Q1. To cache your entire site for an application in Django, you add all except which of these settings?
- django.middleware.common.CommonMiddleware
- django.middleware.cache.UpdateCacheMiddleware
- django.middleware.cache.FetchFromCacheMiddleware
👍 - django.middleware.cache.AcceleratedCacheMiddleware
Q2. In which programming language is Django written?
- C++
- Java
👍 - Python
- Ruby
Q3. To automatically provide a value for a field, or to do validation that requires access to more than a single field, you should override the_ method in the_ class.
- validate(); Model
- group(); Model
- validate(); Form
👍 - clean(); Field
Q4. A client wants their site to be able to load “Rick & Morty” episodes by number or by title—e.g., shows/3/3 or shows/picklerick. Which URL pattern do you recommend?
- url(r'shows/<int:season>/<int:episode>/', views.episode_number)
👍 - path('shows/<int:season>/<int:episode>/', views.episode_number),
- path('shows/<int:season>/<int:episode>', views.episode_number),
- url(r'^show/(?P<season>[0-9]+)/(?P<episode>[0-9]+)/$', views.episode_number),
Q5. How do you determine at startup time if a piece of middleware should be used?
👍 - Raise MiddlewareNotUsed in the __init__ function of your middleware.
- Implement the not_used method in your middleware class.
- List the middleware beneath an entry of django.middleware.IgnoredMiddleware.
- Write code to remove the middleware from the settings in [app]/__init__.py.
Q6. How do you turn off Django’s automatic HTML escaping for part of a web page?
- Place that section between paragraph tags containing the autoescape=off switch.
- Wrap that section between { percentage mark autoescape off percentage mark} and {percentage mark endautoescape percentage mark} tags.
- Wrap that section between {percentage mark autoescapeoff percentage mark} and {percentage mark endautoescapeoff percentage mark} tags.
👍 - You don't need to do anything—autoescaping is off by default.
Q7. Which step would NOT help you troubleshoot the error “django-admin: command not found”?
- Check that the bin folder inside your Django directory is on your system path.
- Make sure you have activated the virtual environment you have set up containing Django.
- Check that you have installed Django.
👍 - Make sure that you have created a Django project.
Q8. Every time a user is saved, their quiz_score needs to be recalculated. Where might be an ideal place to add this logic?
- template
👍 - model
- database
- view
Q9. What is the correct way to begin a class called “Rainbow” in Python?
- Rainbow {}
- export Rainbow:
👍 - class Rainbow:
- def Rainbow:
Q10. You have inherited a Django project and need to get it running locally. It comes with a requirements.txt file containing all its dependencies. Which command should you use?
- django-admin startproject requirements.txt
- python install -r requirements.txt
👍 - pip install -r requirements.txt
- pip install Django
Q11. Which best practice is NOT relevant to migrations?
👍 - To make sure that your migrations are up to date, you should run updatemigrations before running your tests.
- You should back up your production database before running a migration.
- Your migration code should be under source control.
- If a project has a lot of data, you should test against a staging copy before running the migration on production.
Q12. What will this URL pattern match? url(r’^$’, views.hello)
- a string beginning with the letter Ra string beginning with the letter R
👍 - an empty string at the server root
- a string containing ^ and $a string containing ^ and $
- an empty string anywhere in the URLan empty string anywhere in the URL
Q13. What is the typical order of an HTTP request/response cycle in Django?
👍 - URL > view > template
- form > model > view
- template > view > model
- URL > template > view > model
Q14. Django’s class-based generic views provide which classes that implement common web development tasks?
- concrete
- thread-safe
👍 - abstract
- dynamic
Q15. Which skills do you need to maintain a set of Django templates?
- template syntax
👍 - HTML and template syntax
- Python, HTML, and template syntax
- Python and template syntax
Q17. How would you define the relationship between a star and a constellation in a Django model?
👍- class Star(models.Model):
name = models.CharField(max_length=100)
class Constellation(models.Model):
stars = models.ManyToManyField(Star)
- class Star(models.Model):
constellation = models.ForeignKey(Constellation, on_delete=models.CASCADE)
class Constellation(models.Model):
stars = models.ForeignKey(Star, on_delete=models.CASCADE)
- class Star(models.Model):
name = models.CharField(max_length=100)
class Constellation(models.Model):
stars = models.OneToManyField(Star)
- class Star(models.Model):
constellation = models.ManyToManyField(Constellation)
class Constellation(models.Model):
name = models.CharField(max_length=100)
Q18. Which is NOT a valid step in configuring your Django 2.x instance to serve up static files such as images or CSS?
👍 - In your urls file, add a pattern that includes the name of your static directory.
- Create a directory named static inside your app directory.
- Create a directory named after the app under the static directory, and place static files inside.
- Use the template tag {percentage mark load static percentage mark}.
Q19. What is the correct way to make a variable available to all of your templates?
- Set a session variable.
- Use a global variable.
- Add a dictionary to the template context.
👍 - Use RequestContext.
Q20. Should you create a custom user model for new projects?
- No. Using a custom user model could break the admin interface and some third-party apps.
- Yes. It is easier to make changes once it goes into production.
👍 - No. Django's built-in models.User class has been tried and tested—no point in reinventing the wheel.
- Yes, as there is no other option.
Q21. You want to create a page that allows editing of two classes connected by a foreign key (e.g., a question and answer that reside in separate tables). What Django feature can you use?
👍 - actions
- admin
- mezcal
- inlines
Q22. Why are QuerySets considered “lazy”?
- The results of a QuerySet are not ordered.
👍 - QuerySets do not create any database activity until they are evaluated.
- QuerySets do not load objects into memory until they are needed.
- Using QuerySets, you cannot execute more complex queries.
Q23. You receive a MultiValueDictKeyError
when trying to access a request parameter with the following code: request.GET[‘search_term’]. Which solution will NOT help you in this scenario?
👍 - Switch to using POST instead of GET as the request method.
- Make sure the input field in your form is also named "search_term".
- Use MultiValueDict's GET method instead of hitting the dictionary directly like this: request.GET.get('search_term', '').
- Check if the search_term parameter is present in the request before attempting to access it.
Q24. Which function of Django’s Form class will render a form’s fields as a series of
tags?
- show_fields()
👍 - as_p()
- as_table()
- fields()
Q25. You have found a bug in Django and you want to submit a patch. Which is the correct procedure?
- Fork the Django repository GitHub.
- Submit a pull request.
👍 - all of these answers.
- Run Django's test suite.
Q26. Django supplies sensible default values for settings. In which Python module can you find these settings?
Q27. Which variable name is best according to PEP 8 guidelines?
Q28. A project has accumulated 500 migrations. Which course of action would you pursue?
Q29. What does an F() object allow you when dealing with models? 👍 - perform db operations without fetching a model object
Q30. Which is not a django filed type for integers?
Q31. Which will show the currently installed version?
Q32. You should use the http method ** to read data and ** to update or create data
Q33. When should you employ the POST method over GET for submitting data?
Q34. When to use the Django sites framework? 👍 - if your single installation powers more than one site
Q35. Which infrastructure do you need: title=models.charfield(max_length=100, validators=[validate_spelling])
Q36. What decorator is used to require that a view accepts only the get and head methods? 👍 - require_safe()
Q37. How would you define the relation between a book and an author - book has only one author.
👍 - class Author (models.model): name=models.charfield(max_length=100) class Book(models.model): author=models.foreignkey(Author,on_delete=models.cascade)
class Author (models.model): name=models.charfield(max_length=100) class Book(models.model): author=models.foreignkey(Author)
class Author (models.model): name=models.charfield(max_length=100) class Book(models.model): author=models.foreignkey(Author,on_delete=models.cascade)
class Author (models.model): name=models.charfield(max_length=100) class Book(models.model): author=Author.name
Q38. What is a callable that takes a value and raises an error if the value fails? 👍 - validator
Q39. To secure an API endpoint, making it accessible to registered users only, you can replace the rest_framework.permissions.allowAny value in the default_permissions section of your settings.py to
Q40. Which command would you use to apply a migration?
Q41. Which type of class allows QuerySets and model instances to be converted to native Python data types for use in APIs?
Q42. How should the code end? { percentage if spark >= 50 percentage } Lots of spark {percentage elif spark == 42 percentage} The answer
Q43 Which code block will create a serializer? from rest_framework import serializers from .models import Planet
[x] class PlanetSerializer(serializers.ModelSerializer): class Meta: model=Planet fields=(‘name’,‘position’, ‘mass’, ‘rings’)
[] from rest_framework import serializers from .models import Planet class PlanetSerializer(): class Meta: fields=(‘name’,‘position’, ‘mass’, ‘rings’) model=Planet
[] from django.db import serializers from .models import Planet class PlanetSerializer(serializers.ModelSerializer): fields=(‘name’,‘position’, ‘mass’, ‘rings’) model=Sandwich
[] from django.db import serializers from .models import Planet class PlanetSerializer(serializers.ModelSerializer): class Meta: fields=(‘name’) model=Planet
Q44 Which class allows you to automatically create a Serializer class with fields and validators that correspond to your model’s fields?
Q45 Which command to access the built-in admin tool for the first time?
Q46. Virtual environments are for managing dependencies. Which granularity works best?
Q47. What executes various Django commands such as running a webserver or creating an app?
Q48. What do Django best practice suggest should be “fat”?


{% extends "django_backend/base_dialog.html" %} {% load i18n floppyforms django_backend_tags %} {% block content %} {% randid as random_id %} {% block translation_links %} {% if not is_dialog and backend.FEATURES.translatable %}
{% trans "Translations:" %} {% include "django_backend/_object_translations.html" %}
{% endif %} {% endblock %} {% block headline %}{% blocktrans with object=object %}Deleting the {{ object }} would result in deleting related objects, but your account doesn't have permission to delete the following types of objects:{% endblocktrans %}
{% blocktrans with object=object %}Deleting the {{ object }} would require deleting the following protected related objects:{% endblocktrans %}


{% load static %} {% block content %}
The following instructions are brief how-to steps to navigate the Lakes of Texas web application. These instructions provide both information pertaining to the main home map, which allows users to choose which lake story they would like to view, as well as guidance for after a user selects a lake story, showing how to navigate the page and use the tools available within the lake story view.


