|
| virtual Step | safeProcess (DataStore &dataStore)=0 |
| | This method is called by the process method. The logic of the module shall be coded here. This method IS thread safe, but if your logic is heavy and requires only small parts to be protected, consider using a ASharedModule. More...
|
| |
◆ process()
This method can be called at anytime by any module, it passes arguments through the DataStore.
- Parameters
-
| dataStore | Containing data required for the execution of the protected module |
- Returns
- a Step that let the ThreadPool know if it can continue to the next module or stop and send a response
Implements xzia::ASharedModule.
◆ safeProcess()
| AProtectedModule::safeProcess |
( |
DataStore & |
dataStore | ) |
|
|
protectedpure virtual |
This method is called by the process method. The logic of the module shall be coded here. This method IS thread safe, but if your logic is heavy and requires only small parts to be protected, consider using a ASharedModule.
- Parameters
-
| dataStore | Containing data required for the execution of the protected module |
- Returns
- a Step that let the ThreadPool know if it can continue to the next module or stop and send a response
The documentation for this class was generated from the following files:
- /home/edouard/Documents/2017/ZIA/ExistenZIA/API/include/modules/AProtectedModule.hpp
- /home/edouard/Documents/2017/ZIA/ExistenZIA/API/src/modules/AProtectedModule.cpp


class BtcModelPrediction(builtins.object) |
| |
Class object for predicting bitcoin prices from 2 techniques:
1. Time Series prediction
2. Linear Regression
The prediction is done taking into account all the historical data.
:member attributes: in_path_btc: input path for BTC prices
in_path_comm: input path for commodity prices
in_path_gtrends: input path for Google search
trends
out_path: output path for writing to a csv file |
| |
Methods defined here:
- __init__(self, params)
- Initialize self. See help(type(self)) for accurate signature.
- final_prediction(self)
- Method to create a composite prediction by taking inputs from
both time-series and linear regression model.
Writes a row to the csv that is read by the UI component.
: param self
: return error_val(int)
- linear_prediction(self)
- Method to predict BTC price for next day on external regressors:
1. Oil Price
2. Google trends
Uses scikit learn library to run linear regression.
: param self
: return pred_reg(float)
error_val(int)
- time_prediction(self)
- Method to predict the BTC price for one day based on historical
prices. Uses a library 'prophet' made open-source by Facebook.
The library gives a confidence interval, and seperately provides
trend and seasonality.
: param self
:return future['yhat'](float)
error_val(int)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|


Fiserv
B2B white-label banking product
Fiserv provides financial technology to numerous institutions, credit unions, thrifts and retailers across the country. A trusted fintech company, Fiserv provides its clients with innovative methods and solutions to a range of problems.
The fintech space has some of the most complicated paths for a user and it was our job to come up with efficient solutions to complete those tasks. Users transfer money to their friends and family for professional services or simply paying the tab at a restaurant. Drawing from user testing and research I was able to immerse myself into the many paths a user can take to complete a transfer.
My team consisted of over a dozen people. Comprised of designers, developers, project managers, business analysts and QA. Along with our team, we collaborated with Fiserv’s business and technology teams.
Understanding the project context
The Challenge
The challenge was to create a white - label banking application that could be utilized by multiple financial institutions. When the team broke the project down to different features, I was tasked to build the transfer feature. I built multiple flows where a consumer could make a simple one - time transfer or a more complicated transfer, such as a recurring transfer that took place on the 1st and 15th of every month.
My Role
I took ownership of the transfer work stream as well as assisted with research and IA documentation. I was responsible for creating wireframes, research deliverables, and keynote presentations.
Provide solutions to the client
1. A white - label banking application that provides financial institutions with an easy and flexible product.
2. Intuitive transfer flows that allow for ease of use across different breakpoints.
The Taxonomy of the transfer flow
Validating our designs through research
Listening to our participants -
Throughout the project cycle, our team held over 20 user validation sessions that helped us iterate on our designs. My team helped our researchers conduct these sessions to assess the mobile application at our in-house usability testing lab. Our researchers screened multiple participants to ensure we were interviewing the target audience. Participants then answered interview questions that included how and when they checked their account summary, and transaction history (to name a few). After consolidating user data, we needed to pivot our designs to meet our user’s needs.
The design team sat behind the glass of our usability testing room to listen to feedback given by participants who went through 7 tasks on the mobile app. Out of the 7, there were 3 tasks that pertained to either setting up a transfer or editing one. I noticed that the majority of participants did not want to receive a notification every time a recurring transfer occurred, whether it was a twice a month transfer or a twice a year transfer. For those who had stricter budgeting, we added a checkbox that allowed users to get a notification after every transfer.
“It’s pretty close, I will say that with Bank of America it just depends on what version you’re using, if you get in and try to edit a recurring transfer it is challenging, with this app it’s much easier”
Clarifying assumptions & small victories
We made the assumption that a user would read the ‘help’ messages prior to making a transfer. Giving more affordance to the message block and focusing on the placement made a huge difference.
* Not all users take the time to read instructions before diving in.
When we observed users start the transfer process, we noticed that users did not read or may have overlooked the ‘help’ text that is displayed below the header. The text was placed there to explain the limitations of sending a transfer on a weekend or holiday. We saw this as an opportunity to be more explicit with how we displayed the message. We recommended that the text be formatted into a text block that would be displayed with the scheduling dropdown. If the user were to select a date during a weekend or holiday the message would be displayed immediately.
At a glance, participants quickly browse through content. Giving more affordance to key info will help alleviate confusion and manage retention.
Users want to be able to tab between ‘Scheduled Transfers’ and ‘Transfer History’ effortlessly when they’re reviewing a transfer. Some of the main reasons are to confirm the process time and date for a transfer or to edit their transfer. The most convenient way is to tap on a scheduled transfer and read the details. Users could not tell that the rows were tappable due to a lack of any visual cue given to a row. To alleviate the confusion we added a chevron icon to indicate that the row expanded to display more detail. We also saw that participants glanced over the statuses. By emphasizing the color treatment and iconography of the current status we were able to capture their attention.
[Converging] Giving the user a trusted and reliable flow
A banking application needs to prioritize reliability because, at the end of the day, users are trusting the app with their money. With a simple and intuitive design, users can navigate through the transfer flow by filling in the necessary information. At the start of the transfer flow, the user is presented with the basics - From, To, Amount and Scheduling. After iterating on multiple transfer flows and interviewing users throughout the design cycle, we determined three key tasks.
One - Time Transfer
Immediate Transfer
Recurring Transfer
Narrowing the scope
What I learned
"Designing for trust"
When it comes to banking, users are focused on the task at hand as it involves their finances. Due to this one - track mind, they often go straight to what needs to be done and overlook the details. Focusing our iterations on the details allowed us to showcase the importance of a ‘help’ message or an alert that would have been overlooked by the user.
This project has been ongoing for more than a year now. My role was to iterate on past designs that were created by the lead designer, Xavier Harrell, and use research findings to validate my design decisions.  I was able to defend my design decisions and explain to stakeholders why a change was made or why it was necessary to pivot our focus on a feature. I believe that your designs are as good as the research behind it, and luckily, we had the funding and resources to do a lot of it.


Hermes is committed to protecting you and your family's personal information when you are using Hermes services. We want our services to be safe and enjoyable environments for everyone. This Privacy Policy relates to our use of any personal information you provide to us through any of the Hermes websites.
As set out above, Hermes is committed to safeguarding your personal information. Whenever you provide such information, we are legally obliged to use your information in line with all laws concerning the protection of personal information, including the Data Protection Act 1998 (these laws are referred to collectively in this Privacy Policy as the "data protection laws").
To be able you to use the services at myHermes, you will need to have cookies enabled. If you don’t wish to use cookies, you will be able to browse the site but you will not be able to checkout. The cookies that we utilise will not harm your computer. Our cookies do not store personal information, they are primarily used to resolve errors and ensure you have an easy experience when using the site.
We have relationships with carefully selected advertising aggregators that will set cookies during your visit which may be used by us to show you marketing messages when you are visiting certain 3rd party websites. These cookies are “Google Double Click” and “Google Adsense” and you can control these cookies by visiting the Your Online Choices website.
Our cookies do not store sensitive or personal information, such as your name, address or card details. They simply help us know that you are the person that logged in. However, if you would like to restrict the level of cookies that are stored on your computer, you can use your browser to do this. All browsers and mobile phones are different, so check the ‘Help’ section to learn how to change your preferences.
Here is a list of the cookies we use, and what they are used for:
If you would like to know more about cookies, please visit aboutcookies.org, if you would like to opt out of any cookies, please visit Your Online Choices website.
This means that if you use the myHermes International website you are contracting with Parcel2go.com Limited rather with myHermes.
Parcel2go.com Limited is a company registered in England. Parcel2go.com Limited may be contacted via
https://international.myhermes.co.uk/help-centre
We share personal data and other data related to the Services, which myHermes has collected from you in relation to our Services, with Parcel2go.com Limited but, this is only used to:
We share the information above with Parcel2go.com on the basis that they will not use the data for the purposes of contacting you with marketing communications.
If you do not want us to use your personal data with Parcel2go.com Limited in the way described above, email<EMAIL_ADDRESS>We may ask you to take part in our customer experience survey which is being undertaken by our partner, Foresee on behalf of myHermes.We are carrying out this survey in order to understand our customers’ experience whilst using the myHermes website and how we can improve this.
Only a small percentage of visitors will be asked to undertake the survey. If you don’t want to take part, please close down the pop-up window invite and you can continue with your browsing.
The survey does not collect any personal data unless you wish myHermes to contact you, in which case you have the option of submitting your contact and other details. All data is submitted directly to Foresee and Foresee provides myHermes with the results of the survey. Foresee will not sell or disclose to third parties any personal data gathered from the surveys.
For full details of how Foresee process and use the survey data please see:
http://www.foreseeresults.com/privacy-policy.shtml
An IP address is a string of numbers which identifies a specific computer or internet enabled device when it connects to a network such as the internet, enabling such devices to communicate.
We would only contact your parcel recipient:
by email;
using the email address details that you may provide to us when you submit your order; and;
If you have opted for your parcel recipient to receive an email with tracking details relating to their parcel delivery. Your recipient will then be aware that Hermes has delivered their parcel. Please note that your parcel recipient may also receive an email from Hermes asking for their feedback in relation to the parcel delivery service provided.
If your parcel recipient chooses to take part in the survey, the website hosting the survey will display terms explaining how we will use the data collected to improve our services.


