--- layout: default title: 404ed ---
How embarrassing.
Let us know what's up and we can make it right.


I usually write my things and problems a lot, not just because of coding problems. It's something I practice on a daily basis, so yes, I like pseudocoding, I feel good about this.
Also trying something is a good method, if we think what we are trying. trying in a infinite loop without a reason or a propper think can be bad.
Sounds interesting, but I haven’t tried yet. Not sure if its for me at the moment.
Definetly super important technique to have in coding world. So we all should work hard in this one everyday.
Keen to start to practice this technique often. Would like to have it in my daily habits.
Probably the most used for most of the people in todays world? most of the answers are there, but not always is easy what or how to find out some answers or concepts.
Yes, if have no option or im stuck, I dint mind to share my issues, also posting stuff in slack, etc.
Pretty much same answer
Reflect in our things can show us or give us some idea about our own strengths and weakness. What do we need to improve, and related to a specific problem, can be similar to the rubber duck method. I do reflect a lot, but I don’t use the duck method. Interesting....


Hey, ever think about all the wonderful business ideas people around the world come up with? Want to create your own? We have just the thing for you! Propose an idea. Form strategies. Enhance them and change perceptions!
Venue : Maharaja Agrasen Institute Of Technology
Date and Time : 1 April 09:00 AM
Registration Deadline : 25 March 11:59 PM
This event will comprise of two rounds , details of each round are given below.
In the prelim round a problem statement will be issued. Each team needs to come up with a solution. The solution should be submitted in PDF format only. Teams that come up with the most efficient solutions would be shortlisted. Only the shortlisted teams would further go through to the final round. Teams are limited to a maximum of 3 participants each. The PDF to be submitted must follow the following format.
The PDF should contain 3 pages.
Page 1 should have the TEAM’S NAME and the details of all the MEMBERS.
Page 2 should contain the solution to the problem
Page 3 should include the future scope and any other relevant details or information.
Shortlisted teams from the prelim round will be invited to present their idea on the day of the event at a specified location that would be provided to the selected teams beforehand. On the day of the event, all shortlisted teams need to deliver a presentation, elaborating their ideas. The presentation should include different aspects and should also demonstrate how the proposed idea enhances the existing strategy. The use of graphical and statistical data is necessary.
• The evaluation method to assign a score to each team will be disclosed at the time of the main event.
• Final presentation should include the elaboration of the current situation along with the explanation as to how the proposed idea will improve the existing situation.
Teams can only have three members each.
All the details regarding the submission of the solution for the prelim round would be provided to the teams that take part. Only PDF format would be accepted
Yes, use of statistical and graphical data is necessary.


Why did Atalanta and Juventus players have red marks on their face?
by BeSoccerItaly are showing support against domestic violence. Serie A wanted to show their support to all the women who suffer or who have suffered this type of violence. In the Atalanta v Juventus game, the players and the referee had a red mark across their face to raise awareness.
The campaign is called "Show violence the red card." Therefore, the 11 Atalanta players as well as the Juventus ones went out with a mark on their face.
This initiative is promoted by Serie A. They want to raise awareness and end domestic violence once and for all.
Featured links
- Neymar or Mbappé? Zidane choose
- The latest football transfers news and rumours
- What Cristiano said about Messi to his Man Utd teammates
- Kante explains why he turned down PSG
The image will be repeated across all games played in Italy throughout the week. "Serie A supports 'WeWorldOnlus', an organisation which, for 20 years, defends the rights of women and children in danger both in Italy and in the world. The objective is to combat all types of injustice towards women," Serie A published in a statement.
Domestic violence is a real problem. In Italy they want to raise awareness and show support for women who suffer domestic violence. For this reason, the players went onto the pitch in Bergamo for the Atalanta-Juventus match with a red mark across their face.


1: Run Domain with AltDNS
2: Run MassDNS (includes ct.py (queries crt.sh))
3. Run Knock
4. Run Sublist3r (subbrute supposedly integrated)


Collect Your To-Watch List On This Page.
Click User To View Your Shared Titles
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Katherine Hanson
Katherine Pryszlak
Anthony Robinson


show_atoms - List all the atoms of the module.
show_atoms [-h
This command lists all the atoms of the given module.
Command Options:
-h
Prints usage.
Last updated on 1031104 18h39


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Fettuccine Alfredo with Mushrooms
Fettuccine alfredo with mushrooms brings a mix of cheesy, creamy and earthy flavors together.
It's a restaurant-worthy dish you can totally make at home.
If you’re a beginner cook, or even an intermediate one, it may not cross your mind to try making alfredo sauce
from scratch. For me, it seemed just a tiny bit out of reach for years. Then one day, I gave it a try and quickly
found myself saying, “Oh. That was really easy.”
Alfredo is one of the most underrated sauces—it’s made with just a few pantry staples, it’s always satisfying, and
it’s surprisingly easy to make at home.
Every home cook should have a recipe at the ready for quick weeknight dinners. It’s certainly not just for
restaurant dining!
ingredients
- 8 ounces baby cremini mushrooms, sliced
- 1/4 cup butter
- 1/2 teaspoon salt
Instructions
1. Cook the mushrooms: Melt the butter in a deep sauté pan over medium heat. Add the mushrooms and cook for 6 to 8 minutes until they have released their liquid and become tender. Season with salt and pepper (give one a taste!).2. Add the flour: Add the flour to the pot and stir it in to coat the mushrooms. The flour will form a paste on the mushrooms and the pan will look quite dry. Cook for a minute and turn heat down to low.
3. Make the sauce: Slowly add the milk while stirring; the flour will dissolve in the milk. If any lumps of flour form, break them up against the side of the pan with the back of your spoon. Simmer for 1 to 2 minutes until the sauce has thickened slightly, and then add Parmesan cheese.
Lower the heat, cover, and keep warm until ready to serve, up to 10 minutes. If the sauce thickens too much before you’re ready to serve, add a splash of milk to thin it out again.


| action
name |
tagNamesFromOnoma |
| resources
required |
onomasticon (name dictionary)
|
| properties |
Onoma.fileName |
| annotations
required |
token |
| annotations
added |
ENAMEX |
Jet provides two meams of tagging names: a statistical name model, implemented as an
HMM or MEMM, and a name dictionary, formally called an onomasticon. Each line in the
onomasticon defines a single name and should consist of one or more tokens separated by spaces,
a tab character, and a name type; a second tab and an entitiy subtype are optional.
For example, the line
New York (tab) GPE
defines "New York" as a geo-political entity name; the line
New York (tab) GPE (tab) Population-Center
further specifies it as being of subtype Population-Ceenter.
Matches must be exact, including case.
In case of ambiguity, the longest match is preferred. Nested matches are not recognized;
after a name is matched, the matcher advances to the first token following the matched name.
It is possible to use both a name dictionary and a statistical name tagger. In this
case the statistical tagger is applied first, followed by the onoma tagger:
processSentence = ..., tagNames, tagNamesFromOnoma, ...
A token sequence in the text which matches an onoma entry will be tagged by the onoma
tagger unless some name tagged by the statistical tagger is partially but not
wholely contained in the sequence. In particular this means that if a sequence
X Y Z has been tagged by the statistical tagger, shorter sequences such as Y
Z or partially overlapping seqences such as W X will not be retagged by the
onoma tagger.


Good morning, FIRSTNAME
It was great to see you yesterday! It's too bad you didn't have time to cook anything, but that's fine. The important thing is that you were there. Getting to know your colleagues is important for both team-building and job satisfaction!
As for now, you should sign up for the onboarding event tomorrow morning. This is a great opportunity to meet the other recent employees and learn about the history of the company! You don't need to bring anything but a cheerful mood and a sunny disposition :).
Benedetto Tornincasa
Human Relations
Senior Consultant / Haka Leader


| Package | Description |
|---|---|
| org.apache.commons.math3.complex |
Complex number type and implementations of complex transcendental
functions.
|
| org.apache.commons.math3.exception |
Specialized exceptions for algorithms errors.
|
| org.apache.commons.math3.fraction |
Fraction number type and fraction number formatting.
|
| org.apache.commons.math3.geometry.euclidean.threed |
This package provides basic 3D geometry components.
|
| org.apache.commons.math3.ode |
This package provides classes to solve Ordinary Differential Equations problems.
|
| org.apache.commons.math3.ode.nonstiff |
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
|
| org.apache.commons.math3.optimization.linear |
This package provides optimization algorithms for linear constrained problems.
|
| org.apache.commons.math3.random |
Random number and random data generators.
|
| Modifier and Type | Method and Description |
|---|---|
double |
RootsOfUnity.getImaginary(int k)
Get the imaginary part of the
k -th n -th root of unity. |
double |
RootsOfUnity.getReal(int k)
Get the real part of the
k -th n -th root of unity. |
boolean |
RootsOfUnity.isCounterClockWise()
|
| Modifier and Type | Class and Description |
|---|---|
class |
ConvergenceException
Error thrown when a numerical computation can not be performed because the
numerical result failed to converge to a finite value.
|
class |
MathInternalError
Exception triggered when something that shouldn't happen does happen.
|
class |
MathParseException
Class to signal parse failures.
|
class |
MaxCountExceededException
Exception to be thrown when some counter maximum value is exceeded.
|
class |
TooManyEvaluationsException
Exception to be thrown when the maximal number of evaluations is exceeded.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FractionConversionException
Error thrown when a double value cannot be converted to a fraction
in the allowed number of iterations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CardanEulerSingularityException
This class represents exceptions thrown while extractiong Cardan
or Euler angles from a rotation.
|
| Modifier and Type | Method and Description |
|---|---|
protected double |
AbstractIntegrator.acceptStep(AbstractStepInterpolator interpolator,
double[] y,
double[] yDot,
double tEnd)
Accept a step, triggering events and step handlers.
|
abstract void |
AbstractIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
double |
FirstOrderIntegrator.integrate(FirstOrderDifferentialEquations equations,
double t0,
double[] y0,
double t,
double[] y)
Integrate the differential equations up to the given time.
|
double |
AbstractIntegrator.integrate(FirstOrderDifferentialEquations equations,
double t0,
double[] y0,
double t,
double[] y)
Integrate the differential equations up to the given time.
|
void |
SecondOrderIntegrator.integrate(SecondOrderDifferentialEquations equations,
double t0,
double[] y0,
double[] yDot0,
double t,
double[] y,
double[] yDot)
Integrate the differential equations up to the given time
|
protected void |
MultistepIntegrator.start(double t0,
double[] y0,
double t)
Start the integration.
|
| Modifier and Type | Method and Description |
|---|---|
abstract void |
AdamsIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
void |
EmbeddedRungeKuttaIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
void |
AdamsBashforthIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
void |
RungeKuttaIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
void |
AdamsMoultonIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
void |
GraggBulirschStoerIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
abstract void |
AdaptiveStepsizeIntegrator.integrate(ExpandableStatefulODE equations,
double t)
Integrate a set of differential equations up to the given time.
|
| Modifier and Type | Class and Description |
|---|---|
class |
NoFeasibleSolutionException
This class represents exceptions thrown by optimizers when no solution
fulfills the constraints.
|
class |
UnboundedSolutionException
This class represents exceptions thrown by optimizers when a solution
escapes to infinity.
|
| Modifier and Type | Method and Description |
|---|---|
protected abstract PointValuePair |
AbstractLinearOptimizer.doOptimize()
Perform the bulk of optimization algorithm.
|
PointValuePair |
AbstractLinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Optimizes an objective function.
|
PointValuePair |
LinearOptimizer.optimize(LinearObjectiveFunction f,
Collection<LinearConstraint> constraints,
GoalType goalType,
boolean restrictToNonNegative)
Optimizes an objective function.
|
| Modifier and Type | Method and Description |
|---|---|
double |
EmpiricalDistribution.getNextValue()
Generates a random value from this distribution.
|
Copyright © 2003-2012 The Apache Software Foundation. All Rights Reserved.


