At ILS, we have recruited thousands of outstanding high school sophomores to attend our free, three-day leadership seminar. As a counselor, you start that recruitment process! Here is some basic information regarding the Illinois Leadership Seminar:
For over 30 years we have been unleashing the leadership potential of Illinois youth. ILS is an opportunity for students to be around other outstanding leaders their own age. Sometimes, students are nervous about attending a seminar where they don’t know anyone, but to us, that’s the best part! ILS is a fresh start. There’s no pressure from your peers to be anything or conform to any mold. That’s just one of the many unique things about ILS. Students get to explore their own leadership potential away from their home comfort zone.
Our message to students is simple.
Counselors all over the state love sending students to ILS not only for the rave reviews they receive upon the student’s return, but because they see a REAL change in the students they have nominated over the years after attending our program. It’s an awesome feeling to know that YOU helped a young person find confidence in their own leadership abilities and we are eternally grateful to our outstanding counselors who send us extraordinary students year after year.
The 2017 Illinois Leadership Seminar will take place June 9, 10, and 11 (Friday, Saturday, and Sunday) at North Park University in Chicago, IL on the north side.
Yes, your student must be at North Park University from Check-In early Friday morning until the Closing Ceremony on Sunday afternoon. We cannot allow students to arrive late, leave and come back, or leave early for any reason. Sponsors have paid for each student to attend ILS in its entirety and we ask that each student honor that sponsorship by fully committing to the weekend.
We recognize that while a majority of schools are finished with the semester and on summer break, some schools in Illinois are still in session or taking finals during our seminar. We understand the conflict, however, we ask that students reschedule their final(s) and/or get an excused absence for Friday, June 3, the first day of our seminar.
We leave the choice of who to pick for our seminar, and how to pick them entirely up to the counselor, so long as the student selected is currently in their sophomore year of high school (they will attend ILS during the summer between their sophomore and junior year). Counselors utilize a variety of different selection methods including essay contests, faculty vote, and if one student stands out right away, it’s perfectly acceptable to hand pick a student without a formal evaluation. Sometimes it is even helpful to have students who have attended our seminar in the past recommend a sophomore. After all, they have been through the program and know what we are looking for, too. Past leaders have excelled academically, in athletics, in co-curricular activities, or in community service. Despite the fact that our seminar attracts high caliber students, we’re not necessarily looking for students with the perfect leadership resume. Leadership potential is the common denominator at ILS and sometimes the students who get the most out of our seminar have that leadership potential hidden down a little bit deeper than their peers. Please look for an exceptional student who you believe represents the potential of your student body.
Download and print our student nomination form. Please give this form to your selected student and explain that they have been chosen to represent your school at ILS. This form instructs students to go to our website and read through the entire “Students” tab when they get home. Parents are also encouraged to read through the “Parents” tab. Each tab has information geared towards a specific audience, much like this tab is geared towards counselors. After each student has read through all the information on the “Students” tab and has discussed attending ILS 2017 with his or her parents, they are instructed to fill out the bottom of the form accurately and turn it back in to you so you can nominate them online.
Do not login to our system until the student has completed this form on their own and you have it with you. We understand that most schools have a data base of student contact information that you can pull from when nominating a student. However, we need the student to verify that their information is up to date and accurate, especially their email address and phone number. Many students now have school issued email addresses, but we insist on having an email addresses for both our students and parents that are frequently checked since email will be our primary means of communication with our nominated students and parents into the summer. Be sure your student has their nomination form filled out completely and accurately before you begin their nomination online.
After you have read through this entire page, you can use the link at the top of the page to login to our system and complete your nomination. Instructions on how to nominate your student, along with the School ID and Passcode you need to login, is provided in your individualized nomination email. All the school contacts in our system will receive the nomination email in mid-November when we officially open nomination. If mid-November has passed and you have not received this email, please contact our Recruitment Director, Amber Dalgaard, at<EMAIL_ADDRESS>We will promptly send you all the information you need.
ILS is filled on a first come, first served basis. Students will still have a deadline to complete their registration after they have been nominated. We have room for 110 students at our seminar. In mid-November we will open nomination and nomination instruction emails will be sent out to all counselors in our system. We expect to be full in one month. Our seminar is very popular and a lot of schools want to send students to ILS. To be safe, we recommend you begin your school’s selection process now, especially if your school has an essay contest or another form of selection that may take longer. Nomination will be closed as soon as 110 schools have nominated a student, no exceptions. There will be a nomination counter at the top of this page (updated bi-weekly) that lets you know how many spots are left. We encourage you to submit your nomination before the holiday break.
If seminar is full by the time you have selected your student, you can email our Recruitment Director and request a spot on the waiting list. If a spot opens up later, we will contact you and allow you to nominate your student. Please do this if we are full! Our nomination numbers are completely dependent on finances and if fundraising goes better than expected, our Corporate Board may authorize us to invite more students. Also, some nominated students may not complete their registration online by their deadline. In that case, we will also draw from schools on our waiting list to fill their spots. Your school cannot be selected in these situations if you do not email us and request a spot on the waiting list.
Once a student has been nominated, it is the student’s responsibility to sit down with their parents and/or legal guardians at home to register for our seminar. Students will receive a personalized email with instructions on how to register online for our seminar. These emails should be sent out once a week beginning in January. We will inform each counselor when their student has received their registration email.
We understand that some students may be nominated for some time before they can register, but we are waiting to focus on registration until we have most of our nominations in. All information obtained during the registration process will remain confidential. We need to have accurate medical information on file for the safety of our participants and staff.
Students must complete their registration within two weeks of receiving their registration email. If the deadline has passed, and your student has not completed registration, your school’s spot at seminar will be forfeited to another school on the waiting list.
Please follow up with your student and make sure they have registered for ILS. We really appreciate all you do and while it is not your responsibility to register the student, sometimes students forget and a little nudge never hurt. We don’t want your school’s spot at ILS forfeited because a student forgot to register on time.
Nominating an alternate student in the event your primary selection cannot attend is a good idea, but it is completely optional. You do not have to nominate an alternate if you do not want to. Remember, only one sophomore student from each high school is eligible to attend ILS. We would reach out to the alternate student in the event that the primary student has already registered and cannot attend seminar because of a conflict or family emergency. We will set a “reply by” date for each alternate on a case by case basis depending on how close we are to seminar. If they do not respond to us in time, we will offer that spot to a school on the waiting list. If your primary student fails to register by the deadline, this automatically disqualifies your school from participation in the 2017 Illinois Leadership Seminar. In that case, we would not offer your primary student’s spot to your alternate. Instead, we would draw from our waiting list of schools that did not get a chance to nominate before we were full. This is another reason to be certain your primary student plans on registering and attending seminar.
Follow the same process (with the nomination form) for your alternate student, but be sure to inform them that they are the alternate and will only be attending if your primary student is unable to attend. When you have completed the nomination for your primary student in our system simply click the link at the bottom of the screen and add your alternate attendee.
Students are pre-divided into groups of 8-10 leaders. The group is led by one Senior Coach who is assisted by two alumni of the seminar, Junior Coaches. During the weekend students will have an opportunity to interact with other students from all groups. As for the actual content and schedule, we are purposefully vague. We have found that our leaders have a better experience if they don’t know what is coming next. If you have specific questions, you can contact our Recruitment Director, Amber Dalgaard, at<EMAIL_ADDRESS>We challenge our students to share their own thoughts and ideas about issues facing their schools, their communities, and our world. The program is not designed to teach students what to think, or even how to think, but rather to emphasize the importance of critical thinking skills in leadership roles.
Only current sophomores can be nominated for our seminar. Therefore, they will attend seminar in June between their sophomore and junior years. We feel that the transition from underclassmen to upperclassmen is an underrated transition and the perfect time to reach young student leaders.
Absolutely. We work very hard all year long to make sure that no student has to pay to attend the Illinois Leadership Seminar. All meals (beginning with lunch on Friday), housing, and overhead has been paid for. Sponsors include GFWCs (Women’s Clubs), Gallup Inc., and alumni of the seminar itself. Schools, parents, and students incur no costs with the exception of transportation to and from our seminar site.
We only allow each high school to send one student to our seminar each year. This ensures that we have a diverse group of students from all over the state and that we are able to offer the seminar to a larger number of high schools. We have found that students are also more willing to explore their own leadership potential if they don’t know any other students prior to attending. You may nominate an alternate in case your primary student cannot attend at the last minute.
Please forward the information on to someone who would be best to pick an outstanding high school sophomore from your school for a free leadership seminar. You can reply and let us know who the correct contact should be and we will update our system. Normally school counselors are responsible for selecting and nominating our students because they are exposed to the widest variety of students, but we have teachers and administrators who nominate students as well.
Please look again! Often, students need an extra nudge to commit to stepping out of their comfort zone. Other students may be unsure of what the program entails, worried that they don’t know anyone else attending, etc. If you don’t have a volunteer for ILS, select a student who you think would benefit. EVERY high school in Illinois has a sophomore student with leadership potential. Let them know it is an honor to be chosen! Have past ILS alumni talk to the students, encourage them, and please let us know if you have any additional questions!


