(&(*head).data) })
}
}
}
}
}
The ptr::read
function is Rust’s way of extracting ownership of data without
static or dynamic tracking. Here we are using the atomicity of
compare_and_swap
to guarantee that only one thread will call ptr::read
–
and as we’ll see, this implementation never frees Node
s, so the destructor on
data
is never invoked. Those two facts together make our use of ptr::read
safe.
Pushing is similar:
impl<T> Stack<T> {
pub fn push(&self, t: T) {
// allocate the node, and immediately turn it into a *mut pointer
let n = Box::into_raw(Box::new(Node {
data: t,
next: null_mut(),
}));
loop {
// snapshot current head
let head = self.head.load(Relaxed);
// update `next` pointer with snapshot
unsafe { (*n).next = head; }
// if snapshot is still good, link in new node
if self.head.compare_and_swap(head, n, Release) == head {
break
}
}
}
}
The problem
If we had coded the above in a language with a GC, we’d be done. But as written
in Rust, it leaks memory. In particular, the pop
implementation doesn’t
attempt to free the node pointer after it has removed it from the stack.
What would go wrong if we did just that?
// extract out the data from the now-unlinked node
let ret = Some(unsafe { ptr::read(&(*head).data) });
// free the node
mem::drop(Box::from_raw(head));
return ret
The problem is that other threads could also be running pop
at the same
time. Those threads could have a snapshot of the current head; nothing would
prevent them from reading (*head).next
on that snapshot just after we
deallocate the node they’re pointing to – a use-after-free bug in the making!
So that’s the crux. We want to use lock-free algorithms, but many follow a similar pattern to the stack above, leaving us with no clear point where it’s safe to deallocate a node. What now?
Epoch-based reclamation
There are a few non-GC-based ways of managing memory for lock-free code, but they all come down to the same core observations:
There are two sources of reachability at play – the data structure, and the snapshots in threads accessing it. Before we delete a node, we need to know that it cannot be reached in either of these ways.
Once a node has been unlinked from the data structure, no new snapshots reaching it will be created.
One of the most elegant and promising reclamation schemes is Keir Fraser’s epoch-based reclamation, which was described in very loose terms in his PhD thesis.
The basic idea is to stash away nodes that have been unlinked from the data structure (the first source of reachability) until they can be safely deleted. Before we can delete a stashed node, we need to know that all threads that were accessing the data structure at the time have finished the operation they were performing. By observation 2 above, that will imply that there are no longer any snapshots left (since no new ones could have been created in the meantime). The hard part is doing all of this without much synchronization. Otherwise, we lose the benefit that lock-freedom was supposed to bring in the first place!
The epoch scheme works by having:
- A global epoch counter (taking on values 0, 1, and 2);
- A global list of garbage for each epoch;
- An “active” flag for each thread;
- An epoch counter for each thread.
The epochs are used to discover when garbage can safely be freed, because no thread can reach it. Unlike traditional GC, this does not require walking through live data; it’s purely a matter of checking epoch counts.
When a thread wants to perform an operation on the data structure, it first sets its “active” flag, and then updates its local epoch to match the global one. If the thread removes a node from the data structure, it adds that node to the garbage list for the current global epoch. (Note: it’s very important that the garbage go into the current global epoch, not the previous local snapshot.) When it completes its operation, it clears the “active” flag.
To try to collect the garbage (which can be done at any point), a thread walks over the flags for all participating threads, and checks whether all active threads are in the current epoch. If so, it can attempt to increment the global epoch (modulo 3). If the increment succeeds, the garbage from two epochs ago can be freed.
Why do we need three epochs? Because “garbage collection” is done concurrently, it’s possible for threads to be in one of two epochs at any time (the “old” one, and the “new” one). But because we check that all active threads are in the old epoch before incrementing it, we are guaranteed that no active threads are in the third epoch.
This scheme is carefully designed so that most of the time, threads touch data that is already in cache or is (usually) thread-local. Only doing “GC” involves changing the global epoch or reading the epochs of other threads. The epoch approach is also algorithm-agnostic, easy to use, and its performance is competitive with other approaches.
It also turns out to be a great match for Rust’s ownership system.
The Rust API
We want the Rust API to reflect the basic principles of epoch-based reclamation:
When operating on a shared data structure, a thread must always be in its “active” state.
When a thread is active, all data read out of the data structure will remain allocated until the thread becomes inactive.
We’ll leverage Rust’s ownership system – in particular, ownership-based resource management (aka RAII) – to capture these constraints directly in the type signatures of an epoch API. This will in turn help ensure we use epoch management correctly.
Guard
To operate on a lock-free data structure, you first acquire a guard, which is an owned value that represents your thread being active:
pub struct Guard { ... }
pub fn pin() -> Guard;
The pin
function marks the thread as active, loads the global epoch, and may