Welcome to sOS! We make softwares and hardwares (and maybe just-rightwares!). Our best-selling free device is sCom.
Type in your email to email us (or not)!


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s,h when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
Drag the sign icon below to the spot you would like to get a signature
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3/31 email
Dear CSI Students:
I hope you and your families are safe as we all manage the new realities caused by the Coronavirus pandemic. I understand there is enormous uncertainty at this time and I recognize the anxiety this has caused many of you.
To help address your concerns, I invite you to join me in a virtual Student Town Hall where you will have an opportunity to ask me questions. This Student Town Hall will be held on Wednesday, April 1, 2020 at 3:00 p.m. Instructions for joining are at the bottom of this email. This is the first of a few events that we are planning throughout the spring semester to help you succeed.
Student Town Hall Meeting Rules:
Participant questions should pertain to their experiences with the College since in-person instruction ended on March 11, 2020. All participants will be muted upon entering the town hall. All questions should be typed in the chat. Chat discussion and questions will only be viewable by the host(s). Questions will be answered in the order they are received. Dependent on time not all questions may be answered. This town hall will be recorded. This is a Double CLUE ( 1PG and 1CC). If you want credit for the CLUE, please include your emplid in the chat question (you can do this even if you don’t have a question.)
Log-in Information: Wednesday, Apr 1, 2020 3:00-4:30 p.m. https://connectcuny.webex.com/connectcuny/j.php?MTID=m5aafd1412b4d3dcb2ef73dbc5efd1068 Meeting number: 799 783 777 Password: ZXdBS6vyB66
Join by phone: +1-408-418-9388 United States Toll 1-844-992-4726 United States Toll Free Access code: 799 783 777
I look forward to spending time with you tomorrow, Wednesday, April 1, 2020 at 3:00 p.m.
Best regards,
Jennifer S. Borrero Vice President for Student Affairs and Alumni Engagement


{% extends 'base.html' %} {% load crispy_forms_tags %} {% load i18n %} {% block title %}{{ website.acro }} | {% translate "Signup request" %}{%endblock title %} {% block content %}
{% translate "Your request was forwarded successfully, thanks!" %}
{% blocktranslate %} You will soon receive a mail with access credentials. Login and change the automatic password. Remember that you subscribed to the {% endblocktranslate %} {% translate "Privacy agreement" %}.
{% blocktranslate with name=website.name %} Fill in the form to signup to {{ name }}. Registered users get access to extra content and can interact with the website. If you just want to send us a word use this other{% endblocktranslate %} {% translate "Privacy agreement" %}.
{% translate "If you are a registered user just" %} {% translate "login" %}.
{% if form.errors %}{% translate "Fix the errors below, please" %}.
{% endif %}


Style me with a basic directive
Style me with a better directive
Style me with a hostbinding directive
Custom binding


jquery.scrollParallax
Implementing parallax effect by utilizing various events of scroll.
scrollTiming
scrollSeed
scrollFit


An example blog post with a responsive video embed
February 22, 2015An example blog post with a responsive video embed
Read onLorem ipsum
February 21, 2015Article summary comes here. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Read on


| Submissions open | October 1, 2015 |
| Submissions close | October 31, 2015 |
| Public Testing | Unknown |
| Results announced | Unknown |
Design out of 10 |
Aesthetics out of 5 |
Gameplay out of 10 |
Public rating out of 5 |
| Only Free for All (FFA) maps were allowed to be submitted into this contest. | |
| XML documents were to be included with the submission. |
| First Place | Map residence, winner trophy, and a donor rank |
| Second Place | Map residence, and a donor rank |
| Third Place | Map residence, and a donor rank |
| # | Map | Design / 10 | Aesthetics / 5 | Gameplay / 10 | Public rating / 5 | Total |
| - | Asura | 4.43 | 3.14 | 4.4 | 2.25 | 0 |
| 5th | Bifrost | 3.71 | 4 | 3.2 | 2.2 | 0 |
| 3rd | Enthral | 4.71 | 3.57 | 3.8 | 2.08 | 0 |
| 6th | Fallen Debris | 3.86 | 3 | 3.83 | 2.24 | 0 |
| 9th | Hillside | 3.43 | 2.86 | 2.4 | 1.98 | 0 |
| 1st | L'automne | 5 | 3.83 | 4.17 | 2.33 | 0 |
| 7th | Pompeii | 3.71 | 3.43 | 2.2 | 2.3 | 0 |
| 8th | Pumpkin Spice Latte FFA | 3.57 | 2 | 3.34 | 2.57 | 0 |
| 11th | Simulation #1 | 4.29 | 1.86 | 1.8 | 2.2 | 0 |
| 2nd | Treasure Town | 4.86 | 3.29 | 4.2 | 2.17 | 0 |
| 10th | Two Way Road | 3.29 | 2.14 | 2.83 | 2.09 | 0 |
| 4th | Weirwood | 4.43 | 3.29 | 3.83 | 2.31 | 0 |


Recieved at <%= requestedTime %>
| colspan="2"> Contact | |
| > Customer Name | ><%= details.name %> |
| > Customer Email | ><%= details.email %> |
| > Customer Phone | ><%= details.phone %> |
| colspan="2"> Event | |
| > Event Type | ><%= details.event_type %> |
| > Guest Count | ><%= details.guests %> |
| > Start Time | ><%= start %> |
| > End Time | ><%= end %> |
| > Flexibile Timing? | ><%= flexible %> |
| > Special Instructions | ><%= details.instructions %> |
| colspan="2"> Service | |
| > Service Type | ><%= service.type %> |
| > Closest Slows | ><%= slows.label %> |
| colspan="2"> Address Provided | |
| > Street Address | ><%= address.street %> |
| > City | ><%= address.city %> |
| > State | ><%= address.state.name %> |
| > Zip | ><%= address.zip %> |
<%= slug %>
Recieved at <%= requestedTime %>


IOTA Wallet Seed Generator
Securely generate a seed for your IOTA crypto wallet using a mnemonic and a passphrase
Copy to Clip
New Mnemonic
Convert to Seed


Mangoes are juicy stone fruit (drupe) from numerous species of tropical trees belonging to the flowering plant genus Mangifera, cultivated mostly for their edible fruit.
The majority of these species are found in nature as wild mangoes. The genus belongs to the cashew family Anacardiaceae. Mangoes are native to South Asia,[1][2] from where the "common mango" or "Indian mango", Mangifera indica, has been distributed worldwide to become one of the most widely cultivated fruits in the tropics. Other Mangifera species (e.g. horse mango, Mangifera foetida) are grown on a more localized basis.
Price = {{ price | currency : "Rs."}}


12 February 2008
The Ministry of Health of Indonesia has announced a new case of human infection of H5N1 avian influenza. A 15-year-old female from West Jakarta, Jakarta Province developed symptoms on 2 February, was hospitalized on 8 February and is currently in hospital in a critical condition. The case is the daughter of a previously confirmed case, the 38-year-old female from West Jakarta, Jakarta Province who developed symptoms on 23 January.
Investigations into the source of her infection are ongoing. However, she was exposed to her sick mother on 27-28 January and spent time in a neighbourbood where chickens and other birds were found. Samples from these birds have been taken and are undergoing tests to determine whether they may have been the source of infection.
Of the 127 cases confirmed to date in Indonesia, 103 have been fatal.


Maker from Dallas, now based in Los Angeles
Hey y'all, I'm Isabella! I'm interested in all sorts of things, but here you'll mostly find my work in product design, graphics, marketing, and business management (I also like hockey, Renaissance art, and red wines). I am currently a student at the University of Southern California's Iovine and Andre Young Academy pursuing a major in "Arts, Technology, and the Business of Innovation" and a minor in Business Finance. I thrive on chaos and love a genuine challenge.
I believe that the future of successful innovation lies in being expectedly unexpected.
Recently I've been learning about human centered design-- specifically how everyone is the protagonist of their own story and how products are simply tools along that journey. When I design, I strive to create something that solves an unrealized problem in an intuitive and adoptable way. I want my brand to be recognizable for its seamless efficency between form and function and always offer a new solution to a legitimate need.
The Iovine and Young Academy of Arts, Technology, and the Business of Innovation.
The Iovine and Young Academy is a recently created program at USC that integrates the areas of design, entrepreneurship, and computer science. While we delve deeper into each field individually, we also prioritize communication at their intersection.
Notable Classes