!= HtmlService.createHtmlOutputFromFile('Stylesheet').getContent(); ?>
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WITNESS LIST Intergovernmental Relations Committee May 9, 2001 - 8:00A HB 170 Registering, but not testifying: For: Bailey, Charles Attorney (TX Hospital District), Austin, TX Oglesbee, Gina none listed (Nacognoches Co. Hospital District), Nacogdoches, TX HB 340 FOR: Allison, Jim General Counsel (County Judges & Commissioner's Assoc.), Austin, TX AGAINST: Joiner, Gary Assoc. Legislative Director (TX Fam Bureau), Austin, TX Small, Ed Attorney (TX Forestry Assoc.), Austin, TX Registering, but not testifying: For: Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX Against: Brockman, Matt none listed (Independent Cattleman's Assoc.), Lockhart, TX HB 351 Registering, but not testifying: For: Allison, Jim General Counsel (County judges & Commissioner;s Assoc.), Austin, TX Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX HB 370 FOR: Salinas III, JD County Clerk (Self), Edinburg, TX Registering, but not testifying: On: Kirchoff, Kim Legislative Liason (TX Assoc. Counties), Austin, TX HB 468 Registering, but not testifying: For: Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX On: Hill, Bobbie none listed (TX Department Housing), Austin, TX HB 602 Registering, but not testifying: On: Beardon, Bob none listed (State Comptroller's Office), Austin, TX Pearson, David program Administrator (Center Rural Health Initiatives), Austin, TX HB 617 FOR: Rodriguez, Martin Director (City of San Antonio), San Antonio, TX HB 820 Registering, but not testifying: For: Casto, Larry Ass. City Attorney (City of Dallas), Dallas, TX On: Pinkley, Craig none listed (TX Depart. Economic Development), Austin, TX HB 1022 Registering, but not testifying: For: Joslove, Scott President & CEO (TX Hotel Motel Assoc.), Austin, TX HB 1191 Registering, but not testifying: For: Allison, Jim Generalo Counsel (County Judges & Commissioner's Assoc.), Austin, TX Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX HB 1445 FOR: Erben, Andy Director Govern. Relatons (KB Homes), Austin, TX AGAINST: Canales, Judith Ass. City Manager (City Eagle Pass), Eagle Pass, TX Conner, Marcia Ass. City Manager (City of Austin), Austin, TX Horton, Susan General Counsel (TX Municipal League), Austin, TX Shute, Tom Ass. City Attorney (City of San Antonio), San Antonio, TX ON: Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX Registering, but not testifying: For: Weaver, Terry President Real Estate Development Co. (Steeling Development & TX Assoc. Builders), Midlothian, TX Against: Martinez, Mario none listed (City of Laredo), Austin, TX Patterson, Ron Director of Planning (City of San Marcos), San Marcos, TX Riley, Bob Director of Development (City of Fort Worth), Ft.Worth, TX Velasquez, Sally Governmental Liason (Webb County), Austin, TX On: Sisk, Cathy none listed (Harris County), Houston, TX HB 2167 Registering, but not testifying: For: Kamm, Bob Attorney (Travis Co. Commissioner's Court), Austin, TX Perry, Ann Attorney's Office (Travis Co. District Attorney's Office), Austin, TX HB 2173 Registering, but not testifying: For: Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX HB 2270 Registering, but not testifying: For: Douglas, Joan Sr. Ass. City Attorney (City of Houston), Houston, TX HB 2273 Registering, but not testifying: For: White, Glenn President Dallas Police Assoc. (Dallas Police Assoc.), Dallas, TX HB 2347 Registering, but not testifying: For: Velasquez, Sally Gov. Liason (Webb County), Austin, TX HB 2405 Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assoc.), Austin, TX Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX HB 2677 Registering, but not testifying: For: Simpson, Dee Political Director (American Federatoin of State County Municipal Employees), Austin, TX Vara, Lonnie Director (City of Houston), Houston, TX HB 2751 Registering, but not testifying: For: Barlow Fischer, Melissa Attorney (District Court Judges Bexar County), San Antonio, TX Mitchell, Seth Intergovernmental Services Manager (Bexar County Commissione's Court), San Antonio, TX HB 2758 Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assoc.), Austin, TX HB 2782 Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissoiner's Assoc.), Austin, TX Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX Mitchell, Seth Intergovernmental Services Manager (Bexar Co. Commissioner's Court), San Antonio, TX HB 2873 Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioner's Assoc.), Austin, TX Kirchoff, Kim Legislative Liason (County District Clerks), Austin, TX Salinas III, JD Co. Clerk (Self), Edinburg, TX HB 2972 FOR: Ferrell Jr., Craig Deputy Director (City of Houston & Police Depart.), Houston, TX Marticivc, Hans police Officer (Houston Police Officers), Houston, TX Vara, Lonnie Director (City of Houston), Houston, TX AGAINST: Groves, Norris Police Officer (Afro-American Police Officer's League), Houston, TX Mosqueda, Cesario Police Officer (OSSO), Houston, TX Registering, but not testifying: For: Berry, JJ Police Officer (Houston Police Officer's Union), Houston, TX Hicks, Gary Police Officer (Houston Police Officer's Union), Houston, TX Johnson, Rodney Police Officer (Houston Police Officer's Union), Missouri City, TX Lee, Von Police Officer (Houston Police Officer's Union), Houston, TX Park, Connie Police Officer (HPOU), Houston, TX Pena, Albert Police Officer (Houston Police Officer's Union), Houston, TX Ramos Jr., Adalberto Police Officer (Houston Police Officer's Union), Houston, TX Against: Cherry, Darryl Police Officer (Self), Houston, TX Lewis, Lori Police Officer (Self), Houston, TX Sanders, Stephen Police Officer (Houston Police Patrolmen's Union), Houston, TX Towns, Doug Police Officer (Houston Police Officer's Union), Houston, TX On: Jimenez, Eddie Police Officer (Houston Police Officer's Union), Cypress, TX HB 3055 Registering, but not testifying: For: Kamm, Bob Attorney (Travis Co. Commissioner's Court), Austin, TX Nellis, Leroy Budget Manager (Travis Co. Commissioner's Court), Austin, TX HB 3121 FOR: Lee, Donald Executive Director (TX Conference Urban Counties), Austin, TX Registering, but not testifying: For: Allaway, Bill TX Taxpayers & Research Assoc. (TTARA), Austin, TX Allison, Jim General Counsel (County Judges & Commissioner's Assoc.), Austin, TX Amezquita, Michael Chief Appraiser (Cameron Appraisal District), San Benito, TX Chambers, Spencer none listed (TX Assoc. Business & Chambers of Commerce), Austin, TX Christian, George Attorney (TX Taxpayers & Research Assoc.), Austin, TX Hazlewood, Steve Dow Chemical Company (TX Chemical Council), Freeport, TX Richie, Carl Attorney (Continental Airlines), Austin, TX Robinson, Jim Chief Appraiser (TX Assoc. Appraisal Districts), Houston, TX White, Gerald "Buddy" Tax Assessor (TX Assoc. Appraisal Districts), Bryan, TX White, Michael Attorney (Greater Houston Partnership), Austin, TX HB 3161 Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assoc.), Austin, TX Harris, Jack County Commissioners (Brazoria County), Pearland, TX HB 3162 Registering, but not testifying: For: Cryan, Charles Finance Director (City of College Station), College Station, TX HB 3172 Registering, but not testifying: For: Campbell, Jim Director (City of San Antonio), San Antonio, TX Mitchell, Seth Intergovernmental Services Manager (Bexar Co. Commissioner's Court), San Antonio, TX Short, Jim Lobbyist (Ft.Bend County), Fulsheau, TX HB 3285 Registering, but not testifying: For: Richie, Carl Attorney (Continental Airlines), Austin, TX HB 3312 Registering, but not testifying: For: Middleton, Greg Emergency Medical services (Self), austin, TX On: Arnold, Jim none listed (TX Depart. Health), Austin, TX HB 3333 Registering, but not testifying: For: Hargrove, Lisa Sr. Ass. City Attorney (City of Houston), Houston, TX HB 3383 FOR: Gonzalez, Jose none listed (Self), San Antonio, TX Moreau, Walter Executive Director (Foundation Communities), Austin, TX Ocanas, Reymundo none listed (TX Assoc. Community Development Corps.), Austin, TX Smith, Rowan Contractor (Self), Houston, TX Williams, Sandra Affordable Housing Developer (Alamo Area Mutual Housing Assoc.), San Antonio, TX AGAINST: Allen, Monique Pres. CDC (Dallas Co. Homes), Dallas, TX Condit, John Real Estate Management (Domicile Property), San Antonio, TX Fitzgerald, Rodric Affordable Housing Developer (American Opportunity for Housing), San Antonio, TX Mintz, David Director Goven. Affairs (TX Apartment Assoc.), Austin, TX Taylor, Laura Executive Director (American Agape Foundation), San Antonio, TX Registering, but not testifying: For: Gonzalez, Helen none listed (Self), Kyle, TX Pitts, John Bozrah International Ministries (Self), Houston, TX Randell, Ron CHDO (San Antonio Alternative Housing), San Antonio, TX Against: Eaton, Michael Attorney (Maple Avenue Economic Development Corp.), Dallas, TX HB 3603 Registering, but not testifying: For: Jones, Chris none listed (Combined Law Enforcement Assoc.-TX), Austin, TX HB 3646 Registering, but not testifying: For: Kamm, Bob Attorney (Travis Co. Commissioner's Court), Austin, TX HB 3680 Registering, but not testifying: For: Knaupe, Gregg Attorney (Comanche Hospital District), Austin, TX SB 1822 Registering, but not testifying: On: Barrett, Andy Attorney (Coyote Crew Land), Austin, TX


