|
It
Wasn't Me
(Shaggy) |
|
[Intro]
Yo, man Yo Open up, man Yeah, what do you want, man? My girl just caught me You let her catch you? I don't know how all of this happened With who? The girl next door, ya know?  Just a sign of weakness, only unclean on your pillow Ya better watch your back before she turn into a killer Best to view the situation that she'll call, there'll be no To be a true player ya haffa know how fi play If she stay all night, convince her stay all day Never admit to a word when she say And she claim how you tell her baby, no way But she caught me on the counter (Wasn't me) Saw me banging on the sofa (Wasn't me) I even had her in the shower (Wasn't me) She even caught me on camera (Wasn't me) She saw the marks on my shoulder (Wasn't me) Here's the words that I told her (Wasn't me) As the screams get louder (Wasn't me) She stayed until it was over Honey came in and she caught me redhanded Creepin' with the girl next door Picture this, we were both buck naked Banging on the bathroom floor I had tried to keep her from what She was about to see Why should she believe me When I told her it wasn't me [Shaggy] Next?? And ever you should see ya make the jiggilo flex As part as a favor you another complex Seein' is believin' so you better change your specs You know she are gon' bring up Worrying about things upon the past How to make a livin', and she'll bet on you famous Wait for ya answer, no offer time But if she back out on you, know ya better run fast But she caught me on the counter (Wasn't me) Saw me banging on the sofa (Wasn't me) I even had her in the shower (Wasn't me) She even caught me on camera (Wasn't me) She saw the marks on my shoulder (Wasn't me) Here's the words that I told her (Wasn't me) As the screams get louder (Wasn't me) She stayed until it was over Honey came in and she caught me redhanded Creepin' with the girl next door Picture this, we were both buck naked Banging on the bathroom floor Wanna tell you that I'm sorry For the pain that I've caused I've been listening to your reason It makes no sense at all People tell her that I'm sorry For the pain that I've caused You may think that you're a player But you're completely Honey came in and she caught me redhanded Creepin' with the girl next door Picture this, we were both buck naked Banging on the bathroom floor How could I forget that I had Given her an extra key All this time she was standing there She never took her eyes off me |


Search Wikipedia
or may be just read a random article?
Soumitra Varindra Chakravarti. Made for freeCodeCamp


Understanding your girl friend
As a famous saying goes,
"Appearance doesn't matter, what matters is what's inside."
hence the appearance of this website.


A client querying any heroic node in a federation will cause it to fan out to all known shards and merge the result.
Federations tries to be as transparent as possible in the face of problems. Each request that fans out to a shard has the potential to fail, preventing that data to become unavailable.
In the face of errors, successful shards will be returned as normal. The failing shards will be specifically reported as such, and it is left to the client to decide what to do next.


Chocolate Pizza
POSTED ON 15 DEC 2013 / DESSERTS
PRINT
- For the fig-swirl: Melt butter over medium heat in a saucepan. Add brown sugar and stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat, stirring frequently, until you have a chunky-jammy mixture. Add salt with one or two stirs, set aside and let cool completely.
- Ice cream: In a small pot over medium heat, combine milk, and granulated sugar until sugar is completely dissolved and the milk is just barely lukewarm. Whisk in the egg yolks. Set mixture in the fridge and wait until the fig mixture is cooled.
- Using an ince cream machine, pour liquids into the frozen basin and process according to the manufacturer instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture, and the nuts. Continue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass tupperware. Freeze for at least two hours before serving.
- 1/2 cups milk
- 1/2 cup marscapone
- 1/2 tsp pink salt
- 1 lb Black Mission Figs
- 1/2 cup brown sugar
- 2-4 tbsp water
- 1 1/2 cups heavy cream
-
1/3 granluated sugar -
2 egg yolks - 1 lemon, juiced
- 1 tbsp butter
- 1 cup honey roasted pecans, roughly
- chopped
Vanessa Stevenson
Food enthusiast, photography fan. Add a pinch of raw foodism and that's pretty much who I am.


If you’re interested in working with me – either professionally or in the community – please feel free to get in touch.
You can download my full resume below.


Choose Your Seattle Adventure
-
Bellingham
We love this place. We love this place. We love this place. We love this place.
-
Metroplitan Museum
We love this place. We love this place. We love this place. We love this place.
-
Seattle Center
We love this place. We love this place. We love this place. We love this place.
-
City Hall
We love this place. We love this place. We love this place. We love this place.
-
The Big Wheel
We love this place. We love this place. We love this place. We love this place.
Welcome to Seattle
Your Adventure Begins Here
Welcome to our Adventure in Seattle game! If you choose to play, you'll be led on a virtual adventure around the city, to see whichever sights you'd like to see.
You'll learn fun facts and trivia about each location along the way. At the end, you'll have a memento from your trip based on where you decided to go! Enjoy your time, hope you love Seattle!


Audi A4 facelift launched at Rs 42 lakh
by Jaiveer MehraCalled the A4 Quick Lift, the updated luxury sedan gets styling tweaks, added equipment and is available with a 1.4-litre, turbo-petrol engine.
Audi has launched an A4 facelift in India priced at Rs 42 lakh for the Premium Plus trim and Rs 45.55 lakh for the fully loaded Technology trim. The carmaker is calling the updated model the A4 Quick Lift. Available solely with the 1.4-litre, turbo-petrol unit from the model it replaces, the updated luxury sedan comes with cosmetic updates to the exterior and a revised equipment list.
Cosmetic changes include revised front and rear bumpers along with revised alloy wheel designs. Changes to the cabin are minimal.
Commenting on the model, Balbir Singh Dhillon, head of Audi India said, “The Audi A4 Quick Lift has undergone styling and feature changes including a new bumper on the front and rear. In addition, Auto Park Assist comes as standard on the Technology variant.”
Other equipment offered on the fully loaded A4 includes a three-zone auto climate control, Audi's virtual cockpit digital instrument cluster, an electric sunroof, powered front seats with memory function for the driver, front and rear parking sensors, and a reverse camera.
The A4 facelift is available with a 150hp, 1.4-litre, turbo-petrol motor powering the front wheels via a 7-speed automatic gearbox. There's no diesel engine on offer and it is not known if Audi will introduce one after the BS6 norms come into effect.
The updated A4 rivals the likes of the new BMW 3 Series, Jaguar XE and the Mercedes-Benz C-class.
Interestingly, this is not the only facelift for the A4. Audi revealed a second facelift for the luxury sedan earlier this year with more comprehensive updates and new engine options, a model that is yet to make it to our shores.
All prices, ex-showroom, India


---
title: "So Long June"
date: "2018-06-25 00:00:00 -06:00"
categories:
- whats-blooming
layout: "post"
blog-banner: "whats-blooming-now-spring.jpg"
post-date: "June 25, 2018"
post-time: "12:00 PM"
blog-image: "2018-06-25-wbn.jpg"
published: true
---
There is only one week left of June and it certainly shows here in the Garden. There is an abundance of blooms as well as a large Lego® display throughout the Garden. Come see it for yourself!
This Lego® statue in the background portrays the importance of Milkweed to the survival of the Monarch Butterfly (Danaus plexippus). You can see both the real plant and the Lego® version up close and personal in the Wildflower Meadow!
What beautiful bright flowers this plant displays! It can be seen at the bottom of the Water Conservation Garden.
This picture does not do this large shrub justice. It is showing off right now in the Four Seasons Lawn.
Not only were the flowers delightful, but now is the fruits time to shine. It can be seen at the bottom of the Water Conservation Garden.
 You can see it along the Floral Walk.
It is always a joy when this lily starts to bloom. View it on the Floral Walk.
Come give June a warm sendoff by seeing what it brought to the Garden! Don'f forget your sunblock!


tomer the king
tomer the king
d;fkgjkdfklgj;fl
I like hapoel
I eat food every day
food is the best
hapoel
#god


We are B-Link
Welcome to the website of Basic Learning and Information Network.
Vision and mission
Championing a healthy nation with our people - To live well, live long & with peace of mind.
We are an innovative and people-centred organization, committed to medical excellence, promoting good health and reducing illness, and to ensuring that Singaporeans have access to good and affordable healthcare that is appropriate to their needs. More..
Delivery and philosophy
Through BLINK, the Government manages the public healthcare system to ensure that good and affordable basic medical services are available to all ugandans. We achieve this through providing subsidised medical services while promoting individual responsibility for the costs of healthcare services. Our population is thus encouraged to adopt a healthy lifestyle, taking responsibility for one’s own health. Safety nets are provided however, to ensure that no Singaporean is denied access into the healthcare system or turned away by public hospitals because of lack of money.
Leadership and management
Through the leadership of Minister for Health and the Permanent Secretary (Health), the work of the Ministry is implemented through its three main groups: Policy and Corporate Group, Operational Groups and the Professional Cluster. BLINK also licenses and regulates all healthcare establishments such as hospitals, nursing homes, clinical laboratories, medical and dental clinics. More..
The public healthcare delivery system is geographically structured as vertically integrated delivery networks, Alexandra Health System (AHS), Eastern Health Alliance (EH Alliance), Jurong Health Services (JHS), National University Health System (NUHS), National Healthcare Group (NHG) and Singapore Health Services (SHS).
Last updated on 16 Jan 2017