Seidl says budget cap will help but won't solve F1's issues
by Adam NewtonMcLaren technical director Andreas Seidl says that the budget cap will help even out the difference between the top and bottom teams, but it won't do everything to solve F1's current problems. Liberty Media introduced the $175m budget for 2021 when they revealed the new regulations a few weeks back.
Teams will only have $175 million to spend on their cars in 2021, with the aim to make F1 more competitive in the near future.
According to Crash.net, Seidl said that the budget cap will not solve every problem, mentioning that the top teams are simply better run than the smaller teams, and that the gap is not just down to money.
He said: “The big teams are not just there because of having more money they simply do a better job compared to us. The budget gap is important as it’s the only chance to have a level playing field in the future. For sure it will take time before the budget cap washes out.
“It’s not a secret we’re in favour of the regulations, we supported FIA and FOM a lot, it’s the next important milestone on our way back, in terms of let’s say getting a head start by putting more resources in 2020 for the big three teams.
"As I said before they do a better job now so they will do a better job in 2020, which gives them an automatic head start."


Combinations without Replacement
Algorithm for Generating Combinations without Replacement
The algorithm this article is based around is nearly trivial, but it was something that tripped me up for a long time. Thus, I feel compelled to write an article, but I also feel compelled to make it short (well, relatively speaking).
If you want a brief, but more technical overview, be sure to check out the associated YouTube video! The simple algorithm and boring, abstract problem belie the much more widely applicable nature of the generalized problem.
The Problem
Sometimes you have a collection of things, and you want to select each of the things from the collection, one at a time, in some random order. You don't want to take the same element twice, however. How do you end up handling this in an effective way?
The Easy Soltion
One easy way to approach this problem is to simpy remove each element from the collection as you come across them, but which data structure would you use to do this?
You could use a resizable array, but each time you remove an element on average n/2 elements will need to be "shuffled down" in order to ensure the array is contiguous. This can be an actual serious problem even on modern computers in many cases.
You could use a linked list, but then you'd have to transverse, on average, n/2 elements on average every iteration to find the item to remove.
A hash table might be suitable, but there's a good chance your data isn't in this format already, and you have to deal with the potentially substantial overheads associated with this.
The Good Solution
It turns out that there is a really simple solution to this problem which has nearly no drawbacks with respect to performance or memeory. It works like this:
- Manually maintain an index into the array
- Randomly (or however) select an element
- Swap this element with the last one in the array
- Decrement the index
- Return array[index]
Analysis
Should you use this algorithm? I recently used it in a small program I wrote for finding scalping opportunities in the video game Eve Online. But should I have? This is a much harder question to answer.
This algorithm is dead simple
The thing that strikes me the most about this algorithm is that it is insanely simple. Simply removing the selected element from the list is nearly as difficult! In fact, there is a commonly used C++ idiom, "swap and pop", which leverages this exact same mechanic for nearly the same reason.
In today's world, this would usually be considered a vomit inducing micro-optimization
Most application programmers live in a world of immutable/persistent data structures and defensive copying. The idea that an algorithm like this would ever see use in general is probably laughable to most programmers. In particular, the program that I wrote would select an item at most once every 30 seconds. Is this sort of optimization needed at all? Obviously not.
Luckily, in my own side projects I get to do whatever I want!
Again, be sure to check out the associated YouTube video if you can stand it. This algorithm address one solution to a larger class of problems which you probably encounter on a daily basis.


Trainable end-to-end speech synthesis system using recurrent neural networks
TTSCube can be trained on raw text, making it somewhat language-independent. We hope to provide as many pretrained models as possible, but we are limited by hardware availability
TTSCube does not require pre aligned data or any text-processing. It learns prosody and accoustic models just by looking at text. It is only recommended that the input data is normalized, numbers, abbreviations and achronyms being expanded into their spoken form.
TTSCube is opensource and we are actively looking for contributors and developers. If you want to join, just contact us on github and we will gladly add you to the repository
"Arată că interesul utilizatorilor de internet față de acțiuni ecologiste de genul Earth Hour este unul extrem de ridicat."
"Pentru a contracara proiectul, Rusia a demarat un proiect concurent, South Stream, în care a încercat să atragă inclusiv o parte dintre partenerii Nabucco."
Note: The mel-spectrum is computed with a frame-shift of 12.5ms. This means that Griffin-Lim reconstruction produces sloppy results at most (regardless on the number of iterations)
| Original | Vocoder |
The encoder model is still converging, so right now the examples are still of low quality. We will update the files as soon as we have a stable Encoder model.
| Original | Synthesized (TTS-Cube) | HTS |
| FAILED | ||
TTS-Cube is based on concepts described in Tacotron (1 and 2), Char2Wav and WaveRNN, but it's architecture does not stick to the exact recipes:


Mobile Styled
Designed to fall down from the top of the screen, these support multiple colors icons and links.
Check out Alert Styled Notifications
Tap or Programatic
We built notifications based on Boostrap toast system, so you can trigger them via a tap
or programatically by simply using the Boostrap classic code.
var toastID = document.getElementById('toast-1');
toastID = new bootstrap.Toast(toastID);
toastID.show();
Enabled
All Good
I'm a notification. I show at the top or bottom of the page.
All Good
19:24
I'm a notification. I show at the top of the page.
Hangouts
Messenger
John Doe
I'm a notification. I show at the top of the page.
We always listen to your feedback, so we added Boostrap to our items. Just as fast as before, only now, with code you are familiar with slightly upgraded for maximum performance!
This notification will adapt to the bg-highlight you select for the page.
All Good
We always listen to your feedback, so we added Boostrap to our items. Just as fast as before, only now, with code you are familiar with slightly upgraded for maximum performance!


Welcome to Lynn + Mick's Private Island Resort
A Place to Recharge Your Life
Learn more about our great resort
Accommodations
Activities
Travel Arrangements
Pictures
Contact Information


hcitool
Monitor, configure connections, and send special commands to Bluetooth devices.
More information: home page
- Scan for Bluetooth devices:
hcitool scan
- Output the name of a device, returning its MAC address:
hcitool name bdaddr
- Fetch information about a remote Bluetooth device:
hcitool info bdaddr
- Check the link quality to a Bluetooth device:
hcitool lq bdaddr
- Modify the transmit power level:
hcitool tpl bdaddr 0|1
- Display the link policy:
hcitool lp
- Request authentication with a specific device:
hcitool auth bdaddr
- Display local devices:
hcitool dev


Scala Bincode Deserializer
OVERVIEW
At my previous work a colleague of mine was working on making a pipeline to ingest our files, which were output in the bincode format, into a spark based system. There were large performance constraints since, in order to do so in the fastest time frame, the files had to be converted to JSON which a dataframe could read. This worked find for smaller data loads (~2TB), but as the load went larger and larger (~5TB) there were performance constraints. Although I did this project after I left the company, it was a good project to improve my scala skills.
Bincode->Json->Scala Object. This one was obviously the slowest as reading in the bincode and outputting the json was the bottleneck. The deserialization speed of a json deserializer would never beat the time it took to convert the record formats.
Json->Scala Object. Jackson was the json deserializer of choice for this benchmark. You can do a lot more deserializing this way (using parallel iterators), but in terms of just raw deserialization jackson was very slightly slower for the low record tests I was able to run.
Bincode->Scala Object. Using the deserializer I replicated the format of the rust struct and plugged the bincode directly into the scala deserializer. The deserialization time was overall faster, however without the parallel iterator optimizations it was not.
Of course I ran into the many pitfalls of performance testing; using different iterators (one optimized for parallel string reading), abusing caching, etc. However after small scale test runs the two methods appear the same, with the native bincode reader beating out the json one. Due to machine limitations I have not been able to benchmark large records sizes (larger than 10,000), however I would like to so I can get a more definitive answer.
Implementation
I wanted to stay as faithful as possible to the way the deserialization was done in rust, so I made the library similar to the serde framework. Implementing custom deserializers was always a bit complicated in rust so I simplified it heavily; there are all the functions necessary to deserialize primitive types and traits set up to deserialize more complex types (maps, structs, enums, etc).To ensure that the way the scala code was reading conformed to what rust was writing I made a test application in rust to output records in bincode, then read them in from scala. After some initial tweaks (endianness issues as always) I was able to get the same records in rust and scala.
Performance
Performance benchmarks were run using Openjdk's jmh performance testing harness. Using the scala plugin and sbt I benchmarked the various different ways the records could have been ingested:


