Professional Honors and Awards :
1. Receiving the Outstanding Zone 1 Campus Representative Award In June 2016 at ASEE’s National conference in New Orleans.
2. Received the Section Outstanding Campus Representative Award at ASEE’s North East conference held at URI in Kingston, Rhode Island in April 2016.
3. Received the Best Campus Rep Award for Zone 1 of ASEE, 2014.
4. Awarded Fellow by the American Society for Engineering Education, 2013
5. Received the Best Teaching Award for NE Section of ASEE, 2012
6. Received the Best Campus Rep Award for Zone 1 of ASEE, 2012
7. Received Hon’ble member at MIT on June 11, 2010 from the IAAB of the MEGHE group of Institutions, Nagpur, India.
8. Received Best Paper Award for Zone 1 at West Point Academy ASEE, 2008
9.Received Best Paper Award from the New England Section of the ASEE, 2007
10. Have been selected for inclusion in the AcademicKeys Who's Who in Engineering Education (WWEE), 2005
11. Received Best Campus Representative Award for Zone 1 2005.
12. Received Best Campus Representative Award for Zone 1 2003.
13. Elected New England Section’s Campus Representative 2003.
14. Selected Awards Committee Chair for A.S.E.E., 2002.
15. Received outstanding Zone I Campus Representative Award from ASEE, 2000.
16. Received Best Campus Representative Award from ASEE, 1997.
17. Received Certificate of Appreciation at Centennial Celebration from ASEE, 1995.
18. Received Professional Development Award, University of Massachusetts Lowell, 1994.
19. Recipient of Group Achievement Award for Intelligent Vehicle Highway Systems (IVHS) Crash Avoidance Project Team, in recognition and appreciation of an outstanding contribution to the accomplishments of the John A. Volpe Transportation Systems Center, 1993.
20. Received $60,000 for “Enhancing Performance of Mobile switches Deploying Innovative Material and Electrical Characterization, Measuring Modeling and Processing
21. Recipient of Certificate of Appreciation, University of Massachusetts Lowell, for outstanding efforts in assisting students and staff of Bourgeois Residential College Adopt-a-Faculty Program, 1993.
22. Recipient of Certificate of Recognition, Sixth International Conference on VLSI Design for the Significant and Valued Contribution as Invited Speaker on VLSI Education, 1993.
23. Recipient of College of Engineering Merit Teaching Award, University of Massachusetts Lowell, 1988.
24. Recipient of College of Engineering Merit Service Award, University of Massachusetts Lowell, 1986.
25. Recipient of Certificate of Appreciation from U.S. Department of Transportation/ Transportation Systems Center, Cambridge, MA, 1985.
26. Elected by the IEEE Board as Senior member of the Institute, 1982.
27. Rated by SC State as Superior Teacher and Outstanding Scholar, 1980.
28. Selected by Engineering Joint Council to appear in Who in Who, in Engineering and Engineer of Distinction, 1974.
29. Recipient of Khosla Research Incentive Award from University of Roorkee, 1964.
30. Received $60,000 for “Investigations of Bulk Acoustic Wave filter using Innovative Modeling and Reliability Analysis Techniques” from Skywork Solutions, 2005.
31. Received $40,000 for Distributed Semiconductor Instructional Processing Lab from Sky work Solutions, Raytheon and Analog Devices, 2004.
32. Received $100,000 worth of Scanning Electron Microscope (SEM) from Analog Devices Inc, 2003.
33. Receiving $65,000 grant “Enhancement of VLSI Design and Fabrication Capabilities of the EE program at Alabama A&M University Through Imparting State-of-the-Art”, 2002.
34. Received $47,312 grant “Enhancement of VLSI Design and Fabrication Capabilities of the EE program at Alabama A&M University Through Imparting State-of-the-Art”, 2001.
35. Received $40,000 for Microelectronics Center from members including Alpha Industries, MA/Com, Analog Devices, and Raytheon Company, 1998, 1999, 2000, 2001.


{%extends "nav_events.html" %} {%block title%}Conference Sponsorship Signup - {{conference}}{%endblock%} {%block extrahead%} {%endblock%} {%block content%}
Thank you for your interest in sponsoring {{conference}}! Please fill out the form below to initiate your sponsorship!
{%if level.contract%}Before you complete the signup form, please make sure you have read the contract, and agree with the contents in it.
{%endif%} {%if form.errors%}NOTE! Your submitted form contained errors and has not been saved!
{%endif%}


{% extends 'base.html' %} {% load add_class %} {% block title %}{{assessment}} | Create Strain {% endblock title %} {% block main_content %}
Note: If coming from an input-form, you may need to refresh the page to view your newly added strain!


Off-Topic
How do i put scripts on the side?
(4)
Is Hexus Even Worth it?
(19)
Trade offer
(
2
)
(21)
My friend but hexus last night but the server got deleted?
(3)
Dont hurt me but I need protosmashers discord
(3)
Discord deleted is it?
(3)
13 days no whitelist fix
(4)
Crashes every time I inject ;c
(4)
Pf script RAID EM SERVERS
(15)
Raid this game
(3)
Why can hexus not run this
(2)
Admins Zomedash, ETC
(9)
Can yall ban the owner of this roblox game?
(7)
Hexus Discord is down?
(3)
Need help432424423e
(2)
I moved to america so dont blacklist me
(3)
No discord :d
(2)
Yo yo
(3)
Someone help me
(2)
Was I banned?
(4)
Goodbye
(6)
Lets make story about a women
(
2
)
(26)
How to deal with boredom while waiting for Hexus to update
(9)
Is hexus unpatched?


Definitely row by row, they are subsets.
http://stackoverflow.com/questions/1851134/generate-all-binary-strings-of-length-n-with-k-bits-set
We need 2 variables for this. 1) A string of 0's and 1's (the binary number) and 2) keep track of position of current bit we are working with, current bit position will start at index 0 (right most)
We want to start with 0 0 1 for this algorithm to work.
Step 1) if current bit is unset we set it, else we unset all bits goto step 2, then return to step 1.
Step 2) shift current index to the left
Step 3) if current index is > size break, else set the bit
Step 4) shift current index to the right most bit
Step 5) Go to step 1
(May be a few flaws in the steps but sounds right to me)
Step 1) if current bit is not set goto step 7
Step 2) unset all bits
Step 3) shift current index left
Step 4) if current index > size goto Z, else set current index
Step 5) shift current index to rightmost bit
Step 6) goto step 1
Step 7) set current bit
Step 8) shift current index left
Step 9) if current index is <= size goto step 1, else break
May still have a few logic problems but I am in a hurry sorry.


Autonomous technology is any kind of technology that can function without being told what to do by a person. Robots in are a good example of autonomous technology.The main forms of autonomous technology being used are drones and self driving cars. Autonomous technology is being developed because the more autonomous things are, the fewer communications resources are needed to give it orders and help it navigate, and thus fewer people need to be on the team to give and program orders. Also, if a company wants to save money on staff or if it wants to cut human error autonomous technology is the way to go.However it has its own risks and disadvantages as it can take a long time and be expensive to develop.
Space Rover and self driving cars are both good examples of autonomous technology.
Blockchain is the technology the underpins digital currency (Bitcoin, Litecoin, Ethereum, and the like). The tech allows digital information to be distributed, but not copied.The information is constantly reconciled into the database, which is stored in multiple locations and updated instantly.A cryptocurrency refers to a digital coin that runs on a blockchain. The blockchain behind bitcoin is a public ledger of every transaction that has taken place. It cannot be tampered with or changed retrospectively.The transactions are collected in blocks, which are found approximately every ten minutes in a random process called mining. As transactions transfer ownership of Bitcoin balances, each of these blocks represents an update of the user's balances on the network.
Virtual reality is a way to create a computer-generated environment that immerses the user into a virtual world. When we put on a VR headset it takes us to a simulated set-up making us completely desensitised from our actual surroundings.The primary subject of virtual reality is simulating the vision. Every headset aims to perfect their approach to creating an immersive 3D environment. Each VR headset puts up a screen (or two - one for each eye) in front of eyes thus, eliminating any interaction with the real world. Two autofocus lenses are generally placed between the screen and the eyes that adjust based on individual eye movement and positioning. The visuals on the screen are rendered either by using a mobile phone or HDMI cable connected to a PC.


--- layout: default title: Alt-right not functioning permalink: 404.html ---
Head back to safety and try again.


"Do what you love and you won't have to work a single day for the rest of your life". We, at The Golden String live and breathe by this rule. Music is not just a business for us, it's our passion. In 1989, our founder Tim Morgan started humbly when he opened up a small guitar repair and buying/selling shop in Calgary. Fast forward 26 years (yes, we just celebrated our silver jubilee), we are now one of the major music businesses in Canada.
Over the years we have proudly incorporated a number of music related areas and dimensions in our business and this is just a start. We look forward to establishing our own recording studios and ultimately founding a record label one day that will help struggling artists realize their dreams and serve the greater art that is music. For now, we feel proud of the fact that because of The Golden String, countless Canadians play and enjoy music in one form or another and tonnes of our nation's kids have learned to play music because we were and are here for them.


