THE SCORE (2001) / ** 1/2
Directed by Frank Oz. Screenplay by Kario Salem, Lem Dobbs, and Scott Marshall Smith, based on a story by Daniel E Taylor and Salem. Starring Robert De Niro, Edward Norton, Marlon Brando. Running time: 124 minutes. Rated AA for offensive language by the MFCB. Reviewed on August 21st, 2001.
By SHANNON PATRICK SULLIVAN
Synopsis: Nick (De Niro) is a world-class burglar on the verge of retirement. At the behest of his old pal Max (Brando), Nick agrees to one last job, stealing a priceless sceptre from a government facility. Nick reluctantly teams up with a con man named Jack (Norton), who has insinuated himself inside the facility. But as Nick formulates a complex plan to acquire the sceptre, can he continue to trust the ambitious Jack?
Review: "The Score" is an entertaining, well-made film, but one that -- given the potency of its stars -- just isn't as good as it probably should have been. The mechanics of an enjoyable heist thriller are competently executed, but the picture lacks heart. The hook of the "criminal pulling one last job" is too familiar, and efforts to flesh out and lionise De Niro's Nick generally fall flat. Indeed, scenes such as those involving Angela Bassett (as Nick's love interest) just bog the film down; they feel superficial and obvious, and the two actors share little chemistry.  But the real star of the show is Norton, whose turn here as talented but conniving Jack is terrific to watch. The screenplay itself is fine, throwing in the requisite number of crosses and double crosses to maintain audience interest. Oz does a good job of keeping things lively even when working through the seemingly tedious logistics of Nick's plan; the final half hour is undeniably rivetting. There is a sense, though, of an opportunity missed. It's rare to gather three generations of Hollywood star power in one movie, and to waste it on what is, essentially, just another by-the-numbers action film (even an unusually intelligent one) seems, well, criminal.
Copyright © 2001 Shannon Patrick Sullivan. Archived at The Popcorn Gallery, http://www.physics.mun.ca/~sps/movies.html
| Shannon Patrick Sullivan |<EMAIL_ADDRESS>| +---------------------------------+---------------------------------+ / Doctor Who: A Brief History of Time (Travel) go.to/drwho-history \ \__ We are all in the gutter but some of us are looking at the stars __/
========== X-RAMR-ID: 29383 X-Language: en X-RT-ReviewID: 247031 X-RT-TitleID: 1108799 X-RT-SourceID: 886 X-RT-AuthorID: 1699 X-RT-RatingText: 2.5/4
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{% extends "yaba/layouts/base.html" %}
{% block title %}{{ post.title }} | {{ block.super }}{% endblock %}
{% block main_content %}
{% include "posts/partials/_post.html" with post_context="detail" %}
{% include "posts/partials/_post_pagination.html" %}
{% include "posts/partials/_disqus.html" %}
{% include "posts/partials/_post_comments.html" %}
{% endblock %}


