TValidatorClientSide class.
Client-side validator events can be modified through the TBaseValidator::getClientSide property of a validator. The subproperties of ClientSide are those of the TValidatorClientSide properties. The client-side validator supports the following events.
The <tt>OnValidate</tt> event is raise before the validator validation functions are called.
The <tt>OnValidationSuccess</tt> event is raised after the validator has successfully validate the control.
The <tt>OnValidationError</tt> event is raised after the validator fails validation.
See the quickstart documentation for further details.
Located in /Web/UI/WebControls/TBaseValidator.php (line 614)
TComponent | --TClientSideOptions | --TValidatorClientSide
Client-side OnValidate validator event is raise before the validators validation functions are called.
Client-side OnError event is raised after validation failure.
This will override the default client-side validator behaviour.
Client-side OnSuccess event is raise after validation is successfull.
This will override the default client-side validator behaviour.
Inherited From TClientSideOptions
TClientSideOptions::__construct()
TClientSideOptions::ensureFunction()
TClientSideOptions::getOption()
TClientSideOptions::getOptions()
TClientSideOptions::setFunction()
TClientSideOptions::setOption()
Inherited From TComponent
TComponent::addParsedObject()
TComponent::attachEventHandler()
TComponent::canGetProperty()
TComponent::canSetProperty()
TComponent::createdOnTemplate()
TComponent::detachEventHandler()
TComponent::evaluateExpression()
TComponent::evaluateStatements()
TComponent::getEventHandlers()
TComponent::getSubProperty()
TComponent::hasEvent()
TComponent::hasEventHandler()
TComponent::hasProperty()
TComponent::raiseEvent()
TComponent::setSubProperty()
TComponent::__get()
TComponent::__set()
Documentation generated on Mon, 22 Feb 2010 12:16:48 +0000 by phpDocumentor 1.3.0RC4


currently a full stack developer based in portland oregon, and am 100% willing to relocate for the right job. a few things i enjoy... breaking things. fixing things. learning things. building things. (not necessarily in that order.)
I consider myself a Jack of many trades. I've held a number of different positions over the years, and Each one has helped shape me into a well-rounded developer with a unique & broad skillset.
More than making stunning web content and software applications, I enjoy working with people. I believe wholeheartedly that coding is a team sport. Nothing great can be done alone, and a healthy relationship with my teammates is a vital prerequisite for success.
Here are some of those hats I was talkin about earlier:


Productivity
Here are some tips from productivity research that I have found to be most helpful. Adapt as needed to your style.
- Completely eliminate distractions (e.g., shut down email, slack, facebook, notifications, etc.). This will be hard to do at first, but you will be far more effective with focused periods of work punctuated by breaks, as compared to longer sessions with distractions. Don’t try to “multitask”. Periodic breaks are necessary to maintain focus at a high level. Taking a walk is more restorative than surfing the web.
- Do the hardest and most important thing(s) first each day, or more generally at the times when you energy is highest. Tasks that are urgent (i.e., homework, things with deadlines) will get done. Some of these are important and some are not so important. The real danger is to let things that are critically important, but not urgent, slip by with only occasional attention. You need to put these “big rocks” in your schedule first, then let the other things fit in or eliminate them if they are nonessential.
- You’d be amazed what you can accomplish with short but consistent efforts. Research on writers suggests that they are a lot more productive when they write a little each day, as compared to more sporadic marathon sessions. Figure out what is most important, and make sure you are doing at least a little bit each day on your most important tasks.
- Plan and schedule every day. Set aside time to consider what is most important and what you should work on that day (or the next day if you like planning at the end of the day). Of course, some adaptability is always needed, but without a schedule you are likely to spend too long on things that don’t need that much attention, or to put off things that are hard because you don’t feel like them at the moment. Having the discipline to follow your schedule, and learning how to schedule effectively, will help you make progress towards your important goals, and help you avoid last minute scrambles.
- In addition to daily scheduling, you need to step back and periodically reevaluate your long term goals and objectives (maybe once a month or once a semester). Focus on what is essential, and let nonessential things drop away. There are a lot of good things one could do, but you need to make sure you are focused on what is best.
-
Be results oriented. It is easy in research to let less important pursuits consume too much attention because they are easier. For example, one can get caught up in excessive planning, code documentation, feature development, or code testing (don’t misunderstand all of these are important!).
- Set boundaries. You need to take care of your mental, physical, and spiritual health or your productivity will plummet. Ensuring that you get adequate sleep is essential. Honoring the Sabbath Day is not just good for your spiritual health, but a weekly complete break from work is good for your mental health. As you get married, and particularly as you have kids, you will need to set boundaries on your evenings. Sometimes you’ll still need to work in the evenings, but be deliberate about it as opposed to being in an always-on email-checking state. If you don’t have kids, evenings may be one of the most productive working times for you, but you still need to set boundaries around some personal time each day where you can renew.
- Usually the most important things we work on don’t come with their own deadlines. You’ll need to learn to set and enforce your own milestones. Setting them is easier, but enforcing them is hard. Too often people blow by their own deadlines, and if there are no real consequences they rationalize and just make new deadlines. Adaptability is always important, but treat your deadlines like you would homework or any other hard deadline. Create real consequences if necessary. Even better than negative consequences, create compelling rewards for achieving your internal deadlines.
-
Batch less important tasks. Email should be done in batches. It’s much more efficient to wait a few hours and respond to 10 emails in one short sitting, then to respond to them sporadically throughout the day. Keep a list of short tasks that need to be done. When you only have a few minutes, and it would be ineffective to start on something new, you can knock out a few of these short tasks.
-
Network. Most people underestimate the importance of networking. It is vitally important. Get to know the other students and faculty members around you. Don’t be afraid to email or approach people whose names are on the research papers you are reading. More often than not they will be flattered to talk to you about their work. At the same time, look for opportunities to mentor and help others.
-
At the end of the day, keep in mind that productivity is not the real goal. Its a means to an ends. Don’t let yourself get caught up in defining your worth by your productivity. You should maintain a hunger for growth or improvement, but never devalue your own great worth.


Charles E Lambert
PS2
Q1
Q2
Q3
Q4
PS2 World Bank data analysis
Mexico vs Costa Rica
Start
Stop
Start
Stop
Start
Stop
Time Step
© Charles E. Lambert


| AIC.breakpointsfull | Log Likelihood and Information Criteria for Breakpoints |
| BostonHomicide | Youth Homicides in Boston |
| boundary | Boundary Function for Structural Change Tests |
| boundary.efp | Boundary for Empirical Fluctuation Processes |
| boundary.Fstats | Boundary for F Statistics |
| boundary.mefp | Boundary Function for Monitoring of Structural Changes |
| breakdates | Breakdates Corresponding to Breakpoints |
| breakdates.breakpoints | Breakdates Corresponding to Breakpoints |
| breakdates.confint.breakpoints | Breakdates Corresponding to Breakpoints |
| breakfactor | Factor Coding of Segmentations |
| breakpoints | Dating Breaks |
| breakpoints.breakpointsfull | Dating Breaks |
| breakpoints.formula | Dating Breaks |
| breakpoints.Fstats | Dating Breaks |
| catL2BB | Generators for efpFunctionals along Categorical Variables |
| coef.breakpointsfull | Dating Breaks |
| confint.breakpointsfull | Confidence Intervals for Breakpoints |
| df.residual.breakpointsfull | Dating Breaks |
| DJIA | Dow Jones Industrial Average |
| durab | US Labor Productivity |
| efp | Empirical Fluctuation Processes |
| efpFunctional | Functionals for Fluctuation Processes |
| fitted.breakpointsfull | Dating Breaks |
| Fstats | F Statistics |
| gefp | Generalized Empirical M-Fluctuation Processes |
| GermanM1 | German M1 Money Demand |
| Grossarl | Marriages, Births and Deaths in Grossarl |
| historyM1 | German M1 Money Demand |
| lines.breakpoints | Dating Breaks |
| lines.confint.breakpoints | Confidence Intervals for Breakpoints |
| lines.efp | Plot Empirical Fluctuation Process |
| lines.Fstats | Plot F Statistics |
| lines.mefp | Plot Methods for mefp Objects |
| logLik.breakpoints | Log Likelihood and Information Criteria for Breakpoints |
| logLik.breakpointsfull | Log Likelihood and Information Criteria for Breakpoints |
| maxBB | Functionals for Fluctuation Processes |
| maxBBI | Functionals for Fluctuation Processes |
| maxBM | Functionals for Fluctuation Processes |
| maxBMI | Functionals for Fluctuation Processes |
| maxL2BB | Functionals for Fluctuation Processes |
| maxMOSUM | Generators for efpFunctionals along Continuous Variables |
| meanL2BB | Functionals for Fluctuation Processes |
| mefp | Monitoring of Empirical Fluctuation Processes |
| mefp.efp | Monitoring of Empirical Fluctuation Processes |
| mefp.formula | Monitoring of Empirical Fluctuation Processes |
| monitor | Monitoring of Empirical Fluctuation Processes |
| monitorM1 | German M1 Money Demand |
| ordL2BB | Generators for efpFunctionals along Categorical Variables |
| ordwmax | Generators for efpFunctionals along Categorical Variables |
| PhillipsCurve | UK Phillips Curve Equation Data |
| plot.breakpointsfull | Dating Breaks |
| plot.efp | Plot Empirical Fluctuation Process |
| plot.Fstats | Plot F Statistics |
| plot.gefp | Generalized Empirical M-Fluctuation Processes |
| plot.mefp | Plot Methods for mefp Objects |
| plot.summary.breakpointsfull | Dating Breaks |
| print.breakpoints | Dating Breaks |
| print.confint.breakpoints | Confidence Intervals for Breakpoints |
| print.efp | Empirical Fluctuation Processes |
| print.Fstats | F Statistics |
| print.gefp | Generalized Empirical M-Fluctuation Processes |
| print.mefp | Monitoring of Empirical Fluctuation Processes |
| print.summary.breakpointsfull | Dating Breaks |
| rangeBB | Functionals for Fluctuation Processes |
| rangeBBI | Functionals for Fluctuation Processes |
| rangeBM | Functionals for Fluctuation Processes |
| rangeBMI | Functionals for Fluctuation Processes |
| RealInt | US Ex-post Real Interest Rate |
| recresid | Recursive Residuals |
| recresid.default | Recursive Residuals |
| recresid.formula | Recursive Residuals |
| recresid.lm | Recursive Residuals |
| residuals.breakpointsfull | Dating Breaks |
| root.matrix | Root of a Matrix |
| scPublications | Structural Change Publications |
| sctest | Structural Change Tests |
| sctest.default | Structural Change Tests in Parametric Models |
| sctest.efp | Generalized Fluctuation Tests |
| sctest.formula | Structural Change Tests in Linear Regression Models |
| sctest.Fstats | supF-, aveF- and expF-Test |
| sctest.gefp | Generalized Empirical M-Fluctuation Processes |
| simulateBMDist | Functionals for Fluctuation Processes |
| solveCrossprod | Inversion of X'X |
| SP2001 | S&P 500 Stock Prices |
| summary.breakpoints | Dating Breaks |
| summary.breakpointsfull | Dating Breaks |
| supLM | Generators for efpFunctionals along Continuous Variables |
| time.gefp | Generalized Empirical M-Fluctuation Processes |
| USIncExp | Income and Expenditures in the US |
| vcov.breakpointsfull | Dating Breaks |


In this section, 'STUDY' is mainly divided into 'Courses' and 'Professional Examinations'. Among them, we will introduce each subject of finance majors in the perspective of the seniors, including teacher, course main content, courseware, past paper and review materials. For professional examinations, we mainly introduce the exams of CFA and ACCA for everyone, and update exam time, experience introductions and exam coaching videos.
In this section, we mainly create a career development forum. We will publish the time and place of each job fair and recruiting companies to provide a platform for students to seek employment. At the same time, we are also pleased that alumni who already have work go back to the school to recruit talents. We will release recruitment information for them.
In this section, we mainly show you some of the high-frequency questions students asked and seniors' answers. At the same time, we are also pleased everyone to ask questions actively. We will publish the questions and edit their answers timely for your reference.