Joseph black
Democrat
Senior Rabbi - Temple Emanuel - Denver, CO - 2010-present
BS ED - Northwestern University - 1982 MAHL - Hebrew Union College-Jewish Institute of Religion - 1986 Rabbinic Ordination - Hebrew Union College-Jewish Institute of Religion - 1987 Doctor of Divinity (Honorus Causus) - Hebrew Union College - Jewish Institute of Religion 2012
80231
I am a registered Democrat. My wife and I have donated to various Democratic Candidates over the years - I do not have a complete list.
President - Rocky Mountain Rabbinical Council Board Member - Denver Botanic Gardens Board Member - Anti-Defamation League Board Member - Jewish Colorado Board Member - Swallow Hill Music Association I serve on the Governor's multi-faith council I serve on Mayor Hancock's Interfaith Advisory Board
As Sr. Rabbi of the largest Synagogue in Colorado, I spend a great deal of time advocating for many causes including, but not limited to: Homelessness - I introduced Family Promise to my congregation; Women's Health Care - I publicly advocated against Proposition 115; Interfaith Dialogue - I am an active participant in interfaith activities on a national, state and local level;
I strongly believe in the process of Democracy. I love this country and I want to do my part in helping to ensure that every person has a voice - regardless of race, religion, sexual orientation or location. As our State of Colorado grows, we need to ensure that the redistricting process is fair, equitable and represents the best of what we have to offer.
I pride myself in being someone who brings people together. As a leader of a large diverse congregation and as a Rabbi for 32 years, I have learned how to listen, bring healing and inspire others to do what is best.
My faith tradition sees logical and rational analysis as a key to understanding and assimilating the diverse stimuli with which we all are confronted on a daily basis. I pride myself in my ability to listen, synthesize and find areas of compromise and cooperation. I always look to see the holiness in every person and idea - even when we disagree.
Male


I'm passionate traveller, Coffee addictive and a software professional.
I enjoy turning complex problems into simple, easy.I like challenges because they teach me,
they give me new experience, Confidence. I've pursued my masters in University of Central Missouri. I am a good problem-solver with an inquisitive and innovative mind, and loves to collaborate with other teams to drive the company forward.
I'm originally from India. After pursuing my masters in 2016 in USA 2016, worked there for 4 years and moved to Canada.
When I'm not making magic at my desk, You're likely to find me exploring nature,taking a long road trip.
I have done work in software development, front-end/back-end web, database/server management, graphic design.
Designing dynamic and creative websites with cutting edge technolgies, with grandeour look and feel. Used BootStrap, CSS,JavaScript,Jquery, Angular6 etc.
Keeping myself busy in updating the new programming languages in the market currently experienced with Asp.Net, Asp.Net Core2, C#,WebApis, EntityFramework Core!
Worked and Explored SQL,Oracle databases. Good at Writing queries,applying indexes and improving the Query performance performance.
Hands on experience on Microsoft Azure, Idea on Amazon Web Services.Hosted my webservices on Azure platform and the web applications on pay as you go method..
Continous Integration using CircleCI, GitHub and Bash commands. Pushing the code from local environment to server using Azure access.
Used different versions of tools like, VisualStudio 2013/15/17 used different SQL and Oracle versions. Different repository versions like TFS, SVM and GitHub.
Developing and Hosting an application from the scratch using new cutting edge technologies.
-- Naveen Patancheru ❤


Frozen 2 tops box office - Entertainment News
by WENNFrozen II has iced out the competition to top the North American box office in its opening weekend (22-24Nov19).
The animated sequel starring Idina Menzel and Kristen Bell has earned an impressive $127 million to take the number one spot. The film was also in first place overseas and grossed $223 million internationally.
Christian Bale and Matt Damon's Ford v Ferrari comes in at number two with $15.5 million , while Tom Hanks' Mister Rogers biopic A Beautiful Day in the Neighborhood is third with $13.5 million .
Chadwick Boseman's 21 Bridges and Midway close out the top five with $9.2 million and $4.7 million , respectively.


cpack(1)¶
Synopsis¶
cpack [<options>]
Description¶
The cpack executable is the CMake packaging program. It generates installers and source packages in a variety of formats.
For each installer or package format, cpack has a specific backend,
called “generator”. A generator is responsible for generating the required
inputs and invoking the specific package creation tools. These installer
or package generators are not to be confused with the makefile generators
of the cmake
command.
All supported generators are specified in the cpack-generators
manual. The command cpack --help
prints a
list of generators supported for the target platform. Which of them are
to be used can be selected through the CPACK_GENERATOR
variable
or through the command-line option -G
.
The cpack program is steered by a configuration file written in the
CMake language
. Unless chosen differently
through the command-line option --config
, the file CPackConfig.cmake
in the current directory is used.
In the standard CMake workflow, the file CPackConfig.cmake
is generated
by the cmake
executable, provided the CPack
module is included by the project’s CMakeLists.txt
file.
Options¶
-G <generators>
<generators>
is a semicolon-separated list of generator names.cpack
will iterate through this list and produce package(s) in that generator’s format according to the details provided in theCPackConfig.cmake
configuration file. If this option is not given, theCPACK_GENERATOR
variable determines the default set of generators that will be used.-C <Configuration>
- Specify the project configuration to be packaged (e.g.
Debug
,Release
, etc.). When the CMake project uses a multi-configuration generator such as Xcode or Visual Studio, this option is needed to tellcpack
which built executables to include in the package. -D <var>=<value>
- Set a CPack variable. This will override any value set for
<var>
in the input file read bycpack
. --config <configFile>
- Specify the configuration file read by
cpack
to provide the packaging details. By default,CPackConfig.cmake
in the current directory will be used. --verbose, -V
- Run
cpack
with verbose output. This can be used to show more details from the package generation tools and is suitable for project developers. --debug
- Run
cpack
with debug output. This option is intended mainly for the developers ofcpack
itself and is not normally needed by project developers. --trace
- Put the underlying cmake scripts in trace mode.
--trace-expand
- Put the underlying cmake scripts in expanded trace mode.
-P <packageName>
- Override/define the value of the
CPACK_PACKAGE_NAME
variable used for packaging. Any value set for this variable in theCPackConfig.cmake
file will then be ignored. -R <packageVersion>
- Override/define the value of the
CPACK_PACKAGE_VERSION
variable used for packaging. It will override a value set in theCPackConfig.cmake
file or one automatically computed fromCPACK_PACKAGE_VERSION_MAJOR
,CPACK_PACKAGE_VERSION_MINOR
andCPACK_PACKAGE_VERSION_PATCH
. -B <packageDirectory>
- Override/define
CPACK_PACKAGE_DIRECTORY
, which controls the directory where CPack will perform its packaging work. The resultant package(s) will be created at this location by default and a_CPack_Packages
subdirectory will also be created below this directory to use as a working area during package creation. --vendor <vendorName>
- Override/define
CPACK_PACKAGE_VENDOR
.
--help,-help,-usage,-h,-H,/?
Print usage information and exit.
Usage describes the basic command line interface and its options.
--version,-version,/V [<f>]
Show program name/version banner and exit.
If a file is specified, the version is written into it. The help is printed to a named <f>ile if given.
--help-full [<f>]
Print all help manuals and exit.
All manuals are printed in a human-readable text format. The help is printed to a named <f>ile if given.
--help-manual <man> [<f>]
Print one help manual and exit.
The specified manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.
--help-manual-list [<f>]
List help manuals available and exit.
The list contains all manuals for which help may be obtained by using the
--help-manual
option followed by a manual name. The help is printed to a named <f>ile if given.--help-command <cmd> [<f>]
Print help for one command and exit.
The
cmake-commands(7)
manual entry for<cmd>
is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-command-list [<f>]
List commands with help available and exit.
The list contains all commands for which help may be obtained by using the
--help-command
option followed by a command name. The help is printed to a named <f>ile if given.--help-commands [<f>]
Print cmake-commands manual and exit.
The
cmake-commands(7)
manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-module <mod> [<f>]
Print help for one module and exit.
The
cmake-modules(7)
manual entry for<mod>
is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-module-list [<f>]
List modules with help available and exit.
The list contains all modules for which help may be obtained by using the
--help-module
option followed by a module name. The help is printed to a named <f>ile if given.--help-modules [<f>]
Print cmake-modules manual and exit.
The
cmake-modules(7)
manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-policy <cmp> [<f>]
Print help for one policy and exit.
The
cmake-policies(7)
manual entry for<cmp>
is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-policy-list [<f>]
List policies with help available and exit.
The list contains all policies for which help may be obtained by using the
--help-policy
option followed by a policy name. The help is printed to a named <f>ile if given.--help-policies [<f>]
Print cmake-policies manual and exit.
The
cmake-policies(7)
manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-property <prop> [<f>]
Print help for one property and exit.
The
cmake-properties(7)
manual entries for<prop>
are printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-property-list [<f>]
List properties with help available and exit.
The list contains all properties for which help may be obtained by using the
--help-property
option followed by a property name. The help is printed to a named <f>ile if given.--help-properties [<f>]
Print cmake-properties manual and exit.
The
cmake-properties(7)
manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-variable <var> [<f>]
Print help for one variable and exit.
The
cmake-variables(7)
manual entry for<var>
is printed in a human-readable text format. The help is printed to a named <f>ile if given.--help-variable-list [<f>]
List variables with help available and exit.
The list contains all variables for which help may be obtained by using the
--help-variable
option followed by a variable name. The help is printed to a named <f>ile if given.--help-variables [<f>]
Print cmake-variables manual and exit.
The
cmake-variables(7)
manual is printed in a human-readable text format. The help is printed to a named <f>ile if given.
See Also¶
The following resources are available to get help using CMake:
- Home Page
-
The primary starting point for learning about CMake.
- Online Documentation and Community Resources
https://cmake.org/documentation
Links to available documentation and community resources may be found on this web page.
- Mailing List
https://cmake.org/mailing-lists
For help and discussion about using CMake, a mailing list is provided at<EMAIL_ADDRESS>The list is member-post-only but one may sign up on the CMake web page. Please first read the full documentation at https://cmake.org before posting questions to the list.


Hi there!
Some random text right over here!
- WestJet Encore is a Canadian regional airline that began operations in 2013. It is owned by WestJet Airlines, Ltd. which also is the holding company for WestJet Airlines. The airline is headquartered in Calgary, Alberta. In response to internal market studies about future growth limitations by WestJet Airlines operating only Boeing 737 aircraft, WestJet Encore was formed to allow increased frequency of flights by using smaller aircraft, as well as to expand service to routes with less traffic.
- The airline operates Bombardier Q400 NextGen aircraft, a variant of the Bombardier Dash 8. The airline is the fourth largest operator of the Bombardier Q400 series. Pilot bases are in Calgary and Toronto, where many WestJet Encore flights operate. Air service originally started in Western Canada, but routes in the eastern half of the country were added later.
- The airline is a low-cost carrier. It was initially staffed with non-union employees but the pilots have since unionized. Food is available for purchase. WestJet Encore participates in the WestJet Rewards, a revenue-based frequent flyer program that offers flight discount awards.
| Head 1 |
Header 2 |
| Table data 1 |
Table data in first row Nr. 2 |


About us
Sushiksha
Sushiksha Mentoring Program is organized for scholars of Vishwa Konkani Student Scholarship Fund (VKSSF) by members of VKSSF Alumni Association (VAA). Sushiksha was started in 2018 by Royal Denzil Sequeira, a member of VAA since 2015, with 20 mentees. Since then Sushiksha has grown to be family of 170 mentees and 20 mentors. Mentees of Sushiksha are undergraduate scholars of VKSSF who are determined to thrive and be successful in their area of study and career. Mentors of Sushiksha Program are experienced professionals who were once the scholars of VKSSF and have lived through their own share of successes and failures but believe in empowering the scholars early on in their career path.
Sushiksha thrives because of the dedication of its active mentees and mentors – who have contributed countless hours of work to shape their future and make it a highly productive and focused workspace.
VKSSF Alumni Association (VAA)
VKSSF Alumni Association is a young and vibrant group of alumni VKSSF scholars who have successfully thrived through their undergraduate and graduate studies and are now on their path to be successful professionals.
VAA envisions a community that empowers all its people to live with dignity and fulfillment and be active contributors to society.
Vishwa Konkani Student Scholarship Fund (VKSSF)
'Vishwa Konkani Student Scholarship Fund (VKSSF)’ envisages grant of Merit Cum Means Scholarship for students having Konkani language as their mother tongue. Instituted World Konkani Centre in the year 2010 as envisioned by the eminent thinker and corporate leader T.V.Mohandas Pai, the VKSSF has since then successfully grown into a large programme.