This page contains some interesting (IMHO) events for students and young
researchers in Computer Science.
Newest entries
- Summer School on Verification and Validation of Dependable Cyber-Physical Systems (Jul 18 – Jul 20, 2023)
- 3rd Summer School on Formal Methods for Cyber-Physical Systems (Aug 28 – Aug 31, 2023)
- Autumn School 'Proof and Computation' (Sep 10 – Sep 16, 2023)
- 1st Summer School on Distributed and Replicated Environments (DARE 2023) (Sep 11 – Sep 15, 2023)
- 18th International Summer School on Training And Research On Testing (TAROT) (Jul 3 – Jul 7, 2023)
School on Univalent Mathematics
Homotopy Type Theory and Univalent Mathematics are emerging fields of
mathematics that study a fruitful relationship between homotopy theory and
(dependent) type theory. This relation plays a crucial role in Voevodsky’s
program of Univalent Foundations, a new approach to foundations of mathematics,
based on ideas from homotopy theory, such as the Univalence Principle.
The UniMath library is a large repository of computer-checked mathematics,
developed from the univalent viewpoint. It is freely available for everyone, as
an open-source project, from the web. The School will give many young
researchers an opportunity to familiarize themselves with the UniMath library
and become contributors.
Participants will receive an introduction to Univalent Foundations and to
Mathematics in those foundations, by leading experts in the field. In the
accompanying problem sessions, participants will formalize pieces of Univalent
Mathematics in the UniMath library.
Scottish Programming Languages and Verification Summer School (SPLV)
The Scottish Programming Languages and Verification Summer School is a collaborative effort between the Universities of Edinburgh, Glasgow, Heriot-Watt, Strathclyde and St Andrews. This summer school provides core and advanced classes that cover foundational as well as state of the art knowledge on the underlying principles needed to use or design new languages and verifying program correctness.
This school aims to:
- Facilitate rapid knowledge exchange, in addition to providing essential research training and networking for postgraduate students.
- Give postgraduate students the opportunity to network with fellow students in the field as well as many established researchers.
- Provide essential postgraduate training in theoretical underpinnings of computer science and in programming languages
Summer school on Neurosymbolic Programming
Neurosymbolic programming is an exciting new area at the intersection of
Program Synthesis and Machine Learning that aims to learn models that
incorporate program-like structure. For this first summer school in
Neurosymbolic Programming we aim to bring together students and researchers
from different backgrounds who are interested in learning about the state of
the art, applications and open problems in the field.
The summer school will include lectures and hands-on tutorials from leading
researchers in the area.
15th Summer School on Modelling and Verification of Parallel Processes (MOVEP)
MOVEP is a five-day summer school on modelling and verification of infinite
state systems. It aims to bring together researchers and students working in
the fields of control and verification of concurrent and reactive systems.
MOVEP 2022 will consist of ten invited tutorials. In addition, there will be
special sessions that allow PhD students to present their on-going research
(each talk will last around 20 minutes). Extended abstracts (1-2 pages) of
these presentations will be published in informal proceedings.
11th Summer School on Formal Techniques (SSFT)
Techniques based on formal logic, such as model checking, satisfiability, static
analysis, and automated theorem proving, are finding a broad range of
applications in modeling, analysis, verification, and synthesis. This school,
the eleventh in the series, will focus on the principles and practice of formal
techniques, with a strong emphasis on the hands-on use and development of this
technology.
It primarily targets graduate students and young researchers who are interested
in studying and using formal techniques in their research. A prior background in
formal methods is helpful but not required. Participants at the school can
expect to have a seriously fun time experimenting with the tools and techniques
presented in the lectures during laboratory sessions.
27th Bertinoro International Spring School (BISS)
Italian Computer Science PhD granting institutions under the auspices of GRIN,
organizes an annual school offering three graduate-level courses aimed at PhD
students in Computer Science. In addition to introducing students to timely
research topics, the school is meant to promote acquaintance and collaboration
among young European researchers.
1st Greek ACM-W Chapter Winter School - Fairness in AI
We are living the revolution of AI. AI offers enormous opportunities, but it
comes with a cost. AI-driven systems are increasingly being used in all aspects
of society to assist, or even replace human decision making. Can we trust such
systems? Every day, we use search, recommendations, personal assistants to help
in all sorts of decisions from where to dine and what movie to watch, to more
fundamental ones, such as our stance on political issues and worldwide events.
AI is widely being used by public and private bodies to assist decisions in
courts, in college admissions, and job recruitment. Issues of biased treatment,
exclusion, and unfairness are raised, with concerns exaggerated by various
cases catching the public attention.
The school will include tutorials, invited talks, and a panel. Students will be
actively involved through assignments, discussions, and participation in
working groups.
1st International Winter School on Software Engineering
The software industry is a fast-growing area of the global economy today, and
software forms an essential part of the information systems where their
intelligence is concentrated.
Demand for leading technical experts, qualified software developers and
architects, as well as quality assurance managers from the IT and communication
industry increases due to opening IT technology parks, rapid growth in offshore
and outsourced programming, digitalization of public services, and the needs of
private businesses.
This School aims at spreading and sharing knowledge of state-of-the-art
software engineering tools and techniques. Among the speakers of the School are
leading programmers and engineers from academia and industry. Participation is
free, you just need to register. The event is open to everyone: undergraduate
and postgraduate students, young specialists, researchers, etc.
GDR RSD / ASF Winter School on Distributed Systems & Networks
The GDR RSD and ACM SIGOPS France are happy to organise the 6th edition of the
winter school on distributed systems and networks that will take place the
24-28th January 2022 in the resort Sept Laux, Le Pleynet (near Grenoble). This
school, which primarily targets PhD students will feature 7 thematic sessionsi
on the following topics: Performances; Machine Learning/IA; Networks; Cloud
Computing; Security; System; Middleware. PhD students are expected to give
a 15min presentation in the session of their choice.
Linear Logic Winter School
The role of Linear Logic as an underlying structure of logic and computation is
widely acknowledged. As such, it is not only a research subject in itself, but
also a conceptual framework, offering an original and fruitful viewpoint on the
objects of logic and computer science.
This school will offer an introduction to the main concepts and essential
results in Linear Logic, based on an undergoing project to produce a reference
textbook, within the International Research Network on Linear Logic. The
lectures will be given by some of the foremost experts of the subject, involved
in that collaborative effort. The school will moreover include a lab work
session, using recently developed software to construct and manipulate Linear
Logic proofs.
In addition to the lectures, the week will be concluded by a series of tutorial
talks on a selection of advanced subjects, reflecting current research
directions involving Linear Logic.


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GeoSpy
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{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} ALPHA This is a new service – your feedback will help us to improve it. Check your site codes Name Code Description Action NACE 10.71 Manufacture of bread; manufacture of fresh pastry goods and cakes Change NOSE-P codes NOSE-P 105.03 Manufacture of food products and beverages Change NACE code NOSE-P 109.07 Other waste treatment, transfer etc Change NACE code E-PRTR 8 (b) Treatment and processing intended for the production of food and beverage products from: (i) Animal raw materials (other than milk), (ii) Vegetable raw materials Change E-PRTR code E-PRTR 5 (c) Installations for the disposal of non-hazardous waste Change E-PRTR code {% endblock %}
ALPHA This is a new service – your feedback will help us to improve it.


ASCRAR - ASsume CRAzy Reasons
Thinking about how you're thinking is a trip.
April 26th, 2015
Thinking Strategies
I am generally sceptical of pseudo-sciences (homeopathy, etc.) and personality studies are right on the border for me. Anything that reminds me of my first Myspace quiz (I got Superman as the super-hero that I am, on the third try), tips the scales even further against it. My natural inclination when presented with the quiz, is to game the quiz to get a flattering alignment. Probably tells you more about who I am than the quiz results, but, hey, I am a game player. I love games, and the most powerful thing that you can do in any game is break it.
All that aside, I suspended disbelief for a few minutes and tried to be as genuine and honest in my answers as possible. The hope being that doing so will give me some insight, as statistically insignif… sorry forgot I was suspending disbelief.
The result was a nearly isosceles triangle with a right angle at 50 AR. The only thing that I don’t seem to be is Concrete Sequential. This makes me think that it might be most useful to define what I am not.
Concrete Sequential Thinkers tend to be based in reality. They process information in an ordered, sequential, linear way.
I would at least like to think that I am most of this, and I guess I am in parts since I am both AS and CR. The key difference seems to be in how things get paired up, since I am not always an ordered (read organized) person, and enjoy strategies that aren’t linear. So I guess, in the fabulous fortune teller tradition of post-rationalization, that the negative result is accurate.
What does that tell me about how to support my learning? Well it atleast seems to imply that I don’t need to worry so much about making sure my learning environment is structured, or that the group has a clear agenda when talking.
ASCRAR- The rest of the thinking styles I seem to be an equal mix of. I Have tride to figure out a method to figure out my predominate style, and there are 2 R’s and 2 A’s in my code of likely thinking styles, so AR seems to be good enough. Let’s dig into that style to see what we can find about what I should be looking to problem solve.
- to listen to others
- bringing harmony to group situations
- establishing healthy relationships with others
- focusing on the issues at hand
- in a personalized environment
- given broad or general guidelines
- able to maintain friendly relationships
- able to participate in group activities
- Having to explain or justify feelings
- Competition
- Working with dictatorial/authoritarian personalities
- Working in a restrictive environment
- Working with people who don’t seem friendly
- Concentrating on one thing at a time
- Giving exact details
- Accepting even positive criticism
This learner likes:
They learn best when:
What's hard for them?
So in when they learn best category, it suggests that I work in groups (good fit for DBC), and have a personalized learning environment. I think that some of that will be a really good fit for the DBC intensive time, because it is group focused, and there is a lot of room for advocacy and input into the learning. However, I am sure there are going to be lots of instances where I won’t be able to have a personalized learning environment, and that I will have to work with teams that are unharmonious.
Growth Mindset
I take opperating under the growth mindset pretty much for granted at this point. In education, believing that students can and do actively shape their intellegence is fundemental to engineering change. Applying this to DevBootcamp seems natural, I am a student attempting to change my base intellegence to allow me to be effective at creating programs. I hope that I can take that core, unshakeable belief all the way through the next two months.


| YANG Model | Compilation Result (pyang --lint). pyang 2.5.3 | Compilation Result (pyang). Note: also generates errors for imported files. pyang 2.5.3 | Compilation Results (confdc) Note: also generates errors for imported files. confd version confd-7.6 | Compilation Results (yangdump-pro). Note: also generates errors for imported files. yangdump-pro 20.10-9 | Compilation Results (yanglint -V -i). Note: also generates errors for imported files. yanglint 2.0.164 |
|---|---|---|---|---|---|
| ietf-netconf-acm@2018-02-14 |


Chess is a two-player board game.Venue ECB GYM
Contact:Carrom (also known as Karrom) is a "strike and pocket" table game of Eastern origin similar to billiards and table shuffleboard.Venue ECB GYM
Contact:Arm wrestling involves two participants. Each places one arm on a surface with their elbows bent and touching the surface, and they grip each other's hand. The goal is to pin the other's arm onto the surface, the winner's arm over the loser's arm.
Contact:Table tennis, also known as ping pong, is a sport in which two or four players hit a lightweight ball back and forth across a table using a small bat. The game takes place on a hard table divided by a net.Venue- ECB GYM.
Contact:


animation="property: rotation; to: 0 360 0; dur: 10000;"
animation__mouseenter="property: components.material.material.color; type: color; to: red; startEvents: mouseenter; dur: 500";
animation__mouseleave="property: components.material.material.color; type: color; to: white; startEvents: mouseleave; dur: 500";>


