Parameters
| Gel Identifier | Sets the gel identifier to be used for identifications in the generated mzTab file. |
|---|---|
| Spot Identifier | Sets the gel spot identifier to be used for identifications in the generated mzTab file. This option is ignored if gel_spot_regex is set. |
| Spot Regular Expression | Used to extract the gel spot identifier based on the sourcefile's name. The first matching group in the pattern is used as a spot identifier. |
| Generate Quantitation Fields | Adds (empty) quantitative fields to the generated mzTab file for the number of specified reagents. |
The DAO options, if any, will be identical to those present in the PRIDE Converter 2 and will be stored in the mzTab file. In order to avoid unpredictable DAO behaviour, users must use the same settings when generating the mzTab files and when using the PRIDE Converter 2. As the options are stored in both the report file and the mzTab file, validity checks will be performed to ensure that both sets of options are identical. Any differences will cause an exception and the Conversion process will be blocked until all options match.
Adding Gel-based information
The “gel identifier” option is used to set the gel identifier to be used for identifications in the generated mzTab file. This identifier should correspond to the gel’s “name” in the publication (f.e. “Gel A”, “Gel B” etc.). It should enable reviewers and readers to easily link the submitted data to the data presented in the corresponding manuscript.
The “gel spot identifier” option sets the gel spot identifier to be used for identifications in the generated mzTab file. This represents the gel spot’s description used in the manuscript – similar to the “gel identifier” for the gel itself. Expected values would be “Spot 1”, “Spot 2”, etc. Together with the “gel identifier” it is therefore possible for the reviewer and reader to unambiguously link findings presented in the manuscript to specific identifications reported in the PRIDE XML file. This option is ignored if the “gel spot regex” option is set. The “gel spot regex” option is used to extract the gel spot identifier based on the source file's name. The value of this option must correspond to a valid Java regular expression. The first matching group in the pattern will be used as a spot identifier.
Both of these fields can also be added manually to an existing mzTab file: the “gel spot identifier” is mapped to the “opt_gel_identifier” column and the “gel spot identifier” to the “opt_gel_spotidentifier” column in the mzTab file. Additional gel specific information can be supplied using the following optional columns in the mzTab file:
- opt_gel_url The gel's URL to use as a link.
- opt_ycoord_pixel Y coordinates in pixel of the spot in the gel
- opt_xcoord_pixel X coordinates in pixel of the spot in the gel
- opt_mw The protein's (observed) molecular weight.
- opt_pi The protein's (observed) pI.
Once these columns are present in the supplied mzTab file, PRIDE Converter will automatically add the corresponding values to the PRIDE XML file. For more information on mzTab and on optional columns in mzTab files please refer to the mzTab format specification at http://mztab.googlecode.com.
Adding quantitative data
The “generate quant fields” option will add empty placeholder quantitative fields to the generated mzTab file for the number of specified labels. These fields and columns will need to be manually or programmatically filled in with the proper values before the mzTab file is ready to be used by the PRIDE Converter 2. If, for example, a 4-plex iTRAQ approach was used in which 4 different samples were labelled, the “generate quant fields” should be set to “4”.
As a result, the mzTab generator will automatically add the required meta-data fields to the generated mzTab file:
- A placeholder for the used quantification method (“[UNIT_ID]-quantification_method”)
- A placeholder for the used protein quantification unit (“[UNIT_ID]-protein-quantification_unit”)
- A placeholder for the used peptide quantification unit (“[UNIT_ID]-peptide-quantification_unit”)
Additionally, so-called “subsamples” will be added to the mzTab file for every label. These subsamples will contain place holders to describe the used label as well as the characteristics of the labelled (biological) sample:
- A placeholder for the used quantification reagent
- A placeholder for the human readable description of the labelled sample (f.e. “healthy control”)
At last, the mzTab generator will also add columns to the mzTab file’s protein and peptide section to hold the actual measured quantitative values for each protein and peptide identified in the MS run. The user must then manually or preferably automatically insert the actual quantification values into this mzTab file. Once PRIDE Converter is supplied with an mzTab file containing such quantitative information, these data will automatically be reported in the generated PRIDE XML file.
A step-by-step description of how to generate quantitative mzTab file using the PRIDE mzTab Generator can be found in the PRIDE Converter 2 wiki: https://code.google.com/p/pride-converter-2/wiki/QuantitativeMzTabFiles.


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“XSS enables attackers to inject client-side script into Web pages viewed by other users. A cross-site scripting vulnerability may be used by attackers to bypass access controls such as the same origin policy. Their effect may range from a petty nuisance to a significant security risk, depending on the sensitivity of the data handled by the vulnerable site and the nature of any security mitigation implemented by the site's owner.”
garðr m (genitive garðs, plural garðar)
- a fence, wall
- (especially in compounds) an enclosed space, yard
- a courtyard, court
- a house, dwelling
- (especially in compounds) a stronghold, castle, hold
<!DOCTYPE html>
<html><head>
<meta charset="utf-8" />
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|
MOVE - A player moves one of his stones
that it is in the middle of a (diagonal or orthogonal) 3 in-a-row made
by stones of either color. Then the stone may slide any number of
empty cells in one of the two perpendicular directions of the 3
in-a-row it belongs.
|
CAPTURE - A sliding stone can stop on a cell
occupied by an enemy stone, capturing it. |
|
CORNERS - A stone on a corner may move if it
is orthogonally adjacent to two other stones. It may slide (and
capture) in the only possible diagonal direction. |
|
|
GOAL
- A player that is unable to move loses the game.
|
If a situation arises where both players
repeat a board position, wins the one with the least number of
stones. If both have an equal number of stones, the game is a
draw. |
|
|


Role: Webmaster + Book Designer
Tools: Sketch, HTML/CSS, and Google Docs
Synbio is an undergraduate project-based Bioengineering organization at UC San Diego dedicated to bringing awareness to and exploring ideas in synthetic biology. As an official board member of Synbio, I participated as a webmaster and created and maintained the Synbio website. The main goal for this website was to inform the users about the organization, the schedule of events, the achievement of the organization and the contact information.
To enhance the recognition and understanding of synthetic biology, members from Synbio wrote articles on diverse fields of synthetic biology. I assembled the articles and designed the cover page.


My music is
very particular and
strange
My music is
the only way
for a dreamer and
a loyal friend
I find the
music through
the heart and
the will
My music doesn't
belong at this
society because it
is pure and
sexy
Sometimes my music
her way had
and strange capture
Sometimes in my
music there is
a little bit
of nostalgia and
it wants to
travel a lot
It wants tattoos
and peace too
I pray for
my music because
sometimes it is
unlucky
My music is
suffering because in
this society there
is a few
love
In my music
are mentioned the
poors and the
prostitute
My music is
a big beautiful
an ingenious dream
My music studies
so much but
nobody doesn't understand
it
My music has
got a faith
but many religions
My music wants
hat my mind
was pure
My music lives
in eternity


{{ define "header"}}
Healthy Food Store
Healthy Food Store
Welcome, {{.U.Fname}}
Balance ${{.U.Credit | printf "%.2f"}}
Logout
Buy
Sell
Shopkeeping
Account
{{end}}


Mark McCall urges patience amid clamour for Saracens answers
The director of rugby is determined to keep his squad as united as possible.
Mark McCall says everyone at Saracens is aware of the need to be patient in pursuit of answers over the club’s long-term future.
The Allianz Park side have appealed against a 35-point deduction in the Gallagher Premiership and a fine of more than £5million for breaching salary cap rules for the last three seasons.
While there remain plenty of questions, director of rugby McCall is determined to focus on on-field matters ahead of Sunday’s Heineken Champions Cup opener at Racing 92.
“We get on with preparing well, keeping the group together and that is what we plan to do.
“I am not saying it is easy or straightforward, but because we’ve had a lot of cohesion at this club and continuity, there are some strong relationships and I believe that will see us through what will undoubtedly be a very challenging period.”
The 51-year-old admitted the biggest task facing him is keeping the squad united for the tests ahead, which could potentially include trying to avoid relegation.
We need to carry on what we're doing at the training ground and that's to prepare for rugby matches and keep this brilliant group of players and brilliant staff as united as they can beMark McCall
He added: “I think that’s my responsibility from the club, that’s my clear direction from the club, and in the meantime the club will deal with everything else.
“We need to carry on what we’re doing at the training ground and that’s to prepare for rugby matches and keep this brilliant group of players and brilliant staff as united as they can be.”
After winning the Premiership and Champions Cup last season, Saracens could be involved in a scrap to stay up this time around if they are deducted 35 points.
But McCall defiantly insisted: “A challenge is a challenge. It’s a hell of a challenge – if the points deduction stays what it is – to try and avoid relegation, and it’s a challenge we haven’t had to experience before as a group.
“It is one which we will get our head around and relish if we have to do that, but we don’t know that for definite yet.”
Some have trained this week and he hinted a few could be involved at Racing this weekend, but England captain Owen Farrell is unlikely to be among them.
“Owen and I have had a long chat,” McCall said. “He shouldered a lot of responsibility in that competition and I don’t know what it’s like to lose a World Cup final.
“We need to give him as much time as he needs to come back and be fresh to play for us and to relish playing rugby again.
“We will make sensible decisions on an individual basis on what is right for the player and the club, but we’ll be putting strong teams out every week.”