IntroThe Commons Configuration software library provides a generic configuration interface which enables a Java application to read configuration data from a variety of sources. Commons Configuration provides typed access to single, and multi-valued configuration parameters as demonstrated by the following code: Double double = config.getDouble("number"); Integer integer = config.getInteger("number"); Configuration parameters may be loaded from the following sources:
The full Javadoc API documentation is available here. Commons Configuration 1.x and 2.xAfter its initial release in 2004, Apache Commons Configuration has been steadily improved, and a series of feature releases has been published over the years. All of these releases were binary backwards-compatible. The latest release of this series is version 1.10. This code base is now pretty mature and does what it is expected to do. Nevertheless, there have been some design decisions made in the past which are problematic in retrospect. For instance, access to configuration objects is always synchronized which might be a performance issue in some use cases, or support for reloading of configuration data is very limited - just to mention a few pain points. These problems could not be fixed without breaking backwards compatibility in the affected areas. Therefore, work has been spent on a major redesign of the library addressing some of the weaknesses of the 1.x versions. The results have been made available over a longer period as a series of alpha and beta releases. Now the final version 2.0 is available incorporating feedback from the community. Note that this is not a drop-in replacement for Commons Configuration 1.x! Changes on client code are required to make use of the new version. There is a Migration guide that can be used as guideline when upgrading from version 1.x to 2.0. It describes the most important changes. A good source of information is also the Changes Report that explains all of the changes and bug fixes that have been applied. Both Commons Configuration 1.10 and the most recent 2.x release can be downloaded from the Apache download area. The artifacts have also been deployed to Maven central (with different coordinates for both versions to avoid conflicts). Which version should you use? Well, if you are a long-term user of Commons Configuration 1.x and happy with its functionality, there is no urgent pressure to upgrade to the newest version. New projects, however, should start with the new API as it offers more functionality and makes some tasks easier and cleaner. Also note that development currently focuses exclusively on the 2.x branch, so that the probability for bug-fix releases for version 1.x is pretty low. HistoryCommons Configuration started as code in Apache JServ. The JServ code was subsequently added to Jakarta Turbine. After Jakarta Turbine, this configuration interface moved to Jakarta Velocity and underwent various improvements. After Velocity, this code was introduced to the Apache Commons as ExtendedProperties. Configuration began life in the Commons as a Sandbox component, and was promoted to the Commons Proper in late 2003. BugsBugs may be reported via the ASF JIRA system. Detailed information can be found on the issue tracking page. |


It is a web project to improve people's eating habits, giving advice and clear information. It was proposed by two graphic designers and I developed the programming in html, css and java script.
It is an entertainment project based on the animation and illustration of stories and characters. Develop the website to promote the project through html and css.
Java
Python
SQL
Calm
Responsable
Concentration
Innovation


[t]Confirmation[/t]
[t]Details[/t]
{$credits} [t]Credit(s) will be subtracted for this action.[/t]
[t]Click 'Accept' to continue or 'Back' to go back to the previous page[/t]
[t]Don't show this message again[/t]


Welcome {{ request.user.name }}!
[ Welcome {{ request.user.name }} ]
Friend Requests
{% if friend_requests == 0 %}You have received No friend requests.{% else %}You have received {{ friend_requests }} friend requests.{% endif %}
Pokes
{% if pokes == 0 %}You have received No pokes.{% else %}You have received{{ pokes }} pokes.{% endif %}
Your Friends
{% if friends == 0 %}You don't have any friends right now.{% else %}You have {{ friends }} friends.{% endif %}


Used to set an alternate template layout to a window.
@since SDL 6.0
Constructor with the required values.
- (nonnull instancetype)initWithPredefinedLayout:
(nonnull SDLPredefinedLayout)predefinedLayout;
init(predefinedLayout: SDLPredefinedLayout)
A template layout an app uses to display information. The broad details of the layout are defined, but the details depend on the IVI system. Used in SetDisplayLayout.
Init with the required values.
- (nonnull instancetype)initWithTemplate:(nonnull NSString *)template;
init(template: String)
Predefined or dynamically created window template. Currently only predefined window template layouts are defined.
Convenience constructor with all the parameters.
- (nonnull instancetype)
initWithTemplate:(nonnull NSString *)template
dayColorScheme:(nullable SDLTemplateColorScheme *)dayColorScheme
nightColorScheme:(nullable SDLTemplateColorScheme *)nightColorScheme;
init(template: String, dayColorScheme: SDLTemplateColorScheme?, nightColorScheme: SDLTemplateColorScheme?)
Predefined or dynamically created window template. Currently only predefined window template layouts are defined.
The color scheme to use when the head unit is in a light / day situation. If nil, the existing color scheme will be used.
The color scheme to use when the head unit is in a dark / night situation.
Predefined or dynamically created window template. Currently only predefined window template layouts are defined.
@property (nonatomic, strong) NSString *_Nonnull template;
var template: String { get set }
The color scheme to use when the head unit is in a light / day situation.
@property (nonatomic, strong, nullable) SDLTemplateColorScheme *dayColorScheme;
var dayColorScheme: SDLTemplateColorScheme? { get set }
The color scheme to use when the head unit is in a dark / night situation.
@property (nonatomic, strong, nullable) SDLTemplateColorScheme *nightColorScheme;
var nightColorScheme: SDLTemplateColorScheme? { get set }


--- layout: article title: 2009 in photos permalink: /photos/09.html ---
2009 was something of a year of change and upheaval. The Global Financial Crisis ate Peter's job, which took a little getting used to. On the upside, he had more time to fix things up around the house and we got a vegie patch going, hence this barrow of kipfler potatoes.


Swift Kuery ORM
Swift-Kuery-ORM is an ORM (Object Relational Mapping) library for Swift built on top of Swift Kuery, using it allows you to simplify the persistence of model objects with your server.
In this guide we will show you how to save and retrieve a Codable Swift model from a database (in this case PostgreSQL) using the ORM.
This guide uses the ORM with codable routes, however, the ORM also works with Kitura's raw routing.
Support for nested Codable types (models, structs, arrays etc.) is not currently available in the ORM. Support for simple nesting will be added prior to releasing V1.0, more complex nesting will be added for V2.0.
Step 1: Define the ORM routes
We are going to create a new file in our project for the ORM routes.
If you don't have a server, follow our Create a server guide.
Open your Application.swift file:
open Sources/Application/Application.swift
Inside the postInit() function add:
initializeORMRoutes(app: self)
Create a new file called ORMRoutes.swift to define the ORM routes in:
touch Sources/Application/Routes/ORMRoutes.swift
Open the ORMRoutes.swift file:
open Sources/Application/Routes/ORMRoutes.swift
Inside this file we will add the code for our ORM routes:
import KituraContracts
func initializeORMRoutes(app: App) {
// Connect to database here
app.router.post("/orm", handler: app.saveHandler)
app.router.get("/orm", handler: app.findAllHandler)
app.router.get("/orm", handler: app.findOneHandler)
}
extension App {
func saveHandler(book: Book, completion: (Book?, RequestError?) -> Void) {
// Save book here
}
func findAllHandler(completion: ([Book]?, RequestError?) -> Void) {
// Get all books here
}
func findOneHandler(id: Int, completion: (Book?, RequestError?) -> Void) {
// Get one book here
}
}
We have defined three routes on the "/orm" endpoint. One to handle POST requests, one to handle GET requests with an identifier and one to handle GET requests without an identifier.
The routes in this guide are using the Book model from the routing guide, however you could use any Codable type.
Step 2: Add the ORM to the project's dependencies
You can use any of the other database plugins supported by Swift-Kuery, however, the rest of this guide is written to work with the Swift-Kuery-PostgreSQL plugin.
To use the ORM, we need to add Swift-Kuery-ORM and add Swift-Kuery-PostgreSQL to your dependencies.
Next, we import the ORM library and our chosen plugin to the project:
import SwiftKueryORM
import SwiftKueryPostgreSQL
Step 3: Update our Model
The key component of the ORM is the Model protocol which extends what Codable provides. In order to use the ORM, we need to make Book conform to the Model protocol.
We do this using an extension beneath our import statements:
extension Book: Model { }
Now that your Book struct conforms to Model, after you have set up your database connection pool and created a database table, you automatically have access to a slew of convenience functions for your object.
Step 4: Create a database connection
Install the PostgreSQL client
To use Swift-Kuery-PostgreSQL you need to have the appropriate PostgreSQL C-language client installed.
macOS
On macOS we can use Homebrew to install Postgres:
brew install postgresql
Linux
On Linux we can use apt to install PostgreSQL:
sudo apt install postgresql postgresql-contrib
Linux requires that you create a PostgreSQL user.
Create a PostgreSQL database
Now that we have PostgreSQL installed we can create a database:
createdb bookdb
Now we're ready to connect to our database from our Kitura server.
Create a PostgreSQL connection pool
Inside initializeORMRoutes, create a PostgreSQL connection pool:
let pool = PostgreSQLConnection.createPool(host: "localhost", port: 5432, options: [.databaseName("bookdb")], poolOptions: ConnectionPoolOptions(initialCapacity: 10, maxCapacity: 50))
Database.default = Database(pool)
If you are on Linux, you must provide your username and password in the options for PostgreSQLConnection.createPool().
Create a Book table
Inside initializeORMRoutes, create a table in the SQL database that represents our Book model:
do {
try Book.createTableSync()
} catch {
print("Failed to create table: \(error)")
}
To check that a database table called Book has been created, run your Kitura server and then use psql from the command-line as follows:
psql bookdb
SELECT * FROM "Book";
This should print the column names of the Book table with no data (i.e. no rows).