The EveHQ application should know it's user. There is one and only one application user per OS user. User provides authentication possibilities on start which could be skipped if you prefer so.
Most of the EVE players have no need for a few different meta-game profiles. You need more than one if you, for example, if you manage a corporation as a CEO, lead fleets as fleet commander and play as a single player sometimes. Profile is more about list of characters playing together.
Most of the players need just one.


This is me.
here is a couple of pictures of my favorite car, the peugoet onyx. doors open and closed.
the Terrafugia TF-X... a flying car! my favorite!
here is an earlier Terrafugia that you can buy if you are a multimillionare.it's wings are folding out.


|
||||||||
| PREV NEXT | FRAMES NO FRAMES |
Account
object stores all information about an ust
account.BankAccount
object stores all information about a bank
from this programs view.String
for file storage.
BankStatement.create()
with bank account id, number, page and
position.
Account
,BankAccount
and Booking
.date
.
null
, empty strings or one single space to
.
String
.
String
.
Account
object for a given internal id.
Account
object for a given account number.
BankStatement
object by all fields.
BankStatement
object by given id.
String
.
null
.
String
for date and time in the format of "19.12.1961
12:00".
null
.
null
.
String
.
GregorianCalendar
to a String
in the
format of e.g. "19.12.1961".
GregorianCalendar
to a
String
in the format of e.g. "19.12.1961 12:00".
ROUND_DOWN_TENTH_CENTS
rounds the last Cent digit to zero,
e.g. "1.17" to "1.10".
ROUND_MERCANTILE
(kaufmännisches Runden) rounds 1...5 to
this digit and 6...9 to the next one.
null
.
String
from the file storage.
String
.
int
.
String
.
String
.
|
||||||||
| PREV NEXT | FRAMES NO FRAMES |


Last Name
First Name
Address
City
State
Zip/Postal Code
Country
Bulgaria
Phone (country code, area code, number)
(+
)
-
Email
Birth date
Month
Day
Year (4 digit)
Gender
Male
Starting date
Spring 2015
Summer 2015
Comments/Questions


Wireless -- Basic This page allows you to configure basic features of the wireless LAN interface. You can enable or disable the wireless LAN interface, hide the network from active scans, set the wireless network name (also known as SSID) and restrict the channel set based on country requirements. Click "Apply/Save" to configure the basic wireless options. <% /* CONFIG_QTN_SONIQ start */ %> <% /* */ %> <% /* CONFIG_QTN_SONIQ end */ %> Radio Enable Enable Wireless Hotspot2.0 Hide Access Point Clients Isolation Disable WMM Advertise Enable Wireless Multicast Forwarding (WMF) SSID: BSSID: <%ejGetWl(wlBssid)%> Country: Country RegRev Max Clients: Enable Wireless Guest Network Guest SSID: Wireless - Guest/Virtual Access Points: Enabled SSID Hidden Isolate Clients Disable WMM Advertise Enable WMF Enable HSPOT Max Clients BSSID <%ejGetWl(wlMbssTbl)%>


Research Centre:The University of Sydney
Location:Cumberland Campus, The University of Sydney, 75 East St Lidcombe, NSW
Lead Doctor:Dr Maria Fiatarone Singh
Ethics Committee:This study has been reviewed and approved by The University of Sydney Human Research Ethics Committee
Mild Cognitive Impairment (MCI) causes a slight but noticeable decline in mental abilities, such as memory loss and impaired thinking. People with MCI have a much higher risk of going on to develop dementia.
Previous research has shown that regular exercise may help improve brain health and prevent dementia. This study is comparing the effectiveness of three different kinds of exercise on memory and thinking abilities.
This study seeks men and women aged 60+ who have noticed a slight decline in their memory and/or other mental abilities. Participants will be randomly assigned to one of three different exercise training groups: a) Strength training group, b) Aerobic training group, or c) Balance, toning & mobility training group. Participants will be invited to attend 3 supervised exercise sessions per week for 12 months at the research site in Lidcombe.


{% extends "landing.html" %} {% block card %} {{ user }}, has been successfully inscripted to ft_hitman {% endblock %}


--- layout: post title: Delete Unused Code Instead of Commenting It Out date: 2009-08-14 16:28:08.000000000 +02:00 categories: [] tags: - Best Practices status: publish type: post published: true meta: _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: Philippe first_name: Philippe last_name: Vlérick excerpt: !ruby/object:Hpricot::Doc options: {} ---
While reading The Art Of Unit Testing, I was stuck on a particular sentence:
You should then remove (not comment out) the invalid requirement and its tests.
This made me think about something that happen very often: when modifying code, we are tempted to comment out some of the code that is not used anymore.
I suppose that we do that for two reasons:
However, remember that as your source code is under version control (it is, right? If not, read this and this), so you should not worry about deleting stuff. If you accidentally delete something that you later want to get back, use undo or have a look at the previous version of the file. If some code is not used anymore, just get rid of it.
Comments should be there to help the next developer to understand the code. If you comment out a line of code but leave it because it makes the code more clear, that’s fine. Commenting a whole method that is not used anymore doesn’t help to understand the code, so it should be deleted.


Advertising
$
Content
Hours/
month
month
Website optimization
Hours/
month
month
Email marketing
Hours/
month
month
Social media
Hours/
month
month
Other
Hours/
month
month
Calculations based on:
Percentage saved with Oribi
%
Costs per hour
$


Kindness to he horrible reserved ye. Effect twitter indeed beyond for not had county. The use him without greatly can private. Increasing it unpleasant no of contrasted no continuing. Nothing colonel my no removed in weather. It dissimilar in up devonshire inhabiting.
His exquisite sincerity education zhihu shameless ten earnestly breakfast add. So we me unknown as improve hastily sitting forming. Especially favourable compliment but thoroughly unreserved saw she themselves. Sufficient impossible tmall him may ten insensible put continuing. Oppose exeter income simple few joy cousin but twenty. Scale began quiet up short wrong in in. Sportsmen shy forfeited engrossed may can.
Can curiosity may end shameless vuejs explained. True high on said mr on come. An do mr design at little myself wholly entire though. Attended of on stronger or mr pleasure. Rich four like real yet west get. Felicity in dwelling to drawings. His pleasure new steepest for reserved formerly disposed jennings.
Carried nothing on am warrant towards. douban Polite in of in oh needed itself silent course. Assistance travelling so especially do prosperous appearance mr no celebrated. Wanted easily in my called formed suffer. Songs hoped Apple sense as taken ye mirth at. Believe fat how six drawing pursuit minutes far. Same do seen head am part it dear open to. Whatever may scarcely judgment had.
Oh acceptance apartments up sympathize astonished delightful. Waiting him new lasting towards. Continuing melancholy especially so to. Me unpleasing impossible in attachment announcing so astonished. What ask leaf may nor upon door. Tended remain my do stairs. Oh smiling amiable am so visited cordial in offices hearted.
An country demesne message it. Bachelor domestic extended doubtful as concerns at. Morning prudent removal an letters by. On could my in order never it. Or excited certain sixteen it to parties colonel. Depending conveying direction has led immediate. Law gate her well bed life feet seen rent. On nature or no except it sussex.
Shewing met parties gravity husband sex pleased. On to no kind do next feel held walk.  Sentiments motionless or principles preference excellence am. Literature surrounded insensible at indulgence or to admiration remarkably. Matter future lovers desire marked boy use. Chamber reached do he nothing be.
Alteration literature to or an sympathize mr imprudence. Of is ferrars subject as enjoyed or tedious cottage. Procuring as in resembled by in agreeable. Next long no gave mr eyes. Admiration advantages no he celebrated so pianoforte unreserved. Not its herself forming charmed amiable. Him why feebly expect future now.
Necessary ye contented newspaper zealously breakfast he prevailed. Melancholy middletons yet understood decisively boy law she. Answer him easily are its barton little.  Dashwood horrible he strictly on as. Home fine in so am good body this hope.
Sex and neglected principle ask rapturous consulted. Object remark lively all did feebly excuse our wooded. Old her object chatty regard vulgar missed. Speaking throwing breeding betrayed children my to.  Sufficient unpleasing an insensible motionless if introduced ye. Now give nor both come near many late.