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PROJECT
CHECK OUR LATEST PROJECTS
TIMELINE
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Covid-19 definitely has been an experience that humans would remember in the future, the way how society functions has adapted to this pandemic......
Read MoreAs engineers, we are inclined towards new technologies and therefore most of us welcome this upcoming change in the automobile sector i.e. Electric Vehicles aka EVs......
Read MoreOur planet Earth is blessed with an abundance of resources, but our experiments have proven that if we mindlessly exploit these resources, we can potentially do more harm than good......
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Rounders 2 and 1/2 Stars (Out of 4) Reviewed by Mac VerStandig<EMAIL_ADDRESS>Http://www.moviereviews.org
What is a movie that has no apparent morals, encourages illegal practices, and features it toughest character in a one-piece jump suit? Is it a testimony to a great plot, or a circus sideshow gone horribly astray? When Rounders starts it's 2-hour duration it is clearly leaning toward the latter of the 2 options. And yet, when the last reel is over and all is said done, the film is so much more than a testimony to the great plot it is made of. In-between the beginning and end there is a line that is treaded by this unique film that often resembles a line between genius and insanity. And those elements are no less diverse as both the positive and negative of this film. But, as it is nice to see once in a while, the positive elements prevail here.
Mike McDermott (Matt Damon) is a small time poker player in New York City. He sits with the best in the world, everyone from "grinders," those who make a living at the poker table, to Russian mobsters that are connected all the way up. His best friend, and long time partner, is incarcerated for credit card fraud. His social life has been steady lately, as he lives with his girlfriend outside of the law school campus that he attends. His main focus is his studies, and he has the ability to be one of the best lawyers in his class.
Everything in Mike McDermott's life is a constant, stable, chain link. Even his gambling at the poker table is a calculated risk. So what happens when he has a hand of poker that goes wrong? He quits the game, hoping not to throw off the balance of his life. But everything in his life will change when his best friend, Lester "Worm" Murphy (Edward Norton) is released from prison, and finds himself $25,000 in debt to the Russian mob. Choices are limited, and being a lifelong friend, Mike takes the game back, in an attempt to come up with the cash to bail his best pal out. The catch: A chain link fence is only as strong as the weakest link.
Rounders is not just a movie about the glories of poker, it is about a person finding himself, and what he really is. It is not a collection of explanations of rules, or wagering policies, but rather a complex character study. The unique thread of this study is that McDermott is the only vulnerable character in the film, in the sense that everyone else has already achieved a rhythm in their life and discovered who they really are.
It is very rare that a group of actors with as much recognition as this cast will assemble for a film, and all turn out four star performances. However, that does occur here. Matt Damon, Edward Norton, Martin Landau, John Turturro and Gretchen Mole are all excellent in their parts. The chemistry seems to work so well since they all portray vastly different characters, one of the advantages that the vastly rich script provides for.
And yet this wonderful film comes with one major caveat that adds a negative side to this work that is nearly equivalent to the positive, but thankfully not entirely. If you do not know how to play several types of poker or at least understand the rules of the games, you will be utterly bored for 120 minutes. Despite the successful attempt to lure the film away from cards to character development, there is still a heavy emphasis put on cards and the assumption that all viewers already know the rules of the games.
The bottom line when you look at Rounders is that when all has been said and done, a lot more ends up said then done. Does this takeaway from a potentially great film? Somewhat. Is the aforementioned caveat to the film's incredible entertainment value a major loss? Well, not necessarily. For some viewers, especially those experienced in the field of card games, it only adds to the most enjoyable experience. And yet, for those who are not as knowledgeable, this film can seem like an eternity at times, and that costs it most of, if not all of it's value. So, I am going to compromise
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


|
SideCar
|
Templated class that provides type-safe processing of SideCar messages. More...
#include </Users/howes/src/sidecar/Algorithms/Processor.h>
Public Types | |
| using | Proc = boost::function< bool(P *, typename M::Ref)> |
| Type definition for a method of class P that can process messages of class M. | |
Public Member Functions | |
| TProcessor (P *obj, Proc proc) | |
| Constructor. More... | |
| bool | process (const Messages::Header::Ref &msg) |
| Implementation of the Processor base class method. More... | |
| Public Member Functions inherited from SideCar::Algorithms::Processor | |
| virtual | ~Processor () |
| Destructor. More... | |
Templated class that provides type-safe processing of SideCar messages.
Definition at line 36 of file Processor.h.
|
inline |
Constructor.
Initializes with the given parameters
| obj | instance of class P that will process incoming messages |
| proc | boost::function wrapper around a method of class P that will process incoming messages |
Definition at line 51 of file Processor.h.
|
inlinevirtual |
Implementation of the Processor base class method.
Converts from a generic message type into an algorithm-specified message type, and invokes the registered processor method on the message
| msg | the incoming SideCar message to process |
Implements SideCar::Algorithms::Processor.
Definition at line 60 of file Processor.h.


{% extends "base.html" %} {% block title %}Internal Server Error{% endblock %} {% block content %}
Something blew up.
Go somewhere nice


Public Member Functions |
Protected Member Functions |
Private Member Functions |
List of all members
KMLNetOutput Class Reference
KML for network performance analysis (colour-coded based on the ratio flow/capacity) More...
#include <KMLNetOutput.h>
Inheritance diagram for KMLNetOutput:
Collaboration diagram for KMLNetOutput:
Public Member Functions | |
| KMLNetOutput (StarNetwork *net) | |
| KMLNetOutput (StarNetwork *net, const std::string &logFileForMissingIDs) | |
| void | createKML (const std::string &fileWithNodes, const std::string &kmlFileName) |
| Public Member Functions inherited from NetOutput | |
| NetOutput (StarNetwork *net, const std::string &logFileForMissingIDs="log.missing.ids.txt") | |
| void | readCoord (const std::string &file, std::vector< FPType > &xCoord, std::vector< FPType > &yCoord, std::vector< int > &nodeID) |
Protected Member Functions | |
| virtual FPType | calcLineWidth (StarLink *link) |
| virtual std::string | createColorFromLineWidth (FPType lineWidth) |
| virtual std::string | createLineWidth (FPType lineWidth) |
| virtual bool | shouldCreatePlacemark (StarLink *link) |
| virtual std::string | createDescriptionString (StarLink *link) |
| virtual std::string | createLinkNameForDescription (StarLink *link) |
Private Member Functions | |
| std::string | createKmlHeader () |
| std::string | createKmlFooter () |
| std::string | createPlacemark (FPType x1, FPType y1, FPType x2, FPType y2, StarLink *link) |
| std::string | createStyleForLink (int linkIndex, FPType lineWidth) |
| std::string | createDescription (StarLink *link) |
| std::string | createCoordLine (FPType x1, FPType y1, FPType x2=std::numeric_limits< FPType >::infinity(), FPType y2=std::numeric_limits< FPType >::infinity()) |
Additional Inherited Members | |
| Static Protected Member Functions inherited from NetOutput | |
| static const std::string | getRedColor () |
| static const std::string | getBlueColor () |
| static const std::string | getGreenColor () |
| static const std::string | getLightBlueColor () |
| static const std::string | getOrangeColor () |
| Protected Attributes inherited from NetOutput | |
| StarNetwork * | net_ |
| std::string | logFileForMissingIDs_ |
Detailed Description
KML for network performance analysis (colour-coded based on the ratio flow/capacity)
This class creates kml-file with current flow solution. Different colours correspond to different levels of congestion (based on the ratio flow/capacity)
Member Function Documentation
|
protectedvirtual |
- Returns
- flow/capacity ratio, -1 if capacity is zero.
Reimplemented in KMLSelectLink, DiffKMLNetOutput, and KMLPlotTolls.
|
protectedvirtual |
- Returns
- kml colour depending on line width: if lineWidth is -1, green colour, if lineWidth is greater than 1, red colour, blue colour otherwise.
Reimplemented in KMLSelectLink, DiffKMLNetOutput, and KMLPlotTolls.
|
protectedvirtual |
- Returns
- string for link description.
Reimplemented in KMLSelectLink, KMLPlotTolls, and DiffKMLNetOutput.
| void KMLNetOutput::createKML | ( | const std::string & | fileWithNodes, |
| const std::string & | kmlFileName | ||
| ) |
Creates kml-file.
- Parameters
-
fileWithNodes path to file with coordinates for each node (all coordinates must be in wgs84 coordinate system). kmlFileName path to file where kml should be written.
|
protectedvirtual |
- Returns
- scaled line width for kml-output.
Reimplemented in KMLSelectLink, KMLPlotTolls, and DiffKMLNetOutput.
|
protectedvirtual |
- Returns
- link name used in description.
|
protectedvirtual |
- Returns
- true if link flow is positive, false otherwise.
Reimplemented in KMLSelectLink, KMLPlotTolls, and DiffKMLNetOutput.
The documentation for this class was generated from the following files:
- KMLNetOutput.h
- KMLNetOutput.cpp


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators. All aspects of our software development process are intergrated, interactive ang agile.
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We start each project by by understanding your business goals, the user's needs and product requirements.
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Before we sign a contract or write a line of code our team will spend the necessary time needed to understand ur product vision
The outcome of this scoping session is a proposal or high-level statement of work.
based on your requirements, we can provide a comolete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing. Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
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Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.
DELANI STUDIO
2019


