Ant McPartlin rocks a gold crown to celebrate 44th birthday in Australia
Ant McPartlin was the centre of attention as he rocked a gold crown for his birthday dinner with bestie Declan Donnelly and their other halves.
The TV host celebrated his birthday – which is today – the best way anyone could, by wearing an inflatable crown and eating endless food with his loved ones.
Both Ant and Dec took a break from hosting I’m A Celebrity Get Me Out Of Here! to ring in Ant’s special day at The Crafty Cows Restaurant.
His girlfriend Anne-Marie Corbett, Dec’s wife Ali Astall and baby Isla were there to sing the star an embarrassing ‘Happy Birthday’.
Ant started the celebrations with a non-alcoholic drink while chatting away to his girlfriend and friends.
The TV host is back on I’m A Celeb after taking a year off.
He pulled out of hosting in 2018 after he stepped away following a drink driving conviction and battles with alcohol and prescription drugs.
Ant and Dec’s Instagram page shared a picture of a chocolate cake that was cut into Ant’s name.
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The cake was sprinkled with M&M’s as well as M&M chocolate bars because why not.
Holly Willoughby, who replaced the host last year, wished him a ‘Happy birthday’ underneath the post and added several love hearts.
Dragon’s Den investor Peter Jones and Irish actress Laura Whitmore also wished the host well on his big day.
Meanwhile, fans have been absolutely loving Ant rejoining Dec as host of the new series of the series but they’re already missing Holly.
Fans were happy Ant was back by Dec’s side in the jungle, but social media was divided as Holly proved to be popular the year before.
One fan wrote on Twitter: ‘So happy to see @antanddec back together again for @imacelebrity but I do miss @hollywills.’
And another tweeted: ‘I miss Holly Willoughby already, not gonna lie.’

Not even one ad break in, however, and people began rushing to Ant’s defence.
One fan tweeted: ‘So glad Ant is reunited with Dec on I’m A Celebrity there (sic) a great pair together. [I] mean @hollywills done a great job last year but it’s always great when them two are together.’
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


| MaxMembers | StickySession | DisableFailover | Timeout | FailoverAttempts | Method | Path | Active |
|---|---|---|---|---|---|---|---|
| 8 [6 Used] | JSESSIONID | jsessionid | On | 0 | 5 | byrequests | / | Yes |
| Worker URL | Route | RouteRedir | Factor | Set | Status | Elected | Busy | Load | To | From |
|---|---|---|---|---|---|---|---|---|---|---|
| https://somehost0057:9101/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0057-1 | 1 | 0 | Init Drn Ok | 0 | 0 | 1 | 0 | 0 | |
| https://somehost0057:9111/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0057-2 | 1 | 0 | Init Ign Drn Ok | 0 | 0 | 1 | 0 | 0 | |
| https://somehost0057:9121/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0057-3 | 1 | 0 | Init Drn Dis | 0 | 0 | 1 | 0 | 0 | |
| https://somehost0058:9101/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0058-1 | 1 | 0 | Init Drn Stby Ok | 0 | 0 | 1 | 0 | 0 | |
| https://somehost0058:9111/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0058-2 | 1 | 0 | Init Drn Ok | 0 | 0 | 1 | 0 | 0 | |
| https://somehost0058:9121/hct | SOMEHOST-LTST-HEALTH-CHECK-4.0-somehost0058-3 | 1 | 0 | Init Drn Ok | 0 | 0 | 1 | 0 | 0 |
| MaxMembers | StickySession | DisableFailover | Timeout | FailoverAttempts | Method | Path | Active |
|---|---|---|---|---|---|---|---|
| 0 [-2 Used] | JSESSIONID | jsessionid | On | 0 | 5 | byrequests | / | Yes |
| Worker URL | Route | RouteRedir | Factor | Set | Status | Elected | Busy | Load | To | From |
|---|


Busquets: Playing against Atletico is always difficult
The Barca midfielder spoke after the Spanish Super Cup draw
by Sport ENSergio Busquets made a small analysis of the Spanish Super Cup draw that pitted Barca against Atletico Madrid on Jan 9 in Saudi Arabia, at the King Abdullah Yeda stadium.
Busquets, one of the Barca captains, said: "Playing against Atletico is always difficult because they have great players and a great coach. They're a really competitive team that always give you problems."
He was sad that Barca play in the second semi-final. "We have a day lest of rest before the final, but that's how the tournament is. We hope to compete to the max to win the tournament."


Border Patrol agent shoots Russian man near Mexico border
by Caitlin YilekA Border Patrol agent shot and wounded a Russian man suspected of crossing the border illegally into Arizona, the agency said Friday.
The agent tried to arrest the man Thursday near the Arizona border with Mexico, and a physical altercation ensued, according to the agency. The agent shot the man, who was flown to a Phoenix hospital and is expected to survive. The Border Patrol agent was not seriously injured.
"As the agent attempted to arrest the subject, a physical altercation ensued, and the agent discharged his firearm, striking the subject," U.S. Customs and Border Patrol said.
The FBI is joining CBP's Use of Force Incident Team in investigating the shooting.
An agency spokesman did not immediately return a request for comment from the Washington Examiner.


Title
A small heading set in all caps for emphasis. A Title summarises a section and can be used either on its own or in conjunction with another Heading.
Default title
Titles do not wrap unto a new line, so use only very short strings of text.
Title
Sizes
There are 3 size variations available.
Title size 1
Title size 2
Title size 3
Responsive sizes
Each size can be toggled as the viewport width changes, using the 4 responsive prefixes. Resize your browser window the see the title adapt.
Responsive title
Colors
Colors are handled with utility classes.
The recommended color values are 600
for light
backgrounds and 300
for dark backgrounds.
Check out the color docs for more detailed guidelines on color usage.


valve device second solenoid lifting means according elements rod joining magnet centering positioning devices CLAIM-TEXT:. claim figref[FIG. claim-ref[claim formed invention effective way includes retaining assembly circular document-id:: element sealing shows substantially classification-national:: provides [patcit]: axial axis citation: cited connection connector device. examiner open view advantageously arranged clearances simple action-date: al. coil device, embodiment end fixing generating-office:: Classification: EMI-D centered evident having housing produced series advantageous individual peripheral preassembled preferably production provided relation said axis, direction end, form injection-molding intended mechanical operations plate possible preferred respect ring shapes [addressbook]: armature closed connected cross-sectional development fluid guiding ipc-version-indicator:: multi-component operation process return serves valve. way, (not adapted carried consequently cpc-version-indicator:: described directed joined locking magnet, magnetic offset operations. orthogonally portion portion. process. sectional shape that, turning used


FBK-ICT offers a unique stimulating and exciting environment to its PhD students. PhD students supervised by FBK-ICT researchers conduct their work in the lab of the research units, in strict collaboration with the units’ teams and under the supervision of top-ranked researchers, targeting the highest scientific and publication standards.
The FBK-ICT PhD program involves more than 60 PhD Students allocated to the units of the three Research Lines and of the three High Impact Initiatives of the center. The PhD program is carried out in collaboration with prestigious national and international Affiliated universities.
Most Alumni of the FBK-ICT PhD program have an exceptionally strong publication and citation record. After their PhD, some of them have been enrolled in prestigious institutions, as the University of Luxembourg and the University of Colorado at Boulder.
Topic: Information and Communication Technologies
Number of positions: 3
Website:http://ict.unitn.it/application/ict_doctoral_school
Closing Date: 13 June 2016
Topic: Computer Science and Systems Engineer
Number of positions: 4
Website:http://phd.dibris.unige.it/csse/
Closing Date: 10 June 2016
Alfio Gliozzo has 16 years of research and development experience in the field of Artificial Intelligence, with strong focus on Natural Language Processing and Semantic Web. He is currently managing the Knowledge Induction department at IBM T.J. Watson Research and teaching Cognitive Computing at Columbia University. He was part of the Deep QA team that developed Jeopardy! system.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Sunt ut voluptatum eius sapiente, totam reiciendis temporibus qui quibusdam, recusandae sit vero unde, sed, incidunt et ea quo dolore laudantium consectetur!
Steering Committee:
- Paolo Tonella (Chair, ICT)
- Claudio Piemonte (CMM)
- Luciano Serafini (ICT)
- Annapaola Marconi (ICT)
- Bernardo Magnini (ICT)
- Leandro Lorenzelli (CMM)
- Marco Ventura (ISR)
Secretariat: Patrizia Ianes (ianes@fbk.eu)


Preparation time
over 2 hours
Cooking time
10 to 30 mins
Serves
Serves 4
Make your own dough for this folded pizza recipe. Simon Rimmer serves it with mozzarella, capers and meats such as salami, prosciutto or speck.
For the dough, sift the flour into a bowl.
Mix the milk, water and yeast together in a separate bowl.
Add the yeast mixture to the flour and mix together to form a dough. Knead the dough for five minutes on a floured and even service.
Add the olive oil and knead again to combine. Cover the bowl with cling film and leave somewhere warm for two hours.
Preheat the oven to 230C/450F/Gas 8. Place a baking tray into the oven to preheat.
Add the salt to the dough and knead again, then divide the dough into four equal portions and roll into balls.
Place each ball onto a floured work surface and roll out into 20cm/8in circles.
For the filling, place all of the filling ingredients into a bowl and mix together well.
Place one quarter of the filling mixture onto one half of each dough circle, leaving a 2cm/1in gap around the edge.
Brush the clean edges with water then fold the other sides over to cover the filling and pinch the edges to seal the four parcels.
Place the calzones onto the preheated baking sheet and transfer to the oven to bake for eight minutes, or until the dough is cooked through and the filling hot.


Open a URL that is either relative to your projects' base URL or an absolute one.
Use Basic HTTP authentication (optional)


Guidance
Specialist residential institutions offering residential bursary fund: academic year 2016 to 2017
Specialist residential institutions offering the Residential Bursary Fund in the 2016 to 2017 academic year
In the 2016 to 2017 academic year, there are 40 specialist residential education institutions which offer support from the Residential Bursary Fund. Students should talk directly to the institution concerned to explore if they may be eligible for support.
The institutions are listed below; for ease, these are set out by English region. Website addresses are given for each and students may wish to refer to these for further information and a full list of the study programmes they offer.