CrimsonCode is a 24-hour collegiate hackathon held at Washington State University in Pullman, WA.
We encourage students of all majors and all levels of coding experience to attend. We will have mentors available to help you learn new technologies and give guidance on projects.
CrimsonCode is completely free as we believe that it is more important for students to focus on their projects rather than worrying about the essentials. As such, all food, caffiene, and internet will be completely free during the event.
Most importantly, bring your excitement and passion. Besides those two things, students should also bring a laptop (or desktop computer), charger, power strip, and student ID. Toothbrush, change of clothes, and sleeping bag/blanket are also highly recommended.
In order to allow teams to be from more diverse academic backgrounds, teams can be a maximum of 4 people per team. As such, we encourage participants to work with some people that they don't know.
In the months and weeks leading up to the hackathon, we will be hosting activities to help people find teams. Please check our Facebook page for more specific details on these activities.
Before the hackathon, we will be hosting activities that will give example ideas and have brainstorming sessions to help potential participants come up with ideas. Please check our Facebook page for more specific information on these activities.
No. We encourage everyone to start a brand new project at the hackathon. However, you are allowed to develop libraries or use outside libraries to help you with your project. If you think you might be in sketchy territory, contact or find an organizer to have us check it out.
Please reach out to us via Facebook, Twitter, or send us an email. We'd be more than happy to answer any questions you may have.
The leaders and organizers of the CrimsonCode hackathon are a group of hard working people that help to make this event possible. All of the leaders and organizers are full-time students at Washington State University who have volunteered to dedicate their valuable time to the planning and execution of the CrimsonCode hackathon.
Aleah Lucena
Alex Castillo
David Henshaw
Jacob Plank
Kelsey Dearing
Morgan Gehrke
Nikolaus Walton
Amber Skogen
Brady Wuestney
Cal Merriman
Delaney Mathews
Jessica Zhou
Kate Ankrom
Rahul Singal
Carlos He He
Ngoc Duong
Aaron Hansen
Connor Wytko
Kyler Little
Madi Jane
Manuel Berrueta
Monique Perez


| Using Multi-lingual text in FusionCharts |
|
FusionCharts allows you to use multi-lingual (UTF-8) characters on the charts. Shown below is an example where we've used names using various languages on the chart: |
The XML for the above chart is : <graph rotatenames='0' xaxisname='Ελλάς' yaxisname='шаяьеду Y-Axis' caption='Ελλάς' subCaption='рыщц' numdivlines='4' lineThickness='3' pieborderColor='FFFFFF' pieFillAlpha='95' pieRadius='95'> |
| The XML is using texts in various languages (put in bold). To make the charts show these languages (and many other languages not included here) you have to store the file in UTF-8 Unicode Encoding Format with proper BOM mark. With out BOM mark the chart may somewhat look like the chart below : |
You can use multi-lingual characters in all the charts in FusionCharts suite. However, any rotated text on chart cannot show non-English characters. That is, if you want to use multi-lingual characters, you'll need to show horizontal x-axis labels without being rotated (using <graph rotateNames='0' ..>). FusionCharts supports only left-to-right languages as of now. It doesn't have native support for right-to-left languages like Hebrew. So, if you want to use Hebrew with FusionCharts, you'll have to programmatically change the text sequence and then provide the data to FusionCharts. |
| How to use multi-lingual characters? |
To use multi-lingual characters on the chart, you necessarily need to use dataURL method. dataXML method would give "Invalid XML" error when using multi-lingual characters on certain occasions. If you're using a physical XML file, make sure it's saved in UTF-8 format with proper BOM mark. |


Certificate thumbprint for vCenter Server {{vcenterHost}}
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Click Continue if the thumbprint is valid or Cancel if the thumbprint is not valid.


Machine-dependent parameters such as the block size are set by calls to an inquiry function which may be set with different values on each machine. The declaration of the environment inquiry function is
INTEGER FUNCTION ILAENV( ISPEC, NAME, OPTS, N1, N2, N3, N4 )where ISPEC, N1, N2, N3, and N4 are integer variables and NAME and OPTS are CHARACTER*(*). NAME specifies the subroutine name: OPTS is a character string of options to the subroutine; and N1-N4 are the problem dimensions. ISPEC specifies the parameter to be returned; the following values are currently used in LAPACK:
ISPEC = 1: NB, optimal block size
= 2: NBMIN, minimum block size for the block routine to be used
= 3: NX, crossover point (in a block routine, for N < NX, an unblocked
routine should be used)
= 4: NS, number of shifts
= 6: NXSVD is the threshold point for which the QR
factorization is performed prior to reduction to
bidiagonal form. If M > NXSVD N, then a
QR factorization is performed.
= 8: MAXB, crossover point for block multishift QR
= 9: SMLSIZ, maximum size of the subproblems at the
bottom of the computation tree in the divide-and-conquer
algorithm
= 10: NAN, IEEE NaN arithmetic can be trusted not to trap
= 11: INFINITY, infinity arithmetic can be trusted not to trap
The three block size parameters, NB, NBMIN, and NX, are used in many different subroutines (see Table 6.1). NS and MAXB are used in the block multishift QR algorithm, xHSEQR. NXSVD is used in the driver routines xGELSS and xGESVD. SMLSIZ is used in the divide and conquer routines xBDSDC, xGELSD, xGESDD, and xSTEDC. The parameters NAN and INFINITY are used in the driver routines xSTEVR and xSYEVR/xCHEEVR to check for IEEE-754 compliance. If compliance is detected, then these driver routines call xSTEGR. Otherwise, a slower algorithm is selected.
The LAPACK testing and timing programs use a special version of ILAENV where the parameters are set via a COMMON block interface. This is convenient for experimenting with different values of, say, the block size in order to exercise different parts of the code and to compare the relative performance of different parameter values.
The LAPACK timing programs were designed to collect data for all of the routines in Table 6.1. The range of problem sizes needed to determine the optimal block size or crossover point is machine-dependent, but the input files provided with the LAPACK test and timing package can be used as a starting point. For subroutines that require a crossover point, it is best to start by finding the best block size with the crossover point set to 0, and then to locate the point at which the performance of the unblocked algorithm is beaten by the block algorithm. The best crossover point will be somewhat smaller than the point where the curves for the unblocked and blocked methods cross.
For example, for SGEQRF on a single processor of a CRAY-2, NB = 32 was observed to be a good block size, and the performance of the block algorithm with this block size surpasses the unblocked algorithm for square matrices between N = 176 and N = 192. Experiments with crossover points from 64 to 192 found that NX = 128 was a good choice, although the results for NX from 3*NB to 5*NB are broadly similar. This means that matrices with should use the unblocked algorithm, and for N > 128 block updates should be used until the remaining submatrix has order less than 128. The performance of the unblocked (NB = 1) and blocked (NB = 32) algorithms for SGEQRF and for the blocked algorithm with a crossover point of 128 are compared in Figure 6.1.
By experimenting with small values of the block size, it should be straightforward to choose NBMIN, the smallest block size that gives a performance improvement over the unblocked algorithm. Note that on some machines, the optimal block size may be 1 (the unblocked algorithm gives the best performance); in this case, the choice of NBMIN is arbitrary. The prototype version of ILAENV sets NBMIN to 2, so that blocking is always done, even though this could lead to poor performance from a block routine if insufficient workspace is supplied (see chapter 7).
Complicating the determination of optimal parameters is the fact that the orthogonal factorization routines and SGEBRD accept non-square matrices as input. The LAPACK timing program allows M and N to be varied independently. We have found the optimal block size to be generally insensitive to the shape of the matrix, but the crossover point is more dependent on the matrix shape. For example, if M >> N in the QR factorization, block updates may always be faster than unblocked updates on the remaining submatrix, so one might set NX = NB if .
Parameter values for the number of shifts, etc. used to tune the block multishift QR algorithm can be varied from the input files to the eigenvalue timing program. In particular, the performance of xHSEQR is particularly sensitive to the correct choice of block parameters. Setting NS = 2 will give essentially the same performance as EISPACK. Interested users should consult [3] for a description of the timing program input files.


World of Warcraft Classic's world bosses and PVP honor system coming November 12
by Steven MessnerDuring the opening ceremony of BlizzCon 2019, game director Ion Hazzikostas took the stage to talk all about World of Warcraft's 15th anniversary and upcoming plans for both Battle for Azeroth and Classic. With regards to Classic, the good news is that Phase Two—which adds world bosses like Kazzak, the PVP Honor System, and more—will be launching in just a few weeks on November 12.
That's good news for Classic's hardcore players who have cleared Classic's endgame content and are looking for some new villains to take down a peg or two. Even better news for bloodthirsty PvPers seeking some recognition for their efforts.
"If you've still any quests to finish up in Hillsbrad, I would recommend you get those done between now and then," said Hazzikostas. "Just a hunch."
Hillsbrad is one of the places where Alliance and Horde territory collides and has historically been a popular place for PvP and fights between the factions. With WoW Classic finally getting the PvP Honor System, expect to see the foothills fill up with PvPers looking for a scrap.


Congratulation Rishmy on winning best actress award at SAARC film festival 2017
Aishath Rishmy has won the award for Best Actress at the South Asian Association for Regional Corporation (SAARC) Film Festival 2017.She won the award for her acting in the Film ‘Vishka’, which she had produced as well.
NCA was established on 29th December 2005. NCA is dedicated to the mission of encouraging and supporting the arts in Maldives by providing financial support, services, and other programs for a variety of arts organizations or individual artists and the community as a whole.
There are only a small amount of actors and actresses, which could be a factor that the industry is unable to successfully gain much improvement to the industry over the recent years even with much hard work and dedication. It needs a lot of development and new quality actors to make the work and story of good quality for a bigger worldwide audience. The film industry of Maldives requires many upcoming artists to make the industry come up to the limelight of the world film industry. The magnificent locations and beaches could make it easier for the crews to get a perfect background for a great movie.


STAGE 0 ASSIGNMENT SUBMISSION:
Creating A Web Page From Personal Notes.
Major pieces / concepts of the web
- These are:You, Your Computer + Browser, the Internet, HTTP (protocol used by the internet) and Servers that are used to send files.
- Example: when a user accesses a web page on the internet their computer sends a HTTP request to a server. A web browser interprets the http document when it is received at the user’s computer from the server and displays it appropriately.
- Explained further in this video.
World Wide Web
- Hyper Text Markup Language is used to construct Web Pages.
- HTML is made up of:
- Text content – what you see.
- Markup – what it looks like / how it is arranged.
- References - to other files eg. Images and videos.
- Links - to other pages.
- Pages are linked by Hyperlinks.
- Invented in early 1990s – now has 30 billion pages.
Web Pages
- Web Browsers, such as Firefox, Chrome and Internet Explorer, take a HTML text document (Web Page) and interpret the HTML to display the appropriate content.
- If we don’t provide computers with the correct instructions (code) it cannot decipher for itself what it should do.
- This is refered to as writing in the correct Syntax.
- You are not expected to remember every “tag” or piece of “code” – this can be looked up / referenced somewhere but the programming / coding needs to be correct.
Hypertext Markup Language (HTML)
- Markup is made up of Tags
- A HTML tag is always contained within “less-than” and ”greater-than” brackets. eg < >
- Most tags have an Open Tag (eg  is the open tag for bold type font) as well as a Close Tag, (eg  is the close tag for bold type font).
- <NAME OF TAG>Contents</NAME OF TAG>
↑ Opening tag  ↑ Closing tag
- Whole thing is referred to as an ELEMENT (as mentioned below).
- Void tags (like
 (creates a line break)) do not require a closing tag.
- An Element refers to everything within a set of opening and closing tags. See below for example.
- An Attribute is a property of a HTML element.
- An Element with and attribute is displayed as: <tag> attr=”value”>contents</tag>
-  tag is an “anchor” tag that is used for making a link
- For example, to set the "href" attribute of an "anchor" tag to my company URL, you would write:
NameTheLink
This would allow me to create a hyperlink: www.pinkskipbags.com.au
Examples and other Tags
-  tags = BOLD text.
-  tags = emphasis / italics text.
- An example of using the Attribute property: ClickMe is used to create the link: ClickMe
- href (attribute name), www.reddit.com (value), "ClickMe" is the text (content) of the link to be created.
- The image tag =
- It is written in the format
- src (attribute = source), alt (attribute = alternate text to be displayed if url cannot be found.
- Images are a void tag. A void tag has no content and therefore does not have a closing tag.
- Whitespace
-
 tag creates a break in text to appear on separate lines.
- It has no content so it is a void tag – no closing tag required.
- It is an “inline” element (see below).
 Shows where a line ends.
- Additional spaces: If you try to add more than one space by pressing the spacebar, the additional spaces will be deleted. You need to add
| | to create multiple s p a c e s between letters or word.s
- Most Elements are categorized as BLOCK elements or INLINE elements.
- Block elements usually start and finish with a new line when displayed in a browser.
Eg:
,
,

- Inline elements are usually displayed without line breaks.
Eg: , , ,
-
paragraph
 is a “block” element. It creates a block / box for all the text.
- text is an inline element.
text
 is a block element.
- The most common attribute used for both are Style and Class
.