|
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See:
Description
| Class Summary | |
|---|---|
| BinaryExpressionOperator | This abstract class represents the logical Binary Expression Operator The binary operator has two operands and an operator. |
| CanonicalNamer | A visitor to walk the logical plan and give canonical names fields. |
| DotLOPrinter | This class can print a logical plan in the DOT format. |
| ExpressionOperator | |
| LOAdd | |
| LOAnd | |
| LOBinCond | |
| LOCast | |
| LOCogroup | |
| LOConst | |
| LOCross | |
| LODefine | |
| LODistinct | |
| LODivide | |
| LOEqual | |
| LOFilter | |
| LOForEach | |
| LOFRJoin | This is the logical operator for the Fragment Replicate Join It holds the user specified information and is responsible for the schema computation. |
| LOGenerate | |
| LogicalOperator | Parent for all Logical operators. |
| LogicalPlan | |
| LogicalPlanBuilder | PlanBuilder class outputs a logical plan given a query String and set of ValidIDs |
| LogicalPlanCloneHelper | LogicalPlanCloneHelper implements a visitor mechanism to clone a logical plan and then patch up the connections held within the operators of the logical plan. |
| LogicalPlanCloner | LogicalPlanCloner provides the only mechanism of cloning a logical plan and hence the the logical operators in the plan. |
| LOGreaterThan | |
| LOGreaterThanEqual | |
| LOIsNull | |
| LOLesserThan | |
| LOLesserThanEqual | |
| LOLimit | |
| LOLoad | |
| LOMapLookup | |
| LOMod | |
| LOMultiply | |
| LONegative | |
| LONot | |
| LONotEqual | |
| LOOr | |
| LOPrinter | A visitor mechanism printing out the logical plan. |
| LOProject | LOProject is designed like a singly linked list; A few examples will illustrate the point about the linked list nature of the design; a = load 'input1' as (name, age); b = group a by name; foreach b generate a, a.name; The project operator occurs in two places in the above script: generate a(here) and a.name(here) In the first occurrence, we are trying to project the elements of the bag a; In order to retrieve the bag, we need to project the the second column ($1) or column number 1 (using the zero based index) from the input (the relation or bag b) In the second occurence, we are trying to project the first column ($0) or column number 0 from the bag a which in turn is the column number 1 in the relation b; As you can see, the nested structure or the singly linked list nature is clearly visible; Given that it's a singly linked list, the null pointer or the sentinel is marked explictly using the boolean variable mSentinel; The sentinel is marked true only when the input is a relational operator; This occurs when we create the innermost operator |
| LORegexp | |
| LOSort | |
| LOSplit | |
| LOSplitOutput | |
| LOStore | |
| LOStream | LOStream represents the specification of an external
command to be executed in a Pig Query. |
| LOSubtract | |
| LOUnion | |
| LOUserFunc | |
| LOVisitor | A visitor mechanism for navigating and operating on a tree of Logical Operators. |
| PlanSetter | A visitor to set plans correctly inside logical operators. |
| ProjectStarTranslator | A visitor to walk operators that contain a nested plan and translate project( * ) operators to a list of projection operators, i.e., project( * ) -> project(0), project(1), ... |
| RemoveRedundantOperators | A visitor to remove redundant operators in a plan |
| TopLevelProjectFinder | A visitor to track the top-level projection operators in a plan. |
| UnaryExpressionOperator | This abstract class represents the logical Unary Expression Operator The unary operator has an operand and an operator. |
| Exception Summary | |
|---|---|
| FrontendException |
The logical operators that represent a pig script and tools for manipulating those operators. The logical layer contains the logical operators themselves, as well as validators that check the logical plan, an optimizer, and a general visitor utility for working with the logical plans.
Logical operators use the operator, plan, visitor, and optimizer framework
provided by the org.apache.pig.impl.plan
package.
Logical operators consist of both relational and expression operators. Relational operators work on an entire bag. Expression operators work on an element of a tuple (which may also be a bag). Due to Pig's nested data and execution model the distinction between relational and expression operators is not always clear. And some operators such as LOProject function as both.
In a traditional data base system, a query execution plan is constructed from
relational operators, such as project, filter, sort, aggregate, join. Each of
these may contain an expression tree, made up of expression operators. For
example, consider a SQL query select a from T where a = 5;
. The
where clause would be represented by a filter operator with an expression tree
for a=5
.
Pig takes a similar approach, except that the operators contained inside of a
relational operator may also be relational. For example, a foreach statement
that has a nested script, such as foreach B { C = distinct $1; generate
group, COUNT(C);}
. This foreach needs to contain not just an
expression tree but the distinct relational operator. For this reason, Pig's
relational operators do not contain expression trees. Instead they contain
one or more LogicalPlans themselves. This allows Pig to arbitrarily nest
the logical plan. In this sense Pig is more similar to a traditional
procedural language where certain statements (e.g. if, while) can contain any
other statement in the language rather than being like SQL where the statement
execution tends to be more linear.
Heads up to developers: when adding a new logical operator to the plan,
there are a number of classes that need to know about every type of operator.
These include PlanSetter
,
SchemaRemover
,
SchemaCalculator
, and
LogicalTransformer
.
|
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{% extends "library/base.html" %} {% block xbmc_library_title %}XBMC Library{% endblock %} {% block xbmc_library_content %}


Facets are contained inside a facet-container
element. A facet-container
element can have many
facet
elements underneath it. The facet-container
must have the select-title
and
clear-text
attributes set. select-title
should be set to the value which appears above the
selected facets. clear-text
should be set to the value which appears in the clear all link. In addition
to these options the no-items-text
attribute can be set which will display the specified text when no facet
options have been selected. no-items-text
is an optional attribute.
The clear-all-fn
is an optional attribute in this directive that defines a function expression called when
the clearAll is clicked. This option will override the default function expression provided in UX Aspects and can be used
to define a user method.
A facet
element may have the following attributes:
A facet
element can contain many facet-option
elements. facet-option
elements
can have the following attributes:
facet-option
will appear disabled and clicking on it will have no effect.
facet-option
will be visible even if the count is 0.
select
) or
deselected (deselect
). This will update the count based on the number of items that
are selected in selection mode when the filtering is done on facets.
If the visibility of the facet container can be toggled, then the facet-reinitialise
event may be broadcast
by the controller in order to prevent display issues with the facet options when they become visible. For example, if
visibility of the facets is controlled by a boolean variable, the following code will broadcast the event at the appropriate
time.


Fact: virtual
Purpose: Determine if the system’s hardware is real or virtualised.
Resolution:
Assumes physical unless proven otherwise. On Darwin, use the macosx util module to acquire the SPDisplaysDataType, from that parse it to see if it's VMWare or Parallels pretending to be the display. On Linux, BSD, Solaris and HPUX: Much of the logic here is obscured behind util/virtual.rb, which rather than document here, which would encourage drift, just refer to it. The Xen tests in here rely on /sys and /proc, and check for the presence and contents of files in there. If after all the other tests, it's still seen as physical, then it tries to parse the output of the "lspci", "dmidecode" and "prtdiag" and parses them for obvious signs of being under VMWare, Parallels or VirtualBox. Finally it checks for the existence of vmware-vmx, which would hint it's VMWare.
Caveats:
Many checks rely purely on existence of files.


|
Panda3D
|
A list of tasks, for instance as returned by some of the AsyncTaskManager query functions. More...
Public Member Functions | |
| __init__ () | |
| __init__ (const AsyncTaskCollection copy) | |
| addTask (AsyncTask task) | |
| Adds a new AsyncTask to the collection. More... | |
| addTasksFrom (const AsyncTaskCollection other) | |
| Adds all the AsyncTasks indicated in the other collection to this task. More... | |
| clear () | |
| Removes all AsyncTasks from the collection. More... | |
| AsyncTask | findTask (str name) |
| Returns the task in the collection with the indicated name, if any, or NULL if no task has that name. More... | |
| int | getNumTasks () |
| Returns the number of AsyncTasks in the collection. More... | |
| AsyncTask | getTask (int index) |
| Returns the nth AsyncTask in the collection. More... | |
| list | getTasks () |
| bool | hasTask (AsyncTask task) |
| Returns true if the indicated AsyncTask appears in this collection, false otherwise. More... | |
| AsyncTaskCollection | operator+ (const AsyncTaskCollection other) |
| AsyncTaskCollection | operator+= (const AsyncTaskCollection other) |
| AsyncTaskCollection | operator= (const AsyncTaskCollection copy) |
| AsyncTask | operator[] (int index) |
| Returns the nth AsyncTask in the collection. More... | |
| output (Ostream out) | |
| Writes a brief one-line description of the AsyncTaskCollection to the indicated output stream. More... | |
| removeDuplicateTasks () | |
| Removes any duplicate entries of the same AsyncTasks on this collection. More... | |
| bool | removeTask (AsyncTask task) |
| Removes the indicated AsyncTask from the collection. More... | |
| removeTask (int index) | |
| Removes the nth AsyncTask from the collection. More... | |
| removeTasksFrom (const AsyncTaskCollection other) | |
| Removes from this collection all of the AsyncTasks listed in the other collection. More... | |
| int | size () |
| Returns the number of tasks in the collection. More... | |
| write (Ostream out, int indent_level) | |
| Writes a complete multi-line description of the AsyncTaskCollection to the indicated output stream. More... | |
A list of tasks, for instance as returned by some of the AsyncTaskManager query functions.
This also serves to define an AsyncTaskSequence.
TODO: None of this is thread-safe yet.
| __init__ | ( | ) |
| __init__ | ( | const AsyncTaskCollection | copy | ) |
| addTasksFrom | ( | const AsyncTaskCollection | other | ) |
Adds all the AsyncTasks indicated in the other collection to this task.
The other tasks are simply appended to the end of the tasks in this list; duplicates are not automatically removed.
| clear | ( | ) |
Removes all AsyncTasks from the collection.
| AsyncTask findTask | ( | str | name | ) |
Returns the task in the collection with the indicated name, if any, or NULL if no task has that name.
| int getNumTasks | ( | ) |
Returns the number of AsyncTasks in the collection.
| list getTasks | ( | ) |
| bool hasTask | ( | AsyncTask | task | ) |
Returns true if the indicated AsyncTask appears in this collection, false otherwise.
| AsyncTaskCollection operator+ | ( | const AsyncTaskCollection | other | ) |
| AsyncTaskCollection operator+= | ( | const AsyncTaskCollection | other | ) |
| AsyncTaskCollection operator= | ( | const AsyncTaskCollection | copy | ) |
| AsyncTask operator[] | ( | int | index | ) |
Returns the nth AsyncTask in the collection.
This is the same as get_task(), but it may be a more convenient way to access it.
| output | ( | Ostream | out | ) |
Writes a brief one-line description of the AsyncTaskCollection to the indicated output stream.
| removeDuplicateTasks | ( | ) |
Removes any duplicate entries of the same AsyncTasks on this collection.
If a AsyncTask appears multiple times, the first appearance is retained; subsequent appearances are removed.
| bool removeTask | ( | AsyncTask | task | ) |
Removes the indicated AsyncTask from the collection.
Returns true if the task was removed, false if it was not a member of the collection.
| removeTask | ( | int | index | ) |
Removes the nth AsyncTask from the collection.
| removeTasksFrom | ( | const AsyncTaskCollection | other | ) |
Removes from this collection all of the AsyncTasks listed in the other collection.
| int size | ( | ) |
Returns the number of tasks in the collection.
This is the same thing as get_num_tasks().
| write | ( | Ostream | out, |
| int | indent_level | ||
| ) |
Writes a complete multi-line description of the AsyncTaskCollection to the indicated output stream.