League of Legends level
Choose a player and his region to track when he gains a level.
Get progressionLeague of Legends BO
Choose a player and his region to track when he enters a BO.
See summoner's Best OfChoose a player and his region to track when he gains a level.
Get progressionChoose a player and his region to track when he enters a BO.
See summoner's Best Of


Warrior's Grave:
Good!
Remember, the warrior song contains 3 verses. The memorial ceremony can be completed only when you perfectly sing every single scale of each verse.
Are you ready?
Sing the warrior song.


JavaZone 2023
Submit your talk
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We’ll email you a unique login link. Then you can start creating your talk.


Roberto Clemente Walker was not only an amazing baseball player but a great humanitarian and a national hero. On December 23rd 1972, a massive earthquake affected Managua, Nicaragua. He started making emergency relief arrangements immediately and on December 31st 1972, he took off from the San Juan, Puerto Rico airport to Managua to help with the crisis. Moments after taking off his plane crashed in the Atlantic ocean. To honor his memory, the MLB named the award for humanitarian of the year as the "Roberto Clemente Award".
Make sure to visit his Wikipedia page to learn more about his life.


Directory Structure¶
The current directory structure in Drake is organized to (1) group functional components, (2) limit dependencies, and (3) prevent circular dependencies.
Special Directories¶
All code that implements core functionality in Drake must adhere to the strict
code standards described in Developer Notes, and must
have unit test coverage via code implemented in a test
subdirectory
immediately below the core implementation.
To promote rapid development of research ideas within the code base,
we allow for some exceptions to this rule for experimental code. This includes
any subdirectory labeled dev
and directories with a special README.md
file describing the protocol for that directory. For PRs that affect only these
experimental directories, one feature review is sufficient; platform review is
not required. If build or test targets in these directories break, and the PR
author or on-call build cop cannot trivially resolve them, a GitHub issue will
be assigned to the author of the code. If the issue is not resolved within 24
hours, the core development team may disable the offending targets.
The BUILD.bazel
rules for special directories must live within the
directory itself, not a parent directory. (For example, foo/BUILD.bazel
must not say srcs = ["dev/bar.cc"],
; instead, foo/dev/BUILD.bazel
must exist and must say srcs = ["bar.cc"],
.) This ensures that all dev
code has a package name that clearly denotes it as such.
Controlling Dependencies¶
We would like to avoid circular dependencies in the source code tree. For
example, some code in drake/systems
depends on code in drake/solvers
, so
code in drake/solvers
should not depend on drake/systems
.
The drake/examples
directories are logically after all of the core libraries
in drake
. test
directories located throughout the code are logically
last in the dependency tree – they are allowed to depend on any of the other
directories. For example, test
code is allowed to use models/code from
the examples
directories to test core functionality, as long as that
dependency is explicitly declared in the build system rules for that test.


Gecode::Search::Options Class Reference
#include <search.hh>
Detailed Description
Search engine optionsDefines options for search engines. Not all search engines might honor all option values.
- c_d as minimal recomputation distance: this guarantees that a path between two nodes in the search tree for which copies are stored has at least length c_d. That is, in order to recompute a node in the search tree, c_d recomputation steps are needed. The minimal recomputation distance yields a guarantee on saving memory compared to full copying: it stores c_d times less nodes than full copying.
- a_d as adaptive recomputation distance: when a node needs to be recomputed and the path is longer than a_d, an intermediate copy is created (approximately in the middle of the path) to speed up future recomputation. Note that small values of a_d can increase the memory consumption considerably.
Full copying corresponds to a maximal recomputation distance c_d of 1.
All recomputation performed is based on batch recomputation: batch recomputation performs propagation only once for an entire path used in recomputation.
Definition at line 224 of file search.hh.
Public Member Functions | |
| Options (void) | |
| Initialize with default values. | |
Public Attributes | |
| unsigned int | c_d |
| Create a clone after every c_d commits. | |
| unsigned int | a_d |
| Create a clone during recomputation if distance is greater than a_d. | |
| Stop * | stop |
| Stop object for stopping search. | |
Static Public Attributes | |
| static const Options | def |
| Default options. |
Constructor & Destructor Documentation
| Options::Options | ( | void | ) | [inline] |
Member Data Documentation
| unsigned int Gecode::Search::Options::c_d |
| unsigned int Gecode::Search::Options::a_d |
const Options Options::def [static] |
The documentation for this class was generated from the following files:
- gecode/search.hh (Revision: 7310)
- gecode/search/options.cc (Revision: 6295)
- gecode/search/options.icc (Revision: 6273)


{% extends 'layout.html' %}
{% block additionalscripts %}
{% endblock %}
{% block body %}
Are you interested in saving for education?
Yes1. Which level of education are you interested in saving?
2. Current age as of 2017: (yourself/ your kid)
3. When do you hope to achieve your final goal?
4. How much do you intend to put aside from your savings to education? (monthly)
SGD$Estimated amount for individual education level (Singaporean & PR):


CHURCH, Theresa Ann Kelly
Date of death: November 11, 2019
Date of birth: 1962
Age: 62
Location: Kitchener, Ontario
Family
- Spouse: Jay
- Children: Devin (Becky), Sarah
- Parents: Joyce Kelly, Peter Kelly
- Siblings: Mike Kelly, Peter Kelly
Visitation: Saturday, November 16, 2019, from 2-4 & 7-9 p.m, at the Erb & Good Family Funeral Home, 171 King St. S., Waterloo.
Service: Monday, November 18, 2019, at 10 a.m at St. Anthony Daniel RC Church, 29 Midland Dr., Kitchener. Rev. Tim Theriault as Celebrant. Reception to follow.


public enum PolygonGridShift extends java.lang.Enum<PolygonGridShift>
PolygonGrid
.
Valid choices depend on the underlying RegularPolygon
. Specifies how
even-numbered rows or columns are shifted, relative to odd-numbered ones. For
this purpose, counting starts at one for the PolygonGrid
row or column
at index position zero, so the first row or column is considered odd-numbered.| Enum Constant and Description |
|---|
COLUMN_DOWN
Specifies that even-numbered columns are shifted downward.
|
COLUMN_UP
Specifies that even-numbered columns are shifted upward.
|
NONE
Specifies that no rows or columns are shifted.
|
ROW_LEFT
Specifies that even-numbered rows are shifted left.
|
ROW_RIGHT
Specifies that even-numbered rows are shifted right.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
anyColumns()
Indicates whether the
PolygonGridShift shifts any columns. |
boolean |
anyRows()
Indicates whether the
PolygonGridShift shifts any rows. |
boolean |
isDownColumn(int column)
Determines whether the specified column is shifted down compared to its neighbors.
|
boolean |
isLeftRow(int row)
Determines whether the specified row is shifted left compared to its neighbors.
|
boolean |
isRightRow(int row)
Determines whether the specified row is shifted right compared to its neighbors.
|
boolean |
isUpColumn(int column)
Determines whether the specified column is shifted up compared to its neighbors.
|
static PolygonGridShift |
valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.
|
static PolygonGridShift[] |
values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final PolygonGridShift NONE
NONE
is the only valid choice for a square grid
with PolygonOrientation.ON_EDGE
orientation.public static final PolygonGridShift COLUMN_UP
COLUMN_UP
and COLUMN_DOWN
are the only valid choices
for a hexagon grid with PolygonOrientation.ON_EDGE
orientation.public static final PolygonGridShift COLUMN_DOWN
COLUMN_UP
and COLUMN_DOWN
are the only valid choices
for a hexagon grid with PolygonOrientation.ON_EDGE
orientation.public static final PolygonGridShift ROW_RIGHT
ROW_RIGHT
and ROW_LEFT
are the only valid choices
for a hexagon grid with PolygonOrientation.ON_VERTEX
orientation.public static final PolygonGridShift ROW_LEFT
ROW_RIGHT
and ROW_LEFT
are the only valid choices
for a hexagon grid with PolygonOrientation.ON_VERTEX
orientation.public static PolygonGridShift[] values()
for (PolygonGridShift c : PolygonGridShift.values()) System.out.println(c);
public static PolygonGridShift valueOf(java.lang.String name)
name
- the name of the enum constant to be returned.java.lang.IllegalArgumentException
- if this enum type has no constant with the specified namejava.lang.NullPointerException
- if the argument is nullpublic boolean anyColumns()
PolygonGridShift
shifts any columns.true
for COLUMN_UP
or COLUMN_DOWN
, else false
public boolean anyRows()
PolygonGridShift
shifts any rows.public boolean isDownColumn(int column)
false
if anyColumns()
is false
.column
- the zero-based index of the column to testtrue
if column
is shifted down, else false
public boolean isLeftRow(int row)
false
if anyRows()
is false
.row
- the zero-based index of the row to testtrue
if row
is shifted left, else false
public boolean isRightRow(int row)
false
if anyRows()
is false
.row
- the zero-based index of the row to testtrue
if row
is shifted right, else false
public boolean isUpColumn(int column)
false
if anyColumns()
is false
.column
- the zero-based index of the column to testtrue
if column
is shifted up, else false


