Class Rotation maintains a sequenced list of shift and off-shift time periods.
More...
Class Rotation maintains a sequenced list of shift and off-shift time periods.
◆ Rotation()
| Point85.ShiftSharp.Schedule.Rotation.Rotation |
( |
| ) |
|
|
inline |
◆ AddSegment()
| RotationSegment Point85.ShiftSharp.Schedule.Rotation.AddSegment |
( |
Shift |
startingShift, |
|
|
int |
daysOn, |
|
|
int |
daysOff |
|
) |
| |
|
inline |
Add a working period to this rotation. A working period starts with a shift and specifies the number of days on and days off.
- Parameters
-
| startingShift | Starting shift of rotation |
| daysOn | Number of day on shift |
| daysOff | Number of days off shift |
- Returns
- Part of the rotation
◆ CompareTo()
| int Point85.ShiftSharp.Schedule.Rotation.CompareTo |
( |
Rotation |
other | ) |
|
|
inline |
Compare thsi rotation to another rotation
- Parameters
-
- Returns
◆ GetDayCount()
| int Point85.ShiftSharp.Schedule.Rotation.GetDayCount |
( |
| ) |
|
|
inline |
Get the number of days in the rotation
- Returns
◆ GetDuration()
| Duration Point85.ShiftSharp.Schedule.Rotation.GetDuration |
( |
| ) |
|
|
inline |
Get the duration of this rotation
- Returns
- Duration
◆ GetPeriods()
| List<TimePeriod> Point85.ShiftSharp.Schedule.Rotation.GetPeriods |
( |
| ) |
|
|
inline |
get the shifts and off-shifts in the rotation
- Returns
- List of time periods
◆ GetWorkingTime()
| Duration Point85.ShiftSharp.Schedule.Rotation.GetWorkingTime |
( |
| ) |
|
|
inline |
Get the shift rotation's total working time
- Returns
- Duration
◆ ToString()
| override string Point85.ShiftSharp.Schedule.Rotation.ToString |
( |
| ) |
|
|
inline |
Build a string representation of this rotation
- Returns
- String
◆ RotationSegments
| List<RotationSegment> Point85.ShiftSharp.Schedule.Rotation.RotationSegments |
|
get |
working periods in the rotation
◆ WorkSchedule
| WorkSchedule Point85.ShiftSharp.Schedule.Rotation.WorkSchedule |
|
getset |
The documentation for this class was generated from the following file:


No talks between Uddhav Thackeray, Mohan Bhagwat: Shiv Sena's Sanjay Raut
Interacting with reporters, Raut also said his party’s MLAs and the Opposition Congress and NCP "would not cross sides"
There have been no talks between Shiv Sena chief Uddhav Thackeray and Rashtriya Swayamsevak Sangh (RSS) chief Mohan Bhagwat on government formation in Maharashtra, Sena leader Sanjay Raut said on November 7.
"There have been no talks yet between Bhagwat and Thackeray," Raut said.
Asked if he represented his party’s views amid the stalemate over government formation in Maharashtra, Raut said: "I put forth views of Uddhav Thackeray."
Interacting with reporters in Mumbai, Raut said his party’s Members of Legislative Assembly (MLAs) and the Opposition Congress and NCP "would not cross sides".
Even two weeks after the Assembly election result, the Bharatiya Janata Party (BJP) and Shiv Sena are locked in a tussle over the chief minister's post. The saffron alliance combined has won 161 seats, way past the 145 majority mark in the 288-member House. BJP won 105 seats, Shiv Sena 56, NCP 54 and Congress 44.
The tenure of the present Assembly ends on November 9.
According to reports, both parties have held back-channel talks and a breakthrough is expected soon. It remains unclear as to what will be the concession offered by the BJP to the Sena if the latter decides to withdraw its demand for the chief minister’s position.
(With inputs from PTI)
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The xsl:output
element is used to control the format of serial output files resulting
from the transformation. It is always a top-level element immediately below thexsl:stylesheet
element.
There may be multiple xsl:output
elements; their values are accumulated as described in the
XSLT specification.
The following attributes may be specified:
|
name |
This provides a name for this output format, which may be referenced
in the |
|
method |
This indicates the format or destination of the output. The value "xml" indicates XML output (though if disable-output-escaping is used there is no guarantee that it is well-formed). A value of "html" is used for HTML output. The value "text" indicates plain text output: in this case no markup may be written to the file using constructs such as literal result elements, xsl:element, xsl:attribute, or xsl:comment. The value "xhtml" is supported, however, the output of this method doesn't follow all the rules defined in the XSLT 2.0 specification, for example, no META element is created in the output. Alternatively output can be directed to a user-defined Java program by specifying the name of the class as the value of the method attribute, prefixed by a namespace prefix, for example "xx:com.me.myjava.MyEmitter". The class must be on the classpath, and must implement either the org.xml.sax.DocumentHandler interface, the org.xml.sax.ContentHandler interface, or the net.sf.saxon.output.Emitter interface. The last of these, though proprietary, is a richer interface that gives access to additional information. |
|
cdata-section-elements |
This is used only for XML output. It is a whitespace-separated list of element names. Character data belonging to these output elements will be written within CDATA sections. |
|
doctype-system |
This is used only for XML output: it is copied into the DOCTYPE declaration as the system identifier |
|
doctype-public |
This is used only for XML output: it is copied into the DOCTYPE declaration as the public identifier. It is ignored if there is no system identifier. |
|
encoding |
A character encoding, e.g. iso-8859-1 or utf-8. The value must be one recognised both by the Java run-time system and by Saxon itself: the encoding names that Saxon recognises are ASCII, US-ASCII, iso-8859-1, utf-8, utf8, KOI8R, cp1251. It is used for three distinct purposes: to control character conversion by the Java I/O routines; to determine which characters will be represented as character entities; and to document the encoding in the output file itself. The default (and fallback) is utf-8. |
|
escape-uri-attributes |
New in XSLT 2.0: values "yes" or "no" are accepted. This affects HTML output only.
It controls whether non-ASCII characters in HTML URI-valued attributes (for example, |
|
include-content-type |
New in XSLT 2.0: values "yes" or "no" are accepted. This affects HTML output only.
It controls whether a |
|
indent |
as in the XSLT spec: values "yes" or "no" are accepted. The indentation algorithm is different for HTML and XML. For HTML it avoids outputting extra space before or after an inline element, but will indent text as well as tags, except in elements such as PRE and SCRIPT. For XML, it avoids outputting extra whitespace except between two tags. The emphasis is on conformance rather than aesthetics! |
|
media-type |
For example, "text/xml" or "text/html". This is largely documentary. However, the value assigned is passed back to the calling application in the OutputDetails object, where is can be accessed using the getMediaType() method. The supplied servlet application SaxonServlet uses this to set the media type in the HTTP header. |
|
omit-xml-declaration |
The values are "yes" or "no". For XML output this controls whether an xml declaration should be output; the default is "no". |
|
standalone |
This is used only for XML output: if it is present, a standalone attribute is included in the XML declaration, with the value "yes" or "no". |
|
use-character-maps |
A space-separated list of the names of character maps (see xsl:character-map) which will be applied to transform individual characters during serialization. |
|
version |
Determines the version of XML or HTML to be output. Currently this is documentary only. |
See extensions.html for descriptions of additional attributes
supported by Saxon on the xsl:output
declaration.


My Name is Thulana Thidaswin (Black Board name : Heenatigala Thidaswin ) :p
I am student 4 in the Course work and I made the PRODUCTS and the Site map pages
Im new in JAVA and HTML as I did python at school so im getting the hang of it thanks to my lecturers and my friends
This is the first website I ever made with more to come in the future Loved doing it
I learnt a lot of things during this course cant wait what the module Web dev got in store with us
Files I made
HTML:Thulana.html,Sitemap.html,Gallery.html
JavaScript:Gallery.js
CSS:ButtonStyle.css,Gallery.css,Thulana.css
BB Number:W1838837 IIT number:20200904


So many of us are demotivated to achieve anything.Such people are not enthusiastic about anything.They don’t want to work towards any goal.Nothing motivates them to work.Why many of us are not motivated?What is wrong?We think in different ways and our thinking is decided by many factors. Some are known and some are
At about this time of year, some months after New Year’s resolutions have been made and kept, or made and neglected, one thing is undeniable: we have a chance to learn and grow every day, no matter what we did not do yesterday or


Home
Portfolio
Contact
Contact Me
Email
<EMAIL_ADDRESS>Github Profile
github.com/abbynf
LinkedIn
My Linkedin Profile
Phone
801.425.2714


This site is the poem OUT, the last poem of the book SEVERAL ROTATIONS.
A new extension is auto-generated hourly.
To read the latest extension, go to Latest. To access extensions generated within the last 24 hours, or others further in the past, go to Recent.
All extensions are stored in a database and are a cumulative and continuous end to the book.
The code for this site is at https://github.com/jseldess/several-rotations.
{% endblock %}


Hint
Think about the relationship between number of pizzas and slices.
How many slices can you get from each pizza?
How many slices can you get in total?


This page is an index of the different examples explained in the French EduTechWiki article.
Interactivity examples with a button.
Interactivity examples with multiple buttons.
How to interact with input from the user (e.g. text input, ...)


“The application of GIS is limited only by the imagination of those who use it”
-Jack Dangermond, Esri
More than just GIS
In my opinion, the Geospatial Computing degree gives you all of the benefits of an Interdisciplinary degree (studying topics from a broad, but connected, range of fields, lots of options as a graduate entering the workforce, etc) but without any of the less desirable consequences (a degree that may seem unfocused).
As a student, I got to learn geology, GIS, remote sensing, chemistry, statistics, calculus, and several programming languages. You also get to earn a supplemental certificate in a focus area of your choice, such as system administration, Computer-aided drafting, data science, or networking. This degree has many options available so you can customize it to your own personal taste and career goals.
View the 2019-2020 Course CatalogThese are courses that I both thoroughly enjoyed attending and in which I learned great GIS and/or critical thinking principles.


Prism Lite is a personalized reminder & information management system that seeks to enhance cognitive and social engagement of older adults.
Center on Aging and Behavioral Research at Weill Cornell Medicine.
Prism Lite
Visual guides for the activities and tools available in Prism Lite
Learn to open the inbox folder and select an email you wish to read.
Learn to reply to an email or forward it to another contact.
Learn to open the composition tool to write and send an email.
Learn to save an email as a draft when you are not yet ready to send it.
Learn to open a previously saved draft, continue where you left off, and send it when you're done.
Learn to delete and undelete an email or draft.
Learn to add an event to a calendar.
Learn to edit a prevously created calendar event.
Learn to create a repeating calendar event.