In our handler for the POST route we add the following:
book.save(completion)
Because we are passing our completion closure to an asynchronous function, we need to make completion escaping:
completion: @escaping (Book?, RequestError?)
The POST handler should look similar to this:
func saveHandler(book: Book, completion: @escaping (Book?, RequestError?) -> Void) {
book.save(completion)
}
That's all we need to do, with that one line of code any book data posted to the /orm endpoint will be stored in the Book table in our database.
Next we will show how easy it is to retrieve our book data from the database.
Step 6: Retrieve all the books from the database
Next we will retrieve all the data from the book table in our database, to do this we use the findAll method.
The findAll method returns an array containing all the books.
In our findAllHandler add the following code:
Book.findAll(completion)
As with the saveHandler, again we must make the completion escaping:
completion: @escaping ([Book]?, RequestError?)
The GET handler should look similar to this:
func findAllHandler(completion: @escaping ([Book]?, RequestError?) -> Void) {
Book.findAll(completion)
}
Now that we have defined both a POST and a GET route we can test saving and retrieving a book from the database using curl.
Kitura has support for OpenAPI which makes testing Codable routes easy and provides a UI for testing.
You can add OpenAPI to your server using our OpenAPI guide.
Firstly we need to start our Kitura server.
In the terminal use curl to post a book to our endpoint:
curl -X POST \
http://localhost:8080/orm \
-H 'content-type: application/json' \
-d '{
"id": 0,
"title": "A Game of Thrones",
"price": 14.99,
"genre": "Fantasy"
}'
You should see the following output:
{"id": 0,"title":"A Game of Thrones","price":14.99,"genre":"Fantasy"}
Next we will retrieve our book data.
Open your browser at:
This will make a get request to the server and you should see the book we posted before:
[{"id": 0,"title":"A Game of Thrones","price":14.99,"genre":"Fantasy"}]
Now you can restart your Kitura server and the book data will persist in the database. This is one of the many advantages of using a database.
Step 7: Retrieve a single book from the database
If we want to retrieve a single book from our database, we use the find(id:) method.
This will return a single object with the provided id.
In our findOneHandler add the following code:
Book.find(id: id, completion)
As with our previous handler, we must make the completion escaping:
completion: @escaping (Book?, RequestError?)
The GET one handler should look similar to this:
func findOneHandler(id: Int, completion: @escaping (Book?, RequestError?) -> Void) {
Book.find(id: id, completion)
}
Test this out by opening your browser at:
This will make a get request to the server for a book with an id of 0, so it should return the book we posted previously.
Your completed routes file, ORMRoutes.swift, should look as follows:
import KituraContracts
import SwiftKueryORM
import SwiftKueryPostgreSQL
extension Book: Model { }
func initializeORMRoutes(app: App) {
let pool = PostgreSQLConnection.createPool(host: "localhost", port: 5432, options: [.databaseName("bookdb")], poolOptions: ConnectionPoolOptions(initialCapacity: 10, maxCapacity: 50))
Database.default = Database(pool)
do {
try Book.createTableSync()
} catch {
print("Failed to create table: \(error)")
}
app.router.post("/orm", handler: app.saveHandler)
app.router.get("/orm", handler: app.findAllHandler)
app.router.get("/orm", handler: app.findOneHandler)
}
extension App {
func saveHandler(book: Book, completion: @escaping (Book?, RequestError?) -> Void) {
book.save(completion)
}
func findAllHandler(completion: @escaping ([Book]?, RequestError?) -> Void) {
Book.findAll(completion)
}
func findOneHandler(id: Int, completion: @escaping (Book?, RequestError?) -> Void) {
Book.find(id: id, completion)
}
}
Next steps
Sessions: Learn about sessions and why you might want to use them.


Transfer students come from a myriad of backgrounds. Some are arriving at OU from larger schools they found overwhelming, others are coming from tiny institutions in the hopes of finding the “college experience” in Athens and others are coming to Ohio University to be closer to home after spending time away.
When I arrived in Athens in the summer of 2018 for orientation, I was a transfer student of the “seeking the college experience” variety. I had spent my freshman year living at home and attending a commuter campus, and for me OU represented everything my previous institution wasn’t. Despite my excitement over arriving in Athens, everything was not smooth sailing and looking back there are several things I would do differently.
Orientation has the potential to shape your first months in Athens. Something incredibly valuable Ohio University offers is the transfer learning community, which allows you to live and take a class with other transfer students; however, decisions about this learning community must be made during BSO. Personally, joining this learning community was the best decision I’ve made in my time at OU (second to joining The Post of course.) It allowed me to meet some of my best friends and navigate the strange limbo of being a transfer student with peers who were also going through it.
Speaking of that transfer limbo, orientation also gives you the opportunity to meet other students who can truly relate to the growing pains of transferring schools. If you’re like most transfer students, you’ll be coming in after only spending a year or two at your previous institution. This means you won’t be a freshman, but you might have a hard time relating to your classmates who have been at OU since the start. You’ll be more of a “freshmore” than anything else. You have a footing when it comes to college life, but many parts of OU will be brand new and with that comes an adjustment period.
However, transferring is not all stress, coming in with a year or so of college under your belt means you have an advantage over coming to OU freshly out of high school. This experience is especially useful when enrolling in classes for the fall during orientation.
Despite what your advisor or orientation leader may tell you, OU is a party school and if you spent time partying at your last school, odds are you’ll be doing it here was well. When you begin enrolling it’s important to be honest with yourself. If you plan on having an active social life, you should consider what course load you can handle. If you hate math and you plan on joining two groups on campus and going out two-to-three times a week, is it really a good idea to take multiple math courses when your schedule allows for only one? Questions like these will help ensure your success and happiness in Athens.
Thankfully, OU is not just a party school. There is a vast selection of academic, professional and social groups available for all students and joining these as soon as you can will make your time spent in Athens fulfilling. Considering many transfer students may not be spending a full four years here, being proactive about getting involved is key. The earlier you can get into a club that’s right for you the better, don’t be scared to ask questions at orientation.
If you keep all of that in mind, orientation will be an incredible experience. Even after the roughly $50,000 of debt, the homesickness and the struggles that college can bring, choosing to transfer here has been the best decision of my life thus far. If you want to find a home here, you will. Remain patient and stay focused and before you know it you’ll forget you were even a transfer student to begin with.
Noah Wright is a senior studying strategic communication at Ohio University. Please note that the views and opinions of the columnists do not reflect those of The Post. Want to talk to Noah? Tweet him @NoahCampaign.


Lee Dae Hwi shows 'real life' reaction after watching his good friend Golden Child Bomin's kiss scene
by beansssAB6IX's Lee Dae Hwi and Golden Child's Bomin were spotted having a real life best friends(?) moment at the '2019 V Live Awards V Heartbeat', which took place this weekend!
Fans know that Lee Dae Hwi and Bomin are good friends from some of the previous public interactions they've shown, like below. Then, during the '2019 V Live Awards V Heartbeat', all of those in attendance got to watch Bomin's kiss scene during web drama 'A-Teen' season 2, as the web drama took home an award for the most loved web drama of the year!
Check out Lee Dae Hwi's surprised reaction (~ 0:20 mark), above!


1. Open
screenshot
2. Edit
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detail
set timeline
save your image
get the selected id
3. Save
show data
save as your project
load from your project
save to the local
open from the local
2018
Jan
I would complete my task before
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my task
I
March
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May
I
July
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Sept.
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Jan
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March
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Jan


The power of music
We can all think of at least one song that, when we hear it, triggers an emotional response. It might be
a song that accompanied the first dance at your wedding, for example, or a song that reminds you of a
difficult break-up or the loss of a loved one.
Reducing pain and anxiety
By analyzing 72 randomized controlled trials involving more than 7,000 patients who received surgery,
researchers found those who were played music after their procedure reported feeling less pain and
anxiety than those who did not listen to music, and they were also less likely to need pain medication.
An effective stress reliever
The study researchers, including Prof. Isabelle Peretz of the Center for Research on Brain, Music and
Language at the University of Montreal in Canada, suggested the repetitive pattern of the music the
infants listened to reduced distress, possibly by promoting "entrainment".


Hi! My name is Paul Kupiszewski and I am currently a student in the UCF Coding Bootcamp. I am an aspiring developer seeking work which offers valuable experience and learnign opportunities. Besides coding my hobbies include spending time with my dog Barney, visiting state and national parks, and skydiving. I look foward to expanding my professional horizions and advancing my career as a developer.


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InputMask is based on jquery mask plugin so include the inputmask bundle script in your application and then import the component from PrimeNG.
import {InputMaskModule} from 'primeng/primeng';
Component is defined with p-inputMask element and two-way value binding is enabled with standard ngModel directive.

InputMask can be used in a model driven form as well.

A mask is defined with the following syntax.

An alis is a shortcut for commonly used masks such as dates and numbers.

An alias is configured using options property. Each alias can have a different set of options. For full list of options please refer to extensions documentation.

A regular expression can be used as a mask as well by defining an alias as "regex" and providing the expression in options.

Certain parts of a mask can be optional with [] syntax. In following example values like 143 or 14 are accepted.

| Name | Type | Default | Description |
|---|---|---|---|
| mask | string | null | Mask pattern. |
| style | string | null | Inline style of the input field. |
| styleClass | string | null | Style class of the input field. |
| placeholder | string | null | Advisory information to display on input. |
| slotChar | string | _ | Placeholder character in mask, default is underscore. |
| alias | string | null | Shorthand for a predefined mask. |
| options | Object | null | Configuration for mask alias. |
| unmask | boolean | false | Defines if ngModel sets the raw unmasked value to bound value or the formatted mask value. |
| clearMaskOnLostFocus | boolean | false | Remove the empty mask on blur or when not empty removes the optional trailing part. Default is true. |
| clearIncomplete | boolean | false | Clears the incomplete input on blur. |
| disabled | boolean | false | When present, it specifies that the element should be disabled. |
| disabled | boolean | false | When present, it specifies that the element value cannot be altered. |
| size | number | null | Size of the input field. |
| maxlength | number | null | Maximum number of character allows in the input field. |
| Name | Parameters | Description |
|---|---|---|
| onComplete | - | Callback to invoke on when user completes mask pattern. |
| onInComplete | Callback to invoke on when user leaves the field without completing mask pattern. |
Styling is same as inputtext component, for theming classes visit theming page.
jQuery input mask plugin.

export class InputMaskDemo {
val1: string;
val2: string;
val3: string;
val4: string;
val5: string;
val6: string;
}


Common Client Interface
This section explains how components use the Connector Architecture Common Client Interface (CCI) API and a resource adapter to access data from an EIS. The CCI API defines a set of interfaces and classes whose methods allow a client to perform typical data access operations. The CCI interfaces and classes are as follows:
ConnectionFactory: Provides an application component with a Connection instance to an EIS.
Connection: Represents the connection to the underlying EIS.
ConnectionSpec: Provides a means for an application component to pass connection-request-specific properties to the ConnectionFactory when making a connection request.
Interaction: Provides a means for an application component to execute EIS functions, such as database stored procedures.
InteractionSpec: Holds properties pertaining to an application component’s interaction with an EIS.
Record: The superinterface for the various kinds of record instances. Record instances can be MappedRecord, IndexedRecord, or ResultSet instances, all of which inherit from the Record interface.
RecordFactory: Provides an application component with a Record instance.
IndexedRecord: Represents an ordered collection of Record instances based on the java.util.List interface.
A client or application component that uses the CCI to interact with an underlying EIS does so in a prescribed manner. The component must establish a connection to the EIS’s resource manager, and it does so using the ConnectionFactory. The Connection object represents the connection to the EIS and is used for subsequent interactions with the EIS.
The component performs its interactions with the EIS, such as accessing data from a specific table, using an Interaction object. The application component defines the Interaction object by using an InteractionSpec object. When it reads data from the EIS, such as from database tables, or writes to those tables, the application component does so by using a particular type of Record instance: a MappedRecord, an IndexedRecord, or a ResultSet instance.
Note, too, that a client application that relies on a CCI resource adapter is very much like any other Java EE client that uses enterprise bean methods.