Accoridng to TIOBE index, Python is the 4th most popular language. Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks.
The simple syntax rules of the programming language makes it easy for beginners to keep the code readable and application maintainable. Python supports object oriented and structured programming and also support various concepts in functional and aspect-oriented programming. The programming paradigms and language features ease the process of developing large and complex software applications.
As an open source programming language, Python helps curtail software development cost significantly. You can use several open source Python frameworks, libraries and development tools to curtail development time without increasing development cost. You even have option to choose from a wide range of open source Python frameworks and development tools according to your precise needs.
As a dynamically typed language, Python is really flexible. This means there are no hard rules on how to build features, and you'll have more flexibility solving problems using different methods. Furthermore, Python is forgiving of errors so you'll still be able to compile and run your program until you hit the problematic part...
Atlhough Python is easy to use, forgiving in errors, and has all the libraries you can imagine, it does have some limitations. As an interpreted language, it is slower than other langugages (Java,C#) and it's not well supported for mobile development.
Pyhthon is a language you should be learning. It's a simple, approachable, versatile and complete language thats chosen by the best companies such as Google, Facebook, and Microsoft. It's a fast growing language and loved by developers. Python is not a perfect fit for all projects but it is a good choice for many cases.
{% endblock %}


| add_predictions | Add predictions to a data frame |
| add_predictors | Add predictors to a formula |
| add_residuals | Add residuals to a data frame |
| bootstrap | Generate 'n' bootstrap replicates. |
| crossv_kfold | Generate test-training pairs for cross-validation |
| crossv_loo | Generate test-training pairs for cross-validation |
| crossv_mc | Generate test-training pairs for cross-validation |
| data_grid | Generate a data grid. |
| fit_with | Fit a list of formulas |
| formulae | Create a list of formulas |
| formulas | Create a list of formulas |
| gather_predictions | Add predictions to a data frame |
| gather_residuals | Add residuals to a data frame |
| geom_ref_line | Add a reference line (ggplot2). |
| heights | Height and income data. |
| mae | Compute model quality for a given dataset |
| mape | Compute model quality for a given dataset |
| model-quality | Compute model quality for a given dataset |
| model_matrix | Construct a design matrix |
| mse | Compute model quality for a given dataset |
| na.warn | Handle missing values with a warning |
| permute | Generate 'n' permutation replicates. |
| permute_ | Generate 'n' permutation replicates. |
| qae | Compute model quality for a given dataset |
| resample | A "lazy" resample. |
| resample_bootstrap | Generate a boostrap replicate |
| resample_partition | Generate an exclusive partitioning of a data frame |
| resample_permutation | Create a resampled permutation of a data frame |
| rmse | Compute model quality for a given dataset |
| rsae | Compute model quality for a given dataset |
| rsquare | Compute model quality for a given dataset |
| seq_range | Generate a sequence over the range of a vector |
| sim | Simple simulated datasets |
| sim1 | Simple simulated datasets |
| sim2 | Simple simulated datasets |
| sim3 | Simple simulated datasets |
| sim4 | Simple simulated datasets |
| spread_predictions | Add predictions to a data frame |
| spread_residuals | Add residuals to a data frame |
| typical | Find the typical value |


;|
OP_KWordPrompt_1.1.lsp
Version History
1.1 April 8, 2016 Reviesed to include implode subroutine
1.0 2005 Initial Release
Request string input from user.
Dependencies: none
Usage: (op:KWordPrompt lTypes sPrompt iDefault)
Arguments: lTypes <List> keyword strings
sPrompt <String> prefix for user prompt
iDefault <Integer> represents default keyword, starting at 1
Returns: string of user specified keyword
Copyright © 2005-2016 by Richard Lawrence
Written permission must be obtained to copy, modify, and distribute
this software. Permission to use this software for any purpose and
without fee is hereby granted, provided that the above copyright
notice appears in all copies and that both the copyright notice and
the limited warranty and restricted rights notice below appear in
all supporting documentation.
  THERE IS NO WARRANTY THAT THE OPERATION OF THE
PROGRAM WILL BE UNINTERRUPTED OR ERROR FREE. USAGE OF THIS PROGRAM
IS AT YOUR OWN RISK.
|;
(defun op:KWordPrompt (lTypes sPrompt iDefault / X $TYPES $TYPES2)
(defun op:implode (data delim / str n)
;; Join list items into string with delimiter string
(if (and (= (type data) 'LIST)
(= (type delim) 'STR)
(> (strlen delim) 0)
)
(foreach n data
(if str
(setq str (strcat str delim n))
(setq str n)
)
)
)
)
(if (or (>= iDefault (length lTypes))
(<= iDefault 0)
)
;; Error check to verify the default
;; integer is within parameters
(setq iDefault (1- (length lTypes)))
(setq iDefault (1- iDefault))
)
(initget (op:implode lTypes " "))
;; sets the initget values
(setq X (getkword
(strcat "\n"
sPrompt
" ["
(op:implode lTypes "/")
"] <"
(nth iDEFAULT lTypes)
">: "
)
)
)
;; prompts user for selection
(if (not X)
(setq X (nth idefault lTYPES))
)
X
)
Select allDownload


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_Engine_structs.hpp>
Public Attributes | |
| unsigned char | UnknownData00 [0x8] |
| EAttenuationDistanceModel | DistanceAlgorithm |
| TEnumAsByte< EAttenuationShape > | AttenuationShape |
| unsigned char | UnknownData01 [0x2] |
| float | dBAttenuationAtMax |
| struct FVector | AttenuationShapeExtents |
| float | ConeOffset |
| float | FalloffDistance |
| unsigned char | UnknownData02 [0x4] |
| struct FRuntimeFloatCurve | CustomAttenuationCurve |
| TEnumAsByte<EAttenuationShape> AttenuationShape |
| struct FVector AttenuationShapeExtents |
| float ConeOffset |
| struct FRuntimeFloatCurve CustomAttenuationCurve |
| float dBAttenuationAtMax |
| EAttenuationDistanceModel DistanceAlgorithm |
| float FalloffDistance |
| unsigned char UnknownData00[0x8] |
| unsigned char UnknownData01[0x2] |
| unsigned char UnknownData02[0x4] |


{{ activities }}
{{ addactivities }}
{{ files }}
Activities
Some content.
Add Activities
Some content.
Files
Some content.


{% load cache %} {% cache 3600 slider %} {% load static %}
Produce and supply various Handicraft items all over the world which were very attractive
Produce and supply various Handicraft items all over the world which were very attractive
Handicraft and supply various items all over the world which were very attractive


Covid-19 Estimator
Populaion
Time To Elapse
Reported Cases
Total Hospital Beds
Period Type
days
weeks
months
Estimate


--- layout: default nav: attributes > ic-indicator ---
ic-indicator
- The Indicator AttributeThe indicator attribute can be used to show an indicator while a request is in process.
The value of the attribute should be a valid selector of the indicator element to show
You can also use the ic-indicator
CSS class on elements within an element
to specify an indicator.
This attribute may be placed on parent elements, allowing you to specify behavior across multiple elements.
Normally request indicators are show via the $.show()
function. If you wish to use a CSS
transition instead, you can add the ic-use-transition
class to the indicator instead. If
this class is on the indicator, it will be removed while a request is in flight and then
readded when the request is over.
Here is a simple example of an indicator next to a button:
<button ic-post-to="/target_url" ic-indicator="#indicator"> Click Me! </button>
Here is a simple example of an indicator next to a button that uses a CSS transition:
<button ic-post-to="/target_url" ic-indicator="#indicator"> Click Me! </button>


Vote{X} is a procedure for trustworthy, expressive voting.
✓ Rate each option.
✓ Verify each vote.
Elections should be simple,
verifiable, and empowering.
Download a simple write-in form.
Berkeley, California
· email ·  reddit ·  github ·


Finally, a complete, interactive college guide that fits in the palm of your hand, built from the ground up to ensure that you have total control of your research. Display, hide or sort a treasure trove of the latest data on more than 600 colleges. Even build a spreadsheet in-app that otherwise would take weeks to complete. Here is just some of the information at your fingertips for each school:
With advanced filter and sort options, you can narrow the field of colleges you browse by exactly the criteria you choose, or just add some colleges to your Favorites. With quick-search functionality, it’s always easy to jump to a school.
Select the colleges you want to compare and, presto, you’ve built a powerful spreadsheet that would have taken weeks to compile the old-fashioned way.
Save slices of information from each college and organize them for quick and easy viewing later by simply pressing and swiping.
Check out the neighborhood and even get directions to campus without lifting a thumb.