try to perform GC (detailed a bit later in the post). The destructor for
Guard
, on the other hand, exits epoch management by marking the thread
inactive.
Since the Guard
represents “being active”, a borrow &'a Guard
guarantees
that the thread is active for the entire lifetime 'a
– exactly what we need
to bound the lifetime of the snapshots taken in a lock-free algorithm.
To put the Guard
to use, Crossbeam provides a set of three pointer types meant to work together:
Owned<T>
, akin toBox<T>
, which points to uniquely-owned data that has not yet been published in a concurrent data structure.Shared<'a, T>
, akin to&'a T
, which points to shared data that may or may not be reachable from a data structure, but it guaranteed not to be freed during lifetime'a
.Atomic<T>
, akin tostd::sync::atomic::AtomicPtr
, which provides atomic updates to a pointer using theOwned
andShared
types, and connects them to aGuard
.
We’ll look at each of these in turn.
Owned
and Shared
pointers
The Owned
pointer has an interface nearly identical to Box
:
pub struct Owned<T> { ... }
impl<T> Owned<T> {
pub fn new(t: T) -> Owned<T>;
}
impl<T> Deref for Owned<T> {
type Target = T;
...
}
impl<T> DerefMut for Owned<T> { ... }
The Shared<'a, T>
pointer is similar to &'a T
– it is Copy
– but it
dereferences to a &'a T
. This is a somewhat hacky way of conveying that the
lifetime of the pointer it provides is in fact 'a
.
pub struct Shared<'a, T: 'a> { ... }
impl<'a, T> Copy for Shared<'a, T> { ... }
impl<'a, T> Clone for Shared<'a, T> { ... }
impl<'a, T> Deref for Shared<'a, T> {
type Target = &'a T;
...
}
Unlike Owned
, there is no way to create a Shared
pointer directly. Instead,
Shared
pointers are acquired by reading from an Atomic
, as we’ll see
next.
Atomic
The heart of the library is Atomic
, which provides atomic access to a
(nullable) pointer, and connects all the other types of the library together:
pub struct Atomic<T> { ... }
impl<T> Atomic<T> {
/// Create a new, null atomic pointer.
pub fn null() -> Atomic<T>;
}
We’ll look at operations one at a time, since the signatures are somewhat subtle.
Loading
First, loading from an Atomic
:
impl<T> Atomic<T> {
pub fn load<'a>(&self, ord: Ordering, _: &'a Guard) -> Option<Shared<'a, T>>;
}
In order to perform the load, we must pass in a borrow of a Guard
. As
explained above, this is a way of guaranteeing that the thread is active for the
entire lifetime 'a
. In return, you get an optional Shared
pointer back
(None
if the Atomic
is currently null), with lifetime tied to the guard.
It’s interesting to compare this to the standard library’s AtomicPtr
interface, where load
returns a *mut T
. Due to the use of epochs, we’re able
to guarantee safe dereferencing of the pointer within 'a
, whereas with
AtomicPtr
all bets are off.
Storing
Storing is a bit more complicated because of the multiple pointer types in play.
If we simply want to write an Owned
pointer or a null value, we do not even
need the thread to be active. We are just transferring ownership into the data
structure, and don’t need any assurance about the lifetimes of pointers:
impl<T> Atomic<T> {
pub fn store(&self, val: Option<Owned<T>>, ord: Ordering);
}
Sometimes, though, we want to transfer ownership into the data structure and immediately acquire a shared pointer to the transferred data – for example, because we want to add additional links to the same node in the data structure. In that case, we’ll need to tie the lifetime to a guard:
impl<T> Atomic<T> {
pub fn store_and_ref<'a>(&self,
val: Owned<T>,
ord: Ordering,
_: &'a Guard)
-> Shared<'a, T>;
}
Note that the runtime representation of val
and the return value is exactly
the same – we’re passing a pointer in, and getting the same pointer out. But
the ownership situation from Rust’s perspective changes radically in this step.
Finally, we can store a shared pointer back into the data structure:
impl<T> Atomic<T> {
pub fn store_shared(&self, val: Option<Shared<T>>, ord: Ordering);
}
This operation does not require a guard, because we’re not learning any new information about the lifetime of a pointer.
CAS
Next we have a similar family of compare-and-set operations. The simplest case
is swapping a Shared
pointer with a fresh Owned
one:
impl<T> Atomic<T> {
pub fn cas(&self,
old: Option<Shared<T>>,
new: Option<Owned<T>>,
ord: Ordering)
-> Result<(), Option<Owned<T>>>;
}
As with store
, this operation does not require a guard; it produces no new
lifetime information. The Result
indicates whether the CAS succeeded; if not,
ownership of the new
pointer is returned to the caller.
We then have an analog to store_and_ref
:
impl<T> Atomic<T> {
pub fn cas_and_ref<'a>(&self,
old: Option<Shared<T>>,
new: Owned<T>,
ord: Ordering,
_: &'a Guard)
-> Result<Shared<'a, T>, Owned<T>>;
In this case, on a successful CAS we acquire a Shared
pointer to the data we
inserted.
Finally, we can replace one Shared
pointer with another:
impl<T> Atomic<T> {
pub fn cas_shared(&self,
old: Option<Shared<T>>,
new: Option<Shared<T>>,
ord: Ordering)
-> bool;
}
The boolean return value is true
when the CAS is successful.
Freeing memory
Of course, all of the above machinery is in service of the ultimate goal:
actually freeing memory that is no longer reachable. When a node has been
de-linked from the data structure, the thread that delinked it can inform its
Guard
that the memory should be reclaimed:
impl Guard {
pub unsafe fn unlinked<T>(&self, val: Shared<T>);
}
This operation adds the Shared
pointer to the appropriate garbage list,
allowing it to be freed two epochs later.
The operation is unsafe because it is asserting that:
- the
Shared
pointer is not reachable from the data structure, - no other thread will call
unlinked
on it.
Crucially, though, other threads may continue to reference this Shared