WITNESS LIST Business & Commerce Committee (Subcommittee on Subcommittee on Interim Charge #5) March 18, 2002 - 1:00P Prevailing State Wage Rate Differen ON: Barrett, Sister Bernie (Metro Alliance, COPS), San Antonio, TX Bohuslav, Thomas Director, Construction Division (Texas Department of Transportation), Austin, TX Broadrick, Douglas Shawn (Members of Road Sprinkler Fitters), Waller, TX Byram, Gordon Business Manager (IBEW Local 520), Austin, TX Davenport, John Director, Construction Procurement (Texas Building and Procurement Commission), Austin, TX Donnelly, Denise (Office of the Attorney General), Austin, TX Frank, Father Jerry (Valley Interfaith), McAllen, TX Hall, Rev. James (Texas Industrial Areas Foundation Network), El Paso, TX Hughes, Mark (Texas Workforce Commission), Austin, TX Lively, Lance (AGL - Road Division), Austin, TX Lord, Rick (Texas Pipe Trades), Houston, TX Raspberry, Ronnie Executive Secretary (Houston Gulf Coast Building and Construction Trades Council), Houston, TX Raymundo, Bonifacio (Valley Interfaith), McAllen, TX Rittler, Andrew (Association of Building Contractors), Austin, TX Rodriguez, Jose El Paso County Attorney (Self), El Paso, TX Salvatore, Bob (San Antonio Building and Trades Council), San Antonio, TX Snell, Travis (Comptrollers Office), Austin, TX Tilley, Danny Executive Secretary (Texas Building & Construction Trades Council), Austin, TX


Make time to express your stories and Imagination with us
Write and learn from your words with our communnity
Simply Express or Confess your stories with us and you will earn values for it
Ideas are infinite but yet they are the most powerful basement for your execution phase. It is the complete model
Keep thinking about your passion and try to present it in your words from the profiles portal under articles section
Check out for the event dates and more information about registration process


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.apiplatform.modules.mfa.controllers.profile.routes @import uk.gov.hmrc.apiplatform.modules.mfa.models.MfaDetail @import java.time.format.DateTimeFormatter; @import java.time.LocalDateTime; @this() @(mfaDetails: List[MfaDetail])()
This is how you get your access codes.
| @{mfaDetail.mfaType.asText} |
@if(mfaDetail.name != "AUTHENTICATOR_APP"){
@{mfaDetail.name} } @if(mfaDetail.createdOn.isAfter(LocalDateTime.of(2022,8,1,0,0))) { Added @DateTimeFormatter.ofPattern("dd MMMM yyyy HH:mm").format(mfaDetail.createdOn) } |
Remove |


At C Signs & Graphics, our goal is to work with you to provide the right communications solutions to meet your business challenges and help your company realize its full potential. We want to make you look great, and we have both the sign and marketing knowledge and the product expertise to help you succeed.
C Signs & Graphics provides comprehensive visual marketing solutions and help companies of all sizes and across all industries attract more attention, communicate their message, sell more products, help visitors find their way and extend their branding across all of their customer touch points including vinyl, vehicle wraps, magnetic, wearables, and marketing materials.
When you work with C Signs & Graphics, you get more than just a sign; you get the benefit of smart thinking, skilled execution, and impactful signs and graphics that meet your needs.
Products - We can handle all your business visibility needs — from vehicle graphics, interior décor signs and point of purchase signs to large banners, magnetic door signs, mobile graphics, wearables — and everything in between.
Visibility - Our marketing-savvy consultants can outline a plan that meets your business objectives and visual communications goals.
C Signs & Graphics Distinction - With a convenient location, you're never far from sign solutions. Whether you want banners, building signs, vehicle graphics, or signs for your windows, walls, doors, or floors, C Signs & Graphics uses the latest sign-making systems and techniques to create high-impact signs that provide results.
C Signs & Graphics People - When you trust your project to C Signs & Graphics, you'll be working with professionals who understand that your signs and graphics are the face your business presents to the world. We'll review the principles and priorities that drive your business and work with you to execute your project accurately, on time and on budget.
Commercial and corporate signage, vehicle wraps to promote brand identify for local businesses. To learn more, visit csignsgraphics.com or call +1(408)643-5923 for a fast sign and personal experience.
We are always looking for talented, dedicated professionals to join our team.


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public static final class OmniWheelDrive.Params extends java.lang.Object implements BaseParam
| Constructor and Description |
|---|
Params(java.lang.String topLeft,
java.lang.String topRight,
java.lang.String botLeft,
java.lang.String botRight)
A constructor for the parameters object.
|
| Modifier and Type | Method and Description |
|---|---|
OmniWheelDrive.Params |
setConstantSpeedModifier(double constantSpeedModifier)
Sets a constant speed multiplier to scale the calculated linear velocities by.
|
OmniWheelDrive.Params |
setConstantTurnSpeedMultiplier(double constantTurnSpeedMultiplier)
Sets a constant multiplier that will be applied to every speed while turning.
|
OmniWheelDrive.Params |
setDriveStick(Button driveStick)
Sets the driving input button.
|
OmniWheelDrive.Params |
setDriveStickLeft(Button driveStickLeft)
Sets the driving input button for the left side of the robot.
|
OmniWheelDrive.Params |
setDriveStickRight(Button driveStickRight)
Sets the driving input button for the right side of the robot.
|
OmniWheelDrive.Params |
setDriveType(OmniWheelDrive.DriveType driveType)
Sets the drive type to be used.
|
OmniWheelDrive.Params |
setEncodersPerMeter(double encodersPerMeter)
Sets the number of encoder ticks per meter distance traveled.
|
OmniWheelDrive.Params |
setImuNumber(int imuNumber)
Sets the number imu for the drive system to use.
|
OmniWheelDrive.Params |
setMotorRunMode(com.qualcomm.robotcore.hardware.DcMotor.RunMode runMode)
Sets the runmode of the motors.
|
OmniWheelDrive.Params |
setReverseType(OmniWheelDrive.ReverseType reverseType)
Set which motors are reversed.
|
OmniWheelDrive.Params |
setSpeedModeButton(Button speedMode)
Sets the button used to activate/deactivate speed mode.
|
OmniWheelDrive.Params |
setSpeedModeMultiplier(double speedModeMultiplier)
Sets the multiplier that will be applied when speed mode is entered.
|
OmniWheelDrive.Params |
setStabilityPID(PIDController stabilityPID)
Sets the PID controller used for stability control.
|
OmniWheelDrive.Params |
setStabilityPID(PIDController stabilityPID,
boolean useDegrees)
Sets the PID controller that will be used for stability control.
|
OmniWheelDrive.Params |
setStabilityPIDCoeffs(double kp,
double ki,
double kd)
Sets the coefficients for the stability PID controller.
|
OmniWheelDrive.Params |
setStabilityPIDCoeffs(double kp,
double ki,
double kd,
boolean useDegrees)
Sets the coefficients for the stability PID controller.
|
OmniWheelDrive.Params |
setStabilityPIDCoeffs(double kp,
double ki,
double kd,
double deadband)
Sets the coefficients for the stability PID controller.
|
OmniWheelDrive.Params |
setStabilityPIDCoeffs(double kp,
double ki,
double kd,
double deadband,
boolean useDegrees)
Sets the coefficients for the stabilityPID controller.
|
OmniWheelDrive.Params |
setTTAStick(Button ttaStick)
Sets the turn to angle input button.
|
OmniWheelDrive.Params |
setTurnLeftButton(Button turnLeft,
double turnSpeed)
Sets left turn button input.
|
OmniWheelDrive.Params |
setTurnPID(PIDController turnPID)
Sets the PID controller used for turning to specific angles.
|