Contact Me
First Name
Last Name
Email
Message (Feel free to give feedback about my website)
To check sent messages click here: (Emails are not shown)
Check Messages


Keyword mining tool
Extract keywords from a text or a web page.
How it works
The algorithm extracts all nominal groups (candidate keywords) from the text and, for each one, attributes a score based on multiple parameters including the number of occurrences.
The final list of keywords is composed of best-scored candidates.
Note
For the moment, this tool works only for English and French content.
How it works
The algorithm extracts all nominal groups (candidate keywords) from the text and, for each one, attributes a score based on multiple parameters including the number of occurrences.
The final list of keywords is composed of best-scored candidates.
Note
For the moment, this tool works only for English and French content.


Class ScriptPathResolver
ScriptPathResolver
Namespace: Native5\UI
Package: Native5\UI
Category: Filters
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
Located at Native5/UI/ScriptPathResolver.php
Package: Native5\UI
Category: Filters
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
Located at Native5/UI/ScriptPathResolver.php
Methods summary
public static
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public static
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Description
-
The all-in-one utility for managing your already added Cydia and Sileo sources in Arabic.
-
Run
sourceutility
orالخدمات
in MobileTerminal, NewTerm2, or over SSH to get started. -
Backups now include a restore script packaged in. This means you can now share backups with other people. Just run the restore.sh script to restore your sources.
-
If you are having any issues with this tool run
sourceutility -t
orالخدمات
and send me the file at/sourceutility/sourceutility-diag.log
.
Simple Select Menu (Screenshot from v0.8)
Compatibility
-
Supports iOS 11 and newer
Dependencies
-
findutils
-
curl
-
rsync
-
grep
-
gawk
-
zip, unzip
Conflicts
-
xyz.skylarmccauley.sourcebackup
-
xyz.skylarmccauley.sourceutility (<=0.6)
Known Issues
- No known issues. Report issues using the contact info below.
Report Issues to
-<EMAIL_ADDRESS>- Skylar#5039 (Discord)
In this version
-
May 4, 2019
<IP_ADDRESS>
- Fixed a potential bug with backing up Cydia sources
0.8.3
- Small bug fixes
- Added diagnostic test for users having issues
-
May 3, 2019
0.8.2
- Fixed issues with installation and updating bundled resources
- Resources are now downloaded upon installation
0.8.1
- Added compatibility with Chimera
- Updated Bundled Resources to v1.0.1
- Added Chimera/Electra detection when running Sileo Patch, Cydia Patch, Reinstall Cydia, Backup Cydia, and Restore Cydia
Previous Releases
-
April 28, 2019
0.8
- Restore scripts refined for compatibility
- Electra detection added for compatibility
- Refined downloading
- Restore scripts now bundled
- Added option to update bundled resources
-
April 12 - 16, 2019
0.7
- Added support for Zebra
- Added support for unc0ver dark and Misceo
- General improvements to overall experience
- Took a break
- Backups now include a restore script downloaded from GitHub
- Added gawk and grep as a dependency
- sourceutility-legacy removed
-
0.6
- Improved compatibility with different types of jailbreaks
- New menus added
- Can now choose whether to backup/restore Cydia backups, Sileo backups, or both
- Each backup option generates a different file (they cannot be converted)
- Added option to patch Sileo Sources
- Added rsync as a dependency
- Last update to include sourceutility-legacy
-
0.5
- Improved how the Cydia patching works after restoring a backup
- After restoring a backup, the user will be prompted to reinstall Cydia
- After reinstalling Cydia, the user will be prompted to run Diatrus's Cydia Patch from installsileo (installsileo not included)
- Now depends on curl for reinstalling Cydia (downloads from apt.bingner.com)
- Added new menus
- Patches Menu includes options such as Reinstalling Cydia, Killing Sileo, and running the Cydia Patch
- Changed firmware dependency to iOS 11 and above (this may be changed in a future update)
-
0.4-X
- Added some small improvements to the menus
- Added option to kill Cydia and Sileo
- Sileo and Cydia are now killed when attempting to restore or make a backup
- Added a patch that fixes Cydia after a restore. (From Diatrus' Sileo Installer for unc0ver).
- After restoring a backup, users will be prompted to run installsileo to fix some small issues
- Rewrote how backups are made and restored. Old backups are now incompatible
- Readded ability to restore Cydia sources
- Now compatible with source lists installed to /etc/apt/sources.list.d/
- All backups made with versions prior to v0.4 MUST be converted
- General improvements to how some things work
-
0.3-X
- Adjusted Select Menus for notched devices
- Added Utilities Menu
- Cleaned up the menus some more
- Added option to purge Cydia Lists & Sources (left over from debugging)
- Renamed Utilities Menu to Other Utilities Menu
- Added a reboot option in the Other Utilities Menu
- Added some red text here and there so you know which options are dangerous
-
0.2-X
- Fixed a syntax error
- Fixed issues with .DS_STORE files
- Added option to purge .DS_STORE files from previous version
- Backup your Cydia and Sileo sources.
- Restore your Cydia and Sileo source backups.


Main Settings
Number of Shapes
Margin (px)
Random controls
Main controls
Toggle controls
Click effect ?
×
Main Settings
×
Actions Saved


Ruby: Arrays and Hashes
All my dogs
August 16, 2015
My dogs
I have had four dogs in my life: my current dog, Sophie; the dog my mom got while I was in law school, Tobey; the dog I had for the longest while growing up, Jesse; and Nick, who was around when I was a toddler. Sophie is part black lab mixed with something (ok, I admit it, I know because we ran a DNA test: whippet). Tobey and Jesse were golden retrievers. From what I have been told, Nick was a real devil of a mutt (sweet dog, but he ran away a lot and almost chewed through our back door). I could arrange my dogs in various ways using ruby. If I wanted to just list out their names, I could use a simple array. Think of an array as just another name for a list. Each item in the array-list is separated by a comma, and the whole list is encapsulated with square brackets. You can put anything into an array (numbers, strings, other arrays, etc.), but since we are talking about my dogs, we are going to make the my_dogs_array an array of dog names:
my_dogs_array = ["Sophie", "Tobey", "Jesse", "Nick"]
That's a nice list, but it doesn't really tell us anything other than the names of my dogs. What if you wanted to know what breed they are? We could use a hash, which is like a list of pairs. One member of the pair is a key, and the other member of the pair is the value that the key points to.  Each cage has a name tag with the name of the dog (the key) and in each cage is a certain breed of dog (the value). The cages are lined up in a row, in a room between two walls (the walls are curly braces in a hash). Here are my dogs and their breeds as a hash:
my_dogs_hash = {"Sophie" => "lab mix", "Tobey" => "golden retriever", "Jesse" => "golden retriever", "Nick" => "devil mutt"} # You can use colons instead of those arrow looking things (hash rockets), like "Sophie": "lab mix"
In a hash, there can only be one of each key (I can't have more than one Sophie--I mean, I guess in real life I could have two dogs named Sophie, but they wouldn't be clones of each other), but different keys can have the same value. It is perfectly ok that both Tobey and Jesse are golden retrievers, for example.
Call the dogs
So now we know what an array is, and what a hash is, but what if we want to get one piece of information out of the array or the hash? What if we don't want the whole list of names (in the case of an array) or list of key/value pairs (in the case of a hash)? We can call the dogs by their number in line for the array (called an index number) or, in the case of a hash, by the name of the key (in this case, literally the dog's name), as follows:
my_dogs_array[0] # Each item in an array is numbered left to right and starts with 0
=> "Sophie"
my_dogs_array[2] # Remember, starts with 0, so while Jesse is actually the third dog in the array, her index number for purposes of the array is 2
=> "Jesse"
my_dogs_hash["Tobey"]
=> "golden retriever"
my_dogs_hash["Nick"]
=> "devil mutt"
Mixing it up: Arrays and Hashes
What if you wanted to know even more about my dogs? The my_dogs_hash only returns one value (the breed) for each key (the dog's name). What if you wanted to know something else about the dog, like its personality? We can have each key return more than one value by making the value an array, like so:
my_dogs_super_hash = {"Sophie" => ["lab mix", "great with kids"], "Tobey" => ["golden retriever", "gentle giant"], "Jesse" => ["golden retriever", "afraid of thunderstorms"], "Nick" => ["devil mutt", "nuts"]}
my_dogs_super_hash["Jesse"]
=> ["golden retriever", "afraid of thunderstorms"]
As you can see above, when we call the key "Jesse" from the my_dogs_super_hash, the value we get is an array which includes both that Jesse was a golden retriever and that she was afraid of thunderstorms. Not only can you mix arrays in with hashes (and vice versa, you could have an array OF hashes), you can also mix the methods you use to get values from them. Say you just wanted to know the personality of Sophie, which is the second item of the array in the hash value with the key "Sophie" (remember that the second item of the array is actually index number 1 for our purposes, since the first item is index number 0):
my_dogs_super_hash["Sophie"][1]
=> "great with kids"
There you have it! Thanks Dev Bootcamp, now I'm missing Tobey and Jesse and, yes, even Nick.