You need a subscription before you can request historical data for a dataset. On the time dimension, you can request an amount of historical data based on a trailing number of bars, a trailing period of time, or a defined period of time. On the dataset dimension, you can request historical data for a single dataset subscription, a subset of the dataset subscriptions you created in your notebook, or all of the dataset subscriptions in your notebook.
To get historical data for a number of trailing bars, call the History
method with the Symbol
object(s) and an integer.
// Slice objects var singleHistorySlice = qb.History(vix, 10); var subsetHistorySlice = qb.History(new[] {vix, v3m}, 10); var allHistorySlice = qb.History(10); // CBOE objects var singleHistoryDataObjects = qb.History<CBOE>(vix, 10); var subsetHistoryDataObjects = qb.History<CBOE>(new[] {vix, v3m}, 10); var allHistoryDataObjects = qb.History<CBOE>(qb.Securities.Keys, 10);
# DataFrame single_history_df = qb.History(vix, 10) subset_history_df = qb.History([vix, v3m], 10) all_history_df = qb.History(qb.Securities.Keys, 10) # Slice objects all_history_slice = qb.History(10) # CBOE objects single_history_data_objects = qb.History[CBOE](vix, 10) subset_history_data_objects = qb.History[CBOE]([vix, v3m], 10)
all_history_data_objects = qb.History[CBOE](qb.Securities.Keys, 10)
The preceding calls return the most recent bars, excluding periods of time when the exchange was closed.
To get historical data for a trailing period of time, call the History
method with the Symbol
object(s) and a TimeSpan
timedelta
.
// Slice objects var singleHistorySlice = qb.History(vix, TimeSpan.FromDays(3)); var subsetHistorySlice = qb.History(new[] {vix, v3m}, TimeSpan.FromDays(3)); var allHistorySlice = qb.History(10); // CBOE objects var singleHistoryDataObjects = qb.History<CBOE>(vix, TimeSpan.FromDays(3));
var subsetHistoryDataObjects = qb.History<CBOE>(new[] {vix, v3m}, TimeSpan.FromDays(3));
var allHistoryDataObjects = qb.History<CBOE>(TimeSpan.FromDays(3));
# DataFrame single_history_df = qb.History(vix, timedelta(days=3)) subset_history_df = qb.History([vix, v3m], timedelta(days=3)) all_history_df = qb.History(qb.Securities.Keys, timedelta(days=3)) # Slice objects all_history_slice = qb.History(timedelta(days=3)) # CBOE objects single_history_data_objects = qb.History[CBOE](vix, timedelta(days=3))
subset_history_data_objects = qb.History[CBOE]([vix, v3m], timedelta(days=3))
all_history_data_objects = qb.History[CBOE](qb.Securities.Keys, timedelta(days=3))
The preceding calls return the most recent bars or ticks, excluding periods of time when the exchange was closed.
To get historical data for a specific period of time, call the History
method with the Symbol
object(s), a start DateTime
datetime
, and an end DateTime
datetime
. The start and end times you provide are based in the notebook time zone.
var startTime = new DateTime(2021, 1, 1); var endTime = new DateTime(2021, 3, 1); // Slice objects var singleHistorySlice = qb.History(vix, startTime, endTime); var subsetHistorySlice = qb.History(new[] {vix, v3m}, startTime, endTime); var allHistorySlice = qb.History(startTime, endTime); // CBOE objects var singleHistoryDataObjects = qb.History<CBOE>(vix, startTime, endTime);
var subsetHistoryDataObjects = qb.History<CBOE>(new[] {vix, v3m}, startTime, endTime);
var allHistoryDataObjects = qb.History<CBOE>(qb.Securities.Keys, startTime, endTime);
start_time = datetime(2021, 1, 1) end_time = datetime(2021, 3, 1) # DataFrame single_history_df = qb.History(vix, start_time, end_time) subset_history_df = qb.History([vix, v3m], start_time, end_time) all_history_df = qb.History(qb.Securities.Keys, start_time, end_time) # Slice objects all_history_slice = qb.History(start_time, end_time) # CBOE objects single_history_data_objects = qb.History[CBOE](vix, start_time, end_time)
subset_history_data_objects = qb.History[CBOE]([vix, v3m], start_time, end_time)
all_history_data_objects = qb.History[CBOE](qb.Securities.Keys, start_time, end_time)
The preceding calls return the bars or ticks that have a timestamp within the defined period of time.
If you do not pass a resolution to the History
method, the History
method uses the resolution that the AddData
method used when you created the subscription.


| < Day Day Up > |
|
There are books on algorithms that are rigorous but incomplete and others that cover masses of material but lack rigor. Introduction to Algorithms combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became the standard reference for professionals and a widely used text in universities worldwide. The second edition features new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming, as well as extensive revisions to virtually every section of the book. In a subtle but important change, loop invariants are introduced early and used throughout the text to prove algorithm correctness. Without changing the mathematical and analytic focus, the authors have moved much of the mathematical foundations material from Part I to an appendix and have included additional motivational material at the beginning. About the Authors Thomas H. Cormen is Associate Professor of Computer Science at Dartmouth College. Charles E. Leiserson is Professor of Computer Science and Electrical Engineering at the Massachusetts Institute of Technology. Ronald L. Rivest is Andrew and Erna Viterbi Professor of Computer Science at the Massachusetts Institute of Technology. Clifford Stein is Associate Professor of Industrial Engineering and Operations Research at Columbia University. |
| < Day Day Up > |