A minimalistic framework for typescript based applications, with async/await and decorators support.
This plugin extends the Server for handling transactional notifications through multiple transports.
# Install using yarn
yarn add git+https://github.com/devnup/ts-framework-notification.git#master
# Install using NPM
npm install --save git+https://github.com/devnup/ts-framework-notification.git#master
Minimal usage:
import { Notification } from 'ts-framework-notification'
const notification = new Notification({
/* Enables the email transport */
email: {
from: process.env.SMTP_FROM,
connectionUrl: process.env.SMTP_URL
},
/* Enables the Firebase transport (optional) */
firebase: {
serviceAccount: require('../service_account.json'), // The service account from Firebase console
databaseURL: 'https://<APP_NAME>.firebase.io'
}
})
/* Prepare a sample Email message */
const email = new Notification.EmailMessage({
to<EMAIL_ADDRESS>subject: 'Welcome aboard!',
text: 'Thank you for creating a new account! https://google.com',
html: 'Thank you for creating a new account! Click here to login'
});
/* Prepare a sample push notification for Firebase transport */
const push = new Notification.FirebaseMessage({
registrationToken: '< THE REGISTRATION TOKEN FOR THE SPECIFIC DEVICE OR ARRAY OF TOKENS >',
title: 'Hello World!',
body: 'This is a simple notification message.',
sound: '< the sound name >',
color: '< the color hex >', // Android only
badge: '< the count for the badge >', // iOS only
// More options in the TS typings...
})
/* Send async messages */
await notification.send(email);
await notification.send(push);
For more examples, check the full specification below.
The Notification module comes with built-in support for the following transports:
nodemailer
and email-templates
modules.firebase-admin
module.Sending a simple html
or plain text
message:
import { Email } from 'ts-framework-notification';
const email = new Email({
from: process.env.SMTP_FROM,
connectionUrl: process.env.SMTP_URL
});
// Send a simple E-mail message
const response = await email.send({
to<EMAIL_ADDRESS>subject: 'Welcome aboard!',
text: 'Thank you for creating a new account! https://google.com',
html: 'Thank you for creating a new account! Click here to login'
});
console.log(response);
Sending a simple email message using the default template.
import { Email } from 'ts-framework-notification';
const email = new Email({
from: process.env.SMTP_FROM,
connectionUrl: process.env.SMTP_URL,
template: {
enabled: true
}
});
// Send an E-mail using the default template (Cerberus)
const response = await email.send({
to<EMAIL_ADDRESS>subject: 'Welcome aboard!',
locals: {
title: 'Simple sender test',
logo: 'https://i.imgur.com/5UMVOBG.jpg',
body: 'Thank you for creating a new account!'
button: {
label: 'Visit your Accoutn',
url: 'https://company.com/account'
},
footer: 'This is a footer',
},
});
console.log(response);
Special thanks to the Cerberus team, that developed a great e-mail template, used here as the default template.
Sending a simple push notification for Android and iOS:
import { Firebase } from 'ts-framework-notification';
const firebase = new Firebase({
serviceAccount: require('../service_account.json'), // The service account from Firebase console
databaseURL: 'https://<APP_NAME>.firebase.io'
});
// Send a simple notification
const response = await firebase.send({
registrationToken: '< THE REGISTRATION TOKEN FOR THE SPECIFIC DEVICE OR ARRAY OF TOKENS >',
title: 'Hello World!',
body: 'This is a simple notification message.',
sound: '< the sound name >',
color: '< the color hex >', // Android only
badge: '< the count for the badge >', // iOS only
// More options in the TS typings...
});
console.log(response);
See the Full documentation in Gihtub.
The project is licensed under the MIT License.
Generated using TypeDoc


Dreams About Your State of Health
Our dreams come to us from our inner mind, our subconscious. Every night we experience this state of mind. We also tap into it any time we meditate, deeply concentrate, or listen to our intuition. The subconscious uses images from our waking life to communicate to us in analogies, in symbols.
The presence of your car in a dream tells you about your health. The car symbolizes your body. A car in your waking life is a vehicle to move your body from place to place. What vehicle moves your mind from place to place – your body!
Dreams About Your Future Possibilities
Dreams can sometimes be precognitive, giving insight into possible future events. One morning I had a brief dream with some very detailed scenery near some train tracks. That same morning, as I was sitting in my car, waiting for a train – I was startled to recognize that I was in the same exact location as my dream! Some people frequently have precognitive dreams. They might be frightened by predicted accidents and illnesses. The important thing to recognize is that these dreams are not set predictions. They are dreams of the possible future, as in the example of Charles Dickens’s infamous Ebenezer Scrooge. It is up to the dreamer to decide what to do with the information in the dream. The individual always has control.
The dreams of yesterday are the hopes of today and the reality of tomorrow. Science has not yet mastered prophecy. We predict too much for the next year and yet far too little for the next ten.
Dreams About The Many Parts of You
If every dream is about the dreamer, than every person is really you! The people in your dreams represent the many different aspects of yourself. When a person pops up in your dream, the first question you want to ask yourself is: “How would I describe this person?” If this person is “kind,” you were utilizing that “kind” part of yourself the day before. However, if you see the person as “lazy” or “stubborn” you may want to take a look at how you were blocked or stagnant that previous day!
Dreams About How You Are Changing...... Death is a new state. If a person dies in your dream, that is a part of you that is changing. Take a look at who has died and look at how they died. Were they killed? Do you know who killed them? Looking at the circumstances of the death, you can decide if this change was wanted or if it felt forced upon you. Knowing who was involved can help you understand what parts of you were involved in this process.
Placeholder text by Space Ipsum. Photographs by NASA on The Commons.


This website template has been designed by Free Website Templates for you, for free. You can replace all this text with your own text. You can remove any link to our website from this website template, you're free to use this website template without linking back to us. If you're having problems editing this website template, then don't hesitate to ask for help on the Forum.
18th Floor, Lorem ipsum dolor Adipiscing Bldg., Quesqui vestibulum Avenue Samar Loop St., Business Park Quisque vestibulum, 6029 +32-819-4560
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quisque vestibulum nibh eget justo dapibus eu porttitor purus hendrerit.
Lorem ipsum dolor sit amet Consectetur adipiscing elituisque


--- layout: post title: Linux and sleep mode wakeup date: "2012-12-23" ---
I just recently battled a long time to get my Windows machine to sleep properly. That is, to automatically go to sleep mode after a timeout, not wake up from sleep mode from useless events like keyboard and mouse, and recover from sleep mode successfully.
In Linux, pretty much everything worked out of the box, even with exotic-ish hardware (Apple Mac Mini), except for not waking up from useless events.
So I had the issue that my Linux desktop was waking up when I touched the mouse or keyboard, this is not a good thing in general, and especially not for me since I have several cats walking around all the time.
I just recently battled for quite a while with Windows to get it to work, and it was somewhat difficult to find useful and relevant information. It was a nice reminder of how great the Linux community is when I had to do the same thing in Linux.
It took a single Google query to find all the data I needed (from the first result), and here is the script that will disable waking up from all events except the power button:
{{< highlight bash >}} for dev in $(cat /proc/acpi/wakeup | grep enabled | cut -f1); do echo $dev > /proc/acpi/wakeup; done {{< /highlight >}}(Run it as root, su -, or sudo -i)
What it does, is list all the enabled wakeup devices (cat /proc/acpi/wakeup | grep enabled), and loop through the items on the first column, then echo the name of the device back to the API to toggle their state to disabled.
They say some devices' state can be reset after a reboot, so it could be useful to put that line in /etc/rc.local or similar file on your system.


Gadget Guru is a young and vibrant company that aims to provide good quality branded products. Gadget Guru caters the Mobiles, Laptops, Cameras and Desktops. At Gadget Guru we strive to achieve the highest level of "Customer Satisfaction" possible. Our cutting edge E-commerce platform, highly experienced buying team, agile warehouse systems and state of the art customer care centre provides customer with:
Broader selection of products Superior buying experience On-time delivery of products Quick resolution of any concerns
We serve verities of electronic gadget products those are
Cameras Mobiles Laptops Desktops
We are planing to launch new products in this year. as early as possible we are going to launch.


High Performance Architechtural Grade Aluminum-Framed Windows & Doors
For over a half-century, Softer Lite’s focus has been High Performance Architectural Grade Aluminum-Framed Windows and Doors. The windows we offer vary from single hung, double hung, horizontal sliding, casement, projected, and fixed. Doors are either sliding glass doors or terrace swing doors. We understand Performance, Usability, Code Requirements, Aesthetics, Finishes, Handle Types, and Your Budget are all important factors when choosing the right products.
We are here to make the process as easy as possible for you. Whether you know exactly what you need, or you’re just starting to explore your building’s options, you’ve come to the right place. We’ll pinpoint exactly which model numbers and specifications are best for your project. From there, the windows and doors are custom-made to fit your building’s unique needs. Softer Lite will take care of the rest because we view peace of mind as an installation standard.
Softer Lite Window Company prides itself in accommodating each project's specific needs, including but not limited to: ADA Compliance (Americans with Disabilities Act), LEED Compliance, Fire-Rating, STC Rating (Sound Transmission Class).