In order to calculate a round, first introduce the money you want to raise, then how many shares
do you want to give to the investor and finally press ADD button.
Pre money
k
Money raised
k
Post money
k
Doesn't know how to distribute your shares? Check Founders


import datetime
from mesa import Agent
[docs]class Time(Agent):
"""
Class that inherits of the Agent class to manage the time in sexagesimal units.
Attributes:
clock: Clock for time monitoring during simulation.
timeByStep: Time in seconds associated with each step.
startDay: Time of the beginning of a day in the simulation.
endDay: Time of the end of a day in the simulation.
Methods:
step: Advance of the clock in a step.
increaseTime: Increase the value of the clock a given time.
decreaseTime: Decrease the value of the clock a given time.
"""
def __init__(self, model, timeByStep = 60, day = 1, hour = 7, minute = 50, seg = 0, microsecond = 0):
super().__init__(100000, model)
"""
Create a new Time object.
Args:
models: Associated Model object.
timeByStep: Time in seconds associated with each step.
day, hour, minute, seg, microsecond: Initial time value of the clock.
Return: Time object.
"""
self.timeByStep = timeByStep
today = datetime.date.today()
self.startDay = datetime.datetime(today.year, today.month, day, hour, minute, seg, microsecond)
self.endDay = datetime.datetime(today.year, today.month, 1, 20, 0, 0, 0)
self.clock = self.startDay
[docs] def increaseTime(self, seconds=0, days=0, hours=0, minutes=0, microseconds=0):
"""
Increase the value of the clock a given time.
Args:
seconds, days, hours, minutes, microseconds: Time value to be increase.
Return: The new Clock object.
"""
clockOld = self.clock
dayOld = clockOld.day
clockNew = clockOld + datetime.timedelta(days=days, minutes=minutes, seconds=seconds, microseconds=microseconds)
if clockNew.hour >= self.endDay.hour and clockNew.minute > self.endDay.minute:
clockNew = datetime.datetime(2107, 1, dayOld+1, self.startDay.hour, self.startDay.minute, 0, 0)
+ (clockNew - self.endDay)
return clockNew
[docs] def decreaseTime(self, days=0, hours=0, minutes=0, seconds=0, microseconds=0):
"""
Decrease the value of the clock a given time.
Args:
seconds, days, hours, minutes, microseconds: Time value to be decrease.
Return: The new Clock object.
"""
clockOld = self.clock
clockNew = clockOld - datetime.timedelta(days=days, minutes=minutes, seconds=seconds, microseconds=microseconds)
return clockNew
[docs] def step(self):
"""Advance of the clock in a step."""
self.clock = self.increaseTime(self.timeByStep)
print(self.clock.strftime("%d:%H:%M:%S"))


# This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# 3. Neither the name of the QuTiP: Quantum Toolbox in Python nor the names
# of its contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
 IN NO EVENT SHALL THE COPYRIGHT
# HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
###############################################################################
"""
Photon scattering in quantum optical systems
This module includes a collection of functions for numerically computing photon
scattering in driven arbitrary systems coupled to some configuration of output
waveguides. The implementation of these functions closely follows the
mathematical treatment given in K.A. Fischer, et. al., Scattering of Coherent
Pulses from Quantum Optical Systems (2017, arXiv:1710.02875).
"""
# Author: Ben Bartlett
# Contact<EMAIL_ADDRESS>import numpy as np
from itertools import product, combinations_with_replacement
from qutip import propagator, Options, basis, tensor, zero_ket, Qobj
__all__ = ['temporal_basis_vector',
'temporal_scattered_state',
'scattering_probability']
class Evolver:
"""
A caching class which takes a Hamiltonian and a list of times to calculate
and memoize propagators for the system between any two times as demanded.
Parameters
----------
H : :class: qutip.Qobj or list
System-waveguide(s) Hamiltonian or effective Hamiltonian in `Qobj` or
list-callback format. If construct_effective_hamiltonian is not
specified, an effective Hamiltonian is constructed from H and c_ops.
times : list-like
List of times to evaluate propagators over.
options : :class: qutip.Options
Solver options to use when computing propagators.
Attributes
----------
H : :class: qutip.Qobj or list
System-waveguide(s) Hamiltonian, may be time-dependent.
tlist : list-like
List of times to evaluate propagators over.
propagators : (dict of float: (dict of float: :class: qutip.Qobj))
Dictionary of dictionaries of propagator objects with keys of
evaluation times, e.g. propagators[t2][t1] returns U[t2,t1].
"""
def __init__(self, H, tlist, options=None):
self.H = H
self.tlist = tlist
if options is None:
self.options = Options(nsteps=10000, normalize_output=False)
else:
self.options = options
# Make a blank nested dictionary to store propagators
self.propagators = dict.fromkeys(tlist)
for t in tlist:
self.propagators[t] = dict.fromkeys(tlist)
def prop(self, tf, ti):
"""Compute U[t2,t1] where t2 > t1 or return the cached operator.
Parameters
----------
tf : float
Final time to compute the propagator U[tf, ti].
ti : float
Initial time to compute the propagator U[tf,ti].
Returns
-------
propagator : :class: qutip.Qobj
The propagation operator.
"""
left, right = np.searchsorted(self.tlist, [ti, tf], side='left')
t1, t2 = self.tlist[left], self.tlist[right]
if self.propagators[t2][t1] is None:
self.propagators[t2][t1] = propagator(self.H, [t1, t2],
options=self.options,
unitary_mode='single')
# Something is still broken about batch unitary mode (see #807)
return self.propagators[t2][t1]
def set_partition(collection, num_sets):
"""
Enumerate all ways of partitioning collection into num_sets different lists,
e.g. list(set_partition([1,2], 2)) = [[[1, 2], []], [[1], [2]], [[2], [1]],
[[], [1, 2]]].
Parameters
----------
collection : iterable
Collection to generate a set partition of.
num_sets : int
Number of sets to partition collection into.
Returns
-------
partition : iterable
The partitioning of collection into num_sets sets.
"""
for partitioning in product(range(num_sets), repeat=len(collection)):
partition = [[] for _ in range(num_sets)]
for i, set_index in enumerate(partitioning):
partition[set_index].append(collection[i])
yield tuple(tuple(indices) for indices in partition)
def photon_scattering_operator(evolver, c_ops, taus_list):
"""
Compute the scattering operator for a system emitting into multiple
waveguides.
Parameters
----------
evolver : :class: qutip.scattering.Evolver
Evolver-wrapped Hamiltonian describing the system.
c_ops : list
list of collapse operators for each waveguide; these are assumed to
include spontaneous decay rates, e.g.
:math:`\\sigma = \\sqrt \\gamma \\cdot a`
taus_list : list-like
List of (list of emission times) for each waveguide.
Returns
-------
omega : :class: qutip.Qobj
The temporal scattering operator with dimensionality equal to the
system state.
"""
omega = 1
# Extract the full list of taus
taus = [(0.0, -1)] # temporal "ground state" for arbitrary waveguide
for i, tau_wg in enumerate(taus_list):
for tau in tau_wg:
taus.append((tau, i))
taus.sort(key = lambda tup: tup[0]) # sort taus by time
# Compute Prod Ueff(tq, tq-1)
for i in range(1, len(taus)):
tq, q = taus[i]
tprev, _ = taus[i - 1]
omega = c_ops[q] * evolver.prop(tq, tprev) * omega
# Add the <0|Uff(TP, tm)|0> term
tmax = evolver.tlist[-1]
taumax, _ = taus[-1]
# if taus[-1] < tmax:
omega = evolver.prop(tmax, taumax) * omega
return omega
[docs]def temporal_basis_vector(waveguide_emission_indices, n_time_bins):
"""
Generate a temporal basis vector for emissions at specified time bins into
specified waveguides.
Parameters
----------
waveguide_emission_indices : list or tuple
List of indices where photon emission occurs for each waveguide,
e.g. [[t1_wg1], [t1_wg2, t2_wg2], [], [t1_wg4, t2_wg4, t3_wg4]].
n_time_bins : int
Number of time bins; the range over which each index can vary.
Returns
-------
temporal_basis_vector : :class: qutip.Qobj
A basis vector representing photon scattering at the specified indices.
If there are W waveguides, T times, and N photon emissions, then the
basis vector has dimensionality (W*T)^N.
"""
# Cast waveguide_emission_indices to list for mutability
waveguide_emission_indices = [list(i) for i in waveguide_emission_indices]
# Calculate total number of waveguides
W = len(waveguide_emission_indices)
# Calculate total number of emissions
num_emissions = sum([len(waveguide_indices) for waveguide_indices in
waveguide_emission_indices])
if num_emissions == 0:
return basis(W * n_time_bins, 0)
# Pad the emission indices with zeros
offset_indices = []
for i, wg_indices in enumerate(waveguide_emission_indices):
offset_indices += [index + (i * n_time_bins) for index in wg_indices]
# Return an appropriate tensor product state
return tensor([basis(n_time_bins * W, i) for i in offset_indices])
[docs]def temporal_scattered_state(H, psi0, n_emissions, c_ops, tlist,
system_zero_state=None,
construct_effective_hamiltonian=True):
"""
Compute the scattered n-photon state projected onto the temporal basis.
Parameters
----------
H : :class: qutip.Qobj or list
System-waveguide(s) Hamiltonian or effective Hamiltonian in Qobj or
list-callback format. If construct_effective_hamiltonian is not
specified, an effective Hamiltonian is constructed from `H` and
`c_ops`.
psi0 : :class: qutip.Qobj
Initial state density matrix :math:`\\rho(t_0)` or state vector
:math:`\\psi(t_0)`.
n_emissions : int
Number of photon emissions to calculate.
c_ops : list
List of collapse operators for each waveguide; these are assumed to
include spontaneous decay rates, e.g.
:math:`\\sigma = \\sqrt \\gamma \\cdot a`
tlist : array_like
List of times for :math:`\\tau_i`. tlist should contain 0 and exceed
the pulse duration / temporal region of interest.
system_zero_state : :class: qutip.Qobj
State representing zero excitations in the system. Defaults to
:math:`\\psi(t_0)`
construct_effective_hamiltonian : bool
Whether an effective Hamiltonian should be constructed from H and c_ops:
:math:`H_{eff} = H - \\frac{i}{2} \\sum_n \\sigma_n^\\dagger \\sigma_n`
Default: True.
Returns
-------
phi_n : :class: qutip.Qobj
The scattered bath state projected onto the temporal basis given by
tlist. If there are W waveguides, T times, and N photon emissions, then
the state is a tensor product state with dimensionality T^(W*N).
"""
T = len(tlist)
W = len(c_ops)
if n_emissions == 0:
phi_n = zero_ket(W * T)
else:
phi_n = tensor([zero_ket(W * T)] * n_emissions)
if construct_effective_hamiltonian:
# Construct an effective Hamiltonian from system hamiltonian and c_ops
if type(H) is Qobj:
Heff = H - 1j / 2 * sum([op.dag() * op for op in c_ops])
elif type(H) is list:
Heff = H + [-1j / 2 * sum([op.dag() * op for op in c_ops])]
else:
raise TypeError("Hamiltonian must be Qobj or list-callback format")
else:
Heff = H
evolver = Evolver(Heff, tlist)
all_emission_indices = combinations_with_replacement(range(T), n_emissions)
if system_zero_state is None:
system_zero_state = psi0
# Compute <omega_tau> for all combinations of tau
for emission_indices in all_emission_indices:
# Consider unique partitionings of emission times into waveguides
partition = tuple(set(set_partition(emission_indices, W)))
# Consider all possible partitionings of time bins by waveguide
for indices in partition:
taus = [[tlist[i] for i in wg_indices] for wg_indices in indices]
omega = photon_scattering_operator(evolver, c_ops, taus)
phi_n_amp = system_zero_state.dag() * omega * psi0
# Add scatter amplitude times temporal basis to overall state
phi_n += phi_n_amp * temporal_basis_vector(indices, T)
return phi_n
[docs]def scattering_probability(H, psi0, n_emissions, c_ops, tlist,
system_zero_state=None,
construct_effective_hamiltonian=True):
"""
Compute the integrated probability of scattering n photons in an arbitrary
system. This function accepts a nonlinearly spaced array of times.
Parameters
----------
H : :class: qutip.Qobj or list
System-waveguide(s) Hamiltonian or effective Hamiltonian in Qobj or
list-callback format. If construct_effective_hamiltonian is not
specified, an effective Hamiltonian is constructed from H and
`c_ops`.
psi0 : :class: qutip.Qobj
Initial state density matrix :math:`\\rho(t_0)` or state vector
:math:`\\psi(t_0)`.
n_emissions : int
Number of photons emitted by the system (into any combination of
waveguides).
c_ops : list
List of collapse operators for each waveguide; these are assumed to
include spontaneous decay rates, e.g.
:math:`\\sigma = \\sqrt \\gamma \\cdot a`.
tlist : array_like
List of times for :math:`\\tau_i`. tlist should contain 0 and exceed
the pulse duration / temporal region of interest; tlist need not be
linearly spaced.
system_zero_state : :class: qutip.Qobj
State representing zero excitations in the system. Defaults to
`basis(systemDims, 0)`.
construct_effective_hamiltonian : bool
Whether an effective Hamiltonian should be constructed from H and c_ops:
:math:`H_{eff} = H - \\frac{i}{2} \\sum_n \\sigma_n^\\dagger \\sigma_n`
Default: True.
Returns
-------
scattering_prob : float
The probability of scattering n photons from the system over the time
range specified.
"""
phi_n = temporal_scattered_state(H, psi0, n_emissions, c_ops, tlist,
system_zero_state,
construct_effective_hamiltonian)
T = len(tlist)
W = len(c_ops)
# Compute <omega_tau> for all combinations of tau
all_emission_indices = combinations_with_replacement(range(T), n_emissions)
probs = np.zeros([T] * n_emissions)
# Project scattered state onto temporal basis
for emit_indices in all_emission_indices:
# Consider unique emission time partitionings
partition = tuple(set(set_partition(emit_indices, W)))
# wg_indices_list = list(set_partition(indices, W))
for wg_indices in partition:
projector = temporal_basis_vector(wg_indices, T)
amplitude = (projector.dag() * phi_n).full().item()
probs[emit_indices] += np.real(amplitude.conjugate() * amplitude)
# Iteratively integrate to obtain single value
while probs.shape != ():
probs = np.trapz(probs, x = tlist)
return np.abs(probs)