In Bexar County, along with some parts of Medina and Atascosa counties, the San Antonio Water System serves about 1.6 million people every day. When most of us see SAWS, we automatically think, fresh drinkable water. What most of us do not realize is that the San Antonio Water System also take care of sewage. Deadly hazardous waste water waste that if they overflow, cause environmental and health dangers.
Scoop Your Dog's Poop Campaign
No Grease Please Community Outreach Campaign
The following questionaire represents the selected features used to make a prediction.
The model was trained using mockup data from mockaroo.com.


{% extends "layout.nunjucks" %} {% block page_title %}User Research, User Experience Design, and Front-End Development by Alex Wright{% endblock %} {% block page_class %}site--homepage{% endblock %} {% block site_content %}
I'm Alex Wright, designer and developer of digital interfaces at Five Q, working from my home in central New York.
I have 10 years of experience working with non-profits and startups in strategy, optimization, and constructing their digital products and offerings through user-centric and data-driven design.
I began my career as a Front-End Developer and made the progression to User Experience Designer, utilizing my knowledge of web technology to help guide the decisions and recommendations for all of my work.
My motivation and drive comes from my Lord and Savior Jesus Christ, to whom I strive to use the talents and gifts that were given to me.
I'm thankful for each of the ministries, non-profits, startups, and other organizations that I have had the privilege to work with over the last 10 years and assist them in their endeavors.
{% endblock %} {% block site_image %} {% endblock %}


Thank you for stopping by but since this API does not have any visual components (yet), there are no visual test pages available.
Thank you for stopping by but since this API does not have any visual components (yet), there are no visual test pages available.


|
My Project
|
Go to the source code of this file.
Macros | |
| #define | EPERM 1 /* Operation not permitted */ |
| #define | ENOENT 2 /* No such file or directory */ |
| #define | ESRCH 3 /* No such process */ |
| #define | EINTR 4 /* Interrupted system call */ |
| #define | EIO 5 /* I/O error */ |
| #define | ENXIO 6 /* No such device or address */ |
| #define | E2BIG 7 /* Argument list too long */ |
| #define | ENOEXEC 8 /* Exec format error */ |
| #define | EBADF 9 /* Bad file number */ |
| #define | ECHILD 10 /* No child processes */ |
| #define | EAGAIN 11 /* Try again */ |
| #define | ENOMEM 12 /* Out of memory */ |
| #define | EACCES 13 /* Permission denied */ |
| #define | EFAULT 14 /* Bad address */ |
| #define | ENOTBLK 15 /* Block device required */ |
| #define | EBUSY 16 /* Device or resource busy */ |
| #define | EEXIST 17 /* File exists */ |
| #define | EXDEV 18 /* Cross-device link */ |
| #define | ENODEV 19 /* No such device */ |
| #define | ENOTDIR 20 /* Not a directory */ |
| #define | EISDIR 21 /* Is a directory */ |
| #define | EINVAL 22 /* Invalid argument */ |
| #define | ENFILE 23 /* File table overflow */ |
| #define | EMFILE 24 /* Too many open files */ |
| #define | ENOTTY 25 /* Not a typewriter */ |
| #define | ETXTBSY 26 /* Text file busy */ |
| #define | EFBIG 27 /* File too large */ |
| #define | ENOSPC 28 /* No space left on device */ |
| #define | ESPIPE 29 /* Illegal seek */ |
| #define | EROFS 30 /* Read-only file system */ |
| #define | EMLINK 31 /* Too many links */ |
| #define | EPIPE 32 /* Broken pipe */ |
| #define | EDOM 33 /* Math argument out of domain of func */ |
| #define | ERANGE 34 /* Math result not representable */ |
| #define | EINVALID 35 |
| #define E2BIG 7 /* Argument list too long */ |
| #define EACCES 13 /* Permission denied */ |
| #define EAGAIN 11 /* Try again */ |
| #define EBADF 9 /* Bad file number */ |
| #define EBUSY 16 /* Device or resource busy */ |
| #define ECHILD 10 /* No child processes */ |
| #define EDOM 33 /* Math argument out of domain of func */ |
| #define EEXIST 17 /* File exists */ |
| #define EFAULT 14 /* Bad address */ |
| #define EFBIG 27 /* File too large */ |
| #define EINTR 4 /* Interrupted system call */ |
| #define EINVAL 22 /* Invalid argument */ |
| #define EINVALID 35 |
| #define EIO 5 /* I/O error */ |
| #define EISDIR 21 /* Is a directory */ |
| #define EMFILE 24 /* Too many open files */ |
| #define EMLINK 31 /* Too many links */ |
| #define ENFILE 23 /* File table overflow */ |
| #define ENODEV 19 /* No such device */ |
| #define ENOENT 2 /* No such file or directory */ |
| #define ENOEXEC 8 /* Exec format error */ |
| #define ENOMEM 12 /* Out of memory */ |
| #define ENOSPC 28 /* No space left on device */ |
| #define ENOTBLK 15 /* Block device required */ |
| #define ENOTDIR 20 /* Not a directory */ |
| #define ENOTTY 25 /* Not a typewriter */ |
| #define ENXIO 6 /* No such device or address */ |
| #define EPERM 1 /* Operation not permitted */ |
| #define EPIPE 32 /* Broken pipe */ |
| #define ERANGE 34 /* Math result not representable */ |
| #define EROFS 30 /* Read-only file system */ |
| #define ESPIPE 29 /* Illegal seek */ |
| #define ESRCH 3 /* No such process */ |
| #define ETXTBSY 26 /* Text file busy */ |
| #define EXDEV 18 /* Cross-device link */ |


NOISES OFF A film review by Frank Maloney Copyright 1992 Frank Maloney
NOISES OFF is a film directed by Peter Bogdanovich, from a screenplay by Marty Kaplan and adapted from a play by Michael Frayn. It stars Carol Burnett, Michael Caine, John Ritter, Marilu Henner, Denham Elliott, Julie Hagerty, Mark Linn-Baker, Christopher Reeve, and Nicollette Sheridan. Rated PG-13, for mild profanity, mature humor.
 Michael Caine is the director, who is just trying to get through it while his mind is on other projects, personal and professional. Carol Burnett is the aging star with her own money in the project. Ritter, Henner, Elliott, Reeve, and Sheridan play the actors who are similarly distracted by love, jealousy, brainlessness, deafness, and/or dipsomania. Linn-Baker and Hagerty play the stage director and his assistant.
It took a while for me to warm up to the broad physical humor and rapid-fire, throw-away dialog, but by the middle section of the movie I was howling. The cast is to be lauded for the tight, faultlessly and energetically complex timing of their comings and goings in front of and behind the set. The onstage farce is a virtual study in the art of door-slamming so essential to the bedroom farce since at least the heyday of Feydeau. The action gets even more complicated as the relations between the cast members heat up and the line between play and life softens and finally dissolves. Although the final scene is a given from the first, it is a delight to get there.
This is not a film that is going to find a mass audience, which is a shame, given the huge amout of talent used to present it. Everyone was at the top of his or her farcical form, and Bogdanovich has a penchant for casting wonderful performers who don't get nearly enough exposure, such as Burnett and Ritter. Ritter especially seems to be wasted by Hollywood, although I vastly prefer his movies, such as Bogdanovich's earlier THEY ALL LAUGHED and the glow-in-the-dark comedy he made for the director of VICTOR/VICTORIA, to the rather annoying "cutie" persona that television saddled him with. Bogdanovich elicits from his cast some genuinely inspired teamwork and split-second timing of non-stop gags.
It is true, however, that NOISES OFF is very obviously a filmed play, not a movie per se. It is impossible to get this story, in love as it is with the craziness of live theater, out from behind the proscenium and into the streets, as movies generally require.
I recommend NOISES OFF, but you might as well pay matinee prices as not. It's a confection, but a very entertaining one.
-- Frank Richard Aloysius Jude Maloney .
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


