Barbados Marathon
Bridgetown BAR
Website: www.runbarbados.org
Race Winners
(32 runnings)
3:04:47 2:53:21 3:13:34 3:02:11 02 Dec
2007
2:26:27
3:02:15
03 Dec
2006
2:29:49
3:05:36
04 Dec
2005
2:29:15
3:05:00
05 Dec
2004
2:34:10
3:31:24
07 Dec
2003
2:32:50.4
2:55:11.0
01 Dec
2002
2:38:12.6
3:24:15.3
02 Dec
2001
2:31:52.8
3:10:08.0
03 Dec
2000
2:27:40
3:10:43
05 Dec
1999
2:30:04
n/a
06 Dec
1998
2:28:02
2:56:21
07 Dec
1997
2:31:12
2:57:19
08 Dec 1996
2:29:32
2:54:59
03 Dec
1995
2:28:52
2:50:17
04 Dec
1994
2:27:36
2:58:42
05 Dec
1993
2:24:10
2:56:44
06 Dec
1992
2:23:09
2:53:56
08 Dec
1991
2:22:33
2:54:05
02 Dec
1990
2:23:21
2:48:33
1989
n/a
2:50:21
04 Dec
1988
2:29:40
2:44:40
06 Dec 1987
2:29:42
2:55:39
07 Dec 1986
2:24:54
2:55:47
08 Dec 1985
2:28:45
3:24:07
02 Dec
1984
2:24:35
---
04 Dec 1983
2:45:58 ---
Note: 1983 was the inaugural year. The course for 1983-2011 was
point-to-point. The 2015 course is twice over out-and-back.
03 Dec
2017
2:36:13
Paul Schmidt
(GER)
3:03:45
Felix Fanja
(MRQ)
04 Dec
2016
2:36:14.4
Jean-Damascene
Habarurema (FRA)
3:27:25.4
Amy Chalk-5
06 Dec
2015
2:45:44.9
Curtis Cox
(TRI)
3:12:46.5
Amy Chalk-4
2012-2014
---
not held
---
not held
04 Dec
2011
2:36:58
Richard Tirop
Kessio-2
Leah Chebiwot Kigen (KEN)
05 Dec
2010
2:29:49
Richard Tirop Kessio (KEN)
Mary Akor (CA/USA)
06 Dec
2009
2:32:29
Victor Ledger-5
Peninah Sawe (KEN)
07 Dec
2008
2:25:15
Pamenos
Ballantyne-3
Amy Chalk-3
Victor Ledger-4
Amy Chalk-2
Victor Ledger-3
Josiane Abougone (GAB)
Jared Nyamboki (KEN)
Amy Chalk-Stiles (ENG)
Victor Ledger-2
Kim Marie Goff-11
Wilson Komen (KEN)
Nicole Stevenson (CAN)
Cantius Thomas (TRI)
Kim Marie Goff-10
Joseph Ndiritu (KEN)
Kim Marie Goff-9
Benedict Ballantyne (STV)
Kim Marie Goff-8
Pamenos Ballantyne-2
Kim Marie Goff-7
Pamenos Ballantyne (STV)
Kim Marie Goff-6
Eddy Hellebuyck (BEL)
Kim Marie Goff-5
Hugh Jones-6
Kim Marie Goff-4
Victor Ledger (STL)
Kim Marie Goff-3
Hugh Jones-5
Kim Marie Goff-2
Hugh Jones-4
Kim Marie Goff (RI/USA)
Hugh Jones-3
Gillian Horovitz-2
Hugh Jones-2
Gillian Horovitz (ENG)
Hugh Jones (ENG)
Laura Konantz-5
Adelbert Browne (BAR)
Laura Konantz-4
Reuben McCollin (BAR)
Laura Konantz-3
Franco Borelli (ITA)
Laura Konantz-2
Peter Maher (CAN)
Laura Konantz (CAN)
Peter Hermans (BEL)
nfn Folsom (USA)
Jeffrey Martin (CAN)
n/a
Bruce Lauckner (TRI)
n/a
Most Wins
(1983/date)
Men
6
Hugh Jones (ENG)
1990-94,1996
Women
11
Kim Marie Goff (RI/USA)
1993-2002,2004
Prize Money
(ADR qualified runners)
Year Men Women Total
2017 $4,750 $4,500 $9,250
2016 4,615 5,385 10,000
2015 1,275 1,275 2,550
2011 3,750 2,875 6,625
2010 10,000 9,500 19,500
....
2001 1,755 1,005 2,760
....
1998 2,400 2,400 4,800
1997 1,550 1,550 3,100
1996 1,500 1,100 2,600
....
1991 1,500 3,100 4,600
Sums $33,095 $32,690 $65,785
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men No men under 2:20 Women <2:46 1 <2:48 1 <2:50 2
Last Updated on 05 Dec 2017
Contributors: Franco Civai (1), Maurice Wilson (19), Juraj Gasparovic (3), Bernard Linley (2), Klaas Loonstra (5), Kristina Evelyn


This is a simple dashboard boilerplate, created using MEAN stack and Bootstrap v4.
Express is a minimal and flexible Node.js web application framework that provides a robust set of features for web and mobile applications.
MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need.
Angular is a development platform for building mobile and desktop web applications.


L.S.D. Ultra Lights (tm)
Today's principal argument of prohibitionists fighting against free psychoactives use is a possible impact on user's health. One may remember how many lab studies and mass media discussions it took to widely accept the obvious point of view that cannabis could hardly do more harm to the human body than alcohol or tobacco were actively doing. Now those vigilantists have switched over to so called 'hard drugs,' shamelessly utilizing the fact that an average, square citizen will tremble in fear as soon as he hears the word 'ecstasy' or 'L.S.D.' (Castration! Double castration!) The masses take for sure that the only thing lurking behind the use of syntetic psychoactives is the ravaged mind and body. And that's while exactly the same masses are consuming tons of fishy substances from Bayer and company, substances essentially not curing any vulgar disease, but advertised instead to grant eternal life and youth. (No heroin addict of the lowest grade would ever believe in such bullshit.)
Luckily, the opposition has a decent answer. Modern clandestine chemistry has created a number of substances that give mild and quality mind food to a modest user. The species in question, 2C-D, appears to be one of them.
The most remarkable traits of this curious drug are its short-livingness and lightness on both mind and body. Among other things, this means a very easy come-back. Despite its softness, experiences from 2C-D remind very closely those from its well-studied analog, 2C-B. Therefore 2C-D can be used as a 'training drug' for those who are new to psychedelics. Due to its delicacy, 2C-D may appear of certain commercial potential to clandestine drug suppliers, who currently are paying less and less attention to actual psychedelics in favour of stimulants and opiates. If 'acid is ... the Studebaker of the drug market,' 2C-D could be the New Beetle of it.
My friends and I have had a number of experiences with 2C-D. I think I should not delve into describing our feelings during the trips for I would just repeat words of more talented authors on 2C-B. Again, these two drugs yield very similar experiences. So I'm going to describe dosages and
durations instead, which are more important to the interested community.
A minimal oral dose appears to be about 40 mg and seems to depend more on diet and personal peculiarities than on body weight. It may be increased considerably by having had alcohol shortly before a trip, so avoid drinking much before this drug. (As a matter of fact, not abusing booze is a good idea in general; but who knows what turn a party can take?..) Duration will be about 3.5 hours, consisting of roughly 1 hour of onset, 1.5 hours of plateau and 1 hour of come-back. A trip can be somewhat prolonged by taking additional small amounts of the drug, e.g., insufflated; but
because of the instability of 2C-D within the human body (must be due to its eager oxidation with the aid of the increasing amount of MAO,) this won't produce much effect, so better keep it for the next time unless you have a bit of cannabis (see the next paragraph.)
An intramuscular dose is about 20 mg for a 170 lb person. The experience will be sharper than that in the oral case; it will last approximately for an hour and a half (not counting mild after-effects.) At the end of the active phase, a little cannabis can be smoked (a small bowl or two, depending on available weed's potency) to produce a deep synergic state, which can be developed further by taking as little as 15 mg of 2C-D insufflated. (A 120 lb person who snorted 20 mg for the second time tells it was a bit too much and later caused a headache.) This cannabis plus 2C-D synergy is noteworthy and analogous to that between cannabis and 2C-B.
A pure intranasal experience has not been attempted, but from the above figures an i.n. dose can be estimated at 25-30 mg. Unlike 2C-B, 2C-D causes fairly little unpleasant feelings when taken through the nose.
Independent of the route 2C-D has been administered by, a healthy person will be able to have a normal yet somewhat shortened sleep as soon as the drug's effects fade. On taking 2C-D i.m., I could sleep at T+2:00, with a bowl of grass smoked at T+1:00.
Please keep in mind that exact dosage, duration and effects of any drug depend heavily on particular person's current physical and mental state, so be careful and apply the above to yourself with a grain of salt.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


JSON Editor
Delete Rule
Save
Triggers
Trigger
Choose...
Trigger param
Operator
=
<
>
Trigger value
.
Hour
Minute
Week days
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
.
Use 24 hour format and verify the API time zone.
Targets
Target
Choose...
Target param
Target value
.