pointer; the epoch system will ensure that no threads are doing so by the time
the pointer is actually freed.
There is no particular connection between the lifetime of the Shared
pointer
here and the Guard
; if we have a reachable Shared
pointer, we know that the
guard it came from is active.
Treiber’s stack on epochs
Without further ado, here is the code for Treiber’s stack using the Crossbeam epoch API:
use std::sync::atomic::Ordering::{Acquire, Release, Relaxed};
use std::ptr;
use crossbeam::mem::epoch::{self, Atomic, Owned};
pub struct TreiberStack<T> {
head: Atomic<Node<T>>,
}
struct Node<T> {
data: T,
next: Atomic<Node<T>>,
}
impl<T> TreiberStack<T> {
pub fn new() -> TreiberStack<T> {
TreiberStack {
head: Atomic::new()
}
}
pub fn push(&self, t: T) {
// allocate the node via Owned
let mut n = Owned::new(Node {
data: t,
next: Atomic::new(),
});
// become active
let guard = epoch::pin();
loop {
// snapshot current head
let head = self.head.load(Relaxed, &guard);
// update `next` pointer with snapshot
n.next.store_shared(head, Relaxed);
// if snapshot is still good, link in the new node
match self.head.cas_and_ref(head, n, Release, &guard) {
Ok(_) => return,
Err(owned) => n = owned,
}
}
}
pub fn pop(&self) -> Option<T> {
// become active
let guard = epoch::pin();
loop {
// take a snapshot
match self.head.load(Acquire, &guard) {
// the stack is non-empty
Some(head) => {
// read through the snapshot, *safely*!
let next = head.next.load(Relaxed, &guard);
// if snapshot is still good, update from `head` to `next`
if self.head.cas_shared(Some(head), next, Release) {
unsafe {
// mark the node as unlinked
guard.unlinked(head);
// extract out the data from the now-unlinked node
return Some(ptr::read(&(*head).data))
}
}
}
// we observed the stack empty
None => return None
}
}
}
}
Some obserations:
The basic logic of the algorithm is identical to the version that relies on a GC, except that we explicitly flag the popped node as “unlinked”. In general, it’s possible to take lock-free algorithms “off the shelf” (the ones on the shelf generally assume a GC) and code them up directly against Crossbeam in this way.
After we take a snapshot, we can dereference it without using
unsafe
, because theguard
guarantees its liveness.The use of
ptr::read
here is justified by our use of compare-and-swap to ensure that only one thread calls it, and the fact that the epoch reclamation scheme does not run destructors, but merely deallocates memory.
The last point about deallocation deserves a bit more comment, so let’s wrap up the API description by talking about garbage.
Managing garbage
The design in Crossbeam treats epoch management as a service shared by all data structures: there is a single static for global epoch state, and a single thread-local for the per-thread state. This makes the epoch API very simple to use, since there’s no per-data structure setup. It also means the (rather trivial) space usage is tied to the number of threads using epochs, not the number of data structures.
One difference in Crossbeam’s implementation from the existing literature on epochs is that each thread keeps local garbage lists. That is, when a thread marks a node as “unlinked” that node is added to some thread-local data, rather than immediately to a global garbage list (which would require additional synchronization).
Each time you call epoch::pin()
, the current thread will check whether its
local garbage has surpassed a collection threshold, and if so, it will attempt a
collection. Likewise, whenever you call epoch::pin()
, if the global epoch has
advanced past the previous snapshot, the current thread can collect some of its
garbage. Besides avoiding global synchronization around the garbage lists, this
new scheme spreads out the work of actually freeing memory among all the threads
accessing a data structure.
Because GC can only occur if all active threads are on the current epoch, it’s not always possible to collect. But in practice, the garbage on a given thread rarely exceeds the threshold.
There’s one catch, though: because GC can fail, if a thread is exiting, it needs to do something with its garbage.  These global garbage lists are collected by the thread that successfully increments the global epoch.
Finally, what does it mean to “collect” the garbage? As mentioned above, the library only deallocates the memory; it does not run destructors.
Conceptually, the framework splits up the destruction of an object into two
pieces: destroying/moving out interior data, and deallocating the object
containing it. The former should happen at the same time as invoking unlinked
– that’s the point where there is a unique thread that owns the object in every
sense except the ability to actually deallocate it. The latter happens at some
unknown later point, when the object is known to no longer be referenced. This
does impose an obligation on the user: access through a snapshot should only
read data that will be valid until deallocation. But this is basically always
the case for lock-free data structures, which tend to have a clear split between
data relevant to the container (i.e., Atomic
fields), and the actual data
contained (like the data
field in Node
).
Splitting up the tear down of an object this way means that destructors run
synchronously, at predictable times, alleviating one of the pain points of GC,
and allowing the framework to be used with non-'static
(and non-Send
) data.
The road ahead
Crossbeam is still in its infancy. The work here is laying the foundation for exploring a wide range of lock-free data structures in Rust, and I hope for Crossbeam to eventually play a role similar to java.util.concurrent for Rust – including a lock-free hashmap, work-stealing deques, and lightweight task engine. If you’re interested in this work, I’d love to have help!


