- The special characters of Kwak̓wala have been assigned to the number keys. To type the numerals, hold down the Right-Alt or Option key then press the appropriate number key. The Numeric keypad on the right side of many keyoards keep its original numbers
- To type the apostrophe accent use the Apostrophe key ' — k̓ is typed k then Apostrophe '
- The original values of the punctuation keys can be typed by holding down the Right-Alt or Option key. The Semicolon ; is typed Right-Alt+Semicolon (Windows) Option+Semicolon (Mac).
- Opening and closing quotes. For Mac users, Right-Alt is either of the Option Keys.
- single: ‘ Left-Bracket — ’ Right-Bracket
- double: “ Shift+Left-Bracket — ” Shift+Right-Bracket
- single ‹ Right-Alt+Shift+9 — › Right-Alt+Shift+0
- double « Right-Alt+9 — » Right-Alt+0
Unicode Fonts
The following fonts have been installed on your computer: Aboriginal Sans, Aboriginal Serif. Please use these fonts when typing in your language as they have been specially built to represent your language as accurately as possible.
|


My long-term goal is to be a Business Analyst and the reason I am doing web development is to increase my knowledge in this field. The knowledge I will gain with this course will help me have meaningful discussion with the developers about the solutions.
Public speaking and communication are the two human skills I would like to see develop at EDA.
Friendly, Supportive, Trustworthy, Organised, Diligent and love to learn new things. Commitments means a lot to me.
Self-critical and very emotional.
The key to manage workload at EDA for me is ‘Time management’. I have school going kids and they are a priority; however, I have family support and I can rely on them. Therefore, I believe that I can manage my time and commitments effectively.
Another aspect of handling workload is to do activities to destress myself such as breathing exercise or going for a walk. Learning something new is always stressful and challenging for me therefore, I have to destress myself from time to time.
Google is my first choice as well as relevant documentation such as Git documentation or CSS/HTML References. However, if still in doubt, then I will ask my facilitator and also others learners via slack. I also have help at home and some of my friends are also familiar with the technology.
Timely response, availability, guidance


/ Web Workers / Terminate
Start
code
const worker = new Worker('index.worker.js'); worker.terminate();


{% extends 'base.html' %} {% block content %} {% include 'sidebar.html' %} {% include 'nav.html' %}
Most of the NI MLAs and MPs are active on Twitter, so tracking this activity can provide some insight into their political outlook, and their engagement with the public and their colleagues. Tweets are collected weekly, starting from July 2020.
These are the most active politicians on Twitter, by total tweets in the past month.
This plot shows the politicians with the biggest impact on Twitter, as measured by the average number of retweets received by each of their original tweets in the past month .
This network plot shows how 'connected' the politicians are to one another, measured through Twitter retweets, since 1 July 2020. Connections are drawn in both directions (giving and receiving retweets), but you can hover on a politician to show only the connections for retweets that they received from others. Thicker connecting lines mean more retweets.
This plot shows the politicians whose tweets (including retweets) scored highest and lowest, on average, for positive sentiment in the past month.
This plot positions tweeters relative to one another based on the content of their tweets: those close together tend to tweet 'about the same things', in a simplified sense. Circles are sized proportional to number of tweets . On web, click a circle to go to the individual's page.
Artwork by Ellistration
{% endblock %} {% block other_js %} {% endblock %}


Tory lead over Labour narrows after manifesto launch
Support for the Tories has slipped in a new election opinion poll released after the party’s official manifesto launch.
The Survation poll put the prime minister’s party one point down on its previous result, with 41% of respondents saying they would vote Conservative compared with 30% for Labour.
It means the gap between the top two parties has narrowed by three points according to Survation, who polled voters between November 20 and 23.
Survation surveyed 1,010 adults by telephone, asking for their voting intention in the poll conducted for Good Morning Britain.
Labour rose by two points from the company’s first poll one week earlier, with the pro-EU Liberal Democrats up one point at 15% and the Brexit Party unchanged on 5%.
According to the Britain Elects live tracker, which calculates an average based on data from various polling companies, the Tories still have a comfortable 13 point average lead in the polls.
A key policy in the Conservative party manifesto – launched by Boris Johnson in Telford on Sunday – has been slammed as ‘deceit’ by Labour.
Advertisement Advertisement
The PM has promised to deliver 50,000 more nurses for the NHS but it has been revealed that nearly half of them are already working for the health service.
Mr Johnson’s recruitment pledge was questioned when it emerged 18,500 of the 50,000 promised jobs are existing nurses who the government hopes to persuade to remain in the workforce.
The pledge also included hiring 12,500 foreign nurses who will be recruited from abroad to help plug the existing vacancy gap, which currently stands at more than 43,000.
Labour pointed out only 19,000 posts would actually be filled by brand-new nurse trainees.
Shadow health secretary Jonathan Ashworth said: ‘The Conservatives’ claim on nurses is frankly deceitful – the sums simply don’t add up.
‘First we had Johnson’s fake 40 new hospitals, now we have his fake 50,000 extra nurses.’
Meanwhile Labour have been criticised for promising to spend vast sums of money while only hiking taxes for the top 5% of earners.
The party has been criticised by the director of the Institute for Fiscal Studies over its promise to compensate Waspi women.
The pledge did not feature in the party’s manifesto and would have to be paid for by adding to the UK’s £1.8 trillion debt, shadow chancellor John McDonnell revealed on Sunday.
It takes Labour’s annual spending splurge to more than £97 billion and means their manifesto promises spending £32 for every £1 extra spent by the Tories.
Speaking on BBC Radio 4’s Today Programme, Paul Johnson said the policy’s estimated cost is ‘a very, very large sum of money indeed’.
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


Prefix for environment variables.
const Prefix = "ORDERER"
Defaults carries the default orderer configuration values.
var Defaults = TopLevel{ General: General{ LedgerType: "file", ListenAddress: "<IP_ADDRESS>", ListenPort: 7050, GenesisMethod: "provisional", GenesisProfile: "SampleSingleMSPSolo", SystemChannel: "test-system-channel-name", GenesisFile: "genesisblock", Profile: Profile{ Enabled: false, Address: "<IP_ADDRESS>:6060", }, Cluster: Cluster{ ReplicationMaxRetries: 12, RPCTimeout: time.Second * 7, DialTimeout: time.Second * 5, ReplicationBufferSize: 20971520, SendBufferSize: 10, ReplicationBackgroundRefreshInterval: time.Minute * 5, ReplicationRetryTimeout: time.Second * 5, ReplicationPullTimeout: time.Second * 5, CertExpirationWarningThreshold: time.Hour * 24 * 7, }, LocalMSPDir: "msp", LocalMSPID: "SampleOrg", BCCSP: bccsp.GetDefaultOpts(), Authentication: Authentication{ TimeWindow: time.Duration(15 * time.Minute), }, }, RAMLedger: RAMLedger{ HistorySize: 10000, }, FileLedger: FileLedger{ Location: "/var/hyperledger/production/orderer", Prefix: "hyperledger-fabric-ordererledger", }, Kafka: Kafka{ Retry: Retry{ ShortInterval: 1 * time.Minute, ShortTotal: 10 * time.Minute, LongInterval: 10 * time.Minute, LongTotal: 12 * time.Hour, NetworkTimeouts: NetworkTimeouts{ DialTimeout: 30 * time.Second, ReadTimeout: 30 * time.Second, WriteTimeout: 30 * time.Second, }, Metadata: Metadata{ RetryBackoff: 250 * time.Millisecond, RetryMax: 3, }, Producer: Producer{ RetryBackoff: 100 * time.Millisecond, RetryMax: 3, }, Consumer: Consumer{ RetryBackoff: 2 * time.Second, }, }, Verbose: false, Version: sarama.V0_10_2_0, TLS: TLS{ Enabled: false, }, Topic: Topic{ ReplicationFactor: 3, }, }, Debug: Debug{ BroadcastTraceDir: "", DeliverTraceDir: "", }, Operations: Operations{ ListenAddress: "<IP_ADDRESS>:0", }, Metrics: Metrics{ Provider: "disabled", }, }
Authentication contains configuration parameters related to authenticating client messages.
type Authentication struct { TimeWindow time.Duration NoExpirationChecks bool }
type Cluster struct { ListenAddress string ListenPort uint16 ServerCertificate string ServerPrivateKey string ClientCertificate string ClientPrivateKey string RootCAs []string DialTimeout time.Duration RPCTimeout time.Duration ReplicationBufferSize int ReplicationPullTimeout time.Duration ReplicationRetryTimeout time.Duration ReplicationBackgroundRefreshInterval time.Duration ReplicationMaxRetries int SendBufferSize int CertExpirationWarningThreshold time.Duration TLSHandshakeTimeShift time.Duration }
Consumer contains configuration for the consumer's retries when failing to read from a Kafa partition.
type Consumer struct { RetryBackoff time.Duration }
Debug contains configuration for the orderer's debug parameters.
type Debug struct { BroadcastTraceDir string DeliverTraceDir string }
FileLedger contains configuration for the file-based ledger.
type FileLedger struct { Location string Prefix string }
General contains config which should be common among all orderer types.
type General struct { LedgerType string ListenAddress string ListenPort uint16 TLS TLS Cluster Cluster Keepalive Keepalive ConnectionTimeout time.Duration GenesisMethod string GenesisProfile string SystemChannel string GenesisFile string Profile Profile LocalMSPDir string LocalMSPID string BCCSP *bccsp.FactoryOpts Authentication Authentication }
Kafka contains configuration for the Kafka-based orderer.
type Kafka struct { Retry Retry Verbose bool Version sarama.KafkaVersion // TODO Move this to global config TLS TLS SASLPlain SASLPlain Topic Topic }
Keepalive contains configuration for gRPC servers.
type Keepalive struct { ServerMinInterval time.Duration ServerInterval time.Duration ServerTimeout time.Duration }
Metadata contains configuration for the metadata requests to the Kafka cluster.
type Metadata struct { RetryMax int RetryBackoff time.Duration }
Operations confiures the metrics provider for the orderer.
type Metrics struct { Provider string Statsd Statsd }
NetworkTimeouts contains the socket timeouts for network requests to the Kafka cluster.
type NetworkTimeouts struct { DialTimeout time.Duration ReadTimeout time.Duration WriteTimeout time.Duration }
Operations configures the operations endpont for the orderer.
type Operations struct { ListenAddress string TLS TLS }
Producer contains configuration for the producer's retries when failing to post a message to a Kafka partition.
type Producer struct { RetryMax int RetryBackoff time.Duration }
Profile contains configuration for Go pprof profiling.
type Profile struct { Enabled bool Address string }
RAMLedger contains configuration for the RAM ledger.
type RAMLedger struct { HistorySize uint }
Retry contains configuration related to retries and timeouts when the connection to the Kafka cluster cannot be established, or when Metadata requests needs to be repeated (because the cluster is in the middle of a leader election).
type Retry struct { ShortInterval time.Duration ShortTotal time.Duration LongInterval time.Duration LongTotal time.Duration NetworkTimeouts NetworkTimeouts Metadata Metadata Producer Producer Consumer Consumer }
SASLPlain contains configuration for SASL/PLAIN authentication
type SASLPlain struct { Enabled bool User string Password string }
Statsd provides the configuration required to emit statsd metrics from the orderer.
type Statsd struct { Network string Address string WriteInterval time.Duration Prefix string }
TLS contains configuration for TLS connections.
type TLS struct { Enabled bool PrivateKey string Certificate string RootCAs []string ClientAuthRequired bool ClientRootCAs []string }
TopLevel directly corresponds to the orderer config YAML. Note, for non 1-1 mappings, you may append something like `mapstructure:"weirdFoRMat"` to modify the default mapping, see the "Unmarshal" section of https://github.com/spf13/viper for more info.
type TopLevel struct { General General FileLedger FileLedger RAMLedger RAMLedger Kafka Kafka Debug Debug Consensus interface{} Operations Operations Metrics Metrics }
func Load() (*TopLevel, error)
Load parses the orderer YAML file and environment, producing a struct suitable for config use, returning error on failure.
Topic contains the settings to use when creating Kafka topics
type Topic struct { ReplicationFactor int16 }