Many people who do bioinformatics (the field seems to have settled on “bioinformatician”, but I like “bioinformaticist” better) find themselves dealing with large data sets and long running processes, arranged in myriad pipelines. In our time, this inevitably demands distributed computing. Life innovated during the Cambrian explosion by going from single cells to colonies of cells. Life found a way to distribute and parallelize its processes. In order for us to properly focus our analytical microscopes on life, we imitate life in this strategy and distribute our processes across multiple CPU’s.
There are many strategies for distributing computation across multiple cores, processors, or physical computers, but this writeup will only cover the solutions provided by the Hadoop ecosystem, as packaged by Cloudera. It is the case that as it is widely used now, the Hadoop system of distributed computation and storage does not provide the best solution for long running computations that input or output little data. Even tasks which do use lots of data like sequence alignment, can resist parallelization such that the benefits of Hadoop are negated. Hadoop shines when inputs and or outputs are large in scale, but made of many independent records. Why is this?
Hadoop is a series of services, which when taken together, provide an environment for distributed computation. Each computer in a Hadoop cluster is referred to as a node. A Hadoop environment contains one or more nodes. The majority of the nodes in a multi-node cluster are known as “DataNodes”, which store the data and do most of the computation. There are usually at least “NameNodes”, which serve to maintain the state of the Hadoop distributed filesystem, but not the contents of any of the files on that filesystem, just the directory structure and the locations of the blocks that make up the files in it.
The Hadoop Ecosystem
HDFS is the conceptual core of Hadoop. This is the part that, once understood, can unlock one’s view of the whole picture. The key concept is that instead of pushing data to where computations are happening, the computation is pushed to where the data lives. A good example of this is Platform LSF or Sun Grid Engine, where the state of the art is to have NFS mounts on your compute nodes, such that when a job lands on that node, it then fetches the required inputs over the network, then does computation on them. Hadoop inverts this order of things by breaking each file up into chunks, default chunk size is 64MB, and distributing these chunks to the DataNodes. The NameNodes track which DataNode has which chunk of which file.
In order to do some computation on those distributed chunks, the MapReduce paradigm enters the picture. When computation needs to be done on a particular file, the required executables (jar files in this case) are sent to those DataNodes hosting at least one chunk of the file. The results of these computations are then gathered in HDFS, and potentially grouped by some key value. This is why large files, containing millions of small, homogeneous records are best for this paradigm. Each chunk is processed, line by line, with the results being aggregated for the whole.
From these two components, HDFS and MapReduce, the other services can be inferred or constructed. There is a distributed column-store database called HBase, there is a workflow manager called Oozie, there is an indexer/search service provided by SolrCloud.
It is doubtful that any bioinformatics shop will entirely rely on Hadoop for all its distributed computing needs. It’s more and more plausible every day, with projects like Crossbow, for bowtie alignment and Contrail for assembly. But in order to really learn how Hadoop works, I suggest an example problem.
I have selected the problem of calculating the mutational spectrum, as it is trivial to understand the mechanics of, is somewhat biologically relevant, and mimics exactly the flow of the classic Word Count MapReduce example.
In short, mutational spectrum is rate at which different types of mutations occur. Transitions are changes from a pyramidine base to another pyramidine, or a purine to another purine. A transversion is the substitution of a purine for a pyramidine, or vice versa.
My goal will be to generate a list of mutations, A -> C
, A -> G
, etc, with the associated number of occurences in a VCF file. The result will be several lines of text output.
BioWordCount: The MapReduce Job
The task of parsing each line of the VCF will be accomplished by a mapreduce job, which will be fed from an input in HDFS, and output an answer to HDFS as well. Begin by creating an empty maven project. There is an excellent tutorial on how to generate an empty maven project with the hadoop libraries at Cloudera’s website. Follow this, and you will end up with a project ready for our java files. Begin in the src/main/java/al/archetyp/biowordcount
directory, replacing the archetyp.al namespace for one of your choosing (preferably the one you used when creating your project).
The first class we create will be the BioWordCount class, which will hold both our mapper and reducer class. For a project of any size, the practice of putting the mapper and reducer in the same class that contains our Main, would be unwise. However, my goal with this demo is to push the complexity down low enough that one can concentrate purely on what mapreduce is and how one might use it.
The mapper class will look like this:
1 2 3 4 5 6 7 8 9 10 11 12 13 |
|
The four type parameters to the Mapper class that we extend are important. The first type, LongWritable, describes the type of the input key, in this case it will be an offset into the file, a line number. The second type is the value of the input. Text is a Hadoop specific type for passing around lines of text from a file. The next two types are the key and value types of the output of the mapper. For the purposes of the biowordcount app, the text key will be something like “A -> C” and the value, the IntWritable, will always be one, as each line that is processed will only yield a single transition or transversion.
Very simply, for each line of our input file, in this case a VCF, the void map(...)
function above will be called. The magic of hadoop is that it doesn’t matter if that VCF is 100 lines long or 100 million lines long. This class will be distributed to each node where a portion of the file is stored and executed on the lines of the file contained therein.
Each line of the header is skipped by simply returning without writing something to the output context if the line received starts with #
. Then we see a helper class I created for this project to contain the parsing of VCF lines. The relevant parts of the VcfLine class are:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 |
|
The constructor method pulls in a row from a VCF file and parses out each column so we can interrogate the variant in our mapper, finding which transition and or transversion to report. Returning to the Map class, each single nucleotide variation (SNV) is written to the context. This is where the magic happens. We are writing a key/value pair. In this example, the key is the mutation type, “A -> C” for example, and the value will be one. The value is meant to represent a count of the mutations enountered that match the value.
At this point, each SNV is represented as a key value pair in flight between the mapper and the reducer. The void reduce()
method of the reducer class will receive a collection containing all those key/value pairs with identical keys. For the purpose of counting the number of like mutations, these collections will be iterated over and summed up, providing a total count of the number of each mutation type.
1 2 3 4 5 6 7 8 9 10 11 |
|
The last line of the void reduce()
function is vital, this is where the aggregated results are written out to the output directory. In order to inspect the complete project with the setup code, the mapper and reduce, along with the VCF parser, have a look at the github repo.
Compile and Run
Once these components are all put together, go to the root of the project folder where the pom.xml
file lives. From here, run the command mvn install
. This will run for a little while, compiling your java into bytecode and packaging everything into a jar, which should land in the target
subdirectory. This jar is what will need to be sent into the Cloudera VM in order to run the job.
The Cloudera VM
In order to encapsulate the complexity of installing the Hadoop components on your dev machine, grab the Cloudera QuickStart Vm (CDH 4.6), and download it. I am using Virtual Box, but they also provide vmware and KVM versions of the virtual machine, if those suit your setup better. Cloudera also includes some parts of their own making, like Cloudera Manager, which similarly wraps the complexity of administering the services of hadoop. So all you have to do in order to start using these services, is download the vm and start it up. This step saves hours, if not days, of setup time.
Once you have downloaded the VM and started it, go dig around. It should start up with firefox open to a page that links you to Cloudera Manager. Go to CM and click on the “services” menu on the toolbar at the top, then select “all services”. It is possible to stop, start, and restart all the services here. For our purposes, you will need to start, in this order, zookeeper, hdfs, and mapreduce.
I chose to create a shared directory to transfer data and jars between the host system and the guest Cloudera VM. Once the VM is setup and the shared directory created and used, or the jar and vcf data have been scp’d into the guest machine, it is time to run the compiled jar. Once the jar and source data are on the VM, open a terminal or ssh into the VM. The first step to running this example will be to put the source data into HDFS, so that it will be available when the mapreduce job is executed. hadoop fs -mkdir data
then hadoop fs -put data/mydata.vcf
and hadoop fs -mkdir output
should do the trick. Then execute the job by running the command:
1
|
|
At this point, the jar is sent to those nodes that hold chunks of mydata.vcf. Those nodes then run the various compoenents of the mapreduce process and the final result is deposited in /user/cloudera/output. This can be accessed by the command hadoop fs -cat /user/cloudera/output/part-r-00000
, which should produce similar results to those shown below.
Here’s what the results look like.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
|
The sum total of sites is 954600, which matches exactly the number of non-header lines in the input VCF. While this does not prove the correctness of this approach, it certainly suggests that there are no gross errors where data is added or lost. It’s always a good idea to look for ways to check your thinking at each stage of the process. Disproving assumptions can be difficult, but is more likely to result in good work.
I decided to leave in those sites that did not contain variants, X -> .
, so that the information would be present in the results. Again, the right course of action always depends upon the context, but I do like to leave in as much data as possible as far into the process as possible, so that the user can decide if it is relevant or not. There are different records for cases where the reference was a capital letter and when the reference was lower case. This is also information I decided to leave in the results. A lowercase letter represents a reference of the genome which lies in the repeatmaker regions, or regions of low complexity.
I used my own data for this project, which was obtained from 23andme in the raw format and then converted to VCF via the 23andme2vcf conversion script described here.
Conclusion
Do what thou wilt. As mentioned above, bioinformatics as a field is fairly young, and bioinformatics on Hadoop is even younger. The distributed, mapreduce paradigm is a valuable tool. It is not the only tool, but let’s not allow the fact that it doesn’t do everything get in the way of letting Hadoop do something, those things that it does well. With the development of more frameworks and tools for Bioinformatics on Hadoop, more adoption will be possible and it will grow.


We will know lots of incredible facts about the best footballer of all time; Diego Armando Maradona.
Here are the most interesting facts about Diego Maradona:
- - Diego Maradona was born on the edges of Buenos Aires on October 30, 1960.
- - Maradona capped 91 times for Argentina and scored 34 goals.
- - He featured in 4 FIFA World Cup competitions for Argentina.
- - He assisted Boca Juniors to earn the title in 1982 preceding making a transition to Barcelona. Yet, he moved to Napoli in 1984 and assisted them to win their two Serie A championship in 1987 and 1990.
- - He captained his national team on 16 games and holds the record for showing up as skipper of any nation in the FIFA World Cup.
- - Altogether, be that as it may, Maradona featured in World Cup competitions 21 times.
- - In Buenos Aires, On February 27, 1977, Diego Maradona made his first global presentation against Hungary in the Bombonera arena at age 16.
"if I was in a white dress at a wedding and a muddy ball arrived... I would stop it from the chest, without thinking about it”.
Diego Armando Maradona
If you have time, you should read more about this incredible human being on his Wikipedia entry .


Capacitor installs directly into any Ionic project (1.0-4.x+) with a simple npm install
:
ionic start myApp tabs
cd myApp
Select "N" when asked to add Cordova.
You must run npm run build
at least once to create the www
folder:
npm run build
Next, install capacitor into your project:
npm install --save @capacitor/cli @capacitor/core
npx cap init [appName] [appId]
where appName
is the name of your app, and appId
is the domain identifier of your app (ex: com.example.app
).
npx cap add ios
npx cap add android
npx cap open ios
npx cap open android
Every time you perform a build (e.g. npm run build
) that changes your web directory (default: www
), you'll need to copy those changes down to your native projects:
npx cap copy
Ionic Native is supported in Capacitor. Currently, Ionic Native contains only Cordova plugins, so whenever you find an Ionic Native wrapper you'd like to use, install it and then install the corresponding Cordova plugin by running
npm install your-cordova-plugin
npx cap update
See the Cordova guide for more information.


We don't store your
personal information.Ever
Our privacy policy is simple:we don't collect
or share any of your personal information.
Our privacy policy is simple:we don't collect
or share any of your personal information.
We don't store your search history.We therefore have
nothing
to sell to advertisers that track you across
the Internet
Other search engines track your searches even when you're
in private browsing mode.We don't track you-period.