Upload File
Download example.json
Download File
Query metadata
Login
Singup
Online formular:
Email (MANDATORY):
Password (MANDATORY):
PHANTOM project: 2018


Treebank Statistics: UD_Irish: Features: Person
This feature is universal.
It occurs with 3 different values: 1
, 2
, 3
.
1831 tokens (8%) have a non-empty value of Person
.
246 types (4%) occur at least once with a non-empty value of Person
.
94 lemmas (2%) occur at least once with a non-empty value of Person
.
The feature is used with 6 part-of-speech tags: ADP (776; 3% instances), PRON (679; 3% instances), DET (244; 1% instances), VERB (122; 1% instances), X (8; 0% instances), AUX (2; 0% instances).
ADP
776 ADP tokens (20% of all ADP
tokens) have a non-empty value of Person
.
The most frequent other feature values with which ADP
and Person
co-occurred: PronType=EMPTY (720; 93%), Number=Sing (558; 72%).
ADP
tokens may have the following values of Person
:
1
(146; 19% of non-emptyPerson
): liom, agam, againn, dúinn, orm, dom, linn, chugainn, chugam, a’m2
(38; 5% of non-emptyPerson
): leat, agat, duit, ort, agatsa, leatsa, uait, agaibh, asat, oraibh3
(592; 76% of non-emptyPerson
): ann, ina, air, leis, acu, á, dá, aige, orthu, dóEMPTY
(3038): ar, i, ag, le, sa, de, leis, mar, in, chun
| Paradigm ar | 1 | 2 | 3 |
|---|---|---|---|
| Gender=Masc|Number=Sing | air, hair | ||
| Gender=Masc|Number=Sing|Poss=Yes | arna | ||
| Gender=Masc|Number=Sing|PronType=Emp | airsean | ||
| Gender=Fem|Number=Sing | uirthi | ||
| Gender=Fem|Number=Sing|Poss=Yes | arna | ||
| Number=Sing | orm | ort | |
| Number=Plur | orainn | oraibh | orthu, orthú |
PRON
679 PRON tokens (73% of all PRON
tokens) have a non-empty value of Person
.
The most frequent other feature values with which PRON
and Person
co-occurred: PronType=EMPTY (655; 96%), Number=Sing (560; 82%), Gender=Masc (373; 55%).
PRON
tokens may have the following values of Person
:
1
(74; 11% of non-emptyPerson
): mé, muid, mise, sinn, sinne2
(25; 4% of non-emptyPerson
): tú, sibh, thusa, thú, tusa3
(580; 85% of non-emptyPerson
): sé, é, sí, iad, siad, í, ea, seisean, eisean, iseEMPTY
(251): sin, féin, seo, cén, siúd, shin, cad, cé, pé, san
Person
seems to be lexical feature of PRON
. 100% lemmas (17) occur only with one value of Person
.
DET
244 DET tokens (11% of all DET
tokens) have a non-empty value of Person
.
The most frequent other feature values with which DET
and Person
co-occurred: Case=EMPTY (244; 100%), Definite=EMPTY (244; 100%), Poss=Yes (244; 100%), PronType=EMPTY (244; 100%), Number=Sing (189; 77%).
DET
tokens may have the following values of Person
:
1
(43; 18% of non-emptyPerson
): mo, m’, ár2
(19; 8% of non-emptyPerson
): do, d’3
(182; 75% of non-emptyPerson
): aEMPTY
(1890): an, na, seo, sin, aon, eile, gach, cibé, a, a’
VERB
122 VERB tokens (6% of all VERB
tokens) have a non-empty value of Person
.
The most frequent other feature values with which VERB
and Person
co-occurred: Voice=EMPTY (122; 100%), Form=EMPTY (63; 52%), Tense=EMPTY (63; 52%).
VERB
tokens may have the following values of Person
:
1
(62; 51% of non-emptyPerson
): bhíos, rabhas, Táimid, glacaim, leanas, mbeinn, mbínn, Bhíomar, Casaimid, Chaitheamar2
(40; 33% of non-emptyPerson
): féach, déan, cuir, Tabhair, faigh, éist, Amharcaigí, BUAIL, Cheapfá, Lig3
(20; 16% of non-emptyPerson
): bíodh, bhíodar, Chuiridís, Sheoladar, atáid, bheidís, bogadh, chríochnaíodar, chuadar, chuireadarEMPTY
(1789): bhí, tá, raibh, atá, bhfuil, bheidh, beidh, thug, tháinig, mbeidh
| Paradigm bí | 1 | 2 | 3 |
|---|---|---|---|
| Form=Ecl|Mood=Cnd|Number=Sing | mbeinn | ||
| Form=Ecl|Mood=Imp|Number=Sing|Tense=Past | mbínn | ||
| Form=Ecl|Mood=Ind|Number=Sing|Tense=Past | rabhas | ||
| Form=Ecl|Mood=Ind|Number=Plur|Tense=Pres | bhfuilimid | ||
| Form=Emp|Mood=Ind|Number=Sing|Polarity=Neg|Tense=Pres | nílirse | ||
| Form=Emp|Mood=Ind|Number=Sing|PronType=Rel|Tense=Pres | atáimse | ||
| Form=Len|Mood=Cnd|Number=Sing | bheifeá | ||
| Form=Len|Mood=Cnd|Number=Plur | bheidís | ||
| Form=Len|Mood=Ind|Number=Sing|Tense=Past | bhíos | ||
| Form=Len|Mood=Ind|Number=Plur|Tense=Fut | bheimid | ||
| Form=Len|Mood=Ind|Number=Plur|Tense=Past | Bhíomar | bhíodar | |
| Mood=Imp|Number=Sing | bíodh | ||
| Mood=Imp|Number=Sing|Polarity=Neg | bíodh | ||
| Mood=Imp|Number=Plur | bígí | ||
| Mood=Ind|Number=Sing|Polarity=Neg|Tense=Pres | Nílim | ||
| Mood=Ind|Number=Plur|Tense=Pres | Táimid |
X
8 X tokens (3% of all X
tokens) have a non-empty value of Person
.
The most frequent other feature values with which X
and Person
co-occurred: Abbr=EMPTY (8; 100%), Foreign=EMPTY (8; 100%), PronType=EMPTY (8; 100%).
X
tokens may have the following values of Person
:
1
(3; 38% of non-emptyPerson
): Bhraitheas, chuireas, domhsa2
(2; 25% of non-emptyPerson
): dein3
(3; 38% of non-emptyPerson
): fáEMPTY
(257): san, (2), (a), (b), so, (1), (c), (3), (4), Co.
AUX
2 AUX tokens (1% of all AUX
tokens) have a non-empty value of Person
.
The most frequent other feature values with which AUX
and Person
co-occurred: Form=EMPTY (2; 100%), Polarity=EMPTY (2; 100%), PronType=EMPTY (2; 100%), Tense=EMPTY (2; 100%), VerbForm=Cop (2; 100%).
AUX
tokens may have the following values of Person
:
3
(2; 100% of non-emptyPerson
): SéEMPTY
(393): is, ba, gur, ní, nach, b’, gurb, níor, ar, gurbh
Relations with Agreement in Person
The 10 most frequent relations where parent and child node agree in Person
:
VERB –[conj]–> VERB (9; 64%),
PRON –[conj]–> PRON (7; 100%),
ADP –[conj]–> ADP (6; 75%),
X –[conj]–> X (1; 100%).