OmniWheelDrive.Params |
setTurnPID(PIDController turnPID,
boolean useDegrees)
Sets the PID controller used for turning to specific angles.
|
OmniWheelDrive.Params |
setTurnPIDCoeffs(double kp,
double ki,
double kd)
Sets the coefficients for the turnPID controller.
|
OmniWheelDrive.Params |
setTurnPIDCoeffs(double kp,
double ki,
double kd,
boolean useDegrees)
Sets the coefficients for the turnPID controller.
|
OmniWheelDrive.Params |
setTurnPIDCoeffs(double kp,
double ki,
double kd,
double deadband)
Sets the coefficients for the turnPID controller.
|
OmniWheelDrive.Params |
setTurnPIDCoeffs(double kp,
double ki,
double kd,
double deadband,
boolean useDegrees)
Sets the coefficients for the turnPID controller.
|
OmniWheelDrive.Params |
setTurnRightButton(Button turnRight,
double turnSpeed)
Sets right turn button input.
|
OmniWheelDrive.Params |
setTurnSpeedModeButton(Button turnSpeedMode)
Sets the button used to toggle speed mode.
|
OmniWheelDrive.Params |
setTurnSpeedModeMultiplier(double turnSpeedModeMultiplier)
Sets the multiplier that will be applied to the turn speed when turn speed mode is activated.
|
OmniWheelDrive.Params |
setTurnStick(Button turnStick)
Sets the turning input button.
|
OmniWheelDrive.Params |
setVelocityPID(double kp,
double ki,
double kd,
double kf)
Sets the velocity PID coefficients.
|
OmniWheelDrive.Params |
setZeroPowerBehavior(com.qualcomm.robotcore.hardware.DcMotor.ZeroPowerBehavior behavior)
Sets the zero power behavior of the motors.
|
public Params(java.lang.String topLeft, java.lang.String topRight, java.lang.String botLeft, java.lang.String botRight)
topLeft
- The top left motor config name.topRight
- The top right motor config name.botLeft
- The bottom left motor config name.botRight
- The bottom right motor config name.public OmniWheelDrive.Params setDriveType(OmniWheelDrive.DriveType driveType)
driveType
- The driveType that will be used.public OmniWheelDrive.Params setDriveStick(Button driveStick)
driveStick
- The vector input used to control the robot.NotVectorInputException
- Throws this if the input button is not a vector input.public OmniWheelDrive.Params setDriveStickLeft(Button driveStickLeft)
driveStickLeft
- The vector input used to control the left side of the robot.NotVectorInputException
- Throws this if input button is not a vector input.public OmniWheelDrive.Params setDriveStickRight(Button driveStickRight)
driveStickRight
- The vector input used to control the right side of the robot.NotVectorInputException
- Throws this if input button is not a vector input.public OmniWheelDrive.Params setTurnStick(Button turnStick)
turnStick
- The double input used to control the robot's turning speed.NotDoubleInputException
- Throws this if the input button is not a double input.public OmniWheelDrive.Params setTTAStick(Button ttaStick)
ttaStick
- The vector input used to control what angle the robot turns to.NotVectorInputException
- Throws this is the input button is not a vector input.public OmniWheelDrive.Params setTurnLeftButton(Button turnLeft, double turnSpeed)
turnLeft
- The button used to make the robot turn left.turnSpeed
- The speed at which the robot should turn left when the button is pressed.NotBooleanInputException
- Throws this if the input button is not a boolean input.public OmniWheelDrive.Params setTurnRightButton(Button turnRight, double turnSpeed)
turnRight
- The button used to make the robot turn right.turnSpeed
- The speec at which the robot should turn right when the button is pressed.NotBooleanInputException
- Throws this if the input button is not a boolean input.public OmniWheelDrive.Params setSpeedModeButton(Button speedMode)
speedMode
- The speed mode button.NotBooleanInputException
- Throws this exception if the speedmode button is not a boolean input.public OmniWheelDrive.Params setTurnSpeedModeButton(Button turnSpeedMode)
turnSpeedMode
- The button that will be used to toggle turn speed mode.NotBooleanInputException
- Throws this exception if the speedmode button is not a boolean input.public OmniWheelDrive.Params setImuNumber(int imuNumber)
imuNumber
- The imu's number. Must be either 1 or 2.NotAnAlchemistException
- Throws this if the imu number is not 1 or 2. Can't make something out of nothing.public OmniWheelDrive.Params setTurnPIDCoeffs(double kp, double ki, double kd)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.public OmniWheelDrive.Params setTurnPIDCoeffs(double kp, double ki, double kd, boolean useDegrees)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.useDegrees
- A boolean specifying if the units are in degrees.public OmniWheelDrive.Params setTurnPIDCoeffs(double kp, double ki, double kd, double deadband)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.deadband
- The controller's deadband.public OmniWheelDrive.Params setTurnPIDCoeffs(double kp, double ki, double kd, double deadband, boolean useDegrees)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.deadband
- The controller's deadband.useDegrees
- A boolean specifying if the units are in degrees.public OmniWheelDrive.Params setTurnPID(PIDController turnPID)
turnPID
- The PID to use for turning to specific angles.public OmniWheelDrive.Params setTurnPID(PIDController turnPID, boolean useDegrees)
turnPID
- The PID to use for turning to specific angles.useDegrees
- Whether the PID controller uses degrees.public OmniWheelDrive.Params setStabilityPIDCoeffs(double kp, double ki, double kd)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.public OmniWheelDrive.Params setStabilityPIDCoeffs(double kp, double ki, double kd, boolean useDegrees)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.useDegrees
- A boolean specifying if the units are in degrees.public OmniWheelDrive.Params setStabilityPIDCoeffs(double kp, double ki, double kd, double deadband)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.deadband
- The controller's deadband.public OmniWheelDrive.Params setStabilityPIDCoeffs(double kp, double ki, double kd, double deadband, boolean useDegrees)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.useDegrees
- A boolean specifying if the units are in degrees.public OmniWheelDrive.Params setStabilityPID(PIDController stabilityPID)
stabilityPID
- The PID to use for stability control.public OmniWheelDrive.Params setStabilityPID(PIDController stabilityPID, boolean useDegrees)
stabilityPID
- The PID controller that will be used for stability control.useDegrees
- Whether or not the PID controller uses degrees.public OmniWheelDrive.Params setVelocityPID(double kp, double ki, double kd, double kf)
kp
- Proportional gain.ki
- Integral gain.kd
- Derivative gain.kf
- Feedforward gain.public OmniWheelDrive.Params setEncodersPerMeter(double encodersPerMeter)
encodersPerMeter
- The number of encoder ticks per meter distance traveled.public OmniWheelDrive.Params setConstantSpeedModifier(double constantSpeedModifier)
constantSpeedModifier
- The value to multiply the speed by.public OmniWheelDrive.Params setSpeedModeMultiplier(double speedModeMultiplier)
speedModeMultiplier
- The multiplier that will be applied when speed mode is entered.public OmniWheelDrive.Params setConstantTurnSpeedMultiplier(double constantTurnSpeedMultiplier)
constantTurnSpeedMultiplier
- The constant turn speed multiplier.public OmniWheelDrive.Params setTurnSpeedModeMultiplier(double turnSpeedModeMultiplier)
turnSpeedModeMultiplier
- The turn speed mode multiplier.public OmniWheelDrive.Params setMotorRunMode(com.qualcomm.robotcore.hardware.DcMotor.RunMode runMode)
runMode
- The desired runmode.public OmniWheelDrive.Params setZeroPowerBehavior(com.qualcomm.robotcore.hardware.DcMotor.ZeroPowerBehavior behavior)
behavior
- The desired zero power behavior.public OmniWheelDrive.Params setReverseType(OmniWheelDrive.ReverseType reverseType)
reverseType
- Which motors should be reversed.