Note: the default behaviour and styling of the stock chart might change in the near future as work is still being done to enhance it. More details can be found on this issue in the Github repository.
The stock chart visualizes the price of a security over time where time is along the x-axis and the price is on the y-axis.
The
kirby-stock-chart
element shares a lot of its API with the
kirby-chart
element. For more info and examples see:
the chart showcase
.
The labels of the x-axis show the day and month of the datapoints. If you need a different increment, ie. hours or years you should provide your own labels through the `labels` property.
Please note that this chart only accepts data where each datapoint consists of a value for both x and y.
{{ '{' }} x:<PHONE_NUMBER>, // Time as epoch timestamp y: 10 // Value at time 'x' {{ '}' }}
It is possible to show and compare the price of multiple securities in one chart. The
ChartDataLabelOptions
property
valueSuffix
can be useful if for example data comes in percent. By setting
valueSuffix
to the string
'%'
values in the data labels will be suffixed with '%' as can be seen on the below example.


LIMBO A film review by Christopher Null Copyright 1999 Christopher Null filmcritic.com
Hurt. Used. Betrayed. Angry. Abused.
These are words that could be used to describe the emotions of John Sayles' characters in his latest, LIMBO. But no, I use them to describe myself after sitting through his latest little exercise in indie egomania.
I can forgive many things. But using some hackneyed, whacked-out, screwed-up *non*-ending on a movie is unforgivable. I walked a half-mile in the rain and sat through two hours of typical, plodding Sayles melodrama to get cheated by a complete and total copout finale. Does Sayles think he's Roger Corman?
Maybe he does. Maybe the auteur has lost his mind at last.
 These deadbeats include David Strathairn as Joe Gastineau, a washed-up fisherman, Mary Elizabeth Mastrantonio as Donna, a washed-up singer, and Vanessa Martinez as Noelle, her freakish daughter.
LIMBO begins as light comedy, with these characters lightheartedly interacting, and Joe and Donna slowly getting together as a couple.
The movie then becomes THE EDGE by way of THE PIANO. As the trio tries to survive on nothing, we learn of this little issue of some men who may be looking for them. By the end, we've finally started to care (barely) about these characters, but only after 120 minutes of babbling and preaching. The moment of truth arrives. Roll credits.
Whoops. I'd give away the ending but I *can't.* There is nothing to give away because there is no ending. Ho ho, you're supposed to reflect on the movie and draw your own conclusions. We're left in `Limbo,' get it? Screw that!  People deserve a little payoff after spending their cash and their time on a film. Our crowd would agree. I've never heard such booing in a theater in all my life.
I was going to give LIMBO three stars. Even though it has fifteen minutes of a character reading aloud from a book. Even though my butt hurt like a nail went through it after sitting in an uncomfortable seat for so long. Like I said, I was going to give LIMBO three stars for giving it the old college try.
Surprise, John, this is what you get:
RATING: * [LOWEST RATING]
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
MPAA Rating: R
Director: John Sayles Producer: Maggie Renzi Writer: John Sayles Starring: David Strathairn, Mary Elizabeth Mastrantonio, Vanessa Martinez
No web site
Christopher Null -<EMAIL_ADDRESS>- http://www.filmcritic.com Author - Network Administrator's Reference, 1999, ISBN 0-07-882588-1 http://www.amazon.com/exec/obidos/ASIN/0078825881/filmcriticcom
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Overview
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save(String, Serializable)
- Static method in class utils.
SerializeObject
Save the specified object.
saveNeuralNetwork()
- Method in class stockIndex.
StockIndexPrediction
SerializeObject
- Class in
utils
SerializeObject: Load or save an object using Java serialization.
SerializeObject()
- Constructor for class utils.
SerializeObject
setActivationOutput(double)
- Method in class neuron.
Neuron
setActivationOutputSum(double)
- Method in class neuron.
Neuron
setActualDataInput(double[])
- Method in class supervisedLearning.
BackPropagationNetwork
setActualDataReturn(double[])
- Method in class supervisedLearning.
BackPropagationNetwork
setAmount(double)
- Method in class stockIndex.
FinancialSample
setBestErrorRate(double)
- Method in class supervisedLearning.
BackPropagationNetwork
setBestNeurons()
- Method in class supervisedLearning.
BackPropagationNetwork
setBestSet(Vector<Neuron>)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setC(Connection)
- Method in class neuron.
Neuron
setCList2(Connection[])
- Method in class neuron.
Neuron
setCounter(int)
- Static method in class neuron.
Neuron
setCurrentTemp(double)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setCycles(int)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setDate(Date)
- Method in class stockIndex.
FinancialSample
setDefaultLearningRate()
- Method in class supervisedLearning.
BackPropagationNetwork
setDefaultMomentum()
- Method in class supervisedLearning.