XLS Tools
An index of XLS developer tools.
bdd_stats
Constructs a binary decision diagram (BDD) using a given XLS function and prints various statistics about the BDD. BDD construction can be very slow in pathological cases and this utility is useful for identifying the underlying causes. Accepts arbitrary IR as input or a benchmark specified by name.
benchmark_main
Prints numerous metrics and other information about an XLS IR file including:
total delay, critical path, codegen information, optimization time, etc. This
tool may be run against arbitrary IR not just the fixed set of XLS benchmarks.
The output of this tool is scraped by run_benchmarks
to construct a table
comparing metrics against a mint CL across the benchmark suite.
booleanify_main
Rewrites an XLS IR function in terms of its ops' fundamental AND/OR/NOT constituents, i.e., makes all operations boolean, thus it's "booleanifying" the function.
codegen_main
Lowers an XLS IR file into Verilog. Options include emitting a feedforward pipeline or a purely combinational block. Emits both a Verilog file and a module signature which includes metadata about the block. The tool does not run any XLS passes so unoptimized IR may fail if the IR contains constructs not expected by the backend.
For a detailed list of codegen options including I/O configurations, please visit the codegen options page.
delay_info_main
Dumps delay information about an XLS function including per-node delay information and critical-path.
eval_ir_main
Evaluates an XLS IR file with user-specified or random inputs. Includes features for evaluating the IR before and after optimizations which makes this tool very useful for identifying optimization bugs.
This tool accepts two [mutually exclusive] optional args,
--input_validator_expr
and --input_validator_path
, which allow the user to
specify an expression to "filter" potential input values to discard invalid
ones. For both, the filter must be a function, named validator
, and must take
params of the same layout as the function under test. This function should
return true if the inputs are valid for the function and false otherwise.
--input_validator_expr
lists the function as an inline command-line argument,
whereas --input_validator_path
holds the path to a .x file containing the
validation function.
ir_minimizer_main
Tool for reducing IR to a minimal test case based on an external test.
ir_stats_main
Prints summary information/stats on an IR [Package] file. An example:
$ bazel-bin/xls/tools/ir_stats_main bazel-genfiles/xls/modules/fp32_add_2.ir
Package "fp32_add_2"
Function: "__float32__is_inf"
Signature: ((bits[1], bits[8], bits[23])) -> bits[1]
Nodes: 8
Function: "__float32__is_nan"
Signature: ((bits[1], bits[8], bits[23])) -> bits[1]
Nodes: 8
Function: "__fp32_add_2__fp32_add_2"
Signature: ((bits[1], bits[8], bits[23]), (bits[1], bits[8], bits[23])) -> (bits[1], bits[8], bits[23])
Nodes: 252
check_ir_equivalence
Verifies that two IR files (for example, optimized and unoptimized IR from the same source) are logically equivalent.
opt_main
Runs XLS IR through the optimization pipeline.
proto_to_dslx_main
Takes in a proto schema and a textproto instance thereof and outputs a DSLX module containing a DSLX type and constant matching both inputs, respectively.
Not all protocol buffer types map to DSLX types, so there are some restrictions or other behaviors requiring explanation:
- Only scalar and repeated fields are supported (i.e., no maps or oneofs, etc.).
- Only recursively-integral messages are supported, that is to say, a message may contain submessages, as long as all non-Message fields are integral.
- Since DSLX doesn't support variable arrays and Protocol Buffers don't
support fixed-length repeated fields. To unify this, all instances of
repeated-field-containing Messages must have the same size of their repeated
members (declared as arrays in DSLX). This size will be calculated as the
maximum size of any instance of that repeated field across all instances in
the input textproto. For example, if a message
Foo
has a repeated fieldbar
, and this message is present multiple times in the input textproto, say as:foo: { bar: 1 } foo: { bar: 1 bar: 2 } foo: { bar: 1 bar: 2 bar: 3 }
the DSLX version of
Foo
will declarebar
has a 3-element array. An accessory field,bar_count
, will also be created, which will contain the number of valid entries in an actual instance ofFoo::bar
.The "Fields" example in
./xls/tools/testdata/proto_to_dslx_main.*
demonstrates this behavior.
repl
Allows you to interactively run various parts of the compiler, including
parsing/type checking (:reload
), lowering/optimization (:ir
), Verilog
codegen (:verilog [identifier]
), and LLVM codegen (:llvm
, not yet
implemented). You can also inspect the IR types of identifiers with :type
,
and even imported identifiers can be accessed with :type foo::bar
.
simulate_module_main
Runs a Verilog block emitted by XLS through a Verilog simulator. Requires both the Verilog text and the module signature which includes metadata about the block.
smtlib_emitter_main
Simple driver for Z3IrTranslator - converts a given IR function into its Z3 representation and outputs that translation as SMTLIB2.
First obtain an XLS IR file:
$ bazel build -c opt //xls/examples:tiny_adder.opt.ir
And then feed that XLS IR file into this binary:
$ bazel run -c opt //xls/tools:smtlib_emitter_main -- --ir_path \
$PWD/bazel-bin/xls/examples/tiny_adder.opt.ir
(bvadd (concat #b0 x) (concat #b0 y))
To turn it into "gate level" SMTLib, we can do a pre-pass through the
booleanify_main
tool:
$ bazel run -c opt //xls/tools:booleanify_main -- --ir_path \
$PWD/bazel-bin/xls/examples/tiny_adder.opt.ir \
> /tmp/tiny_adder.boolified.ir
$ bazel run -c opt //xls/tools:smtlib_emitter_main -- \
--ir_path /tmp/tiny_adder.boolified.ir
(let ((a!1 (bvand (bvor ((_ extract 0 0) x) ((_ extract 0 0) y))
(bvnot (bvand ((_ extract 0 0) x) ((_ extract 0 0) y))))))
(let ((a!2 (bvor (bvand (bvor #b0 #b0) (bvnot (bvand #b0 #b0)))
(bvor (bvand ((_ extract 0 0) x) ((_ extract 0 0) y))
(bvand a!1 #b0))))
(a!3 (bvand (bvand (bvor #b0 #b0) (bvnot (bvand #b0 #b0)))
(bvor (bvand ((_ extract 0 0) x) ((_ extract 0 0) y))
(bvand a!1 #b0)))))
(concat (bvand a!2 (bvnot a!3))
(bvand (bvor a!1 #b0) (bvnot (bvand a!1 #b0))))))
solver
Uses a SMT solver (i.e. Z3) to prove properties of an XLS IR program from the command line. Currently the set of "predicates" that the solver supports from the command line are limited, but in theory it is capable of solving for arbitrary IR-function-specified predicates.
This can be used to uncover opportunities for optimization that were missed, or to prove equivalence of transformed representations with their original version.
cell_library_extract_formula
Parses a cell library ".lib" file and extracts boolean formulas from it that determine the functionality of cells. This is useful for LEC of the XLS IR against the post-synthesis netlist.
dslx/highlight_main
Performs terminal-based color code highlighting of a DSL file.
dslx/type_system/typecheck_main
Dumps type information that has been deduced for a given DSL file.
Development Tools
clang-tidy
For C++ development, you might need a compilation database to have good support
in your IDE. You can create the compile_commands.json
by running this script.
dev_utils/make-compilation-db.sh
To run clang-tidy and create a report of things that might be worthwhile fixing, use the following script:
dev_utils/run-clang-tidy-cached.sh
(Note, this will be pretty slow on the first run, but it caches results and will only reprocess changed files in subsequent runs).
The output of the clang-tidy runs shows up in the xls_clang-tidy.out
file
which is formatted just like an output from a compiler. So to quickly work with
these, you can use cat xls_clang-tidy.out
as your 'compiler invocation' in
your IDE (e.g. M-x compile
in emacs) and step through next-error locations as
usual.
Golden Comparison Files
To re-generate golden reference files (for all test targets that use golden reference file comparisons), run:
dev_utils/rebuild_golden_files.sh


"ARABAH "plain, in the Revised Version of 2 Kings 14:25; Joshua 3:16; 8:14; 2 Samuel 2:29; 4:7 (in all these passages the A.V. has “plain”); Amos 6:14 (A.V. “wilderness”). This word is found in the Authorized Version only in Joshua 18:18. It denotes the hollow depression through which the Jordan flows from the Lake of Galilee to the Dead Sea. It is now called by the Arabs el-Ghor. But the Ghor is sometimes spoken of as extending 10 miles south of the Dead Sea, and thence to the Gulf of Akabah on the Red Sea is called the Wady el-Arabah.
"ARABAH "plain, in the Revised Version of 2 Kings 14:25; Joshua 3:16; 8:14; 2 Samuel 2:29; 4:7 (in all these passages the A.V. has “plain”); Amos 6:14 (A.V. “wilderness”). This word is found in the Authorized Version only in Joshua 18:18. It denotes the hollow depression through which the Jordan flows from the Lake of Galilee to the Dead Sea. It is now called by the Arabs el-Ghor. But the Ghor is sometimes spoken of as extending 10 miles south of the Dead Sea, and thence to the Gulf of Akabah on the Red Sea is called the Wady el-Arabah.


Home
Lessons
About
Resources
Climbing Resources
Climbing gear
Backcountry.com
Moosejaw
REI
Climbing blogs and websites
Climbing.com
Semi-rad
Evening Sends
Contact
<EMAIL_ADDRESS>Mountain View, CA


Mozilla Appmaker
July 5, 2014
In simple Appmaker is browser based tool used for creating simple mobile applications for ourselves for free. You easily drag and drop lot of components which you need for developing your personal application, as of now you cannot expect to develop apps like Angry birds.
Developing is very easy now
We already know it is possible to do drag and drop but to make it still easier just search some others apps and do little modification and give the name which you feel and share it, it will be become yours. Yes we can easily do
My First application for you all readers.
Hint:You can easily remix it and make yours. See the symbol in the right bottom, click on it then hit of Remix now button then after window appears give a name and the text, if possible welcome others also.
My and many people suggestion in creating simple apps
- Invitation which can have a geolocation of the place where event happens.
- Congratulating winners with Fireworks
- More here
- Easiest way is sharing a word about this to friends. So they can try and learn.
- Join the mailing list
- Host a party and teach others.
- When developing if something does not work, file a bug here


“Now he saw it as so similar in shape that it seemed to him for half a second not a face at all, but another back; but this eyed and mouthed as if the living human form ended in a gruesomeness, and had a huge beetle for its head, only a beetle that looked out backward through its coat and had a wide speaking mouth there also; a speaking beetle, an orating beetle, but also a dead and watching beetle. He forgot the aesthetic remark he had been about to make.” — Charles Williams, All Hallows' Eve 1914


Class ReviewWorkflowSubmittalModel
This class is a model representation of a review workflow submittal within the application.
Inheritance
System.Object
ReviewWorkflowSubmittalModel
Inherited Members
System.Object.ToString()
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: Vasont.Inspire.Models.Reviews
Assembly: Vasont.Inspire.Models.dll
Syntax
public class ReviewWorkflowSubmittalModel
Properties
| Improve this Doc View SourceCompletedDate
Gets or sets the date and time that the workflow activity was completed.
Declaration
public DateTime? CompletedDate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Nullable<System.DateTime> |
CreatedDate
Gets or sets the date and time when the workflow activity was created.
Declaration
public DateTime CreatedDate { get; set; }
Property Value
| Type | Description |
|---|---|
| System.DateTime |
ReviewerIds
Gets or sets a list of reviewer identities associated with the submittal.
Declaration
public List<long> ReviewerIds { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.List<System.Int64> |
ReviewId
Gets or sets the identity of the associated review workflow.
Declaration
public long ReviewId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
ReviewWorkflowSubmittalId
Gets or sets the identity of the review workflow submittal.
Declaration
public long ReviewWorkflowSubmittalId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Int64 |
WorkflowActivityId
Gets or sets the identity of the workflow activity.
Declaration
public string WorkflowActivityId { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |
WorkflowActivityName
Gets or sets the name of the workflow activity.
Declaration
public string WorkflowActivityName { get; set; }
Property Value
| Type | Description |
|---|---|
| System.String |


8am-2pm: Check in at Residence Halls - Residence Halls
9am-2pm: NSI Registration/University Fair -
Centennial Plaza
9am-4pm: Business Offices Open -
Webster Commons
11am-1pm: Lunch Vendors Available at Fair
1pm: Athlete Orientation -
Herrick
7pm: Presidents Welcome for Students -
Campus Mall
7pm: Parent Welcome Dinner -
Broadhurst Gym and
BFC Atrium
8:45pm: Candle Lighting Ceremony -
Campus Mall


Made with Udacity
(current)
Contact Me
LinkedIn
Github
Distress Alert Hub
Analyzing message data for Distress response
Classify
{% block message %} {% endblock %}
{% block content %}
Overview of Training Dataset
{% endblock %} {% for id in ids %}
{% endfor %}


{% extends "../main.html" %} {% block header %} {% end %} {% block title %}Settings{% end %} {% block content %}
Avatar File h250 x w500 (Max 1Mb)
Change Avatar
Old Password
New Password
Confirm New Password
A robot may not injure a human being or, through inaction, allow a human being to come to harm - Asimov
Change Password


Welcome to the Amnesty Hypercube alpha preview!
Amnesty Hypercube is a desktop application designed to release web widgets and other embeddable web media (such as Flash games and video) from the confines of the browser.
Amnesty Hypercube is more than just another desktop widget platform – it actually extends Vista's widget space by allowing you to push web widgets into your Sidebar with one click. And if you're a web publisher, Amnesty Hypercube is the ideal place to collect, manage and test widgets before adding them to your blog, home page or social networking profile.
You can learn more about each of these features later on. For now, here are the basics:
| This full screen mode is called the Hypercube. The Hypercube
is an off-desktop environment where you can open, manage and run
widgets, similar to Yahoo! Widget Engine's heads up display. |
|
| The Hypercube is made up of one or more Cubes, each with its own set of widgets. Only one Cube may be visible at a time (right now you are in Cube 1). Use the Control Buttons at the top right of your main monitor to manage widgets inside of the Hypercube. | |
| After you exit the Hypercube and return to your desktop, you can always
get back by selecting Enter Hypercube from
the Amnesty Hypercube menu, accesible from the cube icon that has
been installed in your system tray. |
|
| In addition, you can open, manage and run widgets directly on your desktop. Use the Amnesty Hypercube menu to manage widgets outside of the Hypercube. |
Check out the Info Center for more information about Amnesty Hypercube including detailed Help, FAQs and Known Issues. The Info Center also lists which functions are (and are not) available in the alpha preview. You can access the Info Center by clicking the info control bubble icon in the Hypercube.
By the way, a number of sample widgets will be pre-installed in your Widget Gallery when this window is closed. We'll also go ahead and open one of these widgets in this Cube for you. Close this window to start enjoying the alpha preview.