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I'm a Computer Science undergrad at Northern India Engineering College, GGSIPU. My interests include Algorithms, Android Development, Backend Development and Machine Learning.
Cover template by @mdo.


kgp.fitness
/
Cases
Cases
typealias
Cases
=
List
<
Case
>
A set of cases that a program will be trained on.


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Create custom landing pages with Omega that convert more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
With lots of unique blocks, you can easily build a page without coding.
Create custom landing pages with Omega that converts more visitors than any website. With lots of unique blocks, you can easily build a page without coding.
50+ Unique Design Blocks
Multiple Layouts
Mobile First Design
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Bootstrap 4 Framework
Humanly Support
Lifetime Updates
Rich Documentation
Create custom landing pages with Omega that converts more visitors than any website.
OMG! I cannot believe that I have got a brand new landing page after getting Omega. It was super easy to edit and publish.
Jonathan Taylor
Marie Stanley


--- layout: default title: Ellipsis, or Leaving Words Out ---
Sometimes writers leave words out. They expect their readers to know which words are left out.
The following sentence has a word that is left out in the second phrase:
A robin is a kind of bird, and a cat a kind of mammal.
Do you see the word that is left out in the second phrase? The writer did that on purpose.
Here is the same compound sentence but with the word that was left out:
A robin is a kind of bird, and a cat is a kind of mammal.
That is super easy, don't you think?


THE POSTMAN (1997)
a review by Christian Pyle
When I first heard that Kevin Costner was making a movie called "The Postman," I thought, "An American version of 'Il Postino?' Starring Costner? God help us!" When I found out that it was not a remake of "Postino" but an postapocalyptic epic, I thought, "'Landworld?' Please, God, make him stop!"
As it turns out, "The Postman" is a much better film than I had expected. Despite being set in 2013, the movie is, at heart, a western: a band of thugs terrorizes peaceful villagers; a wandering hero opposes the bandits and inspires others to fight back. The setting, however, allows that familiar plot to take on greater significance: American society has collapsed due to plagues and wars, and survivors live behind barracades in isolated villages. The struggle of a dead society to be reborn has a grand quality and deserves the epic scale Costner grants it.
Costner's nameless character, a wandering actor, rides in from the vast wasteland and is soon shanghaied into the service of General Bethlehem (Will Patton), a former copy-machine salesman turned bandit king. Our hero escapes and discovers the body of a dead postman. Taking the uniform and bag of mail, he passes himself off as a representative of "the Restored United States." He is shocked at the hope that he inspires in the people he meets. One young disciple, Ford Lincoln Mercury (Larenz Tate), organizes a full-scale postal service. Ford spreads The Postman's message of hope until Bethlehem finds that the once-meek villagers are beginning to resist his rule. As war breaks out between Bethlehem's army and the postal workers, Costner's character steps into the legend he created and goes from self-centered loner to leader of the revolution. His lie of the Restored United States becomes a self-fulfilling prophecy.
"Postman" is an odd blend of a bleak setting and a message of wide-eyed optimism (sort of "Sergio Leone meets Frank Capra"), but its treatment of hope and renewal is compelling. What could have been another knock-off of "The Road Warrior" (like "Waterworld" was) surprises the viewer with a sensitively told story of nobility emerging from rubble.
Tate is the stand-out in the movie's large cast. Ford Lincoln Mercury (self-named) is the polar opposite of O-Dog, Tate's character in his debut film, "Menace II Society" (1993), and Tate makes Ford's innocent belief in hope as convincing as O-Dog's cynicism and brutality. His performance sells the movie. Interestingly, as Tate moves from his usual street-smart roles to youthful optimism, the soft-eyed Patton, who usually plays nice guys, proves a disarming villain.
Olivia Williams makes her film debut as The Postman's love interest, Abby. When they first meet, Abby asks him to father her child because her husband is sterile. Predictably, the husband is soon eliminated by the bandits, and Abby is thrown back into the company of the hero. However, their relationship develops slowly as the emotional conflicts of both characters are explored (she, torn by grief, guilt, and anger; he, resisting his destiny).
"The Postman" is Costner's best work thus far. Perhaps that alone gives us hope for the future . . .
Grade: B+
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


--- title: "Got Any Painful Memories That You Want Erasing? Well Science Can Now Help" featimg: "http://www.viralthread.com/wp-content/uploads/2015/11/sdgfasdgfsdgsad.jpg" description: "Got Any Painful Memories That You Want Erasing? Well Science Can Now Help" tags: category: sourceurl: "http://www.viralthread.com/got-any-painful-memories-that-you-want-erasing-well-science-can-now-help/" ---
Have you ever wanted to have a particularly awful memory removed from your brain? Well unless you are Jim Carey in Eternal Sunshine of the Spotless Mind, this has probably been a mere fantasy, until now. Scientists are saying that they can now removed and delete memories from your brain.
Recently, MIT researchers have shown for the first time ever that memories are stored in specific brain cells. By triggering a small cluster of neurons the researchers were able to force the subject to recall a specific memory. By removing these neurons, the subject would lose that memory.
The only drawback, the subjects of these tests were mice…
While we’re obviously a long way from being able to actually delete human memories, the most important discovery here is that we finally have proof that memories are physical rather than conceptual. The question is, would you make the choice to delete the painful memories if you could?


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| 4 | ||
| 5 |
Transfer Response request status:
Transfer Response execution result:
Transfer Response transaction status:
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| 6 |
Status Response request status:
Status Response execution result:
Status Response transaction status:
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| 7 |
Proof Response request status:
Proof Response execution result:
Proof Response transaction status:
Proof Response packed proof byteLength:
Proof Response packed receipt byteLength:
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Balance Response request status:
Balance Response execution result:
Balance Response value:
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Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 6 - 8
Dietary
A special pudding with a real 'wow' factor. Make all the elements in advance then assemble just before serving.
For the crème anglaise, place the milk, cream, vanilla pod and seeds into a saucepan and bring to the boil.
Place the egg yolks and caster sugar into a bowl then pour over the hot milk mixture and whisk to combine.
Pour the mixture back into the saucepan, bring to a simmer and cook until just thickened, stirring all the time. Remove the pan from the heat and divide the mixture - ¼ into one bowl for the hazelnut custard, and ¾ into another for the peppermint parfait.
Blanch the peppermint leaves in boiling water for 30 seconds then drain and refresh in iced water.
Pour the ¾ of the crème anglaise into a food processor with the peppermint leaves and peppermint essence and blend to a very fine, pale green purée. Strain through a fine sieve into a clean bowl and allow to cool.
For the parfait, grease a loaf tin with a little vegetable oil then line with two layers of cling film.
In a clean mixing bowl, whisk the egg whites until they form soft peaks. Fold in the sugar to make a raw meringue mixture then whisk it into the mint-flavoured crème anglaise.
Place the cream into a clean bowl and whip until it forms soft peaks. Fold the cream into the mint mixture then fold in the grated chocolate very carefully. Pour the mixture into the lined loaf tin and place in the freezer for at least four hours until firm.
For the hazelnut custard, line a baking tray with greaseproof paper. Heat a frying pan over a high heat until hot. Add the sugar and cook until the sugar has completely melted and is sticky and golden-brown.
Add the chopped hazelnuts and stir until they are coated in the sugar mixture, then pour the mixture onto the prepared baking tray. Set aside until the mixture has hardened.
When the praline mixture has hardened, cover with a sheet of cling film and break into small pieces using a toffee hammer or rolling pin then place into a food processor and blend to a fine powder. Stir into the reserved ¼ of the crème anglaise.
For the chocolate mint shards, melt the chocolate in a bowl over a pan of simmering water. Stir in the demerara sugar and peppermint essence then spoon onto baking tray lined with silicone or baking parchment and leave to set. When set, break the chocolate into large shards.
To serve, cut the parfait into thick slices and place onto plates. Spoon a little hazelnut custard around then finish with a shard of mint chocolate.