{% extends "soc/templatetags/_as_table_row.html" %} {% comment %} 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. {% endcomment %} {% load forms_helpers %} {% block error_td %}


This is the test page for MailStore
Start
Products
Overview
MailStore Server
MailStore Provider Edition
MailStore Home
Customers
Support
Company
How to Buy
Partners


Type Aliases
The following type aliases are available globally.
-
This is a simple key/value tuple type that we use for our display.
- properties:
- key: A String, with the localized key of the value.
- value: A String, with the value to display.
Declaration
Swift
typealias RVS_BTDriver_WatchOS_Test_Harness_Device_InterfaceController_DisplayStringTuple = (key: String, value: String)
- properties:
-
This typealias allows us to pass the main context, as well as the device instance, to the device listing sheet.
Declaration
Swift
typealias RVS_BTDriver_WatchOS_Test_Harness_Main_InterfaceController_DeviceContext = (owner: RVS_BTDriver_WatchOS_Test_Harness_Main_InterfaceController, device: RVS_BTDriver_DeviceProtocol)


U.S. Prohibits Employee Travel in Chihuahua City Due to Cartel Violence
The United States Consulate General in Ciudad Juárez, Chihuahua, issued a security alert prohibiting U.S. government employees from traveling to the state’s capital city. The newly released travel restriction is in effect until further notice.
by Robert ArceThis security, alert issued on November 8, goes into effect immediately and cites a marked increase in criminal activity throughout the city of Chihuahua. The criminal activity noted is due to a spike in cartel-related activity and associated violence due to turf wars between rival cartels and aligned criminal gangs, according to local law enforcement sources.
In July of 2018, the U.S. consulate in Ciudad Juárez issued a similar security alert prohibiting U.S. government employees from traveling into downtown Ciudad Juárez without advance permission. The government cited a marked increase in homicides throughout the city. These included an increase in shootings in the highly frequented downtown area during daylight hours.
Breitbart Texas reports regularly on the cartel-related violence in the border state of Chihuahua. The Mexican state abuts the U.S. states of Texas and New Mexico. Most of the violence centers in Ciudad Juárez, situated across the international border from El Paso; the city of Chihuahua, located in the center of the state approximately 225 miles south of Ciudad Juárez; and Ciudad Cuauhtémoc, 65 miles east of Chihuahua.
The security alert reads as follows:
Because of a marked increase in criminal activity throughout the city of Chihuahua, U.S. government personnel are restricted from traveling to the city of Chihuahua until further notice. The U.S. Consulate will continue to monitor the security situation and will update the Travel Advisory accordingly.
Actions to Take:
- Avoid travel to the city of Chihuahua at this time.
- The Travel Advisory is being updated to reflect this change in circumstances.
- For police and other emergency assistance, dial 911.
- Be aware of your surroundings at all times.
- Monitor local media for updates.
- Be prepared to take alternative routes between home and work and other frequent locations.
- Enroll in the Smart Traveler Enrollment Program (STEP) to receive security updates.
- Contact the nearest U.S. Consulate or Embassy if you need assistance.
Homicides by Month in the city of Chihuahua:
- January — 34
- February — 22
- March — 28
- April — 15
- May — 28
- June — 33
- July — 24
- August — 29
- September — 36
- November — 18
As of the morning of November 8, officials report 296 homicides registered in the city of Chihuahua. Ciudad Juarez reported 1,299. The entire state of Chihuahua compiled, 1777 homicides so far this year.
Robert Arce is a retired Phoenix Police detective with extensive experience working Mexican organized crime and street gangs. Arce completed work assignments in the Balkans, Iraq, Haiti, and recently completed a three-year tour in Monterrey, Mexico, for the U.S. Department of State, International Narcotics and Law


{{ partial "pricing/top.html" . }}
{{ if eq .Site.LanguageCode "en-GB" }}
{{ partial "pricing/uk/overview.html" . }}
{{ partial "pricing/uk/addons.html" . }}
{{ partial "pricing/uk/payperclick.html" . }}
{{ else }}
{{ partial "pricing/au/overview.html" . }}
{{ partial "pricing/au/addons.html" . }}
{{ partial "pricing/au/payperclick.html" . }}
{{ end }}
{{ partial "pricing/features.html" . }}
{{ partial "pricing/faq.html" . }}
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This toolbox allows you to do simple mediation and moderation analysis. It is also available as a module for 'jamovi' (see <https://www.jamovi.org> for more information). 'Medmod' is based on the 'lavaan' package by Yves Rosseel. You can find an in depth tutorial on the 'lavaan' model syntax used for this package on <http://lavaan.ugent.be/tutorial/index.html>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.2) |
| Imports: | jmvcore (≥ 0.5.5), R6, lavaan, ggplot2 |
| Suggests: | testthat |
| Published: | 2017-09-12 |
| Author: | Ravi Selker |
| Maintainer: | Ravi Selker <selker.ravi at gmail.com> |
| BugReports: | https://github.com/raviselker/medmod/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/raviselker/medmod |
| NeedsCompilation: | no |
| CRAN checks: | medmod results |
| Reference manual: | medmod.pdf |
| Package source: | medmod_1.0.0.tar.gz |
| Windows binaries: | r-devel: medmod_1.0.0.zip, r-release: medmod_1.0.0.zip, r-oldrel: medmod_1.0.0.zip |
| OS X binaries: | r-release: medmod_1.0.0.tgz, r-oldrel: medmod_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=medmod to link to this page.


abstract class AppDatabase : RoomDatabase
The Room database for this app
AppDatabase()
The Room database for this app |
abstract fun itunesItemDao(): ItunesItemDao
the dao for room access to perform crud on ItunesItem |
|
abstract fun itunesSearchDao(): ItunesSearchDao
the dao for room access to perform crud on ItunesSearch |


All-Ireland semi-final defeat for Inch Rovers
A whirlwind display in extra time from Naomh Ciarán was enough to secure the Offaly champions a place in their first ever All-Ireland Intermediate Championship Final, as they sprinted clear of Cork’s Inch Rovers in Ferbane.
Dual star full-forward Kate Kenny, who next Sunday will play an intermediate camogie championship provincial final with St Rynagh’s, finished the game with an incredible 1-10 to her name.
Three of those points were in the first-half of extra-time as Naomh Ciarán scored 0-5 without reply, before goals from Kaitlyn Rigney and Aoibhe Kelly wrapped up the victory in the final ten-minute period.
The East Cork side did hit their stride in the lead up to half-time and they were well in contention at that stage, just 1-6 to 1-4 adrift.
They monopolised possession in the second-half of the game, Jessica O’Shea leading the way with a masterful performance at centre-back, and it seemed like they would go on to win when they drew level, 1-8 each, with ten minutes to play.
Naomh Ciarán’s Ellee McEvoy was sin binned for the last ten minutes of normal time and that looked like a fatal blow to the Offaly side’s chances.
Yet they defended valiantly, and snatched the lead in the second minute of injury time through Kenny, only for Inch Rovers to mount one last attack and tie up the scores through Lydia Williams.
A footballing masterclass from Naomh Ciarán saw them prevail in extra time with 10 points to spare.
Meanwhile, a strong finish saw St Paul's book their place in the decider as they edged out St Nathy's in a gripping encounter in Belfast this afternoon.
The hosts had to rally from being four points down early in the second period, but did so brilliantly as they maintained composure to find the scores to deny the Sligo girls.
All-Ireland Intermediate Club Championship Semi-Finals:
- St Paul's (Antrim) 1-7 St Nathy's (Sligo) 1-6
- Naomh Ciarán (Offaly) 3-15 Inch Rovers (Cork) 1-11
READ MORE
Donoughmore progress to junior ladies football final against Mayo's MacHale Rovers