{% extends 'user/student/course/java/layout.html' %} {% block body %}
Some PCs might have Java already installed.
To check if you have Java installed on a Windows PC, search in the start bar for Java or type the following in Command Prompt (cmd.exe):
C:\Users\Your Name>java -version
If Java is installed, you will see something like this (depending on version):
java version "11.0.1" 2018-10-16 LTS
Java(TM) SE Runtime Environment 18.9 (build 11.0.1+13-LTS)
Java HotSpot(TM) 64-Bit Server VM 18.9 (build 11.0.1+13-LTS, mixed mode)
If you do not have Java installed on your computer, you can download it for free at oracle.com.
Note: In this tutorial, we will write Java code in a text editor. However, it is possible to write Java in an Integrated Development Environment, such as IntelliJ IDEA, Netbeans or Eclipse, which are particularly useful when managing larger collections of Java files.
To install Java on Windows:
Write the following in the command line (cmd.exe):
C:\Users\Your Name>java -version
If Java was successfully installed, you will see something like this (depending on version):
java version "11.0.1" 2018-10-16 LTS
Java(TM) SE Runtime Environment 18.9 (build 11.0.1+13-LTS)
Java HotSpot(TM) 64-Bit Server VM 18.9 (build 11.0.1+13-LTS, mixed mode)
In Java, every application begins with a class name, and that class must match the filename.
Let's create our first Java file, called Main.java, which can be done in any text editor (like Notepad).
The file should contain a "Hello World" message, which is written with the following code:
Main.java
public class Main {
public static void main(String[] args) {
System.out.println("Hello World");
}
}
Don't worry if you don't understand the code above - we will discuss it in detail in later chapters. For now, focus on how to run the code above.
Save the code in Notepad as "Main.java". Open Command Prompt (cmd.exe), navigate to the directory where you saved your file, and type "javac Main.java":
C:\Users\Your Name>javac Main.java
This will compile your code. If there are no errors in the code, the command prompt will take you to the next line. Now, type "java Main" to run the file:
C:\Users\Your Name>java Main
The output should read:
Hello World
Congratulations! You have written and executed your first Java program.
{% endblock %}


{% extends "base.html" %} {% load filters %} {% load usergroups %} {% block bodydata %} data-project-id="{{grouping.project.id}}" data-grouping-id="{{grouping.id}}"{% endblock %} {% block title %} | Data grouping: {{grouping.name}}{% endblock %} {% block main %} {% csrf_token %}
{{ grouping.description|linebreaksbr }}
{% endif %}The project {{ grouping.project.name }} is public, but this data grouping is only accessible by members of user groups you have granted access to.
Grant access to the publicThe project {{ grouping.project.name }} is public and this data grouping is accessible to the public.
Revoke access from the publicWe couldn't find any user groups for this field.
Create a new user group to grant its members access to this data grouping. Otherwise it will only be visible to project administrators.
Create new user group


java.security.AccessControlException
Thrown in stop()
, suspend()
, or resume()
Method of java.lang.Thread
When running an applet in a browser using the Sun Java Runtime Environment (JRE), a java.security.AccessControlException
is thrown in the stop
, suspend
, or resume
method of java.lang.Thread
class as shown in the following code:
java.security.AccessControlException: access denied (java.lang.RuntimePermission modifyThread)
at java.security.AccessControlContext.checkPermission(Unknown Source)
at java.security.AccessController.checkPermission(Unknown Source)
at java.lang.SecurityManager.checkPermission(Unknown Source)
at sun.applet.AppletSecurity.checkAccess(Unknown Source)
at java.lang.Thread.checkAccess(Unknown Source)
at java.lang.Thread.stop(Unknown Source)
at ....
The same applet runs without any error with the Microsoft Virtual Machine (VM).
This exception is caused when a user call these methods on a dead Thread
object in the Sun JRE.
The Java class libraries in the Sun JRE have changed over time. Some APIs have been clarified, some have been deprecated, and some have their implementation altered.
The result of calling stop
, suspend
, and resume
on a dead Thread
object was not well defined. In the Microsoft VM, they result in a no-op. However, in the Sun JRE, calling these methods on a dead Thread
object invalidates the underlying invariant expression of the implementation, thus resulting in an java.security.AccessControlException
.
The Thread
stop
, suspend
, and resume
methods are inherently unsafe and have been deprecated in the Java technology.
Replace calls to stop
, suspend
, and resume
with code that modifies a variable to indicate that the target thread should stop or suspend or resume.
The following examples show how your can replace stop, suspend and resume methods with the alternative code:
For example, assume that your applet contains the following methods:
private Thread blinker; public void start() { blinker = new Thread(this); blinker.start(); } public void stop() { blinker.stop(); // UNSAFE! }
public void destroy() { blinker.stop(); // UNSAFE and WILL throw java.security.AccessControlException in the Sun JRE! } public void run() { Thread thisThread = Thread.currentThread(); while (true) { try { thisThread.sleep(interval); } catch (InterruptedException e){ } repaint(); } }
You can avoid the use of blinker.stop
by modifying the applet's stop
, destroy,
and run
methods as shown in the following code:
private volatile Thread blinker; public void stop() { blinker = null; } public void destroy() { blinker = null; } public void run() { Thread thisThread = Thread.currentThread(); while (blinker == thisThread) { try { thisThread.sleep(interval); } catch (InterruptedException e){ } repaint(); } }
For example consider an applet that has the mousePressed
event handler which toggles the state of a thread called blinker
as shown in the following code:
private boolean threadSuspended; public void mousePressed(MouseEvent e) { e.consume(); if (threadSuspended) blinker.resume(); else blinker.suspend(); // DEADLOCK-PRONE! threadSuspended = !threadSuspended; } public void run() { while (true) { try { Thread.currentThread().sleep(interval); } catch (InterruptedException e){ } repaint(); }
You can avoid the use of blinker.suspend
and blinker.resume
by replacing the event handler with the following code:
private boolean volatile threadSuspended; public synchronized void mousePressed(MouseEvent e) { e.consume(); threadSuspended = !threadSuspended; if (!threadSuspended) notify(); } public void run() { while (true) { try { Thread.currentThread().sleep(interval); if (threadSuspended) { synchronized(this) { while (threadSuspended) wait(); } } } catch (InterruptedException e){ } repaint(); } }
Why Are Thread.stop
, Thread.suspend
, Thread.resume
, and Runtime.runFinalizersOnExit
Deprecated?


‘Ghost Gun’ Used in Deadly LA-Area High School Shooting, Police Say
by NATHAN SOLISLOS ANGELES (CN) – When 16-year-old Nathaniel Tennosuke Berhow shot his classmates at Saugus High School in California on Nov. 14, he used a gun that was not made through conventional means and was not registered, law enforcement revealed Thursday.
The handgun used in the deadly shooting was put together by “kit parts” and not purchased from a gun manufacturer, the Los Angeles County Sheriff’s Department said.
Federal investigators say gun parts purchased online are difficult to trace and have been referred colloquially by the media as “ghost guns” as they can be assembled by individuals with blueprints downloaded online. The gun Berhow used to kill two students and then himself did not have a serial number.
“We have no evidence to indicate who assembled it or bought the components,” said the sheriff’s department. The gun was put together by an individual and not a conventional gun manufacturer and investigators are trying to determine who built the .45-caliber handgun Berhow used.
Gracie Muehlberger, 15, and Dominic Blackwell, 14, were killed after Berhow walked into his school’s outdoor quad shortly after 7:30 a.m. on his 16th birthday, pulled out the handgun from his backpack and began firing at his classmates. In total, Berhow shot five students and then he shot himself in the head. He died the following day at a local hospital.
According to surveillance footage, Berhow appeared to be counting his rounds as fired at his classmates. He did not move from his position or chase anyone down, said LA County Sheriff Alex Villanueva.
“Based on the totality of the circumstances, the way he was firing his weapon, he was counting his rounds, it appeared he knew exactly what he had. Bringing that weapon on campus to begin with, it wasn’t a spur of the moment act,” said Villanueva. “As far as we know, the actual targets were at random.”
Investigators said the entire incident took about 16 seconds from when the first shot was fired.
Investigators have found no clear motive for the shooting.
Federal agents found six guns registered to Berhow’s late father at his home as well as others that were not registered.
Copyright © 2019 courthousenews.com


Viewers praise ‘amazing’ Jacqueline Jossa after Bushtucker Trial success
The soap star secured two stars in Tuesday’s challenge.
Concerned viewers sent messages of support to Jacqueline Jossa as she was reduced to tears by a gruelling I’m A Celebrity Bushtucker Trial.
The actress, best known as Lauren Branning in EastEnders, was terrified as she waited for her turn during Tuesday night’s Face Your Fear trial in the Australian jungle.
All five of the Snake Rock campmates had to put their heads into clear helmets filled with insects, rats and snakes during the test, overseen by Ant McPartlin and Declan Donnelly.
After they discovered viewers had voted for which animals would join them in the helmets, Jossa said: “I feel like this is too soon to cry but I’m going to cry.”
Viewers predicted Jossa, 27, would become the first contestant to shout “I’m A Celebrity… Get Me Out Of Here!” and forfeit the challenge after she discovered her chosen animals were spiders.
But she stunned those at home by solving the puzzle and securing the maximum two stars.
Viewers showed their support for the soap star online.
“What a star! You smashed it Jacqueline Jossa,” wrote one fan.
Another said they were “Absolutely delighted” by Jossa’s performance.
One fan said they “literally sobbed” while watching the Bushtucker Trial.
Other viewers were taken by Jossa’s burgeoning friendship with reality TV star Caitlyn Jenner, with some saying they thought they would get on well with the pair.
“I think I’d get on good with Jacqueline. I’d love to sit with her and Caitlyn and just speak all things Kardashian,” one said.
Another fan was split over which star they wanted to be named Queen of the Jungle.
They said: “I honestly don’t know who i want to win more now. Caitlin because she’s amazing but then i want Jacqueline to as well for just for getting in when them spiders. We will definitely be voting to save them both.”
I’m A Celebrity… Get Me Out Of Here! continues on ITV.