Lay out paper towels on the work surface. Wear thin, disposable gloves to keep your hands clean and prevent anything sticking to the lipstick. Expose the broken end that is still set in the base. If it hasn't already fallen off, pick it up with a gloved hand.
Using a match or lighter, carefully run the flame underneath the broken part of the lipstick to soften it. Slightly melt the end of the lipstick that's still in the tube. Take care not to burn the lipstick or melt the case. Press the broken piece gently to the base of the lipstick.
Use a toothpick or the end of a clean match to gently move the sides of the lipstick together and seal the stick as one piece. Let it cool until it's completely solid. If it still feels soft, leave it in for a while longer so it doesn't break again.


Accessible Autocomplete
View the full library of accessibility solutions.
This is an accessible autocomplete which works with keyboard, screen readers, switch devices, and touch screens.
Example
This solution is written in jQuery using fake data. Future TODOs: 1) write in vanilla JS 2) instantiation.
NOTE: type any letter to get 6 results. Any 2 letters gives you 3 results; 3 letters gives you 1 result.
It's up to you to set mobile style handling but here's an example .
Keyboard Interaction
- UP and DOWN: Cycles through auto-suggestions and input field.
- ESC: Close the menu
- ENTER: Select the currently focused auto-suggestion and close the menu.
- TAB: Select the currently focused auto-suggestion, close the menu, and move focus to the next focusable element.
Screen-reader Interaction
- when the search field gains focus an initial instruction is announced.
- when search results are returned the count and instructions are announced.
- when suggestions are arrowed through they are spoken aloud.
Aria
- input: aria-describedby="initInstr" aria-owns="results" aria-expanded="false" aria-autocomplete="both" aria-activedescendant=""
- ul: id="results" role="listbox"
- li: id="" role="option" aria-selected="false"


--- layout: post title: Wicket Exception when using wrong order in addComponent date: 2011-02-19 17:19:01.000000000 +01:00 type: post published: true status: publish categories: - Technology tags: - java - wicket meta: _edit_last: '2' _icl_translator_note: '' _wp_old_slug: '' dsq_thread_id: '3768853607' _jetpack_related_posts_cache: a:0:{} author: login: admin email<EMAIL_ADDRESS>display_name: gerbrand first_name: Gerbrand last_name: van Dieijen ---
Today I working on a application that uses the Wicket framework. I was plagued with the following Exception:
WicketMessage: org.apache.wicket.WicketRuntimeException: component myForm:myTable:editor not found on page nl.gerbrand-ict.gui.HomePage[id = 4], listener interface = [RequestListenerInterface name=IActivePageBehaviorListener, method=public abstract void org.apache.wicket.behavior.IBehaviorListener.onRequest()] Root cause: ...
In place of the ... there was a full stacktrace, which information that's not not relevant for this posting.
Turned out the solution was pretty simple, but the cause isn't that easy to find and is quite a good example how some design decisions in Wicket aren't considered as clean.
I'm using Ajax-features of Wicket extensively.
I was creating a table, which contained editable fields (AjaxEdiableLabel). This would allow the user to click on a field in the table, to edit the content.
Somewhere I had the following code:
target.addComponent(item); if .. needed .. { target.addComponent(myTable.this); ... make item invisible } super.onSubmit(target);
The super.onSubmit belonged, in this case, to AjaxEditableLabel. I found out the super.onSubmit() would call target.addComponent(this); to update the editable label itself. As you could see, in my code I'm telling wicket to update the component that's the parent of the editable label also.
In this case, the code caused wicket to first update the parent-panel, which in this case makes the child-component invisible. Then the wicket tries to redraw the child-component, which is then invisible. That will trigger the above error.
Unfortunately, solving this error isn't quite easy in all cases. Especially when you'd use a AjaxSelfUpdatingBehaviour you can have little control on the redrawing order.
Fortunately I found a good tip on the wicket mailing list to get rid of the exception. Add the following code your Wicketapplication class (the class that extends org.apache.wicket.protocol.http.WebApplication):
@Override protected IRequestCycleProcessor newRequestCycleProcessor() { //Tip from http://apache-wicket.1842946.n4.nabble.com/WicketRuntimeException-component-not-found-on-page-td3055902.html return new WebRequestCycleProcessor(){ public IRequestTarget resolve(final RequestCycle requestCycle, final RequestParameters requestParameters) { try { return super.resolve(requestCycle, requestParameters); } catch (InvalidUrlException e) { if (requestCycle.getRequest().getURL().contains("LinkListener") || requestCycle.getRequest().getURL().contains("BehaviorListener")) { log.warn("Couldn't process event, is ignored because of: "+e.getMessage()); //ignore exception return new PageRequestTarget(requestCycle.getRequest().getPage()); } else { //normal operation throw e; } } } }; }
The above code will ignore all of the exception that occur when wicket tries to do something with an component that's no longer available because of an ajax-update. Of course this fix isn't very nice, hopefully later versions of Wicket fix the error all-together when Ajax-support is improved. For now, this seems the best solution.


Barbarian
strong and resourceful
Bard
the Wandering Caretaker
Cleric
the warrior-priests
Druid
The Forest Defenders
Fighter
Pinnacle of Martial Combat
Monk
unarmed combat Specialist
Paladin
The holy knights
Ranger
the Hunters
Rogue
the clever tricksters
Sorcerer
masters of arcane magic
Wizard
Powerful spellcasters


CRUX Building x Restoration has a website that currently reads "Sorry, the site is under construction right now because we have been busy on construction sites." Needless to say, people were not enjoying their first encounter with CRUX if they happened upon this site. We set out to create a web presence to change that.
CRUX Building x Restoration needed a full branding experience. First a logo was created. Next business cards. Lastly, and most importantly, CRUX was lacking any web presence so a website was necessary. Naturally, priority number one became creating a mobile-ready website to attract and acquire customers.
CRUX Building x Restoration has clients from all walks of life. Potential visitors to the site (or clients) could be anyone from a young, tech-savvy couple to a professional housewife; from a DIYer with poor follow through to an old couple that understands the days of swinging hammers are gone. A simple site with lots of images and a simple form to contact CRUX would more than get the job done.
CRUX Building x Restoration needed a website to attract and acquire customers. It needed clean, simple design and an easy to navigate UI. The two most important objectives were:
1. EXAMPLES images of previous jobs
2. CONTACT a way to get in touch
These objectives were the main inspiration for the website. Easy-to-use image galleries of job types and a contact page with a simple, short form and one CTA.
CRUX Building x Restoration has one mission:
Design,
create,
and build
amazing houses
and remodels.
However, it is equally important to the CRUX family to invest in the community and provide for the next generation. And this new web presence will help CRUX do just that.