| Attributes |
| Name | Required | Request-time | Type | Description |
| accesskey | false | false | java.lang.String | Access key that, when pressed, transfers focus to this element. |
| binding | false | false | java.lang.String | The value binding expression linking this component to a property in a backing bean |
| charset | false | false | java.lang.String | The character encoding of the resource designated by this hyperlink. |
| converter | false | false | java.lang.String | Converter instance registered with this component. |
| coords | false | false | java.lang.String | The position and shape of the hot spot on the screen (for use in client-side image maps). |
| dir | false | false | java.lang.String | Direction indication for text that does not inherit directionality. Valid values are "LTR" (left-to-right) and "RTL" (right-to-left). |
| disabled | false | false | java.lang.String | Flag indicating that this element must never receive focus or be included in a subsequent submit. |
| effect | false | false | java.lang.String | The Javascript Effect |
| enabledOnUserRole | false | false | java.lang.String | If user is in given role, this component will be rendered normally. If not, the component will be in disabled state. |
| fragment | false | false | java.lang.String | The identifier of the page fragment which should be brought into focus when the target page is rendered. The value of this attribute is appended to the end of target URL following a hash (#) mark. This notation is part of the standard URL syntax. |
| hreflang | false | false | java.lang.String | The language code of the resource designated by this hyperlink. |
| id | false | false | java.lang.String | The component identifier for this component. This value must be unique within the closest parent component that is a naming container. |
| lang | false | false | java.lang.String | Code describing the language used in the generated markup for this component. |
| onblur | false | false | java.lang.String | Javascript code executed when this element loses focus. |
| onclick | false | false | java.lang.String | No Description |
| onclickeffect | false | false | java.lang.String | Effect invoked on onclick event |
| ondblclick | false | false | java.lang.String | No Description |
| ondblclickeffect | false | false | java.lang.String | Effect invoked on ondblclick event |
| onfocus | false | false | java.lang.String | Javascript code executed when this element receives focus. |
| onkeydown | false | false | java.lang.String | No Description |
| onkeydowneffect | false | false | java.lang.String | Effect invoked on onkeydown event |
| onkeypress | false | false | java.lang.String | No Description |
| onkeypresseffect | false | false | java.lang.String | Effect invoked on onkeypress event |
| onkeyup | false | false | java.lang.String | No Description |
| onkeyupeffect | false | false | java.lang.String | Effect invoked on onkeyup event |
| onmousedown | false | false | java.lang.String | No Description |
| onmousedowneffect | false | false | java.lang.String | Effect invoked on onmousedown event |
| onmousemove | false | false | java.lang.String | No Description |
| onmousemoveeffect | false | false | java.lang.String | Effect invoked on onmousemove event |
| onmouseout | false | false | java.lang.String | No Description |
| onmouseouteffect | false | false | java.lang.String | Effect invoked on onmouse event |
| onmouseover | false | false | java.lang.String | No Description |
| onmouseovereffect | false | false | java.lang.String | Effect invoked on onmouseover event |
| onmouseup | false | false | java.lang.String | No Description |
| onmouseupeffect | false | false | java.lang.String | Effect invoked on onmouseup event |
| rel | false | false | java.lang.String | The relationship from the current document to the anchor specified by this hyperlink. The value of this attribute is a space-separated list of link types. |
| rendered | false | false | java.lang.String | Flag indicating whether or not this component should be rendered (during Render Response Phase), or processed on any subsequent form submit. |
| renderedOnUserRole | false | false | java.lang.String | If user is in given role, this component will be rendered normally. If not, nothing is rendered and the body of this tag will be skipped. |
| rev | false | false | java.lang.String | A reverse link from the anchor specified by this hyperlink to the current document. The value of this attribute is a space-separated list of link types. |
| shape | false | false | java.lang.String | The shape of the hot spot on the screen (for use in client-side image maps). Valid values are: default (entire region); rect (rectangular region); circle (circular region); and poly (polygonal region). |
| style | false | false | java.lang.String | CSS style(s) to be applied when this component is rendered. |
| styleClass | false | false | java.lang.String | Space-separated list of CSS style class(es) to be applied when this element is rendered. This value is passed through as the "class" attribute on generated markup. The base name for all style classes. Default value is iceOutLnk if enabled and iceOutLnk-dis if disabled. |
| tabindex | false | false | java.lang.String | Position of this element in the tabbing order for the current document. This value must be an integer between 0 and 32767. |
| target | false | false | java.lang.String | Name of a frame where the resource retrieved via this hyperlink is to be displayed. |
| title | false | false | java.lang.String | Advisory title information about markup elements generated for this component. |
| type | false | false | java.lang.String | The content type of the resource designated by this hyperlink. |
| value | false | false | java.lang.String | The current value of this component. |
| visible | false | false | java.lang.String | Set the visibility of this component. When false CSS style is set to display:none |


Here is an AI for solving minesweeper that I made based on what i have learnt in my CS2910 AI module about symbolic AI. Press the step button to move forward one step in the cycle, this is resolving one certain range and marking the relevent squares or making a guess if it has too.
the AI has no inside knowledge of the actual arrangments of the mines it knows as much as you can see, that said it will retry the first move untill it succeeds otherwise there is about 11% chance of it failing of the first go
you can also make moved manually if you would just like to play the game or see how the AI will react to different choices
This JS implemnntation was based on a FOL prolog psuedocode where for all the unknown cells adjacent to a known square are grouped together into a range. if a range is full or empty we can be certain of its cells value. expanding this knowledge base is done by removing known elements from from ranges to create smaller ones and splitting a range in two where one is a subset of another. I havent proven this to be correct but intuativly it seems right. occasionally there isn't enough data to deduce the correct value and at this point the AI will take a guess. in a future version this guess can be wieghted towards the cells that are most probable but at the moment it is not.


Hey, my name is Rocky, i work for PatientKeeper and i love to write code
Here are the technologies i enjoy writing day-to-day
Thanks for visiting! Get in contact with Rocky via linkedIn or email


Please wait a few moments, opening connection to the controller...
Select benchmark file
or
Reconnecting...


The Cinque Terre (five lands) is a portion of the Italian Riviera. The coastline with five villages: Monterosso, Vernazza, Corniglia, Manarola, and Riomaggioreis a UNESCO World Heritage Site.
Monterosso al Mare is located at the center of a small natural gulf, protected by a small artificial reef, in the Riviera of La Spezia. It is the northernmost village of the Cinque Terre.
Vernazza is another of the five towns in the region. Vernazza is the fourth town heading north. It has no car traffic, and is one of the truest "fishing villages" on the Italian Riviera. "fishing villages" on the Italian Riviera.
Europe Italy


Through this effect we can move the player to the selected position.
Create a move player effect:
In the first place we are allowed to select one scene of the chapter. Like in other effects, the selection of the scene has the only aim of previewing the scene, because the effect will be triggered in the current scene. The player will move with independence of the scene selected in this panel, depending only on the scene of the game where the effect is triggered. Once the scene is selected, we choose the position where the player will move, either fulfilling X and Y coordinates or just by clicking in the position selected in the scene.


Whether your are a beginning yogi, a spin class enthusiast, or an avid boxer, we'll help you find a gym community in your area.
Outdoor Fitness
Who says you need a gym to get fit? Find classes hosted in nature’s playground from trail running to paddle boarding.
Home Fitness
Fitting workouts into a busy schedule can be hard. We make it easy to find live classes online.
Fitness anywhere and everywhere
We believe that everyone should have access to great fitness classes. Our mission is to make it as easy as possible for fitness instructors to host a class and fitness enthusiasts to find classes in their area.


Coffee preparation is the process of turning coffee beans into a beverage. While the particular steps vary with the type of coffee and with the raw materials, the process includes four basic steps; raw coffee beans must be roasted, the roasted coffee beans must then be ground, the ground coffee must then be mixed with hot water for a certain time (brewed), and finally the liquid coffee must be separated from the used grounds.
Coffee is usually brewed immediately before drinking. In most areas, coffee may be purchased unprocessed, or already roasted, or already roasted and ground. Coffee is often vacuum packed to prevent oxidation and lengthen its shelf life.
To learn more about coffee, just browse our informative site, or you can visit http://en.wikipedia.org/wiki/Coffee_preparation wikipedia for even more.


Spot a Doc
Feeling under the weather? Find a doctor.
Stop the pain. Search below.
Search By Medical Specialty
Pick a medical specialty:
Search by Specialty
Search By Symptom
Enter your medical symptom:
Search by Symptom


Fill up the form to have more fun!
All fields are mendatory
Name*
:
Gender*
:
Male
Female
Mobile Number*
:
Email ID*
:
Password*
:
Confirm Password*
:


Techopedia
HOME
NEWS
EVENTS
GADGET INFO
ABOUT
CONTACT
Want to Connect?
Email me at:
<EMAIL_ADDRESS>Add
Build the team
Transform the world


In harmony with the Buddha’s teachings, Thaye Dorje, His Holiness the 17th Gyalwa Karmapa, has a vision of peace. Peace in the world. Peace in the minds of people. Karmapa has a unique vision of what peace really means – a state of complete awareness.
How to achieve such peace? Karmapa teaches that to achieve peace – be it personal peace, or world peace – we must first cultivate our Inner Wealth.


The Madison Python meetup group is hosting a social gathering at Great Dane Pub at Hilldale. We won't have a speaker or slides. Just friendly conversation. Whether you're an experienced software developer, someone interested to learn about the field, or just looking to meet new people, please join us!
Great Dane Hilldale has a full menu of has a full menu of pub fare, including beverages (both with & without alcohol), burgers, sandwiches and sides. We'll gather in the mezzanine above the billiards hall at 6:30pm, so if you're looking for us, be sure to check upstairs!
When: Thursday, September 14, 2023 at 6:30pm CDT
Where: 357 Price Pl -- Find us in the mezzanine area above the billiards hall
How: Parking is free at Hilldale. Metro transit offers nearby bus stops for routes A, E, F, and R


This page scenario contains:
cljs-devtools
dirac runtime properly initialized
core-async code with async stack traces
:async
:async-loop


Home
Add Adoption Application
Email
First Name
Last Name
Co-Applicant's First Name
Co-Applicant's Last Name
Date
State
City
Street
Cell Phone
ZipCode


 I'd get kicked out on the spot.

However hard the threw himself onto his right, he always rolled back to where he was.
Gregor then turned to look out the window at the dull weather.
I ought to just try that with my boss. I'd get kicked out on the spot.
I ought to just try that with my boss. I'd get kicked out on the spot.
I ought to just try that with my boss. I'd get kicked out on the spot.
I ought to just try that with my boss. I'd get kicked out on the spot.


Tove Jansson (1914-2001) was a Finnish-Swedish writer and artist, who achieved worldwide fame as the creator of the stories about the Moomins
The Moomin family and their friends live an adventurous life in the idyllic and peaceful Moominvalley.
"By my tail! I’ll never save anybody in the dark again!?"
Moominpappa, from the book The Exploits of Moominpappa
"All things are so very uncertain, and that's exactly what makes me feel reassured"
Too-ticky,Moominland Midwinter
"That’s where we’re going to live and lead a wonderful life, full of troubles…"
Moominmamma, from the book Moominpappa at Sea
"It looks rather ordinary,” said the Snork. “Unless you consider that a top hat is always somewhat extraordinary, of course.
Snork
"But I’m sure you can do the tango, one short step to the side and two long steps backwards."
Snorkmaiden, from the book Comet in Moominland
"Not one adventure in a whole day. Just grey banks and grey banks and grey banks, and not even an adventure."
Sniff, from the book Comet in Moominland
"Well, that really is the last word in madness."
Little My, from the book Moominpappa at Sea


This is ION Racing's local web interface for the active directory for users and computers.
Here team members will be able to register for user accounts and look up information about our workstations/desktop-computers.
If any question or issue or general iqueries should arise you can go here to contact the IT-department.


Message in a Bottle (1999, PG-13)
Directed by Luis Mandoki
Written by Gerald Di Pego
Based on the novel by Nicolas Sparks
Starring Kevin Costner and Robin Wright Penn
Most days I would love to be in the shoes of people in Hollywood. Much as participating in the play is every secret playwright's dream, and painting the picture is every secret photographer's dream, being in THE BIZ is the secret dream of every movie critic I know. We apply to film school. We try to make movies. Some of us even write them, such as Roger Ebert, author of the movie Beyond the Valley of the Dolls.
But, one person to another, I wouldn't be in Robin Wright Penn's shoes if you paid me a million dollars.
Robin Wright Penn, you see, is married to Sean Penn, who snubs the Hollywood mainstream, and, if there are two words beyond "It Sucked" that describe Message In a Bottle, "achingly mainstream" would have to be my choice. Predictable to a T, bitingly sweet, it just wasn't a movie I could connect with. It is not the chick flick in the aspect that it is chic to go to, as She's all That would be, but instead the chick flick, as in the perfect example of a reason not to make movies like that.
Based on the novel by Nicholas Sparks, the screenplay comes off as an uninspired, unintelligent event. The attempts that it makes to insert professionalism and lyricism into the script come off as downright stupid as the attempts often made in techno-thrillers to take on serious subjects, such as medical ethics (should the doctor play God?) or religion itself.
The basic plot of the terribly contrived story is that Teresa (Robin Wright Penn) discovers a message in a bottle while jogging in Virginia, consequently, she publishes this in the Chicago Sun Times and begins her search for the writer, a woman on a mission and in love (has Hollywood ever stopped insulting you, ladies?). What she finds is Kevin Costner.