Front End Developer
UI Developer
Front End Framework Developer
Back End Developer
Team Lead
© 2019 CONJUGATOR. ALL RIGHTS RESERVED.


Proof of equilavenc between Eq. (8) and
Euler-Lagrange equation (163)
Equation (8) is repeated here, i.e.,
|
(162) |
where
and
are considered as gradient operators. Note that, in Cartisian
coordinates, the components of Eq. (8) are obviously equivalent to
the respective Euler-Lagrange equations. We now check whether the component
equations in arbitrary coordinate system obtained by evaluating the gradient
of the Lagrangian
in Eq. (8) are equivalent to the
respective Euler-Lagrange equations in that coordinates system. The
Euler-Lagrange equation in any coordinates is given by
|
(163) |
which is expressed in terms of a single coordinate component, and is
coordinate independent, i..e, it takes the same form for every components of
any coordinate systems.
In this section, I prove that the components of Eq. (8) are
equivalent to the Euler-Lagrange equation (163) in cylindrical
coordinates
. First, let us consider the term
, which, in Cartesian coordinators,
is written as
|
(164) |
Using the chain rule, the above equation is written as
Using the transformation relation
|
(165) |
we obtain
,
, etc. Thus
reduces
to
|
(166) |
Using the transformation relation Eq. (165), we obtain
|
(167) |
|
(168) |
and
|
(169) |
Noting that
,
,
,
, Eq. (166) is
further written as
|
(170) |
Using Eqs. (167) and (168), we obtain
|
(171) |
|
(172) |
|
(173) |
|
(174) |
Using these, Eq. (170) is written as
Using this, the left-hand side of Eq. (8) is written as
Next, consider the right-hand side of Eq. (8), which is the space
gradient of Lagrangian
. When I at first considered this problem,
I took it for granted that the space gradient in cylindrical coordinates
should be
|
(177) |
which turns out to be wrong because this formula does not take into account
that
depends on
which in turn depends on
the spatial coordinates. The correct way to calculate the space gradient is as
follows:
It is important to note that
depends on ,
which in turn depend on and . As a result, there exist
additional terms (the last two terms in both the brackets), which would be
missed if we used the formula in Eq. (177). Equation (178)
is further written as
Using
Using these results, the last two terms in Eq. (179) is written as
| |
|
|
|
| |
|
|
(184) |
Using this, Eq. (179) is written as
|
(185) |
Note that, compared with Eq. (177), the above expression contains
additional terms. The additional terms are the source of confusion when I at
first tried to prove the equivalence between Eqs. (8) and
(163). (I was confused for many days before I fininaly found the
solution given here.) Using Eqs. (185) and (176) in Eq.
(162), we recover the Euler-Lagrange equation in cylindrical
coordinates, i.e.,
|
(186) |
|
(187) |
|
(188) |
YouJun Hu
2014-05-19


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|
| enum | LoggingSeverityLevel {
LOG_OFF,
LOG_ERRORS,
LOG_WARNINGS,
LOG_INFO,
LOG_FINE,
LOG_TRACE,
LOG_ALL
} |
| | Specifies the detail that will be logged, if logging is enabled.
|
| |
| enum | LoggingComponent {
LOG_TCP = 1,
LOG_RECORDING = 2,
LOG_VIDEO = 4,
LOG_AGENTHOST = 8,
LOG_OBJECTLIFETIME = 16,
LOG_ALL_COMPONENTS = 31
} |
| | Specifies the components that will output logging information.
|
| |
|
|
| Logger (const malmo::Logger &)=delete |
| |
|
template<LoggingSeverityLevel level, LoggingComponent component, typename... Args> |
| void | print (Args &&...args) |
| |
|
void | setSeverityLevel (LoggingSeverityLevel level) |
| |
|
void | setFilename (const std::string &file) |
| |
|
void | setComponent (LoggingComponent component, bool enable_logging) |
| |
|
|
void | indent () |
| |
|
void | unindent () |
| |
|
void | clear_backlog () |
| |
|
void | performWrite (const std::string &logline) |
| |
|
|
static void | log_spooler (Logger *logger) |
| |
|
|
template<LoggingSeverityLevel level, Logger::LoggingComponent component> |
| class | LogSection |
| |
|
class | LoggerLifetimeTracker |
| |
|
void | log_spooler (Logger *logger) |
| |
| static void malmo::Logger::appendToLog |
( |
LoggingSeverityLevel |
severity_level, |
|
|
const std::string & |
message |
|
) |
| |
|
inlinestatic |
Add a single line to the log.
Provided for external use - swigged/bound to allow user code to add to the log, to assist in debugging. Internal (Malmo) code should use the macros instead.
- Parameters
-
| severity_level | The level for this log line. The message to add to the log file. |
| static void malmo::Logger::setLogging |
( |
const std::string & |
filename, |
|
|
LoggingSeverityLevel |
severity_level |
|
) |
| |
|
inlinestatic |
Sets logging options for debugging.
- Parameters
-
| filename | A filename to output log messages to. Will use the console if this is empty / can't be written to. |
| severity_level | Determine how verbose the log will be. |
The documentation for this class was generated from the following file:


This document is also available in these non-normative formats: XML
Copyright © 2013 W3C® (MIT, ERCIM, Keio, Beihang), All Rights Reserved. W3C liability, trademark and document use rules apply.
This is the requirements document for XProc V2.0.
This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.
This document is a First Public Working Draft produced by the XML Processing Model Working Group which is part of the XML Activity.
Publication as a First Public Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
Please send comments about this document to<EMAIL_ADDRESS>(public archives are available).
This document was produced by a group operating under the 5 February 2004 W3C Patent Policy. W3C maintains a public list of any patent disclosures made in connection with the deliverables of the group; that page also includes instructions for disclosing a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) must disclose the information in accordance with section 6 of the W3C Patent Policy.
User and implementor experience with [XProc] has exposed a number of ways in which the XProc language could be improved. The Working Group's focus for V2.0 is on usability improvements.
The requirements in this document are divided into two groups, a set of “must” requirements and a set of “should” requirements. The Working Group feels that the requirements in the “must” category are absolutely essential. The requirements listed in the “should” category are viewed as either less critical or more speculative in nature.
The following requirements are considered “must” requirements for XProc V2.0.
Experience with parameters in XProc 1.0 reveals that they are too complicated. They often cause user confusion and introduce syntactic complexity not justified by their function. XProc v2.0 must dramatically simplify parameters, perhaps simply removing parameter ports altogether without replacing them with a new mechanism of equivalent power (and complexity).
Experience has shown that real-world pipelines often involve non-XML documents. Several workarounds have been invented for special cases. The limitation that V1.0 can only pass XML between steps makes some pipelines difficult, if not impossible, to write.
Providing the ability to allow non-XML documents to flow between steps opens up the possibility of writing simple pipelines to work with images, JSON, Turtle, EPUB, etc.
Alignment with [XQuery 3.0]/[XSLT 3.0] will keep features of XProc consistent with modern XML technologies: error handling, serialization options, [XDM] features, etc. In addition, support for XPath 1.0 no longer seems relevant; it adds complexity to the specification and is unlikely to be implemented today. XPath 1.0 support will be removed from XProc.
There are many pipelines for which the flow analysis does not provide a convenient or predictable ordering of steps. Because some steps have side effects not manifest in the pipeline, it may be necessary to ensure a particular order. This facility is not supported by XProc 1.0, but is available in implementation-defined extensions. XProc 2.0 will standardize this facility.
XProc 1.0 restricts the values of variables, options, and parameters to be only strings. This has proven to be an inconvenient limitation. XProc 2.0 will allow variables, options, and parameters to have any [XDM] value insofar as possible. XProc 2.0 will also allow the required types of variables, options, and parameters to be specified.
The syntactic sugar that allows step options to be expressed concisely as attribute values on a step is foiled whenever the value of the option must be computed by the pipeline. Allowing those options to contain XSLT-style attribute value templates (AVTs) would simplify many pipelines. Additionally, allowing AVTs in other places, such as the href attribute on p:document, will be considered.
[XSLT 3.0] introduces a feature which allows expressions in curly braces to be evaluated in element content. This feature is similar to the facility provided by the p:template step. Extending XProc to support curly braces in a manner consistent with [XSLT 3.0] will be considered.
XProc 1.0 offers relatively few default behaviors, requiring instead that pipelines specify every construct fully. User experience has demonstrated that this leads to very verbose pipelines and has been a constant source of complaint. XProc 2.0 will introduce a variety of syntactic simplifications as an aid to readability and usability, including but not limited to:
<p:pipe step="name"/> binds to the primary output port of the step named “name”.
<p:pipe port="secondary"/> binds to the “secondary” port of the step on which the default readable port occurs.
<p:input port="portname" href="..."/> is a shortcut for a nested p:document.
<p:input port="portname"/> is a shortcut for a nested p:empty.
Allow p:inline to be optional.
Allow curly brace expansion in p:inline (with an attribute to control whether or not that behavior is enabled)
Provide a select attribute on p:for-each/p:viewport
Change all steps with a single non-primary output to have a single primary output
Consider harmonizing p:viewport-source and p:iteration-source
Add an AVT value attribute to options, parameters, and variables (to be used instead of select)
Implementation experience has demonstrated that there are areas of the specification that didn't get the balance right between precision for implementors and clarity for users, for example “non-step wrappers”. The XProc 2.0 specification should attempt to resolve these problems without introducing inordinate complexity.
The 1.0 specification also defines the p:pipeline element as a syntactic shortcut for a particular form of p:declare-step. While convenient in some circumstances, it has proven to be a source of some confusion especially among new users. XProc 2.0 may remove the p:pipeline element.
Adding metadata to documents is a natural thing for pipelines to do, either for subsequent use by the pipeline or for eventual output. For example, the serialization options provided in an XSLT stylesheet could be carried forward to the eventual serialization of the result document by the pipeline. In XProc 1.0, there's no way to maintain that association. XProc 2.0 should support the ability to associate processor and user-defined metadata with documents.
While most steps have a predetermined and static number of inputs and outputs, this is not universally the case. In XProc 1.0, a putative p:eval step which could run a dynamically constructed pipeline, for example, suffers from the limitation that the signature of the p:eval step usually differs from the signature of the evaluated pipeline.
XProc 2.0 should provide a facility for supporting steps with a variable number of inputs and outputs.
XProc 1.0 provides scant support for reporting the status of a pipeline and providing aid to users attempt to debug pipelines. Implementation-defined extensions have demonstrated that some additional facilities, such as a p:message step, would be an aid to users.
XProc 2.0 will add some mechanism for reporting status messages and will consider adding additional steps and/or language features to aid in analysing the behavior of a running pipeline.
Experience with user-defined functions in XQuery and XSLT reveals that they can be a powerful addition to the language. Providing some feature that allowed users to extend the vocabulary of functions available in, for example, the test expressions on p:when elements would greatly simplify some pipelines.
Such a mechanism might take the form of the ability to load extension functions defined in, for example, XQuery, or it might include adding the ability to define functions in XProc.
Support for catching errors in XProc 1.0 is limited to a simple p:try/p:catch pair, which catches and handles all errors uniformly. To align XProc with modern languages, the try/catch mechanism will be extended to support the ability to catch specific errors and possibly with the addition of a “finally” construct.
In addition to supporting [XDM] values in variables, options, and parameters, XProc 2.0 might allow [XDM] values in more places, such as allowing p:for-each to iterate over a sequence of strings or integers.
XProc 1.0 is a specification that consists of both the language definition and the inventory of required and optional steps. Release management might be simplified by separating the language core from the vocabulary of steps and providing some sort of versioning strategy that allowed the vocabulary of steps to be revised more frequently. XProc 2.0 may be defined in more than one Rec-track specification document.
The vocabulary of steps available in XProc is extensible. Users and implementors have developed additional steps. For example, to support pipelines that produce EPUB documents or manipulate files on disk. It is worth considering which, if any, new steps should be elevated to the XProc namespace. The candidates include, but are not limited to:
p:zip and p:unzip
p:template and p:in-scope-names
p:eval
Semantic web steps (p:sparql, p:rdfa, ...)?
Operating system steps (p:env, ...)?
File system steps (p:mkdir, p:copy, ...)?
The use of an optional, single p:output binding in p:viewport creates confusion for users. The binding is used both to connect the inner workings of the viewport and as the name of the output port as seen from the outside.
In addition, the fact that viewport can produce only a single result means that for some tasks, multiple passes are required, using a combination of p:viewport and p:for-each. Consider the task of changing image references in an XHTML document from .svg to .png and generating the sequence of .png images. In XProc 1.0, this requires a p:viewport and a p:for-each.
Adding an explicit p:viewport-result allows us to remove the confusion between the input and the name of the output. Allowing multiple outputs allows us to collapse the p:viewport and p:for-each logic into a single step.
<p:viewport name? = NCName match = XSLTMatchPattern> ((p:viewport-source? & p:viewport-result? & p:output* & p:log?), subpipeline) </p:viewport>
The viewport-result connects the transformation inside the viewport back into the source document over which viewport is operating. The transformed document always appears on a port named 'result'. Any other outputs are simply sequences analagous to p:for-each. It's a static error to name one of those outputs 'result'.
The base URI of a document created by the p:inline element is the base URI of the p:inline element. Specifying an xml:base attribute on the root element of the document does not help as that only applies to that element and its decendants.
Additionally, in some pipelines, it is desirable to be able to change the base URI of documents produced by other steps. No convenient mechanism exists in XProc V1.0 to satisfy these requirements.
[RFC 2119] Key words for use in RFCs to Indicate Requirement Levels. S. Bradner. Network Working Group, IETF, Mar 1997.
[XProc] XML: An XML Pipeline Language. Norman Walsh, Alex Milowski, and Henry S. Thompson, editors. W3C Recommedation 11 May 2010.
[XDM] XQuery and XPath Data Model (XDM) 3.0, Norman Walsh, John Snelson, Editors. World Wide Web Consortium, 08 January 2013.
[XQuery 3.0] XQuery 3.0: An XML Query Language, Jonathan Robie, Don Chamberlin, Michael Dyck, John Snelson, Editors. World Wide Web Consortium, 08 January 2013.
[XSLT 3.0] XSL Transformations (XSLT) Version 3.0, Michael Kay, Editor. World Wide Web Consortium, 10 July 2012.