After you click "Classify Website" button, website classification starts. Feel free to close the extension and browse the webpage while waiting for the result.
 Remember that classification is a helpful hint, not a definitive answer and the best way to fight misinformation online is to gain more knowledge.
Created by: Jakub Zawadowicz


{% extends "base_app.html" %} {% load static %} {% block inner %} Settings About you Email settings Account Security Password {% csrf_token %} About you Name {{ user.username }} Your name appears on your Profile page, as your byline, and in your responses. It is a required field. Bio {{ user.bio }} Your bio appears on your Profile page. Max 160 characters. Photo Your photo appears on your Profile page and your stories. Recommended size: Square, at least 1000 pixels per side. File type: JPG, PNG. Email settings Your Email {{ user.email }} primary Your email by default will not appears on your Profile page, It is a required field. Account Username https://djraft.herokuapp.com/@{{ user.username }} This will appear in Djraft url Security Sign out of all other sessions This will sign you out of sessions in other browsers or on other computers. Sign out sessions Password settings Reset password We will send the link to your email in order to reset your password. You can't use the same password to create your new password. Reset Password Save Changes {% endblock %}


| OPERATORS |
These do not work the same as Boolean operators, they only apply to one word,
they do not modify the relationship between words. Use a + to require a word be present,
use a - to exclude a word, if not specified the assumed operator is OR |
- nuclear +family (finds any record with nuclear AND family, and
any record with family)
- +nuclear +family (finds any record with nuclear AND family)
- nuclear -family (finds any record with nuclear AND NOT family, and any record without family)
- +nuclear -family (finds any record with nuclear AND NOT family)
|


{%- assign items = "nature,people,landscape,street,animals,urban,abstract" | split: "," %}
{%- for item in items %}
{%- endfor %}
--- layout: none title: Photography ---
{% include head.html gallery=true %}


BUDGET
Add and track your wedding expenses with our effortless budgeting system.
CHECKLIST
Stay in the know with a checklist to ensure you get your wedding to-do's done before the wedding I do's.
ESTIMATE
We know creating wedding budgets can be overwhelming and tend to change, this is why we provide estimates for budgeted items to keep track of your goal budget.


The course focuses in teaching the distributed systems concepts through projects. The lectures prepare the students to execute the assignments.
Project report templateLecture 1
January 14th, 2020
Students should understand what the course is about and what is expected from them.
TOPICS- Introduce students to software as a service life cycle
- Introduce students to Distributed Systems
- Introduce students to Lecture Topics
- Introduce students to project Themes
Lecture 2
January 16th, 2020
Students should understand the expectations from course and project action plan.
TOPICS- Discuss project motivating goals.
- Overview of Project mechanics and deadlines.
- Concept diagram and expectations for project 1.
- Example weather prediction use case for project 1.
Lecture 3
January 21st, 2020
Students should understand requirements for first assignment and how to use GitHub.
TOPICS- Details on Assignent #1
- Overview of GitHub and useful practices
Lecture 4
January 23rd, 2020
Students should concrete ideas to get started on project1.
TOPICS- More Assignent #1 details and example plot
- LEAD Project, more Weather motivation
Lecture 5
January 28th, 2020
Students should understand messaging systems and their applications to microservice architectures.
TOPICS- Microservices and messaging introduction
Lecture 6
January 30th, 2020
Students should understand how to use log-centric messaging systems, the advantages of log-centric architectures, and how to build horizontally scalable systems
TOPICS- Microservices messaging with log-based messaging
- Building scalable, cloud-native applications
Lecture 7
February 4th, 2020
Students should understand how to use binary data serialization frameworks
TOPICS- Protocol Buffers Data Serialization
- gRPC and Thrift Binary RPC Frameworks
Lecture 8
February 6th, 2020
Students should understand basics of service discovery and information management
TOPICS- Characteristics of cloud native systems
- CAP Theorem and scalability
- Zookeeper case study
Lecture 9
February 11th, 2020
Students should understand how to validate the project
TOPICS- Checklist for Assignment 1
Lecture 10
February 13th, 2020
Students should peer review guidelines
TOPICS- TA question and answer session on grading and peer reviews.
Lecture 11
February 18th, 2020
Students should understand Cluster Management
TOPICS- Cluster Management
- Containers
Lecture 12
February 20th, 2020
Students should understand what Kubernetes does and how to use it
TOPICS- Kubernetes overview
- Hands on demos
Lecture 13
February 25th, 2020
Students should understand Cloud Concepts and Jetstream
TOPICS- Jetstream Cloud overview
- Do's and Dont's on OpenStack Cloud Infrsatruture
Lecture 14
February 27th, 2020
Students should preview requirements for scientific cyberinfrastructure as a class of distributed systems. Students should understand common microservice design patterns.
TOPICS- Review design patterns
- FutureWater Science Gateway
Lecture 15
March 12th, 2020
Students should understand Project 3 Goals
Project 3 Options- Service Mesh Evaluations
- Performance Testing of Airavata Custos Security
- Performance Testing of Airavata Managed File Transfer
Lecture 17
April 2nd, 2020
Students should have a basic understanding of Service Meshes for Microservices
Project 3 Options- Service Mesh Overview
Lecture 18
April 7th, 2020
Students should understand use of logs to manage distributed state and the Raft consensu protocol
Project 3 Options- Log-Centric Distributed Systems
- Consensus algorithms
- The Raft protocol
Lecture 19
April 14th, 2020
Students should understand advanced Raft issues such as changing cluster members, snapshotting, and Byzantine failures
Topics- Cluster membership changes
- Log snapshotting
- Byzantine fault tolerance
- Other security considerations
Lecture 20
April 21st, 2020
Students should understand basic security concepts and requirements of science gateway cyberinfrastructure
Topics- Gateway tiers and security
- Basic network security concepts
- OAuth2 concepts and applications
- OpenID Connect authentication
Lecture 21
April 23rd, 2020
Students should gain a basic understanding of the SWIM peer-to-peer protocol
Topics- Limits of strong leader systems and heartbeating
- SwIM Fault Detection
- SWIM Gossip-Style Dissemination
Lecture 22
April 28th, 2020
Students should gain a basic understanding of Bitcoin, Blockchain, and Distributed Ledgers
Topics- State and State Changes
- Bitcoin and Blockchain basics


{% extends '_base.html' %} {% block title %}About page{% endblock %} {% block content %}
Sentiment Analyser is an open-source project for sentiment analysis. It extracts public information from various API and visualizes the data.
Software Requirements Specification (SRS) {% endblock content %}


--- layout: page weight: 1000 title: Using the Template Engine breadcrumbs: true navigation: show: true ---
Template Engine enables seamless collaboration between marketers, developers, and designers, allowing each to work within SendGrid's user interface to edit and create email templates for transactional emails. Learn how to empower your marketers to edit transactional emails, and let your developers focus on building.


It has been roughly 20 days since the day of a year launch of this blog site. I have been paying attention on the Alexa rank for my site and it has been improved a lot since. The day of a year launch of this blog site which is roughly 20 days ago, the site was rank at
And now at
In addition, my blog site now has information on top keywords from search engines (which search keywords send traffic to my site) in Alexa site,
It seems like people who are interested in using hls.js to play video or to enable access control with Apache cors comes to my site a LOT.
Which correspond to these two blog,
Hope you found these statistics to be interesting and PLEASE leave any comment if you have any questions.
Enjoy the rest of your day!
Cheers,
Baron


Top Laner - Within a drafted team, the Top Laner is the champion assigned to the top lane. A Top Laner needs to have high survability, high damage or engages. Top laners are champions (or the players of those champions) that tend to spend the lane phase farming in the Top Lane, though sometimes teams will swap their lanes, so the top laner will be in the Bottom Lane. Top laners tend to be self-sufficient champions during the lane phase, not needing significant help from another champion to stay alive. There are two main styles of top lane champions: tanks and carries. Tank top lane champions generally try to soak damage from the enemy backline while their own backline kills the enemy frontline. Carry top lane champions generally try either to splitpush or to carry fights for their team as if they were a mid lane mage.
Jungler - Within a drafted team, the Jungler is the champion assigned to the jungle. A Jungler needs to be able to clear jungle camps without too much difficulty and ambush other champions in lane.
Mid Laner - Within a drafted team, the Mid Laner is the champion assigned to the mid lane. A Mid Laner needs to have high burst damage.
Bottom Carry - Within a drafted team, the Bottom Carry is one of the two champions assigned to the bottom lane alongside the Support. Being the most vulnerable, the Bottom Carry has to acquire as much gold as possible to purchase key items that will greatly increase their fighting potential. Within a duo lane, the optimal strategy for earning gold is to designate a single champion to farm while the other is recommended to purchase an economy item. The Bottom Carry is expected to fulfill the former designation: the position is made for champions that are highly dependant on item-based power spikes.
Support - Within a drafted team, the Support is one of the two champions assigned to the bottom lane alongside the Bottom Carry. This role's initial goal is to assist their more vulnerable team mate through the earliest stages of the game, and is a position that suits champions with either utility, disengage or high base damage. Within a duo lane, the optimal strategy for earning gold is to designate a single champion to farm while the other is recommended to purchase an economy item. The Support is expected to fulfil the latter designation, and consequently the position is not suitable for champions that are highly dependant on item-based power spikes. The Support is also expected to be the primary contributor to the team's vision.