BackPropagationNetwork
setDelta(double)
- Method in class neuron.
Connection
setDescription(String)
- Method in class activationFunction.
BasicActivationFunction
Ignore the description, it is not used for activation functions.
setEffectiveDate(Date)
- Method in class stockIndex.
InterestRate
setEpoch(int)
- Method in class supervisedLearning.
BackPropagationNetwork
setError(double)
- Method in class neuron.
Connection
setError(double)
- Method in class neuron.
Neuron
setError(double)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setError(Neuron)
- Method in class supervisedLearning.
BackPropagationNetwork
setFrom(int)
- Method in class neuron.
Connection
setHiddenError(Connection, Neuron)
- Method in class supervisedLearning.
BackPropagationNetwork
Sets the hidden layer Delta value combined with the activation output multiplication of the upper layer
The calculation: Delta: sum of all weights to conenction between hidden and output neurons * derivate of summed input to neuron
weight sum: previous layer neurons activation output (in feedforward) * (-delta)
setId(int)
- Method in class neuron.
Neuron
setInput(double)
- Method in class neuron.
Connection
setInput(double)
- Method in class neuron.
Neuron
setInputLocation(int)
- Method in class supervisedLearning.
BackPropagationNetwork
setLayer(int)
- Method in class neuron.
Neuron
setLRate(double)
- Method in class supervisedLearning.
BackPropagationNetwork
setMomentum(double)
- Method in class supervisedLearning.
BackPropagationNetwork
setName(String)
- Method in class activationFunction.
BasicActivationFunction
Ignore the name, it is not used for activation functions.
setNetwork(BackPropagationNetwork)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setNeurons(Vector<Neuron>)
- Method in class supervisedLearning.
BackPropagationNetwork
setOutput(double)
- Method in class neuron.
Connection
setOutputError(Connection, Neuron)
- Method in class supervisedLearning.
BackPropagationNetwork
Sets the output layer error and stores a reference to upperDelta Hashtable for further calculations Sums the error data for the output layer connections.
setOutputMap(Map[])
- Method in class neuron.
Neuron
setOutputSize(int)
- Method in class supervisedLearning.
BackPropagationNetwork
setOutputsTo(int)
- Method in class neuron.
Connection
setPeError(double)
- Method in class supervisedLearning.
BackPropagationNetwork
setPercent(double)
- Method in class stockIndex.
FinancialSample
setpWeight(double)
- Method in class neuron.
Connection
setRandomRates()
- Method in class supervisedLearning.
BackPropagationNetwork
setRate(double)
- Method in class stockIndex.
FinancialSample
setRate(double)
- Method in class stockIndex.
InterestRate
setSeed(long)
- Method in class utils.
LinearCongruentialGenerator
Set the seed value.
setStartTemp(int)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setStartTemp(double)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setStoptemp(int)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setStoptemp(double)
- Method in class simulatedAnnealing.
NeuralSimulatedAnnealing
setSum(double)
- Method in class neuron.
Connection
setThisNeuron(int)
- Method in class neuron.
Connection
setTotalError(double)
- Method in class supervisedLearning.
BackPropagationNetwork
setWeight(double)
- Method in class neuron.
Connection
setWResult(double)
- Method in class neuron.
Connection
simulatedAnnealing
- package simulatedAnnealing
simulatedAnnealing()
- Method in class stockIndex.
StockIndexPrediction
sin(double)
- Static method in class utils.
BoundMath
Calculate the sin.
size()
- Method in class stockIndex.
SP500Actual
SP500Actual
- Class in
stockIndex
Chapter 10: Application to the Financial Markets SP500Actual: Holds actual SP500 data and prime interest rates.
SP500Actual(int, int)
- Constructor for class stockIndex.
SP500Actual
sqrt(double)
- Static method in class utils.
BoundMath
Calculate the square root.
stitchInterestRates()
- Method in class stockIndex.
SP500Actual
stockIndex
- package stockIndex
StockIndexPrediction
- Class in
stockIndex
StockIndexPrediction()
- Constructor for class stockIndex.
StockIndexPrediction
string2double(String)
- Static method in class utils.
Convert
Convert a string to a double.
string2int(String)
- Static method in class utils.
Convert
Convert a string to an int.
sum
- Variable in class neuron.
Connection
sumError(double)
- Method in class neuron.
Connection
supervisedLearning
- package supervisedLearning
Overview
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Before Change
"helloworld"]
def test_cut_by_words_overlap(self):
try:
_ = cut_by_words(text="test test", chunk_size=1, overlap=1,
last_prop=.5)
raise AssertionError("did not throw error")
except AssertionError as error:
assert str(error) == OVERLAP_LARGE_MESSAGE
assert cut_by_words(text="test test test", chunk_size=2, overlap=1,
last_prop=.5) == ["test test ", "test test"]
try:
_ = cut_by_words(text="test test test", chunk_size=1, overlap=2,
After Change
"helloworld", " ", "helloworld"]
def test_cut_by_words_overlap(self):
assert cut_by_words(text="test test test", seg_size=2, overlap=1,
last_prop=.5) == ["test ", " test", "test ",
" test"]
def test_seg_size_assertion_error(self):
try:
_ = cut_by_words(text="test test", seg_size=1, overlap=1,