piStar tool
An open-source, online goal modeling tool for i* 2.0. No installation required.
iStar 2.0
Create i* 2.0 models with this free online modeling tool.
Learn more »
The iStar 2.0 Language Guide define constraints on which relationships (links) are valid. Whereas most of these constraints are enforced on the piStar tool, preventing the creation of invalid models, some of them have been ignored:
- The tool allows the creation of cyclic links when more than two elements are involved
- The tool allows the creation of and-refinements with a single child
Custom properties
Do you need to know cost, rationale, priority, <insert your need here>? Don't sweat it, add any property you want to your elements.
No installation
The piStar tool runs on your browser, no installation is required. Works best on Chrome. Once it's open it can be used offline.
Smooth links
Add vertices to customize your links.
Auto-resize
Automatic resizing of actors to fit your content.
Collapsable actors
(Un)collapse actors with a simple alt+click, enabling you to have both SD and SR diagrams in a single model.
Error explanation
Visual aids help users learning the i* syntax.
Export to SVG and PNG
Create high quality images from your models, ready to be used on journal papers, books, posters and presentations.
Full screen
To make the most of the tool, use the Fullscreen toggle that you can find in the Options menu.
Privacy
This modeling tool runs entirely on your browser.
This page here has no cookies. However, by accessing the actual tool, the Google Analytics service will be activated with the Anonymize IP option active and Marketing features deactivated. This way we can still learn about the usage of the tool while preventing Google from recording any personal data.
From within the tool, you can setup your privacy settings and turn off any data collection.
Dependencies
The following open-source libraries and frameworks made it possible:
- JointJS - provides the core modeling functionalities
- Bootstrap - professional-looking style and components
- jQuery - facilitates DOM manipulation and cross-browser support
- X-editable - enables inline editing of DOM elements
- Bootbox - for uniformed cross-browser dialogs
Hey there!
The piStar tool is made for you. Help us improve it by giving us your feedback.
News
Version 2.1.0 released with the first external contributionThis is the first release of the piStar Tool that features an external contribution! It came from our colleagues at the Beijing University of Technology, who developed an auto-layout feature. Thank you Qixiang Zhou, Yunduo Wang, and Tong Li! And you? Would you like to contribute as well? Perhaps it's just something that you find annoying in the tool, or perhaps it's a text in the UI that you think is a little off... pull requests are more than welcome! All contributors are added to our Contributors file . New features in v2.1.0
Changes in v2.1.0A couple of tweaks in the UI will hopefully prevent some accidental deletions. The first one is that users are now prompted to confirm when they are deleting actors. Since actors may contain multiple elements, accidentally deleting them can be quite frustrating. The second tweak is related to the interaction with links. When a user clicks in the highlight of a link, it is selected. However, when clicking in the actual line of the link, the tool only added a vertex to the link but didn't actually select it. Thus, sometimes users assumed that the link was selected but it wasn't, then they hit the Delete key and something else was (accidentally) deleted. Well, in this new version, when a vertex is added the link is also selected. Those are only the highlights of version 2.1.0. For more details, check out the full changelog. |
2021-11-29 |
Version 2.0.0 released!A new version of the tool is available! This is our biggest update yet, with a revamped UI, improved validity checks, and enhanced model aesthetics, as well as a host of new features. Please let us know if you find any bug or simply send us your feedback. Features
Aesthetic changesCompare below the visual changes from version 1.2 to 2.0. Improved Validity ChecksTwo iStar 2.0 constraints that were not enforced in previous verstions of the tool are now enforced:
The following constraints are still ignored:
Users are still able to load models from previous versions that have invalid links, but they receive a notification suggesting to fix such links. Moreover, the error messages when trying to create an invalid link are now clearer. Improved User InterfaceA new User Interface (see below) has been designed not only to address some of the previous usability issues, but also to provide space for new and future functionalities. Those are the highlights of this new version. For more details, check out the changelog. |
2019-04-06 |
Version 1.2.0 - it grows!Version 1.2.0 is now available: now the space for drawing depends on your window's size, thus it's likely that your modeling will get comfy! Oh no, there is no more room for your model!? Don't worry, now the modeling area will increase automatically to the left and to the right as needed. Those are the new features, but there's some enhancements and bug fixes as well. Check out the changelog. By the way, we are out of known bugs! Help us, find them and shout out (pretty please?)! |
2018-03-20 |
Version 1.1.0 - complete savingVersion 1.1.0 is now available! and you are finally able to restore your models exactly as they were: what was collapsed remains collapsed, and links' vertices are also kept intact. Non-english speaking modelers (including myself) are now able to save and load models containing non-english symbols. The tested languages are: Arabic, Chinese, Japanese, Portuguese, Russian, and Turkish. Those are the new features, but there's also a whole lot of enhancements and bug fixes. Check out the changelog. |
2018-03-12 |
What about Privacy?We are adding (back) Google Analytics tracking, now with Anonymous IP. What do you think of it? Is it a deal breaker? Do you have suggestions on the topic? |
2018-03-12 |
Version 1.0.1 releasedA new version of piStar is online, with small but useful adjustments. Check out the changelog. |
2018-03-05 |
Now with this landing pageThis landing page here was created and published, aiming to make the piStar tool more accessible. |
2018-03-05 |


{%load static%}
DashBoard
{%block headlinks%} {%endblock%} {%block style%} {%endblock%} {%block navbar%}
Bothra Classes
{%block navbarlink%} {%endblock%} {%endblock%} {%block body%}
Starter Template
A modern responsive front-end framework based on Material Design
{%endblock%} {%block footer%} {%endblock%}


*** User 2017-05-05 21:49:03.987 ***
21:49:03.987 [info] Disabling blocking sync...
*** User 2017-05-05 21:49:03.993 ***
21:49:03.992 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 21:49:05.553 ***
21:49:05.553 [info] Enabling membership...
*** User 2017-05-05 21:49:05.554 ***
21:49:05.554 [info] Disabling blocking sync...
*** User 2017-05-05 21:49:05.559 ***
21:49:05.559 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 21:49:07.048 ***
21:49:07.047 [info] Enabling membership...
*** User 2017-05-05 21:49:07.049 ***
21:49:07.049 [info] Disabling blocking sync...
*** User 2017-05-05 21:49:07.054 ***
21:49:07.054 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 21:49:07.309 ***
Joining node: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50912
*** User 2017-05-05 21:49:07.310 ***
Joining issued: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50912
*** User 2017-05-05 21:49:07.310 ***
Joining node: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50896
*** User 2017-05-05 21:49:07.310 ***
Joining issued: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50896
*** User 2017-05-05 21:49:07.311 ***
Joining node: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50882
*** User 2017-05-05 21:49:07.311 ***
Joining issued: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 50882
*** User 2017-05-05 21:49:07.372 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-05-05 21:49:07.373 ***
Finished.
*** CT 2017-05-05 21:49:07.374 *** COVER INFO
Adding nodes to cover test: ['runner@MacBook-Pro-de-Anne-France']
*** CT 2017-05-05 21:49:07.382 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-05-05 21:49:07.383 ***
Case finished: sql_simple_uncontracted_latency_test
*** User 2017-05-05 21:49:14.429 ***
21:49:14.429 [info] Application lasp exited with reason: stopped
*** User 2017-05-05 21:49:14.429 ***
21:49:14.429 [info] Application partisan exited with reason: stopped
=== Ended at 2017-05-05 21:49:14
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