Implementation for Kendall functional principal component analysis. Kendall functional principal component analysis is a robust functional principal component analysis technique for non-Gaussian functional/longitudinal data. The crucial function of this package is KFPCA(). Moreover, least square estimates of functional principal component scores are also provided. The software is distributed under the GNU General Public License.
Download
The package is currently available at r-project.
Citations
Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021). Robust functional principal component analysis for non-Gaussian longitudinal data , Journal of Multivariate Analysis , 104864.
Contact me or Rou Zhong with any questions, comments, or bugs reports.
Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA.
Download
The package is currently available at r-project.
Citations
Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021). SLFPCA: Sparse logistic functional principal component analysis , arxiv
Contact me or Rou Zhong with any questions, comments, or bugs reports.
Sitemap
© 2020 Dr. Jingxiao Zhang. Powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.


Hey there! This site allows you to make music like you would on any piano! Let's make some noise!
Press the S key to make a middle C (or C4), then D to make D4 and so on up until B4 with the K key.
Press the Shift key to make a sharp sound. For example, Press Shift and S to play a middle C#.
Use → to move up piano sections and use ← to move down piano sections. The current section is 4.


class: title-slide, left, middle background-image: url("images/recipes.svg") background-position: 85% 50% background-size: 30% background-color: #F9F8F3 .pull-left[ # Cooking Your Data with Recipes ### Max Kuhn (RStudio, PBC) ### https://github.com/topepo/2021_11_HDSI_RUG ] --- layout: false class: inverse, middle, center # [`tidymodels.org`](https://www.tidymodels.org/) # _Tidy Modeling with R_ ([`tmwr.org`](https://www.tmwr.org/)) --- layout: false class: inverse, middle, center # [`tidymodels.org`](https://www.tidymodels.org/) # _Tidy Modeling with R_ ([`tmwr.org`](https://www.tmwr.org/)) --- # Before we get started, some example data We'll use the Chicago "L" train data today, described in our [_Feature Engineering and Selection_](https://bookdown.org/max/FES/chicago-intro.html) book. Several years worth of pre-pandemic data were assembled to try to predict the daily number of people entering the Clark and Lake elevated ("L") train station in Chicago. For predictors, * the 14-day lagged ridership at this and other stations (units: thousands of rides/day) ⭐ * weather data * home/away game schedules for Chicago teams * the date ⭐⭐⭐ The data are in the `modeldata` package. See `?Chicago`. --- # Loading and splitting the Chicago data ```r library(tidymodels) tidymodels_prefer() data("Chicago") # Save last 14 days as a test set: chi_split <- initial_time_split(Chicago, prop = 1 - (14/nrow(Chicago))) chi_train <- training(chi_split) chi_test <- testing(chi_split) ``` .pull-left[ ```r ggplot(chi_train, aes(ridership)) + geom_histogram(bins = 40, col = "white") ``` ] .pull-right[  ] --- # What is feature engineering? First thing's first: what's a feature? I tend to think of a feature as some representation of a predictor that will be used in a model. Old-school features: * Interactions * Polynomial expansions/splines * PCA feature extraction "Feature engineering" sounds pretty cool, but let's take a minute to talk about _preprocessing_ data. --- # Two types of preprocessing  --- # Two types of preprocessing  --- # Easy examples For example, centering and scaling are definitely not feature engineering. Consider the `date` field in the Chicago data. If given as a raw predictor, it is converted to an integer. Spoiler alert: the date is the most important factor. It can be re-encoded as: * Days since a reference date 😪 * Day of the week ❤❤❤❤ * Month 😪 * Year ❤❤ * Indicators for holidays ❤❤❤ * Indicators for home games for NFL, NBA, etc. 😪 --- # Original column  --- # Features  (At least that's what we hope the difference looks like.) --- # Or, in case you are anime/manga fans .pull-left[ Original Column:  ] .pull-right[ Feature:
  ] --- # General definitions * _Data preprocessing_ are the steps that you take to make your model successful. * _Feature engineering_ are what you do to the original predictors to make the model do the least work to predict the outcome as well as possible. We'll demonstrate the recipes package for all of your data needs. --- # Recipes prepare your data for modeling The package is extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models. --- # A first recipe ```r chi_rec <- recipe(ridership ~ ., data = chi_train) # If ncol(data) is large, you can use # recipe(data = chi_train) ``` Based on the formula, the function assigns columns to roles of "outcome" or "predictor" ```r summary(chi_rec) ``` ``` ## # A tibble: 50 × 4 ## variable type role source ## <chr> <chr> <chr> <chr> ## 1 Austin numeric predictor original ## 2 Quincy_Wells numeric predictor original ## 3 Belmont numeric predictor original ## 4 Archer_35th numeric predictor original ## 5 Oak_Park numeric predictor original ## 6 Western numeric predictor original ## # … with 44 more rows ``` --- # A first recipe - work with dates ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% * step_date(date, features = c("dow", "month", "year")) ``` This creates three new columns in the data based on the date. Note that the day-of-the-week and month columns will be factors. --- # A first recipe - work with dates ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% * step_holiday(date) ``` Add indicators for major holidays. Specific holidays, especially those ex-US, can also be generated. At this point, we don't need `date` anymore. Instead of deleting it (there is a step for that) we will change its _role_ to be an identification variable. --- # A first recipe - work with dates ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% * update_role(date, new_role = "id") ``` `date` is still in the data set but tidymodels knows not to treat it as an analysis column. --- # A first recipe -create indicator variables ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% * step_dummy(all_nominal_predictors()) ``` For any factor or character predictors, make binary indicators. There are _many_ recipe steps that can convert categorical predictors to numeric columns. --- # A first recipe - filter out constant columns ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% * step_zv(all_predictors()) ``` In case there is a holiday that never was observed, we can delete any _zero-variance_ predictors that have a single unique value. Note that the selector chooses all columns with a role of "predictor" --- # A first recipe - normalization ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% step_zv(all_predictors()) %>% * step_normalize(all_numeric_predictors()) ``` This centers and scales the numeric predictors. Note that this will use the training set to estimate the means and standard deviations of the data. All data put through the recipe will be normalized using those statistics (there is no re-estimation). --- # A first recipe - reduce correlation ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% step_zv(all_predictors()) %>% step_normalize(all_numeric_predictors()) %>% * step_corr(all_numeric_predictors(), threshold = 0.85) ``` To deal with highly correlated predictors, find the minimum predictor set to remove to make the pairwise correlations are less than 0.85. This can be optimized by using a value of `tune()`. --- # Other possible steps ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% step_zv(all_predictors()) %>% step_normalize(all_numeric_predictors()) %>% * step_pca(all_of(stations)) ``` PCA feature extraction on the columns named in the character vector `stations`. (We'll use this version of the recipe in a minute) --- # Other possible steps ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% step_zv(all_predictors()) %>% step_normalize(all_numeric_predictors()) %>% * step_umap(all_numeric_predictors(), outcome = ridership) ``` A fancy machine learning supervised dimension reduction technique --- # Other possible steps ```r chi_rec <- recipe(ridership ~ ., data = chi_train) %>% step_date(date, features = c("dow", "month", "year")) %>% step_holiday(date) %>% update_role(date, new_role = "id") %>% step_dummy(all_nominal_predictors()) %>% step_zv(all_predictors()) %>% step_normalize(all_numeric_predictors()) %>% * step_ns(Clark_Lake, deg_free = 10) ``` Nonlinear transforms like _natural splines_ and so on. --- # Recipes are estimated _Every_ preprocessing step in a recipe that involved calculations uses the _training set_. For example: * Levels of a factor * Determination of zero-variance * Normalization * Feature extraction and so on. Once a a recipe is added to a workflow, this occurs when `fit()` is called. --- # Recipes follow this strategy  This also means that when resampling is used, the recipe is repeatedly estimated (along with the model) on slightly different versions of the training set. This enables more realistic performance measures. **Workflow** objects are a great way to bind a model and preprocessor (e.g. recipe, formula, etc.). --- # Adding recipes to workflows Let's stick to a linear model for now and add the PCA recipe (instead of a formula): .code70[ ```r lm_spec <- linear_reg() chi_wflow <- workflow() %>% add_model(lm_spec) %>% add_recipe(chi_rec) chi_wflow ``` ``` ## ══ Workflow ═════════════════════════════════════════════════════════════════════════ ## Preprocessor: Recipe ## Model: linear_reg() ## ## ── Preprocessor ───────────────────────────────────────────────────────────────────── ## 6 Recipe Steps ## ## • step_date() ## • step_holiday() ## • step_dummy() ## • step_zv() ## • step_normalize() ## • step_pca() ## ## ── Model ──────────────────────────────────────────────────────────────────────────── ## Linear Regression Model Specification (regression) ## ## Computational engine: lm ``` ] --- # Estimate via `fit()` Fitting encompasses estimating the recipe and the model. ```r chi_fit <- chi_wflow %>% fit(chi_train) chi_fit %>% tidy() %>% slice_tail(n = 6) ``` ``` ## # A tibble: 6 × 5 ## term estimate std.error statistic p.value ## <chr> <dbl> <dbl> <dbl> <dbl> ## 1 date_month_Dec -0.132 0.0410 -3.21 1.33e- 3 ## 2 PC1 0.0477 0.0193 2.47 1.36e- 2 ## 3 PC2 -0.861 0.112 -7.68 1.80e-14 ## 4 PC3 -0.682 0.101 -6.79 1.25e-11 ## 5 PC4 -0.207 0.0959 -2.16 3.08e- 2 ## 6 PC5 0.00751 0.124 0.0605 9.52e- 1 ``` --- # Prediction When `predict()` is called, the fitted recipe is applied to the new data before it is predicted by the model: ```r predict(chi_fit, chi_test) ``` ``` ## # A tibble: 14 × 1 ## .pred ## <dbl> ## 1 20.4 ## 2 21.3 ## 3 21.6 ## 4 21.3 ## 5 20.7 ## 6 8.23 ## # … with 8 more rows ``` You don't need to do anything else --- # Debugging a recipe 90% of the time, you will want to use a workflow to estimate and apply a recipe. If you have an error, the original recipe object (e.g. `chi_rec`) can be estimated manually with a function called `bake()` (analogous to `fit()`). This returns the fitted recipe. This can help debug any issues. Another function (`bake()`) is analogous to `predict()` and gives you the processed data back. The [tidymodels book](https://www.tmwr.org/dimensionality.html#recipe-functions) has more details on debugging. --- # Fun facts about recipes * Once `fit()` is called on a workflow, changing the model does not re-fit the recipe. * A list of all known steps is [here](https://www.tidymodels.org/find/recipes/). * Some steps can be [skipped](https://recipes.tidymodels.org/articles/Skipping.html) when using `predict()`. * The [order](https://recipes.tidymodels.org/articles/Ordering.html) of the steps matters. * There are recipes-adjacent packages with more steps: embed, timetk, textrecipes, and others. * There are a lot of ways to handle [categorical predictors](https://recipes.tidymodels.org/articles/Dummies.html) even those with novel levels. * Several dplyr steps exist, such as `step_mutate()`. --- # A natural language processing example Julia and Emil have written an amazing text processing book: [_Supervised Machine Learning for Text Analysis in R_](https://smltar.com/) (SMLTAR) and we can use textrecipes for processing the raw text data. We'll use some example data on amazon reviews to demonstrate ```r library(textrecipes) data(small_fine_foods) # outcomes: str(training_data$score) ``` ``` ## Factor w/ 2 levels "great","other": 2 1 1 1 1 1 2 1 1 1 ... ``` ```r # example review: strwrap(training_data$review[[10]], width = 80) ``` ``` ## [1] "One of the nicest, smoothest cup of chai I've made. Nice mix of spices, largest" ## [2] "overtone is the cardamom, but since i do like a half/half of tea with milk or" ## [3] "soy milk as my chai drink, this is a good base for me." ``` --- # Split the text into tokens ```r recipe(score ~ review, data = training_data) %>% * step_tokenize(review) ``` By default, it splits by spaces so that tokens = words. There are many steps that do not require tokenization so this is optional. --- # Remove stop words? ```r recipe(score ~ review, data = training_data) %>% step_tokenize(review) %>% * step_stopwords(review) ``` These are words like "a", "the", etc. An option but it [may or may not help](https://smltar.com/stopwords.html). --- # Stem tokens? ```r recipe(score ~ review, data = training_data) %>% step_tokenize(review) %>% * step_stem(review) ``` Stemming reduces words to a common core. For example, removing "ing$", "ed$", "s$", "ly$" and so on. Also [optional](https://smltar.com/stemming.html). --- # Filter tokens by frequency ```r recipe(score ~ review, data = training_data) %>% step_tokenize(review) %>% * step_tokenfilter(review, min_times = tune(), max_tokens = tune()) ``` You can tune/optimize the number of tokens to retain using the value of `tune()` or assign a specific value. --- # Convert to numeric features (pt 1) ```r recipe(score ~ review, data = training_data) %>% step_tokenize(review) %>% step_tokenfilter(review, min_times = tune(), max_tokens = tune()) %>% * step_tfidf(review) ``` Term frequency–inverse document frequency encodings weight each token frequency by the inverse document frequency to produce a numeric feature. --- # Convert to numeric features (pt 2) ```r recipe(score ~ review, data = training_data) %>% step_tokenize(review) %>% step_tokenfilter(review, min_times = tune(), max_tokens = tune()) %>% * step_texthash(review, num_terms = tune()) ``` [Feature hashing](https://smltar.com/mlregression.html#case-study-feature-hashing) produces values that are similar to dummy/indicator variables (per token) but does not generate all possible values. There is a lot more that can be done with text and I highly recommend taking a look at [SMLTAR](https://smltar.com/). --- # Thanks Thanks for the invitation to speak today! The tidymodels team: Davis Vaughan, Julia Silge, and Hanna Frick. Special thanks for the other folks who contributed so much to tidymodels: Edgar Ruiz, Emil Hvitfeldt, Alison Hill, Desirée De Leon, and the tidyverse team. These slides were made with the [`xaringan`](https://bookdown.org/yihui/rmarkdown/xaringan.html) package and styled by Alison Hill.