Pooja Harsha
Hi, I am a digital arts student at ITU.
My life motto: Keep smiling!
--- --- O O l ______ \____/
I have listed my favourite hobbies below:
My most favorite hobby is photography. I like to click photos when I go on trips or hiking. I recently got a new camera
and would like to explore it's options and take beautiful pictures hence creating beautiful memories!
My second most favorite hobby is swimming. I like to swim at least once a week as it serves two purposes:Exercise for body
Gives me relaxed feeling after doing it.
Thanks for visiting!


public class ConnectionPool extends org.apache.commons.pool.impl.GenericKeyedObjectPool<Authority,PoolableConnection>
Authority
.
When the pool associated with a given authority is empty,
an new connection is created and returned.
Connections are tested to be functional before they are returned
in borrowObject(Authority)
.
GenericKeyedObjectPool
ensures that the pools for individual
authorities are destroyed when there are no more active or idle objects
for a given key.| Modifier and Type | Field and Description |
|---|---|
static long |
CLEANUP_INTERVAL
How often is the cleanup performed.
|
static long |
MAX_IDLE_TIME
When a connection is idle for more than
MAX_IDLE_TIME ,
it will be destroyed upon next eviction run. |
DEFAULT_LIFO, DEFAULT_MAX_ACTIVE, DEFAULT_MAX_IDLE, DEFAULT_MAX_TOTAL, DEFAULT_MAX_WAIT, DEFAULT_MIN_EVICTABLE_IDLE_TIME_MILLIS, DEFAULT_MIN_IDLE, DEFAULT_NUM_TESTS_PER_EVICTION_RUN, DEFAULT_TEST_ON_BORROW, DEFAULT_TEST_ON_RETURN, DEFAULT_TEST_WHILE_IDLE, DEFAULT_TIME_BETWEEN_EVICTION_RUNS_MILLIS, DEFAULT_WHEN_EXHAUSTED_ACTION, WHEN_EXHAUSTED_BLOCK, WHEN_EXHAUSTED_FAIL, WHEN_EXHAUSTED_GROW
| Modifier and Type | Method and Description |
|---|---|
PoolableConnection |
borrowObject(Authority authority) |
static ConnectionPool |
getInstance() |
void |
returnObject(Authority authority,
PoolableConnection connection) |
addObject, clear, clear, clearOldest, close, evict, getLifo, getMaxActive, getMaxIdle, getMaxTotal, getMaxWait, getMinEvictableIdleTimeMillis, getMinIdle, getNumActive, getNumActive, getNumIdle, getNumIdle, getNumTestsPerEvictionRun, getTestOnBorrow, getTestOnReturn, getTestWhileIdle, getTimeBetweenEvictionRunsMillis, getWhenExhaustedAction, invalidateObject, preparePool, setConfig, setFactory, setLifo, setMaxActive, setMaxIdle, setMaxTotal, setMaxWait, setMinEvictableIdleTimeMillis, setMinIdle, setNumTestsPerEvictionRun, setTestOnBorrow, setTestOnReturn, setTestWhileIdle, setTimeBetweenEvictionRunsMillis, setWhenExhaustedAction, startEvictor
public static final long CLEANUP_INTERVAL
GenericKeyedObjectPool.evict()
public static final long MAX_IDLE_TIME
MAX_IDLE_TIME
,
it will be destroyed upon next eviction run.GenericKeyedObjectPool.evict()
public static ConnectionPool getInstance()
public PoolableConnection borrowObject(Authority authority) throws java.lang.Exception
borrowObject
in interface org.apache.commons.pool.KeyedObjectPool<Authority,PoolableConnection>
borrowObject
in class org.apache.commons.pool.impl.GenericKeyedObjectPool<Authority,PoolableConnection>
java.lang.Exception
public void returnObject(Authority authority, PoolableConnection connection) throws java.lang.Exception
returnObject
in interface org.apache.commons.pool.KeyedObjectPool<Authority,PoolableConnection>
returnObject
in class org.apache.commons.pool.impl.GenericKeyedObjectPool<Authority,PoolableConnection>
java.lang.Exception
Copyright © 2002-2015 Javlin a.s.


CS 1331 Office Hours
Add yourself to the queue using the form. Keep this page open for updates.
There are currently 0 TAs on duty.
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Professor:
Chris Simpkins
John Stasko
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Simpkins TA Hours
Stasko TA Hours


Before Change
wing_lifts = Data()
wing_induced_drag = Data()
for wing in geometry.wings.values():
[wing_lift_coeff,wing_drag_coeff] = weissinger_VLM(conditions,settings,wing)
wing_lifts[wing.tag] = wing_lift_coeff
wing_induced_drag[wing.tag] = wing_drag_coeff
total_lift_coeff += wing_lift_coeff * wing.areas.reference / vehicle_reference_area
totat_induced_drag_coeff += wing_drag_coeff * wing.areas.reference / vehicle_reference_area
return total_lift_coeff,totat_induced_drag_coeff, wing_lifts , wing_induced_drag
After Change
//total_lift_coeff += wing_lift_coeff * wing.areas.reference / vehicle_reference_area
//total_induced_drag_coeff += wing_drag_coeff * wing.areas.reference / vehicle_reference_area
total_lift_coeff,total_induced_drag_coeff,_,_,_ = VLM(conditions,settings,geometry)
return total_lift_coeff,total_induced_drag_coeff//, wing_lifts , wing_induced_drag


The World Wide Web
The web is a collection of HTML (HyperText Markup Language) documents, and currently contains over 30bn pages. Pages are navigated using hyperlinks.
Major web elements
Ther are four major elements:
1 - web-user - you!
2 - a computer with web-browser e.g. Chrome, Firefox
3 - the internet
4 - servers
When a user accesses the web using their pc and browser, they are sending a request via the web to access a webpage stored on a server. HTTP is used to access the webpage that is stored on the server.
HTML
HTML consists of:
text content - what you see
markup - what the html looks like
references to other html documents - such as videos and images
links to other pages - hyperlinks
HTML markup
HTML markup is the syntax used to structure content in a HTML document. It consists of elements, in which the content is prefixed by opening tags and suffixed by closing tags - together these tags determine how your content is presented. Tags can be nested to apply multiple factors.
Common tags allow you to apply bold or italic formatting to your content, add line breaks or structure your content in paragraphs.
Tags also allow you to include images, links to other websites or videos in your content
Most tags require an opening and closing tag - however some tags are void tags, and require no closing tag as they are self enclosed e.g. the image tag that brings an image into your html, inserting a line break.
HTML defaults to inline presentation i.e. a continuous stream of content. Certain tags create blocks within your content, allowing them to be presented better and adjusted discretely by CSS or JS.
Span and div elements define blocks of content in either inline (span) or block (div) states.
HTML documents
HTML markup is structured into HTML documents that allow web browsers to interpret and present content correctly. HTML documents are structured into head and body sections. Head sections contain metedata e.g. CSS and JS links, webpage title, whilst the body section contains the webpage content.


Angularplate is an AngularJS project using best-practices, which also makes use of modern, cutting edge technologies.
The goal of this project is to provide people either interested in getting into AngularJS or those using AngularJS to have a point of reference that they can use when working on their own projects.
The idea is to provide the AngularJS community with more information and transparency as to what other developers in the community are using on their projects and to potentially give advice or information to those unsure of the best/potential solution(s) to the problems they may face during development.
To put it simply. I wanted to.
I had looked at other AngularJS guidelines and projects and felt that something had been missed/overlooked in regard to methodology, structure, technologies used etc. within each of them.
As such I felt that with help from the other great projects, guides and resources available for AngularJS, that I'd be able to attempt my own best practice project, that both I and others would be able to make use of.
Hey, Matt here (Matthew if you prefer) and I'm currently the main contributor and the author of the Angularplate project.
Angularplate is intended to be a foundation from which people can create their own projects and in-turn contribute back to Angularplate itself by finding best-practice solutions to problems and to find technologies/methodologies that could be employed within both the AngularJS and general web communities.
I hope for this project to catch the interest of like-minded developers that can contribute great ideas and/or resources to the project and help both the AngularJS and web communities in doing so.
In short, the best methodologies, practices and most appropriate technologies.
Angularplate takes best practice methodologies from various sources (structure, JavaScript syntax/usage, HTML syntax/usage, etc.) and bundles it with some of the latest technologies used today such as
All the technologies used here have a great deal to offer to the project and weren't just included on a whim or them being popular at the time of creation.
Please feel free to put forward or offer any additional technologies that you use or feel would be useful for use within this project and specify why (for bonus points and clarity).


This page gives an overview of all public pandas objects, functions and methods. All classes and functions exposed in pandas.* namespace are public.
pandas.*
Some subpackages are public which include pandas.errors, pandas.plotting, and pandas.testing. Public functions in pandas.io and pandas.tseries submodules are mentioned in the documentation. pandas.api.types subpackage holds some public functions related to data types in pandas.
pandas.errors
pandas.plotting
pandas.testing
pandas.io
pandas.tseries
pandas.api.types
Warning
The pandas.core, pandas.compat, and pandas.util top-level modules are PRIVATE. Stable functionality in such modules is not guaranteed.
pandas.core
pandas.compat
pandas.util


Now that you have configured a clustered cache through NCache Manager and have edited web.config to add NCache Session Store Provider, you're ready to start or restart your ASP.NET application. To restart your ASP.NET application, unload App domain first. This can be done by saving web.config.
Configure the Cache | Edit Web.Config or Machine.Config


{% block content %}
{% endblock content %}
Copyright © {% now 'Y' %} Inine · All rights reserved. Powered by Ibraci Links.
{% load staticfiles %}
Copyright © {% now 'Y' %} Inine · All rights reserved. Powered by Ibraci Links.


Lenovo Z6 Pro 5G About to Debut, Here's the First Promotional Video - Gizchina.com
by PierreRate this post
Chinese phone maker Lenovo gave us an official “first look” at the upcoming Lenovo Z6 Pro 5G. This comes in the form of a very unconventional unboxing video. Why unconventional? Well, the brand decided to completely blur out the device, which makes us wonder what’s the point of the entire video.
In addition to that, the highly-skilled Lenovo video editing team managed to hide every possible interesting spec with the squeak of a duck. If you’re still willing to watch the video you can check it out at this link.
Lenovo Z6 Pro 5G about to debut, here’s the first promotional video
The only real detail we learn from the video is that the smartphone will be really affordable. The Lenovo Z6 Pro 5G is thus going to be the cheapest 5G phone on the planet. In their words “It’ll break the industry with its ultra-low price”.
Currently, the cheapest 5G-capable smartphone on the market is the Xiaomi Mi 9 Pro 5G. The device had a launch price of 3699 Yuan (around $530), so we expect the Lenovo Z6 Pro 5G to cost less than that.
Either way, from previous leaked rumors and some official data we have a somewhat clear idea of the hardware we’ll find on the device. Starting from the 6.39-inch display with a resolution of 2340 × 1080 and a notch: We’ll then find a Qualcomm Snapdragon 855 CPU and four rear cameras. These will include a main 48MP camera, a 16MP ultra wide lens, an 8MP telephoto lens and a 2MP depth sensor. On the front we’ll instead have a 32MP selfie snapper.
Connectivity wise, Lenovo’s flagship will support 5G with its integrated Qualcomm Snapdragon X50 5G modem. We’ll also have a 4×4 MIMO antenna and 256-QAM high-order modulation technology. The device will support 5G NR / LTE / WCDMA / GSM / CDMA networks.