GwtMaterialDesign
This is a Progressive Web App
Your web browser must have JavaScript enabled in order for this application to display correctly.


{% extends "global/Page.html" %} {% load staticfiles otree %} {% block title %} Results {% endblock %} {% block content %}
Your payoff is as follows: {{self.player.reward_answer}}


Geo-Referencing sample
Base Layers
Open Street Map Standard
Open Street Map Humanitarian
Stamen Terrain
Satelite Layer
Bing Satelite Layer
Input file:
LongLat1 "Red":
LongLat2 "Green":
pexel1 "Blue":
pexel2 "Orange":
Options:
Action type
None
Floorw 1
Floorw 2
0 selected features
Rotation:
Center floor 1:
Center floor 2:
Scale floor 1:
Scale floor 2:
Crop:
Search projection:
Search
Render reprojection edges & Show graticule
Render reprojection edges
Show graticule


Firefly, the first social media feedback loop.
Firefly is an integrated social media feedback system of local POIs. Using a combination data mining and crowd sourcing, Firefly sorts multi-social platform data by sentiment and returns the ultimatum rating of the POI in consideration. These returns then become lights on a map interface. The more popular the POI, the brighter the light, hence the idea behind the name"fireflies".


EC544 Project Demo Repository
Group 3, Fall 2013, Boston University
Aaron Heuckroth, Erik Knechtel, and Abhinav Nair
Project Pages
Challenges 1 and 2
Challenge 4
Localization
Challenge 7


Uniform Demo
Message:
Your Name:
Your Email:
Search:
Phone:
URL:
Datetime:
Date:
Month:
Week:
Time:
Datetime-local:
Number:
Range:
Color:
Some Password:
I found your site:
Through Google
Through Twitter
Other…
<Hi>
Saying hi
Sending feedback
Default Seleted Radio
Please contact me back
Today is a good day
Upload a file:
If you can see this, it's an error
Normal link
,
uniformed link (self)
and
uniformed link (new window)
.


You can give your user the ability to retreive only the data they need instead of all of an object representation. For the adress field, some can want to retreive only the country and the city field but do not care about the others.
with Python REST API Framework, it’s easy to make this happend.
First import the Partial base class:
from rest_api_framework.partials import Partial
Then add the partial option to the AddressEndPoint:
class AddressEndPoint(UserEndPoint):
ressource = {
"ressource_name": "address",
"ressource": {"name": "adress_book.db", "table": "address"},
"model": AddressModel,
"datastore": SQLiteDataStore,
"options": {"partial": Partial()}
}
curl -i -X GET "http://localhost:5000/address/?accesskey=hackme&fields=city,country"
HTTP/1.0 200 OK
Content-Type: application/json
Content-Length: 241
Server: Werkzeug/0.8.3 Python/2.7.2
Date: Wed, 16 Oct 2013 15:50:27 GMT
{
"meta": {
"count": 20,
"filters": {
"accesskey": "hackme",
"fields": "city,country"
},
"next": "null",
"offset": 0,
"previous": "null",
"total_count": 1
},
"object_list": [
{
"city": "Paris",
"country": "France",
"ressource_uri": "/address/1/"
}
]
}
next: The Whole Application


The task is used to change the mode of the service on the Service Virtualization server.
| Attribute | Description | Required |
| url | The server's management endpoint (e.g. https://localhost:6085/management or http://localhost:6080/management) | No (if you use the projectFile parameter). |
| username | Username for conencting to the server management endpoint. | No |
| password | Password for conencting to the server management endpoint. | No |
| projectFile | Project File (.vproj or .vproja) from where the service is. | No |
| service | The name of the service (or its ID) whose mode we want to change. | Yes |
| dataModel | Data Model for the service (ID or the name) | No |
| perfModel | Performance Model for the service (ID or the name) | No |
| mode | The mode the service will be switched to. it has to be one of: SIMULATING, STAND_BY | Yes |
| force | Force mode means that if the service to be changed is locked by another user the task will automatically unlock it. If you don't use force mode and the service is locked, the chmode won't be accomplished. Be careful with this option because you can rewrite another user's data if you explicitly unlock the service. | No |
<svchmode url="https://localhost:6085" username="HPSV" password="secret" service="My Nice Service" mode="STAND_BY" />Switch the service into the STAND_BY mode.
<svchmode url="https://localhost:6085" username="HPSV" password="secret" service="My Nice Service" mode="SIMULATING" dataModel="My Nice Service Perfect Data Model" />Switch the service into the SIMULATING mode with data model "My Nice Service Perfect Data Model" and no performance model.


For this project you will be building a generic website that will seem to ask mundane questions to normal users, but you secretly are looking for a spy! Anyone visiting your website will be asked a series of questions, only the Spy will be able to give specific answers you expect. If all questions are answered correctly, you will post a secret message in console for the Spy to read!
Here are the four conditions you will check for the spy:
We are going to leave this project a little more open-ended, but if you feel like you need more guidance, check out the solution walkthrough videos! But believe it or not, we've actually covered everything you need to know to complete this task. I would suggest you use Javascript to prompt the user for information and set these to variables. Then use these variables to check for the four conditions to all be true. It's up to you what the secret message is!
A spy with the following information should see your secret message:
Keep in mind you can ask the question prompts in whatever order you want, you can even separate asking for first name and then another prompt for last name
Also remember to switch out the script src to your own .js file! Right now it's connected to Part8.js which contains the solutions


Hello! My name is Nadhiir Rosun and I am a Web/Mobile Developer living in the paradise island of Mauritius. I am an enthusiastic and dynamic professional who enjoys learning, solving problems and achieve excellence in everything I do.
I spend most of my time writing beautiful codes, learning new concepts and finding the right balance between office and social life. My career goals in less than 140 characters: specialise in the PHP ecosystem, travel the world, share my experience and contribute to the PHP community.
Are you working on an interesting project and think I can help you with it?
Feel free to email me at hello@nadhiir-rosun.com.


Paddy Barnes retires from boxing saying: 'I have loved every minute of it'
Two-time Olympic bronze medallist and Commonwealth champion hangs up his gloves after six wins and three defeats as a professional
by Irishmirror.iePaddy Barnes has announced his retirement from boxing.
Two-time Olympic bronze medallist Barnes has called time on his professional career after suffering three defeats in his last four fights.
The 32-year-old from Belfast fought nine times as a professional, winning six, and winning the WBO Inter-Continental flyweight title and the WBO European flyweight title, both in 2017.
Barnes had a distinguished career as an amateur, representing Ireland at three Olympics, and winning medals at light-flyweight in Beijing and London.
He won gold at the 2010 and 2014 Commonwealth Games while competing for Northern Ireland, and won the 2010 European Championships.
Barnes said in a statement: "I have loved every minute of boxing - it has been my life for the last 21 years.
"I have achieved my dream of becoming an Olympian and getting to carry the Irish flag at the Olympic Games opening ceremony. Those moments were the proudest of my career.
“Professional boxing was never a dream of mine, but I tried and threw myself into the deep end straight away.
"It didn’t work out but I wouldn’t have had it any other way. I’d like to thank my family for supporting me throughout my entire career, my wife Mari for keeping my feet firmly on the ground and helping me towards my goals.”
Barnes had said last month he was considering his boxing future after being beaten by Jay Harris in a flyweight bout at the Ulster Hall for the IBF Inter-Continental flyweight title.
He lost his one world title fight, to Cristofer Rosales for the WBC flyweight title, in 2018.
On his professional debut in Belfast in 2016, Barnes was lifted into the air by his opponent Stefan Slavchev, who was then disqualified by the referee.
In his statement Barnes went on to thank his parents, Jimmy Linden, Gerry Storey, Seamy McCann and Holy Family Boxing Club.
He also thanked his professional coach Danny Vaughan as well as promoters MTK.
Barnes added: “I am forever grateful, especially for my world title fight.”
He finished his message with a thanks to the “fans that supported me”, adding “you all made it worthwhile. Thank you. The Leprechaun.”


MediaPipe GSOC 2021: Video Effects Web App
2021
Run
Show Face Mesh
Enable Face Detection
Enable Selfie Segmentation
Segmentation Options
Set Background Image
Set Background Color
Upload Image
Pick color:


PgAccess 0.93 is working fine with PostgreSQL 6.4.x due to some
changes in libpgtcl !
There is a small patch that you have to make in order to make it work with 6.3.x !
Replace in procedure wpg_exec the following line:
set pgsql(errmsg) [pg_result $pgsql(res) -error]
with this one :
set pgsql(errmsg) "NO ERROR INFORMATION SUPPLIED"
And it will work fine! In some error cases, you will not get the appropriate error message from libpgtcl.