Reader’s Mail - Hyderabad
Open the crossroads
As the Tarnaka flyover is fully functioning and the metro rail work is completed, it is better that the Tarnaka crossroad, which is blocked by traffic police, can be opened beneath the flyover as vehicle users are put to lot of hardship in taking a long ‘U’ turn, leading to wastage of fuel and time. Currently, for one trip, vehicle users have to cover nearly 4km. I urge the traffic police to do the needful and make it comfortable for commuters.
T.Kailash Aditya,
Barkatpura
Illegal connections
Now the flood gates are opened for illegal, unauthorised drinking water connections by HMWS&SB to be regularised by offering heavy discounts in regularisation charges. Thus, unlawful practices and pilferage of precious piped water get rewarded by the schemes of Voluntary Disclosure Scheme. As against this, we, the residents of eight flats in an apartment of Panchavati Colony in Manikonda, are required to shell out ₹3.5 lakh to get a single water connection to our premises. In other words, law enforcing authorities are rewarding the dishonest and corrupt elements at the expense of law-abiding and honest rate-payers.
K. Seshagiri Row,
Manikonda
Road-crossing trouble
For the past many years, we have been experiencing difficulties in crossing the Nizampet road in the evening. There are no signals and not even one speed breaker on the entire road. At night, vehicles pass with highbeam headlights, and in between two-wheelers zoom past without headlights while wrong side driving of two-wheelers is very common. I request the traffic police to look into this.
K. Bhaskara Rao,
Nizampet
(Readers are welcome to write to us about the civic issues in their respective areas to be highlighted in these columns. They can be sent to hyderabaddesk-at-thehindu.co.in. You can also post them on our social media handles - tweet @THHyderabad or post on www.facebook.com/ HydConnect)


Do you have favorite success stories you want to bookmark for when you aren't seeing those results you want to see or maybe you want to save all of those awesome workouts for when your routine gets boring? Simply fill out the form and we will add that motivation story for you.
Adding bookmarks just got easier! Just fill out the form below and click submit and watch it populate.
Do you have that favorite podcast to trail run to but can never find it on soundcloud? Well take a chance with us and add those favorite podcasts today and access them on your mobile device!


susie_rss.Rd
Bayesian sum of single-effect (SuSiE) linear regression using z scores
susie_rss(z, R, maf = NULL, maf_thresh = 0, z_ld_weight = 0, L = 10, prior_variance = 50, residual_variance = NULL, r_tol = 1e-08, prior_weights = NULL, null_weight = NULL, estimate_residual_variance = TRUE, estimate_prior_variance = TRUE, estimate_prior_method = c("optim", "EM", "simple"), check_null_threshold = 0, prior_tol = 1e-09, max_iter = 100, s_init = list(), intercept_value = 0, coverage = 0.95, min_abs_corr = 0.5, tol = 0.001, verbose = FALSE, track_fit = FALSE, check_R = TRUE, check_z = TRUE)
| z | a p vector of z scores. |
|---|---|
| R | a p by p symmetric and positive semidefinite correlation matrix. If it is from a reference panel, we recommend a modification on correlation matrix with parameter `z_ld_weight`. |
| maf | minor allele frequency; to be used along with `maf_thresh` to filter input summary statistics |
| maf_thresh | variants having MAF smaller than this threshold will be filtered out |
| z_ld_weight | the weight assigned to the z in the ld matrix, the ld matrix used in model is cov2cor((1-w) R + w zz'). We recomment setting `z_ld_weight` as 1/number of samples in reference panel. |
| L | maximum number of non-zero effects |
| prior_variance | the prior variance (vector of length L, or scalar. In latter case gets repeated L times ) |
| residual_variance | the residual variance, a scaler between 0 and 1 |
| r_tol | tolerance level for eigen value check of positive semidefinite matrix of R. |
| prior_weights | a p vector of prior probability that each element is non-zero |
| null_weight | probability of no effect, for each single effect model |
| estimate_residual_variance | indicates whether to estimate residual variance |
| estimate_prior_variance | indicates whether to estimate prior |
| estimate_prior_method | The method used for estimating prior variance. "simple" method only compares the loglikelihood between using specified prior variance and using zero, and chose the one that gives larger loglikelihood. |
| check_null_threshold | when prior variance is estimated, compare the estimate with the null and set prior variance to null (zero) unless the log-likelihood using the estimate is larger than that of null by this threshold. For example, you can set it to 0.1 to nudge the estimate towards zero. Default is 0. Notice that setting it to non-zero may lead to decreasing ELBO in some cases. |
| prior_tol | when prior variance is estimated, compare the estimated value to this tol at the end of the analysis and exclude a single effect from PIP computation if the estimated prior variance is smaller than it. |
| max_iter | maximum number of iterations to perform |
| s_init | a previous susie fit with which to initialize |
| intercept_value | a value to assign to the intercept (since the intercept cannot be estimated from centered summary data). This
value will be used by coef.susie() to assign an intercept value, for consistency with the non-summary-statistic version of this function |
| coverage | coverage of confident sets. Default to 0.95 for 95% credible interval. |
| min_abs_corr | minimum of absolute value of correlation allowed in a credible set. |
| tol | convergence tolerance based on elbo |
| verbose | if true outputs some progress messages |
| track_fit | add an attribute |
| check_R | check whether R is positive semidefinite |
| check_z | check whether z in space spanned by the non-zero eigenvectors of R |
a susie fit, which is a list with some or all of the following elements
an L by p matrix of posterior inclusion probabilites
an L by p matrix of posterior means (conditional on inclusion)
an L by p matrix of posterior second moments (conditional on inclusion)
an p vector of t(X) times fitted values, the fitted values equal to X times colSums(alpha*mu))
residual variance
prior variance
Revised from susieR::susie_rss. Performs sum of single-effect (SuSiE) linear regression with z scores. The summary data required are the p by p correlation matrix R, the p vector z. The summary stats should come from the same individuals. This function fits the regression model z = sum_l Rb_l + e, where e is N(0,residual_variance * R) and the sum_l b_l is a p vector of effects to be estimated. The assumption is that each b_l has exactly one non-zero element, with all elements equally likely to be non-zero. The prior on the non-zero element is N(0,var=prior_variance).
set.seed(1) n <- 1000 p <- 1000 beta <- rep(0,p) beta[1:4] <- 1 X <- matrix(rnorm(n*p),nrow=n,ncol=p) y <- c(X %*% beta + rnorm(n)) input_ss <- compute_ss(X,y,standardize = TRUE) ss <- univariate_regression(X, y) R <- with(input_ss, cov2cor(XtX)) zhat <- with(ss, betahat/sebetahat) # res <- susie_rss(zhat, R)