{{/* load scripts on the bottom of html's body element */}}
{{ partial "resources/scripts/holder.html" . }}
{{ partial "resources/scripts/clipboard.html" . }}
{{ partial "resources/scripts/typekit.html" . }}
{{ partial "resources/scripts/mathjax.html" . }}
{{ partial "resources/scripts/pangu.html" . }}
{{ partial "resources/scripts/fontawesome.html" . }}


Herbvivores
These type of animals and humans eat only plant products and some kind of animal products too,
like milk, cheese etc.
Omnivorous
These type of animals and humans eat both plants and animals.
Carnivorous
These type of animals and humans eat only flesh and meat.


--- title: Projects Landing - Gamespawn layout: default extra_css: projects_homepage.css ---
Projects are the pride and soul of GameSpawn! They are games made with blood, sweat, and tears (hopefully not) made by our brilliant members of the club. Each project is led by usually one (sometimes multiple) lead to which everyone on that team works towards creating a playable game by the end of their 10 week journey. Keep in mind that we are still students with responsibilities outside of GameSpawn so even if it doesn't look the best, all we strive for is something finished, not a masterpiece. Without further ado, lookie!
Latest Update:


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How to train YOLOv2 to detect custom objects
In this article, we will be going over all the steps required to install and train Joseph Redmon's YOLOv2 state of the art real-time object detection system. Its technological prowess is explained in detail in the paper YOLO9000: Better, Faster, Stronger and on the project website.
YOLOv2 is written for a Linux platform, but in this post we'll be looking at the Windows port by AlexeyAB, which can be found on this Darknet GitHub repository. All commands and steps described here can easily be reproduced on a Linux machine. While it is true AlexeyAB's GitHub page has a lot of documentation, I figured it would be worthwile to document a specific case study on how to train YOLOv2 to detect a custom object, and what tools I use to set up the entire environment.
The custom object we want to detect in this article is the NFPA 704 'fire diamond'.
The data set I composed for this article can be found here (19.4Mb).
To be able to follow all steps in this article, you'll need to have some software packages installed on your machine. I won't redo AlexeyAB's documentation, he lists the requirements very clearly.
Getting Darknet
Maybe an obvious step, but included for completeness sake. Clone the Darknet GitHub repository for the platform of your choosing. As I explained, I will mainly focus on a Windows based approach, so open up a Git bash and clone AlexeyAB's repository:
git clone https://github.com/AlexeyAB/darknet.git
Data annotation
We are training a computer vision algorithm, so naturally we'll need images that it can train on. Generally, about 300 different images per category are required to be able to train for a decent detection.
I use the BBox Label Tool to annotate the training images. This Python 2.7 library allows us to easily generate the training data in the correct format YOLOv2 requires. So clone the GitHub repository and edit the main.py file to correctly reflect the folder where you have saved your training images. Line 128 is the one requiring our attention:
128 s = r'D:\workspace\python\labelGUI'
129 ## if not os.path.isdir(s):
130 ## tkMessageBox.showerror("Error!", message = "The specified dir doesn't exist!")
131 ## return
It doesn't really matter where you save your training images, just try to keep things organized because we'll have a lot of data all over the place soon.
Next, let's fire up the tool. Seeing as how I have both Python 3.6.0 and Python 2.7.13 installed on my machine, I have to specify we will be using using Python 2.7 in my terminal:
python27 .\main.py
The GUI of the BBox Label Tool will pop up, initially empty. Once we press the Load button, all images we have in our training data folder should be be loaded into the program, provided the script points to the correct folder. This is the first time you will probably notice we are not living in a perfect world: possibly a lot of images are missing. Spoiler: the BBox Label Tool only looks for .jpg images, and no: not even .jpeg files will do. All of your .png, .gif, ... you name it files won't be there. Disaster!
Bulk Image Converter to the rescue! Just launch it from anywhere, pick the folder where your images are at and convert whatever extensions you may have to jpeg. It does say jpeg, but they will be saved as .jpg.
Since this is a Windows only tool, Linux users will have to find a different solution. A quick look around resulted in this solution, based on Imagemagick. I haven't tested this out myself though.
mogrify -format jpg *.png
Crisis averted! All of our images are ready for annotation. Relaunch the BBox Label Tool and check to see if all your training images have been correctly loaded.
Now comes the hard and tedious work: labeling our entire training set. By clicking twice, we can create bounding boxes that should perfectly contain the object we want to detect. The above image illustrates this. Having multiple objects in the same image is no problem, just make sure you label them all correctly.
We will be repeating this step a lot of times, but remember that the quality of your object detection greatly depends on this step. If you go about it too carelessly and indicate the bounding boxes wrong a lot of times (too much margin around the object, cutting pieces off of the object), the detected bounding box will be of poor quality. Do bear in mind, if you want to be able to detect 'partial' objects (when a sign is half covered by something else for instance), you will have to include images in your set that represent this as well. In that case, cutting corners off of some images is a good idea.
Time to put on some good music and start labeling! Once you're done, the main.py script should have created the labels for your images in a folder Labels/000. If you are training multiple custom categories, every category will have its own folder.
We're doing great, but again the non-perfect world is right around the corner. The content of the .txt files is not to the liking of YOLOv2. The left image displays what a .txt label generated by BBox Label Tool contains, the image to the right contains the data as expected by YOLOv2. The difference being that YOLOv2 wants every dimension relative to the dimensions of the image.
BBox Label Tool:
[category number]
[bounding box left X] [bounding box top Y] [bounding box right X] [bounding box bottom Y]
YOLOv2 format: [category number] [object center in X] [object center in Y] [object width in X] [object width in Y]
The conversion between these two formats can be handled by this Python script, written by Guanghan Ning. Just edit Line 34 and Line 35 to configure both in- and output path and we're good to go.
python .\convert.py
Great! We now have a .txt file per image in the training set, telling YOLOv2 where the object we want to detect is at: our data set is completely annotated. Make sure both file types are in the same folder. The below image illustrates how the folder should look like by now:
Ok, we're getting close to the point where our powerhouse GPU can start doing some serious number crunching. Next, we need to tell YOLOv2 what images form our actual training set, and what will serve as test set: the test.txt and train.txt files. I wrote a small process.py Python script that will create these files from the images found in the directory where it is run. The percentage of images to be used for test can be defined by changing the variable percentage_test. I don't have a GitHub repository up for my YOLOv2 experiments yet, so I'll just post the script here for now. The path_data variable indicates where images are located, relative to the darknet.exe executable, edit this as required.
import glob, os
# Current directory
current_dir = os.path.dirname(os.path.abspath(__file__))
# Directory where the data will reside, relative to 'darknet.exe'
path_data = 'data/obj/'
# Percentage of images to be used for the test set
percentage_test = 10;
# Create and/or truncate train.txt and test.txt
file_train = open('train.txt', 'w')
file_test = open('test.txt', 'w')
# Populate train.txt and test.txt
counter = 1
index_test = round(100 / percentage_test)
for pathAndFilename in glob.iglob(os.path.join(current_dir, "*.jpg")):
title, ext = os.path.splitext(os.path.basename(pathAndFilename))
if counter == index_test:
counter = 1
file_test.write(path_data + title + '.jpg' + "\n")
else:
file_train.write(path_data + title + '.jpg' + "\n")
counter = counter + 1
Time to run this script!
python .\process.py
A small excerpt from the train.txt (left) and test.txt (right) files:
Preparing YOLOv2 configuration files
YOLOv2 needs certain specific files to know how and what to train. We'll be creating these three files:
- cfg/obj.data
- cfg/obj.names
- cfg/yolo-obj.cfg
First let's prepare the YOLOv2 .data and .names file. Let's start by creating obj.data and filling it with this content. This basically says that we are training one class, what the train and validation set files are and what file contains the names for the categories we want to detect.
classes= 1
train = train.txt
valid = test.txt
names = obj.names
backup = backup/
The obj.names looks like this, plain and simple. Every new category should be on a new line, its line number should match the category number in the .txt label files we created earlier.
NFPA
A final file we have to prepare (I know, powerful GPU eagerly waiting to start crunching!), is the .cfg file. I just duplicated the yolo-voc.cfg file, and made the following edits:
Line 3: set
batch=64
, this means we will be using 64 images for every training stepLine 4: set
subdivisions=8
, the batch will be divided by 8 to decrease GPU VRAM requirements. If you have a powerful GPU with loads of VRAM, this number can be decreased, or batch could be increased. The training step will throw a CUDA out of memory error so you can adjust accordingly.Line 244: set
classes=1
, the number of categories we want to detectLine 237: set
filters=(classes + 5)*5
in our casefilters=30
To start training, YOLOv2 requires a set of convolutional weights. To make things a little easier, Joseph offers a set that was pre-trained on Imagenet. This conv.23 file can be downloaded (76Mb) from the official YOLOv2 website and provides an excellent starting point. We'll need this file for the next step.
Training
Time for the fun part! Enter the following command into your terminal and watch your GPU do what it does best:
darknet.exe detector train cfg/obj.data cfg/yolo-obj.cfg darknet19_448.conv.23
As you see, we put the yolo-obj.cfg and obj.data files in the cfg folder, to keep things organized. Your terminal should look something like this.
Note: since I am running this on an NVIDIA GTX1080 Ti, I have changed the subdivisions to 4, because .... I can? The GPU has 11GB GDDR5X of VRAM on board and can process big batches of images with ease. A really basic benchmark shows that the algorithm completes one training iteration in under 3 seconds when I have the subdivisions set to 4, as opposed to close to 3.5 seconds with the subidivision set to 8. Having the subdivision as low as your GPU allows will - judging from my very rudimental benchmark - reduce training time.
Edit: all of a sudden, I somehow got a CUDA out of memory error after 110 iterations. Weird ... I changed the subdivisions back to 8 to make sure the training is never interrupted.
A screenshot from the MSI Afterburner tool, showing the GPU under load during training:
AlexeyAB has a very informative description explaining when you should stop training the model. The average loss (error) value (marked bold in the line below) that gets reported after every training iteration should be as low as possible.
2: 2.950644, 15.939886 avg, 0.001000 rate, 2.813000 seconds, 128 images
The YOLOv2 training algorithm is configured this way, that weights are being saved into the backup folder every 100, 200, 300, 400, 500 and eventually every multiple of 1000 iterations. If training ever were to be interrupted, willingly or accidentally, you can continue training from the last saved .weights file like so:
darknet.exe detector train cfg/obj.data cfg/yolo-obj.cfg yolo-obj_2000.weights
After about one hour of training, I reached 1000 iterations and the average loss (error) was found to be 0.082204. Pretty damn fast if you ask me, this is one mighty powerful GPU!
I will definitely train the model for a longer time to achieve an even higher accuracy, but for now will use the yolo-obj_1000.weights file in the results section to see how our model currently performs.
Results
We should now have a .weights file that represents our trained model. Let's use this on some images to see how well it can detect the NFPA 704 'fire diamond' pictogram. This command unleashes YOLOv2 on an image of our choosing:
darknet.exe detector test cfg/obj.data cfg/yolo-obj.cfg yolo-obj1000.weights data/testimage.jpg
I picked some interesting images to showcase the performance of our detection setup. Images that haven't been used in training, we're not cheating here. As you can see, the results are very acceptable as every instance of the NFPA 'fire diamond' in the following images is correctly detected. Great succes!
Conclusion
In this article, we have extensively seen how we can train the very impressive YOLOv2 object detection algorithm to detect custom objects. Everything was tailored to one specific object, but it should be trivial to add more categories and retrain the model for them. The paper accompanying YOLOv2 proves the algorithm can handle over 9000 objects types, so you shouldn't run into a bottleneck any time soon.
There, that's it for today. I will continue to update this article as required, feel free to post any question you may have below. Have fun training!