Hyundai develops new active noise control tech
by Staff WriterNew system is based on Hyundai’s existing Active Noise Control system; can combat road noise individually for driver, co-driver and rear seats.
Hyundai Motor has announced the development of the world’s first Road Noise Active Noise Control (RANC) system. This is the first-ever system that dramatically reduces noise within the cabin of a vehicle.
This is the new breakthrough for the limitations of the current noise control technology. The RANC builds on the Hyundai Group’s current Active Noise Control (ANC) technology which actively reduces noise. It achieves the dramatic ‘nearly silent’ cabin environment in engine-free fuel cell electric and electric models by emitting sound waves inverted to incoming noise. The ANC is a software-driven technology that analyses the in-cabin sound to decrease engine and road noise, and will first be applied to an upcoming Genesis model.
This tech is quite different from the existing passive methods of blocking noise through sound insulation. These included dynamic dampers, which not only increased weight but also failed to block the buzzing infrasound completely. In contrast, ANC utilizes much lighter parts like microphones and controllers to control the noise and reduces infrasound more efficiently. The technology is already available in some Hyundai Motor Group vehicles.
The new RANC system can analyse various types of noise in real-time and produce inverted sound waves and reduce noise by 3dB. That 3dB level is roughly half the noise level as compared without RANC. Its computation and signal transfer speeds are optimised and takes only 0.002sec using the DSP (Digital Signal Processor). The microphone constantly monitors the road noise cancellation status and sends the information to the DSP. RANC is able to conduct accurate noise analysis and rapid computation to combat road noise for the driver’s seat, the passenger seat and rear seats separately.
Hyundai went through six years of research and development for the mass production of RANC. The pre-production phase involved an open innovation between industry and academia, with participation by Korea Advanced Institute of Science and Technology, WeAcom, ARE, BurnYoung and more. Additionally, the mass production phase was carried out with global car audio company, Harman.
Gangdeok Lee, a Research Fellow of NVH Research Lab said, “RANC is a remarkable technology which takes existing NVH technology to the next level. We will continue to take the leading position of NVH technology and deliver the highest level of quietness to customers.”
Also see:
Next-gen Hyundai Tucson previewed as Vision T Concept
Hyundai Aura engine, gearbox options revealed


[gecode-users] Logilab's Python Wrapper for Gecode
Grégoire Dooms
dooms at info.ucl.ac.be
Wed Mar 22 10:45:47 CET 2006
Guido Tack wrote:
> Hi Grégoire!
>
>
>> During this print we started the development of a Python wrapper for
>> Gecode. We were able to wrap a simple generic space which allows to
>> dynamically register integer variables in it and post a few constraints. We
>> also implemented a generic propgator over ints which triggers a Python
>> callback on propagate().
>> The embryonic wrapper is available at
>> http://codespeak.net/pypy/dist/pypy/lib/logic/gecode_wrapper/
>>
>
> That's nice work. I saw that you used the same idea we're using for the Alice
> wrapper, to represent variables as array indices. One problem with this
> approach is that you can't allocate "temporary" variables, you always have to
> copy all the variables you've created. Are you planning to work around this?
>
>
Yes it is was in the original design. And it is currently in add_int_var
(the bool temp argument) but it throws Unimplemented :-)
I think it should be possible to assign other ids (negative numbers ? )
to temporary variables in the space. Those would be local to one Space
and would not get copied.
> As you know, we're using swig to generate a Java wrapper. Did you consider
> this option, too? Although we had to annotate a lot, and provide many
> customized translations between Java and C++, I still think it saved us a lot
> of work.
>
Yes. We tought about using it too. The final decision was based on the
personnal taste of Ludovic for SWIG w/ Python ( ;-) ) and also on the
fact that we have to go through a C API to make it useable in PyPy. So
the design involves making this special Space with dynamic arrays of
variables then a C wrapper with only void* and int objects in the
interface. Then on the Python we use ctypes (or rctypes in PyPy) which
gives that same procedural interface. Finally there should be a higher
level, more Pythonic wrapper over that one.
> We recently had some problems with memory management. A propagator written in
> Java must be kept alive as long as the "corresponding C++ propagator" is
> alive - and due to a bug in swig, our Java propagators were never finalized.
> This means we had a huge memory leak. Does Python provide some clever way for
> coping with these kinds of problems?
>
Well, that rings my bell about the discussions on keeping away from
SWIG. There are some nice memory management features in Boost.Python but
we need to go pure C. So that memory management will have to be hand
written.
It is not implemented yet but does not seem too complicated:
Correct me if I'm wrong: that implies calling Propagator(home,true) in
our MyPropagator constructor to have its C++ destructor called.
On the Python side, memory management uses reference counting. So a
propagator copy should INCREF and a destructor should DECREF. AFAIK it
is not possible to do it from the C++ side through ctypes so it would
need to be emulated on the Python side. The API to post a propagator
would then not only provide a propagate callable but also incref and
decref callables for the propagate one :-).
I don't have much time to work on this before the Summer but I think
they plan on developing it in Logilab Paris.
Best,
--
Grégoire
More information about the gecode-users
mailing list


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Participate
Pick a Lesson
The American Revolution
Voices Of Freedom
QUESTIONS
- What does Paine see as the global significance of the American Struggle for independence?
- Why does Chalmers equate independence with slaver?
- How does the language used by the two writers differ, and what does this tell us about their view of politics?
The Civil War
Voices Of Freedom
QUESTIONS
- What is Lincoln referring to when he says, "of the people, by the people, for the people”?
- How does Lincoln describe the United States?
- Lincoln never mentions Gettysburg in his Address. Why do you think that is?
Raise My Hand


The type function can be used to store a [expression](expression).
Here a simple sample of a function:
You can use the attribute [d-dataLoadType](d-dataLoadType) to define when the function will be loaded.
Here a sample using a function in an [event](event):


reactivemongo.bson
An array-backed writable buffer.
An array-backed readable buffer.
A readable buffer.
The implementation MUST ensure it reads data in little endian when needed.
A writable buffer.
The implementation MUST ensure it stores data in little endian when needed.
A readable buffer.
The implementation MUST ensure it reads data in little endian when needed.


'Stumptown' Enlists 'Lucifer' Actress Inbar Lavi (Exclusive)
Inbar Lavi is headed to ABC's 'Stumptown' in a three-episode guest arc.
by Shannon O'ConnorWelcome to Stumptown, Inbar Lavi.
Lavi has booked a three-episode guest arc on ABC’s freshman drama Stumptown.
The Lucifer alum is set to join the Cobie Smulders-led PI drama as Max, a skilled, thrill-seeking car thief who is wrapped up in a sophisticated auto theft ring.
The new drama, based on a graphic novel of the same name, follows Smulders’ PTSD-riddled ex-Marine Dex as she navigates her way into the world of private investigating in Portland while battling her own demons.
Jason Richman created and executive produces the series. Richman also serves as co-showrunner alongside executive producer Matt Olmstead. Ruben Fleischer, David Bernad, Greg Rucka (who wrote the graphic novel), Justin Greenwood and Matthew Southworth also exec produce.
Lavi, who is fresh off a recurring role on Fox-turned-Netflix drama Lucifer, starred on two seasons of Bravo’s The Imposters. Her credits also include roles on Prison Break, The Last Ship and Gang Related. She is repped by Justice & Ponder and attorney Rick Genow.
Stumptown airs Wednesdays at 10 p.m. on ABC.