Paul Newman, the only good part of last summer's Twilight, disappoints yet again as the father of Kevin Costner in the movie I love to hate.
Now, I'm sure a lot of people liked this tale because it filled the likeable criterion: sweet, moderately funny, character-driven with a storyline so formula that it could have very well been a movie done without a script. But, as for me, and any other movie buff, you will dread this film. This is a symptom of the greater disease of the terribly cliche films that Hollywood turns out.
What else to bash? Oh, yeah, the direction. The direction consists of shots stolen from different movies: sex during a thunderstorm, a boat being launched, grainy film met to represent the past, a complete absence of sound during emotional pseudo-tension, and let's not forget the lightning flashing as Kevin Costner discovers the secret of Robin Wright Penn.
Personally, I think it's time to send a message to Hollywood.  And worse for the Y-chromosome, don't make any that portray all men as Kevin Costners, make them jerks, and still have the main character fall in love with them.
I plead you, producers, hack writers, directors, help me out. Make a smart character for a change, please.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


We offer a distinguished student exchange program at IIT Delhi, and it can be a pivotal part of your undergraduate life. Student exchange is an edifying experience for us as well, given the distinctive inputs visiting students bring from their current universities, and we are always delighted to include people from diverse backgrounds in our academic community.
To efficiently share resources and remain at the forefront on the scientific and technological developments, IITD has MOUs (Memorandum of Understanding) signed with major national and international institutions, which facilitate engagement in various areas including student and faculty exchange, joint research and fellowships etc. UG, PG, doctoral and post-doctoral levels.
The Undergraduate Student Exchange Program enables currently enrolled students interested in taking classes at IITD that are not offered at their home university. Students can customize their course of study with options for part-time or full-time enrolment and the ability to stay for one or two academic terms. The student also has the flexibility to choose courses outside of his/her department, helping him get a wider exposure.
IIT Delhi provides you with the advantage of staying in the heart of the capital city of India, which comes with a host of benefits, including witnessing major national events like Republic Day, Independence Day among others, and the convenience of visiting and seeking help from your country’s embassy in Delhi. In addition to enrolment in courses at the college, you can explore many of our monuments, laboratories, theatres, and extracurricular activities, all in the rich cultural and historical setting of New Delhi.


A Journey of Shells
Take Control of Your Command Line Environment
Presented by Dan Stone / @dafstone
In the Beginning there was sh
- 1971 - First Iteration of sh was the "Thompson Shell". This was designed to separate the operating system kernel from userspace
- 1973 - Douglas McIlroy Introduced the first concept of basic piping, including "<", ">" and later "|" (after some experimentation)
- 1977 - The Bourne shell was born.
- 1978 - I was born!
Wow, that all happened before I was Born!
(A little about my history with *NIX)
I was raised in NYC
ISPs: Mindvox, Panix, Interport
First Exposure to Linux... 1996 - MkLinux on the PowerPC
Since Then:
Built over 1000 Servers (okay, that's an estimate)
Worked at different stages of my life with SuSE, RHEL, CentOS, Ubuntu, and Arch Linux
Done provisioning with Puppet, Chef, and Ansible
Consider myself versed in Nginx, Apache, Bind, Postfix, and other "Core" applications. (Even IIS... a little)
So... why am I telling you this??
Why am I telling you this?
With 20 Years of *NIX Experience... I never thought too much about the actual environment I was working in.
I started to ask myself... am I the User or the Admin?
1977 - The Bourne Shell.
( a.k.a /bin/sh
)
- Allows shell scripts to be used as filters.
- Filter - processes a stream, to produce another stream.
- 1977 - The Bourne shell was born.
- Demo!
A very, very brief history of UNIX Shells
- 1971 - First Iteration of sh was the "Thompson Shell". This was designed to separate the operating system kernel from userspace
- 1973 - Douglas McIlroy Introduced the first concept of basic piping, including "<", ">" and later "|" (after some experimentation)
- 1977 - The Bourne shell was born.
- 1978 - C Shell: BSD, "C"-link scripting, command history, aliasing.
- 1981 - tcsh: Proto-Autocompletion, advanced command history. Trivia: First default shell of OS X
- 1983 - Korn Shell: vi and emacs editing modes (later readline)
- 1989 - Bourne Again Shell (bash): First legitimately "Free" shell. Standard for linux, the shell most of us use today.
Let's talk about Bash
GNU Readline
- Handles command history.
- Provides bash with line editing: emacs and vi-edit modes.
- Configured in
.bashrc
or .inputrc
- Can also provide these tools to cli programs that are not bash
Let's talk about Bash
Your Environment and it's Variables
- More or less just like variables in any programming environment.
- Can be saved through declaration:
export FOO=bar
- A set of standard varibles for common needs: -
TERM
for your terminal type- EDITOR
for your editor- PATH
to indicate where to find programs you can run- PS1
for your terminal prompt
- However - remember anything can be a variable, so you can use enviroment variables for anything.
A very, very brief history of UNIX Shells (again)
- 1971 - First Iteration of sh was the "Thompson Shell". This was designed to separate the operating system kernel from userspace
- 1973 - Douglas McIlroy Introduced the first concept of basic piping, including "<", ">" and later "|" (after some experimentation)
- 1977 - The Bourne shell was born.
- 1978 - C Shell: BSD, "C"-link scripting, command history, aliasing.
- 1981 - tcsh: Proto-Autocompletion, advanced command history.
- 1983 - Korn Shell: vi and emacs editing modes (later readline)
- 1989 - Bourne Again Shell (bash): First legitimately "Free" shell. Standard for linux, the shell most of us use today.
- 1990 - The Z Shell (zsh): Programmable completion, spelling correction, themeable prompts. Made of pure awesome.
Let's talk about Zsh
The ultimate shell to rule the whole planet.
- Improved Tab Completion
- Improved Globbing
- Improved Array Handling
- Fully Customizable
- No more readline - now we have ZLE
Reccomended Resources
- The Arch Wiki - best linux documentation ever.
- Oh My Zsh! - Zsh Framework, dive right in.
- Github Dotfiles - Trove of other peoples cool dotfiles.
- *NIX Man Pages - delivering awesome learning since 1971


Subscribe
Free Membership (15 Days trial)
- 15 Days trial with all paid membership features.
- Get access to more than 15,000 questions.
- Deck
- Deck 2014
- Engine
- Engine 2014
Paid Membership ($14.99 a month)
- All free membership benefits
- Get access to more than 30,000+ questions.
- Generate custom tests and get the results.
- Save favorites question.
- Backlist unwanted questions.
- View question answer history.
- Search all the questions.


{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} ALPHA This is a new service – your feedback will help us to improve it. Back to site codes Your E-PRTR code(s) Select all codes that apply to your site: 4. (a) Chemical installations for the production on an industrial scale of basic organic chemicals, such as: (i) Simple hydrocarbons, (ii) Oxygen-containing hydrocarbons, (iii) Sulphurous hydrocarbons, (iv) Nitrogenous hydrocarbons, (v) Phosphorus-containing hydrocarbons, (vi) Halogenic hydrocarbons, (vii) Organometallic compounds, (viii) Basic plastic materials, (ix) Synthetic rubbers, (x) Dyes and pigments, (xi) Surface-active agents and surfactants 4. (b) Chemical installations for the production on an industrial scale of basic inorganic chemicals, such as: (i) Gases, (ii) Acids, (iii) Bases, (iv) salts, (v) Non-metals, metal oxides or other inorganic compounds 4. (c) Chemical installations for the production on an industrial scale of phosphorous-, nitrogen- or potassium-based fertilisers 4. (d) Chemical installations for the production on an industrial scale of basic plant health products and of biocides 4. (e) Installations using a chemical or biological process for the production on an industrial scale of basic pharmaceutical products 4. (f) Installations for the production on an industrial scale of explosives and pyrotechnic products Add another E-PRTR code {% endblock %}
ALPHA This is a new service – your feedback will help us to improve it.
Select all codes that apply to your site:


Almost half of UK motorists believe local road conditions are worse than last year
2019 RAC Report on Motoring finds 49 per cent of motorists think conditions of local roads have worsened in the last 12 months
Local roads are now in a worse condition than they were 12 months ago, according to almost half of UK motorists.
Of 1,753 of drivers surveyed by motoring services provider RAC for its 2019 Report on Motoring, 49 per cent say local roads — any that are not motorways or major A-road — have deteriorated since last year.
Just 11 per cent expressed the view that their surrounding roads had improved in condition, while 40 per cent said there had been no real change in the past 12 months.
Of those who said roads had deteriorated, 95 per cent believe an increase in potholes is the main factor. Litter was also blamed with 23 per cent of respondents citing it as an issue, while 22 per cent feel poor foliage management is also to blame.
Drivers in rural areas are more likely than the UK average to believe local roads have worsened in condition, with 58 per cent holding that view. 25 per cent of London-based motorists say roads have improved, however.
Nicholas Lyes, RAC head of roads policy, said: “Despite data from our patrols revealing fewer of the breakdowns they have attended this year have been related to pothole damage, it seems that drivers still feel that road surfaces are not as good as they should be.
“Those living in rural areas definitely feel more hard done by, perhaps because they rely on their cars more than those in towns and cities so they are more inclined to notice defects that hinder their journeys.”