Account Setup
Dietary Preferences
Personal Details
Create Your Account
Fill in your credentials.
Dietary Preferences
Tell us what you like
Dietary Restrictions
(Check all that apply):
Vegetarian
Vegan
Gluten Free
Pescetarian
Calories per Meal:
300-400 calories
400-500 calories
500-600 calories
600 + calories
Ideal time spent cooking a meal:
10-20 minutes
20-30 minutes
30-40 minutes
40 + minutes
Personal Details
Tell us more about you
Which option best describes your current status?
Select an option
Student
Recent Grad
Young Adult
Prefer not to say
Other
How many people do you usually cook for?
Select an option
1
2
3
4
5 or more
What is your meal budget?
$10-$20
$20-$30
$30-$40
$40+
What appliances do you have?
(Check all that apply):
Microwave
Stove
Oven
Blender
Mixer
Grill
Toaster
Food Processer
Slow Cooker
What cookware do you have?
(Check all that apply):
Skillet
Pot
Whisk
Muffin Tin
Tin Foil
Plastic Wrap
Parchment Paper
Cake Pan
Masher
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1 write to ContinueLabel
System.Management.Automation (1)
engine\parser\Compiler.cs (1)
2209
this.
ContinueLabel
= continueLabel;


Bienvenido a la documentación de Rindus task¶
Task requirements¶
- Please implement a small Django application to manage (CRUD) users and their bank account data (IBAN).
Required fields are first name, last name and IBAN. Data should be validated.
- All fields are integrated and validated.
Administrators of the app should authenticate using a Google account.
- Administrators create by superuser can authenticate on regular login. - Loging as Admin Button will authenticate or create Admin users.
Administrators should be able to create, read, update and delete users
- Admisitrators are able to do a CRUD.
Restrict manipulation operations on an user to the administrator who created them
- Admisitrators are able to do a CRUD on the users that they created only
Use PostgreSQL as the database backend
Use Postgres 11
Use Python 3.x
python:3.7
Voluntary to get more points for the task:
Write documentation on how to setup, run and use your implementation.
Documentation created.
Test environment
Set up a virtual machine environment using vagrant (provisioned by Puppet/Salt/Ansible/Bash - whatever suits you best) or docker-compose to run the test task including some short documentation
- Docker-compose to create a container for django and Postgres. The container will run: - python manage.py makemigrations - python manage.py migrate - python manage.py test - python manage.py runserver
Extra tasks:
- Admisitrators can see the others administrators users. - Superuser can create administrators, and do a CRUD to clients. - Users can change their password. - Autodoc library to auto generate project documentation as an html rindus-task/docs/build/html/index.html (open in browser). - Helper Logger to log the app. - Cerberus library to validate an normalize data structures.
Documentation¶
The project documentation is an html to access click on this link: Project documentation
Prerequirements¶
You need to install docker, you can download windows docker here: https://download.docker.com/win/stable/Docker%20for%20Windows%20Installer.exe
When docker is installed, you need to reboot your computer. To check if docker is installed, type this on your cmd:
docker --version
Creating Django superadmin¶
To create a superuser open a terminal, while project is running and in the project folder “src” exec the next command:
docker exec -ti rindus-task_app_1 python manage.py createsuperuser
Then follow the instructions:
username
admin email
password
Service¶
SERVICE |
ENDPOINT |
USER |
PASSWORD |
|---|---|---|---|
postgres-11 |
root |
root |
|
app |
no |
no |
Urls¶
APLICACION |
ENDPOINT |
DESCRIPCION |
AUTHENTICATION |
|---|---|---|---|
Access |
/manager/signup/ |
Admin singup |
YES |
Access |
/signup/ |
Client singup |
NO |
Access |
/user/signup/ |
Admin singup |
YES |
Access |
/accounts/ |
login and log out |
YES |
Clients |
/clients |
Clients list |
YES |
Clients |
/client/int:pk |
Client detail |
YES |
Clients |
/create |
Create client |
YES |
Clients |
/delete/int:pk |
Delete client |
YES |
Clients |
/update/int:pk |
Update client |
YES |


P.E.I. woman sentenced to six years in prison for three infanticides
CHARLOTTETOWN - A Prince Edward Island woman who admitted to causing the deaths of three of her newborn babies has been sentenced to six years in prison.
Shannon Dawn Rayner of Charlottetown pleaded guilty to three counts of infanticide related to incidents in 2014, 2015 and 2016, as well as a charge of concealing a dead body.
In May, the Charlottetown Police Service confirmed the discovery of an infant's skeletal remains in a shed near a home in the city's Sherwood subdivision.
Court documents say the other two babies both died "a short time" after they were born, and their bodies were dumped in a garbage bin.
Crown Attorney John Diamond says Rayner was sentenced to two years on each infanticide charge, to be served consecutively, and one year on concealing the dead body, to be served concurrently.
Diamond says Rayner will get 13 months credit for time she has already spent in custody.
A psychiatric assessment determined the 40-year-old woman was fit to stand trial and did not suffer from a mental disorder that could have caused her to be found not criminally responsible for the crimes.
This report by The Canadian Press was first published Nov. 25, 2019.


Copyright © 2014 W3C® (MIT, ERCIM, Keio, Beihang), All Rights Reserved. W3C liability, trademark and document use rules apply.
Non-element Selectors extends [SELECTORS4] and allow selecting other kinds of document nodes than elements. This is useful when selectors are used as a general document query language.
Non-element Selectors are not intended to be used in CSS, but only as a separate query language in other host environments. CSS is a language for describing the rendering of structured documents (such as HTML and XML) on screen, on paper, in speech, etc.
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.
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.
The (archived) public mailing list<EMAIL_ADDRESS>(see instructions) is preferred for discussion of this specification. When sending e-mail, please put the text “selectors-nonelement” in the subject, preferably like this: “[selectors-nonelement] …summary of comment…”
This document was produced by the CSS Working Group (part of the Style Activity).
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.
Selectors are a very popular mechanism for selecting things in HTML and XML content. They are not used only in CSS [CSS3SYN] but also as a standalone query language in libraries like jQuery, in newer standardized browser APIs like [SELECTORS-API] and in other Web standards like ITS 2.0.
The [SELECTORS4] specification only defines selectors for selecting element nodes from the document, but some uses of Selectors would like to select other types of nodes as well. This specification extends [SELECTORS4] with additional selectors that can be used for selecting non-element nodes in a document tree.
Note: Currently the draft only defines means for selecting and matching attribute nodes, but other kinds of nodes, such as comments or processing instructions, might be supported in the future.
An attribute node selector represents an attribute node in a document tree. Its syntax is:
::attr() = ::attr( <namespace-attr>? ) <namespace-attr> = [ <na-prefix>? '|' ]? <na-name> <na-prefix> = <ident> | '*' <na-name> = <ident> | '*'
No whitespace is allowed between the tokens of <namespace-attr>.
<namespace-attr> is divided into two halves: an optional prefix preceding a '|' character, and an attribute name following it.
If the <na-prefix> is provided as an <ident>, it must match a declared namespace prefix, in which case the selector only matches attributes in that namespace; if it doesn’t match a declared namespace prefix, the selector matches nothing. If the <na-prefix> is provided as a * character, the selector matches attributes in any namespace. If the <na-prefix> is omitted, the selector only matches attributes in no namespace.
If the <na-name> is an <ident>, the selector matches attributes with that name. If the <na-name> is a * character, the selector matches attributes with any name.
If the <namespace-attr> is omitted entirely, the selector matches any attribute in any namespace.
The selector matches an attribute node with the given namespace and name on the originating element, if such an attribute exists.
The selector uses pseudo-element syntax.
title
attribute on abbr
elements.
<rules xmlns="http://www.w3.org/2005/11/its" version="2.0" queryLanguage="css"> <translateRule selector="abbr::attr(title)" translate="no"/> </rules>
Although entirely valid in Selectors used in the scope of CSS, attribute node selectors never generate boxes.
Conformance requirements are expressed with a combination of descriptive assertions and RFC 2119 terminology. The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in the normative parts of this document are to be interpreted as described in RFC 2119. However, for readability, these words do not appear in all uppercase letters in this specification.
All of the text of this specification is normative except sections explicitly marked as non-normative, examples, and notes. [RFC2119]
Examples in this specification are introduced with the words "for example"
or are set apart from the normative text with class="example"
,
like this:
This is an example of an informative example.
Informative notes begin with the word "Note" and are set apart from the
normative text with class="note"
, like this:
Note, this is an informative note.
Conformance to this specification is defined for three conformance classes:
A style sheet is conformant to this specification if all of its statements that use syntax defined in this module are valid according to the generic CSS grammar and the individual grammars of each feature defined in this module.
A renderer is conformant to this specification if, in addition to interpreting the style sheet as defined by the appropriate specifications, it supports all the features defined by this specification by parsing them correctly and rendering the document accordingly. However, the inability of a UA to correctly render a document due to limitations of the device does not make the UA non-conformant. (For example, a UA is not required to render color on a monochrome monitor.)
An authoring tool is conformant to this specification if it writes style sheets that are syntactically correct according to the generic CSS grammar and the individual grammars of each feature in this module, and meet all other conformance requirements of style sheets as described in this module.
So that authors can exploit the forward-compatible parsing rules to assign fallback values, CSS renderers must treat as invalid (and ignore as appropriate) any at-rules, properties, property values, keywords, and other syntactic constructs for which they have no usable level of support. In particular, user agents must not selectively ignore unsupported component values and honor supported values in a single multi-value property declaration: if any value is considered invalid (as unsupported values must be), CSS requires that the entire declaration be ignored.
To avoid clashes with future CSS features, the CSS2.1 specification reserves a prefixed syntax for proprietary and experimental extensions to CSS.
Prior to a specification reaching the Candidate Recommendation stage in the W3C process, all implementations of a CSS feature are considered experimental. The CSS Working Group recommends that implementations use a vendor-prefixed syntax for such features, including those in W3C Working Drafts. This avoids incompatibilities with future changes in the draft.
Once a specification reaches the Candidate Recommendation stage, non-experimental implementations are possible, and implementors should release an unprefixed implementation of any CR-level feature they can demonstrate to be correctly implemented according to spec.
To establish and maintain the interoperability of CSS across implementations, the CSS Working Group requests that non-experimental CSS renderers submit an implementation report (and, if necessary, the testcases used for that implementation report) to the W3C before releasing an unprefixed implementation of any CSS features. Testcases submitted to W3C are subject to review and correction by the CSS Working Group.
Further information on submitting testcases and implementation reports can be found from on the CSS Working Group’s website at http://www.w3.org/Style/CSS/Test/. Questions should be directed to the<EMAIL_ADDRESS>mailing list.
No properties defined.