Sent and received messages will appear here. Send a payload to begin.
Unable to complete the request
HTTP/1.1


Recipe 15.6. Giving an XML-RPC Server a wxPython GUICredit: Peter Arwanitis, Alex Martelli ProblemYou are writing an XML-RPC server and want to add a GUI to it, or you're writing a GUI application that you want to be able to interact as an XML-RPC server too. SolutionAs long as you use Twisted for the network interaction, and wxPython for the GUI, this task is reasonably easy, since these packages can cooperate through the twisted.internet.wxreactor module. You do need to have specific incantations at the start of your program, as follows: # To use wxPython and Twisted together, do the following, in exact order: import wx from twisted.internet import wxreactor wxreactor.install( ) from twisted.internet import reactor # Then, have whatever other imports as may be necessary to your program from twisted.web import xmlrpc, server class MyFrame(wx.Frame): ''' Main window for this wx application. ''' def _ _init_ _(self, parent, ID, title, pos=wx.DefaultPosition, size=(200, 100), style=wx.DEFAULT_FRAME_STYLE): wx.Frame._ _init_ _(self, parent, ID, title, pos, size, style) wx.EVT_CLOSE(self, self.OnCloseWindow) def OnCloseWindow(self, event): self.Destroy( ) reactor.stop( ) class MyXMLRPCApp(wx.App, xmlrpc.XMLRPC): ''' We're a wx Application _AND_ an XML-RPC server too. ''' def OnInit(self): ''' wx-related startup code: builds the GUI. ''' self.frame = MyFrame(None, -1, 'Hello') self.frame.Show(True) self.SetTopWindow(self.frame) return True # methods exposed to XML-RPC clients: def xmlrpc_stop(self): """ Closes the wx application. """ self.frame.Close( ) return 'Shutdown initiated' def xmlrpc_title(self, x): """ Change the wx application's window's caption. """ self.frame.SetTitle(x) return 'Title set to %r' % x def xmlrpc_add(self, x, y): """ Provide some computational services to clients. """ return x + y if _ _name_ _ == '_ _main_ _': # pass False to emit stdout/stderr to shell, not an additional wx window app = MyXMLRPCApp(False) # Make the wx application twisted-aware reactor.registerWxApp(app) # Make a XML-RPC Server listening to port 7080 reactor.listenTCP(7080, server.Site(app)) # Start both reactor parts (wx MainLoop and XML-RPC server) reactor.run( ) DiscussionIt is often useful to give an XML-RPC server a GUI, for example, to display the current status to an operator or administrator. Conversely, it is often useful to give a GUI application the ability to accept remote requests from other programs, and making the application an XML-RPC server is an excellent, simple way to accomplish that purpose. Either way, if you use Twisted for the networking part, you're off to a good start, because Twisted offers specialized reactor implementations to ease cooperation with several GUI toolkits. In particular, this recipe shows how a Twisted-based XML-RPC server can sport a wxPython GUI thanks to the twisted.internet.wxreactor module. To try this recipe, save the code from the "Solution" as a Python script and start it from a shell. If you run some kind of "personal firewall" that's normally set to impede TCP/IP communication between programs running on your machine, ensure it's set to let such communication happen on TCP port 7080. Then, from any interactive Python interpreter session on the same machine, do: >>> import xmlrpclib >>> s = xmlrpclib.ServerProxy('http://localhost:7080') >>> s.add(23, 42) 65 >>> s.title('Changed Title') Title set to 'Changed Title' Observe that the title of the wx application's window has changed. Now, you can close the application, either by whatever GUI means you normally use on your platform (it is a totally cross-platform application, after all), or by calling s.stop( ) from the same Python interpreter interactive session that we just showed. You can also run such a client on any other machine, as long as it has open TCP/IP connectivity on port 7080 with the machine running the server. (In particular, make sure you open port 7080 on any firewall that would normally block that port, whether the firewall is on either of the machines, or on any other network apparatus that may lie between them.) Both Twisted and wxPython, while already rich and solid frameworks, are still growing and changing, so it may be important to ensure you have the right releases installed properly on your machine. This recipe should run on any platform that is equipped with Python 2.3 or better, wxPython <IP_ADDRESS> or better, and Twisted 1.3.0 or better. Of course, we don't have access to every platform in the world, nor to all future releases of these tools, so we tested the recipe only under Windows/XP, Mac OS X 10.3.6, and Linux, with Python 2.3 and 2.4, wxPython <IP_ADDRESS>, and some 2.5.x.y releases, and Twisted 1.3.0 specifically. Since the recipe relies only on published, supported aspects of the various tools, one can hope that the recipe will also work elsewhere, and will work with future releases of the tools. However, if this recipe's approach does not prove satisfactory for your purposes, you may want to try a different approach based on threads, shown at http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/286201. See AlsoTwisted's home page is http://www.twistedmatrix.com; documentation on Twisted XML-RPC support is at http://www.twistedmatrix.com/documents/current/howto/xmlrpc; wxPython's home page is http://www.wxpython.org. |


{% extends "layout.html" %} {% block title %} Not found - Minimal demo of Flask and SQLAlchemy {% endblock %} {% block body %}
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RULES OF ENGAGEMENT
Review by John Beachem
* * * 1/2
Directed by: William Friedkin Written by: James Webb (story), Stephen Gaghan
"Rules of Engagement", the new film from William Friedkin (you remember, the guy who directed "The Exorcist" way back when), is something of an enigma. It's one of those films which is entirely predictable, not particularly well written, and it's all stuff we've seen before. However, there is something about it that holds your attention despite all of this. I suppose it could be the two leads, Tommy Lee Jones and Samuel L. Jackson, two of the better actors working in Hollywood today. It could also be that Friedkin somehow manages to keep the action going throughout the entire film so that you're never distracted by having seen all this before. Whatever the reason, "Rules of Engagement" is one of those bizarre movies like "The 13th Warrior" which has no discernible redeeming qualities, but I was incapable of disliking.
Colonel Terry Childers (Samuel L. Jackson) is a decorated marine and Vietnam veteran. His latest assignment is to fly into Yemen with a squad of marines and rescue an ambassador (Ben Kingsley) and his family from protestors at the American embassy. When the protestors turn violent and marines are killed, Childers orders his men to open fire on the crowd, killing over 70 people. Now he faces a court martial and up to fifteen years in prison unless he can prove that the crowd had weapons, and he was only returning fire. His attorney is Colonel Hayes Hodges (Tommy Lee Jones), a friend whose life Childers saved in Vietnam. The prosecuting attorney is the slimy Major Mark Biggs (Guy Pearce), who has been hired on by the even slimier William Sokal (Bruce Greenwood), who wants everything pinned on Childers so the US can save face.
As I said, this is hardly an original movie since obvious similarities to 1992's "A Few Good Men" exist. There are several things besides the lack of originality which really hurt this film. One is the absence of a good score. In fact, there is hardly any music at all in "Rules of Engagement". During the courtroom and battle scenes, where the tension is palpable and the audience is on the edge of their seats, a nice dramatic score would have been welcome. Instead, we are given overwhelmingly loud sound effects of explosions and gun shots which make it impossible to hear what is being said. On the bright side, the battle scenes are very realistically filmed, especially the opening scene of the skirmish in Vietnam involving Childers and Hodges' unit and a VC squad.
The acting in "Rules of Engagement" is certainly the film's high point. Samuel L. Jackson is the perfect choice for his role. A man consumed with passion (Jackson is at his best when playing a character consumed by passion) for his job and his country. Jones may be a bit miscast as an alcoholic loser of a lawyer, but he turns in a great performance anyway. Ben Kingsley ("Species", "What Planet Are You From?") is given nothing to do other than look shifty eyed and stutter over his testimony in court. Guy Pearce, who gave a brilliant performance in "LA Confidential", is horribly miscast as the prosecuting attorney. There is something about Pearce's performance that makes Major Biggs seem incredibly slimy (too much so in fact) despite the fact that his introduction sets the character up as something of a boy scout.
There are certain things about this film which make very little sense. For example, Bruce Greenwood's ("Double Jeopardy") character is given a video tape that would not only clear Childers of all charges, but would get the US out of trouble as well. Instead of submitting the tape as evidence, he tells his aid: "I don't want to think about it, I don't want to see it, I don't want it to exist." Not only does it not make sense that he didn't want it to exist, but it makes even less sense that he would tell a witness. The only other thing that bothered me was the poor editing job performed here. Not only are long, sometimes boring sequences not edited down to size, but we are sometimes given quick camera cuts from person to person during the courtroom scenes which make things very confusing. "Rules of Engagement" runs a little too long at 127 minutes. I recommend it to fans of Tommy Lee Jones and Samuel L Jackson since they are both given a chance to shine here. I give the film two and a half out of five stars.
Comments? Feel free to e-mail them to<EMAIL_ADDRESS>For past reviews, movie news, and other fun stuff, visit: http://www.dependentfilms.net
* * * * * - One of the greatest movies ever made, see it now. * * * * - Great flick. Try and catch this one. * * * - Okay movie, hits and misses. * * - Pretty bad. See it if you have nothing better to do. * - One of the worst movies ever. See it only if you enjoy pain.
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Deep Learning Approach for Population Estimation
from Satellite Imagery
Microsoft AI for Earth Awardee
Knowing where people live is a fundamental component of many decision making processes such as urban development, infectious disease containment, evacuation planning, risk management, conservation planning, and more.
To jointly answer the questions of “where do people live” and “how many people live there,” we propose a deep learning model for creating high-resolution population estimations from satellite imagery. Specifically, we train convolutional neural networks to predict population in the USA at a 0.01° x 0.01° resolution grid from 1-year composite Landsat imagery.
We find that aggregating our model’s estimates gives comparable results to the Census county-level population projections and that the predictions made by our model can be directly interpreted, which give it advantages over traditional population disaggregationmethods.
In general, our model is an example of how machine learning techniques can be an effective tool for extracting information from inherently unstructured, remotely sensed data to provide effective solutions to social problems.