abstracts away the specific application, which requires some work from the user/developer.
has a default/example implementations for pathfinding, which is a common use case for a*, though one of the less interesting.


{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block propositionHeader %} {% include "includes/propositional_navigation.html" %} {% endblock %} {% block content %} {% include "includes/left_nav_settings.html" %} Settings - Provision {% set currentSettingsPage = 'provision' %} {% include "includes/settings_menu.html" %} Provision type Work experience TBC Start date DD MM YYYY Day Month Year End date DD MM YYYY Day Month Year Status on leaving Completed Early leaver Dismissed {% endblock %}
DD MM YYYY


Sage.DevTools
The developer tools extension for Sage.
Modules
Directory tree
Syntax highlighter
XML Tree
Developer Toolbar
Views
Log view
View inspector


You can use MyModelRobot to view your URDF files online
Some important info: Use radians when defining angle values. Program does some basic calculations, such as pi/2 becomes 1.571. You can have additional offsets in rotational or prismatic joints by having theta or d values. If there are no offsets, the column with variable (i.e. theta or d) should be 0.
Last column should be set true if the joint is rotational and false if it is prismatic
Code availible at: https://github.com/AdoHaha/DH2URDF


OpenOffice.org Software Development Kit (SDK) Build Guide
The OpenOffice.org Software Development Kit (SDK) can be build as a normal code module in the
OpenOffice.org build environment.
The build process of the SDK is split in two parts:
- the main part of the SDK is build in the api/odk module. In this module everything is
collected that is part of the SDK.
- header files
- IDL files
- tools
- examples
- some documentation
- IDL reference documentation is created
The result of this module is a platform specfic (incudes binaries) odkcommon.zip> file
in the <bin> directory of the output tree. And a odkexamples.zip> file
in the <bin> directory of the common output tree. The files are delivered and later on used
in instsetoo_native to package the SDK product.
Many parts of the SDK are coming directly from the global output tree (e.g. header files, IDL files,
tools). So it is recommended to build the SDK at the end of a normal build. If the SDK should be build
on base of an existing solenv, you have at least to checkout the two modules:
- api/odk
- instsetoo_native
and have to build them in the given order. In instsetoo_native/util you can use dmake sdkoo to
trigger a SDK packaging process directly.
Porting the SDK
The SDK comes currently with a simplified build environment for the examples. This build environment
is based on gnu make. This allows SDK users to use the examples or to create own solutions based on the
SDK without any complex OpenOffice.org build environment. For porting the SDK to a new platform it is
necessary to:
- check the api/odk/settings/settings.mk file, insert the appropriate extension and adopt it
to the requirements of the new platform.
- to provide a configure/setsdkenv script or to adopt the existing ones in the root of api/odk.
If it is necessary to insert new files, it is necessary to adopt the packaging makefiles (api/pack/...
and the check script (api/odk/util/check.pl). The check script provide a first simple content check
of the SDK at the end of the build.
Last update: 11-Aug-2008


@(id: String, subComps: Int, trans: Int) @import helper._ @* Call main template with title and html to display *@ @main("Delete Subcomponent Confirmation"){ }{


| from_root {xfun} | R Documentation |
First compose an absolute path using the project root directory and the
relative path components, i.e., file.path(root, ...)
. Then
convert it to a relative path with relative_path()
, which is
relative to the current working directory.
from_root(..., root = proj_root(), error = TRUE)
... |
A character vector of path components relative to the root directory of the project. |
root |
The root directory of the project. |
error |
Whether to signal an error if the path cannot be converted to a relative path. |
This function was inspired by here::here()
, and the major difference
is that it returns a relative path by default, which is more portable.
A relative path, or an error when the project root directory cannot
be determined or the conversion failed and error = TRUE
.
## Not run: xfun::from_root("data", "mtcars.csv") ## End(Not run)


Welcome to C&D Animal Shelter!
Here are some animals for adoption:
Find out more about adoption here.
Here are some recently placed animals:
Find out more about success stories here.


From here you can migrate a template from Mandrill to SparkPost.You will need a few things to hand to get started:
templates/info
Templates Read/Write
{{sandboxDomain}}


UK cinema chains pull gang-themed movie after brawl
LONDON - Two British cinema chains have pulled a film set among London street gangs after a brawl broke out at a movie theatre where it was showing.
Showcase Cinemas and Vue say they won’t screen “Blue Story,” which centres on two friends on opposing sides of a violent neighbourhood rivalry.
Police say dozens of youths, several carrying machetes, clashed at Vue’s Star City theatre in Birmingham, central England, on Saturday. Six teenagers aged 13 to 19 were arrested and seven officers were slightly hurt.
Police did not connect Saturday’s brawl to “Blue Story,” but Vue said Monday there had been more than 25 “significant incidents” at theatres screening the movie.
The film’s director, Andrew Onwubolu, said it was "truly unfortunate that a small group of people can ruin things for everybody.”


Optionally, provide more in-depth review for others to read, otherwise your review is anonymous. You can always edit this later!


Portfolio
StarwarsIndex
As a person with limited knowledge about StarWars, and WANT to search more about Star-Wars and their characters, planet, vehicles, and etc. The page will display the details regarding the search.
Click here for project
MVC- A Node/Express CMS-style application
This was my Full Stack Project. I have created Library-Management-System as an online library for book readers.
Click here for project
Work Day Schedule
As an employee with a busy schedule, I want to create a daily work day planner that I can add and save important events to it, so I can manage my time more effectively.
Click here for project
Node.js command-line application that takes in information about employees, then generates an HTML webpage that displays for each person.
A Node.js command-line application that takes in information about employees on a software engineering team, then generates an HTML webpage that displays summaries for each person.
Click here for project
A Node/Express CMS-style blog site similar to a Wordpress site
I have created this application which builds a CMS-style blog site similar to a Wordpress site, where developers can publish their blog posts and comment on other developers’ posts as well. I build this site completely from scratch and deploy it to Heroku.
Click here for project
Click here for deploy heroku link
E-Commerce-Back-End application built using Sequelize and MySQL database
Click here for project


"FOREKNOWLEDGE OF GOD" Acts 2:23; Romans 8:29; 11:2; 1 Peter 1:2), one of those high attributes essentially appertaining to him the full import of which we cannot comprehend. In the most absolute sense his knowledge is infinite (1 Samuel 23:9-13; Jeremiah 38:17-23; 42:9-22, Matthew 11:21, 23; Acts 15:18).
"FOREKNOWLEDGE OF GOD" Acts 2:23; Romans 8:29; 11:2; 1 Peter 1:2), one of those high attributes essentially appertaining to him the full import of which we cannot comprehend. In the most absolute sense his knowledge is infinite (1 Samuel 23:9-13; Jeremiah 38:17-23; 42:9-22, Matthew 11:21, 23; Acts 15:18).