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*IN THE HIGH COURT OF DELHI AT NEW DELHI % Date of decision: 26th September, 2012 + W.P.(C) No.1762/2012 VINOD KUMAR JAIN ..... Petitioner Through: Mr. Arvind Sah, Adv. Versus SECRETARY, MINISTRY OF ENVIRONMENT & ORS. ..... Respondents
Through: Mr. Nitin Saluja, Adv. for Mr. N.
Waziri, Adv. for R-1.
Mr. Suresh Tripathi, Adv. for DJB.
Mr. Biraja Mahapatra & Mr. D.K.
Pradhan, Advs. for R-4/DPCC.
CORAM :-
HON'BLE THE CHIEF JUSTICE HON'BLE MR. JUSTICE RAJIV SAHAI ENDLAW RAJIV SAHAI ENDLAW, J
1. This writ petition, filed in public interest, seeks direction to the respondent No.1 Ministry of Environment (MoE) and the respondent No.2 Delhi Jal Board (DJB) to ensure that the treated sewage water flowing into the water bodies conforms to the designated best use standards and meets the Guidelines set up by the Central Pollution Control Board (CPCB) (impleaded as respondent No.3), direction is also sought against the DJB to regularly monitor the flow of treated water W.P.(C) No.1762/2012 Page 1 of 9 from the various Sewerage Treatment Plants (STPs) and to submit report to this Court from time to time.
2. Notice of the writ petition was issued and counter affidavits have been filed on behalf of MoE, DJB and the respondent No.4 Delhi Pollution Control Committee (DPCC).
3. The petition pleads:
(i) that CPCB was constituted under the Water (Prevention and Control of Pollution) Act, 1974 to promote cleanliness of streams and wells in different areas of the States and for which purpose it lays down standards for a stream or wells, collects and compiles data relating to water pollution and devises measures for prevention and control of pollution and relating to disposal of sewage and sewage effluents;
(ii) that CPCB has carried out sample testing of the STPs in Delhi and has also fixed the best designated use standards for streams;
(iii) that the responsibility of maintaining the standards fixed by respondent No.3 CPCB is of the respondent No.2 DJB; W.P.(C) No.1762/2012 Page 2 of 9
(iv) that the STPs are in abysmal state of inefficiency and inadequacy as is evident from the colour and foul smell that emanates from the treated water which is discharged into the water bodies and which is unfit to support any plant, animal or marine life or even for irrigation;
(v) that the report of CPCB of the year 2003 gives details of inadequacies of STPs to treat sewage, under-utilization of STPs etc.;
(vi) that of 3267 million liters of sewage generated everyday, capacity exists only for treating 2330 million liters per day and actual treatment is only of about 1478 million liters per day;
(vii) Master Plan of Delhi 2021 has also adopted the standards laid down by respondent No.3 CPCB;
(viii) that the purity of water is determined inter alia by its capacity to hold Oxygen and the Biochemical Oxygen Demand, pH measurement, Fecal Coliform etc.; W.P.(C) No.1762/2012 Page 3 of 9
(ix) that in order to reuse the treated sewage water, it is imperative that the STPs should be efficient enough;
(x) that the report of CPCB of the year 2003 found the treated sewage water to be much below the designated best use standards;
(xi) that the STPs currently in operation are not even designed to achieve the standards laid down;
(xii) that the treated sewage water is not fit for revitalization even for the water bodies where it is emptied;
(xiii) that the technology of STPs is outdated;
(xiv) that the STPs are run by persons who do not have knowledge and experience of operation thereof;
(xv) comparison is drawn with STPs in use in Singapore, where 30% of the daily water requirement is met from treated water from the STPs; and (xvi) owing to insufficiency and inefficient treatment, the water bodies are drying up.
W.P.(C) No.1762/2012 Page 4 of 9
4. MoE in its counter affidavit has stated that STPs are being operated by respondent No.2 DJB and monitored for treated waste water quality by the DPCC.
5. DJB in its counter affidavit has pleaded that the treated effluent may be used for all non-potable purpose i.e. irrigation, horticulture, washing, cooling and industrial use; that the treatment depends on the intended use of the treated effluent; that for enhancing the quality standard of treated effluent, the cost of treating sewage becomes expensive exponentially; that however to avoid pollution of ground water and harm to plants, animals and aqua life, it is not advisable to recharge ground water or water bodies with treated sewage because of the standards maintained of the STPs; the treated effluent is discharged into flowing water i.e. drains / rivers so that due to self natural process, the treated effluent further improves its quality - that is why discharging treated effluent in water bodies like ponds, lakes etc. is never recommended; that the Supreme Court has already taken up the matter in W.P.(C) No.725/1994 and DJB has submitted its Action Plan for improving the quality of river Yamuna through the project of "Laying of Interceptor Sewer along three major drains for abatement of Pollution in W.P.(C) No.1762/2012 Page 5 of 9 river Yamuna" and which work is to be completed by the year 2014 and which will ensure that all untreated sewage flowing into the natural stream will be intercepted and conveyed to the nearest STPs for proper treatment. DJB has however admitted that the total sewage generated is 680 mega gallon per day while the treatment capacity is only of 513.4 mega gallon per day, to be increased to 618.4 mega gallon per day by December, 2012 and 730.4 mega gallon per day by the year 2014. It is stated that the conditions of Singapore cannot be compared with Delhi. Along with the counter affidavit, analysis reports for the different months of the year 2012 have been filed and which are stated to be as per the prescribed standards.
6. We have considered the matter. The reliefs claimed in the writ petition are threefold. Firstly, that the treated sewage flowing into the water bodies conforms to the standards prescribed therefor; secondly, for the STPs to meet the Guidelines set up by CPCB and lastly for monitoring of the STPs.
7. As far as the last of the three reliefs is concerned, DPCC has admitted that it is continuously monitoring the 24 STPs. Vis-à-vis the second relief, though the petitioner on the basis of the reports of the year W.P.(C) No.1762/2012 Page 6 of 9 2003 has contended that the STPs do not meet the prescribed standards but DPCC on the basis of the reports of the year 2012 has shown the STPs to be compliant therewith. DPCC in its counter affidavit has further assured to continue monitoring the STPs in future also.
8. That brings us to the first of the aforesaid reliefs. The apprehension of the petitioner is that the treated sewage water flowing into the water bodies does not conform to the prescribed standards. However DJB in its counter affidavit has made a distinction between water bodies as ponds and lakes on the one hand and a river on the other hand and pleaded that while discharge of treated sewage into river Yamuna is seized of by the Supreme Court, treated sewage water is not prescribed to flow into the water bodies as ponds and lakes.
9. The Supreme Court being seized of the matter qua discharge of treated sewage into river Yamuna, it is not for this Court to entertain the petition qua the same. As far as the discharge of treated sewage into other water bodies is concerned, as aforesaid, it is the stand of DJB that it is not advisable to so discharge treated sewage into such water bodies. It is rather further stated that wherever treated sewage water is found to be W.P.(C) No.1762/2012 Page 7 of 9 flowing into the water bodies as ponds and lakes, complaint thereof is made.
10. In view of the said stand, qua the said relief, we dispose of the writ petition with the following directions:
A. We direct the DPCC to, from time to time check / monitor all the STPs to ensure functioning thereof as per prescribed standards and upon finding any defect / deficiency therein or upon finding treated sewage therefrom to be not conforming to prescribed standards, immediately bring the same to notice of DJB.
B. We direct DJB to operate the STPs as per prescribed standards and to immediately upon receipt of any complaint from DPCC or otherwise, rectify the defects. C. We direct DPCC as well as DJB to ensure that treated sewage from STPs is not discharged into water bodies as lakes / ponds etc., unless the same is compliant with prescribed standards.
W.P.(C) No.1762/2012 Page 8 of 9
No other directions are required in this petition, the same is disposed of.
RAJIV SAHAI ENDLAW, J CHIEF JUSTICE SEPTEMBER 26, 2012 „gsr‟ W.P.(C) No.1762/2012 Page 9 of 9


Snookes1516.github.io
Do an experiment with Friction Here's the situation: you're driving and there's a traffic jam up ahead. Make your selections, and see if you can stop your vehicle. How to Motivate Your Kids to Do Homework (without having a nervous breakdown yourself) By Chick Moorman and Thomas Haller.
What are "Jim Crow" laws, and how do they relate - eNotes.
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Self-Publishing Vanity Publishing: Confuse Growing up poor in modern Australia: this week Four Corners asks children what it's like being poor in the midst of plenty. ClassZone Book Finder. Follow these simple steps to find online resources The nagging, the battles, the lost papers—do you dread school work as much as the kids do? Here's how to help them hit the books and develop good study habits. Who Did Patrick's Homework - Magic. How Decluttering Saves Me Money, Time, And Stress.
When do you use DO? DO is used as follows: 1. DO is used when talking about work, jobs or tasks. Note, they do not produce any physical object. I’ll be honest, I have a low threshold for tolerating people who complain endlessly about a situation but refuse to take actionable steps towards change. Answers - The Most Trusted Place for Answering Life's. Growing Up Poor - Four Corners.
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 We can break down emotional intelligence into five categories;
IQ is an intelligence test score that aims to measure a persons cognitive ability. Some have suggested that an individuals success in school depends on their IQ but their success in life depends on their EQ.
It is also generally believed that you are born with your IQ level and that it is predominantly genetic but your EQ is something that is acquired and developed.
Emotional Intelligence has been shown to play an important role in career success, mental and physical health and relationships. The ability to understand and manage your emotions is an extremely important quality in the workplace. Communicating well with people, influencing them and understanding how they feel are valuable skills that will serve you well in both your professional and personal life.


Product Information
| PRODUCTID | PRODUCT_NAME | PRICE |
| 14365 | 56 inch HDTV | $6999.99 |
| 24569 | 60 GB Hard Drive | $149.99 |
| 32226 | Dog Bone | $1.99 |
| 35632 | DVD Player | $214.99 |
| 56970 | 80 GB Hard Drive | $179.99 |
| PRODUCTID | PRODUCT_NAME | PRICE |
| 14365 | 56 inch HDTV | $6999.99 |
| 24569 | 60 GB Hard Drive | $149.99 |
| 32226 | Dog Bone | $1.99 |
| 35632 | DVD Player | $214.99 |
| 56970 | 80 GB Hard Drive | $179.99 |


In bats, ! does not cause a test failure
#!/usr/bin/env bats
@test "test" {
# ... code
! test_file_exists
# ... more code
}
#!/usr/bin/env bats
@test "test" {
# ... code
run ! test_file_exists
# ... more code
}
Bats uses set -e
and trap ERR
to catch test failures as early as possible.
Although the return code of a !
negated command is inverted, they will never trigger errexit
, due to a bash design decision (see Related Resources).
This means that tests which use !
can never fail.
Starting with bats 1.5.0 you can use !
inside run
.
If you are still using an older bats version, you can rewrite ! <command>
to <command> && exit 1
.
The return code of the last command in the test will be the exit code of the test function.
This means that you can use ! <command>
on the last line of the test and it will still fail appropriately.
However, you are encouraged to still use run !
in this case for consistency.
set -e
and negated return codetrap [-lp] [[arg] sigspec ...]
): The ERR trap is not executed [...] if the command's return value is being inverted via !


Date (from):
(to)
Time (from):
(to)
Input
Output
Both
Top
Users
№
User ID
Input Bytes
Input Packets
Output Bytes
Output Packets
Bytes sum
Packets sum
Summary
Top5
Top10


Syntax:
digit-char-p char &optional radix => weight
Arguments and Values:
char---a character.
radix---a radix. The default is 10.
weight---either a non-negative integer less than radix, or false.
Description:
Tests whether char is a digit in the specified radix (i.e., with a weight less than radix). If it is a digit in that radix, its weight is returned as an integer; otherwise nil is returned.
Examples:
(digit-char-p #\5) => 5 (digit-char-p #\5 2) => false (digit-char-p #\A) => false (digit-char-p #\a) => false (digit-char-p #\A 11) => 10 (digit-char-p #\a 11) => 10 (mapcar #'(lambda (radix) (map 'list #'(lambda (x) (digit-char-p x radix)) "059AaFGZ")) '(2 8 10 16 36)) => ((0 NIL NIL NIL NIL NIL NIL NIL) (0 5 NIL NIL NIL NIL NIL NIL) (0 5 9 NIL NIL NIL NIL NIL) (0 5 9 10 10 15 NIL NIL) (0 5 9 10 10 15 16 35))
Affected By:
None. (In particular, the results of this predicate are independent of any special syntax which might have been enabled in the current readtable.)
Exceptional Situations: None.
See Also:
Notes:
Digits are graphic characters.


Puppies vs. Kittens
Cast your vote for the cuter creature: puppies or kittens!
Vote for Kittens!
Vote for Puppies!