Exclude from T those types that are assignable to U
Extract from T those types that are assignable to U
Obtain the return type of a constructor function type
Exclude null and undefined from T
Returns a subset of type T which excludes properties K
Obtain the parameters of a function type in a tuple | never
.
Make all properties in T optional
From T pick a set of properties K
Make all properties in T readonly
Construct a type with a set of properties K of type T
Make all properties in T required
Obtain the return type of a function type
Make all properties in T non-readonly.
unknown - undefined = defined
Provides functionality common to all JavaScript objects.
Generated using TypeDoc
Obtain the parameters of a constructor function type in a
tuple | never


[t]Dear {$userName},[/t]
[t]This is the list of congratulation events for the following week.[/t]
{$congrEvent.eventDate} - {$congrEvent.candidate_name}
{$congrEvent.eventName}
[t]Remark: this e-mail message has been automatically generated[/t]
{/if}


Bradlee Speice, Sun 15 May 2016, Blog
Or, how to get thrown out of a casino because you're a mathematician.
In the ongoing eternal cycle of mathematicians asking generally useless questions about probability, I dreamt up another one.  All you get to see is their sum. Given an arbitrarily long list of the sum of two rolls, can you determine if one or both die are loaded, and what those loadings are?
My first question is simply, is this possible? There's a lot of trivial cases that make it obvious that there's cheating going on. But there are some edge cases that might give us more difficulty. First though, let's get a picture of what the fair distribution looks like. In principle, we can only detect cheating if the distribution of the fair die differs from the distribution of the loaded die.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
fair_1 = np.random.randint(1, 7, 10000)
fair_2 = np.random.randint(1, 7, 10000)
pd.Series(fair_1 + fair_2).plot(kind='hist', bins=11);
plt.title('Fair Distribution');
This distribution makes sense: there are many ways to make a 7 (the most frequent observed value) and very few ways to make a 12 or 2; an important symmetry. As a special note, you can notice that the sum of two fair dice is a discrete case of the Triangle Distribution, which is itself a special case of the Irwin-Hall Distribution.
Given that we understand how the results of two fair dice are distributed, let's see some of the interesting edge cases that come up. This will give us assurance that when a casino is cheating, it is detectable (given sufficient data). To make this as hard as possible, we will think of scenarios where the expected value of the sum of loaded dice is the same as the expected value of the sum of fair dice.
 That is, where:
\begin{align} \begin{array}{cc} D_1 = \left\{ \begin{array}{lr} 1 & w.p. 1/3\\ 2 & w.p. 1/3\\ 3 & w.p. 1/12\\ 4 & w.p. 1/12\\ 5 & w.p. 1/12\\ 6 & w.p. 1/12 \end{array} \right. & D_2 = \left\{ \begin{array}{lr} 1 & w.p. 1/12\\ 2 & w.p. 1/12\\ 3 & w.p. 1/12\\ 4 & w.p. 1/12\\ 5 & w.p. 1/3\\ 6 & w.p. 1/3 \end{array} \right. \\ \mathbb{E}[D_1] = 2.5 & \mathbb{E}[D_2] = 4.5 \end{array}\\ \mathbb{E}[D_1 + D_2] = 7 = \mathbb{E}[D_{fair} + D_{fair}] \end{align}def unfair_die(p_vals, n):
x = np.random.multinomial(1, p_vals, n)
return x.nonzero()[1] + 1
d1 = [1/3, 1/3, 1/12, 1/12, 1/12, 1/12]
d2 = [1/12, 1/12, 1/12, 1/12, 1/3, 1/3]
x1 = unfair_die(d1, 10000)
x2 = unfair_die(d2, 10000)
pd.Series(x1 + x2).plot(kind='hist', bins=11);
plt.title('$D_1$ biased low, $D_2$ biased high');
We can see that while the 7 value remains the most likely (as expected), the distribution is not so nicely shaped any more.
Edge Case 2: When one die is loaded low, and one is loaded high, we've seen how we can detect them. How about when two die are loaded both low and high? That is, we have the following distribution:
\begin{align} \begin{array}{cc} D_1 = \left\{ \begin{array}{lr} 1 & w.p. 1/3\\ 2 & w.p. 1/12\\ 3 & w.p. 1/12\\ 4 & w.p. 1/12\\ 5 & w.p. 1/12\\ 6 & w.p. 1/3 \end{array} \right. & D_2 = \left\{ \begin{array}{lr} 1 & w.p. 1/3\\ 2 & w.p. 1/12\\ 3 & w.p. 1/12\\ 4 & w.p. 1/12\\ 5 & w.p. 1/12\\ 6 & w.p. 1/3 \end{array} \right. \\ \mathbb{E}[D_1] = 3.5 & \mathbb{E}[D_2] = 3.5 \end{array}\\ \mathbb{E}[D_1 + D_2] = 7 = \mathbb{E}[D_{fair} + D_{fair}] \end{align}We can see even that the expected value of each individual die is the same as the fair die! However, the distribution (if we are doing this correctly) should still be skewed:
d1 = [1/3, 1/12, 1/12, 1/12, 1/12, 1/3]
d2 = d1
x1 = unfair_die(d1, 10000)
x2 = unfair_die(d2, 10000)
pd.Series(x1 + x2).plot(kind='hist', bins=11)
plt.title("$D_1$ and $D_2$ biased to 1 and 6");
In a very un-subtle way, we have of course made the values 2 and 12 far more likely.
There are some trivial examples of cheating that are easy to detect: whenever the expected value of the sum of two fair dice deviates from the expected value for the sum of two fair dice, we can immediately conclude that there is cheating at stake.
The interesting edge cases occur when the expected value of the sum of loaded dice matches the expected value of the sum of fair dice. Considering the above examples (and a couple more I ran through in developing this), we have seen that in every circumstance having two unfair dice leads to a distribution of results different from the fair results.
We can thus finally state: just by looking at the distribution of results from this game, we can immediately conclude whether there is cheating.
What we really would like to do though, is see if there is any way to determine how exactly the dice are loaded. This is significantly more complicated, but we can borrow some algorithms from Machine Learning to figure out exactly how to perform this process. I'm using the Simulated Annealing algorithm, and I discuss why this works and why I chose it over some of the alternatives in the justification. If you don't care about how I set up the model and just want to see the code, check out the actual code.
Simulated Annealing is a variation of the Metropolis-Hastings Algorithm, but the important thing for us is: Simulated Annealing allows us to quickly optimize high-dimensional problems. But what exactly are we trying to optimize? Ideally, we want a function that can tell us whether one distribution for the dice better explains the results than another distribution. This is known as the likelihood function.
To derive our likelihood function, we want to know: what is the probability of seeing a specific result given those hidden parameters? This is actually a surprisingly difficult problem. While we can do a lot of calculations by hand, we need a more general solution since we will be working with very some interesting die distributions.
We first note that the sum of two dice can take on 11 different values - 2 through 12. This implies that each individual sum follows a Categorical distribution. That is:
\begin{align} \mathcal{L(x)} = \left\{ \begin{array}{lr} p_2 & x = 2\\ p_3 & x = 3\\ \ldots & \\ p_{11} & x = 11\\ p_{12} & x = 12 \end{array} \right. \end{align}Where each $p_i$ is the probability of seeing that specific result. However, we need to calculate what each probability is! I'll save you the details, but this author explains how to do it.
Now, we would like to know the likelihood of our entire data-set. This is trivial:
\begin{align} \mathcal{L(\mathbf{X})} &= \prod_{i=1}^n L(x) \end{align}However, it's typically much easier to work with the $\log(\mathcal{L})$ function instead. This is critically important from a computational perspective: when you multiply so many small numbers together (i.e. the product of $L(x)$ terms) the computer suffers from rounding error; if we don't control for this, we will find that no matter the distributions we choose for each die, the "likelihood" will be close to zero because the computer is not precise enough.
\begin{align} \log(\mathcal{L}) &= \sum_{i=1}^n \log(L) \end{align}The means by which we optimize our likelihood function is the simulated annealing algorithm. The way it works is as follows:
Start with a random guess for the parameters we are trying to optimize. In our case we are trying to guess the distribution of two dice, and so we "optimize" until we have a distribution that matches the data.
For each iteration of the algorithm:
The algorithm is complete after we fail to make a transition $n$ times in a row.
If everything goes according to plan, we will have a value that is close to the true distribution of each die.
We start by defining the score function. This will tell us how well the proposed die densities actually explain the results.
import numpy as np
from numpy import polynomial
def density_coef(d1_density, d2_density):
# Calculating the probabilities of each outcome was taken
# from this author: http://math.stackexchange.com/a/1710392/320784
d1_p = polynomial.Polynomial(d1_density)
d2_p = polynomial.Polynomial(d2_density)
coefs = (d1_p * d2_p).coef
return coefs
def score(x, d1_density, d2_density):
# We've now got the probabilities of each event, but we need
# to shift the array a bit so we can use the x values to actually
# index into it. This will allow us to do all the calculations
# incredibly quickly
coefs = density_coef(d1_density, d2_density)
coefs = np.hstack((0, 0, coefs))
return np.log(coefs[x]).sum()
Afterward, we need to write something to permute the proposal densities. We make random modifications, and eventually the best one survives.
def permute(d1_density, d2_density):
# To ensure we have legitimate densities, we will randomly
# increase one die face probability by `change`,
# and decrease one by `change`.
# This means there are something less than (1/`change`)^12 possibilities
# we are trying to search over.
change = .01
d1_index1, d1_index2 = np.random.randint(0, 6, 2)
d2_index1, d2_index2 = np.random.randint(0, 6, 2)
# Also make sure to copy. I've had some weird aliasing issues
# in the past that made everything blow up.
new_d1 = np.float64(np.copy(d1_density))
new_d2 = np.float64(np.copy(d2_density))
# While this doesn't account for the possibility that some
# values go negative, in practice this never happens
new_d1[d1_index1] += change
new_d1[d1_index2] -= change
new_d2[d2_index1] += change
new_d2[d2_index2] -= change
return new_d1, new_d2
Now we've got the main algorithm code to do. This is what brings all the pieces together.
def optimize(data, conv_count=10, max_iter=1e4):
switch_failures = 0
iter_count = 0
# Start with guessing fair dice
cur_d1 = np.repeat(1/6, 6)
cur_d2 = np.repeat(1/6, 6)
cur_score = score(data, cur_d1, cur_d2)
# Keep track of our best guesses - may not be
# what we end with
max_score = cur_score
max_d1 = cur_d1
max_d2 = cur_d2
# Optimization stops when we have failed to switch `conv_count`
# times (presumably because we have a great guess), or we reach
# the maximum number of iterations.
while switch_failures < conv_count and iter_count < max_iter:
iter_count += 1
if iter_count % (max_iter / 10) == 0:
print('Iteration: {}; Current score (higher is better): {}'.format(
iter_count, cur_score))
new_d1, new_d2 = permute(cur_d1, cur_d2)
new_score = score(data, new_d1, new_d2)
if new_score > max_score:
max_score = new_score
max_d1 = new_d1
max_d2 = new_d2
if new_score > cur_score:
# If the new permutation beats the old one,
# automatically select it.
cur_score = new_score
cur_d1 = new_d1
cur_d2 = new_d2
switch_failures = 0
else:
# We didn't beat the current score, but allow
# for possibly switching anyways.
accept_prob = np.exp(new_score - cur_score)
coin_toss = np.random.rand()
if coin_toss < accept_prob:
# We randomly switch to the new distribution
cur_score = new_score
cur_d1 = new_d1
cur_d2 = new_d2
switch_failures = 0
else:
switch_failures += 1
# Return both our best guess, and the ending guess
return max_d1, max_d2, cur_d1, cur_d2
And now we have finished the hard work!
Let's go through a couple of scenarios and see if we can catch the casino cheating with some loaded dice. In every scenario we start with an assumption of fair dice, and then try our hand to figure out what the actual distribution was.
The casino is using two dice that are both biased low. How well can we recover the distribution?
import time
def simulate_casino(d1_dist, d2_dist, n=10000):
d1_vals = unfair_die(d1_dist, n)
d2_vals = unfair_die(d2_dist, n)
start = time.perf_counter()
max_d1, max_d2, final_d1, final_d2 = optimize(d1_vals + d2_vals)
end = time.perf_counter()
print("Simulated Annealing time: {:.02f}s".format(end - start))
coef_range = np.arange(2, 13) - .5
plt.subplot(221)
plt.bar(coef_range, density_coef(d1_dist, d2_dist), width=1)
plt.title('True Distribution')
plt.subplot(222)
plt.hist(d1_vals + d2_vals, bins=11)
plt.title('Empirical Distribution')
plt.subplot(223)
plt.bar(coef_range, density_coef(max_d1, max_d2), width=1)
plt.title('Recovered Distribution')
plt.gcf().set_size_inches(10, 10)
simulate_casino([2/9, 2/9, 2/9, 1/9, 1/9, 1/9],
[2/9, 2/9, 2/9, 1/9, 1/9, 1/9])
The casino now uses dice that are both biased towards 1 and 6.
simulate_casino([1/3, 1/12, 1/12, 1/12, 1/12, 1/3],
[1/3, 1/12, 1/12, 1/12, 1/12, 1/3])
The casino will now use one die biased towards 1 and 6, and one die towards 3 and 4.
simulate_casino([1/3, 1/12, 1/12, 1/12, 1/12, 1/3],
[1/12, 1/12, 1/3, 1/3, 1/12, 1/12])
We'll now finally go to a fair casino to make sure that we can still recognize a positive result.
simulate_casino(np.repeat(1/6, 6), np.repeat(1/6, 6))
We've so far been working with a large amount of data - 10,000 data points. Can we now scale things back to only 250 throws? We'll start with two dice biased high.
simulate_casino([1/9, 1/9, 1/9, 2/9, 2/9, 2/9],
[1/9, 1/9, 1/9, 2/9, 2/9, 2/9],
n=250)
The results are surprisingly good. While the actual optimization process took much longer to finish than in the other examples, we still have a very good guess. As a caveat though: the recovered distribution tends to overfit the data. That is, if the data doesn't fit the underlying distribution well, the model will also fail.
Given the results above, we can see that we have indeed come up with a very good algorithm to determine the distribution of two dice given their results. As a benefit, we have even seen that results come back very quickly; it's not uncommon for the optimization to converge within a tenth of a second.
Additionally, we have seen that the algorithm can intuit the distribution even when there is not much data. While the final example shows that we can 'overfit' on the dataset, we can still get valuable information from a relatively small dataset.
We can declare at long last: the mathematicians have again triumphed over the casino.
So why even use an algorithm with a fancy title like Simulated Annealing? First of all, because the title is sexy. Second of all, because this is a reasonably complicated problem to try and solve. We have a parameter space where each value $p_{ij} \in (0, 1); i, j \in \{1, \ldots, 6\}$, for a total of 12 different variables we are trying to optimize over. Additionally, given a 12-dimensional function we are trying to optimize, simulated annealing makes sure that we don't fall into a local minimum.
This is a fair question. There are two classes of algorithms that can also be used to solve this problem: Non-linear optimization methods, and the EM algorithm.
I chose not to use non-linear optimization simply because I'm a bit concerned that it will trap me in a local maximum. Instead of running multiple different optimizations from different starting points, I can just use simulated annealing to take that into account. In addition, throughout the course of testing the simulated annealing code converged incredibly quickly - far more quickly than any non-linear solver would be able to accomplish.
The EM Algorithm was originally what I intended to write this blog post with. Indeed, the post was inspired by the crooked casino example which uses the EM algorithm to solve it. However, after modeling the likelihood function I realized that the algebra would very quickly get out of hand. Trying to compute all the polynomial terms would not be fun, which would be needed to actually optimize for each parameter. So while the EM algorithm would likely be much faster in raw speed terms, the amount of time needed to program and verify it meant that I was far better off using a different method for optimization.