Markdown is a lightweight and easy-to-use syntax for styling Remark comments. You control the display of the comment, formatting words as bold or italic, adding images, and creating lists are just a few of the things we can do with Markdown.
Headers & Quotes
Sometimes it's useful to have different levels of headings to structure your comments. Start lines with a `#` to create headings.
You can use one `#` all the way up to `######` six for different heading sizes.
If you’d like to quote someone, use the > character before the line
Text
It's very easy to make some words bold: surround them with double asterisks ** and other words italic: surround them with one asterisk *.
You can even link to Google! using this syntax:
[link to Google!](https://google.com)
Lists
If you want numbered lists:
1. One
2. Two
3. Three
3.1. Item 3.1
3.2. Item 3.2
If you want bullet point
* Item 1
* Item 2
* Item 2a
* Item 2b
Images
If you want to embed images, this is how you do it:
![Image of my cat](https://placekitten.com/400/400)
Code
You can create code span by wrapping text in backtick quotes: `your code`
Tables
You can create tables by assembling a list of words and dividing them with hyphens - (for the first row), and then separating each column with a pipe |:
|First Header | Second Header| |------------ | -------------| |Content from cell 1 | Content from cell 2| |Content in the first column | Content in the second column|


Common Workouts List
- 30min Ab Buster
- 100 Squats
- 50 Push ups
- 15min Skip Rope
- 50 High Knees
(drag and drop items you wish to add to your list)
My To Do List
Groceries:
Workouts:
Other:
Common Groceries List
- Milk
- White Bread
- Eggs
- Margarita Mix
- GARLIC
- pumkin
- Beer
- Cheese that smells like feet
- 1 olive
- CHIPS
(drag and drop items you wish to add to your list)


{% extends 'djangoapp/page-template.html' %} {% block head %} {% endblock %} {% block content %}
Welcome to Best Cars dealership, home to the best cars in North America. We sell domestic and imported cars at reasonable prices.


TIW-Exam 2020
Welcome back,
Logout
Album images
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Next
Albums
Back to the homepage
Image details
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Comments
Author
Comment
Add a comment
Comment


On this page will be documentation about creating Hakku framework modules.
Here are few commands that can be useful when developing a module.
new module
This command creates a new module from the template.
usage:
reload
This command reloads the currently loaded or specified module.
usage:
check module
Does basic checks to the module (variables and functions).
usage:
redb
Add new modules to the database.
usage:
Don’t use print(), use functions below to print.
List of functions:
These functions have optional arguments start and end for defining line beginning and ending.
Please use the colour pallet from “core/colors”.
from core import colors
print(colors.blue+"hello world"+colors.end)
List of colours:
purple
blue
green
cyan
yellow
red
end
bold (bold text) uline (underline)
= {
customcommands "example": "example command"
}
This variable holds a description for the “example” command and lets the framework know this command exists.
Custom command function should always have one argument:
def example(args):
To print some messages when the module is loaded, use the message variable.
= "hello world" message
If the module needs root privileges, add this variable:
= 1 needroot
Use prebuild function to modify module variables at runtime (the OrderedDict variables).
from core.setvar import *
'variable', 'value', variables) setvar(
from core import getpath
getpath module finds absolute paths to various locations.
List of functions:
Example usage:
from core import getpath
print(getpath.db())
init function will be executed if it exists when the module is loaded.
Example:
def init():
print('hello world')


Confidence comes standard with all Cleantec fuel dispensing quipment, because as the leading experts, our fuel dispensers deliver proven reliability and profitability.

Whether you're looking to freshen up your forecourt, offer flexible fuel or market in-store
coupons from the gas pump, Cleantec has the perfect solution.
See our Gallery
Characteristicas Tecnicas
Characteristicas Tecnicas
Characteristicas Tecnicas
Characteristicas Tecnicas
It contains LPG tankk, LPG dispenser, LPG filling scale, LPG pummp, Control box, Leakage detection, water cooling system, level meter and valves as complete set on the skid, avaiable for filling LPG vehicles and LPG cooking/camping cylinder


Synopsis
This project is intended to serve a maven server which provides API to deploy/fetch JARs and AARs for android developers, just like as CPAN, rubygems, and npm.
Authors
This project is developed by @gfx.
This project is intended to serve a maven server which provides API to deploy/fetch JARs and AARs for android developers, just like as CPAN, rubygems, and npm.
This project is developed by @gfx.


This is a simple minimal registry for RDF datasets, where you can find respective download and SPARQL endpoint locations and register your own datasets.
This is not a generic dataset repository where you can add arbitrary data and describe them in detail.
To offer a dedicated repository for RDF datasets together with references to where to get the actual data and respective meta data. Clients can then discover the datasets and their relations by querying the Sparql Endpoint.
Want to share an RDF dataset hosted as a download and/or in a SPARQL endpoint? Register it here! If applicable, add relations to other datasets, such as 'isVoidDescriptionOf'.


| ClientCertificate |
Extract the HTTPS Client Certificate from the request
|
| ContentBody |
Set the return value in the content body with an optional content-type
|
| ContentLocationHeader |
Set the method return value into the Content-location response header as String or URL.
|
| ContextUrl |
Extract the context URL into the parameter as URL or String
|
| HttpHeader |
When used on a parameter, maps the HTTP Request header to the parameter, converting the type if necessary.
|
| HttpResponseHeader |
Maps the return value to the specified HTTP Response header
|
| IfModifiedSince |
|
| LastModified |
|
| PathParam |
Maps part of the HTTP request target to the parameter, converting the type if necessary.
|
| QueryString |
Maps the raw query part of the HTTP request target to the parameter.
|
| RequestParam |
Maps the HTTP request parameter to the parameter, converting the type if necessary.
|
| RequestParam.ClientIp |
Maps the HTTP client IP to the parameter as String.
|
| RequestParam.RemoteUser |
NOT SUPPORTED ON JdkHttpExchange.
|
| RequireUserRole |
|
| SendRedirect |
Maps the method response value as an HTTP 302 redirect, supporting Strings and URLs.
|
| ServletUrl |
|
| SessionParameter |
Maps the parameter to the specified servlet session.
|
| UnencryptedCookie |
Maps the parameter to the specified HTTP request cookie, URL decoding and converting the type if necessary.
|
| UnencryptedCookiePreview |
This is a preview version of @UnencryptedCookie, which supports cookies with the Same-Site attribute set
|
| UserPrincipal |
Returns the remote principal for the request as set on the servlet container.
|


Charmeleon
Fire type
pokemon
from the first generation of
pokemon
.
Evolves
from
Charmander
at level 16.
Charmeleon
evolves
into
Charizard
at level 36.


Collection
Policy documents about the area reviews of sixth-form and further education colleges.
To support these policy documents, we’ve also published guidance about the area reviews and how to carry out their recommendations.
The Further Education Commissioner also publishes updates on the area reviews for colleges.
Published: 8 September 2015
Updated: 24 February 2017