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Apollo Fuzzmoon
@fuzzmoon ♬ original sound - Kira Kosarin
Apollo Fuzzmoon is a puppet who made the jump into the digital world, and has been warmly welcomed on TIkTok with over 20k followers.
Using off-the-shelf game technology, Apollo is rendered and performed in real time. Apollo is excited to explore the possibilities for online video, and is very excited to expand on the technology he is already using and break into the world of Augmented and Virtual Reality.


Estimate Counterfactual Mean Under Stochastic Shift in Exposure
txshift( W, A, Y, C = rep(1, length(Y)), V = NULL, delta = 0, estimator = c("tmle", "onestep"), fluctuation = c("standard", "weighted"), max_iter = 10, ipcw_fit_args = list(fit_type = c("glm", "sl", "external"), sl_learners = NULL), g_fit_args = list(fit_type = c("hal", "sl", "external"), n_bins = c(10, 25), grid_type = c("equal_range", "equal_mass"), lambda_seq = exp(seq(-1, -13, length = 300)), use_future = FALSE, sl_learners_density = NULL), Q_fit_args = list(fit_type = c("glm", "sl", "external"), glm_formula = "Y ~ .", sl_learners = NULL), eif_reg_type = c("hal", "glm"), ipcw_efficiency = TRUE, ipcw_fit_ext = NULL, gn_fit_ext = NULL, Qn_fit_ext = NULL )
| W | A |
|---|---|
| A | A |
| Y | A |
| C | A |
| V | The covariates that are used in determining the sampling procedure
that gives rise to censoring. The default is |
| delta | A |
| estimator | The type of estimator to be fit, either |
| fluctuation | The method to be used in the submodel fluctuation step (targeting step) to compute the TML estimator. The choices are "standard" and "weighted" for where to place the auxiliary covariate in the logistic tilting regression. |
| max_iter | A |
| ipcw_fit_args | A |
| g_fit_args | A |
| Q_fit_args | A |
| eif_reg_type | Whether a flexible nonparametric function ought to be
used in the dimension-reduced nuisance regression of the targeting step for
the censored data case. By default, the method used is a nonparametric
regression based on the Highly Adaptive Lasso (from hal9001). Set
this to |
| ipcw_efficiency | Whether to invoke an augmentation of the IPCW-TMLE
procedure that performs an iterative process to ensure efficiency of the
resulting estimate. The default is |
| ipcw_fit_ext | The results of an external fitting procedure used to
estimate the two-phase censoring mechanism, to be used in constructing the
inverse probability of censoring weighted TML or one-step estimator. The
input provided must match the output of |
| gn_fit_ext | The results of an external fitting procedure used to
estimate the exposure mechanism (generalized propensity score), to be used
in constructing the TML or one-step estimator. The input provided must
match the output of |
| Qn_fit_ext | The results of an external fitting procedure used to
estimate the outcome mechanism, to be used in constructing the TML or
one-step estimator. The input provided must match the output of
|
S3 object of class txshift
containing the results of the
procedure to compute a TML or one-step estimate of the counterfactual mean
under a modified treatment policy that shifts a continuous-valued exposure
by a scalar amount delta
. These estimates can be augmented to be
consistent and efficient when two-phase sampling is performed.
Construct a one-step estimate or targeted minimum loss estimate of the counterfactual mean under a modified treatment policy, automatically making adjustments for two-phase sampling when a censoring indicator is included. Ensemble machine learning may be used to construct the initial estimates of nuisance functions using sl3.
set.seed(429153) n_obs <- 100 W <- replicate(2, rbinom(n_obs, 1, 0.5)) A <- rnorm(n_obs, mean = 2 * W, sd = 1) Y <- rbinom(n_obs, 1, plogis(A + W + rnorm(n_obs, mean = 0, sd = 1))) C <- rbinom(n_obs, 1, plogis(W + Y)) # two-phase sampling # construct a TML estimate (set estimator = "onestep" for the one-step) tmle <- txshift( W = W, A = A, Y = Y, delta = 0.5, estimator = "tmle", g_fit_args = list( fit_type = "hal", n_bins = 5, grid_type = "equal_mass", lambda_seq = exp(-1:-9) ), Q_fit_args = list( fit_type = "glm", glm_formula = "Y ~ ." ) ) # construct a TML estimate under two-phase sampling ipcwtmle <- txshift( W = W, A = A, Y = Y, delta = 0.5, C = C, V = c("W", "Y"), estimator = "tmle", max_iter = 5, ipcw_fit_args = list(fit_type = "glm"), g_fit_args = list( fit_type = "hal", n_bins = 5, grid_type = "equal_mass", lambda_seq = exp(-1:-9) ), Q_fit_args = list( fit_type = "glm", glm_formula = "Y ~ ." ), eif_reg_type = "glm" )


Thymes is an independent company located in Minneapolis, Minnesota that produces and sells handcrafted bath/body and home fragrance products. Their website, http://www.thymes.com, provides information on available products that can be purchased online. The intended audience of this site are people who are interested in purchasing and learning more about these products.
This week I conducted an accessibility test of this site and will provide a summary of my findings.
Tools and standards used to evaluate the site
I focused on the WCAG 2.1 guidelines since this is not a federally funded site and therefore not subject to section 508. I looked at three factors to determine the accessibility of the website.
- Whether the website can be interpreted by the user if they have impairments such as limited sight or other disabilities that would affect their ability to understand information included in the site.
- Whether a user could operate the website with disabilities like motor impairments.
- Is the website predictable and set up in a way to correct mistakes?
I evaluated the website by manually reviewing it and using Wave and Lighthouse.
Findings and Results
Using Lighthouse I evaluated the accessibility of the site.
Overall it gave the website a score of 80/100 indicating several issues:
- Background and foreground colors do not have a sufficient contrast ratio
- Form elements do not have associated labels
- The browser zoom has been turned off
- Links do not have a discernible name
I also reviewed the site using WAVE and found similar results. The one additional thing identified in WAVE was the use of unordered lists in their dropdown menus.
Issues and possible solutions
Background and foreground colors do not have a sufficient contrast ratio
The site uses very muted colors likely to create a relaxing experience when viewing it. This makes sense when it comes to the type of product they are selling.
It’s nice for those who can see but for those who are visually impaired, the lack of contrast can make it difficult for users to use the site. The site tries to fix this by using contrast layers behind the light grey text. On some pages, the image is so light that the white contrast layer blends into the page and you lose the contrast.
One possible solution to this would be to put a border around the contrast layer.
Form elements do not have associated labels
The site handles form labels differently in different places. For example, on the form to sign up for an account or to order goods it uses form labels. In other areas such as the search box and signing up for emails, they have just used placeholders instead of labels. They use light grey text on the placeholder which has very poor contrast and is difficult for the visually impaired.
Individuals with cognitive or motor impairments can have difficulty with placeholders because depending on how they are coded, they can act differently. For example, sometimes when you click in the field the placeholder disappears. Other times when you click in the field you have to delete the placeholder to add your information.
Lastly, not all screen readers can read placeholder text aloud making it difficult for blind or visually impaired people to know it is there. Without a label they won’t know what to put in a field.
The solution here is to include labels in all form fields and make the lines and text darker for more contrast.
The browser zoom has been turned off
Based on Lighthouse, the ability to zoom and enlarge the page has been turned off. Many visually impaired people rely on zoom to be able to read the contents of a site. This site uses small text which makes it really important to be able to zoom as needed.
The obvious solution would be to turn zoom on.
Links do not have a discernible name
In both WAVE and Lighthouse this was identified as a low priority issue. For example, the following href format is commonly used on the site. The name of the image file is the same as the alternative text. This could be a problem for users of screen readers because they wouldn’t have any more information about the image than what’s already in the image name.
On this website I don’t think it’s a big issue because both the image and the alternative text describe the product and gives the user enough information about where they will go when they click the link.
Use of unordered lists
Since the list of products is in alphabetical order, it might make more sense to use an ordered list instead of an unordered list. I navigated through the site with keyboard commands and didn’t find tabbing through the list to be a problem. The bigger problem was getting to the list from the main menu because when I hit return to open the list I still had to navigate through the utilities and main menu of the page to get to the first item of the list. Once I was in the list, tabbing took me from one item to the next alphabetically.


Able to grab various system information, such as usage of memory by the program.
object SystemInfo
Schedules a task to be ran when the JVM exits.
fun runOnExit(hook: () -> Unit): Boolean


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Declarations for the BoolSymbol class. More...
Go to the source code of this file.
Declarations for the BoolSymbol class.