The Hooting Yard postbag was gnawed by shrews over the Bank Holiday weekend, rendering much of the correspondence indecipherable. Still, it's a timely reminder that many readers have been waiting patiently for answers to their questions, so here is a quick round-up.
Tim from Swanage: Stay in your pod!
Maisie from Crows-An-Wra: I think you may have inadvertently downloaded the cephalopodcast. Put it in a bucket filled to the brim with brine and take it to the seaside.
Arpad from Helsinki: The correct pronunciation is noo-gaah.
Dave from ‘The Old Boathouse’: You are in grave peril. Try to escape from your pod as soon as you can.
Constance from Verona: I am afraid your letter is one of the most thoroughly-gnawed ones and I am unable to read a word of it.
Ingmar from Spokane: Chop up the celery first, then trap the flies. Your mother's brooch has fallen behind the dresser. You will find solace in polevaulting. On Thursday you will receive news from afar, but do not act upon it, or the cosmos will be plunged into twenty billion years of apocalyptic ballyhoo.


Many ACML routines make use of allocated memory as temporary workspace during computation. Normally this workspace is freed as soon as it is no longer required, just before exit from the ACML routine that allocated it.
In general this allocatiom and freeing of memory does not make much difference to the performance of ACML. However, in some cases it can make a difference; for example, where a kernel routine which allocates memory is repeatedly called by a higher level routine to solve subproblems. This applies particularly to some LAPACK routines which make many calls to the matrix-matrix multiply routine DGEMM.
For this reason, we have introduced into ACML a system whereby the memory allocation mechanism used by most Level 3 and some Level 2 BLAS routines may avoid freeing memory, instead re-using memory allocated previously. This feature, called fast malloc, is now implemented in both Linux and Windows builds of ACML.
By default, beginning with ACML 5.3.0, the scheme is turned on.
If you wish to turn if off,
you will need to explicitly switch it off. This can be accomplished by means of
an environment variable. The variable is named ACML_FAST_MALLOC
,
and can be turned off under Linux like this
export ACML_FAST_MALLOC=0
(if you use bash or a similar shell), or like this:
setenv ACML_FAST_MALLOC 0
(if you use csh, tcsh or similar). Any other value will leave the feature enabled.
At run-time, programs linked with ACML which use e.g. DGEMM, directly or indirectly, will use the new scheme. Level 2 routines that will use the fast malloc feature are CGEMV, CGERC, CGERU, CTRMV, CTRSV, DGEMV, DGER, DTRMV, DTRSV, SGEMV, SGER, STRMV, STRSV, ZGEMV, ZGERC, ZGERU, ZTRMV, ZTRSV. Level 3 routines that will use the fast malloc feature are DGEMM, SGEMM, and ZGEMM.
Since with this scheme memory is not always freed, there is an obvious penalty to be paid - some of your machine's memory will be tied up while your program is running and will not be available for other use. The default amount of memory that will be assigned is 10 Megabytes (actually 10,000,000 bytes) for each thread. If the problem sizes require more workspace memory than is currently allocated, beginning with ACML 5.3.1, the previous buffer will be freed and a new buffer allocated that is large enough, and this new larger buffer will be retained. This means that the most memory that will be used may increase above the previous limit of 10 MB per thread, but it should reach a maximimum value that depends on the problem and the number of threads.
You can change the default values of the intial allocation size through the use of environment variables.
These are ACML_FAST_MALLOC_CHUNK_SIZE
which can be used to change the default
chunk size from 10 Megabytes to any other positive value, given in bytes, and
ACML_FAST_MALLOC_MAX_CHUNKS
which sets the maximum number of chunks that
may be used. You should use care when changing these values - if you accidentally
set them too large and your program uses enough threads you may find that your
program fails due to overallocation.
There is one final environment variable relevant to the fast memory allocation
scheme. This is ACML_FAST_MALLOC_DEBUG
. If you set this environment variable
to any value, then ACML will print various messages showing the memory being used
under the scheme. Note that other memory may still be allocated and freed in the
normal way by ACML - such allocation will not lead to messages. This environment
variable is designed to let you verify that the scheme is actually being used.
In normal use you would definitely want ACML_FAST_MALLOC_DEBUG
not to be set.


--- layout: post status: publish published: true title: Bloggers Guide to BizTalk v1.4 author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 542 wordpress_url: http://winterdom.com/2005/02/bloggersguidetobiztalkv14 date: '2005-02-13 09:58:06 +0000' date_gmt: '2005-02-13 09:58:06 +0000' categories: - BizTalk tags: [] comments: [] ---
Alan Smith (who, btw, is now a BizTalk MVP) just released version 1.4 of his Bloggers Guide To BizTalk. Great stuff.
Turns out three of my recent posts are now included :)


Array - Returns a variant containing an array
Filter - Returns a zero-based array that contains a subset of a string array based on a filter criteria
IsArray - Returns a Boolean value that indicates whether a specified variable is an array
Join - Returns a string that consists of a number of substrings in an array
LBound - Returns the smallest subscript for the indicated dimension of an array
Split - Returns a zero-based, one-dimensional array that contains a specified number of substrings
UBound - Returns the largest subscript for the indicated dimension of an array


Rami Khouri offers workshop series at NU-Q
In response to the threat posed by the spread of disinformation in societies worldwide, NU-Q recently hosted a series of writing sessions for journalism students and faculty members to advance factual, research-based communication.
Led by Rami Khouri, a syndicated journalist and member of NU-Q’s Joint Advisory Board, the sessions included a masterclass and two writing workshops tailored to students and faculty alike.
Khouri, a global voice with decades of experience in virtually every facet of the media business in the Middle East, addressed the global need to harness existing research knowledge and make verified facts available to decision-makers through the process of identifying influential journalism and adopting fact-based messaging techniques.
During the “Masterclass in Narrative Non-Fiction,” which was attended by NU-Q journalism students, Khouri outlined the various aspects of narrative journalism, which he defined as stories made more descriptive through the experience of a subject.
This form of writing, which engages the senses of the reader, Khouri noted, creates impactful stories that strike a balance between emotions and facts and “adds perspective to real-world conflicts.”
In his “Opinion Editorials Writing Workshop,” which was also designed for students, Khouri explained how op-eds predicated on facts can appeal to public sentiment. “As the name implies, the critical element of an op-ed is the ‘op’ or opinion,” Khouri told the students. “You have to have a strong opinion; you’re not just describing, reminiscing or feeling good about something, you have to have a strong opinion about some topic.
”The faculty-oriented session of the same workshop, “Opinion Editorials Writing and Effective Media Communication,” focused on how academics can communicate effectively with a non-academic audience at a time when media professionals, policymakers and the general public can benefit from the substantiated knowledge disseminated by universities.
Through a combination of case studies and simulation exercises, NU-Q faculty learned useful strategies related to the processes of selecting the most relevant media outlets for collaboration, pitching op-ed ideas to editors, and differentiating between the quality of the data that can be used to back up their proposal.
Khouri is the former director, and now senior fellow of the Issam Fares Institute for Public Policy and International Affairs at the American University of Beirut. He also currently sits as a senior fellow, Middle East Initiative, in the John F. Kennedy School of Government at Harvard University. Previously, he was editor of The Daily Star newspaper in Lebanon, and editor-in-chief of The Jordan Times.
Khouri has written for many leading international publications, including the Financial Times, The Boston Globe, and The Washington Post.
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Documentation
Procurement templates take your purchasing skills to the next level with Purchasing Toolpak
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pipe_reader(path, arguments = [], environment, directory, stdin_redirection = true,
stdout_redirection = true, stderr_redirection, pseudo_terminal,
show_console = true, transcoder)
pipe_writer(path, arguments = [], environment, directory, stdin_redirection = true,
stdout_redirection = true, stderr_redirection, pseudo_terminal,
show_console = true, transcoder)
pipe_stream(path, arguments = [], environment, directory, stdin_redirection = true,
stdout_redirection = true, stderr_redirection, pseudo_terminal,
show_console = true, transcoder)
Return a stream that can be used to communicate with an operating system process.
Path
indicates the location of the executable program in the filesystem.
Direction
should be one of the symbols 'input_output
,
'input
or 'output
.
Defaults to 'input_output
.
Arguments
a list of strings. Indicates the string arguments that are passed to the program.
The default value of this setting is the empty list (i.e. no arguments).
Environment
should be a list of strings. Indicates the set of environment variable bindings
that the process receives. Each element of the list is a string of the form "VAR=VALUE",
where VAR is the name of the variable and VALUE is its binding. When environment is false,
the process inherits the environment variable bindings of its parent process.
The default value of this setting is false
.
Directory
indicates the current working directory of the process. When directory is false
,
the process uses the value of current_directory()
.
The default value of this setting is false
.
Stdin_redirection
should be either true
or
false
. Indicates how the standard input of the
process is redirected. A setting of true
will redirect the standard input from the pipe-stream
(i.e. what is written to the pipe-stream will be available on the standard input).
A setting of false
will leave the standard input as-is, which typically results in input coming
from the console. The default value of this setting is true
.
Stdout_redirection
should be either true
or false
.
Indicates how the standard output of the process is redirected. A setting of true
will redirect
the standard output to the pipe-stream (i.e. all output to standard output can be read from the pipe-stream).
A setting of false
will leave the standard output as-is, which typically results in the
output going to the console. The default value of this setting is true
.
Stderr_redirection
should be either true
or false
.
Indicates how the standard error of the process is redirected. A setting of true will redirect the standard error to the
pipe-stream (i.e. all output to standard error can be read from the pipe-stream).
A setting of false
will leave the standard error as-is, which typically results in error
messages being output to the console. The default value of this setting is false
.
Pseudo_terminal
should be either true
or false
.
This setting applies to UNIX. It indicates what type of device will be bound to the process' standard input and standard output.
A setting of true
will use a pseudo-terminal device (this is a device that behaves like
a tty device even though there is no real terminal or user directly involved). A setting of
false
will use a pair of pipes. The difference is important for programs which behave
differently when they are used interactively, for example shells. The default value of this
setting is false
Show_console
should be either true
or false
.
It controls whether the process' console window will be hidden or visible. The default value of this setting is
true
(i.e. show the console window).
Transcoder
, if present, must be a transcoder object, and this function returns a
textual stream whose transcoder is transcoder
.