Day 3
Our persecuted brothers and sisters in Christ
3
The Lord of Hosts is Your Name. Mighty is Your Name to Save. Blessed be Your Name forever more!I know that You hear the cries of the persecuted. Blessed are those who are persecuted for Your Name’s sake. Their sorrows, pain, nakedness, their unjust treatment, and as with Abel their blood cries out to You from the ground. In their sufferings strengthen them. Cause the faith within them to rise up and stand strong in the strength of Your might.
In their pain, may Your grace bring the ointment of healing.
In their hunger and thirst, nourishment and drink.
In their imprisonment, joy and endurance.
In their outcast, a covering of belonging and love.
In the face of their tormentors, wisdom and courage.
In their fear, let them taste heaven.
Father, we will not let our brothers and sisters suffer alone. As one member suffers, we suffer with them. Grant the saints everywhere, including Muddy Creek, a burden to lift up and rally around our persecuted family members of the faith. According to Your will, cause their suffering to result in an everlasting testimony of Your faithfulness. Amen. (Hebrews 13:3; Matthew 5:11-12; 25:34-40)


{% for member_json_bio in site.data.members %} {% include portfolio-card.html member_json_bio=member_json_bio %} {% endfor %}


|
Dynamic Finite Element Code for Beam Elements
1.0
|
Classes | |
| struct | BC |
| Parent boundary condition class. More... | |
| class | BeamElement |
| Parent class of Euler-Bernoulli and Timoshenko beam elements. More... | |
| struct | ConstantBC |
| Boundary condition that is constant in time. More... | |
| struct | ConstantForce |
| class | CSVParser |
Reads data from a csv file into an std::vector and writes the contents of an std::vector to a file. More... | |
| class | EulerBernoulliBeamElement |
| Implementation of the Euler-Bernoulli beam element. More... | |
| class | ExplicitSystem |
| System responsible managing explicit time integration. More... | |
| class | ExplicitSystemManager |
| Manages explicit time integration. More... | |
| struct | Force |
| Parent class of external forces applied to nodal degrees of freedom. More... | |
| class | Mesh |
| struct | PrescribedValue |
| Nodal value set by the user. More... | |
| struct | Props |
| The set of properties associated with an element. More... | |
| class | TimoshenkoBeamElement |
| Implementation of the Timoshenko beam element. More... | |
| class | ValueCompare |
Typedefs | |
| typedef std::vector< std::unique_ptr< BC > > | BCList |
| typedef Eigen::Matrix< double, 12, 12, Eigen::RowMajor > | LocalMatrix |
| typedef Eigen::SparseMatrix< double > | SparseMatrix |
| typedef Eigen::Matrix< double, Eigen::Dynamic, 1 > | ColumnVector |
| typedef Eigen::Vector3d | Node |
| A node that describes a mesh. Uses Eigen's predefined Vector class for added functionality. More... | |
| typedef std::vector< std::unique_ptr< Force > > | ForceList |
Enumerations | |
| enum | DOF { DISPLACEMENT_X, DISPLACEMENT_Y, DISPLACEMENT_Z, ROTATION_X, ROTATION_Y, ROTATION_Z, NUM_DOFS } |
| Convenience enumerator for specifying the active degree of freedom in a constraint. More... | |
Functions | |
| template<typename T > | |
| std::istream & | operator>> (std::istream &ins, std::vector< T > &record) |
| template<typename T > | |
| std::istream & | operator>> (std::istream &ins, std::vector< std::vector< T > > &data) |
| void | update_rotation (const std::vector< Node > &nodes, const BeamElement &elem, LocalMatrix &rotation, LocalMatrix &rotation_transposed) |
Updates rotation matrices to the current element's geometry based on the associated vector of Node s. More... | |
| double | estimate_stable_timestep (const std::vector< Node > &nodes, const std::vector< std::unique_ptr< BeamElement >> &elems) |
| rapidjson::Document | parseJSONConfig (const std::string &config_filename) |
| std::vector< Node > | createNodeVecFromJSON (const rapidjson::Document &config_doc) |
| std::vector< std::unique_ptr< BeamElement > > | createElemVecFromJSON (const rapidjson::Document &config_doc) |
| BCList | createBCVecFromJSON (const rapidjson::Document &config_doc) |
| ForceList | createForceVecFromJSON (const rapidjson::Document &config_doc) |
| ColumnVector | createColumnVectorFromJSON (const rapidjson::Document &config_doc, std::string key, unsigned int size) |
Parses the file indicated by the specified key into a ColumnVector . More... | |
| TEST (Mesh, AssemblesGlobalStiffness) | |
| TEST (Mesh, AppliesBC) | |
| typedef std::vector<std::unique_ptr<BC> > explicit_fea::BCList |
| typedef Eigen::Matrix<double, Eigen::Dynamic, 1> explicit_fea::ColumnVector |
Vector that stores the nodal forces, i.e. the variable \([F]\) in \([K][Q]=[F]\), where \([K]\) is the stiffness matrix and \([Q]\) contains the nodal displacements, or nodal displacements \([Q]\).
| typedef std::vector<std::unique_ptr<Force> > explicit_fea::ForceList |
| typedef Eigen::Matrix<double, 12, 12, Eigen::RowMajor> explicit_fea::LocalMatrix |
An elemental matrix in local coordinates. Will either be the elemental stiffness matrix or the global-to-local rotation matrix
| typedef Eigen::Vector3d explicit_fea::Node |
A node that describes a mesh. Uses Eigen's predefined Vector class for added functionality.
See the Eigen documentation on the Vector3d
class for more options of what can be done with Node
s.
Examples of constucting a Node
at \((x, y, z)=(0,1,2)\):
| typedef Eigen::SparseMatrix<double> explicit_fea::SparseMatrix |
Sparse matrix that is used internally to hold sparse representations of the global and elemental stiffness matrices.
| enum explicit_fea::DOF |
Convenience enumerator for specifying the active degree of freedom in a constraint.
| std::vector< std::unique_ptr< BC > > explicit_fea::createBCVecFromJSON | ( | const rapidjson::Document & | config_doc | ) |
Parses the file indicated by the "bcs" key in config_doc
into a vector of explicit_fea::BC
pointers.
| config_doc | rapidjson::Document . Document storing the file name containing the boundary conditions. |
BCList
. | ColumnVector explicit_fea::createColumnVectorFromJSON | ( | const rapidjson::Document & | config_doc, |
| std::string | key, | ||
| unsigned int | size | ||
| ) |
Parses the file indicated by the specified key into a ColumnVector
.
The parsed data must have 1 value per line and the number of lines must equal the specified size
.
| config_doc | Document storing a filename associated with the given key . |
| key | Key in the document that holds the filename to load. |
| size | The expected size of the parsed vector. |
| std::vector< std::unique_ptr< BeamElement > > explicit_fea::createElemVecFromJSON | ( | const rapidjson::Document & | config_doc | ) |
Parses the files indicated by the "elems" and "props" keys in config_doc
into a vector of explicit_fea::Elem
pointers.
| config_doc | rapidjson::Document . Document storing the file names of the csv files that contain the node number designations for each element and elemental properties. |
std::vector<explicit_fea::BeamElement>
. | std::vector< std::unique_ptr< Force > > explicit_fea::createForceVecFromJSON | ( | const rapidjson::Document & | config_doc | ) |
Parses the file indicated by the "forces" key in config_doc
into a vector of explicit_fea::Forces
pointers.
| config_doc | rapidjson::Document . Document storing the file name containing the prescribed forces. |
ForceList
. | std::vector< Node > explicit_fea::createNodeVecFromJSON | ( | const rapidjson::Document & | config_doc | ) |
Parses the file indicated by the "nodes" key in config_doc
into a vector of explicit_fea::Node
's.
| config_doc | rapidjson::Document . Document storing the file name containing the nodal coordinates. |
std::vector<explicit_fea::Node>
. | double explicit_fea::estimate_stable_timestep | ( | const std::vector< Node > & | nodes, |
| const std::vector< std::unique_ptr< BeamElement >> & | elems | ||
| ) |
Estimates the maximum stable time step.
| nodes[in] | List of nodal coordinates. |
| elems[in] | List of finite elements associated with the nodal coordinates. |
| std::istream& explicit_fea::operator>> | ( | std::istream & | ins, |
| std::vector< T > & | record | ||
| ) |
Takes a line from the input stream and appends it to the record.
| ins | std::istream . The file where data is read from. |
| record | std::vector<T> . Vector where the data is placed. |
|
inline |
Parses the file into a 2D vector. Each sub-vector is a line from the input file.
| ins | std::istream . The file where data is read from. Each line will become a vector in data |
| data | std::vector< std::vector< T > > . 2D Vector where the data is placed. |
| rapidjson::Document explicit_fea::parseJSONConfig | ( | const std::string & | config_filename | ) |
Opens the specified json file and parses the data into a rapidjson::Document
and returns the result. The config document should have key's "nodes", "elems", "props" and "bcs". Optionally, there can be keys "forces" for prescribed forces, "t_0" for the initial time of the system, "initial_displacements" and "initial_velocities" for initial conditions (assumed to be zero if not provided), and an "options" key specifying additional paramters to the system.
| config_filename | std::string . The location of the configuration json file. |
rapidjson::Document
| explicit_fea::TEST | ( | Mesh | , |
| AssemblesGlobalStiffness | |||
| ) |
| explicit_fea::TEST | ( | Mesh | , |
| AppliesBC | |||
| ) |
| void explicit_fea::update_rotation | ( | const std::vector< Node > & | nodes, |
| const BeamElement & | elem, | ||
| LocalMatrix & | rotation, | ||
| LocalMatrix & | rotation_transposed | ||
| ) |
Updates rotation matrices to the current element's geometry based on the associated vector of Node
s.
| nodes[in] | List of nodal coordinates. |
| elem[in] | Current element. |
| rotation[in/out] | Square matrix that transforms elemental matrices from local to global coordinates. |
| rotation_transposed[in/out] | Transpose of the aforementioned rotation matrix. |