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
MCB Solutions
Mailing Address:
2 Moses CresMARKHAM, Ontario
L6C 1R2
Location Address:
222 Riverfront Avenue SWCALGARY, Alberta
T2P 0X2
Tel.:<PHONE_NUMBER>
Fax:
Company Profile
MultiCultural Business Solutions Overview
MultiCultural Business Solutions Inc. (MCB) provides cross-culture consulting services that help organizations and individuals manage cultural differences and turn the challenges into opportunities.
At the organization level, MCB works with:
Organizations in a wide range of public and private sectors, e.g. professional services, financial services, engineering and natural resources, to build an effective multicultural workforce and provide value to their culturally diverse customers
Professional associations and regulatory bodies to enhance their service to internationally trained professionals
Universities and colleges to help international students to adapt to the Canadian study environment
Government and non-profit organizations to help skilled immigrants integrate into the Canadian workplace
MCB provides training workshops and presentations to
Senior leaders on adapting their leadership style to foster an organization culture that capitalizes on the strength of diversity
Line managers on building productive multicultural teams and increasing their collective effectiveness;
HR professionals on developing programs to more effectively recruit, integrate and develop culturally diverse employees
Front-line staff of service organizations, e.g. hospitals, banks, on better servicing culturally diverse clients;
Staff and board members of regulatory bodies and professional associations on building cultural sensitivity into their programs and practices
Settlement workers on helping new immigrants finding professional work
MCB provides consulting services to a number of organizations in the following area:
Design and facilitate structured team building off-sites for multicultural teams
Review leadership development programs to incorporate cultural sensitivity into the program
Review recruitment and selection processes to ensure that they do not eliminate candidates for reasons not related to their ability to perform the job
At the individual level, MCB coaches
Leaders and managers to increase their effectiveness of working with their multicultural team members, managers and peers
Expatriates both inbound to and outbound from Canada to be successful in unfamiliar environment and continue to grow their career
Internationally trained professionals find jobs that make use of their skills and integrate into the Canadian work environment
Our Approach combines four key elements to help our clients understand and reap the benefits of cultural diversity.
1. We focus on invisible differences. Culture is often compared to an iceberg: with visible and invisible differences. Our focus is on the invisible. We help our clients understand why culturally different people interact professionally in ways that seem strange and wrong to them.
2. We believe most people have the best intentions at heart. Most people do not want to discriminate, to be unfair, or to be disrespectful. The challenge is that, when people do not recognize what they dont know, they usually place the blame on others for undesirable events. We want to help people understand how cultural differences are demonstrated in workplace behaviours and work together to find solutions for productive interactions.
3. We approach cultural differences from a practical perspective. All our work is rooted in real-life experience in the workplace. We understand that, at the end of the day, our clients do not want to become cultural diversity experts they want to get their work done and reach their business objectives within a multicultural context.
4. We provide depth of analysis. We want to make a measurable difference in the effectiveness of our clients by providing them solutions that are grounded in a root-cause analysis of the situation and have been extensively tested in many organizations.
Our Team
Lionel Laroche, Ph.D., P. Eng.
Lionel received his education in France and the United States and started his career in Canada as an engineer. The cultural adaptation process after immigrating to Canada and working on international assignments taught him so much that he decided to use the knowledge to help professionals from all over the world succeed and organizations benefit from the opportunities brought by a diverse workforce.
Over the past fifteen years, Lionel has provided cross-cultural training, coaching and consulting services to over 20,000 people through a wide range of business, government, academic, professional and non-profit organizations in 13 countries (Canada, the U.S., Bermuda, Mexico, Peru, Belgium, Switzerland, France, the UK, Turkey, Hong Kong, China and Korea).
Lionel is a thought provoking and educational speaker / facilitator who presented at over 200 conferences and events across Canada and the United States. He is the author of two books: (1) Managing Cultural Diversity in Technical Professions; (2) Recruiting, Retaining and Promoting Culturally Different Employees.
Lionel holds a Ph.D. in Chemical Engineering from the California Institute of Technology, USA and a Diplôme dingénieur polytechnicien from the École Polytechnique de Paris, France.
Caroline Yang, CHRP, CCP
Caroline has fifteen years of human resources experience working with Nortel and Compaq in China and ATI (now AMD), TD Bank and Manulife in Canada. In her role as a human resources business partner, Caroline has worked with a diverse workforce and supported multicultural teams of highly skilled technical professionals.
Providing services to a broad range of public and private sector organizations, Caroline has worked with GE Canada, Total E&P Canada, Scotiabank, City of Kitchener, Citizenship and Immigration Canada, University of Ottawa and Ontario Regulators for Access Consortium.
Caroline was interviewed by Radio Canada International to share her experience of integrating skilled immigrants into the Canadian workplace. She has multiple publications on leadership, teamwork, global HR policies and total rewards by HRPA, WorldatWork and CERC. She will present at HRPAs 2013 Annual Conference.
Caroline graduated from City University of Hong Kong with a Post-Graduate Certificate in Business Administration and a CIDA (Canadian International Development Agency) training program at Simon Fraser University in translation.
We are also located in Calgary Alberta:
222 Riverfront Ave SW
Calgary Alberta
T2P 0x2
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
conducting business effectively in the global marketplace. We
offer solutions to cross cultural problems including relocation,
emigration to Canada, repatriation and diversity in the
workplace through customized training programs and consulting
services. The programs are delivered by certified, highly
trained personnel.
world can be fraught with challenges, ITAP Canada has designed a
training probram to help employees conduct international
business transactions. "Doing Business Internationally" provides
practical information about interacting with foreign
professionas in business settings and explores the impact of
culture and values on management, work and communication. The
training program focusses on one particular country or region of
interest to our clients. This one or two day workshop includes a
simulation of problems arising in cross-cultural situations,
videos and practical exercises.
of many skilled immigrants in Canada and the rapid change in
their workd force demographics. To help companies overcome the
challenges of internal cultural diversity and reap the
corresponding benefits, ITAP Canada has designed training
programs that address various aspects of corporate diversity.
These include:
Interviewing New Canadians: Overcoming Cultural Barriers to
Skills Identification
Managing a Culturally Diverse Workforce
Working in A Culturally Diverse Company
Effective Communication Skills Training to Help Bridge Cultural
Differences is an individual coaching program designed to help
New Canadians understand the main features of the work,
communication and management style preferences of Canadians.
company's best interests, successful international relocation is
key to the success of a company's global operations. Because of
the high failure rates observed in foreign assignments, ITAP
Canada has designed training programs that prepare expatriates
and their families for the most crucial phases, their departure
and their return. These programs are offered both to Canadian
expatriates and foreign employees relocating to Canada:
Living in Country X explores how the employees and their
families can adjust to the way of life in the destination country
Working in Country X trains employees (and their spouses, if
applicable) in the skills needed to adjust faster to a new
position in a new country.
Working Spouse helps expatrates' spouses who plan on working in
their destination country adjust to the situation.
Children addresses the needs of children aged 7 to 12, providing
them with their own training manual and global games.
adjustment to a new culture. Therefore, ITAP Canada has designed
two programs to alleviate "return shock". These one day programs
ease family adjustment into their old, and at the same time, new
country by focusing on the changes that have taken place during
their time away.
Returning to Live in Canada focuses on lifestyle changes.
Returning to Work in Canada focuses on changes in the workplace.
achieve their professional objectives by providing them with the
right training, coaching and consulting services.
Market profile
Alliances:
- Financial
- Sales/Marketing
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
conducting business effectively in the global marketplace. We
offer solutions to cross cultural problems including relocation,
emigration to Canada, repatriation and diversity in the
workplace through customized training programs and consulting
services. The programs are delivered by certified, highly
trained personnel.
world can be fraught with challenges, ITAP Canada has designed a
training probram to help employees conduct international
business transactions. "Doing Business Internationally" provides
practical information about interacting with foreign
professionas in business settings and explores the impact of
culture and values on management, work and communication. The
training program focusses on one particular country or region of
interest to our clients. This one or two day workshop includes a
simulation of problems arising in cross-cultural situations,
videos and practical exercises.
of many skilled immigrants in Canada and the rapid change in
their workd force demographics. To help companies overcome the
challenges of internal cultural diversity and reap the
corresponding benefits, ITAP Canada has designed training
programs that address various aspects of corporate diversity.
These include:
Interviewing New Canadians: Overcoming Cultural Barriers to
Skills Identification
Managing a Culturally Diverse Workforce
Working in A Culturally Diverse Company
Effective Communication Skills Training to Help Bridge Cultural
Differences is an individual coaching program designed to help
New Canadians understand the main features of the work,
communication and management style preferences of Canadians.
company's best interests, successful international relocation is
key to the success of a company's global operations. Because of
the high failure rates observed in foreign assignments, ITAP
Canada has designed training programs that prepare expatriates
and their families for the most crucial phases, their departure
and their return. These programs are offered both to Canadian
expatriates and foreign employees relocating to Canada:
Living in Country X explores how the employees and their
families can adjust to the way of life in the destination country
Working in Country X trains employees (and their spouses, if
applicable) in the skills needed to adjust faster to a new
position in a new country.
Working Spouse helps expatrates' spouses who plan on working in
their destination country adjust to the situation.
Children addresses the needs of children aged 7 to 12, providing
them with their own training manual and global games.
adjustment to a new culture. Therefore, ITAP Canada has designed
two programs to alleviate "return shock". These one day programs
ease family adjustment into their old, and at the same time, new
country by focusing on the changes that have taken place during
their time away.
Returning to Live in Canada focuses on lifestyle changes.
Returning to Work in Canada focuses on changes in the workplace.
achieve their professional objectives by providing them with the
right training, coaching and consulting services.
Market
Market profile
Alliances:
- Financial
- Sales/Marketing


BBBCSIO
A C# I/O Library for the Beaglebone Black
Example Code
Example Code
Sample code illustrating the use of some of the functionality in the PRU_Driver class of the BBBCSIO library.
The source code for all classes in the BBBCSIO library are available online for
download
and also in
browseable form.
- How to use launch a compiled binary in the PRU and blink the USR3 LED.
- A simple example of how to launch a compiled binary in a PRU which blinks the USR3 LED. Both the compiled binary and the
PASM source code are available.
- How to send and receive data to and from an executing PRU program.
- An example of how to transfer data from a user space C# program to the PRU for processing and how to receive the returned data.
Both the compiled binary and the PASM source code are available.
- How to trigger interrupts in a PRU to send signals to a C# program
- The PRU can send trigger interrupts to send signals to user space programs. This example illustrates how to process
PRU generated interrupts as C# events.
Both the compiled binary and the PASM source code are available.
- How to use the PRU for direct I/O.
- The PRU can directly read and write the state of certain pins on the Beaglebone Black's P8 and P9 headers. This example code
demonstrates this process. Both the compiled binary, the PASM source code
and sample are available.