Use Newton's method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem.
| Version: | 1.1-8 |
| Depends: | R (≥ 3.2.2), methods |
| Imports: | Rcpp (≥ 0.12.1), Matrix, scalreg |
| LinkingTo: | Rcpp |
| Published: | 2018-04-28 |
| Author: | Khalid B. Kunji [aut, cre], Cho-Jui Hsieh [ctb], Matyas A. Sustik [ctb], Inderjit S. Dhillon [ctb], Pradeep Ravikumar [ctb], Tuo Zhao [ctb], Xingguo Li [ctb], Han Liu [ctb], Kathryn Roeder [ctb], John Lafferty [ctb], Larry Wasserman [ctb], George Karypis [ctb], Melissa O'Neill [ctb], Richard Henderson [ctb] |
| Maintainer: | Khalid B. Kunji <kkunji at hbku.edu.qa> |
| License: | GPL (≥ 3) | file LICENSE |
| Copyright: | The included METIS library is Copyright 1997, Regents of the
University of Minnesota BigQuic copyright details |
| URL: | https://www.r-project.org, https://www.cs.utexas.edu/users/sustik/QUIC http://glaros.dtc.umn.edu/gkhome/views/metis http://www.pcg-random.org/download.html https://gcc.gnu.org/projects/gomp/ |
| NeedsCompilation: | yes |
| CRAN checks: | BigQuic results |
| Reference manual: | BigQuic.pdf |
| Package source: | BigQuic_1.1-8.tar.gz |
| Windows binaries: | r-devel: BigQuic_1.1-8.zip, r-release: BigQuic_1.1-8.zip, r-oldrel: BigQuic_1.1-8.zip |
| OS X binaries: | r-release: BigQuic_1.1-8.tgz, r-oldrel: BigQuic_1.1-8.tgz |
| Old sources: | BigQuic archive |
| Reverse imports: | bastah |
Please use the canonical form https://CRAN.R-project.org/package=BigQuic to link to this page.


The ACES Seller Admin console allows you to manage and track ACES Services provided by your account.
For creating and running ACES Service nodes, review the node setup guides in ACES Guides.
The ACES Seller Admin console allows you to manage and track ACES Services provided by your account.
For creating and running ACES Service nodes, review the node setup guides in ACES Guides.


---
layout: default
title: Shuffle Adding and Removing Elements Demo
description: This demo of shuffle shows how to add and removing items.
image: /demos/adding-removing.jpg
extraJS: [ "demos/adding-removing.js" ]
prism: true
photoCredit: false
---
When you add elements to the Shuffle container, notify the Shuffle instance with the When you want to remove item(s), use ActionsAdding and Removing Items
add
method. You must add the elements to the DOM yourself. This lets you control the default (DOM) sort order.remove
. This will fade out the item(s) then remove it from the DOM.
Wherever you add the element in the DOM is where it will show up in the grid (assuming you’re using the default sort-by-dom-order). With this in mind, you can append, prepend, or insert elements wherever you need to get them to show up in the right order.
Demo.prototype.setupEvents = function () {
document.querySelector('#append').addEventListener('click', this.onAppendBoxes.bind(this));
};
/**
* Create some DOM elements, append them to the shuffle container, then notify
* shuffle about the new items. You could also insert the HTML as a string.
*/
Demo.prototype.onAppendBoxes = function () {
var elements = this._getArrayOfElementsToAdd();
elements.forEach(function (element) {
this.element.appendChild(element);
}, this);
// Tell shuffle elements have been appended.
// It expects an array of elements as the parameter.
this.shuffle.add(elements);
};
Shuffle will animate the element away and then remove it from the DOM once it's finished. It will then emit the Shuffle.EventType.REMOVED
event with the array of elements in data.collection
.
this.shuffle.remove([element1, element2]);


qppsim.scheduler.SchedulerRoundRobin module¶
Documentation¶
Module with a Round-Robin Scheduler. It follows the logic of the NistRR scheduler in ns-3
-
class
qppsim.scheduler.SchedulerRoundRobin.
SchedulerRoundRobin
(num_rbs)[source]¶ Bases:
qppsim.scheduler.SchedulerBase.SchedulerBase
Class with an implementation of a Round-Robin scheduler.
-
schedule
()[source]¶ Method that holds the logic of the scheduler and provides the allocation for a TTI. The steps followed are:
- Get the current time from the DES
- Get the list of active bearers
- Add an event for the next scheduling event, at current_time + 1
- If needed, check the QoS of the bearers
- Process the retransmissions for the current TTI calling the parent’s
- ‘process_retransmissions’
- Locate the last UE and BID allocated. If they cannot be located,
- roll back to the first bearer in the UE, or first UE in the list.
- Allocate RBs one by one to the bearers that have data pending to
- transmit, in a Round-Robin fashion, until we run out of RBs or there are no more bearers with data to transmit.
- Allocate the remaining RBs according to the scheduler logic
- Process the allocation by calling the parent’s ‘process_allocations’
-


-Group Details-Group name-Group Members-Colivers {{user?.login.username}}AdminRemove-Social Sharing-Referal CodeIf Your referal link is:- {{ref_link}}-Join Group-Group CodeSend below group code to join the group on join group page Group code:- {{teamId}}


No rebuilding excuses for Rennie
Newly appointed Wallabies coach Dave Rennie knows he will be expected to deliver instant success to win over sceptical fans.
He says will not reach for the "rebuilding" excuse if results do not go as planned.
The New Zealander was handed the reins on a three-and-a-half year deal on Wednesday and will take over a Wallabies team in transition after their quarterfinal exit from the Rugby World Cup Japan.
"The Australian public expects the results and they'll probably expect it immediately," Rennie, who starts the job next July, told local media on Thursday.
"I don't want to give the players any excuses that we're building and all that sort of stuff so the expectation is that we're going to work really hard, we're going out to win footy.
"I just feel if you use excuses, you're giving players an out to maybe under-perform, so I guess like the Aussie public, we'll all be thinking the same thing, we'll be desperate to perform well and keep building on that."
Australia's next internationals come in a two-match series against Ireland in July.
Rennie, who will finish up his coaching contract with Glasgow Warriors in June, will have little time to get acquainted with the Australian set-up but will have Director of Rugby Scott Johnson on the ground sizing up player prospects.
Rennie said he would look to focus more on domestic players in Super Rugby in building his Wallabies squad rather than look at others overseas.
“It's a big question isn't it, because the advantage of having guys playing Super Rugby means that we've got access to them, we've got influence," he said.
"And obviously picking players from overseas, maybe it works alright in a World Cup year but it's difficult to have influence.
"Best case scenario is that we're going to try and develop guys within Australia and promote them and try and build experience that way."


@main("index"){
Fixtures
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
View All Fixtures
Live & Upcoming
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
View All Live
Results
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
View All Fixtures
Stats
This is for the Stats |
This is for the Stats |
This is for the Stats |
This is for the Stats |
This is for the Stats |
This is for the Stats |
This is for the Stats |
This is for the Stats |
View All Fixtures
Article
Main Article |
Main Article |
Main Article |
Main Article |
Main Article |
Main Article |
Main Article |
Main Article |
View All Live
Table
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
im1 | HomeTeam v AwayTeam | im2 |
View All Fixtures
}


GISHagotchi
Donkey is {{ donkeyStatus }}
Donkey is currently {{ donkey.action.name }}
Feed
Pet
GAME OVER
Your donkey has died.

The donkey has metamorphised into a beautiful assbutt!
Play again
{{ label }}:
{{ value }}
/{{ max }}


Resets the shape of a SparseTensor
with indices and values unchanged.
tf.compat.v1.sparse.reset_shape
tf.compat.v1.sparse_reset_shape
tf.compat.v2.sparse.reset_shape
tf.sparse.reset_shape( sp_input, new_shape=None )
If new_shape
is None, returns a copy of sp_input
with its shape reset
to the tight bounding box of sp_input
. This will be a shape consisting of
all zeros if sp_input has no values.
If new_shape
is provided, then it must be larger or equal in all dimensions
compared to the shape of sp_input
. When this condition is met, the returned
SparseTensor will have its shape reset to new_shape
and its indices and
values unchanged from that of sp_input.
Consider a sp_input
with shape [2, 3, 5]:
It is an error to set new_shape
as [3, 7] since this represents a
rank-2 tensor while sp_input
is rank-3. This is either a ValueError
during graph construction (if both shapes are known) or an OpError during
run time.
Setting new_shape
as [2, 3, 6] will be fine as this shape is larger or
equal in every dimension compared to the original shape [2, 3, 5].
On the other hand, setting new_shape as [2, 3, 4] is also an error: The
third dimension is smaller than the original shape [2, 3, 5] (and an
InvalidArgumentError
will be raised).
If new_shape
is None, the returned SparseTensor will have a shape
[2, 3, 4], which is the tight bounding box of sp_input
.
sp_input
: The input SparseTensor
.new_shape
: None or a vector representing the new shape for the returned
SparseTensor
.A SparseTensor
indices and values unchanged from input_sp
. Its shape is
new_shape
if that is set. Otherwise it is the tight bounding box of
input_sp
TypeError
: If sp_input
is not a SparseTensor
.ValueError
: If new_shape
represents a tensor with a different rank from
that of sp_input
(if shapes are known when graph is constructed).ValueError
: If new_shape
is determined during graph build to have
dimension sizes that are too small.OpError
: - If new_shape
has dimension sizes that are too small.


The third roll, for Education, is generated by rolling 3d6+3:
- EDU: Education is the measure of the combined formal and
experiential knowledge an investigator possesses. It also indicates
the time taken to learn that material. EDU measures the
quantity of information, not the ability to use that information
intelligently. This characteristic is used to determine how many
skill points an investigator begins with, the Know roll,
and the starting percentage in the Own Language skill.
Only a single dice roll is available here (in the green circle). Click
it, and then click the gray circle next to EDU. If you're unhappy
with the roll, click the "Reroll" button below. When you're satisfied, click
the "Next" button.