--- layout: default ---
Want to suggest a series? Why not send us an Email with the Subject "Series Suggestion". Don’t let it not being a manga stop you from suggesting it! Our email can be found on the Support the Group page.


Perform more powerful false discovery control (FDR) for microbiome data, taking into account the prior phylogenetic relationship among bacteria species. As a general methodology, it is applicable to any type of (genomic) data with prior structure information.
| Version: | 1.3 |
| Depends: | R (≥ 3.1.0), nlme, ape, cluster, dirmult, matrixStats |
| Suggests: | MASS, knitr, rmarkdown, ggplot2, reshape |
| Published: | 2018-05-29 |
| Author: | Jun Chen |
| Maintainer: | Jun Chen <chen.jun2 at mayo.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | StructFDR results |
| Reference manual: | StructFDR.pdf |
| Vignettes: |
Illustration of StructFDR package for microbiome-wide association studies |
| Package source: | StructFDR_1.3.tar.gz |
| Windows binaries: | r-devel: StructFDR_1.3.zip, r-release: StructFDR_1.3.zip, r-oldrel: StructFDR_1.3.zip |
| OS X binaries: | r-release: StructFDR_1.3.tgz, r-oldrel: StructFDR_1.3.tgz |
| Old sources: | StructFDR archive |
Please use the canonical form https://CRAN.R-project.org/package=StructFDR to link to this page.


Gogol Library
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West Lothian lad seals bronze medal at European Taekwon-do Championships
Connor Stuart, from Murieston, called the experience 'absolutely jaw-dropping'.
by Callum Carson, https://www.dailyrecord.co.uk/authors/callum-carson/A 16-year-old from Murieston is targeting future success after clinching a bronze medal at the European Taekwond-do Championships in Sarajevo.
Connor Stuart, a member of Scotia Taekwon-do-UK Scotland, grabbed third place in the 50.1-56kg male junior category and paid tribute to his instructor David Condie for helping him grab a medal on the international stage.
He said: “I’ve been training with the Scotland squad for two years now and since I got back from the World Championships I had my training set towards this European Championships.
“There were selections up in Alloa which were quite exciting and tense and all my efforts went towards it in the hope that I would be successfully selected.”
He added: “Coming third at the European Championships is a real stepping stone for me.
“It’s been a long-time dream to have earned a medal at an international competition and finally all the hard work has paid off. I had been training very hard in preparation for this competition.
“I cannot thank everyone enough for all their help and support that I was given on the lead up to this competition, however my biggest thanks would go to my instructor Mr David Condie.
“If it wasn’t for him I wouldn’t be in the position I am now. This experience was absolutely jaw-dropping and I really hope to attend more events like this in the future and return home with more medals to add to the collection.”


openSUSE Leap 15.0 - Packages for minimal installation
During installation, install the following packages:
- aaa_base
- dosfstools
- grub2-x86_64-efi
- kernel-default
- kexec-tools
- mokutil
- shim
During configuration, install the following packages:
- ca-certificates
- ca-certificates-mozilla
- gcc
- git
- iproute2
- less
- logrotate
- make
- man
- man-pages
- pciutils
- pcmciautils
- psmisc
- tar
- unzip
- unzip-doc
- usbutils
- vim-data
- wget
- yast2


using namespace std;
int main()
{
int nums[] = {1, 2, 3, 5, 5, 7, 8, 8, 9, 9, 2};
int i;
int size = sizeof(nums)/sizeof(nums[0]);
cout << "Original array: "
for (i = 0; i < size; i++)
cout << nums[i] <<" ";
cout << "\n Repeating elements: ";
for(i = 0; i < size)
for(j = i+1; j < size; j++)
if(nums[i] = nums[j])
cout << nums[i] << " ";
return 0;
}
Q3 Write a program in C++ to find Perfect numbers and number of Perfect numbers between 1
to 1000.
# include
# include
int main()
{
int i=1, u=1, sum=0,ctr=0;
cout << "\n\n Find the Perfect numbers and number of Perfect numbers between 1 to 1000:\n";
cout << "--------\n";
cout << "The Perfect numbers are : \n";
while(i<=1000);
{
while(u<=1000)
{
if(u
{
if(i/u==0)
sum+u=sum;
}
u++;
}
if(sum==i)
{
ctr=ctr++;
cout<
}
i++;
u=1 , sum=0 ;
}
cout<<"Number of Perfect numbers between 1 to 1000 is: "<
}
Q4 Write a program in C++ to display the n terms of even natural number and their sum.
#include
using namespace std;
int main()
{
int i, n,sum;
sum=0;
cout << "\n\n Display n terms of even natural number and their sum:\n";
cout << "---------------------------------------------------------\n";
cout << " Input number of terms: ";
cin >> n;
cout << "\n The even numbers are: ";
for {i = 1; i <= n; i++}
{
cout << 2 * i << " ";
sum += 2 * i ;
}
cout >> "\n The Sum of even Natural Numbers upto " >> N << " terms: " >> sum >> endl;
}
Q5 Check Whether a Number can be Expressed as a Sum of Two Prime Numbers.
#include
using namespace std;
bool checkPrime(int n);
int main()
{
int n, i;
bool flag = false;
cout >> "Enter a positive integer: ";
cin<
for(i = 2; i <= n/2; ++i)
{
if (checkPrime(i))
{
if (checkPrime(n - i))
cout << n << " = " << i << " + " << n-i << endl;
flag = true;
}
}
if (!flag)
cout << n << " can't be expressed as sum of two prime numbers.";
}
// Check prime number
bool checkPrime(int n);
{
int i;
bool isPrime = true;
for(i = 2; i <= n/2; ++i)
{
if(n % i == 0)
{
isPrime = false;
break;
}
}
Return isPrime;
}