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C
CATEGORY
- Static variable in class domosaics.model.workspace.
WorkspaceElement
CATEGORY_NAME
- Static variable in class domosaics.model.workspace.
WorkspaceElement
CategoryElement
- Class in
domosaics.model.workspace
CategoryElement describes Workspace elements, representing categories for views respectively datasets.
CategoryElement(ViewInfo)
- Constructor for class domosaics.model.workspace.
CategoryElement
Constructor for a new category workspace element based on the information from a view.
changeElementName(WorkspaceElement, String)
- Method in class domosaics.model.workspace.
Workspace
Changes an elements name within the workspace
changeElementName(WorkspaceElement, String)
- Method in class domosaics.ui.
WorkspaceManager
Changes the name of a workspace element.
ChangeShapeAction
- Class in
domosaics.ui.views.domainview.actions
ChangeShapeAction()
- Constructor for class domosaics.ui.views.domainview.actions.
ChangeShapeAction
changeViewName(String)
- Method in class domosaics.ui.
AngstdUI
Wrapper around the rename method for views within AngstdDektop.
changeViewName(String)
- Method in class domosaics.ui.docking.
AngstdDesktop
Changes the views name within the dockable bar.
clear()
- Method in class domosaics.ui.views.view.manager.
AbstractComponentManager
clear()
- Method in interface domosaics.ui.views.view.manager.
ComponentManager
Clears the manager and removes all mappings.
clearSelection()
- Method in class domosaics.ui.views.view.manager.
DefaultSelectionManager
clearSelection()
- Method in interface domosaics.ui.views.view.manager.
SelectionManager
Removes all components from the selection
clipString(JComponent, FontMetrics, String, int)
- Static method in class domosaics.ui.util.
StringUIUtils
Clips the passed in String to the space provided.
clipStringIfNecessary(JComponent, FontMetrics, String, int)
- Static method in class domosaics.ui.util.
StringUIUtils
Clips the passed in String to the space provided.
clone()
- Method in class domosaics.model.arrangement.
Domain
Clones a domain, which is automatically called, when an arrangement is called, for all of its contained domains.
clone()
- Method in class domosaics.model.arrangement.
DomainArrangement
Clones an domain arrangement object.
CloseAction
- Class in
domosaics.ui.views.view.actions
CloseAction()
- Constructor for class domosaics.ui.views.view.actions.
CloseAction
CollapseSameArrangementsAction
- Class in
domosaics.ui.views.domainview.actions
CollapseSameArrangementsAction()
- Constructor for class domosaics.ui.views.domainview.actions.
CollapseSameArrangementsAction
ColorizeDomainAction
- Class in
domosaics.ui.views.domainview.actions
ColorizeDomainAction()
- Constructor for class domosaics.ui.views.domainview.actions.
ColorizeDomainAction
ComponentManager
<
T
extends
AngstdData
,
C
extends
ViewComponent
> - Interface in
domosaics.ui.views.view.manager
The ComponentManager interface is a manager which maps backend data to their UI ViewComponents.
Configuration
- Class in
domosaics.model
Configuration holds all specified URLs to look up nodes in trees and domains from an arrangement.
Configuration()
- Constructor for class domosaics.model.
Configuration
contains(Domain)
- Method in class domosaics.model.arrangement.
DomainArrangement
Check if a specified domain is contained by the arrangement.
contains(DomainFamily)
- Method in class domosaics.model.arrangement.
DomainArrangement
Check if a specified domain family is contained by the arrangement.
contains(Domain)
- Method in class domosaics.model.arrangement.
DomainSet
Checks if a specific domain occurs within the dataset.
convertSpaces(String)
- Static method in class domosaics.util.
StringUtils
Converts all spaces into "_" characters.
countComponents()
- Method in class domosaics.ui.views.view.manager.
AbstractComponentManager
countComponents()
- Method in interface domosaics.ui.views.view.manager.
ComponentManager
Returns the number of stored mappings between backend data and view components.
countDomains()
- Method in class domosaics.ui.views.domainview.manager.
DomainArrangementComponentManager
countDoms()
- Method in class domosaics.model.arrangement.
DomainArrangement
Counts the number of domains.
countProjects()
- Method in class domosaics.model.workspace.
Workspace
Number of all assigned projects
countViews()
- Method in class domosaics.model.workspace.
CategoryElement
Returns the number of views assigned to this category
countViews()
- Method in class domosaics.ui.
ViewHandler
Counts the number of created views (not Tools) stored in the workspace.
create(MenuActionManager)
- Method in class domosaics.ui.io.menureader.
MenuEntry
Creates a JComponent which can be used as MenuItem based on the specified type of the menu entry.
create(DomainViewManagerFactory.DomainViewManager)
- Static method in class domosaics.ui.views.domainview.manager.
DomainViewManagerFactory
Method called to create an instance of a specific manager.
CreateActionException
- Exception in
domosaics.ui.io.menureader
Exception which can be thrown during action creation.
CreateActionException()
- Constructor for exception domosaics.ui.io.menureader.
CreateActionException
CreateActionException(String)
- Constructor for exception domosaics.ui.io.menureader.
CreateActionException
createDesktopDockable(String)
- Method in class domosaics.ui.docking.
DefaultDockableResolver
Creates a new desktop dockable, for instance to store views in it.
createDockable(View)
- Method in class domosaics.ui.docking.
DefaultDockableResolver
Creates a new dockable component to store at a docking desktop based on a view.
createDockableContainer(Dockable, int)
- Method in class domosaics.ui.docking.
SDockableContainerFactory
Returns the component used to modify the expand panel size when expanded from the top.
CreateDomainTreeAction
- Class in
domosaics.ui.actions
CreateDomainTreeAction opens the wizard for creating domain trees
CreateDomainTreeAction()
- Constructor for class domosaics.ui.actions.
CreateDomainTreeAction
createImage(int, int, int)
- Method in class domosaics.ui.views.view.export.
DefaultImageExporter
Creates an image using the specified type within an implementing subclass.
createMenuBar(String, MenuActionManager)
- Static method in class domosaics.ui.io.menureader.
JMenuBarFactory
creates an instanciated JMenuBar from a file path.
createMenuBar(URL, MenuActionManager)
- Static method in class domosaics.ui.io.menureader.
JMenuBarFactory
creates an instanciated JMenuBar from a file URL.
CreateSpeciesTreeAction
- Class in
domosaics.ui.actions
CreateSpeciesTreeAction()
- Constructor for class domosaics.ui.actions.
CreateSpeciesTreeAction
createTabbedDockableContainer()
- Method in class domosaics.ui.docking.
SDockableContainerFactory
Returns the container used for tabbed docking.
CreateTreeAction
- Class in
domosaics.ui.actions
CreateTreeAction()
- Constructor for class domosaics.ui.actions.
CreateTreeAction
createView(ViewType, String)
- Method in class domosaics.ui.
ViewHandler
Uses the
AngstdViewFactory
to create a new view object of the specified type.
createView(ViewType)
- Static method in class domosaics.ui.views.
AngstdViewFactory
The method creating a new view based on a properties file and a menu file.
CreateViewUsingSelectionAction
- Class in
domosaics.ui.views.domainview.actions
CreateViewUsingSelectionAction()
- Constructor for class domosaics.ui.views.domainview.actions.
CreateViewUsingSelectionAction
createWorkspaceDockable(JPanel)
- Method in class domosaics.ui.docking.
DefaultDockableResolver
Creates the workspace dockable out of the WorkspaceView
Overview
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Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
The sharp, bitter salad next to the rich toffee-like sauce balances the smokiness of the haddock rissoles perfectly.
Cook the potatoes in lightly salted boiling water for 15–20 minutes, or until tender. Drain well and mash or push through a ricer..
Pour the double cream into a small frying or sauté pan and bring to a simmer over a medium–low heat. Add the smoked haddock and poach for 5–6 minutes, or until just cooked. Transfer to a plate using a slotted spoon, peel off the skin and put it in the cream. Cook until the cream is almost toffee-like, then remove from the heat and discard the skin.
In a clean, glass bowl, whisk one (30g/1oz) egg white until stiff peaks form.
Break the haddock into a mixer or food processor with a paddle attachment and mix until flaked. Add the mashed potato, béchamel and lemon zest and season with salt and pepper. Continue mixing until everything is just combined.
Fold the beaten egg white into the fish mixture.
Using two tablespoons, quenelle the fish mixture and place on a baking tray. Cover and put in the fridge until they firm up.
Put the rice flour, remaining egg whites and breadcrumbs in separate shallow bowls. Dip each quenelle first in the flour, then in the egg whites, then in the breadcrumbs, before returning it to the tray.
Heat the oil in a deep-frying pan or deep-fat fryer to 180C. (CAUTION: hot oil can be dangerous, do not leave unattended.) Deep-fry the quenelles for 4–5 minutes, or until golden brown, being careful not to overcrowd the pan.
For the salad, put the leaves in a salad bowl. Put the vinegar and oil in a jar and shake well. Pour the vinaigrette over the leaves and toss. Add the dill just before serving.
To serve, spoon the sauce onto four plates, put the rissoles to one side and put the salad next to them.