© 2014- Maitray Suthar, All rights reserved.
Let's get in touch, share your thoughts/ideas with me and I try to make something workable.
Send me an email on<EMAIL_ADDRESS>and let start work together!!
For more details:
Connect with me on Social:


---
layout: post
title: Dean Martin & Nancy Sinatra - Things
date: '2010-01-27T17:24:00.004+02:00'
author: Vlad Dumitru
tags:
- Vlad Dumitru
- pop
modified_time: '2010-05-06T03:11:31.497+03:00'
blogger_id: tag:blogger.com,1999:blog-551549162106413340.post-4476150776991041630
blogger_orig_url: http://pentrumuzica.blogspot.com/2010/01/dean-martin-nancy-sinatra-things.html
---
O melodie mai veche...


Diagonal Thumbnails Slideshow
Previous demo
Article
GitHub
01
02
03
04
CL
Menu
Effect based on Anton Tkachev's
shot
@codrops
Sponsored by
Divi
Hopes
of
Her
What
is
Life
Thine
own
Echo
Rulers
who
Dare
We
are
Many


materia.tasks module¶
-
class
ExternalTask
(engine, io, name=None)¶ Bases:
materia.tasks.Task
Task which runs external code.
-
engine
¶ Engine to run external code.
- Type
materia.Engine
-
io
¶ Manager for external code input and output files.
- Type
materia.IO
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
-
class
FunctionTask
(f, name=None)¶ Bases:
materia.tasks.Task
Task which runs a Python function.
-
f
¶ Function to be run by compute.
- Type
callable
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
compute
(**kwargs)¶ Execute Task using requirements as inputs.
- Returns
[description]
- Return type
Any
- Raises
NotImplementedError – [description]
-
-
class
InputTask
(value, name=None)¶ Bases:
materia.tasks.Task
Task which returns a fixed value.
-
value
¶ Fixed value returned by compute.
- Type
Any
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
compute
(*args, **kwargs)¶ Execute Task using requirements as inputs.
- Returns
[description]
- Return type
Any
- Raises
NotImplementedError – [description]
-
-
class
MaxLIPOTR
(objective_function, name=None)¶ Bases:
materia.tasks.Task
Minimize objective function using MaxLIPOTR algorithm.
-
objective_function
¶ Objective function to be minimized.
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
compute
(x_min, x_max, num_evals, epsilon=0)¶ Execute Task using requirements as inputs.
- Returns
[description]
- Return type
Any
- Raises
NotImplementedError – [description]
-
-
class
ShellCommand
(command, name=None)¶ Bases:
materia.tasks.Task
Run shell command.
-
command
¶ Shell command
- Type
str
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
compute
()¶ Execute Task using requirements as inputs.
- Returns
[description]
- Return type
Any
- Raises
NotImplementedError – [description]
-
-
class
Task
(name=None)¶ Bases:
object
Function with dependencies.
-
name
¶ Name for use in Workflows.
- Type
str
-
requirements
¶ List of Tasks required as args in compute.
- Type
list
-
named_requirements
¶ Dicionary of Tasks required as kwargs in compute.
- Type
dict
Initialize Task.
- Parameters
name (Optional[str], optional) – Name for use in Workflows, by default None
-
compute
(**kwargs)¶ Execute Task using requirements as inputs.
- Returns
[description]
- Return type
Any
- Raises
NotImplementedError – [description]
-
requires
(*args, **kwargs)¶ Register Task dependencies.
- Return type
None
-
-
task
(f=None, name=None)¶ - Return type


---
layout: page
tags: [Jekyll, HADDOCK, Bonvin, Docking, Simulation, Molecular Dynamics, Structural Biology, Computational Biology, Modelling, Protein Structure]
modified: 2014-08-08T20:53:07.573882-04:00
comments: false
image:
feature: pages/banner_software.jpg
---
HADDOCK2.2 manual
Using
Pseudo
Contact
Shifts
Pseudo contact shifts (PCS) can provide useful information on both the distances and the orientation of the
molecules to be docked. They can be used directly as restraints in HADDOCK using the XPCS energy term in CNS.
Note that for this the standard CNS version needs to be recompiled with the files provided in the cns1.3 directory in the HADDOCK distribution.
For each set of PCS restraints used, a tensor must be defined. Its axial (D) and rhombic (R) components must be defined.
Note that the proper units for use in HADDOCK should be: 10**(-28) / (12*pi) m**3 (which gives a scaling factor of 265.26 compared to values expressed in 10**(-32) m**3)
For pseudo contact shifts, R and D this can be obtained using for example the Numbat software (Schmitz C, Stanton-Cook MJ, Su XC, Otting G, Huber T (2008) Numbat: an interactive software tool for fitting delta chi-tensors to molecular coordinates using pseudocontact shifts. J Biomol NMR 41:179-189).
The position of the tensor also needs to be defined by specifying distance restraints with respect to the protein to which it is attached. These restraints are defined in the TENSOR_FILE when performing a docking run setup using the html inteface. In the generated new.html file the entry looks like:
TENSOR_FILE=tensor_basic.tbl
and this tensor restraint file contains distance restraints. For example, if the tensor is attached to a metal ion in the case of a metallo-protein (as in the protein-protein-pcs example in HADDOCK2.2) it looks like:
assi (resid 999 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 998 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 997 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 996 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 995 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 994 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 993 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 992 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 991 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
assi (resid 990 and resn XAN and name OO ) (resid 190 and segid A ) 0.0 0.0 0.0
The distances are thus all set to 0 to keep the tensor on top of the metal ion. 10 such distances are defined, one for each PCS set and its associated tensor (numbered from 990 to 999).
The proper format for PCS restraints is the following:
assign ( resid 999 and name OO )
( resid 999 and name Z )
( resid 999 and name X )
( resid 999 and name Y )
( resid 7 and name N and segid A ) -0.119906 0.15
where the last two numbers are the PCS value and its associated error.
The 2.2 version of HADDOCK supports up to 10 differentPCS restraints sets. Each can have a separate tensor.
The tensor residue number should be in the range 999-990. For each class you can specify the first and last stage at which the various RDCs will be used:
- 0: rigid body EM (it0)
- 1: semi-flexible simulated annealing (SA) (it1)
- 2: explicit solvent refinement (water)


THE RAINMAKER A film review by Andrew Hicks Copyright 1997 by Andrew Hicks
(1997) **1/2 (out of four)
THE RAINMAKER carries on the tradition of transforming John Grisham novels into big screen blockbusters. This one, though, leans less toward the early Grisham action thrillers like THE FIRM and THE PELICAN BRIEF and more toward the courtroom drama of A TIME TO KILL and THE CHAMBER. It's about a young, white- bread lawyer who overcomes the odds and scores a victory for the less fortunate, and it's preachy as hell. However, with director Francis Ford Coppola at the helm of a large, likeable cast, THE RAINMAKER refuses to sink under the weight and predictability of the storyline.
Matt Damon is the hero this time around, just out of law school and cramming for the bar exam. He takes a job with a shyster (Mickey Rourke) who sets his lawyers up on a commission basis and sends them out to chase ambulances. Damon learns the ropes from an older, wiser, unlicensed associate (Danny DeVito) and gets his first clients, an old lady changing her will (Teresa Wright) and a not-as-old lady (Mary Kay Place) whose son is dying of leukemia.
Just as Rourke gets nailed by the FBI and Damon passes the bar, he and DeVito partner up to form their own unholy alliance. Claire Danes comes along at about the same time, as a young woman whose husband put her in the hospital. Hers is the predictable subplot that will haunt the movie until the end, as Damon falls in love with her, she leaves him and they decide to go back and get her stuff. I assume this sidebar was trimmed greatly from the novel, but in the Cliffs Notes version THE RAINMAKER movie affords us, we see enough to know this is the same old Wife- Beater Gets His plotline with no new twists.
It's the Corporate America Gets Theirs plotline that most of THE RAINMAKER is concerned with. The leukemia kid bites the dust and the family sues the insurance company for wrongful death. The company denied their claim eight times, so he missed his treatment. There are plenty of courtroom scenes, much less sophisticated than we're used to, where young Damon has to orient himself to court procedures and fight off the high-paid insurance company attorney team (led by a sneering Jon Voight). It's never in doubt what the eventual outcome will be and which surprise witness will bring it.
As I've maintained these last four paragraphs, the plot is weak, and the constant sermonizing against both the legal profession and the e-e-e-evil insurance companies only makes the movie less appealing, but thankfully, the actors trapped in this story bring their own charm. There's a lot more humor than you might expect, particularly from DeVito and the two judges in the case (Dean Stockwell and Danny Glover), so the movie is worth watching, but on the whole, it's a low-rent A TIME TO KILL.
--
Visit the Movie Critic at LARGE website at http://www.missouri.edu/~c667778/movies.html
Serving America for more than 1/25th of a century!
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.
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Related links: index of all rec.arts.movies.reviews reviews