The gratia package for R provides ggplot-based graphics and useful functions for GAMs fitted using the mgcv package.
The main features of gratia are currently
A ggplot2-based replacement for mgcv:::plot.gam()
: draw(gam_model)
.
Note specialist smoothers (bs %in% c("sos","mrf","so")
) are not supported, but univariate, factor and continuous by
-variable smooths, simple random effect smooths (bs = 're'
), factor-smooth interaction smooths (bs = "fs"
), and bivariate tensor product smooths are supported,
Estimatation of derivatives of fitted smoothers: fderiv(gam_model)
,
Estimation of point-wise across-the-function confidence intervals and simultaneous intervals for smooths: confint(gam_model)
.
gratia is under active development and has not yet had its first release to CRAN. The easiest way to install the package is via the install_github()
function from package devtools. Make sure you have devtools installed, then run
devtools::install_github("gavinsimpson/gratia")
to install the package.
gratia grew out of an earlier package, schoenberg, itself a development of the earlier package tsgam, which was originally intended to be used with GAMs fitted to time series. As I was developing tsgam however it became clear that the package could be used more generally and that the name “tsgam” was no longer appropriate. To avoid breaking blog posts I had written using tsgam I decided to copy the git repo and all the history to a new repo for the package under the name schoenberg. At a later date someone released another package called schoenberg to CRAN, so that scuppered that idea. Now I’m calling the package gratia. Hopefully I won’t have to change it again…
In naming his greta package, Nick Golding observed the recent phenomena of naming statistical modelling software, such as Stan or Edward, after individuals that played a prominent role in the development of the field. This lead Nick to name his Tensor Flow-based package greta after Grete Hermann.
In the same spirit, gratia is named in recognition of the contributions of Grace Wahba, who did pioneering work on the penalised spline models that are at the foundation of the way GAMs are estimated in mgcv. I wanted to name the package grace, to explicitly recognise Grace’s contributions, but unfortunately there was already a package named Grace on CRAN. So I looked elsewhere for inspiration.
The English word “grace” derives from the Latin gratia, meaning “favor, charm, thanks” (according to Merriam Webster).
The chair that Grace Wabha currently holds is named after Isaac J Schoenberg, a former University Madison-Wisconsin Professor of Mathematics, who in a 1946 paper provided the first mathematical reference to “splines”. (Hence the previous name for the package.)


3 Lauderdale Lakes schools evacuated due to reported bomb threat
by 7 News WSVNLAUDERDALE LAKES, FLA. (WSVN) - Three schools in Lauderdale Lakes have been evacuated as Broward Sheriff’s Office deputies investigate a bomb threat.
The threat was called in to Boyd Anderson High School, located near Northwest 41st Street and 29th Avenue, on Monday morning.
Oriole Elementary School and Lauderdale Lakes Middle School were also evacuated as a precaution due to their proximity to the high school.
Please check back on WSVN.com and 7News for more details on this developing story.


#include <sparse_ops.h>
Reorders a SparseTensor into the canonical, row-major ordering.
Note that by convention, all sparse ops preserve the canonical ordering along increasing dimension number. The only time ordering can be violated is during manual manipulation of the indices and values vectors to add entries.
Reordering does not affect the shape of the SparseTensor.
If the tensor has rank R
and N
non-empty values, input_indices
has shape [N, R]
, input_values has length N
, and input_shape has length R
.
Arguments:
N x R
matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering.N
non-empty values corresponding to input_indices
.Returns:
Output
output_indices: 2-D. N x R
matrix with the same indices as input_indices, but in canonical row-major ordering.Output
output_values: 1-D. N
non-empty values corresponding to output_indices
.
Constructors and Destructors |
|
|---|---|
SparseReorder(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape)
|
Public attributes |
|
|---|---|
operation
|
|
output_indices
|
|
output_values
|
Operation operation
::tensorflow::Output output_indices
::tensorflow::Output output_values
SparseReorder( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape )


University of Tennessee, Knoxville
Course Section: TPTE 595 (MA) and TPTE 695 (PhD) Meeting Time and Place: Thursday, 2:50 – 4:05 pm (online, partially synchronous) Course Credit Hours: 3 Course Website: https://making-data-science-count.github.io/s21-intro-to-data-sci-methods-in-ed/
Dr. Joshua Rosenberg<EMAIL_ADDRESS>420 Claxton<PHONE_NUMBER> Zoom: https://tennessee.zoom.us/my/jmrosenberg (password: rosenroom) Website: https://joshuamrosenberg.com Slack: https://teachingsciencephenom.slack.com
Dr. Alex Lishinski<EMAIL_ADDRESS>Zoom: https://tennessee.zoom.us/j/2299533064 Website: https://www.alexlishinski.com
Please don’t hesitate to email us or contact us on Slack with updates, questions or concerns. We will try to respond within 24 hours during the week and 48 hours on the weekend. We will notify you if our response may be delayed. In short, please contact us.
Welcome to An Introduction to Data Science Methods in Education! The overarching goal of this course is to support graduate-level students across the Department of Theory and Practice in Teacher Education (and the Bailey Graduate School of Education) to be empowered to use new data sources and research methods in their research.
Across education, several new courses and degree programs have been developed that share a focus on applying new research methods to new data sources, such as data from students’ interactions with digital technologies and teachers’ participation in online professional learning communities. Though these courses and programs have different names (e.g., learning analytics, educational data mining, and educational data science) that reflect different assumptions about education, they share a number of common features and can collectively be considered in terms of the application of data science methods in education (Wise, 2020), or data science in education.
The course will provide students with a foundation in data science in education, defined as those that integrate computation with statistics and substantive expertise. Also, the course will include opportunities for students to gain experience with specific data science techniques that may be widely used across research projects.
Students will have the opportunity to bring their own data from their research projects for use in this class. In this way, they will have immediate application for the concepts learned in the course. Bringing in one’s own data will be highly encouraged, as the work done in this class could serve as the foundation of a future conference proposal or publication for the student. If no data is immediately available from the student’s research, students can use one of hundreds of freely available datasets to complete coursework or students can use datasets provided to them.
Our goal in teaching this course will be to catalyze students’ interest in data science and to bolster their confidence in their abilities to use programming techniques to support their research programs. Many people who try to self-teach become overwhelmed by available resources. This course will provide scaffolding to help students become proficient in a few sophisticated data science techniques, and it will give students enough foundational knowledge to pick up new data science skills on their own after the course is through. Student Learning Outcomes/Objectives:
The objectives for the proposed course are for students to be able to:
These objectives will serve as a foundation for later data science in education-related courses, including data visualization, creating interactive web applications, and machine learning applications.
This class will be taught in a fully-online format. We will use Zoom for synchronous (or at-the-same-time) a) introductions to new content, b) “try-it-out” laboratories, and c) discussions. We will also use a number of tools for asynchronous communication, including a) Slack, b) GitHub, and c) features of the Canvas course learning management system.
Slack is a communication platform designed for teams (e.g., in a company), that has begun to be used in education. We will use Slack to share resources and for asking and questions of one another. You are encouraged but not required to check Slack daily, and to use the app on your mobile device or phone.
If you email us, you will generally receive a response within 24 hours. We ask for you to please try to respond within 24 hours, too. You can contact us via email (above) or Slack (preferred).
Don’t hesitate to ask questions! Learning to do data science is challenging for everyone, and reaching out for support and assistance is imperative. Our late assignment policy is that as long as you submit the assignment before we grade it, you will receive full credit. However, we may grade assignments very soon after they are due. For assignments received after the due date, 5% from the grade you otherwise would earn will be subtracted from your final grade for each day late. Texts/Resources/Materials:
Estrellado, R. A., Freer, E. A., Mostipak, J., Rosenberg, J. M., & Velásquez, I. C. (2020). Data science in education using R. London, England: Routledge. Freely-available from: http://www.datascienceineducation.com/
You will need a computer (Mac, Windows, or Linux are fine!) on which you can install applications, but you do not need a computer with any particular specifications (speed, storage, etc.) beyond what you use for other courses: whatever you have will work for this course.
“An essential feature of the University of Tennessee, Knoxville is a commitment to maintaining an atmosphere of intellectual integrity and academic honesty. As a student of the university, I pledge that I will neither knowingly give nor receive any inappropriate assistance in academic work, thus affirming my own personal commitment to honor and integrity.”
Civility is genuine respect and regard for others: politeness, consideration, tact, good manners, graciousness, cordiality, affability, amiability and courteousness. Civility enhances academic freedom and integrity, and is a prerequisite to the free exchange of ideas and knowledge in the learning community. Our community consists of students, faculty, staff, alumni, and campus visitors. Community members affect each other’s well-being and have a shared interest in creating and sustaining an environment where all community members and their points of view are valued and respected. Affirming the value of each member of the university community, the campus asks that all its members adhere to the principles of civility and community adopted by the campus: http://civility.utk.edu/.
“Any student who feels s/he may need an accommodation based on the impact of a disability should contact Student Disability Services in Dunford Hall, at<PHONE_NUMBER>, or by video relay at,<PHONE_NUMBER>, to coordinate reasonable academic accommodations.
At UT, it is our collective responsibility to improve the state of teaching and learning. During the semester, you may be requested to assess aspects of this course either during class or at the completion of the class. You are encouraged to respond to these various forms of assessment as a means of continuing to improve the quality of the UT learning experience.
The instructors reserve the right to revise, alter or amend this syllabus as necessary. Students will be notified in writing / email of any such changes.