Selecting set variables
[Branching]
Functions | |
| SetVarBranch | Gecode::SET_VAR_NONE (void) |
| Select first unassigned variable. | |
| SetVarBranch | Gecode::SET_VAR_RND (Rnd r) |
| Select random variable (uniform distribution, for tie breaking). | |
| SetVarBranch | Gecode::SET_VAR_MERIT_MIN (SetBranchMerit bm, BranchTbl tbl=NULL) |
| Select variable with least merit according to branch merit function bm. | |
| SetVarBranch | Gecode::SET_VAR_MERIT_MAX (SetBranchMerit bm, BranchTbl tbl=NULL) |
| Select variable with highest merit according to branch merit function bm. | |
| SetVarBranch | Gecode::SET_VAR_DEGREE_MIN (BranchTbl tbl=NULL) |
| Select variable with smallest degree. | |
| SetVarBranch | Gecode::SET_VAR_DEGREE_MAX (BranchTbl tbl=NULL) |
| Select variable with largest degree. | |
| SetVarBranch | Gecode::SET_VAR_AFC_MIN (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with smallest accumulated failure count with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_AFC_MIN (SetAFC a, BranchTbl tbl=NULL) |
| Select variable with smallest accumulated failure count. | |
| SetVarBranch | Gecode::SET_VAR_AFC_MAX (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with largest accumulated failure count with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_AFC_MAX (SetAFC a, BranchTbl tbl=NULL) |
| Select variable with largest accumulated failure count. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_MIN (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with lowest activity with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_MIN (SetActivity a, BranchTbl tbl=NULL) |
| Select variable with lowest activity. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_MAX (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with highest activity with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_MAX (SetActivity a, BranchTbl tbl=NULL) |
| Select variable with highest activity. | |
| SetVarBranch | Gecode::SET_VAR_MIN_MIN (BranchTbl tbl=NULL) |
| Select variable with smallest minimum unknown element. | |
| SetVarBranch | Gecode::SET_VAR_MIN_MAX (BranchTbl tbl=NULL) |
| Select variable with largest minimum unknown element. | |
| SetVarBranch | Gecode::SET_VAR_MAX_MIN (BranchTbl tbl=NULL) |
| Select variable with smallest maximum unknown element. | |
| SetVarBranch | Gecode::SET_VAR_MAX_MAX (BranchTbl tbl=NULL) |
| Select variable with largest maximum unknown element. | |
| SetVarBranch | Gecode::SET_VAR_SIZE_MIN (BranchTbl tbl=NULL) |
| Select variable with smallest unknown set. | |
| SetVarBranch | Gecode::SET_VAR_SIZE_MAX (BranchTbl tbl=NULL) |
| Select variable with largest unknown set. | |
| SetVarBranch | Gecode::SET_VAR_DEGREE_SIZE_MIN (BranchTbl tbl=NULL) |
| Select variable with smallest degree divided by domain size. | |
| SetVarBranch | Gecode::SET_VAR_DEGREE_SIZE_MAX (BranchTbl tbl=NULL) |
| Select variable with largest degree divided by domain size. | |
| SetVarBranch | Gecode::SET_VAR_AFC_SIZE_MIN (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with smallest accumulated failure count divided by domain size with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_AFC_SIZE_MIN (SetAFC a, BranchTbl tbl=NULL) |
| Select variable with smallest accumulated failure count divided by domain size. | |
| SetVarBranch | Gecode::SET_VAR_AFC_SIZE_MAX (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with largest accumulated failure count divided by domain size with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_AFC_SIZE_MAX (SetAFC a, BranchTbl tbl=NULL) |
| Select variable with largest accumulated failure count divided by domain size. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_SIZE_MIN (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with smallest activity divided by domain size with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_SIZE_MIN (SetActivity a, BranchTbl tbl=NULL) |
| Select variable with smallest activity divided by domain size. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_SIZE_MAX (double d=1.0, BranchTbl tbl=NULL) |
| Select variable with largest activity divided by domain size with decay factor d. | |
| SetVarBranch | Gecode::SET_VAR_ACTIVITY_SIZE_MAX (SetActivity a, BranchTbl tbl=NULL) |
| Select variable with largest activity divided by domain size. |
Function Documentation
| SetVarBranch Gecode::SET_VAR_NONE | ( | void | ) | [inline] |
Select first unassigned variable.
| SetVarBranch Gecode::SET_VAR_RND | ( | Rnd | r | ) | [inline] |
Select random variable (uniform distribution, for tie breaking).
| SetVarBranch Gecode::SET_VAR_MERIT_MIN | ( | SetBranchMerit | bm, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with least merit according to branch merit function bm.
| SetVarBranch Gecode::SET_VAR_MERIT_MAX | ( | SetBranchMerit | bm, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with highest merit according to branch merit function bm.
| SetVarBranch Gecode::SET_VAR_DEGREE_MIN | ( | BranchTbl | tbl | ) | [inline] |
Select variable with smallest degree.
| SetVarBranch Gecode::SET_VAR_DEGREE_MAX | ( | BranchTbl | tbl | ) | [inline] |
Select variable with largest degree.
| SetVarBranch Gecode::SET_VAR_AFC_MIN | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest accumulated failure count with decay factor d.
| SetVarBranch Gecode::SET_VAR_AFC_MIN | ( | SetAFC | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest accumulated failure count.
| SetVarBranch Gecode::SET_VAR_AFC_MAX | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest accumulated failure count with decay factor d.
| SetVarBranch Gecode::SET_VAR_AFC_MAX | ( | SetAFC | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest accumulated failure count.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_MIN | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with lowest activity with decay factor d.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_MIN | ( | SetActivity | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with lowest activity.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_MAX | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with highest activity with decay factor d.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_MAX | ( | SetActivity | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with highest activity.
| SetVarBranch Gecode::SET_VAR_MIN_MIN | ( | BranchTbl | tbl | ) | [inline] |
Select variable with smallest minimum unknown element.
| SetVarBranch Gecode::SET_VAR_MIN_MAX | ( | BranchTbl | tbl | ) | [inline] |
Select variable with largest minimum unknown element.
| SetVarBranch Gecode::SET_VAR_MAX_MIN | ( | BranchTbl | tbl | ) | [inline] |
Select variable with smallest maximum unknown element.
| SetVarBranch Gecode::SET_VAR_MAX_MAX | ( | BranchTbl | tbl | ) | [inline] |
Select variable with largest maximum unknown element.
| SetVarBranch Gecode::SET_VAR_SIZE_MIN | ( | BranchTbl | tbl | ) | [inline] |
Select variable with smallest unknown set.
| SetVarBranch Gecode::SET_VAR_SIZE_MAX | ( | BranchTbl | tbl | ) | [inline] |
Select variable with largest unknown set.
| SetVarBranch Gecode::SET_VAR_DEGREE_SIZE_MIN | ( | BranchTbl | tbl | ) | [inline] |
Select variable with smallest degree divided by domain size.
| SetVarBranch Gecode::SET_VAR_DEGREE_SIZE_MAX | ( | BranchTbl | tbl | ) | [inline] |
Select variable with largest degree divided by domain size.
| SetVarBranch Gecode::SET_VAR_AFC_SIZE_MIN | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest accumulated failure count divided by domain size with decay factor d.
| SetVarBranch Gecode::SET_VAR_AFC_SIZE_MIN | ( | SetAFC | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest accumulated failure count divided by domain size.
| SetVarBranch Gecode::SET_VAR_AFC_SIZE_MAX | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest accumulated failure count divided by domain size with decay factor d.
| SetVarBranch Gecode::SET_VAR_AFC_SIZE_MAX | ( | SetAFC | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest accumulated failure count divided by domain size.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_SIZE_MIN | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest activity divided by domain size with decay factor d.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_SIZE_MIN | ( | SetActivity | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with smallest activity divided by domain size.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_SIZE_MAX | ( | double | d, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest activity divided by domain size with decay factor d.
| SetVarBranch Gecode::SET_VAR_ACTIVITY_SIZE_MAX | ( | SetActivity | a, | |
| BranchTbl | tbl | |||
| ) | [inline] |
Select variable with largest activity divided by domain size.


Jay Erwin April
Unafffiliated
Retired
PhD, Economics and Analytics, University of Colorado MBA, University of Hartford BA in Philosophy, BS in Aeronautical Engineering, University of Illinois
80211
Serving on a variety of committees, Boards, and alliances has given me experience in working cooperatively in public organizations. Listening, sharing, setting objectives, and integrating priorities are especially important to achieve results. While members of a group or team might have common objectives, there may be reservations or objections that individuals have that prevent the group from achieving the objectives. When this occurs, the need for conflict resolution methods may be required. I have been trained in conflict resolution and have had numerous opportunities to employ these methods successfully. My experience in conflict resolution may be required in serving on the commission.
I have made small donations, from $25 to $50, to a number of candidates. I have worked on campaigns for several candidates including Michael Hancock, Amanda Sandoval, Hank Brown, Bill Owens, Bill Armstrong, Dick Lamm and Pat Schroeder to name a few.
Board Member of Berkeley Regis Registered Neighborhood Organization; Member Regis University Community Council; Chairman Denver Golf Advisory Committee; Member Denver Game Plan Task Force; Member of Denver Sustainability Advisory Council; consultant to the National Science Foundation; prior to 2015 appointment to Denver Parks and Recreation Advisory Board.
I believe it is imperative to create districts that equitably represent the interests of all citizens. To create congressional districts that do not favor one party, the district boundaries must be established to insure voters choose their representatives and not the other way around. The independent commission process for establishing congressional districts is new to Colorado and I would be honored to serve on the first one. Colorado voters deserve competitve elections and the redistricting process should enable that result; by serving on the commission I expect to contribute to realizing that result.
I will promote consensus by listening and using skills acquired from my education, experience in leading meetings, serving on many public and private committees and employing conflict resolution methods gained through certified conflict resolution practices. Having worked in the high tech industry for many years, I have had to be fair and impartial in dealing with clients, peers and employees who have high intellectual capacities, advanced educations and skills, often accompanied with large egos. They are highly aware of identifying biases in decision making and not shy regarding pointing them out. I have learned that fair and impartial decisions are requirements in gaining trust and commitments to achieving results. This has also worked most of the time in dealing with my children.
In my PhD thesis, I employed highly sophisticated analytical methods to solve difficult problems. This provided a framework for identifying root causes and differentiating them from symptoms. By serving on a variety of committees I gained experience in working with people with both similar and opposing interests to achieve consensus. Where there is a team of people working to achieve an agreed upon objective, one must make sure the objective is understood and if there are any reservations, the reservations are identified, discussed and resolved or the objective will not be readily achieved. This process takes logic and reason and familiarity with conflict resolution tools. Additionally, if data are to be analyzed, knowledge of techniques such as data mining may be necessary in order to process the census data appropriately. I have experience in applying data analysis techniques including pattern recognition, machine learning, and neural networks.
Male


404: File Not Found
You got a four o’ four
You got a four o’ four
When the path looks rough ahead
And you’re miles and miles
From your asset bed
You just remember what this error said
Boy, you got a four o’ four
Yeah, you got a four o’ four
Click here for the downloads homepage
Click here for the Features page


This is V1. So far I have created the main page listed as index.html, the about page listed as about.html and the style page listed as style.css I have also used the image from my Facebook page for this page as well. Finally, I have also created a couple of links to the facebook page that this website will attached to. So far my grasp of css is basic to say the least, i have added colors and fonts and centered items but that is about the extent of how far I have gone.