{% include "header.html" %} {% include "proportional_form.html" %}
| Metric | Estimated Minimum Requirement |
|---|---|
| RMSE | {{ rmse }} |
| MAPE | {{ mape }} |
| MAE | {{ mae }} |
The metric above are an estimate of what the minimal performance will be to satisfy your business requirements.


Guest Voices: The Power of COMmunity
Megan Chrobak, principal of Oakland Mills Middle School, writes about engaging her school community and meeting the needs of students both in and out of the classroom.
More News
2019 Graduation Ceremony Dates
HCPSS has announced the graduation ceremony schedule for the 2018–2019 school year. Commencements will take place between May 23 and May 30. Graduation-related information is available online.
Update on the 2019-2020 Calendar
Recent changes in state law allow greater flexibility to local Boards in establishing school calendars. HCPSS will maintain the previously announced student start date of September 3, 2019, a decision made in fairness to students, families and staff who have already scheduled summer plans.
Night of Honor Event to Recognize Staff and Alumni
In partnership with HCPSS, the Bright Minds Foundation will host the 2019 Night of Honor to recognize outstanding HCPSS staff and alumni on Tuesday, May 7, from 6:30-9 p.m., at Long Reach High School. Tickets are available at $15 through the Bright Minds Foundation.
HCPSS Congratulates 35 National Board Certified Teachers
At the March 28 Board of Education meeting, HCPSS recognized 35 teachers who achieved National Board Certification, the highest-level credential in the educational profession.
HCPSS Students Named 2019 Carson Scholars
Twenty-four HCPSS students in Grades 4–11, who have demonstrated outstanding academic achievement and humanitarianism, have been named 2019 Carson Scholars.
Events
Outstanding Alumni Award
Nominations Due Friday, April 5
The Bright Minds Foundation will recognize three former HCPSS students with its first ever Work Hard Be Kind Outstanding Alumni Award, which celebrates alumni who have achieved the highest level of professional or academic accomplishment and demonstrated service to the Howard County community.
Youth Art Month Exhibition
Through Friday, April 19, Howard County Center for the Arts
The public is invited to the Howard County Center for the Arts’ Youth Art Month exhibit featuring hundreds of works by HCPSS K-12 students.
Get Involved in Student Leadership and Service
Wednesday, April 10, 7-8:30 p.m., Homewood Center Cafeteria
All middle and high school students interested in serving the community and gaining leadership skills are invited to participate in the monthly meetings of the Howard County Association of Student Councils (HCASC). At the April meeting, participants will select the mascot and school colors for High School #13, meet with the Student Member of the Board of Education (SMOB), and become informed voters for the upcoming SMOB general election.
Community Advisory Council Meeting
Wednesday, April 10, 7 p.m., Department of Education
The CAC will hold its annual election of officers, followed by a presentation by curriculum office staff on the Gifted and Talented program. CAC meetings are open to the public.
2019 Children’s Discovery Fair: Math All Around Me
Saturday, April 13, 10 a.m.-1 p.m., North Laurel Community Center
The public is invited to a free celebration for children ages 3-5 and their families. Participants can explore the wonders of math while engaging in hands-on math themed activities, interactive games, crafts, stories and free dental screenings.
Spring Break Meals
Monday, April 15-Thursday, April 18, 11:30 a.m.-1 p.m., Multiple Locations
Free lunches will be served to children age 18 and under. There is no application, enrollment or cost for this program.
|
|


--- title: "Wireless DMX Transmiter, Wireless DMX" description: 2.4G Wireless DMXTransmiter This is a sort of Wireless DMX Controller (Signal Emission) to receive the DMX signal from DMX console and emit the signal to another Wireless DMX Controller (Signal Receipt) to control the fixture in DMX signal. keywords: - Wireless - DMX - Transmiter - 2.4G ---
|
2.4G Wireless DMX Transmiter |
|||||
|
This is a sort of Wireless DMX Controller (Signal Emission) to receive the DMX signal from DMX console and emit the signal to another Wireless DMX Controller (Signal Receipt) to control the fixture in DMX signal. |
|||||
|
Model Name：512D-W2400 |
|||||
|
① Antenna SMA Connector |
|||||


Lets you select the dress(s) and displays the total at the top of the page.
Finds posts and hashtags based on the data you input. (Used Twitter API)
Spooky Connect-Four. (Created with Jacob Spence and Martin Guzman!)
My game store website with a variety of games to choose from. (Created with Eddrick Butler and Jacob Spence!)


To navigate to the declaration of a class, method or variable used somewhere in the code, position the caret at the usage and press &shortcut:GotoDeclaration;. You can also click the mouse on usages with the Ctrl key pressed to jump to declarations.