Map Yap - 12/13/2015
While many of Ruby’s built-in enumerable methods are specifically designed to sort the items in the collection by different parameters, map is a powerful tool to act on each item in a collection.
Just the other day, I was sitting with a group of dancers writing some thank-you notes for donations we’d received. We were passing the notes around the table, taking turns adding different things to each note until each one was done. Please suspend your disbelief and imagine that our Ruby code would work in the physical world.
notes=[Phonecia’s note, David’s note, Jak’s note, Britknee’s note, Ed’s note, …]
notes.map!{ | note | add salutation} #Roche’s code
notes.map!{ | note | add info about last project and next project} #Virginia’s code
notes.map!{ | note | add happy holidays!} #Sam’s code
notes.map!{ | note | address the envelope} #Alex’s code
notes.map!{ | note | stick on a stamp} #Odessa’s code
Can you imagine how long it would take to write code for each of my dancer friend’s to do each task? And what if we forgot to do one task on one note? If we forgot the stamp, the note would never get to its recipient!
Also, notice above that we are using the destructive .map! rather than .map. The later would create a new array, while the former acts directly on the original array.
Now let’s use this method on some actual code.
array = [1,2,3,4,5,6,7,8]
array.map {|item| print “#{item}! “ if item%2==0}
print “Who do we appreciate?!?”
Would display: 2! 4! 6! 8! Who do we appreciate?!?
Our .map iterates over the array and prints out only the numbers that are even—very useful for our spirit day cheer.


By downloading or using the app, these terms will automatically apply to you – you should make sure therefore that you read them carefully before using the app. You’re not allowed to copy, or modify the app, any part of the app, or our trademarks in any way. You’re not allowed to attempt to extract the source code of the app, and you also shouldn’t try to translate the app into other languages, or make derivative versions. The app itself, and all the trade marks, copyright, database rights and other intellectual property rights related to it, still belong to Avi Parshan.
Avi Parshan is committed to ensuring that the app is as useful and efficient as possible. For that reason, we reserve the right to make changes to the app or to charge for its services, at any time and for any reason. We will never charge you for the app or its services without making it very clear to you exactly what you’re paying for.
The unitMeasure app does not stores or process personal data. It’s your responsibility to keep your phone and access to the app secure. We therefore recommend that you do not jailbreak or root your phone, which is the process of removing software restrictions and limitations imposed by the official operating system of your device. It could make your phone vulnerable to malware/viruses/malicious programs, compromise your phone’s security features and it could mean that the unitMeasure app won’t work properly or at all.
You should be aware that there are certain things that Avi Parshan will not take responsibility for. Certain functions of the app, at some point, require the app to have an active internet connection. The connection can be Wi-Fi, or provided by your mobile network provider, but Avi Parshan cannot take responsibility for the app not working at full functionality if you don’t have access to Wi-Fi, and you don’t have any of your data allowance left.
If you’re using the app outside of an area with Wi-Fi, you should remember that your terms of the agreement with your mobile network provider will still apply. As a result, you may be charged by your mobile provider for the cost of data for the duration of the connection while accessing the app, or other third party charges. In using the app, you’re accepting responsibility for any such charges, including roaming data charges if you use the app outside of your home territory (i.e. region or country) without turning off data roaming. If you are not the bill payer for the device on which you’re using the app, please be aware that we assume that you have received permission from the bill payer for using the app.
Along the same lines, Avi Parshan cannot always take responsibility for the way you use the app i.e. You need to make sure that your device stays charged – if it runs out of battery and you can’t turn it on to avail the Service, Avi Parshan cannot accept responsibility.
With respect to Avi Parshan’s responsibility for your use of the app, when you’re using the app, it’s important to bear in mind that although we endeavour to ensure that it is updated and correct at all times, we do rely on third parties to provide information to us so that we can make it available to you. Avi Parshan accepts no liability for any loss, direct or indirect, you experience as a result of relying wholly on this functionality of the app.
At some point, we may wish to update the app. The app is currently available on Android – the requirements for system (and for any additional systems we decide to extend the availability of the app to) may change, and you’ll need to download the updates if you want to keep using the app. Avi Parshan does not promise that it will always update the app so that it is relevant to you and/or works with the Android version that you have installed on your device. However, you promise to always accept updates to the application when offered to you, We may also wish to stop providing the app, and may terminate use of it at any time without giving notice of termination to you. Unless we tell you otherwise, upon any termination, (a) the rights and licenses granted to you in these terms will end; (b) you must stop using the app, and (if needed) delete it from your device.
Changes to This Terms and Conditions
I may update our Terms and Conditions from time to time. Thus, you are advised to review this page periodically for any changes. I will notify you of any changes by posting the new Terms and Conditions on this page. These changes are effective immediately after they are posted on this page.
Last modified: May 11, 2019
Contact Me
If you have any questions or suggestions about my Terms and Conditions, do not hesitate to contact me at avi@aviparshan.com.