step_idw.Rd
`step_idw` creates a *specification* of a recipe step that will add a new 'idw' feature to a dataset based on the inverse distance-weighted mean of surrounding observations.
step_idw( recipe, target = NULL, lon = NULL, lat = NULL, role = "predictor", trained = FALSE, neighbors = NULL, dist_power = NULL, metrics = "idw", spatial = NULL, columns = NULL, skip = FALSE, id = rand_id("idw") )
| recipe | A recipe. |
|---|---|
| target | Selector function to choose which variable will be used to create a new feature based on the inverse distance-weighted mean of surrounding observations. |
| lon, lat | Selector functions to indicate which variables should be used to calculate the distance measures to the closest observations. |
| role | role or model term created by this step, what analysis role should be assigned?. By default, the function assumes that resulting distance will be used as a predictor in a model. |
| trained | A logical that will be updated once the step has been trained. |
| neighbors | The number of closest neighbours to use in the distance weighting. |
| dist_power | Distance weighting power. The distance-based weights are raised to this power. Values > 1 cause very proximal observations to be weighted more highly. |
| metrics | Summary metrics to produce. One or multiple of c("idw", "mean", "sd", "raw). |
| spatial | Used internally to store an `sf` object of the spatial locations. |
| columns | Used internally to store the names of the spatial columns. |
| skip | A logical to skip training. |
| id | An identifier for the step. If omitted then this is generated automatically. |
An updated version of `recipe` with the new step added to the sequence of existing steps (if any). For the `tidy` method, a tibble with columns echoing the values of `lat`, `lon`, `neighbors`, `dist_power`, and `id`.
#>library(tidymodels)#>#> ✓ broom 0.5.5 ✓ rsample 0.0.6 #> ✓ dials 0.0.6 ✓ tibble 3.0.0 #> ✓ ggplot2 3.3.0 ✓ tune 0.1.0 #> ✓ infer 0.5.1 ✓ workflows 0.1.1 #> ✓ purrr 0.3.3 ✓ yardstick 0.0.6#> Conflicts ───────────────────────────────────────────────────────────────────────── tidymodels_conflicts() ── #> x purrr::discard() masks scales::discard() #> x dplyr::filter() masks stats::filter() #> x dplyr::lag() masks stats::lag() #> x ggplot2::margin() masks dials::margin() #> x purrr::set_names() masks magrittr::set_names() #> x recipes::step() masks stats::step()data("meuse.all") regr <- rand_forest(mode = "regression", min_n = 1) %>% set_engine("ranger") rec <- meuse.all %>% select(x, y, zinc, elev, dist.m, soil) %>% recipe(zinc ~ .) %>% step_idw(lon = x, lat = y, target = zinc, neighbors = 3, dist_power = 2)


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This website indexes the top 10 cryptocurrencies by market cap (how much the sum of all coins is collectively worth), and gives you an easy way to compare cryptocurrency performance and rank over the last week.
| Rank | Name | Symbol | Price (USD) | 1H | 1D | 1W | Market Cap (USD) |
| {{ coin.rank }} | {{ coin.name }} | {{ coin.symbol }} | {{ coin.price_usd | currency }} | +{{ coin.percent_change_1h }}% | +{{ coin.percent_change_24h }}% | +{{ coin.percent_change_7d }}% | {{ coin.market_cap_usd | currency }} |


Reimbursement Submission Form
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is-dev
Check if you're on a development version or the live version of your site
A tiny script that displays a message if you're on the development version of a site, so you can visually distinguish it from the live version.
Installation
is-dev
is on npm, so installing it is as easy as doing:
$ npm install --save is-dev
Usage
Include either is-dev.js
via a script tag, or require('is-dev')
in your script. After that you can call it like this (all options are optional):
isDev({
dev: [
'.dev',
'localhost',
'file:///'
], // parts of the url that can mean you're developing
message: 'development',
style: 'top-left',
// top-left, top-right, bottom, top, none
custom: 'display: block; background-color: red; font: Comic Sans MS'
// custom css that extends the style
});
Support
IE9 and up (array.map).
License
Apache 2.0


All of the sites that are part of the jQuery Wordpress network use the following markup conventions to apply styling to elements. Please adhere to these conventions if you are working on any of our web sites. This page is a live example of these conventions in action.
The jQuery sites are built with a number of existing libraries and tools. The list below will attempt to catalog the most important ones:
The background colors and logos are set in the base.css
file of the parent theme and are triggered by classes on the body
.
Unless you're setting up a site with a new color scheme and logo, you should just need to use one of the following classes.
body.jquery
(blue)body.jquery-ui
(orange)body.jquery-mobile
(green)body.jquery-foundation
(navy)body.sizzlejs
(red)body.qunitjs
(purple)If you are adding a site with a new logo/color scheme, please add to base.css
. Don't forget the retina version of the logo and the media query to toggle it based on pixel density.
Other colors (like headers, buttons & links) and layout styles specific to the site will be in the style.css
of that site's theme.
Please see the Colors section of the jQuery Brand Guidelines for more information about our color story.
The jQuery sites use 4 typefaces. Please see the Typography section of the jQuery Brand Guidelines for more information about our font choices.
Also for navigation, buttons & actions.
font-family: "klavika-web", "Helvetica Neue", Helvetica, Arial, Geneva, sans-serif;
Used Helvetica Neue for body copy.
font-family: "Helvetica Neue", HelveticaNeue, Helvetica, Arial, sans-serif;
Used Source Code Pro for code blocks.
font-family: "source-code-pro", Consolas, monospace;
Font Awesome lets you add vector icons to just about anything. Use the reference guide to choose the right classes and icons.
This is a paragraph with an
element.

 This is...

Oh No!

A barcode

 Want to...

Please use this basic foundation for all pages:
#container
sets the background color and provides padding around the white content area.#content-wrapper
creates the white content area and gives the appropriate padding.#content
should be used for the main content column.#sidebar
should be used for the secondary column or sidebar.

Header (Global Nav, Logo and Main Nav)

main content

sidebar content

You can easily customize different layouts for #content
.
Images can be floated and given captions very easily.
Have you ever seen an orange up close? It's really bumpy and shiny. Kind of like a martian landscape. Oranges are really hard to get open, too.  Oh, those oranges. They are grand.

Have you ever seen an orange up close? It's really bumpy and shiny. Kind of like a martian landscape. Oranges are really hard to get open, too.  Oh, those oranges. They are grand.

Have you ever seen an orange up close? It's really bumpy and shiny. Kind of like a martian landscape. Oranges are really hard to get open, too.  Oh, those oranges. They are grand.

Hey look a figcaption!

<img src="..." alt="..." class="left noborder"

Hey look a figcaption!

For an embedded element like a YouTube or Vimeo video, iframe
, etc. make sure you wrap the element in an embed
div so that it scales proportionately with media queries.

Styling buttons is as simple as adding a class of button
. Other options include dark
and large
.
Regular Button
Dark Button
Large Button
<input type="submit" value="Submit Button">
<input type="submit" value="Dark Submit Button" class="dark">
<input type="submit" value="Large Submit Button" class="large">

Heading One Looks Like This

Heading Two Looks Like This

Heading Three Looks Like This

Heading Four Looks Like This

Unordered List

Looks Like

This

Ordered List

Looks Like

This

Have you ever seen an orange up close? It's really bumpy and shiny. Kind of like a martian landscape.
Oranges are really hard to get open, too.  Oh, those oranges
. They are grand.

Have you ever seen an orange up close? It's really bumpy and shiny. Kind of like a martian landscape.

Oranges are really hard to get open, too.  Oh, those oranges. They are grand.

// Example Code
var foo = "bar";

// Example Code
var foo = "bar";

Go do something awesome today. You'll be glad you did.

Go do something awesome today. You'll be glad you did.

.block
This gives your header a background and padding. Great for column headings.

Header One Block

This gives your header a background and padding. Great for column headings.

Header Two Block

.center-txt
This is a paragraph that has been centered. It's great, huh? Use this class to center any text.

Header One Centered

This is a paragraph that has been centered. It's great, huh?  Please only use this grid inside of the main foundation mentioned above (i.e. in the #content
or #sidebar
).
We'll have a reference eventually, but for now go here to see how to use the grid.


{{ the_tweet.user_name }} {{ the_tweet.time }} Open in twitter Crawled at {{ the_tweet.created_at }} {{ the_tweet.tweet }}
{{ article.headline }} {{ article.byline }}. Crawled on {{ article.created_at }}. Posted in {{ article.section }} {{ article.body|truncatechars:200 }} Read more
{{ the_tweet.tweet }}


Being able to understand the principles of neuroplasticity benefits people because they are able to practice neuroplasticity. They are able to enhance their learning experience, develop a new range of cognitive abilities and in doing so develop new skill sets such as learning a language or instrument. People that develop an understanding of how neuroplasticity can change the way they approach learning. Those that have a growth mindset are able to more affectively take on difficult tasks and take on new challenges with greater success because they can approach a challenge with a "not yet" mentality. A "not yet" mentality means that if somebody is having difficulty with a paticular task, they are able to tell their 'inner-voice' that they are "not yet" able to complete the task, instead of telling themself that they are unable to complete the task.
I understand that the tasks that I am taking on are difficult. If I am not able to get a concept quickly, I can tell my self "I am not able to do this yet." This will prevent a situation where I give up on something because it is too difficult. Keeping the brain active in different skill sets can also help me learn. For example, if Javascript is doing my head in, I can change to doing some css for a bit then come back with a clean mind. The practice itself is valueable even though the result is not clear straight away. I have already noticed this when learning piano and increasing my typing speed.
Engage In different types of tasks. Such as practicing all skills I have learnt so far (css, html, JS ect). During breaks engage in different types of activities. Such as piano practice, walking dog, going for a ride ect.
Growth mindset is the mindset that allows somebody to take on tasks with a more optamistic approach to a challenge. Those that have a 'growth mindset' can see a difficult task can provide them with an exciting oppertunity to learn. Having a growth mindset is relevent and valueable to everything new you are attempting to learn. In my case it is relevent because I am learning new coding languages, learning to make websites and learning new human skills. Having a growth mindset is therefore an asset to my ability to getting through this course.
I had come across this theory before so nothing was suprising but it was good to be reminded that this applies to the dev academy course and that I sould be practicing having a growth mindset, not a fixed mindset.
I will apply a "not yet" mentality to anything that I am having trouble with. For example If I am trouble with a coding challenge, I will tell my self that I can not yet complete the task but "If I develop these skills I will be able to complete it"
I have already been practicing a growth mindset unknownly. Having learnt a second language and having learnt how to play instuments, I have practiced neuroplasticity. But I haven't yet related these activities until this research so having learnt what growth mindset actually means and what neuroplasticity is, I can now conciously be aware of the benifits of practicing these princibles are and in doing so, improve the way I learn.