{% extends 'dungeons/detail/base.html' %} {% load cache %} {% block report %} {% if waves %} {% include 'dungeons/detail/dungeon_waves.html' with waves=waves %}
No reports generated for this level yet


read from plc
You have a couple of possibilities to read data from the plc. These are described below.
You can read more the one data in a single call of the read method by providing the read items to the method.
For each read item you will get a DataValue as a result.
public class DataValue
{
ItemResponseRetValue ReturnCode { get; }
bool IsSuccessReturnCode { get; }
Type Type { get; }
Memory<byte> Data { get; }
object Value { get; };
T GetValue<T>();
string GetValueAsString(this DataValue dataValue, string separator = " ");
string GetValueAsString(this DataValue dataValue, DataValueFormatter formatter, string separator = " ")
}
Read data by using the tag syntax
For details of this syntax see the area TagSyntax.
// Read arrays of bytes from the PLC by using the tag syntax shorthand method
var readResults1 = await _client.ReadAsync("DB1114.0,b,100", "DB1114.100,b,500");
// Read arrays of bytes from the PLC by using the tag syntax and the read items.
var readResults1 = await _client.ReadAsync(ReadItem.CreateFromTag("DB1114.0,b,100"),
ReadItem.CreateFromTag("DB1114.100,b,500"));
Read data by using the read item class
var readResults = await _client.ReadAsync(ReadItem.Create<ushort>("DB1114", 0, 100),
ReadItem.Create<byte[]>("DB1114", 100, 500));
if (results.Count() == 2)
{
if(readResults[0].IsSuccessReturnCode)
{
Console.WriteLine(readResults[0].Value);
}
// or
if(readResults[1].IsSuccessReturnCode)
{
Console.WriteLine(readResults[1].GetValue<byte[]>());
}
}
Read and write bit data
The offset is normally in bytes, but if you address a Boolean, you have to pass the address in bits (byteOffset * 8 + bitOffset).
var readResults = await client.ReadAsync(ReadItem.Create<bool>("DB1", baseOffset),
ReadItem.Create<bool>("DB1", baseOffset + 5))
Read and Write string data
If the given type is a string or char you can also specify if its the Unicode variant of them (this means 2byte per sign). You also have to specify the encoding of the strings.
currently we support the following encodings:
public enum PlcEncoding
{
UTF7, // for normal strings
Unicode, // for wide strings (used 2 bytes per letter)
Windows1252 // default encoding for normal strings
}
Unicode is only supported in TIA to address WString an WChar.
var readResults = await client.ReadAsync(ReadItem.Create<string>("DB1", 0, 10, PlcEncoding.Windows1252))


HEADER
Văn bản thẻ p
General Elements
Đá
Option one is this and that—be sure to include why it's great
Option two can be something else and selecting it will deselect option one
Option three is disabled
Trà sữa
Option one is this and that—be sure to include why it's great
Option two can be something else and selecting it will deselect option one
Option three is disabled
Option one is this and that—be sure to include why it's great
Option two can be something else and selecting it will deselect option one
Option three is disabled


{% extends "analysis/baseanalisis.html" %}
{%load staticfiles%}
{% load i18n %}
{% block extra_js%}
{% endblock extra_js%}
{% block contenido %}
{% include "analysis/filtros.html" %}
Reported Limitations and Perceived Limitations
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 1 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 2 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 3 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 4 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 5 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 6 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 7 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 8 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 9 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
| Limitation |
Number of Organizations Encountering Limitation Current Innovation |
Number of Organizations Reporting as Potential Limitation Desired Innovation |
{% for key,value in categoria.items %}
{% if value.2 == 10 %}
| {{key}} |
{{value.0}} |
{{value.1}} |
{% endif %}
{% endfor %}
{% endblock contenido %}


I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Slide Up Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Slide Down Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Fade In Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Fade Out Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Fade To Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.
Animate Tests
I am a lot of text. Please see all of my text it's actually so
much text that I can't believe it. Can you believe it? It's truly
hard to believe if you can believe it.