CSV Files
Spark SQL provides spark.read().csv("file_name")
to read a file or directory of files in CSV format into Spark DataFrame, and dataframe.write().csv("path")
to write to a CSV file. Function option()
can be used to customize the behavior of reading or writing, such as controlling behavior of the header, delimiter character, character set, and so on.
// A CSV dataset is pointed to by path.
// The path can be either a single CSV file or a directory of CSV files
val path = "examples/src/main/resources/people.csv"
val df = spark.read.csv(path)
df.show()
// +------------------+
// | _c0|
// +------------------+
// | name;age;job|
// |Jorge;30;Developer|
// | Bob;32;Developer|
// +------------------+
// Read a csv with delimiter, the default delimiter is ","
val df2 = spark.read.option("delimiter", ";").csv(path)
df2.show()
// +-----+---+---------+
// | _c0|_c1| _c2|
// +-----+---+---------+
// | name|age| job|
// |Jorge| 30|Developer|
// | Bob| 32|Developer|
// +-----+---+---------+
// Read a csv with delimiter and a header
val df3 = spark.read.option("delimiter", ";").option("header", "true").csv(path)
df3.show()
// +-----+---+---------+
// | name|age| job|
// +-----+---+---------+
// |Jorge| 30|Developer|
// | Bob| 32|Developer|
// +-----+---+---------+
// You can also use options() to use multiple options
val df4 = spark.read.options(Map("delimiter"->";", "header"->"true")).csv(path)
// "output" is a folder which contains multiple csv files and a _SUCCESS file.
df3.write.csv("output")
// Read all files in a folder, please make sure only CSV files should present in the folder.
val folderPath = "examples/src/main/resources";
val df5 = spark.read.csv(folderPath);
df5.show();
// Wrong schema because non-CSV files are read
// +-----------+
// | _c0|
// +-----------+
// |238val_238|
// | 86val_86|
// |311val_311|
// | 27val_27|
// |165val_165|
// +-----------+
Find full example code at "examples/src/main/scala/org/apache/spark/examples/sql/SQLDataSourceExample.scala" in the Spark repo.
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
// A CSV dataset is pointed to by path.
// The path can be either a single CSV file or a directory of CSV files
String path = "examples/src/main/resources/people.csv";
Dataset<Row> df = spark.read().csv(path);
df.show();
// +------------------+
// | _c0|
// +------------------+
// | name;age;job|
// |Jorge;30;Developer|
// | Bob;32;Developer|
// +------------------+
// Read a csv with delimiter, the default delimiter is ","
Dataset<Row> df2 = spark.read().option("delimiter", ";").csv(path);
df2.show();
// +-----+---+---------+
// | _c0|_c1| _c2|
// +-----+---+---------+
// | name|age| job|
// |Jorge| 30|Developer|
// | Bob| 32|Developer|
// +-----+---+---------+
// Read a csv with delimiter and a header
Dataset<Row> df3 = spark.read().option("delimiter", ";").option("header", "true").csv(path);
df3.show();
// +-----+---+---------+
// | name|age| job|
// +-----+---+---------+
// |Jorge| 30|Developer|
// | Bob| 32|Developer|
// +-----+---+---------+
// You can also use options() to use multiple options
java.util.Map<String, String> optionsMap = new java.util.HashMap<String, String>();
optionsMap.put("delimiter",";");
optionsMap.put("header","true");
Dataset<Row> df4 = spark.read().options(optionsMap).csv(path);
// "output" is a folder which contains multiple csv files and a _SUCCESS file.
df3.write().csv("output");
// Read all files in a folder, please make sure only CSV files should present in the folder.
String folderPath = "examples/src/main/resources";
Dataset<Row> df5 = spark.read().csv(folderPath);
df5.show();
// Wrong schema because non-CSV files are read
// +-----------+
// | _c0|
// +-----------+
// |238val_238|
// | 86val_86|
// |311val_311|
// | 27val_27|
// |165val_165|
// +-----------+
Find full example code at "examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java" in the Spark repo.
# spark is from the previous example
sc = spark.sparkContext
# A CSV dataset is pointed to by path.
# The path can be either a single CSV file or a directory of CSV files
path = "examples/src/main/resources/people.csv"
df = spark.read.csv(path)
df.show()
# +------------------+
# | _c0|
# +------------------+
# | name;age;job|
# |Jorge;30;Developer|
# | Bob;32;Developer|
# +------------------+
# Read a csv with delimiter, the default delimiter is ","
df2 = spark.read.option(delimiter=';').csv(path)
df2.show()
# +-----+---+---------+
# | _c0|_c1| _c2|
# +-----+---+---------+
# | name|age| job|
# |Jorge| 30|Developer|
# | Bob| 32|Developer|
# +-----+---+---------+
# Read a csv with delimiter and a header
df3 = spark.read.option("delimiter", ";").option("header", True).csv(path)
df3.show()
# +-----+---+---------+
# | name|age| job|
# +-----+---+---------+
# |Jorge| 30|Developer|
# | Bob| 32|Developer|
# +-----+---+---------+
# You can also use options() to use multiple options
df4 = spark.read.options(delimiter=";", header=True).csv(path)
# "output" is a folder which contains multiple csv files and a _SUCCESS file.
df3.write.csv("output")
# Read all files in a folder, please make sure only CSV files should present in the folder.
folderPath = "examples/src/main/resources"
df5 = spark.read.csv(folderPath)
df5.show()
# Wrong schema because non-CSV files are read
# +-----------+
# | _c0|
# +-----------+
# |238val_238|
# | 86val_86|
# |311val_311|
# | 27val_27|
# |165val_165|
# +-----------+
Find full example code at "examples/src/main/python/sql/datasource.py" in the Spark repo.
Data Source Option
Data source options of CSV can be set via:
- the
.option
/.options
methods ofDataFrameReader
DataFrameWriter
DataStreamReader
DataStreamWriter
- the built-in functions below
from_csv
to_csv
schema_of_csv
OPTIONS
clause at CREATE TABLE USING DATA_SOURCE
| Property Name | Default | Meaning | Scope |
|---|---|---|---|
sep |
, | Sets a separator for each field and value. This separator can be one or more characters. | read/write |
encoding |
UTF-8 | For reading, decodes the CSV files by the given encoding type. For writing, specifies encoding (charset) of saved CSV files | read/write |
quote |
" | Sets a single character used for escaping quoted values where the separator can be part of the value. For reading, if you would like to turn off quotations, you need to set not null but an empty string. For writing, if an empty string is set, it uses u0000 (null character). |
read/write |
quoteAll |
false | A flag indicating whether all values should always be enclosed in quotes. Default is to only escape values containing a quote character. | write |
escape |
\ | Sets a single character used for escaping quotes inside an already quoted value. | read/write |
escapeQuotes |
true | A flag indicating whether values containing quotes should always be enclosed in quotes. Default is to escape all values containing a quote character. | write |
comment |
Sets a single character used for skipping lines beginning with this character. By default, it is disabled. | read | |
header |
false | For reading, uses the first line as names of columns. For writing, writes the names of columns as the first line. Note that if the given path is a RDD of Strings, this header option will remove all lines same with the header if exists. | read/write |
inferSchema |
false | Infers the input schema automatically from data. It requires one extra pass over the data. | read |
enforceSchema |
true | If it is set to true , the specified or inferred schema will be forcibly applied to datasource files, and headers in CSV files will be ignored. If the option is set to false , the schema will be validated against all headers in CSV files in the case when the header option is set to true . Field names in the schema and column names in CSV headers are checked by their positions taking into account spark.sql.caseSensitive . Though the default value is true, it is recommended to disable the enforceSchema option to avoid incorrect results. |
read |
ignoreLeadingWhiteSpace |
false (for reading), true (for writing) |
A flag indicating whether or not leading whitespaces from values being read/written should be skipped. | read/write |
ignoreTrailingWhiteSpace |
false (for reading), true (for writing) |
A flag indicating whether or not trailing whitespaces from values being read/written should be skipped. | read/write |
nullValue |
Sets the string representation of a null value. Since 2.0.1, this nullValue param applies to all supported types including the string type. |
read/write | |
nanValue |
NaN | Sets the string representation of a non-number value. | read |
positiveInf |
Inf | Sets the string representation of a positive infinity value. | read |
negativeInf |
-Inf | Sets the string representation of a negative infinity value. | read |
dateFormat |
yyyy-MM-dd | Sets the string that indicates a date format. Custom date formats follow the formats at Datetime Patterns. This applies to date type. | read/write |
timestampFormat |
yyyy-MM-dd'T'HH:mm:ss[.SSS][XXX] | Sets the string that indicates a timestamp format. Custom date formats follow the formats at Datetime Patterns. This applies to timestamp type. | read/write |
maxColumns |
20480 | Defines a hard limit of how many columns a record can have. | read |
maxCharsPerColumn |
-1 | Defines the maximum number of characters allowed for any given value being read. By default, it is -1 meaning unlimited length | read |
mode |
PERMISSIVE | Allows a mode for dealing with corrupt records during parsing. It supports the following case-insensitive modes. Note that Spark tries to parse only required columns in CSV under column pruning. Therefore, corrupt records can be different based on required set of fields. This behavior can be controlled by spark.sql.csv.parser.columnPruning.enabled (enabled by default).
|
read |
columnNameOfCorruptRecord |
(value of spark.sql.columnNameOfCorruptRecord configuration) |
Allows renaming the new field having malformed string created by PERMISSIVE mode. This overrides spark.sql.columnNameOfCorruptRecord . |
read |
multiLine |
false | Parse one record, which may span multiple lines, per file. | read |
charToEscapeQuoteEscaping |
escape or \0 |
Sets a single character used for escaping the escape for the quote character. The default value is escape character when escape and quote characters are different, \0 otherwise. |
read/write |
samplingRatio |
1.0 | Defines fraction of rows used for schema inferring. | read |
emptyValue |
(for reading), "" (for writing) |
Sets the string representation of an empty value. | read/write |
locale |
en-US | Sets a locale as language tag in IETF BCP 47 format. For instance, this is used while parsing dates and timestamps. | read |
lineSep |
\r , \r\n and \n (for reading), \n (for writing) |
Defines the line separator that should be used for parsing/writing. Maximum length is 1 character. | read/write |
unescapedQuoteHandling |
STOP_AT_DELIMITER | Defines how the CsvParser will handle values with unescaped quotes.
|
read |
compression |
(none) | Compression codec to use when saving to file. This can be one of the known case-insensitive shorten names (none , bzip2 , gzip , lz4 , snappy and deflate ). |
write |
Other generic options can be found in Generic File Source Options.


amazon-chime-sdk
/
com.amazonaws.services.chime.sdk.meetings.audiovideo
/
TranscriptItemType
/
Pronunciation
Pronunciation
Pronunciation


| Up | TOC | Index | |||||
| << 8 API Reference | < 9.34 Version 2.2 Beta Linux October 22, 1999 | Up: 9 Release Notes | 9.36 Version 2.2 Pre Alpha #4 Linux July 15, 1999 > | 10 Index >> |
9.35 Version 2.2 Alpha Linux August 24, 1999
Many of these features and bug fixes will also be made available in Version 2.2 for WIN32 + DOS32.
- The documentation has been brought up-to-date to include Linux-specific information for library routines and Euphoria in general.
- There is now a Complete Edition for Linux, including binding and shrouding. See register\register.doc.
- There is now text mode mouse support using get_mouse(). You must have GPM server running. It works in a text console or an xterm window.
- Linux: define_c_var(name) will return the address of a global C variable in a shared library.
- It was confirmed that you can call Euphoria routines from Linux C routines using exactly the same mechanism as in WIN32 Euphoria. See euphoria/demo/linux.
- An example of creating your own shared library routines and calling them from Euphoria was added. See euphoria/demo/linux.
- All platforms: crash_file(file_name) will cause diagnostic messages to be written to file_name instead of ex.err. You can use crash_file("/dev/null") to get diagnostics on screen but not in a file.
 crash_file("") means "no diagnostics" (to screen or ex.err).
- Trace mode in xterm now detects the F1/F2 keys.
- time() now reports real "wall-clock" time, not CPU time.
- search, guru and cdguru now place their output in your $HOME directory instead of the current directory.
- #! is now restricted to just the first line of a file.
- All platforms: In ed, the Esc n, Esc d, Esc f and Esc r commands will immediately redisplay your last choice. You can press up-arrow/down-arrow to see other choices, or clear the choice. If you start typing without editing, it will clear the choice and take your new input.
- free_console() will set the terminal parameters back to normal. Normally, when running a Euphoria program the parameters are set the way that curses wants them and they are set back to normal when the program terminates. If your program needs to terminate in a strange way (other than calling abort()), free_console() should be called first.
- **bug fixed: get()
- now considers '\r' to be a whitespace character. This is important when reading DOS files.
- All platforms: bug fixed: It was not immediately issuing a type_check failure when 1 was added to an integer variable that was set to the maximum value for an integer (1.07 billion). Thanks to Jeff Fielding.
- All platforms: bug fixed: It was not always detecting an improperly-formed exponent on a floating-point number. Thanks to Lionel Wong.
- All platforms: The performance of the storage allocator has been improved in certain cases. A bug that could cause the interpreter to crash when you are almost out of memory has been fixed.