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@Deprecated public final class UAX29URLEmailTokenizerImpl34 extends Object implements StandardTokenizerInterface
| Modifier and Type | Field and Description |
|---|---|
static int
|
EMAIL_TYPE
Deprecated.
|
static int
|
HANGUL_TYPE
Deprecated.
|
static int
|
HIRAGANA_TYPE
Deprecated.
|
static int
|
IDEOGRAPHIC_TYPE
Deprecated.
|
static int
|
KATAKANA_TYPE
Deprecated.
|
static int
|
NUMERIC_TYPE
Deprecated.
Numbers
|
static int
|
SOUTH_EAST_ASIAN_TYPE
Deprecated.
Chars in class \p{Line_Break = Complex_Context} are from South East Asian
scripts (Thai, Lao, Myanmar, Khmer, etc.).
|
static int
|
URL_TYPE
Deprecated.
|
static int
|
WORD_TYPE
Deprecated.
Alphanumeric sequences
|
static int
|
YYEOF
Deprecated.
This character denotes the end of file
|
static int
|
YYINITIAL
Deprecated.
lexical states
|
| Constructor and Description |
|---|
UAX29URLEmailTokenizerImpl34
(
InputStream
in)
Deprecated.
Creates a new scanner.
|
UAX29URLEmailTokenizerImpl34
(
Reader
in)
Deprecated.
Creates a new scanner
There is also a java.io.InputStream version of this constructor.
|
| Modifier and Type | Method and Description |
|---|---|
int
|
getNextToken
()
Deprecated.
Resumes scanning until the next regular expression is matched,
the end of input is encountered or an I/O-Error occurs.
|
void
|
getText
(
CharTermAttribute
t)
Deprecated.
Fills CharTermAttribute with the current token text.
|
void
|
yybegin
(int newState)
Deprecated.
Enters a new lexical state
|
int
|
yychar
()
Deprecated.
Returns the current position.
|
char
|
yycharat
(int pos)
Deprecated.
Returns the character at position
pos
from the
matched text.
|
void
|
yyclose
()
Deprecated.
Closes the input stream.
|
int
|
yylength
()
Deprecated.
Returns the length of the matched text region.
|
void
|
yypushback
(int number)
Deprecated.
Pushes the specified amount of characters back into the input stream.
|
void
|
yyreset
(
Reader
reader)
Deprecated.
Resets the scanner to read from a new input stream.
|
int
|
yystate
()
Deprecated.
Returns the current lexical state.
|
String
|
yytext
()
Deprecated.
Returns the text matched by the current regular expression.
|
public static final int YYEOF
public static final int YYINITIAL
public static final int WORD_TYPE
public static final int NUMERIC_TYPE
public static final int SOUTH_EAST_ASIAN_TYPE
See Unicode Line Breaking Algorithm: http://www.unicode.org/reports/tr14/#SA
public static final int IDEOGRAPHIC_TYPE
public static final int HIRAGANA_TYPE
public static final int KATAKANA_TYPE
public static final int HANGUL_TYPE
public static final int EMAIL_TYPE
public static final int URL_TYPE
public UAX29URLEmailTokenizerImpl34( Reader in)
in
- the java.io.Reader to read input from.
public UAX29URLEmailTokenizerImpl34( InputStream in)
in
- the java.io.Inputstream to read input from.
public final int yychar()
StandardTokenizerInterface
yychar
in interface
StandardTokenizerInterface
public final void getText( CharTermAttribute t)
getText
in interface
StandardTokenizerInterface
public final void yyclose() throws IOException
IOException
public final void yyreset( Reader reader)
yyreset
in interface
StandardTokenizerInterface
reader
- the new input stream
public final int yystate()
public final void yybegin(int newState)
newState
- the new lexical state
public final String yytext()
public final char yycharat(int pos)
pos
- the position of the character to fetch.
A value from 0 to yylength()-1.
public final int yylength()
yylength
in interface
StandardTokenizerInterface
public void yypushback(int number)
number
- the number of characters to be read again.
This number must not be greater than yylength()!
public int getNextToken() throws IOException
getNextToken
in interface
StandardTokenizerInterface
IOException
- if any I/O-Error occurs


Its always a struggle to reflect on ones self and their motivations, what drives them to succeed, and what principles define them. For me I hold family and security very high, i wish to succeed in my dreams to help many people, most important to me is my family, but depending on how financially successful i am i would love to help the world. My dreams motivated me to keep going and to venture down certain paths and all of which had led me here. I had dreams to travel so i made it happen and didnt let anyone hold me back,it meant i had to sacrafice and work hard, the same goes for my current dreams but these are on a far bigger magnitue and the learning hurdles are much greater in comparison to saving money to live in the UK for a few years, but that doesnt sway me, theres a saying that goes something like "successful people have failed the most times because there not affraid to take the risk, and failing is a the best way to learn and evolve". I was bought up in a large traditional kiwi home, fish aand chip fridays and roast on sundays with the family, my upbringing on reflection is clear where my family values and identity stem from.
Being goal oreinted is definately a major strength of mine, its also comes as a package of strengths because to to have big goals then you must be patient, dilligent, focused, mentally strong because there are days where nothing will work and you just have to breathe, relax and try again and again...
Limitations are something i honestly try not to even think they exsist. to have a list of limitations which im sure i am limited to certain things but i dont know what my limitations are. I'd like to think there are no limitations for anyone, but this isnt true, i cannot be a pilot because of color blindness, but the path im a choosing i aim for little to no limits at all.
An example of tension while trying to work productively for me is. While studying at otago uni I had a part time job as a cleaner, there was a lady named sally, bad mouthed everybody behind their back and she would claim we where not doing their job to an acceptable standard. the stratigies i used to work with her was to be nice and polite and when she bad mouthed another employee on there work i would say quite the opposite like "she does a great job cleaning the bathrooms". on reflection i think i was a little to passive i should have told her i did not appreciate her talking that way about others and remind her that we are all humans and we all are not perfect.


@(newUser: models.User)(password: String)
@import emails.email_template
@email_template {
You've been invited to join Careers From Here! |
Dear @newUser.getName,
One of the administrators of @newUser.getSchool.getName has invited you to join the Careers From Here website.
They have created a @newUser.getDiscriminator account for you. Your account has already been created,
your password is below:
Password: @password
You can change your password any time by logging into your account. Use this email address and the password above
to log in. Thanks!
Yours,
Careers From Here team
|
}


{{{$dictionary.about.about1}}}
{{{$dictionary.about.about2}}}
{{{$dictionary.about.peercoin1}}}
{{{$dictionary.about.disclaimer1}}}
{{{$dictionary.about.credits1}}}
{{{$dictionary.about.credits2}}}
{{{$dictionary.about.credits3}}}


In the first infographic, I visualized how Lionel Messi performed throughout his career. It was not just about the design techniques but during the information gathering phase, I had an opportunity to learn about things I didn’t know. Messi used score with his hand, for example.
In the second infographic, I illustrated the development of Lumia phone in one single picture. I love the color of this design much more than the Messi one.
I unfortunately did not win any prize at all with these two pictures, anyway, both of them were just my attempts, it was not necessary to problematize.


Product Version
The Version of the Click-to-Run product to installation
Optional. If a Version value is not set, the Click-to-Run product installation streams the latest available version from the source. The default is to use the most recently advertised build (as defined in v32.CAB or v64.CAB at the Click-to-Run Office installation source).
Version can be set to an Office 2013/2016 build number ex 16.0.6366.2036
For more information on the specific versions of Office 365 ProPlus (2013) see Update Office 2013 or Office 365
For Office 365 ProPlus (2016) versions see Office 365 client update branch releases


Successfully connected to websocket
Disconnected
This page simulates a server side event. Clicking here to see the device status change in any open page.


Smart pendant aiming at providing safety to women in cases of emergency in a 36 hour hackathon.
CanSat
Developing a miniature can size satellite for logging bio signs at an altitude of 1Km and participated in Cansat 2019 Competition.
Smart Parking
Solved Parking Problem in my college using IoT sensors and computer Vision.
Smart Agriculture
Applied Agro based and monitored soil profile using Array of sensors and NodeMCU.
Made whole network as Low cost solution to monitor growth of Marigold flower.
edler.ly
Developed a alternative to Ambulance, If ambulance can’t reach in time Uber,
Ola will be automatically booked to save time and bring Patient to nearest Hospital.Live Video assistance will also be there.
Home Automation
Developing an efficient IOT device to control the lights and fans of a room using a web application.


We’ll present large-scale electrical effects from the subtle to multi-megavolt discharges. Free to the public.
Note that we'll postpone the demo for rain or high winds. Be sure to dress warmly, and bring a chair if you wish. Please check our twitter page for cancellations on the day of the event, before heading to the site!


Before Change
close = openers[open].close or ""
return "".join(map(unparse_latex, l)) + close
trivial_math_re = re.compile(r"@?[\d.,]*(\\%|%)?")
def xmlify_string(s):
Convert output of parse_latex into an XML string.
It does *not* escape <, >, and &.
After Change
return s
math_table = {r"\sim": r"\textasciitilde"}
for c in list(".,@%~") + [r"\%"]:
math_table[c] = c
def flatten_trivial_math(node):
Convert math that doesn"t really need to be math into text.
def visit(node):
if isinstance(node, str):


My Favorite Exploit
XSS (Cross Site Scripting) is my personal favorite security hole. It's everywhere, on almost every site, and it's fun to exploit!  In addition to that I did most of my testing manually. There are tools built to automate most XSS vulnerability tests, but that's no fun. This hacking spree taught me the foundations of JavaScript and web development in general. By developing intricate tunnel exploit schemes I learned so much about how the web operates at the user level and how bugs enable hackers to get in.
My endeavours got my name here: Google Security Hall Of Fame
Which led me to create this: https://gallery.zolmeister.com/ (click the page)
That page is my XSS gallery. The images are the websites favicons, with size relative to their ranking. I have saved nearly every one of the XSS vulnerabilities I have found by hand, which is now over 200. Most of the sites are ones that were unhelpful or just pissed me off in general and so I took a few minutes to find an XSS vulnerability in them (I almost never report these vulnerabilities). Some however (the big icons) are ones where I started at the top of a list of most popular sites and moved my way down, collecting vulnerabilities along the way. It's pretty scary actually, knowing that even the most high profile sites are vulnerable.