9. Contributing
Welcome!
We follow the standard GitHub fork & pull approach to pull requests. Just fork the official repo, develop in a branch, and submit a PR!
You’re always welcome to submit your PR straight away and start the discussion (without reading the rest of this wonderful doc, or the README.md). The goal of these notes is to make your experience contributing to Akka HTTP as smooth and pleasant as possible. We’re happy to guide you through the process once you’ve submitted your PR.
The Akka Community
In case of questions about the contribution process or for discussion of specific issues please visit the akka/dev gitter chat.
You may also check out these other resources.
Navigating around the project & codebase
Branches summary
Depending on which version (or sometimes module) you want to work on, you should target a specific branch as explained below:
master
– active development branch of akka-http 10.0-SNAPSHOT
Tags
Akka-http uses tags to categorise issues into groups or mark their phase in development.
Most notably many tags start t:
prefix (as in topic:
), which categorises issues in terms of which module they relate to. Examples are:
In general all issues are open for anyone working on them, however if you’re new to the project and looking for an issue that will be accepted and likely is a nice one to get started you should check out the following tags:
- help wanted - which identifies issues that the core team will likely not have time to work on, or the issue is a nice entry level ticket. If you’re not sure how to solve a ticket but would like to work on it feel free to ask in the issue about clarification or tips.
- nice-to-have (low-priority) - are tasks which make sense, however are not very high priority (in face of other very high priority issues). If you see something interesting in this list, a contribution would be really wonderful!
Another group of tickets are those which start from a number. They’re used to signal in what phase of development an issue is:
- 0 - new - is assigned when a ticket is unclear on it’s purpose or if it is valid or not. Sometimes the additional tag
discuss
is used to mark such tickets, if they propose large scale changed and need more discussion before moving into triaged (or being closed as invalid) - 1 - triaged - roughly speaking means “this ticket makes sense”. Triaged tickets are safe to pick up for contributing in terms of likeliness of a patch for it being accepted. It is not recommended to start working on a ticket that is not triaged.
- 2 - pick next - used to mark issues which are next up in the queue to be worked on. Sometimes it’s also used to mark which PRs are expected to be reviewed/merged for the next release. The tag is non-binding, and mostly used as organisational helper.
- 3 - in progress - means someone is working on this ticket. If you see a ticket that has the tag, however seems inactive, it could have been an omission with removing the tag, feel free to ping the ticket then if it’s still being worked on.
The last group of special tags indicate specific states a ticket is in:
- bug - bugs take priority in being fixed above features. The core team dedicates a number of days to working on bugs each sprint. Bugs which have reproducers are also great for community contributions as they’re well isolated. Sometimes we’re not as lucky to have reproducers though, then a bugfix should also include a test reproducing the original error along with the fix.
- failed - tickets indicate a Jenkins failure (for example from a nightly build). These tickets usually start with the
FAILED: ...
message, and include a stacktrace + link to the Jenkins failure. The tickets are collected and worked on with priority to keep the build stable and healthy. Often times it may be simple timeout issues (Jenkins boxes are slow), though sometimes real bugs are discovered this way.
Pull Request validation states:
validating => [tested | needs-attention]
- signify pull request validation status
Akka-http contributing guidelines
These guidelines apply to all Akka projects, by which we mean both the akka/akka
repository, as well as any plugins or additional repos located under the Akka GitHub organisation, e.g. akka/akka-http
and others.
These guidelines are meant to be a living document that should be changed and adapted as needed. We encourage changes that make it easier to achieve our goals in an efficient way.
Please also note that we have a Code of Conduct in place which aims keep our community a nice and helpful one. You can read its full text here: Akka Code of Conduct.
General Workflow
The below steps are how to get a patch into a main development branch (e.g. master
). The steps are exactly the same for everyone involved in the project (be it core team, or first time contributor).
- To avoid duplicated effort, it might be good to check the issue tracker and existing pull requests for existing work.
- If there is no ticket yet, feel free to create one to discuss the problem and the approach you want to take to solve it.
- Fork the project on GitHub. You’ll need to create a feature-branch for your work on your fork, as this way you’ll be able to submit a PullRequest against the mainline Akka-http.
- Create a branch on your fork and work on the feature. For example:
git checkout -b wip-custom-headers-akka-http
- Please make sure to follow the general quality guidelines (specified below) when developing your patch.
- Please write additional tests covering your feature and adjust existing ones if needed before submitting your Pull Request. The
validatePullRequest
sbt task (explained below) may come in handy to verify your changes are correct.
- Once your feature is complete, prepare the commit following our Creating Commits And Writing Commit Messages. For example, a good commit message would be:
Adding compression support for Manifests #22222
(note the reference to the ticket it aimed to resolve). - Now it’s finally time to submit the Pull Request!
- If you have not already done so, you will be asked by our CLA bot to sign the Lightbend CLA online CLA stands for Contributor License Agreement and is a way of protecting intellectual property disputes from harming the project.
- If you’re not already on the contributors white-list, the @akka-ci bot will ask
Can one of the repo owners verify this patch?
, to which a core member will reply by commentingOK TO TEST
. This is just a sanity check to prevent malicious code from being run on the Jenkins cluster. - Now both committers and interested people will review your code. This process is to ensure the code we merge is of the best possible quality, and that no silly mistakes slip through. You’re expected to follow-up these comments by adding new commits to the same branch. The commit messages of those commits can be more lose, for example:
Removed debugging using printline
, as they all will be squashed into one commit before merging into the main branch.- The community and team are really nice people, so don’t be afraid to ask follow up questions if you didn’t understand some comment, or would like to clarify how to continue with a given feature. We’re here to help, so feel free to ask and discuss any kind of questions you might have during review!
- After the review you should fix the issues as needed (pushing a new commit for new review etc.), iterating until the reviewers give their thumbs up–which is signalled usually by a comment saying
LGTM
, which means “Looks Good To Me”.- In general a PR is expected to get 2 LGTMs from the team before it is merged. If the PR is trivial, or under special circumstances (such as most of the team being on vacation, a PR was very thoroughly reviewed/tested and surely is correct) one LGTM may be fine as well.
- If the code change needs to be applied to other branches as well (for example a bugfix needing to be backported to a previous version), one of the team will either ask you to submit a PR with the same commit to the old branch, or do this for you.
- Backport pull requests such as these are marked using the phrase
for validation
in the title to make the purpose clear in the pull request list. They can be merged once validation passes without additional review (if no conflicts).
- Once everything is said and done, your Pull Request gets merged :tada: Your feature will be available with the next “earliest” release milestone (i.e. if back-ported so that it will be in release x.y.z, find the relevant milestone for that release). And of course you will be given credit for the fix in the release stats during the release’s announcement. You’ve made it!
The TL;DR; of the above very precise workflow version is:
- Fork akka-http
- Hack and test on your feature (on a branch)
- Submit a PR
- Sign the CLA if necessary
- Keep polishing it until received enough LGTM
- Profit!
Note that the akka-http sbt project is not as large as the Akka one, so sbt
should be able to run with less heap than with the Akka project. In case you need to increase the heap, this can be specified using a command line argument sbt -mem 2048
or in the environment variable SBT_OPTS
but then as a regular JVM memory flag, for example SBT_OPTS=-Xmx2G
, on some platforms you can also edit the global defaults for sbt in /usr/local/etc/sbtopts
.
The validatePullRequest
task
The Akka-http build includes a special task called validatePullRequest
which investigates the changes made as well as dirty (uncommitted changes) in your local working directory and figures out which projects are impacted by those changes, then running tests only on those projects.
For example changing something in akka-http-core
would cause tests to be run in all projects which depend on it (e.g. akka-http-tests
, akka-http-marshallers-*
, docs
etc.).
To use the task simply type, and the output should include entries like shown below:
> validatePullRequest
[info] Diffing [HEAD] to determine changed modules in PR...
[info] Detected uncomitted changes in directories (including in dependency analysis): [akka-protobuf,project]
[info] Detected changes in directories: [docs, project, akka-http-tests, akka-protobuf, akka-http-testkit, akka-http, akka-http-core, akka-stream]
By default changes are diffed with the master
branch when working locally, if you want to validate against a different target PR branch you can do so by setting the PR_TARGET_BRANCH environment variable for SBT:
PR_TARGET_BRANCH=origin/example sbt validatePullRequest
Developing against Akka master
Since Akka HTTP is released separately to Akka “core” yet some features require changes in Akka itself, it is sometimes very useful to be able to develop Akka HTTP with Akka’s sources used directly instead of the binary dependency. You can check out the Akka repository and run sbt with -Dakka.sources=$HOME/akka
to develop Akka HTTP with Akka as a source dependency instead of a binary one.
This allows simple and fast iterations on changes that would need to be introduced in Akka to develop a feature in HTTP that would require those.
Binary compatibility
Binary compatibility rules and guarantees are described in depth in the Binary Compatibility Rules section of the documentation.
Akka-http uses MiMa (which is short for Lightbend Migration Manager) to validate binary compatibility of incoming Pull Requests. If your PR fails due to binary compatibility issues, you may see an error like this:
[info] akka-stream: found 1 potential binary incompatibilities while checking against com.typesafe.akka:akka-stream_2.11:2.4.2 (filtered 222)
[error] * method foldAsync(java.lang.Object,scala.Function2)akka.stream.scaladsl.FlowOps in trait akka.stream.scaladsl.FlowOps is present only in current version
[error] filter with: ProblemFilters.exclude[ReversedMissingMethodProblem]("akka.stream.scaladsl.FlowOps.foldAsync")
In such situations it’s good to consult with a core team member if the violation can be safely ignored (by adding the above snippet to the project’s src/main/mima-filters
), or if it would indeed break binary compatibility.
Situations when it may be fine to ignore a MiMa issued warning include:
- if it is touching any class marked as
private[akka]
,/** INTERNAL API*/
or similar markers - if it is concerning internal classes (often recognisable by package names like
dungeon
,impl
,internal
etc.) - if it is adding API to classes / traits which are only meant for extension by Akka itself, i.e. should not be extended by end-users
- other tricky situations
If it turns out that the change can be safely ignored, please add the filter to the submodule’s src/main/mima-filters/<last-released-version>.backwards.excludes
file using (or creating) the file corresponding to the latest released version.
You can run mimaReportBinaryIssues
on the sbt console to check if you introduced a binary incompatibility or whether an incompatibility has been successfully ignored after adding it to the filter file.
Pull Request Requirements
For a Pull Request to be considered at all it has to meet these requirements:
- Regardless if the code introduces new features or fixes bugs or regressions, it must have comprehensive tests.
- The code must be well documented in the Lightbend’s standard documentation format (see the ‘Documentation’ section below).
- The commit messages must properly describe the changes, see further below.
- All Lightbend projects must include Lightbend copyright notices. Each project can choose between one of two approaches:
- All source files in the project must have a Lightbend copyright notice in the file header.
- The Notices file for the project includes the Lightbend copyright notice and no other files contain copyright notices. See http://www.apache.org/legal/src-headers.html for instructions for managing this approach for copyrights.
Akka-http uses the first choice, having copyright notices in every file header.
Additional guidelines
Some additional guidelines regarding source code are:
- files should start with a
Copyright (C) 2018 Lightbend Inc. <https://www.lightbend.com>
copyright header - keep the code DRY
- apply the Boy Scout Rule whenever you have the chance to
- Never delete or change existing copyright notices, just add additional info.
- Do not use
@author
tags since it does not encourage Collective Code Ownership. - Contributors , each project should make sure that the contributors gets the credit they deserve—in a text file or page on the project website and in the release notes etc.
If these requirements are not met then the code should not be merged into master, or even reviewed - regardless of how good or important it is. No exceptions.
Whether or not a pull request (or parts of it) shall be back- or forward-ported will be discussed on the pull request discussion page, it shall therefore not be part of the commit messages. If desired the intent can be expressed in the pull request description.
Documentation
All documentation must abide by the following maxims:
- Example code should be run as part of an automated test suite.
- Version should be programmatically specifiable to the build.
- Generation should be completely automated and available for scripting.
- Artifacts that must be included in the Lightbend stack should be published to a maven “documentation” repository as documentation artifacts.
- When renaming Markdown files, add a rewrite rule to the
.htaccess
file to not break external links.
All documentation is preferred to be in Lightbend’s standard documentation format Paradox. The language used by Paradox is a super-set or Markdown which supports most Github Flavored Markdown extensions as well as additional directives to facilitate writing documentation for software projects. Refer to its documentation to learn about the more advanced features it provides (including code etc).
To generate documentation you can:
> project docs
> paradox
The rendered documentation will be available under docs/target/paradox/site/main/index.html
.
JavaDoc
Akka-http generates JavaDoc-style API documentation using the genjavadoc sbt plugin, since the sources are written mostly in Scala.
Generating JavaDoc is not enabled by default, as it’s not needed on day-to-day development as it’s expected to just work. If you’d like to check if you links and formatting looks good in JavaDoc (and not only in ScalaDoc), you can generate it by running:
sbt -Dakka.genjavadoc.enabled=true javaunidoc:doc
Which will generate JavaDoc style docs in ./target/javaunidoc/index.html
External Dependencies
All the external runtime dependencies for the project, including transitive dependencies, must have an open source license that is equal to, or compatible with, Apache 2.
This must be ensured by manually verifying the license for all the dependencies for the project:
- Whenever a committer to the project changes a version of a dependency (including Scala) in the build file.
- Whenever a committer to the project adds a new dependency.
- Whenever a new release is cut (public or private for a customer).
Which licenses are compatible with Apache 2 are defined in this doc, where you can see that the licenses that are listed under Category A
automatically compatible with Apache 2, while the ones listed under Category B
needs additional action:
Each license in this category requires some degree of reciprocity; therefore, additional action must be taken in order to minimize the chance that a user of an Apache product will create a derivative work of a reciprocally-licensed portion of an Apache product without being aware of the applicable requirements.
Each project must also create and maintain a list of all dependencies and their licenses, including all their transitive dependencies. This can be done either in the documentation or in the build file next to each dependency.
Creating Commits And Writing Commit Messages
Follow these guidelines when creating public commits and writing commit messages.
-
If your work spans multiple local commits (for example; if you do safe point commits while working in a feature branch or work in a branch for a long time doing merges/rebases etc.) then please do not commit it all but rewrite the history by squashing the commits into a single big commit which you write a good commit message for (like discussed in the following sections). For more info read this article: Git Workflow. Every commit should be able to be used in isolation, cherry picked etc.
-
First line should be a descriptive sentence what the commit is doing, including the ticket number. It should be possible to fully understand what the commit does—but not necessarily how it does it—by just reading this single line. We follow the “imperative present tense” style for commit messages (more info here).
It is not ok to only list the ticket number, type “minor fix” or similar.  If not, go to 3.
-
Following the single line description should be a blank line followed by an enumerated list with the details of the commit.
-
You can request review by a specific team member for your commit (depending on the degree of automation we reach, the list may change over time):
Review by @gituser
- if you want to notify someone on the team. The others can, and are encouraged to participate.
Example:
enable Travis CI #1
* Details 1
* Details 2
* Details 3
Pull request validation workflow details
Akka-http uses Jenkins GitHub pull request builder plugin that automatically merges the code, builds it, runs the tests and comments on the Pull Request in GitHub.
Upon a submission of a Pull Request the GitHub pull request builder plugin will post a following comment:
Can one of the repo owners verify this patch?
This requires a member from a core team to start Pull Request validation process by posting comment consisting only of OK TO TEST
. From now on, whenever new commits are pushed to the Pull Request, a validation job will be automatically started and the results of the validation posted to the Pull Request.
A Pull Request validation job can be started manually by posting PLS BUILD
comment on the Pull Request.
In order to speed up PR validation times, the Akka-http build contains a special sbt task called validatePullRequest
, which is smart enough to figure out which projects should be built if a PR only has changes in some parts of the project. For example, if your PR only touches akka-http-testkit
, no akka-parsing
tests need to be run, however the task will validate all projects that depend on akka-http-testkit
(including samples). Also, tests tagged as PerformanceTest
and the likes of it are excluded from PR validation.
In order to force the validatePullRequest
task to build the entire project, regardless of dependency analysis of a PRs changes one can use the special PLS BUILD ALL
command (typed in a comment on GitHub, on the Pull Request), which will cause the validator to test all projects.
Note, that OK TO TEST
will only be picked up when the user asking for it is considered an admin. Public (!) members of the akka organization are automatically considered admins and users manually declared admin in the Jenkins job (currently no one is explicitly listed). PLS BUILD
and PLS BUILD ALL
can be issued by everyone that is an admin or everyone who was whitelisted in the Jenkins Job (whitelisting != declaring someone an admin).
Source style
Scala style
Akka-http uses Scalariform to enforce some of the code style rules.
Java style
Java code is currently not automatically reformatted by sbt (expecting to have a plugin to do this soon). Thus we ask Java contributions to follow these simple guidelines:
- 2 spaces
{
on same line as method name- in all other aspects, follow the Oracle Java Style Guide
Preferred ways to use timeouts in tests
Avoid short test timeouts, since Jenkins server may GC heavily causing spurious test failures. GC pause or other hiccup of 2 seconds is common in our CI environment. Please note that usually giving a larger timeout does not slow down the tests, as in an expectMessage
call for example it usually will complete quickly.
There is a number of ways timeouts can be defined in Akka tests. The following ways to use timeouts are recommended (in order of preference):
remaining
is first choice (requireswithin
block)remainingOrDefault
is second choice3.seconds
is third choice if not using testkit- lower timeouts must come with a very good reason (e.g. Awaiting on a known to be “already completed”
Future
)
Special care should be given expectNoMsg
calls, which indeed will wait the entire timeout before continuing, therefore a shorter timeout should be used in those, for example 200
or 300.millis
.
You can read up on remaining and friends in TestKit.scala
Supporting infrastructure
Continuous Integration
akka-http currently uses a combination of jenkins and travis for Continuous Integration:
- Jenkins runs the tests for each PR
- Jenkins runs a nightly performance test suite against master
- Travis checks dependency licenses for all PR’s
- Travis is used for publishing releases
The Jenkins server farm, sometimes referred to as “the Lausanne cluster”, is sponsored by Lightbend. The cluster is made out of real bare-metal boxes, and maintained by the Akka team (and other very helpful people at Lightbend).