A molecular quantum dynamics and spectroscopy package
This package is currently capable of the following calculations:
PLDM (Partially Linearized Density Matrix)
TWA (Truncated Wigner Approximation)
- Reduced density matrix dynamics of a system-bath model where the bath consists of a set of harmonic oscillators. (currently under construction)
SQC/MM (Symmetrical Quasi-Classical / Meyer-Miller)
- Reduced density matrix dynamics of a system-bath model where the bath consists of a set of harmonic oscillators. Calculation can be performed with the original square windowing scheme or the triangular windowing scheme.
- Linear optical response function for a system-bath model where the bath consists of a set of harmonic oscillators. Calculation can be performed with the original square windowing scheme or the triangular windowing scheme. (Currently in submission to the Journal of Chemical Physics)
- Equilibrium Imaginary time path integral calculation of the exact equilibrium reduced density matrix in the site basis for a system that has populations bi-linearly coupled to a bath of harmonic oscillators.
Compilation
Compilation of this program requires CMake minimum version 3.2. To compile this program (from the current directory), execute mkdir build && cd build
followed by cmake ../ && make
. To run tests, execute make test
. The executables will be in the run
directory. To build the documentation, execute make docs
.
MQDS on GitHub
JP gratefully acknowledges the Molecular Sciences Software Institute for funding the development of the MQDS package, as well as the mentorship of Dr. Benjamin Pritchard.


To implement views with google charts, use all derived class from BaseChartView, these are:
ChartView: Display simple group by method charts. TimeChartView: Displays simple group by month and year charts. DirectChartView: Display direct data charts, no group by is applied.
class ContactChartView(ChartView):
search_columns = ['name','group']
datamodel = SQLAModel(Contact)
chart_title = 'Grouped contacts'
label_columns = ContactGeneralView.label_columns
group_by_columns = ['group']
Notice that:
| label_columns: | Are the labels that will be displayed instead of the model’s columns name. In this case they are the same labels from ContactGeneralView. |
|---|---|
| group_by_columns: | |
| Is a list of columns that you want to group. |
this will produce a Pie chart, with the percentage of contacts by group. If you want a column chart just define:
chart_type = 'ColumnChart'
You can use ‘BarChart’, ‘LineChart’, ‘AreaChart’ the default is ‘PieChart’, take a look at the google charts documentation, the chart_type is the function on ‘google.visualization’ object
Let’s define a chart grouped by a time frame?
class ContactTimeChartView(TimeChartView):
search_columns = ['name','group']
chart_title = 'Grouped Birth contacts'
label_columns = ContactGeneralView.label_columns
group_by_columns = ['birthday']
datamodel = SQLAModel(Contact)
this will produce a column chart, with the number of contacts that were born on a particular month or year. Notice that the label_columns are from and already defined ContactGeneralView take a look at the Quick How to
Finally we will define a direct data chart
class StatsChartView(DirectChartView):
datamodel = SQLAModel(Stats)
chart_title = lazy_gettext('Statistics')
direct_columns = {'Some Stats': ('stat1', 'col1', 'col2'),
'Other Stats': ('stat2', 'col3')}
direct_columns is a dictionary you define to identify a label for your X column, and the Y columns (series) you want to include on the chart
This dictionary is composed by key and a tuple: {‘KEY LABEL FOR X COL’:(‘X COL’,’Y COL’,’Y2 COL’,...),...}
Remember ‘X COL’, ‘Ys COL’ are identifying columns from the data model.
Take look at a more detailed example on quickcharts.
Register everything, to present your charts and create the menu:
baseapp.add_view(ContactTimeChartView, "Contacts Birth Chart", icon="fa-envelope", category="Contacts")
baseapp.add_view(ContactChartView, "Contacts Chart", icon="fa-dashboard", category="Contacts")
You can find this example at: https://github.com/dpgaspar/Flask-AppBuilder/tree/master/examples/quickhowto
Take a look at the API Reference. For additional customization
Note
You can use charts has related views also, just add them on your related_views properties.
Some images:


{% extends "base.html" %} {% block title %}HearthSounds {% if q %} - {{q}} {% endif %} {% endblock %} {% block header %}HearthSounds{% endblock %} {% block content %}
Get hearthstone card sounds. Now with sounds from The Boomsday Project!
{% for card in cards %}


[§321-403] Food safety control system. The department may conduct studies using the hazard analysis critical control points system after foodborne disease outbreak investigations are completed by the department or when requested by food service operators. [L 1992, c 219, pt of §1]


BIODATA
MY PERSONAL DETAILS
| Name: | SUSMIN MARIAM CHACKO |
|---|---|
| Address: | Thayil Narakathani PO,Vennikulam |
| DOB: | 21/03/1999 |
| Gender: | Female |
| Email-id: |<EMAIL_ADDRESS>|
| Contact No: |<PHONE_NUMBER> |
| Father Name: | T A Chacko |
| Mother Name: | Sosamma Chacko |
| Religion: | Christian |
| Nationality: | Indian |
| Marital Status: | Single |
| Languages Known: | Malayalam,English |
EDUCATIONAL QUALIFICATION
| COURSE | INSTITUTION | PERCENTAGE | YEAR |
|---|---|---|---|
| BSc Computer Science | St.Thomas College, Kozhencherry | 63% | 2020 |
| 12th | CMS Higher Secondary School, Mallappally | 82.5% | 2017 |
| 10th | St.Behanan's Higher Secondary School, Vennikulam | 84% | 2015 |


Vector Fields
A vector field assignes a vector to every point in some region of space. Perhaps the quintessential vector field is the electric field of an isolated charge.
Take a moment to play with the field to the left. The clearest feature is that there are vectors everywhere, not just at a specific point. This is the difference between a vector field and a vector. The electric field extends over space. But the the velocity vector of a car is defined only at the location of the car.
Spin the field around and notice that while individual arrows move, the field as a whole looks the same after any rotation in any direction. This is an example of what is called spherical symmetry. Another way to visualize spherical symmetry is that the field has the same strength at every point on a sphere centered at the origin of the field.[Considering adding a control to show such a sphere]
Taking a look at the equation for the field, we see that it is dependant on so we expect the spherical symmetry.
We can also write this in terms of cartesian coordinates using
We substitute this into the expression for and get this longer looking expression. This is another common method for writing out vector equations, using separate equations for each of the , , and components of the field.
Comparing these two expressions for reveals that math and physics can frequently be simplified by choosing a representation that reflects the symmetry of the problem.


Harnessing the potential of
Artificial Intelligence
for Sustainable Development
A joint initiative of UNDP Nature, Climate, and Energy Team, UNDP Finance Sector Hub, and UNDP Istanbul International Center for Private Sector in Development (IICPSD)


Implementations of semiparametric cure rate estimators for interval censored data in R. The algorithms are based on the promotion time and frailty models, all for interval censoring. For the frailty model, there is also a implementation contemplating clustered data.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | foreach, survival, MASS, stats4, Matrix, iterators, parallel |
| Suggests: | testthat, knitr, rmarkdown, doParallel |
| Published: | 2016-01-12 |
| Author: | Julio Brettas [aut, cre] |
| Maintainer: | Julio Brettas <jbrettas at ime.usp.br> |
| BugReports: | https://github.com/JBrettas/intercure/issues |
| License: | GPL-2 | GPL-3 |
| URL: | https://github.com/JBrettas/intercure |
| NeedsCompilation: | no |
| In views: | Survival |
| CRAN checks: | intercure results |
| Reference manual: | intercure.pdf |
| Vignettes: |
Vignette Title |
| Package source: | intercure_0.1.0.tar.gz |
| Windows binaries: | r-devel: intercure_0.1.0.zip, r-release: intercure_0.1.0.zip, r-oldrel: intercure_0.1.0.zip |
| OS X binaries: | r-release: intercure_0.1.0.tgz, r-oldrel: intercure_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=intercure to link to this page.


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Vernier Go Direct® JavaScript
Example 1: Showing Sensor Information
This example shows how you can use the godirect-js module to list information on a Vernier Go Direct Sensor. This includes:
- Name
- Serial Number
- Order Code
- Typical Measurement Period
- Battery Level
- Charging State
- Sensors:
- Name
- Units
- Incompatible Sensors


Elephant Rescue
Female elephants spend their entire lives in tight-knit matrilineal family groups, some of which are made up of more than ten members, including three mothers and their dependent offspring, and are led by the matriarch which is often the eldest female.[91] She remains leader of the group until death[86] or if she no longer has the energy for the role;[92] a study on zoo elephants showed that when the matriarch died, the levels of faecal corticosterone ('stress hormone') dramatically increased in the surviving elephants.[93] When her tenure is over, the matriarch's eldest daughter takes her place; this occurs even if her sister is present.[86] One study found that younger matriarchs are more likely than older ones to under-react to severe danger.[94] Family groups may split after becoming too large for the available resources.[95]
The social circle of the female elephant does not necessarily end with the small family unit. In the case of elephants in Amboseli National Park, Kenya, a female's life involves interaction with other families, clans, and subpopulations. Families may associate and bond with each other, forming what are known as bond groups which typically made of two family groups. During the dry season, elephant families may cluster together and form another level of social organisation known as the clan. Groups within these clans do not form strong bonds, but they defend their dry-season ranges against other clans. There are typically nine groups in a clan. The Amboseli elephant population is further divided into the "central" and "peripheral" subpopulations.[91]Some elephant populations in India and Sri Lanka have similar basic social organisations. There appear to be cohesive family units and loose aggregations. They have been observed to have "nursing units" and "juvenile-care units". In southern India, elephant populations may contain family groups, bond groups and possibly clans. Family groups tend to be small, consisting of one or two adult females and their offspring. A group containing more than two adult females plus offspring is known as a "joint family". Malay elephant populations have even smaller family units, and do not have any social organisation higher than a family or bond group.[91] Groups of African forest elephants typically consist of one adult female with one to three offspring. These groups appear to interact with each other, especially at forest clearings.[91]
The social life of the adult male is very different. As he matures, a male spends more time at the edge of his group and associates with outside males or even other families. At Amboseli, g males spend over 80% of their time away from their families when they are 14–15. When males permanently leave, they either live alone or with other males. The former is typical of bulls in dense forests. Asian males are usually solitary, but occasionally form groups of two or more individuals; the largest consisted of seven bulls. Larger bull groups consisting of over 10 members occur only among African bush elephants, the largest of which numbered up to 144 individuals.[96]
Male elephants can be quite sociable when not competing for dominance or mates, and will form long-term relationships.[97] A dominance hierarchy exists among males, whether they range socially or solitarily. Dominance depends on the age, size and sexual condition,[96] and when in groups, males follow the lead of the dominant bull. Young bulls may seek out the company and leadership of older, more experienced males,[97] whose presence appears to control their aggression and prevent them from exhibiting "deviant" behaviour.[98] Adult males and females come together for reproduction. Bulls associate with family groups if an oestrous cow is present.[96]


Run the query in the right panel.
To quickly fix the problem with the sub-select statement, change it to return only a single row using the Fetch First syntax. If you look at the SQL in the editor, you'll see that 'fetch first row only' has been added to the query. This tells DB2 to only return one row, which is exactly what the query needs the sub-select to return.
Running this new query results in the report working as expected.