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PyDbLite is an open Source software, published under the BSD licence :
Copyright (c) 2009, Pierre Quentel<EMAIL_ADDRESS>All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.  IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Our product takes th plastic out of the test. That means no material waste and it is one hundred percent disolvable.
You can watch the results of the test instantly.
Because we are not using plastic, we can provide the product at a lower price compared with our competitors.

Ily said YOLO and pitched her idea.
The team came to the table with an amazing name.
CertaClear won the first place in the startup weekend competition.
Who would've tought :)
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interface RequestTimer
(source)
To track time for requests received and sent. start and end are guaranteed to be called.
end |
Called at the end of the request. open fun end(data: RequestTimerData): Unit |
error |
Called when an an error is detected. open fun error(errorMessage: String, data: RequestTimerData): Unit |
start |
Called at the start of the request. open fun start(type: String): RequestTimerData |
throwable |
Called when exception is caught. open fun throwable(throwable: Throwable, data: RequestTimerData): Unit |


This page lists HID Interface class, subclass and protocol codes. More...
Macros | |
| #define | HIDInterfaceDescriptor_CLASS 0x03 |
| HID interface class code. More... | |
| #define | HIDInterfaceDescriptor_SUBCLASS_NONE 0x00 |
| Indicates the interface does not implement a particular subclass. More... | |
| #define | HIDInterfaceDescriptor_SUBCLASS_BOOT 0x01 |
| Indicates the interface is compliant with the boot specification. More... | |
| #define | HIDInterfaceDescriptor_PROTOCOL_NONE 0x00 |
| Indicates the interface does not implement a particular protocol. More... | |
| #define | HIDInterfaceDescriptor_PROTOCOL_KEYBOARD 0x01 |
| Indicates the interface supports the boot specification as a keyboard. More... | |
| #define | HIDInterfaceDescriptor_PROTOCOL_MOUSE 0x02 |
| Indicates the interface supports the boot specification as a mouse. More... | |
This page lists HID Interface class, subclass and protocol codes.
| #define HIDInterfaceDescriptor_CLASS 0x03 |
HID interface class code.
| #define HIDInterfaceDescriptor_PROTOCOL_KEYBOARD 0x01 |
Indicates the interface supports the boot specification as a keyboard.
| #define HIDInterfaceDescriptor_PROTOCOL_MOUSE 0x02 |
Indicates the interface supports the boot specification as a mouse.
| #define HIDInterfaceDescriptor_PROTOCOL_NONE 0x00 |
Indicates the interface does not implement a particular protocol.
| #define HIDInterfaceDescriptor_SUBCLASS_BOOT 0x01 |
Indicates the interface is compliant with the boot specification.
| #define HIDInterfaceDescriptor_SUBCLASS_NONE 0x00 |
Indicates the interface does not implement a particular subclass.


--- layout: post title: DataServiceContext , Detect if there are pending changes date: 2008-10-03 13:20:15.000000000 -04:00 type: post published: true status: publish categories: [] tags: - Astoria - DataServiceContext - Demo - Documentation meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2008/10/03/dataservicecontext-detect-if-there-are-pending-changes.aspx orig_site_id: '7524' orig_post_id: '8975736' orig_parent_id: '8975736' orig_thread_id: '609803' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2008/10/03/dataservicecontext-detect-if-there-are-pending-changes.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
Hi ,
I ran into this interesting scenario in the forums today .
How does one find out if there are any pending changes in the DataServiceContext that you have to submit to the store ?
This is quite simple actually .
The DataServiceContext has 2 collections called Entities and Links. These collections contain entities and links that are tracked by the context.
Given these collections , how does one know if any of them were changed on the client by the appropriate API ?
Lets look at the collections one by one ,
DataServiceContext.Entities gives you a List<EntityDescriptor> , each EntityDescriptor instance contains a State property.
If the State is anything other than Unchanged , then the changes made to the entity on the client side are not commited to the server.
This is because we change the states of the entities to Unchanged after you call SaveChanges on the context.
The basic state changes are :
UpdateObject –> Modified -> SaveChanges –> UnChanged
DeleteObject –> Deleted -> SaveChanges –> UnChanged
AddObject –> Added -> SaveChanges –> UnChanged
So , to find out if there are any entities in the DataServiceContext which have been changed and not saved,
you would write something like this :
bool pendingEntityChanges = dsContext.Entities.Any(ed => ed.State != EntityStates.Unchanged);
DataServiceContext.Links gives you a List<LinkDescriptor> , each LinkDescriptor instance contains a State property ,
AddLink-> Added –> SaveChanges –> UnChanged
DeleteLink –> Deleted –> SaveChanges –> Detached
SetLink with Target not Null –> Modified –> SaveChanges –> UnChanged
SetLink with Target Null –> Modified –> SaveChanges –> Detached
To query for links which have not yet been saved , you would write :
bool pendingLinkChanges = dsContext.Links.Any(ld => ld.State != EntityStates.Unchanged);
and finally , the function to check if there are any unsaved changes ( Entities / Links ) in the context :
private bool HasUnsavedChanges(DataServiceContext dataContext){ //Check if any Entities are unsaved return dataContext.Entities.Any(ed => ed.State != EntityStates.Unchanged) //Check if any Links are unsaved || dataContext.Links.Any(ld => ld.State != EntityStates.Unchanged) }


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The house house is smart and has the 2 controller
Controller description:
- Model: Main controller
- OS: Main controller
- OS version: Main controller
- Contains 1 sensors
- Contains 1 actuators
Sensors
| Name |
Model |
Type |
Located in |
| temp sensor |
agua |
TEMPERATURE |
4 |
Actuators
| Name |
Model |
Type |
Connected to |
| gate mech actuator |
aka |
MECHANICAL |
wdwd |


Education
East Tennesee State University
2011-2012
Bachelor of Science
School of Hard Nocks
1982-2015
Bachelor of Science
Experience
Master of Fun at CBGB's
1995-2000
Made sure that every person in the building was having fun
Women's Flat Track
1995-2000
Winner four years in a row
Professional All Mountain Snowboarder
2004-2010
Riding the powder everyday all day


based on screen shot something is surposed to go here.. but not sure what!
{% if object.river_lease_reserve_licence is True %}
Yes
{% else %}
No
{% endif %}
{% if object.river_lease_application_number %}
{{ object.river_lease_application_number }}
{% else %}
No Application Number
{% endif %}


#include <Util.h>
Static Public Member Functions | |
| static char * | cutText (const char *text, const int length) |
| static char | toUpper (const char letter) |
| static char | toLower (const char letter) |
| static char * | stringToLower (const char *string) |
| static int | numberLength (const int number) |
| static char | nDecimal (const int number, const int n) |
| static bool | isDecimal (const char a) |
| static char * | generateRep (char **reps) |
| static void | createRep (char **reps) |
| static bool | isThisFileExists (char *file) |
| static bool | isThisRepExists (char *rep) |
| char * Util::cutText | ( | const char * | text, | |
| const int | length | |||
| ) | [static] |
Fonction used to cut and clean text and make it ready to draw
| text | text to be cut | |
| length | max length of the new text |
| char Util::toUpper | ( | const char | letter | ) | [static] |
Capitalize one char
| letter | char to capitalize |
| char Util::toLower | ( | const char | letter | ) | [static] |
Capitalize one char
| letter | char to UnCapitalize |
| char * Util::stringToLower | ( | const char * | string | ) | [static] |
Uncapitalize one string
| string | string to UnCapitalize |
| int Util::numberLength | ( | const int | number | ) | [static] |
Number of decimals in this number
| number | number to search in |
| char Util::nDecimal | ( | const int | number, | |
| const int | n | |||
| ) | [static] |
Take the Nst decimal in the number
| number | number to search in | |
| n | number of decimal to return |
| bool Util::isDecimal | ( | const char | a | ) | [static] |
Is it a decimal (between 0 and 9)
| a | caracter to test |
| char * Util::generateRep | ( | char ** | reps | ) | [static] |
Generate a one line fileName from a list of repertory Ex : if reps is "file"|"name"|"michael.pdf", then a string with "file/name/michael.pdf" will be created.
| rep | repertories to test. Ends with NUL |
| void Util::createRep | ( | char ** | reps | ) | [static] |
Create a local repertory made by a list of strings. Ex : if reps is "file"|"name"|"michael", then a repertory "file/name/michael/" will be created
| rep | repertories to test. Ends with NULL |
| bool Util::isThisFileExists | ( | char * | file | ) | [static] |
Is this file exists ?
| file | file to test |
| bool Util::isThisRepExists | ( | char * | rep | ) | [static] |
Is this repertory exists ?
| rep | repertory to test |