InputBarButtonItem
open class InputBarButtonItem : UIButton, InputItem
A InputItem that inherits from UIButton
Important Notes
- Intended to be used in an
InputStackView
-
The spacing properties of the InputBarButtonItem
- fixed: The spacing is fixed
- flexible: The spacing is flexible
- none: There is no spacing
Declaration
Swift
public enum Spacing
-
Undocumented
Declaration
Swift
public typealias InputBarButtonItemAction = ((InputBarButtonItem) -> Void)
-
A weak reference to the InputBarAccessoryView that the InputBarButtonItem used in
Declaration
Swift
open weak var inputBarAccessoryView: InputBarAccessoryView?
-
The spacing property of the InputBarButtonItem that determines the contentHuggingPriority and any additional space to the intrinsicContentSize
Declaration
Swift
open var spacing: InputBarButtonItem.Spacing { get set }
-
Undocumented
Declaration
Swift
open override var intrinsicContentSize: CGSize { get }
-
A reference to the stack view position that the InputBarButtonItem is held in
Declaration
Swift
open var parentStackViewPosition: InputStackView.Position?
-
The title for the UIControlState.normal
Declaration
Swift
open var title: String? { get set }
-
The image for the UIControlState.normal
Declaration
Swift
open var image: UIImage? { get set }
-
Calls the onSelectedAction or onDeselectedAction when set
Declaration
Swift
open override var isHighlighted: Bool { get set }
-
Calls the onEnabledAction or onDisabledAction when set
Declaration
Swift
open override var isEnabled: Bool { get set }
-
Undocumented
Declaration
Swift
public convenience init()
-
Undocumented
Declaration
Swift
public override init(frame: CGRect)
-
Undocumented
Declaration
Swift
required public init?(coder aDecoder: NSCoder)
-
Sets the size of the InputBarButtonItem which overrides the intrinsicContentSize. When set to nil the default intrinsicContentSize is used. The new size will be laid out in the UIStackView that the InputBarButtonItem is held in
Declaration
Swift
open func setSize(_ newValue: CGSize?, animated: Bool)
Parameters
newValue
The new size
animated
If the layout should be animated
-
Used to setup your own initial properties
Declaration
Swift
@discardableResult open func configure(_ item: InputBarButtonItemAction) -> Self
Parameters
item
A reference to Self
Return Value
Self
-
Sets the onKeyboardEditingBeginsAction
Declaration
Swift
@discardableResult open func onKeyboardEditingBegins(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onKeyboardEditingBeginsAction
Return Value
Self
-
Sets the onKeyboardEditingEndsAction
Declaration
Swift
@discardableResult open func onKeyboardEditingEnds(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onKeyboardEditingEndsAction
Return Value
Self
-
Sets the onKeyboardSwipeGestureAction
Declaration
Swift
@discardableResult open func onKeyboardSwipeGesture(_ action: @escaping (_ item: InputBarButtonItem, _ gesture: UISwipeGestureRecognizer) -> Void) -> Self
Parameters
action
The new onKeyboardSwipeGestureAction
Return Value
Self
-
Sets the onTextViewDidChangeAction
Declaration
Swift
@discardableResult open func onTextViewDidChange(_ action: @escaping (_ item: InputBarButtonItem, _ textView: InputTextView) -> Void) -> Self
Parameters
action
The new onTextViewDidChangeAction
Return Value
Self
-
Sets the onTouchUpInsideAction
Declaration
Swift
@discardableResult open func onTouchUpInside(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onTouchUpInsideAction
Return Value
Self
-
Sets the onSelectedAction
Declaration
Swift
@discardableResult open func onSelected(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onSelectedAction
Return Value
Self
-
Sets the onDeselectedAction
Declaration
Swift
@discardableResult open func onDeselected(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onDeselectedAction
Return Value
Self
-
Sets the onEnabledAction
Declaration
Swift
@discardableResult open func onEnabled(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onEnabledAction
Return Value
Self
-
Sets the onDisabledAction
Declaration
Swift
@discardableResult open func onDisabled(_ action: @escaping InputBarButtonItemAction) -> Self
Parameters
action
The new onDisabledAction
Return Value
Self
-
Executes the onTextViewDidChangeAction with the given textView
Declaration
Swift
open func textViewDidChangeAction(with textView: InputTextView)
Parameters
textView
A reference to the InputTextView
-
Executes the onKeyboardSwipeGestureAction with the given gesture
Declaration
Swift
open func keyboardSwipeGestureAction(with gesture: UISwipeGestureRecognizer)
Parameters
gesture
A reference to the gesture that was recognized
-
Executes the onKeyboardEditingEndsAction
Declaration
Swift
open func keyboardEditingEndsAction()
-
Executes the onKeyboardEditingBeginsAction
Declaration
Swift
open func keyboardEditingBeginsAction()
-
Executes the onTouchUpInsideAction
Declaration
Swift
@objc open func touchUpInsideAction()
-
An InputBarButtonItem that’s spacing property is set to be .flexible
Declaration
Swift
public static var flexibleSpace: InputBarButtonItem { get }
-
An InputBarButtonItem that’s spacing property is set to be .fixed with the width arguement
Declaration
Swift
public static func fixedSpace(_ width: CGFloat) -> InputBarButtonItem


{% extends "landing.html" %} {% block title %}BottomLine{% endblock %} {% block content %}
Sign up for a new vehicle shopper account. Looking to sign up as a new car dealer? Please use our dealer signup page instead.
Create Account!


Only admin can create products. Thanks!