Are your workers prepared for an emergency?
Let every worker on your jobsite carry a reminder of where to turn for help in an emergency.
In the event of injury/incident:
1. If injury is life threatening, dial 911, alert safety team (see back for contact info)
2. If the injury is serious, non-life threatening, proceed to Emergency Room (See back for details), alert safety team.
3. If the injury is non-serious but requires medical attention, proceed to Urgent Care (see back for address), alert safety team


Feature: Hands-On With Tobu Tobu Girl Deluxe, A Challenging New Game Boy Title With A Cute Look
You go, girl
by Damien McFerranMaking a new Game Boy game in the modern era takes a lot of guts, but Tangram Games has done just that with Tobu Tobu Girl Deluxe. Successfully crowdfunded to the tune of €40,972, this is a simplistic yet challenging action title which tasks you with getting to the top of the screen using a wide range of skills while avoiding hazards along the way.
Enemies can be used as platforms to bounce your character upwards, but this is often harder than it sounds as some foes move from side-to-side, while hitting one from underneath results in instant death. Thankfully, you have two powers to aid your quest; you can dash in eight directions as well as flap your arms to boost upwards. Both of these skills have limits; the dash can be used three times in succession but is only replenished when you 'land' on something.
Like we said, the premise is simple, but Tobu Tobu Girl Deluxe is tough. Even getting to the end of the first level requires considerable reserves of patience, as it's very easy to mess up your run by accidentally clipping an enemy or misjudging a jump (if you fall to the edge of the screen, you're toast). Oh, and you're up against a pretty savage time limit, too – so thank goodness you have unlimited lives.
Despite the stern challenge, Tobu Tobu Girl Deluxe is incredibly addictive. It nails the 'pick up and play' appeal that so many Game Boy games got right back in the day, and the neat visuals (the game sports an enhanced Game Boy Color palette as well as working on original monochrome system) and excellent soundtrack (the latter provided by potato-tan) keep you invested in the action. Battery-based save data means your progress and scores and high scores are retained after shutdown, encouraging repeat play.
Tobu Tobu Girl Deluxe comes in western and Japanese-style packaging, thanks to 1st Press. We were lucky enough to be sent both, and the production quality is excellent throughout. You can, if you wish, download the ROM for free and play it using either an emulator or a flash cart on the original Game Boy hardware, but having a proper, physical copy of the game feels suitably authentic.
Let us know if you've played Tobu Tobu Girl Deluxe – and what you make of it – by posting a comment below.


ktor-network
/
io.ktor.network.sockets
/
DatagramReadChannel
/
receive
receive
open
suspend
fun
receive
(
)
:
Datagram


Data Handling, Batching, and Hogwild¶
Authors: Alexander Holden Miller, Kurt Shuster
Note
If you are unfamiliar with the basics of displaying data or calling train or evaluate on a model, please first see the getting started section. If you are interested in creating a task, please see that section.
Introduction¶
This tutorial will cover the details of:
With relatively small modifications to a basic agent, it will be able to support multithreading and batching. If you need extra speed or are using a very large dataset which does not fit in memory, we can use a multiprocessed pytorch dataloader for improved performance.
First, let’s consider a diagram of the basic flow of DialogPartnerWorld, a simple world with two conversing agents.
The teacher generates a message, which is shown to the agent. The agent generates a reply, which is seen by the teacher.
Hogwild (multiprocessing)¶
Hogwild is initialized in the following way:
We set up a starting instance of the world: that is, we use
create_task
to set up a base world with the appropriate agents and tasks.We pass this world to a
HogwildWorld
, which sets up a number of synchronization primitivesWe launch
numthreads
threads, each initialized from ashare()
’d version of the world and the agents therein.Once these threads and their world copies are all launched, we return control back
Now that this world is set up, every time we call parley on it, it will release one of its threads to do a parley with its copy of the original base world.
There’s some added complexity in the implementation of the class to manage synchronization primitives, but the Hogwild world should generally behave just like a regular World, so you shouldn’t need to worry about it. If you do want to check out the implementation, look for HogwildWorld in the core/worlds.py file.
Sharing needs to be implemented properly within all these agents and worlds so all the proper information is shared and synced between the threads. We’ll take a look at the common setup needs for each of those.
Hogwild Teachers¶
The default setup for teachers include creating a Metrics object to track
different metrics, including the number of examples shown, accuracy, and f1.
The default share()
method automatically sets up a thread-safe version of
these metrics if needed–children can go ahead and access these metrics as normal.
Teachers using dynamic data can most likely proceed as normal, without syncing any information outside of the metrics class. However, fixed datasets need mechanisms built in to make sure that they don’t do validation or testing examples more or less than once to ensure consistent results.
Fortunately, the FixedDialogTeacher has this all built in already, so merely extending that class provides all the needed functionality.
Hogwild Models¶
For models using hogwild training, the primary concern is to share a thread-safe version of the model. This process will vary based on which framework you’re using, but we’ll include a few tips for PyTorch here.
First, check out the best practices here: http://pytorch.org/docs/master/notes/multiprocessing.html
The primary things to remember are
1. call model.share_memory()
and include your model in the share()
function
2. make sure to switch the multiprocessing start method if CUDA is enabled
You can see an example of this in the Starspace model. This model uses multiple CPU threads for faster training, and does not use GPUs at all.
Showing only the code relevant to model sharing, we see:
def __init__(self, opt, shared=None):
if shared:
torch.set_num_threads(1) # otherwise torch uses multiple cores for computation
self.model = shared['model'] # don't set up model again yourself
else:
self.model = Starspace(opt, len(self.dict), self.dict)
self.model.share_memory()
def share(self):
shared = super().share()
shared['model'] = self.model
return shared
Batching¶
Batching is set up in the following way (the first step is the same as Hogwild):
We set up a starting instance of the world: that is, we use
create_task
to set up a base world with the appropriate agents and tasks.We pass this world to a
BatchWorld
.We create
batchsize
worlds, each initialized from ashare()
’d version of the world and the agents therein.
Now, every time we call parley
on this BatchWorld, we will complete batchsize
examples.
Note that this is different than the behavior of HogwildWorld, where only a
single example is executed for each call to parley.
Note
So far, our diagram is exactly the same as Hogwild. We’ll see how it can
change below when agents implement the batch_act
function
(as GPU-based models will).
There’s a few more complex steps to actually completing a parley in this world.
Call
parley_init
on each shared world, if the world has it implemented. Most classes don’t need this–we currently only use it for ourMultiWorld
, which handles the case when one specifies multiple separate tasks to launch (e.g. “-t babi,squad”). This does any pre-parley setup, here choosing which sub-tasks to use in the next parley.Then, iterate over the number of agents involved in the task. For most tasks, this is just two agents: the teacher (task) and the student (model). For each agent, we do two steps:
Call
BatchWorld.batch_act()
. This method first checks if the original instance of the agent (not the copies) has a function namedbatch_act
implemented and does not have an attributeuse_batch_act
set toFalse
. This function is described more below. If condition is not met, the BatchWorld’sbatch_act
method iterates through each agent copy in the batch and calls theact()
method for that instance. This is the default behavior in most circumstances, and allows agents to immediately work for batching without any extra work–the batch_act method is merely for improved efficiency.Call
BatchWorld.batch_observe()
. This method goes through every other agent, and tries to call theobserve()
method on those agents. This gives other agents (usually, just the one other agent) the chance to see the action of the agent whose turn it is to act currently.
Next, we’ll look at how teachers and models can take advantage of the setup above to improve performance.
Batched Models¶
Finally, models need to be able to handle observations arriving in batches.
The first key concept to remember is that, if the model agent implements
batch_act()
, act will not be called as long as batchsize
> 1.
However, copies of the agent will still be created, and the observe
method
of each one will be called. This allows each copy to maintain a state related
to a single row in the batch. Remember, since each row in the batch is represented
by a separate world, they are completely unrelated. This means that the model
only needs to be set up in the original instance, and need not be shared with
its copies.
The observe()
method returns a (possibly modified) version of the observation
it sees, which are collected into a list for the agent’s batch_act()
method.
Now, the agent can process the entire batch at once. This is especially helpful for GPU-based models, which prefer to process more examples at a time.
Tip: if you implement batch_act()
, your act()
method can just call batchact()
and pass the observation it is supposed to process in a list of length 1.
Of course, this also means that we can use batch_act in both the task and the agent code:
Multiprocessed Pytorch Dataloader¶
When a dataset is very large, or requires a lot of preprocessing before a model
can use it, you can use our PytorchDataTeacher
, which utilizes multiprocessed
dataloading for streaming data from disk (rather than loading it into memory).
That system can take your task as input, and make it fast to load, or you can
roll your own specific setups if you need more control.
For large datasets, where it is best to stream from disk during training rather than load initially into memory, we provide a teacher that utilizes pytorch data loading.
(Note: the module here contains all of the code discussed in this tutorial)
Pytorch Dataloading Intro¶
A Pytorch DataLoader
is a dataloading mechanism that provides multiprocessed
loading of data from disk (as described here).
A DataLoader
can be initialized with a variety of different options; the only
ones that concern us are dataset
and collate_fn
.
The dataset
is a
Pytorch Dataset
(as described here),
which is a class that implements two functions: __getitem__(self, idx)
and __len__(self)
.
As is readily apparent, the __getitem__
method is given an idx
and returns the
data item at that idx
, while the __len__
method returns the length of the underlying dataset.
With a dataset
, the DataLoader
then takes care of everything else.
The collate_fn
is simply a way of formatting a batch of returned data items;
Pytorch provides a default collate_fn
that turns data into tensors, but there
are many ways that one could want to batch data from the Dataset
.
Pytorch Dataloading in ParlAI¶
Implementation¶
The PytorchDataTeacher
provides two default Datasets
and a default collate_fn
as specified above.
1. StreamDataset
- this is the Dataset
that we provide to the
DataLoader
when --datatype
is set to [train|valid|test]:stream
.
The dataset is meant for streaming data - that is, data that
does not need to (or cannot) be loaded into memory before starting training, e.g.
datasets with millions of text examples, or datasets with thousands of images.
__getitem__(self, idx)
returns(index, ep)
, whereindex
is the
idx
argument, andep
is the episode at that index in the dataset.
__len__(self)
. returns the length of the dataset.
2. ParlAIDataset
- when stream
is not in the --datatype
, ParlAI defaults
to this Dataset
, which provides random access into the dataset. Its __getitem__
and __len__
methods are functionally the same as the StreamDataset
.
3. default_collate
- this function simply returns a list of (index, ep)
pairs as they are returned from the __getitem__
function above.
How to Use¶
The PytorchDataTeacher
can be used with any dataset/task currently provided
on the ParlAI platform. There are two ways you can utilize the PytorchDataTeacher
for your specific task. One involves using the ParlAIDataset
or StreamDataset
that we have
provided; the other involves writing your own dataset. Each will be covered
step by step below. The important thing to know is that in the first case you only
need to write a teacher; in the second case, you only need to write a Dataset
.
PyTorch ParlAIDataset/StreamDataset¶
1. Ensure that there is an appropriate teacher that already exists, which can read the data saved on disk and produce an action/observation dict for any agent.
2. Build the data such that it can be used by the ParlAIDataset
or StreamDataset
. There
are two ways of doing this:
Run the following command:
python examples/build_pytorch_data.py -pyt <TEACHER> --datatype <DATATYPE>The following are the parameters to specify:
-pyt/--pytorch-teacher-task
- This is simply the teacher of the task that youare using with the
PytorchDataTeacher
--datatype
- This is one oftrain, valid, test
, depending onwhat data you would like to use.
(Recommended) Simply run
examples/train_model.py
with the same arguments listed above; this will build the data first before running the training loop. (Important) If you’d like to use theStreamDataset
, specify e.g.-dt train:stream
, otherwise the teacher will default toParlAIDataset
3. (Preprocessing) Sometimes, the preprocessing for the agent takes a considerable
amount of time in itself, and you want the data to simply be loaded preprocessed.
If you specify the --preprocess
command line argument to be true
, then
the model/agent specified in the command line parameters will have its observe
function called on each example; the data will then be saved for use specifically
with that model (setting this flag to true
and then using another agent
will result in the data needing to be rebuilt).
Finally, specify the task with
-pyt
instead of-t
Example
The following is an example of how the above steps could be applied to
use this teacher with the bAbI
dataset:
1. The bAbI
teacher (Task1kTeacher
) is implemented such that it can
read the bAbI
data, and provide an action/observation dict to send to the agent.
2. Suppose the Task1kTeacher
teacher sets its self.datafile
to the
appropriate datafile. Also, suppose we want the seq2seq
model to preprocess the data before we save it.
Then, you can build the pytorch data with one of the following commands:
(Build before training):
python examples/build_pytorch_data.py -m seq2seq -pyt babi:task10k:1 --pytorch-preprocess trueRecommended:
python examples/train_model.py -pyt babi:task10k:1 -m seq2seq --pytorch-preprocess true
3. To specify a datafile rather than using the self.datafile
attribute,
e.g. the validation set file, simply add the following:
--datafile data/bAbI/tasks_1-20_v1-2/en-valid-10k-nosf/qa1_valid.txt
Your Own PyTorch Dataset¶
1. To use your own method of retrieving data (rather than the streaming data option),
you can simply subclass the Pytorch Dataset
class (as specified here).
You can add this class anywhere you would like; a good place would be in the
agents.py
file for the task you are writing a Dataset
for.
2. (Optional) The default collate_fn
that will be used is the one
specified above in the PytorchDataTeacher
. If you would like to specify your
own collate_fn
, you can implement a static method collate
in the agent
to which you will be providing the data. This function takes one argument, batch
, which
is a list of data items returned by your custom Dataset
, and returns a
collated batch. Alternatively, you can also implement the method in the dataset.
3. Finally, instead of setting -t
on the command line, you need to specify the Dataset
with -pytd
: -pytd
dataset_task:DatasetClassName``, where
dataset_class
is the agents file where your Dataset
is written. If you
name your custom dataset DefaultDataset
, then you do not need to specify the
DatasetClassName
.
Example
An example of the above method is used for the VQA V1 task, with the
mlb_vqa
agent. Here is how it works in this example:
1. In the VQA V1 agents file,
there exists a VQADataset
, which subclasses Dataset
(with the appropriate __len__
and __getitem__
methods).
2. In the MLB VQA model file,
there is an implementation of collate
that returns a processed batch of examples from the
list of examples provided by the VQADataset
.
3. Finally, to use the PytorchDataTeacher
with the custom Dataset
and
collate
, run the following command:
python examples/train_model.py -m mlb_vqa -pytd vqa_v1
PyTorch Batch Sorting and Squashing¶
One of the benefits of using the StreamDataset
described above when
using the PytorchDataTeacher
is that you can achieve the benefits of
batch sorting and squashing (that is, reducing padding in batches by
providing the models with similarly sized batches) without having
to load the whole dataset into memory. We provide an on-the-fly
batch sorter that uses aggressive caching to create and provide
batches of similarly sized examples to models nearly as quickly (if not as quickly) as
can be provided without sorting.
To use the batch sorting method, just specify the following command line argument:
-pybsrt
- set this parameter totrue
to enable batch sorting
Additional arguments that may be of interest to you:
1. --batch-sort-field
- this specifies the field on which the examples will
be sorted into batches. The default is ‘text’, and thus batch sorting will
return batches with similarly sized ‘text’ fields.
2. --batch-length-range
- this indicates the degree of variation allowed in
a batch; e.g., by how many characters each example in a cache will, at most, deviate.
A --batch-length-range
of 5 would mean that each example in the batch
would differ by no more than 5 characters (in a text-based dataset).
Explanation and Benefits of Batch Sorting¶
Batch sorting can help training by reducing the amount of zero-padding in tensors constructed from batches of text. This technique alone sped up the time to train on a single epoch of WMT De-En with a simple convolutional architecture by approximately 4x. See this paper for an analysis of the impact of different strategies on speed and convergence.
In order to reduce the zero-padding in examples, the PytorchDataTeacher
squashes episodes into a single example
if there are multiple examples in each episode. For every example
in an episode, a separate squashed episode will be created from the examples up
to and including the current example.
The squashing can be controlled by two command-line arguments, which set whether the labels are included in the squashing (you want them for dialog, but you might not for question-answering), as well as how many examples from the past should be included.
- param pytorch-include-labels
(bool, default True) whether to include labels in the context.
- param pytorch-context-length
(int, default -1) how many past examples in the episode to include in the context for the current one. default -1 is all. note that some datasets have very long episodes (e.g. OpenSubtitles has episodes with hundreds of examples), so setting context-length to a smaller value can limit the context to an approachable amount of information for the model as well as limiting memory usage.
After doing the squashing, the PytorchDataTeacher
will return
batches where each batch contains examples of similar size (where size is determined
by the number of spaces in the example).
Let’s look at a quick example to make sure the flattening is clear.
Consider the following “conversation”, where the x
’s represent ‘text’ fields
and the y
’s represent labels in a continuous conversation between two agents.
x1 y1
x2 y2
x3 y3
x4 y4
Without batching, these examples will be presented to the agent over four parleys:
{'text': x1, 'labels': [y1], 'episode_done': False}
{'text': x2, 'labels': [y2], 'episode_done': False}
{'text': x3, 'labels': [y3], 'episode_done': False}
{'text': x4, 'labels': [y4], 'episode_done': True}
Using the flattening strategy above, with pytorch-context-length
set to -1 and
pytorch-include-labels
set to False (not recommended for conversations),
in separate rows of a batch we’d get:
{'text': x1, 'labels': [y1], 'episode_done': True}
{'text': x1 + x2, 'labels': [y2], 'episode_done': True}
{'text': x1 + x2 + x3, 'labels': [y3], 'episode_done': True}
{'text': x1 + x2 + x3 + x4, 'labels': [y4], 'episode_done': True}
If we change pytorch-context-length
to 3 and pytorch-include-labels
to True:
{'text': x1, 'labels': [y1], 'episode_done': True}
{'text': x1 + y1 + x2, 'labels': [y2], 'episode_done': True}
{'text': x2 + y2 + x3, 'labels': [y3], 'episode_done': True}
{'text': x3 + y3 + x4, 'labels': [y4], 'episode_done': True}
PytorchDataTeacher Multitask Training¶
The PytorchDataTeacher
can be used with mutltitask training in a very similar
way to the standard ParlAI multitasking. There are three simple ways of doing this.
1. If you do not have any Datasets
written for the specified tasks, simply
write -pyt <task1>,<task2>,...
on the command line. For example, you could
run the following command to multitask on SQuAD and bAbI:
python examples/train_model.py -pyt squad,babi:task1k:1 ...
2. If you only have Datasets
written for the specified tasks, simply write
-pytd <dataset1>,<dataset2>,..
on the command line. For example, you could
run the following command to multitask on COCO Captioning and Flickr30k:
python examples/train_model.py -pytd coco_caption,flickr30k ...
3. If you have a mix of Datasets
and regular teachers, you can specify
the Datasets
after the -pytd
flag and the regular teachers after the
-pyt
flag. For example, if you wanted to multitask train on SQuAD and
Flickr30k, you could run the following command:
python examples/train_model.py -pytd flickr30k -pyt squad