--- title: Migrating PyTorch - Verbose keywords: fastai sidebar: home_sidebar summary: "Step by step integrating raw PyTorch into the fastai framework" description: "Step by step integrating raw PyTorch into the fastai framework" nb_path: "nbs/examples/migrating_pytorch_verbose.ipynb" ---
In this tutorial we will be training MNIST (similar to the shortened tutorial here) from scratch using pure PyTorch and incrementally adding it to the fastai framework. What this entials is using:
And with fastai we will simply use the Training Loop (or the Learner
class)
In this tutorial also since generally people are more used to explicit exports, we will use explicit exports within the fastai library, but also do understand you can get all of these imports automatically by doing from fastai.vision.all import *
Generally it is also recommend you do so because of monkey-patching throughout the library. You will see why later
As mentioned in the title, we will be loading in the dataset simply with the torchvision
module.
This includes both loading in the dataset, and preparing it for the DataLoaders (including transforms)
First we will grab our imports:
import torch, torchvision
import torchvision.transforms as transforms
Next we can define some minimal transforms for converting the raw two-channel images into trainable tensors as well as normalize them:
The mean and standard deviation come from the MNIST dataset
tfms = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081))
])
Before finally creating our train and test DataLoaders
by downloading the dataset and applying our transforms.
from torchvision import datasets
from torch.utils.data import DataLoader
First let's download a train and test (or validation as it is reffered to in the fastai framework) dataset
train_dset = datasets.MNIST('../data', train=True, download=True, transform=tfms)
valid_dset = datasets.MNIST('../data', train=False, transform=tfms)
Next we'll define a few hyperparameters to pass to the individual DataLoader
's as they are being made.
We'll set a batch size of 256 while training, and 512 during the validation set
We'll also use a single worker and pin the memory:
train_loader = DataLoader(train_dset, batch_size=256,
shuffle=True, num_workers=1, pin_memory=True)
test_loader = DataLoader(valid_dset, batch_size=512,
shuffle=False, num_workers=1, pin_memory=True)
Now we have raw PyTorch DataLoader
's. To use them within the fastai framework all that is left is to wrap it in the fastai DataLoaders
class, which just takes in any number of DataLoader
objects and combines them into one:
from fastai.data.core import DataLoaders
dls = DataLoaders(train_loader, test_loader)
We have now prepared the data for fastai
! Next let's build a basic model to use
This will be an extremely simplistic 2 layer convolutional neural network with an extra set of layers that mimics fastai's generated head
. In each head includes a Flatten
layer, which simply just adjusts the shape of the outputs. We will mimic it here
from torch import nn
class Flatten(nn.Module):
"Flattens an input"
def forward(self, x): return x.view(x.size(0), -1)
And then our actual model:
class Net(nn.Sequential):
def __init__(self):
super().__init__(
nn.Conv2d(1, 32, 3, 1), nn.ReLU(),
nn.Conv2d(32, 64, 3, 1),
# A head to the model
nn.MaxPool2d(2), nn.Dropout2d(0.25),
Flatten(), nn.Linear(9216, 128), nn.ReLU(),
nn.Dropout2d(0.5), nn.Linear(128, 10), nn.LogSoftmax(dim=1)
)
Using native PyTorch optimizers in the fastai framework is made extremely simple thanks to the OptimWrapper
interface.
Simply write a partial
function specifying the opt
as a torch optimizer.
In our example we will use Adam
:
from fastai.optimizer import OptimWrapper
from torch import optim
from functools import partial
opt_func = partial(OptimWrapper, opt=optim.Adam)
And that is all that's needed to make a working optimizer in the framework. You do not need to declare layer groups or any of the sort, that all occurs in the Learner
class which we will do next!
Training in the fastai framework revolves around the Learner
class. This class ties everything we declared earlier together and allows for quick training with many different schedulers and Callback
's quickly.
Basic way for import Learner
is
from fastai.learner import Learner
Since we are using explicit exports in this tutorial, you will notice that we will import Learner
different way. This is because Learner
is heavily monkey-patched throughout the library, so to utilize it best we need to get all of the existing patches
from fastai.callback.schedule import Learner # To get `fit_one_cycle`, `lr_find`
{% include note.html content='All Callbacks
will still work, regardless of the type of dataloaders. It is recommended to use the .all
import when wanting so, this way all callbacks are imported and anything related to the Learner
is imported at once as well' %}
To build the Learner (minimally), we need to pass in the DataLoaders
, our model, a loss function, potentially some metrics to use, and an optimizer function.
Let's import the accuracy
metric from fastai:
from fastai.metrics import accuracy
We'll use nll_loss
as our loss function as well
import torch.nn.functional as F
And build our Learner
:
learn = Learner(dls, Net(), loss_func=F.nll_loss, opt_func=opt_func, metrics=accuracy)
Now that everything is tied together, let's train our model with the One-Cycle policy through the fit_one_cycle
function. We'll also use a learning rate of 1e-2 for a single epoch
It would be noted that fastai's training loop will automatically take care of moving tensors to the proper devices during training, and will use the GPU by default if it is available. When using non-fastai native individual DataLoaders, it will look at the model's device for what device we want to train with.
To access any of the above parameters, we look in similarly-named properties such as learn.dls
, learn.model
, learn.loss_func
, and so on.
Now let's train:
learn.fit_one_cycle(n_epoch=1, lr_max=1e-2)
Now that we have trained our model, let's simulate shipping off the model to be used on inference or various prediction methods.
To export your trained model, you can either use the learn.export
method coupled with load_learner
to load it back in, but it should be noted that none of the inference API will work, as we did not train with the fastai data API.
Instead you should save the model weights, and perform raw PyTorch inference.
We will walk through a quick example below.
First let's save the model weights: {% include note.html content='Generally when doing this approach you should also store the source code to build the model as well' %}
learn.save('myModel', with_opt=False)
{% include note.html content='Learner.save
will save the optimizer state by default as well. When doing so the weights are located in the model
key. We will set this to false
for this tutorial' %}
You can see that it showed us the location where our trained weights were stored. Next, let's load that in as a seperated PyTorch model not tied to the Learner
:
new_net = Net()
net_dict = torch.load('models/myModel.pth')
new_net.load_state_dict(net_dict);
Finally, let's predict on a single image using those tfms
we declared earlier.
When predicting in general we preprocess the dataset in the same form as the validation set, and this is how fastai does it as well with their test_dl
and test_set
methods.
Since the downloaded dataset doesn't have individual files for us to work with, we will download a set of only 3's and 7's from fastai, and predict on one of those images:
from fastai.data.external import untar_data, URLs
data_path = untar_data(URLs.MNIST_SAMPLE)
data_path.ls()
We'll grab one of the valid
images
single_image = data_path/'valid'/'3'/'8483.png'
Open it in Pillow:
from PIL import Image
im = Image.open(single_image)
im.load();
im
Next we will apply the same transforms that we did to our validation set
tfmd_im = tfms(im); tfmd_im.shape
We'll set it as a batch of 1:
tfmd_im = tfmd_im.unsqueeze(0)
tfmd_im.shape
And then predict with our model:
with torch.no_grad():
new_net.cuda()
tfmd_im = tfmd_im.cuda()
preds = new_net(tfmd_im)
Let's look at the predictions:
preds
This isn't quite what fastai outputs, we need to convert this into a class label to make it similar. To do so, we simply take the argmax of the predictions over the first index.
If we were using fastai DataLoaders, it would use this as an index into a list of class names. Since our labels are 0-9, the argmax is our label:
preds.argmax(dim=-1)
And we can see it correctly predicted a label of 3!