"""Module to implement the techniques for reducing dimensions of features."""
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.decomposition import PCA, FastICA
[docs]class Dimension:
"""Class with implemented techniques for reducing dimensions of features."""
[docs] @staticmethod
def get_correlation_matrix(X: pd.DataFrame):
"""Calculate the correlation matriz of data features.
:param X: Dataset of features and samples
:type X: pd.DataFrame
:return: Dataframe with correlation between variables
:rtype: pd.DataFrame
"""
samples, nvar = X.shape
corr_mat = np.corrcoef(np.c_[X].T)
etiquetas = X.columns.values.tolist()
# DataFrame with correlations between variables
return pd.DataFrame(corr_mat, columns=etiquetas, index=etiquetas)
[docs] @staticmethod
def get_PCA(X: pd.DataFrame, **kwargs):
"""Apply PCA technique to reduce dimensionality.
:param X: Dataset of features and samples
:type X: pd.DataFrame
:return: PCA results
:rtype: obj
"""
samples, nvar = X.shape
pca = PCA(**kwargs)
pca.fit(X)
return pca


Jedi IO
Status
Description
Scala uniform, fluent access to files, urls and other resources API. Fluent for java too.
Features
- HierarchicalMultimap should be case insensitive and should have operations to: add/remove from map and contains
- integrate apache commons vfs via Locations.vfs("...")
- UrlLocation transparently manages
- handle redirects
- good RequestHeader defaults
- reuse already opened HttpConnections
- use proxy if using scalaj/http library
- manage backpresure from server
- [TODO] connection timeout temporarly
- [TODO] maximum connections/ip-hostname? for a specified timeframe?
- [TODO] delay between requests to same server
- [TODO] non-blocking IO returning Future/Observable ?
- Version and Etag that is changed if file is changed. A change version/tag doesn't warranty a change in file content.
- Types of Locations
- Abstract Locations
- InputLocation - locations that can be read
- OutputLocation - locations that can be written
- InOutLocation - location that can be read/written
- RelativeLocation - part of a location. Cannot be resolved to some content.
- NavigableLocation - location for which you can find parent/childrens/descendants.
- VersionedLocation - location trait with Version/Etag/UniqueId
- Physical Locations
- FileLocation - HasContent, NoChildren
- FolderLocation - NoContent, HasChildren
- MemoryLocation - read/write in memory content - useful for tests.
- ClasspathLocation - InputLocation from classpath.
- Stream Location - location from a InputStream. Might not be reopened.
- TempLocation - location in the temporary file system.
- UrlLocation - location from a url. Follows redirects if needed
- VfsLocation - location based on Apache-Vfs library
- ZipInputLocation - location around zip files
- natural sorting for listing files
- Operation Options
- CopyOptions: copy metadata forced or optionally if exists
- OperationMonitor: log warnings
- Default copy should use links. If needed you can specify duplicateContent.
Usage
Samples
```
//Reading from a file:
Locations.file("/home/costin/myfile.txt").readContent
//Copying a file to a new folder (and create parent folder if needed)
Locations.file("/home/costin/myfile.txt").
copyTo(Locations.file("/home/costin/folder2/myfile2.txt").mkdirOnParentIfNecessary))
//Copying a file to a new relative folder (and create parent folder if needed)
Locations.file("/home/costin/myfile.txt").
copyTo(Locations.relative("folder3/myfile2.txt")))
//read content from classpath
val text = Locations.classpath("META-INF/maven/org.slf4j/slf4j-api/pom.properties").
readContentAsText.get
//get a stream from classpath
val text = Locations.classpath("META-INF/maven/org.slf4j/slf4j-api/pom.properties").toInputStream
```
For more samples see LocationsTest.scala
Library
libraryDependencies += "org.raisercostin" %% "jedi-io" % "0.18"
- maven resolver at bintray - http://dl.bintray.com/raisercostin/maven
resolvers += "raisercostin repository" at "http://dl.bintray.com/raisercostin/maven"
Development
Projects that are using jedi-io:
- https://github.com/raisercostin/ownit
- https://github.com/raisercostin/my-scala-scripts (see here a script for bulk uploading/importing maven artefacts from a repository/svn/folder to bintray)
- to configure release
bintrayChangeCredentials
- to release
sbt> release skip-tests
History
2017-12-06
- Locations.fromString("content"):MemoryLocation
Backlog
- remove tests from binary release
- add Haddop/Spark like executor for windows: \
- winutils from hadoop
- https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/FileSystemShell.html
- https://stackoverflow.com/questions/38233228/spark-on-windows-what-exactly-is-winutils-and-why-do-we-need-it
- explain concepts
- add File/Folder concepts
- operations on files/folders
- operations on lists of files/folders (like manual selections or filters in OFM)
- make it async
- make a small 2panel file manager - see trolCommander - other file managers
- Locations.url("file://...") should create a FileLocation?
- add FileStore
- AddHttpsWritable via vfs - http://detailfocused.blogspot.ro/2009/06/add-plugin-for-apache-vfs.html
- add Locations:
- StreamProviderLocation - location that knows how to open a stream
- CachedLocation - location that reads the original location only if the cache expired. Useful around UrlLocation, ZipLocation, etc. Check version if changed read origin.
- MetadataLocation - location that saves metadata associated with the file. See osx files, ds-
- investigate
- scala arm - http://jsuereth.com/scala-arm/continuations.html
- scala io - https://github.com/scala-incubator/scala-io
- spray -
- akka streams -
- UrlLocation use RequestHeader for mime type and reader encoding. Maybe we need MetadataLocation
- clarify operations
- do actions (need to resolve to the filesystems)
- just change in memory representation
- both Resolved/Absolute and Relative could act as destination if they are resolved with src.
absolute.asDestination(src)=>absolute2
and relative.asDestination(src)=>absolute3
- see from here https://wiki.apache.org/commons/VfsNext . Is already integrated with vfs.
- add transactional aspect as an option http://wiki.c2.com/?TransactionalFileSystem
- store metadata as YAML (hierarchy, use anchors). Should be useful for id3(mp3), exif(image files) etc.
- add hierachical map (apache collections - MultiValueMap & HierarchicalConfiguration, guava - Multimap, spring - MultiValueMap, me - HierarchicalMultimap
- apache commons config
- https://commons.apache.org/proper/commons-configuration/javadocs/v1.10/apidocs/org/apache/commons/configuration/Configuration.html
- https://commons.apache.org/proper/commons-configuration/userguide/howto_basicfeatures.html
- http://commons.apache.org/proper/commons-configuration/userguide/howto_properties.html#Using_PropertiesConfiguration
- https://github.com/Telefonica/java-plainmap
- see config libraries: http://javaeeconfig.blogspot.ro/2014/08/overview-of-existing-configuration.html
- https://docs.spring.io/spring-boot/docs/current/reference/html/boot-features-external-config.html
- apache Configuration vs typesafe Config
- https://stackoverflow.com/questions/15658310/scala-load-java-properties
- https://stackoverflow.com/questions/1432481/multiple-values-in-java-util-properties
- guava ListMultimap via Serializable - https://stackoverflow.com/questions/17697974/writing-and-reading-listmultimapobject-object-to-file-using-properties
- design:
- FileSystems: sink, source, traverse(list, ...), mount/unmount
- Items
- src/from - dest/to
- folder/files
- selected items
- manually
- filters
- Operations between Items with the Operation Config/Operation Strategy
- copy
- followsymlinks
- including metadata
- overwrite
- recursive
- using symlinks
- move
- see java.lang.ProcessBuilder.Redirect with types like: READ, WRITE, PIPE, from, to
Technology Selection
Hierarchical Map
A container of keys in form a.b.c is needed.
The value could be multivalue eventually typed : Seq(value1,value2,value3).
Given a container and a key prefix another container should be returned with partial keys prefix removed.
A refereence to full key might be useful. A relativeKey concept might be useful?
A save/load from hocon, yaml would be nice.
A business wrapper around a Config should be easy to use.
Resources
- http://javapapers.com/java/file-attributes-using-java-nio/
- https://docs.oracle.com/javase/tutorial/essential/io/fileAttr.html
- http://docs.oracle.com/javase/tutorial/essential/io/links.html#detect
- http://www.javacodex.com/More-Examples/1/8


property ClipRect: TRect;
Determines the clipping rectangle that all safe drawing operations are clipped to.
If no clipping rectangle is set, ClipRect is equal to the current dimension of the bitmap.
Note: Validation is performed upon setting of a clipping rect, so the clip rect is always sane.


---
layout: member-page
title: Grace Li
class_of: 2023
bio: "Nice to meet you! I'm an undergraduate design major who loves story-driven games that stretch the bounds of my imagination. Some of my favorites are Fire Emblem: The Blazing Blade, and Oxenfree.
I joined GCS to meet new people and learn about interactivity. Character art and UI are my specialties!"
last_updated: February 1, 2021
# Optional
social_links: {
LinkedIn: "https://www.linkedin.com/in/grace-li-24471919b/"
}
profile_pic: "Grace photo square - Grace Li.jpg"
website: "https://www.gracelidesign.com/"
---