Claymation Movie
Production
- AnimatorDV
- Sony Vegas Movie Studio
2D Tablet Animation
- Flip-A-Clip
- Sony Vegas Movie Studio
Lights! Computer!
Action!
- Sony Vegas Movie Studio
- HIDDEN
Music Video Production
- LMMS
- Sony Vegas Movie Studio
Introduction To
Coding
- Scratch
- Sony Vegas Movie Studio
2D Game Design
- Mighty Editor
- Sony Vegas Movie Studio
Code Your Own Adventure
&
Build An App
- Atom
- Phonegap
- Inkscape
- Mozilla Firefox
3D Animation
&
3D Game Design
- Blender
- Sony Vegas Movie Studio


Stansberry leads Hawaii past Portland St. 83-75
by The Associated PressHONOLULU (AP) — Eddie Stansberry had a career-high 28 points as Hawaii defeated Portland State 83-75 on Friday night.
Stansberry made 6 of 7 3-pointers.
Drew Buggs had 13 points for Hawaii (3-1). Samuta Avea added 12 points. Zigmars Raimo had 10 points, 14 rebounds and seven assists for the home team.
Matt Hauser had 18 points and seven rebounds for the Vikings (1-2). Holland Woods added 12 points, six rebounds and five steals. Chris Whitaker had 10 points.
Hawaii plays Illinois on the road on Monday. Portland State plays Portland at home on Wednesday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
The Associated Press