Recent research projects and associated code.
An inference neural network for generic inference and learning of Markov random fields (MRFs). The model minimizes region-based free energy directly by amortizing the beliefs of regions. The method is an alternative to the classical message-passing algorithm, e.g., belief propagation and generalized belief propagation. This implementation uses the PyTorch framework in python and supports inference with GPU.
A neural network based hidden Markov model. GenHMM is a generator-mixed (modeled by neural networks) hidden Markov model, which employs the expressive power of networks and meanwhile keeps the tractability of likelihood via introducing normalizing flows in the model. GenHMM supports comment probabilistic inference tasks of sequential or temporal signals. GenHMM can be learned from data within expectation maximization. Check out the application of GenHMM to speech recognition and sepsis detection of infants.
GenMM is a mixture model of normalizing flows that can be learned within expectation maximization algorithm. GenMM allows the exact likelihood computation of evidence and efficient sample generation. The python implementation of the model is available in the repository.
AlphaBP is a variant of the message-passing algorithm. It supports generic inference tasks for problems described by graphical models, which is an add to your toolbox of message-passing algorithms, e.g., belief propagation or sum-product. The repository above contains an implementation of the algorithm in python.
EOTGM is an implicit generative model, where probabilistic density function is not explicitly available. Entropy-regularized optimal transport (EOT) cost is employed in developing generative models to learn implicit distributions. In model learning, it is optional to either use EOT cost directly or use EOT cost iteratively in an adversarial game.
A Python library for probabilistic modeling, inference, and criticism.
A universal probabilistic programming language (PPL) written in Python and supported by PyTorch on the backend.
A python library for working with Probabilistic Graphical Models.
A probabilistic programming language integrated with Clojure and ClojureScript.


Single select boxes
Select2 can take a regular select box like this...
and turn it into this...
Loading array data
Select2 provides a way to load the data from a local array. You can provide initial selections with array data by providing the option tag for the selected values, similar to how it would be done for a standard select.
Loading remote data
Select2 comes with AJAX support built in, using jQuery's AJAX methods. In this example, we can search for repositories using GitHub's API.


| DOSE: T+ 28:00 |
|
smoked |
Cannabis |
(plant material) |
| T+ 36:00 |
|
smoked |
Cannabis |
(plant material) |
In a failed attempt to stay awake for three days I spent the first 24 hours walking around the city. I don't have a job and am temporarily not in school so there were no worries.
In the 28th hour of sleep deprivation I smoked cannabis with a few friends. There was a body high and a marked feeling of confusion. Objects seemed to be made of plastic. Everything was extremely peaceful.
In the 32nd-36th hour of sleep deprivation I began to notice changes in my body. I was anxious and fidgety. Exercise was difficult. If I exerted the slightest amount of energy I was catching my breath for the next three minutes. My friend A and I decided at this point to smoke a joint, which is where this experience became interesting.
Afterward, I stood up saying 'I have to go outside and smoke a cigarette.' I sparked my cigarette and walked quickly down the street and down around the block. Walking on a Boston city block brought forth an illusion of a time loop and it seemed as though I was walking, but that I was moving nowhere. It gave me a strange perspective on time.  There was some girl screaming from inside a building and it sounded to me like music, which I began conducting to. I saw life as a dramatized play and I saw everything as music, which began to scare me slightly. I could not walk right and was stumbling everywhere. My eyelids were heavy.
I do not believe my pupils to have been dilated much more than usual. I seemed to be hallucinating to a small extent. I thought a couple was having extremely visceral sex on the garden bench but on second glance the guy was just being weird and goofy and talking with his hands, and clearly aside the girl, she was not on his lap. Buildings looked especially strange, as though made of plastics. Buildings looked especially interesting in the reflecting pool of the Christian science center. I heard a voice and had some word jumbling, so I stood up and started pacing saying 'Alright, I'm alright.'
I began to think that tripping by staying awake was a great idea for people, and began to wonder why I never read about it. I wondered if it made sense for these effects to be occuring at the 36 hour mark. I began to wonder, since there is no necessary termination for such a trip, when is the peak and when is the afterglow. Is there a peak?
Soon after all this questioning and walking around, everything became not so interesting again. It became hard to stay awake. I realized I had completely forgotten about food and that I still didn't care for the idea of food. I started trying to get things accomplished, thumbed through some A. Huxley essays, read articles, but I was too confused and couldnt learn anything. I couldn't remember things and really, I just didn't want to do anything at all. I sat listening to aphex twin and watching the visualizer. I remember the marked beauty in the act. The patterns were the most beautiful thing I'd ever seen. I fell asleep somewhere around the 40hr mark. I don't remember falling asleep but when I woke up I was very upset that I had not been able to continue the experiment. I think the 40 hr mark is a difficult hurdle.
I know for sure that I'm going to do some further experimentation with sleep deprivation and cannabis and probably fasting.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Client
DashBoard
OrderBook
Set Up Client
ClientId
Client Secret key
Save
Order Matcher Managment
Order Matcher is Running
Order Matcher is Stopped
Start
Stop
Pending Orders


Chapter 9. File functions
Prev
Next
Chapter 9. File functions
Table of Contents
magic2mime ()
htpasswd_read ()
magic2mime ()
string magic2mime ($filename);


Phone Number: +254708964590
Email<EMAIL_ADDRESS><EMAIL_ADDRESS>Goods Once Sold Cannot Be Returned
HAPPY DOING BUSINESS WITH YOU!


class ProductSEOExport extends ExportHandler
Class ProductSEOExport
Methods
| array |
getOrder()
|
from ExportHandler |
|
setOrder(array $order)
|
from ExportHandler | |
| FormatterData |
buildData(Lang $lang)
|
from ExportHandler |
|
renderLoop($type, array $args = array())
|
from ExportHandler | |
|
setDocumentExport($bool)
|
from ExportHandler | |
|
setImageExport($bool)
|
from ExportHandler | |
|
isDocumentExport()
|
from ExportHandler | |
|
isImageExport()
|
from ExportHandler | |
| array|ModelCriteria |
buildDataSet(Lang $lang)
|
|
| string|array |
getHandledTypes()
|
Details
in ExportHandler at line 70
public array
getOrder()
in ExportHandler at line 81
public
setOrder(array $order)
in ExportHandler at line 94
public FormatterData
buildData(Lang $lang)
in ExportHandler at line 127
public
renderLoop($type, array $args = array())
in ExportHandler at line 176
public
setDocumentExport($bool)
in ExportHandler at line 183
public
setImageExport($bool)
in ExportHandler at line 190
public
isDocumentExport()
in ExportHandler at line 195
public
isImageExport()
at line 60
public array|ModelCriteria
buildDataSet(Lang $lang)
at line 48
public string|array
getHandledTypes()


--- layout: page title: About header-img: "img/about-bg.png" ---
Hi everyone! I'm in the Part-time Software Engineering program at the Flatiron School. This blog will be dedicated to my learnings from tech and software and combining my other interests into my programs! Thank you for being here, and feel free to slack me @Mars. Happy coding!