--- layout: page title: About header-img: "img/about-bg.png" ---
Ghameerah McCullers is a student and Software Engineer with a strong desire to develop her craft, hence the reason she decided to start an instructional blog. She's a great cook and enjoys photography and film. She's a graduate of Central State university, previous manager of a restaurant and self taught programmer. Hometown is Harlem but she now blooms in Atlanta. Her dream is to be a part of something impactful and be of value to humankind through technology.


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Class providing a pseudo-random number generator with an xorshift128+ or xorshift1024* generator that are both suitable for parallel applications. This is class is thread safe, and can be used in parallel without Prngs on different threads affecting each other.
If you are writing serial code, and/or do not need a parallel random number generator, you can use the overloaded functions and subroutines in m_random. See that module for more information.
Side note: The default random number generator in Matlab and Python is the Mersenne Twister algorithm. This algorithm is not great for parallel applications. It has a huge period, but you cannot easily jump the state as far as I can tell. These xorshift algorithms are fantastic, they have a high enough period for most applications, and can be easily jumped in only a few iterations.
program PrngTest use Prng_Class, only: Prng implicit none type(Prng) :: rng integer(i64) :: seed(16) integer(i32) :: i, id real(r64) :: a ! Use a constructor to initialize the Prng with a random seed ! Using display = .true. will print the randomly generated seed to the screen ! So you can reproduce any results later if you wish. rng = Prng(big = .true., display = .true.) ! Or you could have set the seed using this ! seed = [Some numbers, size 16 if big == .true., size 2 if big == .false.] ! and you can use rng = Prng(seed, .true., .true.) ! Draw from a uniform distribution call rng%rngUniform(a) ! Draw an integer between 1 and 100 inclusive call rng%rngInteger(id, 1, 100) ! Other distributions call rng%rngNormal(a) call rng%rngExponential(a, 1.d0) call rng%rngWeibull(a, 1.d0, 1.d0) stop end program
program PrngTest use omp_lib use Prng_Class, only: Prng, getRandomSeed implicit none type(Prng), allocatable :: rng(:) ! Array of Prng classes, one for each thread integer(i64) :: seed(16) ! Use xorshift1024*, so the seed is size 16 integer(i32) :: i, id integer(i32) :: nThreads, iThread real(r64) :: a ! Get a randomly generated seed call getRandomSeed(seed, .true.) ! Get the number of threads available !$omp parallel nThreads = omp_get_num_threads() !$omp end parallel ! Allocate an array of Prngs, one for each thread allocate(rng(nThreads)) ! In parallel, initialize each Prng with the same seed, and jump each prng by the thread ID it is associated with. ! This allows all Prngs to draw from the same stream, but at different points along the stream. ! This is better than giving each Prng its own randomly generated seed. !$omp parallel shared(rng, seed) private(iThread, a) iThreads = omp_get_thread_num() rng(iThread + 1) = Prng(seed, big = .true.) call rng(iThread + 1)%jump(iThread) ! Jump the current thread's Prng by its thread number. call rng(iThread + 1)%rngNormal(a) ! Draw from normal distribution on each thread !$omp end parallel stop end program
This module contains routines to generate random numbers using the xorshift128+ method by Vigna's extensions to Marsaglia, G., 2003. Xorshift RNGs. Journal of Statistical Software 8, 1 - 6.
This module is a modified version of the public domain code written by Shun Sakuraba in 2015-2016. The original code can be found here. The modified code in coretran is distributed under the coretran license, see the repository for that information.
Vigna's xorshift128+ pseudorandom generator. Sebastiano Vigna. 2014. Further scramblings of Marsaglia's xorshift generators. CoRR, abs/1402.6246. xorshift128+ is known as a fast pseudorandom generator with reasonably good resilience to randomness tests. Since its primary imporance is its speed, do not forget to add inlining directives depending your compiler.
The seed of the xorshift128+ can be jumped by k cycles, where each cycle jumps ahead by \(2^{64}\) random numbers, but quickly. This ability to jump is an important aspect for using random number generators in general but especially in parallel in either OpenMP or MPI paradigms. The time taken to generate a 64 bit integer was 1.06 ns on an IntelR CoreTM i7-4770 CPU @3.40GHz (Haswell) as shown in Vigna (2014). xorshift128+ is the better for less massively parallel applications.
If the period of the random number generator is too small for your application, consider using the xorshift1024* generator which has a period of \(2^{512}\) numbers. The time to generate a 64 bit integer is slightly slower at 1.36 ns
This module contains routines to generate random numbers using the xorshift1024* method by Vigna's extensions to Marsaglia, G., 2003. Xorshift RNGs. Journal of Statistical Software 8, 1 - 6.
This module is a modified version of the public domain code written by Shun Sakuraba in 2015-2016. The original code can be found here. The modified code in coretran is distributed under the coretran license, see the repository for that information.
Vigna's xorshift1024 pseudorandom generator. Sebastiano Vigna. 2014. An experimental exploration of Marsaglia's xorshift generators, scrambled. CoRR, abs/1402.6246. xorshift1024 is a pseudorandom generator with reasonable speed and a good size state space.
The seed of the xorshift1024 can be jumped by k cycles, where each cycle jumps ahead by \(2^{512}\) random numbers, but quickly. This ability to jump is an important aspect for using random number generators in general but especially in parallel in either OpenMP or MPI paradigms. The time taken to generate a 64 bit integer was 1.36 ns on an IntelR CoreTM i7-4770 CPU @3.40GHz (Haswell) as shown in Vigna (2014). xorshift1024 is better for massively parallel applications that draw many realizations.
If the size of the random number generator is too much for your application, consider using the xorshift128+ generator which has a period of \(2^{64}\) numbers. The time to generate a 64 bit integer is faster at 1.06 ns
Overloaded Initializer for a Prng - Pseudo random number generator. Thread safe, xorshift1024* or xorshift128+ generator than can draw from different distributions. See Prng_Class for more information on how to use this class.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| integer(kind=i64), | intent(in) | :: | seed(:) | Fixed seeds of 64 bit integers. If big == true, must be length 16 else must be length 2. |
||
| logical, | intent(in), | optional | :: | big | Use the high period xorshift1024* (true) or xorshift128+ (false). Default is false. |
Prng Class
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| logical, | intent(in), | optional | :: | big | Use the high period xorshift1024* (true) or xorshift128+ (false). Default is false. |
|
| logical, | intent(in), | optional | :: | display | Display the randomly generated seed to the screen for reproducibility |
Prng Class
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(Prng) | :: | this | Prng Class |
|||
| real(kind=r64) | :: | res | Draw from exponential distribution |
Class that generates pseudo random numbers. See Prng_Class for more information on how to use this class.
| Type | Visibility | Attributes | Name | Initial | |||
|---|---|---|---|---|---|---|---|
| integer(kind=i64), | public | :: | seed(0:15) | = | 0 | ||
| integer(kind=i32), | public | :: | ptr | ||||
| logical, | public | :: | big |
Overloaded Initializer for a Prng - Pseudo random number generator. Thread safe, xorshift1024* or xorshift128+ generator than can draw from different distributions. See Prng_Class for more information on how to use this class.
| private function initWithSetseed_Prng(seed, big) | |
| private function initWithRandomSeed_Prng(big, display) |
| procedure, public :: jump => jump_Prng | Jumps the Prng by \(2^{64}\) numbers if the Prng was instantiated with big = .false. or \(2^{512}\) if big = .true. This allows the Prng to be used correctly in parallel on multiple threads for OpenMP, or ranks for MPI. |
| generic, public :: rngExponential => rngExponential_d1_Prng_, rngExponential_d1D_Prng_, rngExponential_d2D_Prng_, rngExponential_d3D_Prng_ | Prng%rngExponential() - Draw from an exponential distribution $$y = \frac{-ln(\tilde{u})}{\lambda}$$ where \(\tilde{u}\) is a sample from a uniform distribution |
| generic, public :: rngInteger => rngInteger_i1_Prng_, rngInteger_i1D_Prng_, rngInteger_i2D_Prng_, rngInteger_i3D_Prng_ | Prng%rngInteger() - Draw a random integer in the interval \(x_{0} <= \tilde{u} <= x_{1}\) $$y = x_{0} + (\tilde{u} * x_{1})$$ where \(\tilde{u}\) is a sample from a uniform distribution, and integers are generated such that \(x_{0} <= \tilde{u} <= x_{1}\). |
| generic, public :: rngNormal => rngNormal_d1_Prng_, rngNormal_d1D_Prng_, rngNormal_d2D_Prng_, rngNormal_d3D_Prng_ | Prng%rngNormal() - Draw from a normal distribution. |
| generic, public :: rngUniform => rngUniform_d1_Prng_, rngUniform_d1D_Prng_, rngUniform_d2D_Prng_, rngUniform_d3D_Prng_ | Prng%rngUniform() - Draw from a uniform distribution Draws uniform random numbers on (0, 1) using either the xorshift1024* or xorshift128+ algorithms. |
| generic, public :: rngWeibull => rngWeibull_d1_Prng_, rngWeibull_d1D_Prng_, rngWeibull_d2D_Prng_, rngWeibull_d3D_Prng_ | Prng%rngWeibull() - Draw from a Weibull distribution $$y = \left[ \frac{-1}{\lambda} ln(\tilde{u}) \right]^{\frac{1}{k}}$$ where \(\tilde{u}\) is a sample from a uniform distribution and \(\frac{-1}{\lambda} ln(\tilde{u})\) is a draw from an exponential distribution. |
Gets a randomly generated seed by getting the current integer time and then using a splitmix algorithm to generate the necessary number of seeds.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| integer(kind=i64), | intent(inout) | :: | seed(:) | Random seeds of 64 bit integers. If big == true, must be size 16 else must be size 2. |
||
| logical, | intent(in), | optional | :: | big | Use the high period xorshift1024* (true) or xorshift128+ (false). Default is false. |
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(Prng), | intent(inout) | :: | this | |||
| real(kind=r64), | intent(out) | :: | val |