Breaking: Another PSL Club Parts Ways With Head Coach
by Soccer LadumaIt has been confirmed to the Siya crew that Polokwane City have parted ways with their head coach.
As reported on Soccer Laduma yesterday, Zlatko Krmpotic’s immediate future at Rise and Shine has been under much speculation, with sources indicating that the head coach was on thin ice due to the team’s poor run of form in the Absa Premiership.
It has since been confirmed to the Siya crew by an insider that the club and the Serbian head coach have agreed to part ways amicably.
A statement sent to Soccer Laduma by a source close to the coach read;
It is with regret that we announce the departure of Zlatko Krmpotic as the Head Coach of Polokwane City Football Club.
Despite the best efforts of the Club, the Head Coach and all Parties involved with the Club, recent results on the field of play, have, unfortunately, not gone in our favour.
This has prompted the Club and the Head Coach to reconsider the position of Zlatko as the Head Coach of the Club.
In the circumstances, pursuant to a meeting between the Club Chairman, Mr. Johnny Mogaladi and the Head Coach it was agreed, in the best interests of the Club, that the Club and Head Coach part ways in an amicable manner.
Accordingly, the Parties have signed a mutual termination of their Contract of Employment with immediate effect. As of this morning, Zlatko has been relieved of his duties and is no longer the Head Coach of Polokwane City FC.


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UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>Disaster Recovery as a Service Service Scope
About this document
This document explains what is and isn't included in the scope of our Disaster Recovery as a Service service.
Disaster Recovery as a Service provides a seamless way to failover from your own data centre to the UKCloud for VMware service. You can use this service as part of your own business continuity or disaster recovery processes.
With this service, you're charged for the amount of data that you're protecting and are only charged for VMs when they are powered on during a live or test failover.
About Disaster Recovery as a Service
Disaster Recovery as a Service is a powerful, self-service replication and recovery tool that can improve organisational resilience and enable seamless migration of applications between your local VMware or Hyper-V powered data centre and UKCloud's disaster recovery enabled regions. This means that, in the event of a VM being compromised such as a local hardware failure, a power outage or security incident, such as theft or WAN connectivity disruption, you can quickly recover your VMs to the UKCloud platform and ensure that the disruption to your service is minimised.
Once configured, you can protect VMs by adding them to a virtual protection group (VPG). Each VM in the VPG is synchronised to your recovery site on UKCloud, and a journal is created. After this initial sync, each subsequent write operation to the VM is processed as normal on your site and a copy is asynchronously sent to the recovery site and written to the journal.
When the specified journal history length is reached (for example, 14 days), as new journal entries are created, older entries are written to the recovery VM's virtual disks.
Every few seconds, a checkpoint is written to every journal for each VM in the VPG to ensure crash-consistency between the VMs. If you need to recover your VMs, you select a checkpoint to recover to. For example, in the case of a virus you could recover to a checkpoint from before the virus attack.
During recovery, the VMs are created on the recovery site and the recovery disks for each VM are attached to the recovered VM. Information in the journal is then promoted to the VM to bring it up to the date and time of the selected checkpoint.
Note that each VPG recovered into the recovery site will appear as a vApp within UKCloud.
Customers Responsibilities
Given the nature of this service, with part of the solution hosted on your site, you are responsible for the following:
Your environment must meet the minimum specification required by the solution (that you can find here). This covers software versions, limitations around the types of VMs that can be protected and the minimum WAN connectivity speeds
Installation and configuration of Zerto components including the ZVM (Zerto Virtual Manager) and VRA (Virtual Replication Appliance)
Creation of a VPN to connect to UKCloud
Ensuring that the local instances of Zerto are upgraded to remain compatible with the current version utilised by UKCloud. You will be notified when the version is upgraded on the UKCloud platform
Local network tuning and firewall configurations
We'll work with you to help you identify if any issues encountered are within your estate or on the UKCloud platform.
You are responsible for troubleshooting issues within your own estate.
If you require support managing your local Zerto installation, we have a wide ecosystem of partners that can assist.
Frequency and timing
UKCloud's Disaster Recovery as a Service is designed to provide recovery points that are only seconds behind the running VM.
Our standard profile provides:
Target RPO of 5 minutes
Journal history of 2, 7, 14 or 28 days
At present, we've not enabled the ability for you to configure custom profiles.
If the target RPO is exceeded, you and UKCloud will be notified via the Zerto Self-Service Portal (ZSSP).
Factors that can affect the RPO are:
Rate of change of the data on a VM. VMs with a large rate of change in the data will potentially achieve a slightly longer RPO than VMs that have a lower rate of change
Any network latency or storage performance challenges. We monitor our estate to ensure that network and storage performance are in line with platform expectations. Any deviations are alerted to our technical teams to resolve.
WAN network performance. Low throughput WAN connections are unlikely to be able to transfer large amounts of data to UKCloud. This can make the initial sync challenging for larger VMs.
Additionally, the service raises an alert if the size of a VM's journal exceeds 75% of the original VM. This alert helps to understand if your solution is adequately protected.
Disaster Recovery as a Service captures data only while a VM is powered on. If a VM is deleted in VMware Cloud Director, it will IMMEDIATELY delete the associated journal.
What SLA do you offer on Disaster Recovery as a Service?
We don't offer an SLA around the VMs protected by our Disaster Recovery as a Service. However, the status of VMs is monitored continuously, and the UKCloud support team investigates all failures or service degradation.
Other
The service is not backed by Service Credits.
On occasion, planned maintenance may disrupt the operation of the Disaster Recovery as a Service. This may lead to the service being unavailable, or a temporary increase to the RPO you may be able to achieve on the platform.
If there's a potential disruption, we'll highlight this to you via the UKCloud Service Status page.
Disaster Recovery as a Service management
You can self-manage your protected environment via the ZSSP. This portal enables you to:
Configure virtual protection groups
Opt VMs into the VPGs
Monitor the performance of your platform
View the current RPO of your applications and current available history
Perform test failovers
Perform live failovers
We've disabled some areas of the ZSSP as they're for services we don't presently support. These include:
- Backup to external systems. At present, you cannot export your journal to external backup targets (such as UKCloud Cloud Storage). We've identified a compliance issue with this solution, which we're working to address. Until this is addressed, the feature will remain unavailable.
Additionally, the following scenarios cannot be protected:
VMs with virtual disks with individual disks greater than 3TB
VMs that are clustered using shared virtual disks
Alerting and reporting
The ZSSP provides live real-time reporting of your solution and the current level of protection being provided to your VMs.
The portal also raises alerts if the target RPO of your VPG exceed the threshold, or if the associated journal size grows beyond the expected size. In both these scenarios, UKCloud also receives a platform monitoring alert and will investigate the cause.
Additionally, the ZSSP provides an activity log of the actions against a particular VM and a list of any errors captured on the platform.
Failover
The ZSSP enables you to failover to your recovery site.
When this is initiated, Disaster Recovery as a Service fails over the VMs inside a VPG, restoring the data and state of the VMs to the desired point from the journal. Disaster Recovery as a Service can also replicate any internal networking rules.
You need to:
Manually configure external networking configurations, including configuring VPNs and making any external firewall or DNS changes
Check for application consistency
Licensing
UKCloud provides licensing for VMs protected by Zerto that utilise UKCloud as their recovery site. At present, you cannot bring your own licensing.
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


False Alarm of Broken Gas Pipe 24 Nov 2019, 18:34 by Roger Broken gas pipe at 402 North Milpas. SB City Fire Department is responding to the scene.


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My name is Sedef Kadifeci. I am studying Computer Engineering at Hasan Kalyoncu University. I am 21 years old. I am studying for developing software on different programming language and learning more things. I am producing projects on VR Game, 3D or 2D Game while using the Unity Platform and C# programming language.
I have an experienced in developing WebSites. I did an volunteer internship for 3 month at a software company on my first year summer holiday. While I doing internship,I learned some programming languages such as Asp.net, c#. I made a basic and small website for the company with using programming languages I learned. It was so educational internship for me.
I joined to gastronomy hackathon that organized by my department. We divided into group with my friends and we identified project that we will do. We studied on our project along 48 hours. We did a game and we made a presentation our project to the jury. We became the third with our project. This hackathon was so educational and beneficial experince for me.I also joined to one more Global GameJam Hackathon. We again did a game and it was the good educational experience for me.
I have some kinds of interests such as sport, art, gaming, music, and pet-dog and cat care. I love pets and dogs so much. , I enjoy most of my time being outdoors. I like long travelling and wandering different places. Also I like the experience new cultures and environments,especially if my role would involve working with foreign colleagues, partners or clientscan really help my resume shine.
For my department, I like the coding too. I like developing projects, software, or mobile-web applications. I like learning new things and applying something about these terms.
Certification - Hasan Kalyoncu University s- Global GameJam Hackathon 2018


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JavaScript + HTML + CSS
Recreation time .....
Mouseover Race
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- unblacklistUser(String, String) - Method in class com.example.bettertrialbook.dal.ExperimentDAL
-
Unblacklists user and removes them from experiment's Blacklist array
- unsubscribeExperiment(String, String) - Method in class com.example.bettertrialbook.dal.UserDAL
-
Removes an experiment from a user's subscriptions
- updateEmail() - Method in class com.example.bettertrialbook.UserTest
-
- updatePhone() - Method in class com.example.bettertrialbook.UserTest
-
- updateQuestion(String, Question) - Method in class com.example.bettertrialbook.dal.ForumDAL
-
Updates a question in the database
- updateUsername() - Method in class com.example.bettertrialbook.UserTest
-
- useAppContext() - Method in class com.example.bettertrialbook.ExampleInstrumentedTest
-
- useEmulator() - Static method in class com.example.bettertrialbook.dal.Firestore
-
All subsequent calls to getInstance will return a FirebaseFirestore that uses the local emulator.
- User - Class in com.example.bettertrialbook.models
-
User object
Represents the app's Users with a username, ID, and contact info
- User(String) - Constructor for class com.example.bettertrialbook.models.User
-
Constructs a User object with an ID, and other fields as empty strings
- User(Parcel) - Constructor for class com.example.bettertrialbook.models.User
-
- UserDAL - Class in com.example.bettertrialbook.dal
-
Data Access Layer
Interacts with the Users collection in database
- UserDAL() - Constructor for class com.example.bettertrialbook.dal.UserDAL
-
Access database's "Users" collection
- UserDAL.FindUserByIDCallback - Interface in com.example.bettertrialbook.dal
-
Callback after finding user by their id
- UserDAL.GetSubscribedCallback - Interface in com.example.bettertrialbook.dal
-
Callback after retrieving all subscribed experiments for a user
- UserDAL.IsSubscribedCallback - Interface in com.example.bettertrialbook.dal
-
Callback after checking if user is subscribed to a particualr experiment
- UserDAL.UsernameTakenCallback - Interface in com.example.bettertrialbook.dal
-
Callback after comparing new username to existing usernames
- userEditInfo() - Method in class com.example.bettertrialbook.profile.ProfileViewActivity
-
Calls edit fragment
- userNameTaken(String, UserDAL.UsernameTakenCallback) - Method in class com.example.bettertrialbook.dal.UserDAL
-
Takes username as input Searches database to see if username already taken
Returns true or false in callback
- userSignUp() - Method in class com.example.bettertrialbook.profile.ProfileViewActivity
-
Calls sign up activity, Sends user object to sign up to update
Expects updated user object as return
- UserTest - Class in com.example.bettertrialbook
-
Unit testing for User functionality
If parcelable causes problems: https://stackoverflow.com/a/54873453
- UserTest() - Constructor for class com.example.bettertrialbook.UserTest
-