Computes log Poisson loss given log_input
.
tf.compat.v1.nn.log_poisson_loss
tf.compat.v2.nn.log_poisson_loss
tf.nn.log_poisson_loss( targets, log_input, compute_full_loss=False, name=None )
Gives the log-likelihood loss between the prediction and the target under the assumption that the target has a Poisson distribution. Caveat: By default, this is not the exact loss, but the loss minus a constant term [log(z!)]. That has no effect for optimization, but does not play well with relative loss comparisons. To compute an approximation of the log factorial term, specify compute_full_loss=True to enable Stirling's Approximation.
For brevity, let c = log(x) = log_input
, z = targets
. The log Poisson
loss is
-log(exp(-x) * (x^z) / z!) = -log(exp(-x) * (x^z)) + log(z!) ~ -log(exp(-x)) - log(x^z) [+ z * log(z) - z + 0.5 * log(2 * pi * z)] [ Note the second term is the Stirling's Approximation for log(z!). It is invariant to x and does not affect optimization, though important for correct relative loss comparisons. It is only computed when compute_full_loss == True. ] = x - z * log(x) [+ z * log(z) - z + 0.5 * log(2 * pi * z)] = exp(c) - z * c [+ z * log(z) - z + 0.5 * log(2 * pi * z)]
targets
: A Tensor
of the same type and shape as log_input
.log_input
: A Tensor
of type float32
or float64
.compute_full_loss
: whether to compute the full loss. If false, a constant
term is dropped in favor of more efficient optimization.name
: A name for the operation (optional).A Tensor
of the same shape as log_input
with the componentwise
logistic losses.
ValueError
: If log_input
and targets
do not have the same shape.


|
| | MapBase () |
| |
| virtual | ~MapBase () |
| |
| template<order::spec t = order::in> |
| kernel_pair_t | link (raft::kernel *a, raft::kernel *b, const std::size_t buffer=0) |
| |
| template<order::spec t = order::in> |
| kernel_pair_t | link (raft::kernel *a, const std::string a_port, raft::kernel *b, const std::size_t buffer=0) |
| |
| template<order::spec t = order::in> |
| kernel_pair_t | link (raft::kernel *a, raft::kernel *b, const std::string b_port, const std::size_t buffer=0) |
| |
| template<order::spec t = order::in> |
| kernel_pair_t | link (raft::kernel *a, const std::string a_port, raft::kernel *b, const std::string b_port, const std::size_t buffer=0) |
| |
MapBase - constructor, really doesn't do too much at the monent and doesn't really need to.
mapbase.cpp -
- Author
- : Jonathan Beard
- Version
- : Fri Sep 12 10:28:33 2014
Copyright 2014 Jonathan Beard
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at:
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
join - helper method joins the two ports given the correct information. Essentially the correct information for the PortInfo object is set. Type is also checked using the typeid information. If the types aren't the same then an exception is thrown.
- Parameters
-
- Exceptions
-
template<order::spec t = order::in>
link - this comment goes for the next 4 types of link functions, which basically do the exact same thing. The template function takes a single param order::spec which is exactly as the name implies, the order of the queue linking the two kernels. The various functions are needed to specify different ordering types each of these will be commented separately below. This function assumes that Kernel 'a' has only a single output and raft::kernel 'b' has only a single input otherwise an exception will be thrown.
- Parameters
-
- Exceptions
-
- Returns
- kernel_pair_t - references to src, dst kernels.
assume each only has a single input / output
template<order::spec t = order::in>
link - same as function above save for the following differences: kernel a is assumed to have multiple ports and the one we wish to link with raft::kernel b is a_port. raft::kernel b is assumed to have a single input port to connect otherwise an exception is thrown.
- Parameters
-
- Exceptions
-
- Returns
- kernel_pair_t - references to src, dst kernels.
template<order::spec t = order::in>
link - same as above save for the following differences: raft::kernel a is assumed to have a single output port. raft::kernel b is assumed to have more than one input port, within one matching the port b_port.
- Parameters
-
| a | - raft::kernel*, with more a single output port |
| b | - raft::kernel*, with input port named b_port |
| b_port | - const std::string, input port name. |
- Exceptions
-
- Returns
- kernel_pair_t - references to src, dst kernels.
template<order::spec t = order::in>
link - same as above save for the following differences: raft::kernel a is assumed to have an output port a_port and raft::kernel b is assumed to have an input port b_port.
- Parameters
-
| a | - raft::kernel*, with more a single output port |
| a_port | - const std::string, output port name |
| b | - raft::kernel*, with input port named b_port |
| b_port | - const std::string, input port name. |
- Exceptions
-
- Returns
- kernel_pair_t - references to src, dst kernels.
| kernelkeeper MapBase::all_kernels |
|
protected |
and keep a list of all kernels
| kernelkeeper MapBase::dst_kernels |
|
protected |
| kernelkeeper MapBase::source_kernels |
|
protected |
need to keep source kernels
| std::vector< MapBase* > MapBase::sub_maps |
|
protected |
FIXME: come up with better solution for enabling online duplication of submaps as a unit.
DOES: flatten these kernels into main map once we run
The documentation for this class was generated from the following files:


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Mar 2 Update: There are more showcase items coming and they'll have more detail (aside from just being lifted from a slide deck), however my motivation to do so is pretty low right now.
I recently started working with Auth0 to help them build and scale a Research team from scratch, so a) this portfolio is fairly useless for the immediate future, and b) most of my time and energy will be spent there.
I would suggest following along the blog in the meantime, as I'll be writing a lot about my work there 😁.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/filename.20tactic.html ---
Is there a tactic (or way to write a tactic) which returns the filename (and line/col number would be better) of the file it is being run in? I want the file to be the entry point file with the begin ... end
block or by
block. This might be too much to ask for, but it doesn't hurt to ask.
If that is not possible or even if it is: Is there a way to label traces with the filename (when being run from the command line). The error messages are labeled with the file name, e.g.:
/tmp/tmp_lean_project/src/test.lean:3:0: error: tactic failed, there are unsolved goals state: ⊢ true
Can one do the same for traces?
Have a look at env.decl_olean decl_name
.
That requires that you know a declaration made in the current file. Hopefully there is something better.
Actually, read the linters, they must do this.
But it doesn't return anything for declarations in the current file.
Seems so, it only uses env.decl_olean
.
I mean, as a terrible hack you can synthesize a new declaration, then use decl_olean
to find the file it was defined in... :nauseated:
I thought about trying to generate a warning, since those are also labelled with the position, but I couldn't figure out a way to make it happen. If you were at top level, it would be doable.
Scott Morrison said:
I mean, as a terrible hack you can synthesize a new declaration, then use
decl_olean
to find the file it was defined in... :nauseated:
I tried this and it doesn't work because there is no location information for declarations in the current file (the name decl_olean
is a hint)
Ah!
though I don't see why Lean couldn't provide it in principle
decl_pos
also returns nothing
What does "top level" mean here? Outside of any definition, theorem, etc?
Yes, where you could put a top-level command
For example, #eval false
Hmm, thinking outside the box, if you're willing to interact with Lean through the server interface, you could obtain location information that way
It can be as simple as feeding Lean the whole file as a batch
then use a tactic which invokes trace
Our editors know where to put the trace, so it must be in the server output
Yeah, what I'm working on now isn't using the server. Worse case, I can run each file individually.
Are you using lean --make
?
I don't know whether it is compatible with --server
Probably lean filename
or lean --make filename
.
Curious, how do you add warnings at the top level?
#eval false
was an example. I'm not sure if you can avoid the extraneous output.
you can use lean --run
to read a lean file and put #eval main
at the bottom
Last updated: Apr 24 2020 at 19:02 UTC


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Results
⚠ Our paper outlines
important limitations for the interpretation of
results. These limitations include:
- We use AutoML framework versions from September 2021, many frameworks have since seen major updates.
- We use the "benchmark" modes of the frameworks, which generally only optimize for performance. Most AutoML frameworks have multiple modes to support different use cases.
- Results can not be used to make conclusions about which algorithm is best, as all frameworks differ in multiple ways.
- Performance statistics are often independent from many qualitative differences, such as ease of use or interpretability.
All results are available as
raw files
📂, but we open source the tools we used for generating the figures in
our paper. The best way to explore the results is through our
interactive
Shiny app. It loads the latest results by default. It is also possible to use
our
notebooks
which contain additional visualizations.


{% extends "home-page.html"%} {% block title %}Team Project Members{% endblock %} {% block page_content%}


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Cartoon Antique Telescope
by PixelSquid360
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3D Paintbrush Stroke
by PixelSquid360
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Classic Armchair
by PixelSquid360
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Pumpkin Patch
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Welcome to our portfolio!
By @elshaka & @fdezcaminero
Facebook project
We have this idea where you can share your life online!
Apple Computers
We're thinking: Hey! Artists need computers too!
Cloud Cuckooland
"Never stay up on the barren heights of cleverness... Rather, come down to the green valleys of silliness"


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A convenient port when transiting Le Chenal de Four. Situated at the entrance to the Rade de Brest at the southern end of the Chenel.
Position 48° 16.9' N, 4° 35.2' W.
Camaret-sur_Mer Vauban Tower © J. Cayley
Update May 2015: The damage caused by the gales in winter 2013-2014 to the pontoons in both marinas has been repaired and boats can berth normally.
Port Vauban, just inside the northern breakwater, is the usual berth for visiting craft .
The inner part of the harbour is closer to the town and offers a greater degree of shelter in very strong winds. There are two berthing areas here; Port Styvel, adjacent to the causeway, is for local boats only and Port du Notic, south of Port Styvel, may have some visitors berths although it is unknown when the damage here will be repaired.
During the summer, there are also 20 or so of white visitors' buoys outside Port Vauban.
Last updated May 2015.