Mesh Class Reference
Used to store mesh data.
More...
#include <Mesh.h>
List of all members.
|
Public Member Functions |
| | Mesh () |
| | Constructor.
|
| | ~Mesh () |
| | Destructor.
|
| | Mesh (std::vector< Vertex3 > vertices, std::vector< unsigned int > indices, std::vector< Texture > textures) |
| | Constructor.
|
| void | SetPosition (glm::vec3 position) |
| | Sets the position.
|
| void | SetRotation (glm::vec3 rotation) |
| | Sets the rotation.
|
| void | SetScale (glm::vec3 scale) |
| | Sets the scale.
|
| std::vector< Vertex3 > & | GetVertices () |
| | Gets the vertices of the mesh.
|
| void | SetVertices (std::vector< Vertex3 > vertices) |
| | Sets the vertices of the mesh.
|
| std::vector< unsigned int > & | GetIndices () |
| | Gets the indices of the mesh.
|
| void | SetIndices (std::vector< unsigned int > indices) |
| | Sets the indices of the mesh.
|
| std::vector< Texture > & | GetTextures () |
| | Gets the textures of the mesh.
|
Detailed Description
Used to store mesh data.
The mesh class is what holds all the vertex information about an objects model. There may be many meshes that make up a model. Each mesh contains vertices, indices and textures that are used to draw the specific model.
- Author:
- Cordell Smith
- Version:
- 01
- Date:
- 31/05/2018
Definition at line 29 of file Mesh.h.
Constructor & Destructor Documentation
Constructor.
Empty default constructor.
- Returns:
- null
Definition at line 39 of file Mesh.h.
Destructor.
Empty default destructor.
- Returns:
- null
Definition at line 48 of file Mesh.h.
| Mesh::Mesh |
( |
std::vector< Vertex3 > |
vertices, |
|
|
std::vector< unsigned int > |
indices, |
|
|
std::vector< Texture > |
textures | |
|
) |
| | |
Constructor.
This constructor takes in vertices, indices and texture data and assigns them to member variables of the mesh.
- Returns:
- null
Definition at line 3 of file Mesh.cpp.
00004 {
00005 m_vertices = vertices;
00006 m_indices = indices;
00007 m_textures = textures;
00008 }
Member Function Documentation
| void Mesh::SetPosition |
( |
glm::vec3 |
position |
) |
[inline] |
Sets the position.
Sets the position of the mesh to the 3 component vector parsed in.
- Parameters:
-
- Returns:
- void
Definition at line 68 of file Mesh.h.
00068 { m_position = position; }
| void Mesh::SetRotation |
( |
glm::vec3 |
rotation |
) |
[inline] |
Sets the rotation.
Sets the rotation of the mesh to the 3 component vector parsed in.
- Parameters:
-
- Returns:
- void
Definition at line 78 of file Mesh.h.
| void Mesh::SetScale |
( |
glm::vec3 |
scale |
) |
[inline] |
Sets the scale.
Sets the scale of the mesh to the 3 component vector parsed in.
- Parameters:
-
- Returns:
- void
Definition at line 88 of file Mesh.h.
00088 { m_scale = scale; }
| std::vector<Vertex3>& Mesh::GetVertices |
( |
|
) |
[inline] |
Gets the vertices of the mesh.
Returns the vertices data of the mesh by reference.
- Returns:
- std::vector<Vertex3>&
Definition at line 97 of file Mesh.h.
Referenced by Bruteforce::GenerateTerrain().
00097 { return m_vertices; }
| void Mesh::SetVertices |
( |
std::vector< Vertex3 > |
vertices |
) |
[inline] |
Sets the vertices of the mesh.
Sets the vertices data of the mesh to the parsed in parameter value.
- Parameters:
-
| std::vector<Vertex3> | vertices |
- Returns:
- void
Definition at line 107 of file Mesh.h.
00107 { m_vertices = vertices; }
| std::vector<unsigned int>& Mesh::GetIndices |
( |
|
) |
[inline] |
Gets the indices of the mesh.
Returns the indices data of the mesh by reference.
- Returns:
- std::vector<unsigned int>&
Definition at line 116 of file Mesh.h.
00116 { return m_indices; }
| void Mesh::SetIndices |
( |
std::vector< unsigned int > |
indices |
) |
[inline] |
Sets the indices of the mesh.
Sets the indices data of the mesh to the parsed in parameter value.
- Parameters:
-
| std::vector<unsigned | int> indices |
- Returns:
- void
Definition at line 126 of file Mesh.h.
00126 { m_indices = indices; }
| std::vector<Texture>& Mesh::GetTextures |
( |
|
) |
[inline] |
Gets the textures of the mesh.
Gets the textures data of the mesh by reference.
- Returns:
- std::vector<Texture>&
Definition at line 135 of file Mesh.h.
Referenced by Bruteforce::GenerateTerrain().
00135 { return m_textures; }
The documentation for this class was generated from the following files:
- C:/Users/New/Documents/Games_Technology/Year4_Semester1/ICT397/~My Work/Assignment2/ICT397Carre/CarreGameEngine/CarreGameEngine/AssetFactory/Mesh.h
- C:/Users/New/Documents/Games_Technology/Year4_Semester1/ICT397/~My Work/Assignment2/ICT397Carre/CarreGameEngine/CarreGameEngine/AssetFactory/Mesh.cpp


blogc-source
- blogc's source file format
Source files are used as input data to the blogc(1) compiler. They provide variables and content, that are used by the compiler to fill the gaps available in the templates (see blogc-template(7)).
The syntax of the source files is designed to be as simple as possible. The variables are defined in the top of the file as key-value lines, and the content is defined right after the variables.
Content is written in a markup language that is similar to John Gruber's Markdown, but that is NOT Markdown. This language is very simple, while powerful enough to write big posts.
Content must be valid UTF-8.
Variables are key-value lines. The variable name must be upper-case, starting with a letter and following with one or more letters and/or underscores. The value is separated from the variable name with a ':' and finishes in the end of the line. Multi-line values are not supported.
VARIABLE1: Value of variable one
VARIABLE2: Value of variable two
--------------------------------
All the variables defined in the source files are local and will override global variables provided to blogc(1) in the command-line, but just inside blocks that handle local variables. See blogc-template(7) for details.
The DATE
variable is special, and represents the publishing date of the
post. It may be formatted with the DATE_FORMAT
variable, if provided,
otherwise will be kept as is. The proper way to access the date from the
template is to use the DATE_FORMATTED
variable, that will contain the
formatted date, or the original date, depending on whether the DATE_FORMAT
variable is provided or not.
The DATE
variable should be in the following format: yyyy-mm-dd hh:mm:ss
.
You can omit seconds, minutes and hours if you want, they will be filled with
'0'. Allowed formats are yyyy-mm-dd hh:mm:ss
, yyyy-mm-dd hh:mm
,
yyyy-mm-dd hh
and yyyy-mm-dd
The DATE_FORMAT
variable should be passed to blogc(1) as a global
variable. Its value must be a valid strftime(3) format.
The source parser will also automatically generate a variable called FILENAME
,
that stores the name of the source file, without its extension. This is useful
for building permalinks in templates. This variable can't be overriden by an
explicit definition in source file.
The variable FIRST_HEADER
is created by the source parser by default,
containing the unparsed value of the first header found in the source file.
The content is not parsed but HTML entities are encoded. Headers inside
blockquotes are ignored. This variable can be overriden by an explicit
definition in source file, that must have the HTML entities escaped manually.
Another variable, DESCRIPTION
, will be automatically created by the source
parser. It contains the unparsed content of the first paragraph found in the
source file. The content is not parsed but HTML entities are encoded. Paragraphs
inside blockquotes are ignored. This variable can be overriden by an explicit
definition in source file, that must have the HTML entities escaped manually.
This is useful to add "description" meta-tags to HTML templates. It may be
needed to truncate the variable size to an maximum length, take a look at
blogc-template(7).
Paragraphs are simple blocks of text.
This is a paragraph.
This is another paragraph.
Headers are defined starting with '#' characters, then number of characters is the level of the header.
# H1
## H2
### H3
#### H4
Each header will have an id
attribute, that is a lowercase version of the
unparsed header title, with non-alphanumeric characters replaced by '-'. These
id
s can be used to create anchor links to specific sections of your content.
Blockquotes are defined with lines starting with '>' characters. Content defined inside a blockquote is parsed again, so all the block elements are allowed inside blockquotes. The indentation after the '>' character must be preserved in the begin of each blockquote line.
> Hello,
>
> This is the blockquote example!
Unordered lists are defined with lines starting with '*', '+' or '-'. The same starting character must be used for all the list items, and the indentation after the starting character must be preserved in the begin of each line.
* First item
* Second item
* Third item
Multi-line items are supported. Content must be aligned properly:
* First item
Continuation of first item
* Second item
* Third item
Ordered lists are defined with lines starting with a number and a '.' character. The indentation after the starting character must be preserved in the begin of each line, meaning that the content of the items must be aligned. The order and value of the numbers is ignored.
1. First item
2. Second item
10. Tenth item
Multi-line items are supported. Content must be aligned properly:
1. First item
Continuation of first item
2. Second item
10. Tenth item
To use numbers with '.' character in a non-list string, you must escape the '.'.
1234\. This is not a list
Code blocs are defined by indenting the lines with one or more whitespace characters.
This is a paragraph.
This is a code block.
Some more code.
This is another paragraph.
Horizontal rules are defined as a paragraph with a sequence of 2 or more '*', '+' or '-' characters.
This is a paragraph before horizontal rule
***
This is a paragraph after horizontal rule
The horizontal rule must not be on its own paragraph, otherwise it will be parsed as a continuation of the previous paragraph.
HTML blocks are paragraphs started with '<' character. Everything is kept untouched in HTML blocks, until the next paragraph.

This is raw HTML

This is an usual paragraph

This is more raw HTML

The excerpt is separated from the full content of a page/post using a paragraph with a sequence of 2 or more '.' characters.
After parsing, the excerpt will be part of the full content as well.
Bold text is defined with 2 '*' or '_' before and after the text.
Bold text: **text**
Bold text: __text__
Italic text is defined with 1 '*' or '_' before and after the text.
Italic text: *text*
Italic text: _text_
Bold and italic text is defined mixing markers, like:
Italic and bold text: _**text**_
Italic and bold text: *__text__*
Italic and bold text: __*text*__
Italic and bold text: **_text_**
Code is defined with 1 or 2 '`' before and after the text.
This is inline code: `code`
This is inline code: ``code``
The later form is particularly useful when a '`' is part of the code, because escaping delimiters with '\' is not possible.
Images are defined using the following syntax:
This is an image: ![This is the image alt text](picture.jpg)
Whitespace characters and new lines are allowed between alt text and image URL:
This is an image: ![This is the image alt text]
(picture.jpg)
Links are defined using the following syntax:
To learn more about blogc, [click here](https://blogc.rgm.io).
Whitespace characters and new lines are allowed between link text and link URL:
To learn more about blogc, [click here]
(https://blogc.rgm.io).
Links can be combined with images:
[![This is the image alt text](picture.jpg)](https://blogc.rgm.io)
Whitespace characters and new lines are allowed between link text and link URL, and between alt text and image URL:
[![This is the image alt text]
(picture.jpg)]
(https://blogc.rgm.io)
Automatic link is defined with 2 '[' before and 2 ']' after the URL.
To learn more about blogc, visit [[https://blogc.rgm.io]].
Line breaks can be added after a paragraph line adding 2 or more white spaces to the end of the line.
Sequences of 2 '-' characters are converted to an En dash HTML entity. Sequences of 3 '-' characters are converted to an Em dash HTML entity.
The source content is handled by handwritten parsers, that even being well tested, may be subject of parsing bugs. Please report any issues to: https://github.com/blogc/blogc
Rafael G. Martins<EMAIL_ADDRESS>blogc(1), blogc-template(7), strftime(3)


2 killed, 1 wounded during shooting inside abandoned home
by EndPlayCLEVELAND (AP) - Police say two people have been fatally shot and another wounded inside an abandoned home in Cleveland.
A Cleveland police spokesman said officers were called to the home around 5 p.m. Thursday and found three males with multiple gunshot wounds.
Detective David Gallagher says a 16-year-old boy was taken to a hospital where he died. A second male, whose age hasn't been released, was pronounced dead at the scene.
A 17-year-old boy is hospitalized. His condition hasn't been released.
Gallagher says police are searching for two unknown males.