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Terms and Conditions
-
(a) You must use the Research Cloud in a secure manner, follow all security guidelines and policies available on http://support.rc.nectar.org.au/docs/security-guidelines
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(c) Unauthorised use is prohibited and may result in administrative and/or legal action. If you do not understand this notice, disconnect immediate, do not proceed further and contact the Research Cloud Support team on<EMAIL_ADDRESS>-
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public class Meet2regress
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
java.util.ArrayList |
features
regression features
|
java.lang.String |
geoMeanRegressionoutput
string displaying the cahracteristics of the geometric regression
|
Meet |
meet
parameters related to the meeting
|
MultivariateRegression |
multivariateregression
simple multivariate regression
|
java.lang.String |
MultivariateRegressionoutput
string displaying the characteristics of the multivariate regression
|
double[] |
predicted
predicted fatures
|
java.lang.String |
robustRegressionoutput
string displaying the characteristics of the multivariate and robust regression
|
double[][] |
xfeatures
x features
|
| Constructor and Description |
|---|
Meet2regress(android.os.Bundle extras2regress,
android.content.Context ctx2regress)
rmultivariate regression initialisation
|
Meet2regress(FileManager localFile4Noise,
java.util.List<FileManager> remoteFilelist,
android.content.Context ctx2regress)
init the multivariate regression
|
| Modifier and Type | Method and Description |
|---|---|
double[] |
cast_data2regress(java.util.ArrayList<java.lang.Double> alist2regress,
int min)
extract a certain amount of measurements
|
FileManager |
device2data(Meet meet,
java.lang.String deviceId,
int namePosition,
android.content.Context ctx2regress)
provide the file manager used to store sound related measurements
|
double |
diff(double[] y,
double[] x)
return sum of the differences between the provided samples
|
double[][] |
features2regress(java.util.ArrayList featuresData)
convert a list into a matrix that is further used in the regression
|
double |
getMean(double[] doublelist)
compute the mean of the measurements
|
double |
getMedian(double[] doublelist)
return the median
|
void |
regressAction(java.util.ArrayList<java.util.ArrayList<java.lang.Double>> matrix,
android.content.Context ctx2regress)
regression performed
|
void |
regressMatrix(FileManager localFile4Noise,
java.util.List<FileManager> remoteFilelist,
android.content.Context ctx2regress)
init the multivariate regression
|
double |
std(double[] doublelist)
return the standard deviation
|
double |
sum(double[] doublelist)
sum of the measurements
|
public java.util.ArrayList features
public double[] predicted
public double[][] xfeatures
public Meet meet
public java.lang.String MultivariateRegressionoutput
public java.lang.String robustRegressionoutput
public java.lang.String geoMeanRegressionoutput
public MultivariateRegression multivariateregression
public Meet2regress(android.os.Bundle extras2regress, android.content.Context ctx2regress)
extras2regress
- devices to regressctx2regress
- contextpublic Meet2regress(FileManager localFile4Noise, java.util.List<FileManager> remoteFilelist, android.content.Context ctx2regress)
localFile4Noise
- file name where is stored the sound recorded locallyremoteFilelist
- file names where are stored the noise recorded by the devices we are meeting withctx2regress
- contextpublic void regressMatrix(FileManager localFile4Noise, java.util.List<FileManager> remoteFilelist, android.content.Context ctx2regress)
localFile4Noise
- file name where is stored the sound recorded locallyremoteFilelist
- file names where are stored the noise recorded by the devices we are meeting withctx2regress
- contextpublic void regressAction(java.util.ArrayList<java.util.ArrayList<java.lang.Double>> matrix, android.content.Context ctx2regress)
matrix
- matrix with parametersctx2regress
- contextpublic FileManager device2data(Meet meet, java.lang.String deviceId, int namePosition, android.content.Context ctx2regress)
meet
- meetingdeviceId
- deice idnamePosition
- position in the groupctx2regress
- contextpublic double[][] features2regress(java.util.ArrayList featuresData)
featuresData
- public double[] cast_data2regress(java.util.ArrayList<java.lang.Double> alist2regress, int min)
alist2regress
- measurementsmin
- amount of measurement to extractpublic double getMean(double[] doublelist)
doublelist
- measurementspublic double getMedian(double[] doublelist)
doublelist
- easurementspublic double std(double[] doublelist)
doublelist
- measurementspublic double sum(double[] doublelist)
doublelist
- measurementspublic double diff(double[] y, double[] x)
y
- samplesx
- other samples


Welcome to Fedora CoreOS!
Note: This site and project are currently very dynamic and will change a lot within the next weeks and months. Please refer to the FAQ for more information for the time being. If you want to help or ask any questions, come by our IRC channel, irc://irc.freenode.org/#fedora-coreos, or join our new discussion board. Links to documentation and more will be added once they're available.
Fedora CoreOS aims to combine the best of both CoreOS Container Linux and Fedora Atomic Host. The two operating systems are very similar in goals and philosophy. Fedora CoreOS targets the same use case, combining technology like Ignition from Container Linux with the SELinux hardening from Project Atomic. Its goal is to provide the best container host to run containerized workloads securely and at scale.
Fedora CoreOS is an open source project associated with the Fedora Project. We are aiming for high compatibility with existing Container Linux configuration and user experience, and we expect to provide documentation and tooling to help migrate from Container Linux to Fedora CoreOS.


Choose the course that the problem set belongs to. If there are no courses in the list, create one first.


This page contains the style guide for your application: the colors, typography, and common widget styles. The guide's structure and organization borrows heavily from (a very old version of) the Twitter bootstrap.
The color palette for the application and a description of each color's usage.
| Name | Hex code | Usage/notes | |
|---|---|---|---|
| Cafe au lait | #eed7bb | ||
| Kraft paper | #b89261 | Primary, secondary buttons | |
| Saddle brown | #926e3b | ||
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| Item | Quantity | Price |
|---|---|---|
| Total | $47.02 | |
| Widget | 1 | $15.02 |
| Thingamabob | 5 | $3.00 |
| Whatchamacallit | 2 | $8.50 |
We commonly use tables to lay out forms with left- or right-aligned labels. This is the recommended method for desktop applications.
Styles for secondary and disabled buttons are included.
Top-aligned form labels tend to reduce form-completion times the most and are best used when the data being requested is well-known to the user and requires minimum thought. Top-aligned labels should also be used for mobile applications.
Pagination styles should ensure that individual links are well spaced and large enough to be suitable touch targets.
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|
palinka
|
A handler to a simulated system. More...
#include <system.h>
Public Member Functions | |
| int (step *)(struct System_t *system) | |
Public Attributes | |
| char * | base |
| size_t | memory_size |
| struct Error_t | err |
| Last known error, if a system-related functions returns an error code, the full error will be available here. More... | |
A handler to a simulated system.
Contains everything to manage the system, its memory (and size), the error (if any), and the hook functions (step)
When init a system, you must always perform the following operations in that order
init_common will initialise everything common to a system such as the MMU, the DEV, etc and reserve space to put the specific_header_t.
| System_t::int | ( | step * | ) |
Step function that will be executed when calling system_step
| char* System_t::base |
Memory base
| struct Error_t System_t::err |
Last known error, if a system-related functions returns an error code, the full error will be available here.
Currently no error stack exist, this can managed in a future version
| size_t System_t::memory_size |
Memory size