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| Modifier and Type | Method and Description |
|---|---|
static ExecutionPropertyMap<VertexExecutionProperty> |
ExecutionPropertyMap.of(IRVertex irVertex)
Static initializer for irVertex.
|
| Modifier and Type | Method and Description |
|---|---|
ExecutionPropertyMap<VertexExecutionProperty> |
IRVertex.getExecutionProperties() |
| Modifier and Type | Method and Description |
|---|---|
IRVertex |
IRVertex.setProperty(VertexExecutionProperty<?> executionProperty)
Set an executionProperty of the IRVertex.
|
IRVertex |
IRVertex.setPropertyPermanently(VertexExecutionProperty<?> executionProperty)
Set an executionProperty of the IRVertex, permanently.
|
| Modifier and Type | Method and Description |
|---|---|
<T extends Serializable> |
IRVertex.getPropertyValue(Class<? extends VertexExecutionProperty<T>> executionPropertyKey)
Get the executionProperty of the IRVertex.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ClonedSchedulingProperty
Specifies cloned execution of a vertex.
|
class |
DynamicOptimizationProperty
DynamicOptimizationType ExecutionProperty.
|
class |
IgnoreSchedulingTempDataReceiverProperty
A property represents that a vertex annotated with this property doesn't process any data and
should be regarded as a kind of "marker" to construct a temporary edge that contains some data that
have to be written before it's usage is not determined (e.g., for caching).
|
class |
ParallelismProperty
Parallelism ExecutionProperty.
|
class |
ResourceLocalityProperty
This property decides whether or not to schedule this vertex only on executors where
source (including intermediate) data reside.
|
class |
ResourcePriorityProperty
ExecutionPlacement ExecutionProperty.
|
class |
ResourceSiteProperty
Map between node name and the number of parallelism which will run on the node.
|
class |
ResourceSkewedDataProperty
This property decides whether or not to handle skew when scheduling this vertex.
|
class |
ResourceSlotProperty
This property decides whether or not to comply to slot restrictions when scheduling this vertex.
|
class |
ScheduleGroupProperty
ScheduleGroup ExecutionProperty.
|
| Modifier and Type | Method and Description |
|---|---|
ExecutionPropertyMap<VertexExecutionProperty> |
Task.getExecutionProperties() |
ExecutionPropertyMap<VertexExecutionProperty> |
Stage.getExecutionProperties() |
Set<VertexExecutionProperty> |
StagePartitioner.getStageProperties(IRVertex vertex) |
| Modifier and Type | Method and Description |
|---|---|
void |
StagePartitioner.addIgnoredPropertyKey(Class<? extends VertexExecutionProperty> ignoredPropertyKey)
By default, the stage partitioner merges two vertices into one stage if and only if the two vertices have
same set of
VertexExecutionProperty . |
<T extends Serializable> |
Task.getPropertyValue(Class<? extends VertexExecutionProperty<T>> executionPropertyKey)
Get the executionProperty of this task.
|
<T extends Serializable> |
Stage.getPropertyValue(Class<? extends VertexExecutionProperty<T>> executionPropertyKey)
Get the executionProperty of the IREdge.
|
| Constructor and Description |
|---|
Stage(String stageId,
DAG<IRVertex,RuntimeEdge<IRVertex>> irDag,
ExecutionPropertyMap<VertexExecutionProperty> executionProperties,
List<Map<String,Readable>> vertexIdToReadables)
Constructor.
|
Task(String planId,
String taskId,
ExecutionPropertyMap<VertexExecutionProperty> executionProperties,
byte[] serializedIRDag,
List<StageEdge> taskIncomingEdges,
List<StageEdge> taskOutgoingEdges,
Map<String,Readable> irVertexIdToReadable)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
Optional<SchedulingConstraint> |
SchedulingConstraintRegistry.get(Class<? extends VertexExecutionProperty> propertyClass)
Returns
SchedulingConstraint for the given VertexExecutionProperty . |
Copyright © 2019 The Apache Software Foundation. All rights reserved.


In England as in Spain there are some chains of supermarkets, where you can find lots of different products.
They are the supermarket more popular of England and they have a space in every town.
In my opinion they have a medium quality but they have different ranges, since the supermarket ones until and others own of the supermarket with special quality, and others from UK.
Most of the agricultural products have an european origin and most of them produced in UK.
For this two chains of supermarkets they exist a second kind of market more small with the sufix of express. This places use to be near tube stations, petrol stations, etc.
You could not find fresh food but there is a lot of basic stuff, like bakery, newspaper, milk, or fast food like sandwich or burgers. The price of the things could be a 33% more expensive
than in the normal supermarket.
Every friday they replace everything of the place who go to expire, sandwich for example expire weekly and it is a good time to buy things 3 hours before they close the market. There
are a lot of bargains and most of the cases it could be other week to really expire the product.
These supermarkets have more variety of products than the others. Despite Morrisons, ALDI only has supermarkets in big towns. Generally speaking they have prices more competitive
and the medium class products use to be better than the supermarket I have talked before. In addition, Morrisons has high class products.
I had seen ALDIS in London but I couldn´t see in other town or village I was. In spite of ALDI, Morrisons is very extended in all England and in all villages more than 5k population
I had seen ALDIS in London but I couldn´t see in other town or village I was. In spite of ALDI, Morrisons is very extended in all England and in all villages more than 5k population
use to be one and very often the biggest of the village.
Most of the stuff in this chains is high class products and there is a lot of things. The price is superior to the other markets, up to 50%.
It is the equivalent to Eroski, or Carrefour in Spain. They are big surfaces where you can find not only food.
Also they are very competitives and the quality is not that bad. It use to be in the big towns.
This supermarket has one of the prices more competitive in frozen stuff, however in my opinion the other products not have an acceptable quality. For products like snacks, sweets, cans they have the best prices of all supermarkets and the quality is the same. So it is interested if you go to buy this kind of stuff.
This shop is like a spanish "TODO A CIEN", buth there is for one pound. You can find the same things for fast food like in iceland and other basic stuff.
Also there is stuff related to home with a minimum quality like scholar, bathroom or kitchen material. But the quality of this material use to be very low.
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[gecode-users] Gecode 3.5.0 faster than Gecode 3.7.0?
Kish Shen
kisshen at cisco.com
Tue Sep 20 12:15:40 CEST 2011
Hi,
A follow-up: I've found another program (solves the crowded chessboard
problem, using a "natural" model where each chess piece is modelled with
a different domain value in a singe board, rather than having a 0/1
board for each chess pieces). This program uses count with =, and is 20%
slower in 3.7.0 (compared to 3.5.0).
Since I am getting this slow-down in two different programs, it could
mean that a count constraint with less than full domain consistency
could be useful. Does it make sense for Gecode to provide this?
Thanks and cheers,
Kish
On 14/09/2011 13:19, Christian Schulte wrote:
> Okay, you got me red-handed here: before 3.7.0 count was in fact not domain
> consistent for the case
> count(x,y,=,z)
> where y is a variable. The pruning for y was actually missing (the values
> for y can only be the values in x provided z>= 1).
>
> So, a bug fix if you wish ;-)
>
> Cheers
> Christian
>
> --
> Christian Schulte, KTH, web.it.kth.se/~cschulte/
>
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Kish Shen
> Sent: Wednesday, September 14, 2011 2:12 PM
> To: users at gecode.org
> Subject: Re: [gecode-users] Gecode 3.5.0 faster than Gecode 3.7.0?
>
> Hi Christian,
>
> Thanks for your reply!
>
> The documentation for both 3.7.0 and 3.5.0 say that the single value count
> constraint achieves domain consistency. I thought you can't really do better
> (more pruning) than domain consistency for single constraints, or am I
> mistaken?
>
> Cheers,
>
> Kish
>
> On 14/09/2011 09:35, Christian Schulte wrote:
>> This is most likely due to the count constraint. In Gecode 3.7.0 it
>> tries to do more pruning and that might cause the slow down (and your
>> examples might not necessarily profit from the additional pruning).
>>
>> Cheers
>> Christian
>>
>> --
>> Christian Schulte, KTH, web.it.kth.se/~cschulte/
>>
>> -----Original Message-----
>> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On
>> Behalf Of Kish Shen
>> Sent: Tuesday, September 13, 2011 6:41 PM
>> To: users at gecode.org
>> Subject: [gecode-users] Gecode 3.5.0 faster than Gecode 3.7.0?
>>
>> Hi,
>>
>> I have just upgrade the ECLiPSe interface to Gecode from Gecode 3.5.0
>> to 3.7.0. As I am currently doing some work on improving the
>> performance of the interface, I have been doing some timings with
>> example programs, and to my surprise, one of the example is running
>> consistently faster with 3.5.0. The run-times are:
>>
>> 3.5.0: 16.34s
>> 3.7.0: 19.99s
>>
>> The only change between these two is the version of Gecode used (plus
>> the changes in the C++ code needed for the upgrade, i.e. the #include
>> for the graph and scheduling modules).
>>
>> As the program is written in ECLiPSe, there is no direct record of the
>> actual Gecode API calls made. The problem is the "roster" example from
>> the ECLiPSe website, modified for use with the Gecode interface. This
>> example is solving a simple rostering problem, and there are a lot of
>> relational constraints posted, plus some boolean expressions, all
>> posted via the MiniModel, and there are also some count contraints
>> (occurrences of one value variant). The search is done in ECLiPSe,
>> i.e. not using the search-engines of Gecode.
>>
>> Is the above information sufficient for even guessing what the slow
>> down might be due to? If not, what additional information might be needed?
>>
>> Cheers,
>>
>> Kish
>>
>> --
>> This e-mail may contain confidential and privileged material for the
>> sole use of the intended recipient. Any review, use, distribution or
>> disclosure by others is strictly prohibited. If you are not the
>> intended recipient (or authorized to receive for the recipient),
>> please contact the sender by reply e-mail and delete all copies of this
> message.
>> Cisco Systems Limited (Company Number: 02558939), is registered in
>> England and Wales with its registered office at 1 Callaghan Square,
>> Cardiff, South Glamorgan CF10 5BT.
>>
>> _______________________________________________
>> Gecode users mailing list
>> users at gecode.org
>> https://www.gecode.org/mailman/listinfo/gecode-users
>>
>
>
> --
> This e-mail may contain confidential and privileged material for the sole
> use of the intended recipient. Any review, use, distribution or disclosure
> by others is strictly prohibited. If you are not the intended recipient (or
> authorized to receive for the recipient), please contact the sender by reply
> e-mail and delete all copies of this message.
> Cisco Systems Limited (Company Number: 02558939), is registered in England
> and Wales with its registered office at 1 Callaghan Square, Cardiff, South
> Glamorgan CF10 5BT.
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
--
This e-mail may contain confidential and privileged material for the
sole use of the intended recipient. Any review, use, distribution or
disclosure by others is strictly prohibited. If you are not the intended
recipient (or authorized to receive for the recipient), please contact
the sender by reply e-mail and delete all copies of this message.
Cisco Systems Limited (Company Number: 02558939), is registered in
England and Wales with its registered office at 1 Callaghan Square,
Cardiff, South Glamorgan CF10 5BT.
More information about the users
mailing list