Computational Physics 2: computational quantum mechanics¶
Introduction¶
This repository contain lecture slides, programs, exercises and projects for a more advanced course in computational physics, with an emphasis on quantum mechanical problems with many interacting particles. The applications and the computational methods are relevant for research problems in such diverse areas as nuclear, atomic, molecular and solid-state physics, quantum chemistry and materials science.
A theoretical understanding of the behavior of quantum-mechanical many-body systems - that is, systems containing many interacting particles - is a considerable challenge in that no exact solution can be found; instead, reliable methods are needed for approximate but accurate simulations of such systems on modern computers. New insights and a better understanding of complicated quantum mechanical systems can only be obtained via large-scale simulations. The capability to study such systems is of high relevance for both fundamental research and industrial and technological advances.
The aim of this course is to present applications of, through various computational projects, some of the most widely used many-body methods with pertinent algorithms and high-performance computing topics such as advanced parallelization techniques and object orientation. Furthermore, elements of Machine Learning and quantum computing may be presented if of interest. In particular we will here employ deep learning techniques based on neural networks and so-called Boltzmann machines. The methods and algorithms that will be studied may vary from year to year depending on the interests of the participants, but the main focus will be on systems from computational material science, solid-state physics, atomic and molecular physics, nuclear physics and quantum chemistry. The most relevant algorithms and methods are microscopic mean-field theories (Hartree-Fock and Kohn-Sham theories and density functional theories), large-scale diagonalization methods, coupled-cluster theory, similarity renormalization methods, and quantum Monte Carlo like Variational Monte Carlo and Diffusion Monte Carlo approaches. Methods to study phase transitions for both fermionic and bosonic systems can also be studied.
Learning outcomes¶
The course introduces a variety of central algorithms and methods for professional studies of quantum mechanical systems, with relevance for several problems in physics, materials science and quantum chemistry. The course is project based and through the various projects, normally two, the participants will be exposed to fundamental research problems in these fields, with the aim to reproduce state of the art scientific results. The students will learn to develop and structure large codes for studying these systems, get aquainted with supercomputing facilities and learn to handle large scientific projects. A good scientific and ethical conduct is emphasized throughout the course.
The course is also a continuation of FYS3150 – Computational Physics, and it will give a further treatment of several of the numerical methods given there.
Prerequisites¶
Basic knowledge in programming and mathematics, with an emphasis on linear algebra. Knowledge of Python or/and C++ as programming languages is strongly recommended and experience with Jupiter notebook is recommended. Required courses are the equivalents to the University of Oslo mathematics courses MAT1100, MAT1110, MAT1120 and at least one of the corresponding computing and programming courses INF1000/INF1110 or MAT-INF1100/MAT-INF1100L/BIOS1100/KJM-INF1100. Most universities offer nowadays a basic programming course (often compulsory) where Python is the recurring programming language.
We recommend also that you have some background in quantum mechanics, typically at the level of FYS2140 and/or FYS3110.
The course has two central parts¶
Computational aspects play a central role and you are expected to work on numerical examples and projects which illustrate the theory and varous algorithms discussed during the lectures. We recommend strongly to form small project groups of 2-3 participants, if possible.