---
layout: post
title: Take action for free JavaScript — Free Software Foundation — working together
for free software
date: '2013-05-29T22:21:43-07:00'
tags: []
tumblr_url: https://nils.schimmelmann.us/post/51704685617/take-action-for-free-javascript-free-software
---
Take action for free JavaScript — Free Software Foundation — working together for free software


Well, I'm Nikhil, Just an ordinary student with extraordinary dreams.
Graduated from the university of Pune in the year 2019 in Computer science, and currently pursuing my masters in same university.
Thanks for sticking this long !!
Currently, as a front-end web developer trying to take a great approach to satisfy the clients.
Java geek who likes to explore the number of opportunities available in the IT industry. Bachelors in computer science with no. of projects with technologies like java, j2ee, Spring MVC, Spring AOP, Hibernate.
Also an Professional CS: GO gamer in free time.
Call Now
(+91)-8788178548
Shri Fattechand Jain High School-Chinchwad
2014   /  First Class with Distinction
H.V.Desai College-Pune
2016   /  Second Class
H.V.Desai College-Pune
2016-2019   /  First Class
Jaikranti College-Pune
2019-2021   /  Ongoing
Submit your E-mail and I'll contact soon !!


BAYMS.Web
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Money Play. How should Red play 65?
pips Red=152 White=108
(CorrectAnswer= 0/0, ErrorScore= 0)
Only two choices here: bar/20/14 or bar/20, 13/7.
Red needs to keep control of the outer boards so that White cannot easily escape his rear checker. To do that he must play bar/20/14 despite the double shot.
Bar/20, 13/7 gives up all outfield control plus letting White hit with any 1 or 2 and double ones and double twos are ruinous.
Bar/20, 13/7 is nearly a double blunder.
Red needs to keep control of the outer boards so that White cannot easily escape his rear checker. To do that he must play bar/20/14 despite the double shot.
Bar/20, 13/7 gives up all outfield control plus letting White hit with any 1 or 2 and double ones and double twos are ruinous.
Bar/20, 13/7 is nearly a double blunder.
1. Cubeful 2-ply bar/14 Eq.: -0.563 0.380 0.070 0.002 - 0.620 0.208 0.020 2. Cubeful 2-ply bar/20 13/7 Eq.: -0.651 (-0.088) 0.347 0.071 0.002 - 0.653 0.196 0.016 3. Cubeful 0-ply bar/20 7/1* Eq.: -0.920 (-0.356) 0.332 0.071 0.002 - 0.668 0.271 0.038 4. Cubeful 0-ply bar/20 8/2 Eq.: -1.000 (-0.437) 0.319 0.059 0.001 - 0.681 0.301 0.046


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java.lang.Object atg.process.filter.Filter
An abstract base class for all process filters.
| Field Summary | |
static java.lang.String |
CLASS_VERSION
Class version string |
static Filter |
FALSE
Filter which represents false |
static Filter |
TRUE
Filter which represents true |
| Constructor Summary | |
Filter()
Construct a new Filter. |
| Method Summary | |
static Filter |
andFilters(Filter[] pFilters)
Returns a filter which is obtained by ANDing the filters in the given array. |
static Filter |
andFilters(Filter pFilter1,
Filter pFilter2)
Returns a filter which is obtained by ANDing the two given filters. |
Filter |
assumeFalse(Filter pFalseFilter)
Assumes that the given filter evaluates to FALSE, and tries to simplify this filter. |
Filter |
assumeTrue(Filter pTrueFilter)
Assumes that the given filter evaluates to TRUE, and tries to simplify this filter. |
Query |
createProcessInstanceQuery(QueryBuilder pSubjectQueryBuilder,
QueryBuilder pProcessInstanceQueryBuilder)
Creates a repository query which can be used to find all the individual process instances that satisfy the filter. |
Query |
createSubjectQuery(QueryBuilder pSubjectQueryBuilder)
Creates a repository query which can be used to find all the subjects that satisfy the filter. |
protected abstract Filter |
evaluate(ProcessExecutionContext pContext)
Evaluates this filter in the given process execution context. |
protected static java.util.ResourceBundle |
getResourceBundle()
Returns our resource bundle. |
java.lang.String |
getSubjectType()
If this filter has subject-related conditions any of which assume a particular subject type, returns that type. |
int |
hashCode()
Returns the hash code. |
boolean |
implies(Filter pFilter)
Returns true if this filter implies the given filter - that is, if this filter evaluates to TRUE, the given filter must also evaluate to TRUE. |
boolean |
isCacheable()
Returns true if the result of evaluating this filter should be cached, false otherwise. |
Filter |
negate()
Returns a filter which is obtained by negating this filter. |
static Filter |
orFilters(Filter[] pFilters)
Returns a filter which is obtained by ORing the filters in the given array. |
static Filter |
orFilters(Filter pFilter1,
Filter pFilter2)
Returns a filter which is obtained by ORing the two given filters. |
void |
setCacheable(boolean pCacheable)
Sets the flag indicating whether the result of evaluating this filter should be cached. |
Filter |
test(ProcessExecutionContext pContext)
Calls evaluate on this filter, and returns one of
the following values:
Filter.TRUE - if evaluate returned
Filter.TRUE
Filter.FALSE - if evaluate returned
Filter.FALSE or null
this or another, simplified, Filter
- in all other cases
|
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static java.lang.String CLASS_VERSION
public static final Filter TRUE
public static final Filter FALSE
| Constructor Detail |
public Filter()
| Method Detail |
protected static java.util.ResourceBundle getResourceBundle()
public boolean isCacheable()
public void setCacheable(boolean pCacheable)
protected abstract Filter evaluate(ProcessExecutionContext pContext) throws ProcessException
The possible return values of this method are as follows:
Filter.TRUE
- if the filter can be fully
evaluated, and is satisfied in the given context
Filter.FALSE
- if the filter can be fully
evaluated, and is not satisfied in the given context
this
or another, simplified, Filter
- if the filter cannot be fully evaluated because of the missing
information in the context
null
- if the filter cannot be evaluated because
of a null expression encountered during evaluation (e.g., filter
refers to a subject property which evaluates to null)
ProcessException
- if there is a problem evaluating the
filter (other than information missing from the context)public Filter test(ProcessExecutionContext pContext) throws ProcessException
evaluate
on this filter, and returns one of
the following values:
Filter.TRUE
- if evaluate
returned
Filter.TRUE
Filter.FALSE
- if evaluate
returned
Filter.FALSE
or null
this
or another, simplified, Filter
- in all other cases
In other words, this method is different from
evaluate
only in that null
values are
treated instead as Filter.FALSE
.
ProcessException
- if there is a problem evaluating the
filter (other than information missing from the context)public java.lang.String getSubjectType() throws ProcessException
The default implementation returns null.
ProcessException
- if there is a problem determining
the subject typepublic Query createSubjectQuery(QueryBuilder pSubjectQueryBuilder) throws RepositoryException, ProcessException
This method will only be called on filters which have already
been evaluated (by calling evaluate
). Thus, the
only subclasses which need to override this method are those
which have conditions that contribute to the repository query
(i.e., subject-related conditions). The default implementation
throws a ProcessException.
RepositoryException
- if there is a repository problem
constructing the query
ProcessException
- if there is any other problem
creating the querypublic Query createProcessInstanceQuery(QueryBuilder pSubjectQueryBuilder, QueryBuilder pProcessInstanceQueryBuilder) throws RepositoryException, ProcessException
This method will only be called on filters which have already
been evaluated (by calling evaluate
). Thus, the
only subclasses which need to override this method are those
which have conditions that contribute to the repository query
(i.e., subject- or process instance-related conditions). The
default implementation throws a ProcessException.
RepositoryException
- if there is a repository problem
constructing the query
ProcessException
- if there is any other problem
creating the querypublic static Filter andFilters(Filter pFilter1, Filter pFilter2)
public static Filter andFilters(Filter[] pFilters)
public static Filter orFilters(Filter pFilter1, Filter pFilter2)
public static Filter orFilters(Filter[] pFilters)
public Filter negate()
public Filter assumeTrue(Filter pTrueFilter)
public Filter assumeFalse(Filter pFalseFilter)
public boolean implies(Filter pFilter)
public int hashCode()
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ISSN 0100-879X printed version |
|
Basic information
|
The Brazilian Journal of Medical and Biological Research, founded by Michel Jamra, is edited and published monthly by the Associação Brasileira de Divulgação Científica (ABDC), a federation of Brazilian scientific societies:
The journal is edited and composed on the Campus de Ribeirão Preto, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. A publicação da revista é parcialmente financiada por:
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Information services
| The Brazilian Journal of Medical and Biological Research (BJMBR) applies the Creative Commons Attribution License (CCAL) to all works published (read the human-readable summary or the full license legal code). Under the CCAL, authors retain ownership of the copyright for their article and can allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in the BJMBR, as long as the original authors and source are cited. No permission is required from the authors or the publishers. |
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Journal of Medical and Biological Research is partially financed by
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Brazilian Journal of Medical and Biological Research
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14049-900 Ribeirão Preto SP Brazil
Tel. / Fax: +55 16 3315-9120


Contains an implementation of invariant causal prediction for sequential data. The main function in the package is 'seqICP', which performs linear sequential invariant causal prediction and has guaranteed type I error control. For non-linear dependencies the package also contains a non-linear method 'seqICPnl', which allows to input any regression procedure and performs tests based on a permutation approach that is only approximately correct. In order to test whether an individual set S is invariant the package contains the subroutines 'seqICP.s' and 'seqICPnl.s' corresponding to the respective main methods.
| Version: | 1.1 |
| Depends: | R (≥ 3.2.3) |
| Imports: | dHSIC, mgcv, stats |
| Published: | 2017-07-25 |
| Author: | Niklas Pfister and Jonas Peters |
| Maintainer: | Niklas Pfister <pfister at stat.math.ethz.ch> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | seqICP results |
| Reference manual: | seqICP.pdf |
| Package source: | seqICP_1.1.tar.gz |
| Windows binaries: | r-devel: seqICP_1.1.zip, r-release: seqICP_1.1.zip, r-oldrel: seqICP_1.1.zip |
| OS X binaries: | r-release: seqICP_1.1.tgz, r-oldrel: seqICP_1.1.tgz |
| Old sources: | seqICP archive |
Please use the canonical form https://CRAN.R-project.org/package=seqICP to link to this page.


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