gxv3240_mpk
gxv3240_mpk it's amateur project. it's created to simplify the routine work to a grandstream gxv 3240.
this program is very simply to use:
-
create a table in table editor (like microsoft excel) and copy past to text box
-
write device ip and press Go button (this action will close this page press link to open in browser)
-
login to device with built-in browser or use Login button (in text boxes default login). password char '1' is tribute for one stupid emploee
-
navigate to MPK EXT settings (Advanced Settings > MPK EXT1 Settings [or 2-4]) in built-in browser
-
press WriteMKP to add mpks to panel
-
enjoy
thanks for using!
watch on github


My skills include HTML, CSS, HTML5 Canvas, Javascript, Jquery, User Experience Design and Content Creation.
I've been learning to code on my own for several months and am three projects away from receiving a Front-End Developers Certificate from Free Code Camp!
I started learning html with no prior code knowledge. I've taken many courses and tutorials from various venues from all over the web and each day I strive to learn something new.
Making things has always been my passion in life. Now I've decided to take it a step further, and while I still make things with my hands, I'm here to make even more stuff with my brain!
Below are some of the projects I've built since I've begun learning to code. Some of these are projects for Free Code Camps Front-End Developers Course study and some are from personal interest. Right click on the images to access the projects in a new tab.
This Gypsy Fortune Teller is my version of Free Code Camp's random Quote Generator.
This is my version of Free Code Camp's Weather Application.
This is my completed Free Code camp calculator. It's one of four Advanced Front-End Development Projects required to complete the Certificate.
What began as a lesson in canvas and html5 at W3Schools turned into many frustrated hours of work on the Airship Obstacle Game you see above.
This Wikipedia Viewer project for Free Code Camp's Intermediate Front-End Projects was pretty straight forward.
This tribute to The Black Knight was my first real accomplishment. The Tribute assignment is one of the basic Projects for Free Code camp's Front-End Developers Certificate.
I am currently studying for a Bachelor's Degree in Business Information Systems and Learning to Code Full Time. In my spare time I brainstorm ideas for new projects, games, and web page design. If you like what I'm doing and you would like to discuss web page or gadget design/creation, please contact me via the form below.


ChronicleLogger Documentation
1
Main Page
Classes
Class List
Class Index
Class Hierarchy
Class Members
Files
File List
Generated on Mon Mar 29 16:14:36 2010 for
ChronicleLogger
by
Doxygen
1.5.9 using KingsTools


WITNESS LIST Electric Utility Restructuring - Special Committee February 8, 1999-9:30A SB 7 On: Bryant, Robert (Golden Spread Electric Cooperative; Texas Electric Cooperatives), Amarillo Cooke, Alex Ty (City of Lubbock), Lubbock Foster, Kent (Entergy), Little Rock, AR Gross, Robert (East Texas Cooperatives), Marietta, GA Roberson, Mark (Central and South West), Dallas Wilks, David (Southwestern Public Service), Amarillo Wood, Pat (P.U.C.T.), Austin


--- title: Tutorial - Sequence Classification keywords: fastai sidebar: home_sidebar summary: "Performing Sequence Classification with AdaptNLP" description: "Performing Sequence Classification with AdaptNLP" nb_path: "nbs/06a_tutorial.easy_sequence_classifier.ipynb" ---
Sequence Classification (or Text Classification) is the NLP task of predicting a label for a sequence of words.
For example, a string of That movie was terrible because the acting was bad
could be tagged with a label of negative
. A string of That movie was great because the acting was good
could be tagged with a label of positive
.
A model that can predict sentiment from text is called a sentiment classifier, which is an example of a sequence classification model.
Below, we'll walk through how we can use AdaptNLP's EasySequenceClassification module to easily do the following:
We'll first get started by importing the EasySequenceClassifier class from AdaptNLP and instantiating the
EasySequenceClassifier
class object.
from adaptnlp import EasySequenceClassifier
from pprint import pprint
classifier = EasySequenceClassifier()
With this class we can dynamically load models to run on inference.
Let's use the HFModelHub
to search for some pre-trained sequence classification models to use:
from adaptnlp.model_hub import HFModelHub
hub = HFModelHub()
We can either seach by task or by model name. Below is an example of the associated models HuggingFace has come out with:
hub.search_model_by_task('text-classification')
For this example though we will tag some text with a model that NLP Town has trained called nlptown/bert-base-multilingual-uncased-sentiment
. Let's find it in the model hub:
model = hub.search_model_by_name('nlptown/bert-base', user_uploaded=True)[0]; model
This is a multi-lingual model that predicts how many stars (1-5) a text review has given a product. More information can be found via. the Transformers model card here
Next we can perform some inference. First let's write some example text:
example_text = "This didn't work at all"
Then we can tell our classifier to tag some text with tag_text
:
sentences = classifier.tag_text(
text=example_text,
model_name_or_path=model,
mini_batch_size=1
)
Now let's look at our outputs:
print("Tag Score Outputs:\n")
for sentence in sentences:
pprint({sentence.to_original_text(): sentence.labels})
It's easy to pass in multiple sentences at once as well (in an array). Let's try that now:
multiple_text = ["This didn't work well at all.",
"I really liked it.",
"It was really useful.",
"It broke after I bought it."]
We'll pass it into the classifier
just like before:
sentences = classifier.tag_text(
text=multiple_text,
model_name_or_path=model,
mini_batch_size=2
)
And we can check the outputs again:
print("Tag Score Outputs:\n")
for sentence in sentences:
pprint({sentence.to_original_text(): sentence.labels})
{% include note.html content='The output is going to be a probility distribution of what the text should be tagged. If you’re running this on a GPU, you can specify the mini_batch_size
parameter to run mini-batch inference against your data for faster run time.' %}
You can set model_name_or_path
to any of Transformer's or Flair's pre-trained sequence classification models.
Let's tag some text with another model, specifically Oliver Guhr's German sentiment model called oliverguhr/german-sentiment-bert
.
First we'll write some german text:
german_text = ["Das hat überhaupt nicht gut funktioniert.",
"Ich mochte es wirklich.",
"Es war wirklich nützlich.",
"Es ist kaputt gegangen, nachdem ich es gekauft habe."]
And then tag it:
sentences = classifier.tag_text(
german_text,
model_name_or_path="oliverguhr/german-sentiment-bert",
mini_batch_size=1
)
{% include note.html content='As seen here, you can either search for a model through the various ModelHub
classes, or you can directly pass in the string to the model you want' %}
Let's look at the output:
print("Tag Score Outputs:\n")
for sentence in sentences:
pprint({sentence.to_original_text(): sentence.labels})
Don't forget you can still quickly run inference with the multi-lingual review sentiment model you loaded in earlier (memory permitting)! Just change the model_name_or_path
param to the model you used before.
Let's release the german sentiment model to free up some memory for our next step...training!
classifier.release_model(model_name_or_path="oliverguhr/german-sentiment-bert")
Let's imagine you have your own dataset with text/label pairs you'd like to create a sequence classification model for.
With the easy sequence classifier, you can take advantage of transfer learning by fine-tuning pre-trained models on your own custom datasets.
Note: The EasySequenceClassifier
is integrated heavily with the datasets.Dataset
and transformers.Trainer
class objects, so please check out the datasets and transformers documentation for more information.
We'll first need a "custom" dataset to start training our model. Our EasySequenceClassifier.train()
) method can run with either datasets.Dataset
objects or CSV data file paths. Since the datasets library makes it so easy, we'll use the datasets.load_dataset()
method to load in the IMDB Sentiment dataset. We'll show an example with a CSV later.
from datasets import load_dataset
train_dataset, eval_dataset = load_dataset('imdb', split=['train[:1%]', 'test[:1%]'])
# Uncomment below if you want to use all the data so you don't spend an hour+ on training and evaluation
#train_dataset, eval_dataset = load_dataset('imdb', split=['train', 'test'])
pprint(vars(train_dataset.info))
Let's take a brief look at what the IMDB Sentiment dataset looks like. We can see that the label column has two classes of 0 and 1. You can see the name of the classes mapped to the integers with train_dataset.features["names"]
.
train_dataset.set_format(type="pandas", columns=["text", "label"])
train_dataset[:]
Let's reformat it back into a more "pythonic" dataset:
train_dataset.set_format(columns=["text", "label"])
Uncomment below to see training done with CSV files. The cell below will just save the datasets.Dataset
objects you have in train_dataset
and eval_dataset
as CSVs and will train the model with the CSV file paths. Ignore to just continue to training.
#eval_dataset.set_format(type="pandas", columns=["text", "label"])
#train_dataset[:].to_csv("./IMDB train.csv", index=False)
#eval_dataset[:].to_csv("./IMDB eval.csv", index=False)
#train_dataset = "./IMDB train.csv"
#eval_dataset = "./IMDB eval.csv"
One of the first things we'll need to specify before we start training are the training arguments. Training arguments consist mainly of the hyperparameters we want to provide the model. These may include batch size, initial learning rate, number of epochs, etc.
We will be using the transformers.TrainingArguments
data class to store our training args. These are compatible with the transformers.Trainer
as well as AdaptNLP's train methods. For more documention on the TrainingArguments
class, please look here. There are a lot of arguments available, but we will pass in the important args and use default values for the rest.
The training arguments below specify the output directory for you model and checkpoints.
from transformers import TrainingArguments
training_args = TrainingArguments(
output_dir='./models',
num_train_epochs=1,
per_device_train_batch_size=4,
per_device_eval_batch_size=4,
warmup_steps=500,
weight_decay=0.01,
evaluation_strategy="steps",
logging_dir='./logs',
save_steps=100
)
Now we can run the built-in train()
method by passing in the training arguments. The training method will also be where you specify your data arguments which include the your train and eval datasets, the pre-trained model ID (this should have been loaded from your earlier cells, but can be loaded dynamically), text column name, label column name, and ordered label names (only required if loading in paths to CSV data file for dataset args).
Please checkout AdaptNLP's package reference for more information here.
classifier.train(training_args=training_args,
train_dataset=train_dataset,
eval_dataset=eval_dataset,
model_name_or_path="nlptown/bert-base-multilingual-uncased-sentiment",
text_col_nm="text",
label_col_nm="label",
label_names=["positive","negative"]
)
After training, you can evaluate the model with the eval dataset you passed in for training.
classifier.evaluate(model_name_or_path="nlptown/bert-base-multilingual-uncased-sentiment")
Now you can see it's a little weird that we're still using the model_name_or_path
of the pre-trained model we fine-tuned and took advantage of via. transfer learning. We can release the model we've fine-tuned, and then load it back in using the directory that we've serialized the fine-tuned model.
classifier.release_model(model_name_or_path="nlptown/bert-base-multilingual-uncased-sentiment")
sentences = classifier.tag_text(
multiple_text,
model_name_or_path="./models",
mini_batch_size=1
)
print("Tag Score Outputs:\n")
for sentence in sentences:
pprint({sentence.to_original_text(): sentence.labels})
And we're done!