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score
- Variable in enum gameplay.
MonsterType
Score
- Class in
menu
Score(String, int)
- Constructor for class menu.
Score
Score(String)
- Constructor for class menu.
Score
Scoreboard
- Class in
menu
Scoreboard(int, int)
- Constructor for class menu.
Scoreboard
scores
- Variable in class menu.
Menu
scores
- Variable in class menu.
Scoreboard
scoresAction()
- Constructor for class menu.
Menu.scoresAction
scoresButton
- Variable in class menu.
Menu
setBullets(ArrayList<Bullet>)
- Method in class gameplay.
Hero
setCanGoDown(boolean)
- Method in class gameplay.
Hero
setCanGoLeft(boolean)
- Method in class gameplay.
Hero
setCanGoRight(boolean)
- Method in class gameplay.
Hero
setCanGoUp(boolean)
- Method in class gameplay.
Hero
setCreditsLayout()
- Method in class menu.
Menu
setCurrentPlayer(Player)
- Method in class menu.
Menu
setDamage(int)
- Method in class gameplay.
Bullet
setDamage(int)
- Method in class gameplay.
Strike
setDirection(Direction)
- Method in class gameplay.
Hero
setDirection(monsterDirection)
- Method in class gameplay.
Monster
setDirection(Direction)
- Method in class gameplay.
Torch
setDoorWall(Wall)
- Method in class gameplay.
Fase
setExitPosX(int)
- Method in class gameplay.
Fase
setExitPosY(int)
- Method in class gameplay.
Fase
setGAME_HEIGHT(int)
- Method in class gameplay.
Gameplay
setGAME_WIDTH(int)
- Method in class gameplay.
Gameplay
setGameplay(Gameplay)
- Method in class menu.
Menu
setHeight(int)
- Method in class gameplay.
Hero
setHeight(int)
- Method in class gameplay.
Item
setHeight(int)
- Method in class gameplay.
Monster
setHeight(int)
- Method in class gameplay.
Torch
setHeight(int)
- Method in class gameplay.
Wall
setHeroClass(HeroClass)
- Method in class gameplay.
Hero
setHeroPosX(int)
- Method in class gameplay.
Fase
setHeroPosY(int)
- Method in class gameplay.
Fase
setId(int)
- Method in class gameplay.
Player
setImage()
- Method in class gameplay.
Bullet
setImage(Image)
- Method in class gameplay.
Creature
setImage()
- Method in class gameplay.
Hero
setImage(Image)
- Method in class gameplay.
Item
setImage(MonsterType)
- Method in class gameplay.
Monster
setImage()
- Method in class gameplay.
Strike
setImage(Image)
- Method in class gameplay.
Torch
setImage(Image)
- Method in class gameplay.
Wall
setIncreaseX(int)
- Method in class gameplay.
Creature
setIncreaseY(int)
- Method in class gameplay.
Creature
setItems(ArrayList<Item>)
- Method in class gameplay.
Fase
setLife(int)
- Method in class gameplay.
Creature
setMaxRange(int)
- Method in class gameplay.
Monster
setMonsters(ArrayList<Monster>)
- Method in class gameplay.
Fase
setMovement()
- Method in class gameplay.
Monster
setName(String)
- Method in class gameplay.
Creature
setName(String)
- Method in class gameplay.
Player
setORIGINAL_LIFE(int)
- Method in class gameplay.
Creature
setPlayer(String)
- Method in class menu.
Score
setPoints(int)
- Method in class menu.
Score
setScores(Scoreboard)
- Method in class menu.
Menu
setShield(int)
- Method in class gameplay.
Hero
setShowPanelLayout()
- Method in class menu.
Menu
setSpeed(MonsterType)
- Method in class gameplay.
Monster
setState(boolean)
- Method in class gameplay.
Creature
setStrikes(ArrayList<Strike>)
- Method in class gameplay.
Hero
setThingsPositions()
- Method in class gameplay.
Fase
Function responsable for getting all the information read and loaded and build the fase accordingly.
setTimer(Timer)
- Method in class gameplay.
Gameplay
settingsAction()
- Constructor for class menu.
Menu.settingsAction
settingsButton
- Variable in class menu.
Menu
setTorches(ArrayList<Torch>)
- Method in class gameplay.
Fase
setType(MonsterType)
- Method in class gameplay.
Monster
setVisible(Boolean)
- Method in class gameplay.
Bullet
setWalls(ArrayList<Wall>)
- Method in class gameplay.
Fase
setWidth(int)
- Method in class gameplay.
Hero
setWidth(int)
- Method in class gameplay.
Item
setWidth(int)
- Method in class gameplay.
Monster
setWidth(int)
- Method in class gameplay.
Torch
setWidth(int)
- Method in class gameplay.
Wall
setX(int)
- Method in class gameplay.
Creature
setX(int)
- Method in class gameplay.
Item
setX(int)
- Method in class gameplay.
Strike
setX(int)
- Method in class gameplay.
Torch
setX(int)
- Method in class gameplay.
Wall
setY(int)
- Method in class gameplay.
Creature
setY(int)
- Method in class gameplay.
Item
setY(int)
- Method in class gameplay.
Strike
setY(int)
- Method in class gameplay.
Torch
setY(int)
- Method in class gameplay.
Wall
shield
- Variable in class gameplay.
Hero
shoot()
- Method in class gameplay.
Hero
showPanel
- Variable in class gameplay.
Gameplay
showPanel
- Variable in class menu.
Menu
skip
- Variable in class menu.
Menu
skipAction()
- Constructor for class menu.
Menu.skipAction
soundEffects
- Variable in class gameplay.
Gameplay
SPEED
- Variable in class gameplay.
Gameplay
SPEED
- Variable in class gameplay.
Hero
SPEED
- Variable in class gameplay.
Monster
state
- Variable in class gameplay.
Creature
Strike
- Class in
gameplay
Strike(int, int, Direction)
- Constructor for class gameplay.
Strike
strikes
- Variable in class gameplay.
Gameplay
strikes
- Variable in class gameplay.
Hero
SWING_SPEED
- Variable in class gameplay.
Strike
swingSword()
- Method in class gameplay.
Hero
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##################################################
#
# General Notes:
# -- python uses spaces to figure out the beginnings
# and ends of functions/loops/etc. So make sure
# to preserve spacings properly (indent). This
# is easy to do if you use emacs with python mode
# and color coding.
# -- You will probably need to edit almost every
# single line of the go() function.
# -- If you need help on the individual function calls,
# then in the pyraf prompt, import the module and
# then print the documentation for that function:
# --> print kai.kailog.__doc__
# --> print range.__doc__
#
##################################################
# Import python and iraf modules
from pyraf import iraf as ir
import numpy as np
import os, sys
import glob
# Import our own custom modules
from kai.reduce import calib
from kai.reduce import sky
from kai.reduce import data
from kai.reduce import util
from kai.reduce import dar
from kai.reduce import kai_util
from kai import instruments
##########
# Change the epoch, instrument, and distortion solution.
##########
[docs]nirc2 = instruments.NIRC2() # don't necessarily need this as NIRC2 is the default.
##########
# Make electronic logs
# - run this first thing for a new observing run.
##########
[docs]def makelog():
"""Make an electronic log from all the files in the ../raw/ directory.
The file will be called kai.log and stored in the same directory.
@author Jessica Lu
@author Sylvana Yelda
"""
kai_util.makelog('../raw', instrument=nirc2)
# If you are reducing OSIRIS, you need to flip the images first.
# raw_files = glob.glob('../raw/i*.fits')
# osiris.flip_images(raw_files)
# Download weather data we will need.
dar.get_atm_conditions('2020')
return
###############
# Analyze darks
###############
[docs]def analyze_darks():
"""Analyze the dark_calib results
"""
util.mkdir('calib')
os.chdir('calib')
first_dark = 16
calib.analyzeDarkCalib(first_dark) # Doesn't support OSIRIS yet
os.chdir('../')
##########
# Reduce
##########
[docs]def go():
"""Do the full data reduction.
@author Jessica Lu
@author Sylvana Yelda
"""
####################
#
# Calibration files:
# everything created under calib/
#
####################
# Darks - created in subdir darks/
# Files n0001 - n0009
# - darks needed to make bad pixel mask
# - store the resulting dark in the file name that indicates the
# integration time (2.8s) and the coadds (10ca).
# -- If you use the OSIRIS image, you must include the full filename in the list.
darkFiles = list(range(1, 9+1))
calib.makedark(darkFiles, 'dark_2.8s_10ca.fits', instrument=nirc2)
# Flats - created in subdir flats/
# Files n0037,n0039,n0041,n0043,n0045: lamps off for flats at K
# Files n0038,n0040,n0042,n0044,n0046: lamps on for flats at K
offFiles = [37, 39, 41, 43, 45]
onFiles = [38, 40, 42, 44, 46]
calib.makeflat(onFiles, offFiles, 'flat_kp.fits', instrument=nirc2)
# Masks (assumes files were created under calib/darks/ and calib/flats/)
calib.makemask('dark_2.8s_10ca.fits', 'flat_kp.fits',
'supermask.fits', instrument=nirc2)
####################
#
# Galactic Center
#
####################
##########
# K-band reduction
##########
#util.mkdir('kp')
#os.chdir('kp')
# Nite 1:
# SCI frames (don't forget to add 1 at end): 108-237
# reference star position in first image: [407.77, 673.87]
# use a different Strehl star at position: [521.79, 398.92]
# Sky frames (don't forget to add 1 at end): 252-261
#
# -- If you have more than one position angle, make sure to
# clean them seperatly.
# -- Strehl and Ref src should be the pixel coordinates of a bright
# (but non saturated) source in the first exposure of sci_files.
# -- If you use the OSIRIS image, you must include the full filename in the list.
sci_files1 = list(range(108, 237+1))
refSrc1 = [407.77, 673.87]
strSrc1 = [521.79, 398.92]
sky_files1 = list(range(252, 261+1))
#
sky.makesky(sky_files1, 'nite1', 'kp', instrument=nirc2)
data.clean(sci_files1, 'nite1', 'kp', refSrc1, strSrc1, instrument=nirc2)
# Nite 2:
# SCI frames (don't forget to add 1 at end): 1108-1237
# reference star position in first image: [407.77, 673.87]
# use a different Strehl star at position: [521.79, 398.92]
# Sky frames (don't forget to add 1 at end): 1252-1261 and 1400-1405
# -- If you use the OSIRIS image, you must include the full filename in the list.
sci_files2 = list(range(1108, 1237+1))
refSrc2 = [407.77, 673.87]
strSrc2 = [521.79, 398.92]
sky_files2 = list(range(1252, 1261+1)) + list(range(1400, 1405+1))
#
sky.makesky(sky_files2, 'nite2', 'kp', instrument=nirc2)
data.clean(sci_files2, 'nite2', 'kp', refSrc2, strSrc2, instrument=nirc2)
# Combine:
# Combine all of them together (from both nights).
# Do frame selection (trim=1).
# Weight by Strehl (weight='strehl').
# Make 3 submaps.
# -- If you use the OSIRIS image, you must include the full filename in the list.
sci_files = sci_files1 + sci_files2
data.calcStrehl(sci_files, 'kp', instrument=nirc2)
data.combine(sci_files, 'kp', '06junlgs', trim=1, weight='strehl',
submaps=3, instrument=nirc2)
os.chdir('../')
############
# Lp
############
#util.mkdir('lp')
#os.chdir('lp')
# Nite 1
sky_files = list(range(38, 53+1))
sci_files = list(range(87, 94+1)) + list(range(115,122+1))
refSrc = [695., 543.]
strSrc = [680., 839.]
sky.makesky_lp(sky_files, 'nite1', 'lp')
data.clean(sci_files, 'nite1', 'lp', refSrc, strSrc)
data.calcStrehl(sci_files, 'lp')
data.combine(sci_files, 'lp', '06junlgs',
trim=0, weight=None, submaps=3)
os.chdir('../')
#
# Could do other wavelengths or different fields (e.g. Arches).
# Can pass in a field flag, for example:
# data.clean(arch_files,'nite1','kp',refSrc,strSrc,
# field='f1')
# data.combine(arch_files,'kp','06maylgs1',trim=1,weight='strehl'
# field='f1',submaps=3)
#
############
# Jackknife
############
[docs]def jackknife():
"""
Perform the Jackknife data reduction. The methodology is as follows:
For N total images, there are N stacked images created by data.combine(),
each of these combo frames consists of N-1 images. The suffix '_{i}' is
given to each jackknife combo frame (i.e. mag27maylgs_12_ks.fits would be
the 12th jackknife combo frame created). Submaps flag has been turned off
for this function, as it is not needed.
"""
##########
# Ks-band reduction
##########
# Nite 1
sci_files1 = list(range(173, 177+1))
sky_files1 = list(range(206, 215+1))
refSrc1 = [385., 440.] #This is the target nearest to center
sky.makesky(sky_files1, 'nite1', 'ks', instrument=nirc2)
data.clean(sci_files1, 'nite1', 'ks', refSrc1, refSrc1, instrument=nirc2)
# Nite 2
sci_files2 = list(range(195, 203+1))
sky_files2 = list(range(206, 215+1))
refSrc2 = [387., 443.] #This is the target nearest to center
sky.makesky(sky_files2, 'nite2', 'ks', instrument=nirc2)
data.clean(sci_files2, 'nite2', 'ks', refSrc2, refSrc2, instrument=nirc2)
#-----------------
sci_files = sci_files1 + sci_files2
for i in enumerate(sci_files, start=1):
jack_list = sci_files[:]
jack_list.remove(i[1])
data.calcStrehl(jack_list, 'ks', instrument=nirc2)
data.combine(jack_list, 'ks', '27maylgs', trim=1, weight='strehl',
instrument=nirc2, outSuffix='_' + str(i[0]))
os.chdir('reduce')