This course is the second part of a three part series (Chem 201/250A/251A) that first year graduate students must take as an introduction to group theory, followed by a detailed examination of how it applies to aspects of symmetry and bonding in chemistry. Undergrads may take this course with instructor permission (email the professor), and several usually choose to do so each year.
3 hours of lecture per week. Problem sets are quite lengthy and may take 6-7 hours each.
The class is predominantly taken by first-year graduate students with some junior and senior undergraduates. Chem 201 is not a prerequisite, although somewhat helpful.
This class is offered in the fall only.
This course closely follows Cotton’s Chemical Applications of Group Theory, and readings will be assigned from Cotton throughout the course. Vincent’s Molecular Symmetry and Group Theory offers a more gentle introduction to group theory (Cotton can be verbose sometimes), and since it’s a workbook, is good practice regardless.
Like my advice for Chem 201, I would highly recommend finding a PDF or hard copy of Albright, Burdett and Whangbo’s Orbital Interactions in Chemistry – this has examples of almost every molecular orbital diagram you’ll ever need to complete the problem sets in it, and Prof. Long frequently references it in lecture. The 1st edition may honestly be better than the 2nd, because the 1st edition is shorter and more straightforward.
When reviewing for the final exam, consult lecture notes, problem sets, then assigned readings, in that order. Material covered in lecture will be emphasized, although generally speaking the final exam is easier than the problem sets.
Written by: Edward Mu
Last edited: Fall 2018


|
Island Racer
1.0
A small qt-based Racegame
|
Provides the scene for the game. More...
#include <track.h>
Signals | |
| void | LapChanged1 () |
| Signal if lap of player 1 has changed. More... | |
| void | LapChanged2 () |
| Signal if lap of player 2 has changed. More... | |
Public Member Functions | |
| Track () | |
| Init values. More... | |
| ~Track () | |
| Underground | getUnderground (int x, int y) |
| Get the underground for position (x,y) More... | |
| WorldPosition | getLastCheckpointPosition (int index) |
| Returns the position of the last checkpoint you passed. More... | |
| void | updateCheckpoints (QGraphicsItem *item, int index) |
| Calls the CheckCheckpoint function in checkpoint class and check if lap has changed. More... | |
| void | ResetCheckpoint (int index) |
| Calls the ResetCheckpointcounter function of checkpoint class. More... | |
| void | loadTrack (int width, int height, QImage background, QImage grayImage, int checkpointCount, WorldPosition *checkpointPositions, WorldPosition *carResetPositions, bool isMultiplayer) |
| Set up the scene and generating the necessary checkpoints. More... | |
| QGraphicsColorizeEffect * | getEffect () |
| Get colorize effect. More... | |
Provides the scene for the game.
| Track::Track | ( | ) |
Init values.
| Track::~Track | ( | ) |
| QGraphicsColorizeEffect * Track::getEffect | ( | ) |
Get colorize effect.
| WorldPosition Track::getLastCheckpointPosition | ( | int | index | ) |
Returns the position of the last checkpoint you passed.
| index | Indicates the player (1 or 2) |
| Underground Track::getUnderground | ( | int | x, |
| int | y | ||
| ) |
Get the underground for position (x,y)
|
signal |
Signal if lap of player 1 has changed.
|
signal |
Signal if lap of player 2 has changed.
| void Track::loadTrack | ( | int | width, |
| int | height, | ||
| QImage | background, | ||
| QImage | grayImage, | ||
| int | checkpointCount, | ||
| WorldPosition * | checkpointPositions, | ||
| WorldPosition * | carResetPositions, | ||
| bool | isMultiplayer | ||
| ) |
Set up the scene and generating the necessary checkpoints.
| width | Your screen width |
| height | Your screen height |
| background | The track image |
| grayImage | The grey scale image |
| checkpointCount | Number of checkpoints on selected track |
| checkpointPositions | Array with position of all checkpoints |
| carResetPositions | Array with position of all reset positions |
| isMultiplayer | Indicates if you need elements for SP or MP |
| void Track::ResetCheckpoint | ( | int | index | ) |
Calls the ResetCheckpointcounter function of checkpoint class.
| index | Indicates the player (1 or 2) |
| void Track::updateCheckpoints | ( | QGraphicsItem * | item, |
| int | index | ||
| ) |
Calls the CheckCheckpoint function in checkpoint class and check if lap has changed.
| item | The car object |
| index | Indicates the player (1 or 2) |


I've had experience in two methods of making printed circuit boards, a toner transfer process and a photographic process. With toner transfer heat is used to transfer printer toner onto a copper PCB to protect the copper you want to keep from washing away in acid. In the photograpic process a transparency and light sensative film are used to achieve this.


| 说明 | 使用DBM数据库文件为组提供授权支持 |
|---|---|
| 状态 | 扩展(E) |
| 模块名 | authz_dbm_module |
| 源文件 | mod_authz_dbm.c |
| 兼容性 | 仅在 Apache 2.1 及以后的版本中可用 |
This module provides authorization capabilities so that
authenticated users can be allowed or denied access to portions
of the web site by group membership. Similar functionality is
provided by mod_authz_groupfile
.
| 说明 | Sets the name of the database file containing the list of user groups for authorization |
|---|---|
| 语法 | AuthDBMGroupFile file-path |
| 作用域 | directory, .htaccess |
| 覆盖项 | AuthConfig |
| 状态 | 扩展(E) |
| 模块 | mod_authz_dbm |
AuthDBMGroupFile
directive sets the
name of a DBM file containing the list of user groups for user
authorization. File-path is the absolute path to the
group file.
The group file is keyed on the username. The value for a user is a comma-separated list of the groups to which the users belongs. There must be no whitespace within the value, and it must never contain any colons.
Make sure that the AuthDBMGroupFile
is
stored outside the document tree of the web-server. Do
not put it in the directory that it protects.
Otherwise, clients will be able to download the
AuthDBMGroupFile
unless otherwise
protected.
Combining Group and Password DBM files: In some cases it is easier to manage a single database which contains both the password and group details for each user. This simplifies any support programs that need to be written: they now only have to deal with writing to and locking a single DBM file. This can be accomplished by first setting the group and password files to point to the same DBM:
AuthDBMGroupFile /www/userbase
AuthDBMUserFile /www/userbase
The key for the single DBM is the username. The value consists of
Encrypted Password : List of Groups [ : (ignored) ]
The password section contains the encrypted password as before. This is followed by a colon and the comma separated list of groups. Other data may optionally be left in the DBM file after another colon; it is ignored by the authorization module. This is what www.telescope.org uses for its combined password and group database.
| 说明 | Sets whether authorization will be passed on to lower level modules |
|---|---|
| 语法 | AuthzDBMAuthoritative On|Off |
| 默认值 | AuthzDBMAuthoritative On |
| 作用域 | directory, .htaccess |
| 覆盖项 | AuthConfig |
| 状态 | 扩展(E) |
| 模块 | mod_authz_dbm |
Setting the AuthzDBMAuthoritative
directive explicitly to Off
allows group authorization
to be passed on to lower level modules (as defined in the
modules.c
file) if there is no group found
for the the supplied userID. If there are any groups
specified, the usual checks will be applied and a failure will
give an Authentication Required reply.
So if a userID appears in the database of more than one module;
or if a valid Require
directive applies to more than one module; then the first module
will verify the credentials; and no access is passed on;
regardless of the AuthBasicAuthoritative
setting.
A common use for this is in conjunction with one of the
auth providers; such as mod_authn_dbm
或mod_authn_file
. Whereas this DBM module supplies
the bulk of the user credential checking; a few (administrator) related
accesses fall through to a lower level with a well protected
.htpasswd
file.
By default, control is not passed on and an unknown group will result in an Authentication Required reply. Not setting it thus keeps the system secure and forces an NCSA compliant behaviour.
Do consider the implications of allowing a user to
allow fall-through in his .htaccess file; and verify that this
is really what you want; Generally it is easier to just secure
a single .htpasswd
file, than it is to secure a
database which might have more access interfaces.
| 说明 | Sets the type of database file that is used to store list of user groups |
|---|---|
| 语法 | AuthzDBMType default|SDBM|GDBM|NDBM|DB |
| 默认值 | AuthzDBMType default |
| 作用域 | directory, .htaccess |
| 覆盖项 | AuthConfig |
| 状态 | 扩展(E) |
| 模块 | mod_authz_dbm |
Sets the type of database file that is used to store the list of user groups. The default database type is determined at compile time. The availability of other types of database files also depends on compile-time settings.
It is crucial that whatever program you use to create your group files is configured to use the same type of database.


|
Depth Clustering
|
Class for spherical projection. More...
#include <spherical_projection.h>
Public Member Functions | |
| SphericalProjection (const ProjectionParams &projection_params) | |
| void | InitFromPoints (const RichPoint::AlignedVector &points) override |
| Generate projection from points. More... | |
| CloudProjection::Ptr | Clone () const override |
| Polymorphic clone of a projection. More... | |
| Public Member Functions inherited from depth_clustering::CloudProjection | |
| CloudProjection (const ProjectionParams ¶ms) | |
| const cv::Mat & | depth_image () const |
| cv::Mat & | depth_image () |
| void | CloneDepthImage (const cv::Mat &image) |
| size_t | rows () const |
| size_t | cols () const |
| size_t | size () const |
| const ProjectionParams & | params () const |
| const PointContainer & | at (const size_t row, const size_t col) const |
| PointContainer & | at (const size_t row, const size_t col) |
| const PointMatrix & | matrix () const |
| void | CheckImageAndStorage (const cv::Mat &image) |
| Check if where we store data is valid. More... | |
| void | CheckCloudAndStorage (const RichPoint::AlignedVector &points) |
| Check if where we store data is valid. More... | |
| virtual RichPoint | UnprojectPoint (const cv::Mat &image, const int row, const int col) const |
| Unproject a point from depth image coordinate. More... | |
| void | SetCorrections (const std::vector< float > &corrections) |
| Set corrections for systematic error in a dataset (see notebooks in the repo) More... | |
| void | FixDepthSystematicErrorIfNeeded () |
| Fix systematic error. See notebooks in the repo for details. | |
Additional Inherited Members | |
| Public Types inherited from depth_clustering::CloudProjection | |
| enum | Type { SPHERICAL, CYLLINDRICAL } |
| using | Ptr = shared_ptr< CloudProjection > |
| using | ConstPtr = shared_ptr< const CloudProjection > |
| Protected Attributes inherited from depth_clustering::CloudProjection | |
| PointMatrix | _data |
| ProjectionParams | _params |
| cv::Mat | _depth_image |
| std::vector< float > | _corrections |
Class for spherical projection.
|
overridevirtual |
Polymorphic clone of a projection.
Implements depth_clustering::CloudProjection.
|
overridevirtual |
Generate projection from points.
| [in] | points | The points |
Implements depth_clustering::CloudProjection.


Product Features
- One-click page layout. (This is particularly useful when you're under a heavy deadline. You just select whether you want the end product to be a book or a website, and poof, it's done!)
- Spell-checker for 327 languages.
- Image retouching tool.
- Unlimited undos and redos.


Home
Sales
About
Contact
Salmon Cookies
The Cookies Revolution
Whaere you can find us?
Seattle - Tokyo - Dubai - Paris - Lima
Directions
Working Hours
Contact Us
Whaere you can find us?
×
Seattle
152 John Smith St. +1 685-5875
Tokyo
152 John Smith St. +1 685-5875
Dubai
152 John Smith St. +1 685-5875
Paris
152 John Smith St. +1 685-5875
Lima
152 John Smith St. +1 685-5875
Working Hours
×
SAT - FRY / 06:00am - 07:00pm
Contact Us
×
info@cookiestand.com


ContractFee(fee: AssetAmount, feeToPay: AssetAmount)
Represents model of contract call fee
Author Dmitriy Bushuev