TalentStack, my Capstone Project for the Actualize Bootcamp, is a fullstack web application designed to connect entrepreneurs with similar ideas and interests. With security of ideas in mind, the application allows users to sign up and post their ideas to receive feedback, advice and potentially find others interested in helping them pursue their vision.
An open-source JavaScript framework for building user interfaces.
A server-side web application framework written in Ruby.
Features that I'd like to highlight include the category tags, signup/login functionality, and DOM manipulation dependent on user authentication.
At the top of the Home page, there is a list of tags that when clicked on will display posts that have that tag association. Each post is allowed to have multiple tags and therefore can be found in many of the nine predetermined tags. Users are not allowed to create tags for the sake of site simplicity.
Here is the new post page, that a user fills in to create a new post. Each new idea must have a title, a pitch and an overview, otherwise an error will be triggered prompting the user to fix the appropriate field.
The posts edit page looks the same. The challenging part with the update functionality was the many-to-many relationship that posts had with tags. When working with the frontend, I wanted the user to only be able to choose between the nine prompted tags, so therefore radio buttons seemed like the best option.
When viewing posts, if you are logged in, an Edit button will appear next to the title of the post. Beneath the post title, breadcrumbs of information are displayed, including: post date, name of author, and tags the post is associated with.
At the bottom of every post there is a comment section where other users can leave comments. Users also have the ability to delete their comments if the comment belongs to them.
Ever user has a profile page that includes a card that includes their name, tagline, and links to their other social media platforms. Next to their profile card, a list of their authored posts is displayed for easy access.
For easy user navigation, the Create Post button can be seen in both the navigation bar and on the user's profile page below their profile card.
The last feature that I'd like to highlight is the login / sign up module that pops up if an unauthenticated user is trying to read a post. Users most likely won't feel comfortable uploading their ideas to a social newtorking based platform if they don't feel that they are secured. So therefore, users must first be authenticated and required to sign a basic NDA, which pops up similar to the login module, before reading anyone's idea. This is not at all verified as legally sound; it's simply my current solution as to how I could make users feel safer about sharing their ideas.
This project is still a work in progress due to the various bugs associated with the template installed CSS. However, in stead of fixing every bug, I plan to to seperate the backend and totally redesign the frontend with no template in an effort to give the site it's own look. I may end up using React in stead of Vue.js when rebuilding the frontend due to it's strength in scalability and my interest in learning more about this framework.
I do believe in the idea of TalentStack, primarily because this is the era where many people are trying to start their own business, but simply don't have the right tools, guidance or experience. With this site's main feature of idea security, I hope to create this "pre-kickstarter phase" site to help aspiring entrepreneurs like myself achieve their dreams.


Introduction to Computational Biology
This project is maintained by EDS@UGA
All announcements will be made in the Slack chat. This is also the appropriate venue for asking and answering questions.
The goal of this course is to provide students with little or no prior programming experience the necessary computer and programming skills to be computational biologists. Areas of focus include: structural biology, genomics, modeling, and bioimaging.
There are two lectures each week: Tuesday and Thursday, 3:30-4:45pm at Boyd GSRC 222. A series of six 2-week assignments, a midterm, and a final exam will help reinforce the concepts (Graduate students: in lieu of the 6th assignment, you will be working on a project; more details to come).
We will be using Python 3 for the course assignments. Python includes excellent documentation for learning the language, but if you want a textbook, I will be referencing Bioinformatics Programming Using Python and An Introduction to Bioinformatics Algorithms.
Course materials will be linked from the lecture schedule and permanently archived in the GitHub repository.
This course is based partly on CSCI 1360, but also takes elements from Dr. David Koes' MSCBIO 2025 and Dr. Phillip Compeau's courses. Apologies to them for the blatant rip-offs.
Shannon Quinn
Boyd GSRC 638A
Office Hours: Wednesdays, 12:30 - 2:30pm
squinn@cs.uga.edu


{# You're in the middle of a Craft {% switch %} statement. http://buildwithcraft.com/docs/templating/switch Start off your snippet with a case match for your field's proper name (case-sensitive). Then build our your code snippets with an {{ csMacro.codeBlock(' tag and
tag blog per snippet.
Make sure you follow the syntax examples here:
TODO: github wiki link
TODO: this field has settings that limit the date selector
so it might be nice to tell the user in the docs something
like "this field only shows the date, not the time" or
something along those lines. Check with Brandon/Brad?
Note that this twig comment blog will be stripped before
the final /cheatsheet.html file is built
#}
{% case 'Date' %}
{{ csMacro.codeBlock('Sample date formatting', '
{% if '
~ sampleTag ~ '.' ~ field.handle
~ ' %}\n'
~ whitespace
~ '{{ '
~ sampleTag ~ '.' ~ field.handle
~ ' | date(\'M j, Y\') }}\n'
~ '{% endif %}'
)}}
{{ csMacro.codeBlock('Get the Unix timestamp of the date', '
{{ '
~ sampleTag ~ '.' ~ field.handle
~ '.getTimestamp() }}'
)}}
There are many methods you can use on date fields. More documentation available here.


The completed applet is given below.
In this example applet, the x and y values for the start of the String are written as arithmetic expressions. The expression for x starts the string at the point half the string size to the left of half the drawing area's width. The expression for y starts the string at the point half the character size down from half the drawing area's height. Because going down the page means increasing Y, 10/2 is added to the center Y value. (There is a better way to do this, but it uses a few more methods.)
import java.applet.Applet; import java.awt.*; public class AnotherHello extends Applet { public void paint ( Graphics gr ) { setBackground( Color.lightGray ); gr.drawString("Hello", (300/2 - 40/2), (150/2 + 10/2) ); } }
Here is what the applet does with your Web browser:


| Transaction Type | Amount | Status | Remittance Provider | Date/Time | Action |
|---|---|---|---|---|---|
| Remittance | KHD 2500 | Approved | M Lhuillier | May 1, 2014 - 9:00 AM | |
| Remittance | HKD 1500 | Approved | M Lhuillier | April 30, 2014 - 9:00 AM | |
| Remittance | HKD 1200 | Approved | Western Union | April 25, 2014 - 8:00 AM | |
| Remittance | Remittance | Approved | M Lhuillier | April 25, 2014 - 7:45 AM |


---
# jekyll header
---
{% include header.html %}
Test Profile #1
Summary
{% include StructureDefinition-test-organization-header.xhtml %}
{% include StructureDefinition-test-organization-summary.xhtml %}
Differential
{% include StructureDefinition-test-organization-diff.xhtml %}
Snapshot
{% include StructureDefinition-test-organization-snapshot.xhtml %}
UML
{% include StructureDefinition-test-organization-uml.xhtml %}
XML template
{% include StructureDefinition-test-organization-pseudo-xml.xhtml %}
JSON template
{% include StructureDefinition-test-organization-pseudo-json.xhtml %}
Turtle Template
{% include StructureDefinition-test-organization-pseudo-ttl.xhtml %}
Terminology Bindings
{% include StructureDefinition-test-organization-tx.xhtml %}
Invariants
{% include StructureDefinition-test-organization-inv.xhtml %}
Other stuff
{% include StructureDefinition-test-organization-sch.xhtml %}
{% include StructureDefinition-test-organization-sd-xref.xhtml %}
{% include StructureDefinition-test-organization-shex.xhtml %}
{% include StructureDefinition-test-organization-json-schema.xhtml %}
Definitions
{% include StructureDefinition-test-organization-dict.xhtml %}
Mappings
{% include StructureDefinition-test-organization-maps.xhtml %}
{% include StructureDefinition-test-organization-xml-html.xhtml %}
{% include StructureDefinition-test-organization-json-html.xhtml %}
{% include StructureDefinition-test-organization-ttl-html.xhtml %}
{% include footer.html %}