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HTML file structure is pretty straightforward. Easy HTML file represents sets of user interface elements. Don’t forget that many elements are combinable.
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| [ Team LiB ] |
13.3 Internal TypesSome of the internal Python objects that I mention in this section are hard to use. Using such objects correctly requires some study of Python's own C (or Java) sources. Such black magic is rarely needed, except to build general-purpose development frameworks and similar wizardly tasks. Once you do understand things in depth, Python empowers you to exert control, if and when you need to. Since Python exposes internal objects to your Python code, you can exert that control by coding in Python, even when a nodding acquaintance with C (or Java) is needed to understand what is going on. 13.3.1 Type ObjectsThe built-in type named type acts as a factory object, returning objects that are types themselves (type was a built-in function in Python 2.1 and earlier). Type objects don't need to support any special operations except equality comparison and representation as strings. Most type objects are callable, and return new instances of the type when called. In particular, built-in types such as int, float, list, str, tuple, and dict all work this way. The attributes of the types module are the built-in types, each with one or more names. For example, types.DictType and types.DictionaryType both refer to type({ }), also known since Python 2.2 as the built-in type dict. Besides being callable to generate instances, type objects are useful in Python 2.2 and later because you can subclass them, as covered in Chapter 5. 13.3.2 The Code Object TypeAs well as by using built-in function compile, you can also get a code object via the func_code attribute of a function or method object. A code object's co_varnames attribute is the tuple of names of local variables, including the formal arguments; the co_argcount attribute is the number of arguments. Code objects are not callable, but you can rebind the func_code attribute of a compatible function object in order to wrap a code object into callable form. Module new supplies a function to create a code object, as well as other functions to create instances, classes, functions, methods, and modules. Such needs are both rare and advanced, and are not covered further in this book. 13.3.3 The frame TypeFunction _getframe in module sys returns a frame object from Python's call stack. A frame object has attributes that supply information about the code executing in the frame and the execution state. Modules traceback and inspect help you access and display information, particularly when an exception is being handled. Chapter 17 provides more information about frames and tracebacks. |
| [ Team LiB ] |


Enabling LDAP Authentication for pgAdmin¶
To enable LDAP authentication for pgAdmin, you must configure the LDAP settings in the config_local.py or config_system.py file (see the config.py documentation) on the system where pgAdmin is installed in Server mode. You can copy these settings from config.py file and modify the values for the following parameters:
There are 3 ways to configure LDAP:
Bind as pgAdmin user
Anonymous bind
Dedicated user bind
Parameter |
Description |
|---|---|
AUTHENTICATION_SOURCES |
The default value for this parameter is internal. To enable LDAP authentication, you must include ldap in the list of values for this parameter. you can modify the value as follows:
|
LDAP_AUTO_CREATE_USER |
Specifies if you want to automatically create a pgAdmin user corresponding to the LDAP user credentials. Please note that LDAP password is not stored in the pgAdmin database. |
LDAP_CONNECTION_TIMEOUT |
Specifies the connection timeout (in seconds) for LDAP authentication. |
LDAP_SERVER_URI |
An LDAP URI is a combination of connection protocol (ldap or ldaps), IP address/hostname and port of the directory server that you want to connect to. For example, ‘ldap://<IP_ADDRESS>:389’ is a valid LDAP_SERVER_URI where ldap is the connection protocol, <IP_ADDRESS> is the IP address and 389 is the port. Port 636 is used for the ldaps communication protocol. |
LDAP_USERNAME_ATTRIBUTE |
Specifies the LDAP attribute that contains the usernames. For LDAP authentication, you need to enter the value of that particular attribute as username. For example, if you set the value of LDAP_USERNAME_ATTRIBUTE as ‘cn’ and you have defined ‘cn=admin’ in your LDAP server entries, you should be able to authenticate by entering ‘admin’ in the Email Address / Username field and its corresponding password in the Password field. |
LDAP_SEARCH_BASE_DN |
Specifies the distinguished name (DN) for the top-most user directory that you want to search. You can use this parameter for limiting the search request to a specific group of users. For example, if you want to search only within the Organizational Unit named sales, you can define the value for LDAP_SEARCH_BASE_DN parameter as following: LDAP_SEARCH_BASE_DN = ‘ou=sales,dc=example,dc=com’ This is an optional parameter only while binding as pgAdmin user. If you do not specify any value for LDAP_SEARCH_BASE_DN, then the value for LDAP_BASE_DN will be considered for the same. |
LDAP_SEARCH_FILTER |
Defines the criteria to retrieve matching entries in an LDAP search request. For example, LDAP_SEARCH_FILTER = ‘(objectclass=HR)’ setting searches only for users having HR as their objectClass attribute. |
LDAP_SEARCH_SCOPE |
Indicates the set of entries at or below the Base DN that maybe considered as potential matches for a search request. You can specify the scope of a search as either a base, level, or subtree search. A base search limits the search to the base object. A level search is restricted to the immediate children of a base object, but excludes the base object itself. A subtree search includes all child objects as well as the base object. |
LDAP_USE_STARTTLS |
Specifies if you want to use Transport Layer Security (TLS) for secure communication between LDAP clients and LDAP servers. If you specify the connection protocol in LDAP_SERVER_URI as ldaps, this parameter is ignored. |
LDAP_CA_CERT_FILE |
Specifies the path to the trusted CA certificate file. This parameter is applicable only if you are using ldaps as connection protocol and you have set LDAP_USE_STARTTLS parameter to True. |
LDAP_CERT_FILE |
Specifies the path to the server certificate file. This parameter is applicable only if you are using ldaps as connection protocol and you have set LDAP_USE_STARTTLS parameter to True. |
LDAP_KEY_FILE |
Specifies the path to the server private key file. This parameter is applicable only if you are using ldaps as connection protocol and you have set LDAP_USE_STARTTLS parameter to True. |
Bind as pgAdmin user |
|
LDAP_BASE_DN |
Specifies the base DN from where a server will start the search for users. For example, an LDAP search for any user will be performed by the server starting at the base DN (dc=example,dc=com). When the base DN matches, the full DN (cn=admin,dc=example,dc=com) is used to bind with the supplied password. |
Anonymous bind |
|
LDAP_ANONYMOUS_BIND |
Set this parameter to True for anonymous binding. After the connection is made, the pgadmin login user will be further authenticated by the username and password provided at the login screen. |
Dedicated user bind |
|
LDAP_BIND_USER |
The account of the user to log in for simple bind. Set this parameter to allow the connection to bind using a dedicated user. After the connection is made, the pgadmin login user will be further authenticated by the username and password provided at the login screen. at the login screen. |
LDAP_BIND_PASSWORD |
Password for simple bind. Specify the value if you have set the LDAP_BIND_USER parameter. |


| Exception | Description |
|---|---|
| ConnectorException |
Exception that should be used whenevery something invalid happens in a implementation of a
DataConnector |
| EntityProcessorException |
Is thrown, when an something went wrong during entity field mapping creation in a
EntityProcessor |
| ExtractorException |
Exception that should be used whenevery something invalid happens in a implementation of a
DataConnector |
| FactoryException |
Is thrown, when an something went wrong during entity creation process in a EntityFactory
|
| InvalidEntityException |
Is thrown, when a checked entity is illegal and thus not usable
|
| InvalidGridException | |
| ParsingException | |
| ProcessorProviderException |
Exception that should be used whenever an error occurs in a instance of
ProcessorProvider |
| SinkException |
Exception that should be used whenever an error occurs in a instance of a
DataSink |
| SourceException |
Exception that should be used whenever an error occurs in a instance of a
DataSource |
| TopologyException | |
| UnsafeEntityException |
Is thrown, when a checked entity may be unsafe to use, but is not necessarily unsafe
|
| VoltageLevelException |
Is thrown in case, there is some problem when building VoltageLevelInformation
|


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Tom Austin - Cello
Tom is a member of the Minnesota Opera Orchestra and a freelance musician. He has over twenty years experience of teaching. He uses Dounis techniques, the Suzuki method and traditional techniques to bring his students to their highest level of musicianship while having fun at the same time. Students are given many opportunities throughout the year to perform in a nurturing, non-competitive community atmosphere. Tom studied at UW-Madison, UW-Milwaukee and with George Neikurg in Boston.
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Miya hold’s her Bachelor’s degree from Augsburg College, where she studied violin performance and string pedagogy with Mary Budd Horozaniecki. Miya has many years of experience teaching, coaching and performing stringed instruments. She brings her vast knowledge of theory, technique, ensemble work, musicality, performance technique and creativity to the studio. Miya is currently teaching an after school strings program at Hale Elementary school, and coaching violin sectionals for the Southwest High School orchestra. Miya has always held a strong focus in both solo performance and chamber music studies. She had the opportunity to solo with the Augsburg Chamber Orchestra as a part of winning the concerto competition two years in a row. Currently Miya and her trio can be found performing at many community and private events around the Twin Cities area.
Miya places a focus on the needs of each individual student in attempts to create a very supportive and constructive environment for learning. She tries to work with the goals and desires of each student and family. She provides a combination of fun and lightheartedness with hard work, discipline and challenge, to help each student excel in their musical journey. She is a strong advocate for student performing as she feels this brings a great deal of strength to the student in their futures as a musician or otherwise. Miya Kunin’s String Studio offers many performance opportunities throughout the year, including 3 concert recitals, 2 nursing home recitals, monthly masterclasses, annual practice marathon. All ages and levels of ability are welcome, please inquire about available lesson times. Schedule times change at the beginning and end of the school year. If there are no times currently available that work in your schedule, you may be placed on the waiting list.


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