Base class of the Heuristics Plugin. More...
Go to the source code of this file.
Classes | |
| class | Heur |
Functions | |
| def | heurfree (self) |
| def | heurinit (self) |
| def | heurexit (self) |
| def | heurinitsol (self) |
| def | heurexitsol (self) |
| def | heurexec (self, heurtiming, nodeinfeasible) |
Variables | |
| heurdata = SCIPheurGetData(heur) | |
| PyHeur = <Heur>heurdata | |
| def | result_dict = PyHeur.heurexec(heurtiming, nodeinfeasible) |
Base class of the Heuristics Plugin.
Definition in file heuristic.pxi.
| def pyscipopt.heuristic.heurfree | ( | self | ) |
calls destructor and frees memory of primal heuristic
Definition at line 7 of file heuristic.pxi.
| def pyscipopt.heuristic.heurinit | ( | self | ) |
initializes primal heuristic
Definition at line 11 of file heuristic.pxi.
| def pyscipopt.heuristic.heurexit | ( | self | ) |
calls exit method of primal heuristic
Definition at line 15 of file heuristic.pxi.
| def pyscipopt.heuristic.heurinitsol | ( | self | ) |
informs primal heuristic that the branch and bound process is being started
Definition at line 19 of file heuristic.pxi.
| def pyscipopt.heuristic.heurexitsol | ( | self | ) |
informs primal heuristic that the branch and bound process data is being freed
Definition at line 23 of file heuristic.pxi.
| def pyscipopt.heuristic.heurexec | ( | self, | |
| heurtiming, | |||
| nodeinfeasible | |||
| ) |
should the heuristic the executed at the given depth, frequency, timing,...
Definition at line 27 of file heuristic.pxi.


Let Sn be an integer sequence produced with the following pseudo-random number generator:
| S0 | = | 290797 |
| Sn+1 | = | Sn2 mod 50515093 |
Let A(i, j) be the minimum of the numbers Si, Si+1, ... , Sj for i j.
Let M(N) = ΣA(i, j) for 1 i j N.
We can verify that M(10) = 432256955 and M(10 000) =<PHONE_NUMBER>119.
Find M(2 000 000 000).


A Famous Stone Collector
问题描述 :
Mr. B loves to play with colorful stones. There are n colors of stones in his collection. Two stones with the same color are indistinguishable. Mr. B would like to
select some stones and arrange them in line to form a beautiful pattern. After several arrangements he finds it very hard for him to enumerate all the patterns. So he asks you to write a program to count the number of different possible patterns. Two patterns are considered different, if and only if they have different number of stones or have different colors on at least one position.
select some stones and arrange them in line to form a beautiful pattern. After several arrangements he finds it very hard for him to enumerate all the patterns. So he asks you to write a program to count the number of different possible patterns. Two patterns are considered different, if and only if they have different number of stones or have different colors on at least one position.
输入:
Each test case starts with a line containing an integer n indicating the kinds of stones Mr. B have. Following this is a line containing n integers – the number of
available stones of each color respectively. All the input numbers will be nonnegative and no more than 100.
available stones of each color respectively. All the input numbers will be nonnegative and no more than 100.
输出:
Each test case starts with a line containing an integer n indicating the kinds of stones Mr. B have. Following this is a line containing n integers – the number of
available stones of each color respectively. All the input numbers will be nonnegative and no more than 100.
available stones of each color respectively. All the input numbers will be nonnegative and no more than 100.
样例输入:
3 1 1 1 2 1 2
样例输出:
Case 1: 15 Case 2: 8HintIn the first case, suppose the colors of the stones Mr. B has are B, G and M, the different patterns Mr. B can form are: B; G; M; BG; BM; GM; GB; MB; MG; BGM; BMG; GBM; GMB; MBG; MGB.
题目大意：给n堆不同颜色的石头，给定每堆石子的数量，问，能够组成多少串满足：
Two patterns are considered different, if and only if they have different number of stones or have different colors on at least one position.
解题思路：开始的时候没有思路，想各种组合数学知识，最后，突发奇想，会不会是dp??对，就是dp
dp[i][j] 表示前i堆石子构成长度为j的串的方案数；
状态转移方程是：k为i堆使用的数量
dp[i][j] = (dp[i][j] + dp[i-1][j-k] * C[j][k]%M)%M;
ok问题解决，让我费了不少时间的是c[j][k]（组合数）不是很好想。
code：
#include <iostream> #include <stdio.h> #include <string.h> #include <algorithm> using namespace std; #define M<PHONE_NUMBER> long long dp[110][10010]; long long C[11000][110]; void cc() { int i,j; C[0][0]=1; for(i=1;i<10010;i++) for(j=0;j<=100;j++) if(j == 0) C[i][j] = C[i-1][j]; else C[i][j] = (C[i-1][j]+C[i-1][j-1])%M; //C[i][j]=(j==0) ? C[i-1][j] : (); } int main() { cc(); int n; int cas = 1; while(cin >> n) { memset(dp,0,sizeof(dp)); dp[0][0] = 1; int sum = 0; for(int i = 1;i <= n;i++) { int t; cin >> t; sum += t; for(int k = 0;k <= t;k++) for(int j = k;j <= sum;j++) dp[i][j] = (dp[i][j] + dp[i-1][j-k] * C[j][k]%M)%M; } long long re = 0; for(int i = 1;i <= sum;i++) re = (re + dp[n][i])%M; cout << "Case " << cas++<< ": " << re << "\n"; } return 0; }
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参考：http://blog.csdn.net/wukonwukon/article/details/8160920
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海绵宝宝到珊迪的家，就是这个装备