At Hats and Tatts –a frat-themed dive bar – a neon sign reads, in bright blue lights, “Derelicte My Balls”. No doubt you get the reference.
Founded by Jason Chan, long-time hotelier in both Australia and NZ.
Monday CLOSED
Tuesday CLOSED
Wednesday 4:00pm - 1:00am
Thursday 4:00pm - 1:00am
Friday 12:00pm - 1:00am
Saturday 12:00pm - 1:00am
Sunday 12:00pm - 1:00am
78 Cecil St
South Melbourne
VIC 3205
Phone:
Email:


Claim your NHS Pension
Check if you can claim your NHS pension online
If you have HM Revenue & Customs (HMRC) Lifetime Allowance protection for your NHS pension you cannot claim your pension online.
What is lifetime allowance?
The lifetime allowance is a limit on the value of payouts from your pension schemes.
Lifetime Allowance protection examples:
- Enhanced
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(Already Filled Position)
Research
Internship
DTIS/ONERA
Title: Deep neural networks for 3D point cloud prediction from a single image
3D estimation is crucial for scene understanding (e.g., autonomous driving) and accurate 3D reconstruction (e.g., 3D mapping, robotics). 3D from a single image has recently reached great performances thanks to deep neural networks. This might be a data acquisition paradigm shift, away from stereo vision and active laser scanners.
We, at ONERA/DTIS, developed D3-Net [Carvalho et al., 2018a-b], one of the top state-of-the-art approaches for depth estimation using a deep learning approach, awarded by a Best Paper Award at RFIAP2018, the French machine learning conference.
To go further on our research, the objective of the internship is to push this work to develop convolutional neural networks (CNNs) to directly estimate 3D point clouds, instead of depth rasters. Indeed, 3D point clouds are the standard in 3D data acquisition with laser and photogrammetry, and hence in 3D perception.
Especially, the intern will tackle two problems:
build convolutional network models for prediction of 3D real points. A particular care will be given to the design of the loss function, as the same geometry may admit different point cloud representations. Solutions based on Optimal Transport will be investigated [Fan et al., 2017]; and
predict only accurate points to avoid further errors in reconstruction algorithms. Various approches will be compared, including simultaneous uncertainty prediction as in [Carvalho et al., 2018a], [Kendall & Gal, 2017], understanding of image hints which allow to estimate 3D: defocus, edges, scene statistics.
Responsibilities
Design and development of CNNs for 3D point cloud prediction from a single image;
Software development (Python) of CNNs using open libraries such as PyTorch or TensorFlow;
Application to robotics and computer graphics benchmarks and datasets such as ShapeNet, Stanford 2D-3D-S, or Semantic3D.
Basic Qualifications
Current enrollment in Master 2, 3rd year of Engineering School, or equivalent.
Good spoken and written English.
Experience in software development and debugging.
Ability to work autonomously (we'll still be there, don't worry).
Preferred Qualification
Previous experience in Python.
Knowledge in Image Processing/Computer Vision.
Experience with PyTorch and/or TensorFlow, Git and LaTeX.
Academic research experience.
Research and software engineer experience demonstrated via an internship, work experience, or robotics/coding competitions.
This internship will be held for 4-6 months in any period between January and September 2019.
This project may continue as a PhD thesis with our team.
Interest to join our team? Please send us an email with your CV and motivation letter to<EMAIL_ADDRESS>(Marcela Carvalho<EMAIL_ADDRESS>(Bertrand Le Saux) and<EMAIL_ADDRESS>(Pauline Trouvé-Peloux) .
You may find the original internship offer here and other internships with our team may be found here.
References
[Carvalho et al., 2018b] On Regression Losses for Deep Depth Estimation, M. Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa IEEE Int. Conf. on Image Processing (ICIP’2018) Athens, Greece, October 2018.
[Carvalho et al., 2018a] Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?, M. Carvalho, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, A. Almansa ECCV / Workshop on 3D Reconstruction in the Wild, Munich, Germany, September 2018.
[Fan et al., 2017] A Point Set Generation Network for 3D Object Reconstruction from a Single Image, Haoqiang Fan, Hao Su, Leonidas J. Guibas CVPR 2017, Hawaii, USA, July 2017.
[Kendall & Gal, 2017] What uncertainties do we need in Bayesian deep learning for computer vision?, A. Kendall, Y. Gal, NIPS 2017, Long Beach, Cal., USA, December 2017.


Album:   Bandana
Song:  Crime Pays
Artist:   Crime Pays
Release Date:   June 28, 2019
Notable Events:
Mar 13 US grounds all Boeing 737 Max aircraft after bans by others countries following the plane type's second crash in Ethiopia
Mar 15 Climate change strikes held by school children take place around the world inspired by Swedish teenager Greta Thunberg
Mar 23 Syrian Democratic Forces announce that the last Islamic State territory has been retaken raising flags in Baghuz, Syria and ending the five-year Islamic State "caliphate"


Preparation time
less than 30 mins
Cooking time
1 to 2 hours
Serves
Serves 4-6
This cheap and filling steamed pudding is inspired by a World War II ration recipe.
Melt the dripping in a hot saucepan. Add the oatmeal and cook for 2-3 minutes then stir in the corned beef, breadcrumbs and raw carrots.
Stir in the vegetable stock until well combined.
Grease a pudding basin and spoon in the mixture.
Fold a large piece of aluminium foil in half and grease one side with butter. Wrap the pudding in the greased foil, greased side facing into the pudding. (Pleat the foil a few times as you wrap it to allow room for the pudding to expand.) Secure the foil to the rim of the pudding basin with string.
Place the wrapped pudding into a large steamer. (Alternatively, place the wrapped pudding into a large pan, pour in enough boiling water to reach halfway up the sides of the basin, then cover the pan with a lid.) Steam the pudding over a medium heat for 1 hour 30 minutes, or until cooked through, topping up the steamer with boiling water as necessary. (NB. The pudding is cooked through when a skewer inserted into the centre comes out clean.)