Lights, Camera, GitHub, Actions: My Favorite GitHub Actions
GitHub Actions allow you to automate some workflows directly on GitHub when code is pushed, at regular intervals or triggered manually. While it takes a bit of setup, the advantages are well worth the time required to get acquainted with this advanced feature of GitHub.
In this post I’ll outline a few of my favorite workflows to pull in new data periodically, format code, run unit tests, … Links to different repos will be included to see the actions in, …, well, action. These are not the most advanced ones, but a simple bit of automation can go a long way in saving some time and energy.
Autoblack - Python code formatting
The package black is the de facto standard for formatting python code. Not only will it point out inconsistencies and mistakes in the code-style, black will correct them. So before committing code in a repo, it is a good idea to run black to make sure the style is A-OK. However, I tend to forget to run it … and while you could set up a pre-commit hook (which needs to be configured on each developer’s system) it is even better to let GitHub run black on all code, and if there are mistakes, fix them and re-commit. No need to install pre-commit hooks locally, or even to remember to run black yourself.
There are plenty of examples out on GitHub how to do this, for a comprehensive overview check out the collection
of workflows from cclaus’ autoback repository. The files I’m using (shown
below) is based off this with little modification. This needs to be saved in a .github/workflows
folder
in the repository and will check all python code pushed to the repo. There are versions that handle pull requests as
well, make sure to check out all files in cclaus’ repo!
 Format Python code with psf/black push"
git push
The workflow here is pretty straightforward, but it takes some time to wrap your head around how this is included in
the yaml file. Each instance of uses:
or run:
will either call an external script or run a specific command.
So this script will:
- Check the repository out using an external action [actions/checkout@v2](https://github.com/stefanzweifel/git-auto-commit-action#checkout-the-correct-branch
- Install Python 3.8 using actions/setup-python@v2
- Install black as you would locally through pip
- Run black to check if there are issues
- If there are, black will throw an error, it will run black and correct the issues + commit the updated code
This is, for me at least, essentially an auto-include for future Python project (except for notebooks, but for these there is nb_black). Simply drop the file in the correct folder and done, easy and automatic formatting for all code.
Unit tests and code coverage
Having a continuous integration (CI) system run unit tests to check if new versions of code are still working as intended is nothing new, though with GitHub Actions you can run it all on GitHub. So use of a third-party solution (like Travis CI) is no longer necessary, and with fewer “moving” parts there is less risk of a workflow breaking. Furthermore, while some external platforms didn’t allow (easily) for testing different parts of code-bases with multiple programming languages, this is now done simply by adding a yaml file for each language.
My own go-to repo for testing new things, MemoBoard has a Python and JavaScript component and unit tests have been implemented for all components. So we can simply add two yaml files to create an environment (either python or node), install all dependencies and run the tests. This will run nicely on both the Python parts as the JavaScript section and if either fails it throws an error.
For the Python part code coverage is also included and reported to codecov.io, there are existing actions for this so including those is a breeze.
# GitHub Action that uses Black to reformat the Python code in an incoming push request.
name: unittest python + codecov
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with: # https://github.com/stefanzweifel/git-auto-commit-action#checkout-the-correct-branch
ref: $
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
architecture: 'x64'
- name: Install requirements
run: pip install -r requirements.txt
- name: Generate Report
run: |
pip install coverage
coverage run run_tests.py
- name: Upload Coverage to Codecov
uses: codecov/codecov-action@v1
The steps to test the JavaScript (JSX and React to be specific) are similar.
# GitHub Action that runs unittests on javascript portion of the code
name: unittest js
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with: # https://github.com/stefanzweifel/git-auto-commit-action#checkout-the-correct-branch
ref: $
- uses: actions/setup-node@v2
with:
node-version: '12'
- name: Install dependencies
run: npm install
- name: Unit test
run: npm test
Building a static website
GitHub has supported Jekyll for docs for a while, you just put the template and data in your repo, and it can build the website from there. However, this is somewhat limited: you can only use a handful of plugins, you can run your own code, and you are limited to Jekyll. Now with a GitHub action you can use any static web generator you like, and rebuild the website and post it to a gh-pages branch from where it can be hosted.
While you probably still would like to be able to build the website locally for testing and development, being able to build a version on GitHub has many advantages. For small changes you no longer need to have all build tools installed. My resume, is a static website generated using Gatsby, and most changes are rather minor (increasing publication statistics or adding a course, publication, …). So by including an action that builds the website in the repo that triggers when new content is pushed, GitHub’s interface can be used to make a small change to a file (e.g. updating the number of citations) and it will rebuild the website on its own. Given this can be done through any browser, this makes it trivial to do minor updates whenever necessary from whichever device available, the only thing required is internet access.
The script to do this can be found below, it will check the code out, install node, install gatsby, the dependencies and dev dependencies, build the website and use an existing script to push the fresh build to the gh-pages branch ( which can be used to host your website through GitHub).
# GitHub Action that builds the website and commits again
name: autobuild
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with: # https://github.com/stefanzweifel/git-auto-commit-action#checkout-the-correct-branch
ref: $
- uses: actions/setup-node@v2
with:
node-version: '14'
- run: npm i -g<EMAIL_ADDRESS>- run: npm install
- run: npm install --only=dev
- run: gatsby build
- name: Deploy to gh-pages
uses: peaceiris/actions-gh-pages@v3
with:
github_token: $
publish_dir: ./public
DeckLock, which can be build through a GitHub action, the goal is to allow everyone with a GitHub account to fork the repo, add their data through GitHub’s interface directly. With some minor configuration the build action will trigger when new data is added and create a personal platform. No need to install Python or mess with the command line to run Pelican.
# GitHub Action that builds the website and commits again
name: autobuild
on: [push, workflow_dispatch]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
with: # https://github.com/stefanzweifel/git-auto-commit-action#checkout-the-correct-branch
ref: $
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
architecture: 'x64'
- run: pip install -r requirements.txt
- run: mkdir -p docs
- name: Run Pelican (build website)
env:
DOK_API_KEY: $
run: make github
A GitHub Action will need to get and install all components to build the website each time it is triggered. This is actually a good check if all those dependencies are still around. While for popular frameworks that might not be much of a concern, for many small generators with less support it is a risk! I recently inherited a website which was generated using a deprecated framework… The tools to rebuild it were no longer around so all existing templates and data had to be converted to something else. If the entire toolchain is reinstalled from scratch each time data is updated, those issue would have been detected early and caught before the became urgent.
Collecting data
One last use case presented here is collecting data through a GitHub Action. As you can trigger an action every hour, day, week, … a script that collects data can be run periodically. There currently is one running hourly tracking the number of registered KeyForge decks here. Setting up the interval is similar to setting up a cron job, hardened linux enthusiasts will know immediately how to use it, others should check out the cron wikipedia page.
The Python script get_keyforge.py
will load the current data, fetch the new number of registered decks from the
website and write the output. This file with additional data will then be committed and pushed.
# This is a basic workflow to help you get started with Actions
name: Update KeyForge Count Hourly
# Controls when the action will run.
on:
schedule:
# execute every hour
- cron: '50 * * * *'
# A workflow run is made up of one or more jobs that can run sequentially or in parallel
jobs:
# This workflow contains a single job called "build"
build:
# The type of runner that the job will run on
runs-on: ubuntu-latest
# Steps represent a sequence of tasks that will be executed as part of the job
steps:
# Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
- uses: actions/checkout@v2
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
# Semantic version range syntax or exact version of a Python version
python-version: '3.8'
# Optional - x64 or x86 architecture, defaults to x64
architecture: 'x64'
# Runs the script
- name: Fetch KeyForge
run: python ./scripts/get_keyforge.py
# Commit and Push new data
- name: Commit and Push files
run: |
git config --local user.email<EMAIL_ADDRESS>git config --local user.name "fetch-keyforge[bot]"
git commit -m "Add changes" -a
git push
One thing to be aware of is that GitHub will run this more or less hourly, it can happen the action triggers later or if the load is high not at all. So for anything which has to trigger exactly every hour on the hour, this isn’t a good solution. For things where it doesn’t matter all that much, it can easily replace a raspberry pi doing this sort of stuff.
Note that in combination with a static website generator this could be a way to have a self-updating dashboard … Perhaps a good idea for a future post …
Conclusion
A few yaml files go a long way when it comes to GitHub actions. Being able to run unit-tests, build static websites, … directly on GitHub without relying on third-party solutions is great. As these are forked along with the code, it makes it trivial for others working on the code to activate them (though you do need to explicitly activate them after forking a repo) and they’ll have everything up and running in seconds.
The best part is that it is free for public repos. For private ones there is a free tier, but beyond that it becomes a paid service. However, for open-source projects it is great and totally worth setting up for your repos!
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About Me
Programmer, Developer, and Freelancer!!
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InstaPyBot
Built With: Python
This is Automation Bot for Unfollow, Follow, Like Post built using Selenium.
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Backend Developer
Technology: MERN, PERN, Backend
I worked on the Dashboard project which helps users track their activities while using Walo Application. I also worked on Ocean Inventory Application and it's Admin panel Backend as well as on Ocean Inventory Admin Front-end using React and also worked on Walo Admin Backend.
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Token
: string
in package
Provides the list of tokens supported by the parser.
Cases
branchData
The coverage data of a branch.
branchesFound
The number of branches found.
branchesHit
The number of branches hit.
endOfRecord
The end of a section.
functionData
The coverage data of a function.
functionName
A function name.
functionsFound
The number of functions found.
functionsHit
The number of functions hit.
lineData
The coverage data of a line.
linesFound
The number of lines found.
linesHit
The number of lines hit.
sourceFile
The path to a source file.
testName
A test name.


A recursive function causes an infinite recursion (run-time error) if:
Do you think if there is no recursive call, we will have a recursive function?
How will the recursive function stop if there is no base case?


"MAHER-SHALAL-HASH-BAZ "plunder speedeth; spoil hasteth, (Isaiah 8:1-3; comp. Zephaniah 1:14), a name Isaiah was commanded first to write in large characters on a tablet, and afterwards to give as a symbolical name to a son that was to be born to him (Isaiah 8:1, 3), as denoting the sudden attack on Damascus and Syria by the Assyrian army.
"MAHER-SHALAL-HASH-BAZ "plunder speedeth; spoil hasteth, (Isaiah 8:1-3; comp. Zephaniah 1:14), a name Isaiah was commanded first to write in large characters on a tablet, and afterwards to give as a symbolical name to a son that was to be born to him (Isaiah 8:1, 3), as denoting the sudden attack on Damascus and Syria by the Assyrian army.


A publication of
Policy Research Institute of Bangladesh
This is sub heading
This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body This is body .


Three jailed as eight newborns die in maternity ward fire
by Agency ReportThree people were sentenced to jail Monday for “negligence” in Algeria after the death of eight newborns two months ago in a fire at a maternity ward, official news agency APS reported.
Seven people were arrested at the end of September in connection to the deadly fire.
On September 24, a blaze ripped through a hospital in the eastern town of Oued Souf, killing eight babies, some from burns and others from smoke inhalation.
On Monday the hospital head and his deputy were sentenced to a year in prison and a fine of 100,000 dinars ($835) for “negligence”, APS said.
The maternity management coordinator, also charged with negligence, was given a six-month suspended sentence with a fine of 50,000 dinars.
Charges of “involuntary homicide” and “misappropriation of public funds were dropped”, the agency added.
The four others accused, including a Cuban nurse, were acquitted.
It was the second blaze to hit the maternity hospital in Oued Souf in 16 months. A fire in May last year caused significant damage but no casualties.
(AFP)


OVERVIEW
{{ organization_record.name }}
{{ organization_record.phone }}
{{ organization_record.email }}
{% if organization_record.address.address_line or organization_record.address.street or organization_record.address.city or organization_record.address.state or organization_record.address.postcode or organization_record.address.country %}
{% if organization_record.address.address_line %}
Address Line:{{organization_record.address.address_line}}
{% endif %}
{% if organization_record.address.street %}
Street:{{ organization_record.address.street }}
{% endif %}
{% if organization_record.address.city %}
City: {{ organization_record.address.city }}
{% endif %}
{% if organization_record.address.state %}
State:{{ organization_record.address.state }}
{% endif %}
{% if organization_record.address.postcode %}
Post Code:{{ organization_record.address.postcode }}
{% endif %}
{% if organization_record.address.country %}
Country: {{ organization_record.address.get_country_display }}
{% endif %}
{% endif %}
{% if organization_record.description %}
{{ organization_record.description }}
{% endif %}
COMMENTS
-
{% for comment in comments %}
-
{{ comment.commented_by }} Commented
{{ comment.comment }}
{{ comment.commented_on }}
{% endfor %}
Label
{%if not organization_record.assigned_to %}
Not Assigned Yet
{% else %}
{% for user in organization_record.assigned_to.all %}
{{ user }}
{% endfor %}
{% endif %}
{%if not organization_record.teams %}
Not Assigned Yet
{% else %}
{% for team in organization_record.teams.all %}
{{ team }}
{% endfor %}
{% endif %}
{{ organization_record.created_on }}
{{ organization_record.created_by }}


Open Phone Manager, and use the following functions to block messages, calls, and notifications.
- Harassment filter: Set a blacklist to block unwanted messages and calls.
- Notification manager: Block unwanted push notifications.
- Do not disturb: Touch to turn on this mode. In do not disturb mode, your phone will ring only when you receive calls from allowed contacts. Other calls will be rejected, and the message tone and other notification tones will be muted.


{% extends "home/base.html" %} {% load static %} {% block content %}
Fill in these fields for user registration before uploading the simulation.
For more information on this form, see the docs.


MTA 98-382 Exam Prep
Complete or debug code that uses assignment and arithmetic operators
assignment;
decrement;
increment;
addition;
subtraction;
division;
multiplication;
modulus;
compound assignment operators;


[1]
however we noticed the quake and having been closed and the area.
[2]
whilst the as opposed to a more touristy hotel in jigokudai or toya.