After spending some time reading up on Salvia, I decided last week to finally try it. I purchased a gram of “Club 13” 10x strength extract from a local head shop. At home, I prepared my living room for the experience: laying down blankets, pillows, lighting incense, candles, etc. While I always savor music on psychedelics, I kept the volume barely above a whisper. I should mention that prior to this I had smoked anywhere between 3 and 5 bowls of cannabis through a vaporizing pipe over the course of 4 hours.
Of concern to me was the fact that I did not have a sitter. On the one hand, I consider myself fairly adept at navigating different states of consciousness, and felt I would be able to remain safe. On the other hand, I’ve read enough accounts of experienced people losing their grip on this stuff, and warning not to do it alone. Because of this I smoked a very small amount, about 1/8 of a gram, from a glass piece to start with, just to wet my feet a little.
This initial experience was curious. It began with a faint light-headedness followed by a soft, somewhat furry numbness beginning above my eyes and gradually cascading downwards, tailoring off around the top of my chest. This was followed by a slight vision distortion, in which everything I looked at appeared as though it were painted on the surface of the ocean. Images, structures, and to a small extent spatial depth itself took on this undulating, almost 2-dimensional quality. I began drawing, and was tickled to find that despite the ebb and flow of my pen and paper I could still stay within the lines. After approximately 10 minutes of this, the sensations lessened and finally dissipated, and I could sense a sizable headache coming on-to what extent this was due to the Salvia, the cannabis, or the combination I am uncertain.
About 3 hours later I decided to take an effective dose (1/6 gram, according the package instructions). Earlier I’d constructed a gravity bong, per the recommendations of Terence McKenna (“This does not fail”). I positioned myself such that after taking the hit I could easily lay backwards onto the pillows. I readied the bong, lifted the liter soda bottle until it was full of smoke, then removed the bowl and took the full hit, holding it in my lungs for the prescribed 30 seconds. Upon exhalation I reclined back onto the floor pillows and closed my eyes. Again, it began with the lightheadedness followed by a numbing sensation, only this time it spread down over my body. I became acutely aware of the interface between my body and the earth’s gravity: the image that arose was being “stuck to the skin of the stone”, and I felt as much upside down as I would normally feel right side up.
Beneath my eyelids visualizations of a vegetative texture revealed themselves. It was as though I found myself inside a tunnel—if I focused straight ahead it was mostly blackness, with sharp edged olive leaf-like objects climbing along the tunnel’s periphery. Also, if I remained focused forward, there was no sense of motion—all was still. However, if I shifted my focused to the side, suddenly I would realize that I was in fact moving at a terrific speed, as evidenced by the rapid transitioning growth of the vegetation. This vine-like texture appeared to be the sides of the tunnel, whizzing past me. However I only needed to return to focusing “forward” to cease all sensation of movement, as there I could only sense an oddly liquid blackness punctuated by occasional dots, blips, and other rather common, every day closed eye phenomenon.
I soon discovered that if I focused on the sides of the tunnel long enough, eventually the rapidly growing vegetation would begin to part, and I would feel myself moving forward and “peeking in”. What I found there was most extraordinary and curious: past events of my life, more than mere memories were there to be witnessed. I say “more than memories” because our memories are always subjectively colored; this was an objective rendering of the event. For example, seeing myself being playfully chased after by my dad at the end of a backyard kickball game when I was 8 was presented with a third person perspective and without any emotional, nostalgic, or contemplative depth. I continued to “poke my focus” in and out of the vegetation at random, and continued to revisit an amazingly random set of pictorial memories—some that were vaguely familiar, and others completely forgotten about until just at that moment.
Eventually, I looked in and saw a recent memory involving my 2 year old daughter. This delighted me, and without conscious intent I leaned my focus even closer into the picture of this memory. I was astonished to find that by moving closer, I was now able to access some of the more subjective aspects of the event—positive emotions, gratitude, wonder. Also now accessible were recollections of textures in the environment, smells, and sounds. I want to clarify that I was not exactly “re-experiencing” these phenomena as I was remembering the experience of them.
This struck me as a completely realized form of time travel. That with practice, one may be able to localize and touch upon desired memories for all kinds of different purposes. From a therapeutic standpoint, there would be enormous potential for developing a more sophisticated, integrative understanding of difficult past events, without the risk of re-living an experience so as to cause further distress. It was this last idea that hinted at what I felt was an important characteristic of the Salvia—a professor-like indifference to the emotional aspects of the experience. This is not to mean that I was without emotion, only that the process of this plant did not seem inclined to reveal any disposition to me one way or the other. This kept any emotion I experienced in check. Whether I was delighted or terrified, the vines speeding along through time responded with a somewhat distracted “whatever.”
As the experience lessened in intensity I opened my eyes. Roughly twenty minutes had passed, and that seemed very short to me considering what I’d gone through. I smoked some more cannabis and contemplated this experience, and it struck me that as involved as I was, at no point was there any sense of being out of control or utterly enveloped by the process. I always felt that at any point I could have opened my eyes and shaken it off. Also, at no point did I forget I’d smoked the Salvia. These two aspects were very different from most of the strong trips I’d read about.
This brings me to the third and last time I tried it. This was the next evening. I was drawing again in my living room, and had not yet taken any substances into my body. I was about to smoke some cannabis when I instead decided to smoke a smaller dose of the extract. My thinking was I wanted that “wavy” experience again for the part of the drawing that I was doing. So I sprinkled a little less than 1/6 gram into a regular glass piece, and walked over by the open window to smoke it before returning to the drawing. I inhaled, and held for 30 seconds.
The next thing I experienced was sudden and sharp. The metaphor that fits it most accurately is that, upon exhalation, it was as though a giant, invisible viper bit me directly upon my lips. My entire body went suddenly numb and an icy cold rush flooded my face and throat. I tasted the plant more distinctly then the previous two times. I staggered back from the couch, and at that moment felt my consciousness “flip”. By flip, I mean there was a physical sensation of something within my center quickly turning upside down, and my familiar sense of “me” “slid off” and what “slid on” was the consciousness of some other being. This being was now observing me from about 2 feet away, and this was the view I was being afforded.  Meanwhile, the “other’s” thoughts were my thoughts, and I heard them say:
“Oh, he did it. He did it for real. This time he did it and he’s at home and there he is. He really did it.”
I saw myself (my body) look up to the space where this other was, where my perspective was currently embedded within. In other words, I watched myself look up at me (but I wasn’t me).
I (the other) watched my body take a deep breath and then there was another “flip”. Suddenly I was looking down at the drawing in front of me. I was back in my body. I looked up and saw something, and “something” is really all I can call it. It was a blurred part of space, as though someone had tried to wipe clean something from my field of vision with a dirty eraser. I looked away from this image and focused on my drawing, and began chanting a mantra to assuage the fear that was coursing through me. Visually, the drawing was unchanged; however the periphery of the thing, of my vision in general, was snaking and twisting like the vegetative tunnel sides from the night before. After about 10 minutes I felt normal enough to stand up and throw water on my face.
It is now several days later and I’ve been thinking a lot about these experiences. I’m wondering if it took those first two sessions for my body to get prepared for what happened the third time. I recalled long ago when the first five or six times I smoked cannabis, it was effective but in no way overwhelming. Then suddenly it took on a whole new nature and I’d be totally loaded.
What these experiences have left me with is a deepening curiosity about what this plant is here to teach us. I am hoping in the near future to have the opportunity to try higher doses with a sitter present.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Swedish Word List
Remember, if you want to say "the cat" instead of "a cat", you must end the word in "en"! In this example, the word "Katt" would become "Katten".
| English Animals | Swedish Translation |
|---|---|
| Cat | Katt |
| Mouse | Mus |
| Animal | Djur |
| Dog | Hund |
| Bird | Fågel |
| Spider | Spindel |
| Horse | Häst |
| Bear | Björn |
| Elk | Älg |
| English Numbers | Swedish Translation |
|---|---|
| One | En/Ett |
| Two | Två |
| Three | Tre |
| Four | Fyra |
| Five | Fem |
| Ten | Tio |
| Eleven | Elv |
| Twelve | Tolv |
| Thirteen | Tretton |
| Fourteen | Fjorton |
| Fifteen | Femton |
| Twenty | Tjugo |
| Thirty | Trettio |
| Fourty | Fyrtio |
| Fourty One | Fyrtioett |
| Fourty Two | Fyrtiotvå |
| Fifty | Femtio |
| Sixty | Sextio |
| Seventy | Sjuttio |
| Eighty | Åttio |
| Eighty Nine | Åttionio |
| English Colours | Swedish Translation |
|---|---|
| Yellow | Gul |
| Red | Röd |
| White | Vit |
| Orange | Orange |
| Purple | Lila |
| Blue | Blå |
| Brown | Brun |
| Green | Grön |
| Grey | Grå |
| Black | Svart |
| English Food | Swedish Translation |
|---|---|
| Fish | Fisk |
| Egg | Ägg |
| Chicken | Kyckling |
| Orange | Apelsin |
| Coffee | Kaffe |
| Fruit | Frukt |
| Breakfast | Frukost |
| Sugar | Socker |
| Beef | Nötkött |
| Strawberry | Jordgubbe |
| Lemon | Citron |


CSCI 4250/8256 - Human-Computer Interaction
Fall 2012
| Meeting time: | TR 4:00-5:15 |
| Classroom: | PKI 261 |
| Instructor: | Dr. Harvey Siy |
| Office: | PKI 281B |
| Phone: |<PHONE_NUMBER> |
| Office Hours: | By appointment (call or email in advance) |
| Email: | hsiy at unomaha dot edu |
| Textbooks: |
Alan Dix, Janet E. Finlay, Gregory D. Abowd, Russell Beale.
Human-Computer Interaction, 3rd Edition, Prentice Hall, 2003
|
|
Donald Norman. The Design of Everyday Things, Basic Books, 2002
|
| (optional) |
Robert W. Proctor, Trisha Van Zandt.
Human Factors in Simple and Complex Systems, 2nd Edition, CRC Press, 2008
|
Description
Human-computer interaction is concerned with the joint performance of tasks by humans and machines, human capabilities to use machines, and how machines interact with humans.
The course also examines the theoretical underpinnings of the HCI discipline.
Learning Objectives
Students who complete this course should:
- have a good grasp of how people process and act on information
- have an overview of the technical capabilities and limitations of today's interaction devices
- understand how interaction can be modeled and measured
- be acquainted with the major cognitive theories with respect to human-computer interaction
Topics covered
- Human information processing
- Perception
- Cognition
- Action
- Input/output devices
- Modeling interaction
- Measuring interaction
- Ergonomics
- Advanced topics
- Information visualization
- Information exploration
- Human aspects of software engineering
Prerequisites
Required:
Software Engineering (CSCI 4830) - may be taken concurrently
Recommended:
Event-driven programming experience
Lectures
(See BlackBoard for current list.)
Evaluation
Students taking the class as CSCI4250 will be evaluated as follows:
| Participation | 25% |
| Homeworks | 20% |
| Project | 25% |
| Exams | 30% |
Students taking the class as CSCI8266 will be evaluated as follows:
| Participation | 15% |
| Homeworks | 15% |
| Project | 25% |
| Exams | 30% |
| Research paper | 15% |
Participation
Throughout the semester, there will be various opportunities for participation in classroom activities, including interactions during lectures, structured discussions, demos, measuring human information processing performance, etc. Try your best to participate in all activities.
There may also be an opportunity to participate in a cognition experiment. More details later.
Homeworks
Some assignments will revolve around readings of research papers as well as book chapters from The Design of Everyday Things. Some class discussion sessions will be based on these assignments.
Policy on late homeworks
- For assignments to be used in class discussions: Late submissions will receive a 50% deduction per day if submitted after the class discussions have been conducted.
- For other types of assignments: Late submissions will get a 20% deduction per day, for each day past the due time (as timestamped on Blackboard).
- Paper submissions must be handed directly to me on the day it is due.
Project
There will be a small- to medium-sized programming project. The theme of the project is "Unconventional Interactions." The idea is to experiment with modern devices that enable users to interact with systems in ways other than the standard GUI and keyboard/mouse combo.
Examples include applications that make use of body gestures, voice recognition, image recognition, motion recognition, eye tracking, light and sound sensing, etc.
Exams
Exam dates:
- Midterm - October 11 (tentative)
- Finals - December 13, 4:00PM
Graduate Student Research Paper
Students taking the class as CSCI8256 will also write a paper on an advanced topic in an area related to HCI. Each student must also make a 20-minute presentation on their paper near the end of the semester.
Academic Integrity
Cheating will not be tolerated for project assignments, exams and other assignments. For formal policies about cheating and plagiarism, consult the UNO Student Policies and Department of Computer Science Policies and Procedures (see below).
CS Department Policy on Cheating and Plagiarism
The general university policies on cheating and plagiarism apply within the department. Unless otherwise specified by an instructor, student work shall represent only the individual effort of that student, with portions of that work done by others given appropriate attribution. If a group effort is explicitly permitted or required by the instructor for one or more assignments, then the instructor shall indicate which part(s) of the assignment must be completed on an individual basis, if any.
If an instructor believes a student has plagiarized the work of another (regardless of whether the other person is a student in the same section/class or not), or represented as their own work that which another person produced (whether on a paid basis or not), then that instructor shall inform the student of the suspicion. The student shall be given an opportunity to explain, if they wish, why the work was not plagiarized. If after such student explanation the instructor still believes the work was plagiarized, the instructor has the responsibility for assigning an evaluation to the work that is substantially lower than if the work had not been completed at all. The department chair will be notified for the action. If the student whose work being copied or plagiarized knows the fact but does not take a proper action, the student will be held responsible the same as the copying or plagiarizing student.
If a second occurrence of plagiarism is evidenced for the same student, the instructor has the responsibility of assigning a grade of F to the student for the course and informing the registrar’s office that the student will not be permitted to withdraw from the course. Both the department chair and the college dean will be notified for the action.
Repeated occurrences of plagiarism (in multiple courses) by the same student shall result in notification of the Vice Chancellor for Academic Affairs and/or the Graduate Dean, as appropriate, from the department chair or the college dean, and possible dismissal of the student from the program.


My name is Timothy Kuebler and I am a student at UCF for the Coding Bootcamp. Outside of coding I enjoy anything dealing with cars as well as playing guitar and going to concerts. Please follow this link to see my working Portfolio of the material I've covered in my Coding Bootcamp.