Game Test File Here
Dynamic UI Module Test Here
Documentation
Game
Player
Deck
Card
Example Games
Settlers of Catan
Monopoly


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IT engineering or Information Technology engineering is a broad definition that can apply to software engineering, hardware engineering, integration of hardware and software or validation and verification of hardware and software components. An IT engineer is equally responsible for hardware and software as well as their integration validation and testing.
IT industry is one of the fast growing fields in India. Fortunately people from other departments are also attracted to IT. Perhaps because of prospects of high salary and the exquisite offer provided. IT has a huge scope because it requires large technical manpower. Hence, many colleges and various departments related to this field are being encouraged. It is to be found that more than 2 million jobs are available yearly in IT field.
A Bachelor of Information Technology (abbreviations BIT, BInfTech, B.Tech(IT) or BE(IT)) is an undergraduate academic degree that generally requires three to five years of study.It is a sub branch of Computer Engineering. While the degree has a major focus on computers and technology, it differs from a Computer Science degree in that students are also expected to study management and information science, and there are reduced requirements for mathematics. A degree in computer science can be expected to concentrate on the scientific aspects of computing, while a degree in information technology can be expected to concentrate on the business and communication applications of computing. There is more emphasis on these two areas in the e-commerce, e-business and business information technology undergraduate courses.
Top Four Most Important Skills Employers Look for in IT Specialists


A list of Submissions will be shown here. To narrow down the list of Submissions, you can can change the view (e.g. Capital Plan - Draft, Expenditure Plan - Draft) and/or input filters by clicking on the columns.


A Nxus module for sending emails through different services.
> npm install @nxus/mailer --save
app.get('mailer').service(myService)
Each service is expected to implement a method called sendMessage
with the signature
sendMessage(to, from, subject, content, opts) {
...
}
app.get('mailer').send('to@address', 'from@address', "My subject", "Body content", {some: opts})
The opts hash can be used to send service specific opts back to the mail handler. For example:
// Mandrill opts
app.get('mailer').send('to@address', 'from@address', "My subject", "Body content", { async: true })
The main Mailer class.
#service(service)
Register a service. See MandrillService for an example.
Register a service. See MandrillService for an example.
a Class or callable that implements a method called sendMessage
.
A default service for mailing with Mandrill.


Even more websites all about website templates on Just Web Templates.
Music Categories
If you're looking for beautiful and professionally made templates you can find them at Template Beauty.
You can remove any link to our websites from this template you're free to use the template without linking back to us.


Black Friday Instant Pot deal: 6-in-1 programmable cooker gets 31% price cut
by Becca CaddyBlack Friday Instant Pot deal: 6-in-1 programmable cooker gets 31% price cut
Save on this multi-cooker, which combines 6 appliances in 1
Image Credit: Instant Pot (Image credit: Instant Pot)
It can be easy to get swept up in the Black Friday 2019 sales and buy lots of things you don't need. That's why we're sharing this practical and affordable deal for the Instant Pot Lux V3 6-in-1 Multi-Use Programmable Pressure Cooker.
This multi-purposes cooker from Instant Pot is a slow cooker, pressure cooker, rice cooker, steamer, warmer and sauté cooker all in one. It has simple button controls and lots of different programs.
To make it even smarter, you can add the Instant Pot skill for Alexa and get access to guided cooking, recipes and more.
It has a built-in microprocessor, which monitors pressure, temperature, keeps time, adjusts heat intensity and duration too, in order to make sure your food is perfectly prepared.
TechRadar is scouring every retailer and rounding up all the top deals over the Black Friday period, and we’ve put all the best Black Friday deals and Cyber Monday deals in easy-to-navigate articles to help you find the bargains you’re looking for.
If you like the idea of a new Instant Pot for your kitchen, check out our guide to the best Instant Pot sales and deals for Black Friday 2019 .


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Bulk Add Data Here
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Add Data Into DOM
Add Data Into DOM
Add Data Via JQuery
Append Data Via JQuery
Append Data By Class


Young sparkles in World Seniors Chess tilt, other Filipinos faring well
Angelo Young vaults into a three-way tie for the lead in the +50 Open division as Rogelio Antonio Jr and Cesar Caturla look to rise through the ranks
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--- name: home.account url: account controller: AuthCtrl as vm ---
Email:
Display name:
Session expires:


zeisstopnm(1) zeisstopnm(1) NAME zeisstopnm - convert a Zeiss confocal file into a portable anymap SYNOPSIS zeisstopnm [-pgm | -ppm] [zeissfile] DESCRIPTION Reads a Zeiss confocal file as input. Produces a portable anymap as out‐ put. The type of the output file depends on the input file - if it's grayscale a pgm file, else a ppm file will be produced. The program tells you which type it is writing. OPTIONS -pgm Force the output to be a pgm file. -ppm Force the output to be a ppm file. SEE ALSO pnm(5) AUTHOR Copyright (C) 1993 by Oliver Trepte 15 June 1993 zeisstopnm(1)


statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. The online documentation is hosted at statsmodels.org.
Introduction¶
statsmodels
supports specifying models using R-style formulas and pandas
DataFrames.
Here is a simple example using ordinary least squares:
In [1]: import numpy as np
In [2]: import statsmodels.api as sm
In [3]: import statsmodels.formula.api as smf
# Load data
In [4]: dat = sm.datasets.get_rdataset("Guerry", "HistData").data
# Fit regression model (using the natural log of one of the regressors)
In [5]: results = smf.ols('Lottery ~ Literacy + np.log(Pop1831)', data=dat).fit()
# Inspect the results
In [6]: print(results.summary())
OLS Regression Results
==============================================================================
Dep. Variable: Lottery R-squared: 0.348
Model: OLS Adj. R-squared: 0.333
Method: Least Squares F-statistic: 22.20
Date: Fri, 21 Feb 2020 Prob (F-statistic): 1.90e-08
Time: 13:59:15 Log-Likelihood: -379.82
No. Observations: 86 AIC: 765.6
Df Residuals: 83 BIC: 773.0
Df Model: 2
Covariance Type: nonrobust
===================================================================================
coef std err t P>|t| [0.025 0.975]
-----------------------------------------------------------------------------------
Intercept 246.4341 35.233 6.995 0.000 176.358 316.510
Literacy -0.4889 0.128 -3.832 0.000 -0.743 -0.235
np.log(Pop1831) -31.3114 5.977 -5.239 0.000 -43.199 -19.424
==============================================================================
Omnibus: 3.713 Durbin-Watson: 2.019
Prob(Omnibus): 0.156 Jarque-Bera (JB): 3.394
Skew: -0.487 Prob(JB): 0.183
Kurtosis: 3.003 Cond. No. 702.
==============================================================================
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
You can also use numpy
arrays instead of formulas:
In [7]: import numpy as np
In [8]: import statsmodels.api as sm
# Generate artificial data (2 regressors + constant)
In [9]: nobs = 100
In [10]: X = np.random.random((nobs, 2))
In [11]: X = sm.add_constant(X)
In [12]: beta = [1, .1, .5]
In [13]: e = np.random.random(nobs)
In [14]: y = np.dot(X, beta) + e
# Fit regression model
In [15]: results = sm.OLS(y, X).fit()
# Inspect the results
In [16]: print(results.summary())
OLS Regression Results
==============================================================================
Dep. Variable: y R-squared: 0.337
Model: OLS Adj. R-squared: 0.323
Method: Least Squares F-statistic: 24.66
Date: Fri, 21 Feb 2020 Prob (F-statistic): 2.19e-09
Time: 13:59:15 Log-Likelihood: -12.084
No. Observations: 100 AIC: 30.17
Df Residuals: 97 BIC: 37.98
Df Model: 2
Covariance Type: nonrobust
==============================================================================
coef std err t P>|t| [0.025 0.975]
------------------------------------------------------------------------------
const 1.4774 0.072 20.651 0.000 1.335 1.619
x1 0.0900 0.098 0.921 0.359 -0.104 0.284
x2 0.6260 0.090 6.960 0.000 0.447 0.804
==============================================================================
Omnibus: 26.611 Durbin-Watson: 2.322
Prob(Omnibus): 0.000 Jarque-Bera (JB): 5.863
Skew: -0.155 Prob(JB): 0.0533
Kurtosis: 1.855 Cond. No. 5.18
==============================================================================
Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings.
Citation¶
Please use following citation to cite statsmodels in scientific publications:
Seabold, Skipper, and Josef Perktold. “statsmodels: Econometric and statistical modeling with python.” Proceedings of the 9th Python in Science Conference. 2010.
Bibtex entry:
@inproceedings{seabold2010statsmodels,
title={statsmodels: Econometric and statistical modeling with python},
author={Seabold, Skipper and Perktold, Josef},
booktitle={9th Python in Science Conference},
year={2010},
}


Court vacates interim forfeiture order against BCDA boss
Bolaji Ogundele, Abuja
A Federal High Court, sitting in Kaduna, Kaduna State, has vacated an order of interim forfeiture, earlier granted against the Executive Secretary of the Border Communities Development Agency (BCDA), Captain Junaid Abdullahi.
The Assets Management Company of Nigeria(AMCON) had filed a suit, with file number FHC/KD/CS/76/2018, against First Aviation Limited and Abdullahi over a loan advance the company obtained from a bank that assets management company had taken over.
However, Abdullahi, who was one a leading figure in the company before his appointment to the BCDA, was already out of the organisation before the AMCON started its litigation against the company.
He told The Nation that the inclusion of his name as a party to the legal matter was an error that was already being corrected.
On Tuesday, November 12, 2019, the Federal High Court in Kaduna, presided over by Justice Z.B Abubakar, granted a relief sought by the Plaintiff, AMCON, the court vacated the order of interim forfeiture earlier granted against him.
READ ALSO: Buhari appoints new director for Border Communities Development Agency
According to the court order, a copy of which was made available to The Nation in Abuja, the court said “it is hereby ordered as follows: The term of Settlement dated 7th November, 2019, and filed on the same date, is entered as the Final Judgment of this Court in this suit.
“The Order Ex-parte made on 3rd October, 2019 is hereby set aside”, the court said.
Reacting to the development, Abdullahi, in a terse response, said he had no reason to be part of the court matter in the first instance, adding the he was no longer part of First Aviation Limited and expressed confidence that the company can manage itsaffairs.
“The Federal High Court sitting in Kaduna has vacated the Interim Forfeiture order against my property and bank accounts granted to AMCON via a motion ex parte.
“I am no longer on the board of First Aviation Limited and I have no further interest in the matter. First Aviation Limited as a corporate entity is quite capable of managing it’s own affairs,” Abdullahi said.


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|
| OpenAFP.Prelude.Exts | | Portability | non-portable (GHC-only) | | Stability | experimental | | Maintainer |<EMAIL_ADDRESS>|
|
|
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|
|
| Description |
| PreludeExts from the Haskell Wiki under the BSD license.
|
|
| Synopsis |
|
|
|
| Documentation |
|
| rmap :: [a -> b] -> a -> [b] |
| Applies a bunch of functions to a value. |
|
| onUserError :: IO a -> (String -> IO a) -> IO a |
|
| type RE = String |
|
| (=~) :: String -> String -> Bool |
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| splitRegexWithMatches :: RE -> String -> ([String], [String]) |
|
| splitBy :: (a -> Bool) -> [a] -> [[a]] |
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| lower :: String -> String |
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| upper :: String -> String |
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| joinList |
| :: [a] | Glue to join with | | -> [[a]] | Elements to glue together | | -> [a] | Result: glued-together list | Join lists with the given glue elements. Example:
joinList ", " ["one","two","three"] ===> "one, two, three" |
|
|
| split |
| :: Eq a | | | => [a] | Glue that holds pieces together | | -> [a] | List to break into pieces | | -> [[a]] | Result: list of pieces | Split a list into pieces that were held together by glue. Example:
split ", " "one, two, three" ===> ["one","two","three"] |
|
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| breakOnGlue |
| :: Eq a | | | => [a] | Glue that holds pieces together | | -> [a] | List from which to break off a piece | | -> ([a], [a]) | Result: (first piece, glue ++ rest of list) | Break off the first piece of a list held together by glue,
leaving the glue attached to the remainder of the list. Example:
breakOnGlue ", " "one, two, three" ===> ("one", ", two, three") |
|
|
| split_first_word :: String -> (String, String) |
|
| Produced by Haddock version ADDOCK_VERSION |


The Crown reportedly finds its next Queen
Season three of the regal drama is on Netflix now.
Imelda Staunton will reportedly replace Olivia Colman as the Queen in Netflix’s regal drama The Crown.
The 63-year-old actress will take the role for seasons five and six of the critically acclaimed show, according to the Daily Mail.
Colman made her debut as the Queen on Sunday, when all 10 episodes of The Crown season three were made available on Netflix.
She will reprise the role when the fourth instalment arrives next year. Claire Foy played the Queen in the first two seasons of The Crown.
Staunton received a best actress Oscar nomination for her lead role in the 2004 drama Vera Drake, and is also known for playing Dolores Umbridge in the Harry Potter films.
If she is cast as the Queen, it is likely her spell on The Crown would feature several royal crises, including the Prince of Wales’s split from Diana, Princess of Wales.
The Crown, created by Peter Morgan, first aired in 2016. It originally starred Foy in the lead role, Matt Smith as the Duke of Edinburgh and Vanessa Kirby as Princess Margaret.
Producers opted to refresh the cast when dealing with a later time period in season three, rather than using technology to digitally age the actors.
Tobias Menzies and Helena Bonham Carter are currently playing Philip and Princess Margaret, respectively.
The Crown is streaming on Netflix now.


Pulsar is a concurrent framework library for the python programming language. It can be used to handle asynchronous applications such as HTTP servers, RPC servers, task queues and much more.


{{ business.business_name}}
Home
(current)
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Tonight
Contact
Tonight @ {{ business.business_name }}
Find out whats currently popping at {{ business.business_name }}
Current happening
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Tonight's specials
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A delightful port described by some as a "Little Venice" with restaurants, a beach, swimming and lots more.
Position 27° 48'58"N, 15° 45'46"W (harbour entrance)
The port monitors VHF channel 12 at all times, and uses channel 6 as a working channel. Outside of office hours, there is a watchman patrolling the marina with a VHF radio tuned to channel 6.
Arriving boats should come alongside the reception dock on the starboard side at the entrance to the marina. Many of the moorings on the pontoons are privately owned, but the 190m long outer wharf is reserved for visitors. The marina has a capacity of just over 200 berths, of which 50% are available to visitors in summer and 20% in winter, the busier season.
As Mogan is a popular port among transatlantic voyagers, those who wish to leave their boats here should reserve a place well in advance, especially during the busy season from the end of October to February.
All pontoon berths have water and electricity, also telephone connections and even a television and video link. There are showers and toilets on the outer quay reserved for visitors, for which a key must be obtained from the marina office. There are also showers and toilets on the ground floor of the control tower. A weather synopsis is posted every day on the notice board outside the marina office.
Mogan operates its own inshore rescue service, the only such service on Gran Canaria's south coast, and has two large inflatable boats.
There is an anchorage east of the marina entrance which is occasionally used by cruising boats for short periods.


Bad news for Man City as Guardiola confirms injury layoff for key figure
by Ron CarneMan City boss Pep Guardiola has conceded that he’ll have to make do without talisman Sergio Aguero after he picked up an injury at the weekend.
The reigning Premier League champions secured a 2-1 win over Chelsea at the Etihad on Saturday, responding to Liverpool’s win earlier in the day to keep themselves nine points adrift of the leaders.
However, it appears as though it came at a price as after limping off in the second half, Aguero now faces a spell on the sidelines, according to his coach.
As reported by Sky Sports, Guardiola has suggested that the Argentine international will be ruled out of action for a “few weeks”, which is a major blow when considering just how influential their frontman continues to be for the team.
The 31-year-old has bagged 13 goals in 16 games so far this season, but the pressure will now shift to Gabriel Jesus to step up and deliver in his absence, while there are big games coming up for City too.
While they’ll hope that Aguero can recover in time for their hectic festive period, the report from Sky Sports above suggests that he will sit out the Manchester derby against United on December 7.
Before that, they face Shakhtar Donetsk, Newcastle United and Burnley, and so it will hurt them to lose Aguero as they look to continue to rack up wins across competitions.
For now though, they will certainly be hoping that Aguero doesn’t suffer any setbacks during his touted recovery timeline, as given it’s a muscular injury, Man City will have to be cautious and avoid rushing him back as it could easily be aggravated if he returns too soon.


T
- type of the eventpublic class EventImpl<T>
extends java.lang.Object
// Class exposing some event.
class MyExposingClass
{
// Exposed to a user for subscribing.
public Event<TMyEvent> calculationCompleted()
{
// Returns event, so that the user can only subscribe or unsubscribe.
// Note: User of the event cannot raise the event.
return myCalculationCompletedEvent.getApi();
}
...
private void someMethod()
{
// Raise the event.
myCalculationCompletedEvent.raise(this, new TMyEvent(...));
}
// Declaring the event.
private EventImpl<TMyEvent> myCalculationCompletedEvent = new EventImpl<TMyEvent>();
}
...
// Class consuming the event.
class MyConsumingClass
{
// Subscribing for the event.
private void someMethod()
{
myExposingClass.subscribe(myOnCalculationCompleted);
}
// Method processing the event.
private void onCalculationCompleted(object sender, TMyEvent e)
{
...
}
// Declaring the event handler.
private EventHandler<TMyEvent> myOnCalculationCompleted = new EventHandler<TMyEvent>()
{
public void onEvent(Object x, TMyEvent y)
{
onCalculationCompleted(x, y);
}
}
}
| Constructor and Description |
|---|
EventImpl() |
| Modifier and Type | Method and Description |
|---|---|
Event<T> |
getApi()
Returns event for the user.
|
boolean |
isSubscribed()
REturns true if somebody is subscribe.
|
void |
raise(java.lang.Object sender,
T eventArgs)
Raises the event to all subscribers.
|
public void raise(java.lang.Object sender, T eventArgs) throws java.lang.Exception
sender
- reference to the sendereventArgs
- event parameterjava.lang.Exception
public Event<T> getApi()
public boolean isSubscribed()


27 January 1997
Disease Outbreak Reported
As of 27 January the total number of cases reported in the outbreak which started in November 1997 was 739 with 121 deaths (CFR 16.3%) - an increase of 217 cases and 24 deaths since 16 January. Most cases occurred in the town of Dapaong, Savanes District in northern Togo. The population of Dapaong is 206,000, and that of the whole of Savanes District 300,000. WHO has begun procurement and provision of vaccine, oily chloramphenicol and injection material.


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