WebQuestions
WebQuestions [1] is a significantly large QA dataset constructed to solve real-world questions. Its questions were collected from Google Suggest API and answers were crowdsourced via Amazon Mechanic Turk. It consists of 5810 questions-answering pairs.
Leaderboard
References
[1] Berant, Jonathan, Andrew Chou, Roy Frostig, and Percy Liang. Semantic parsing on freebase from question-answer pairs. In Proceedings of the 2013 conference on empirical methods in natural language processing, pp. 1533-1544. 2013.


Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 4
You can save yourself the effort and use shop-bought filo pastry for this savoury Greek pastry. But once you’ve mastered the technique you’ll want to return to this delicious vegetarian recipe time and time again.
Equipment and preparation: You will need a pasta machine for this recipe.
Make the pastry by sifting the flour into a bowl and making a well in the middle. Mix the water and oil together and gradually pour it onto the flour, mixing as you go. You’re looking for a soft, but not sticky dough. If the mix is too wet, add a sprinkling of flour.
Once the dough has come together, take it out of the bowl and start kneading. The dough should be at a consistency where you shouldn’t need any flour to knead. Work the dough for about 10-15 minutes, or until it has a smooth appearance. Wrap in cling film and leave to rest in the fridge for a minimum of one hour.
While the dough is resting, make the filling. Heat a large wide pan with a lid over a medium heat. Wash the spinach thoroughly and add it to the pan, squashing it down if necessary. Season with salt and pepper and put the lid on.
Let the spinach cook down for about five minutes, stirring occasionally until it’s completely cooked. Drain into a colander and press with the back of a spoon to get rid of as much moisture as possible. Press down with kitchen paper to remove any excess moisture. Return to the pan to further dry out, and add the nutmeg and lemon zest.
Turn off the heat and leave until completely cool. Once cold, stir through the egg, crumble in the feta and mix thoroughly. Check the seasoning and add salt and freshly ground pepper, to taste.
Before making the pastry it is important to have everything ready. Lay out a large sheet of baking parchment and dust generously with cornflour. Melt the butter ready for brushing the pastry and have a flat baking tray buttered and a pasta machine ready. Preheat the oven to 175C/350F/Gas 4.
To make the pastry, divide it into five equal balls keeping them covered with a damp tea towel to prevent drying. Take one ball and flatten to a rough rectangle using a rolling pin. Sprinkle your hands and the pastry liberally with cornflour.
Beginning with the widest setting, pass the pastry through the pasta machine, and continue until it has gone through to setting number seven (of nine). You don’t want to take it through the thinnest setting, as you need to be able to stretch it more with your hands. Using the back of your hands gently stretch the pastry width ways until it is as thin as you can manage. Don’t worry about the odd hole, as the layers should cover this up. You should have a long rectangular shape. Lay the pastry onto the baking parchment, brush with melted butter and cover while you roll out the rest.
Each time you roll a sheet of pastry, lay it over the top of the previous sheet brushing with butter between each layer. Continue until you have used all the pastry.
Place the spinach along one of the long edges of the rectangle. Using the baking parchment underneath, roll up the spinach inside the pastry, so that you form a long sausage shape. Fold over the ends before you roll to prevent any filling from coming out. Starting with one end, roll up the sausage into a spiral shape and gently slide onto the greased baking tray. Add the egg yolk to some melted butter and brush this mixture over the spanakopita.
Sprinkle with the sesame seeds and sea salt and bake for 30-35 minutes, or until golden-brown. Serve in slices.


9 new trailers you need to watch: The Irishman, Call of the Wild, Cats, and more
by Chris SmithA Beautiful Day in the Neighborhood, 21 Bridges, and Dark Waters are three of the new movies hitting cinemas this weekend, but all of them will just have to “let it go,” as there’s no way they’re beating Frozen II at the box office. The sequel so many fans of the first film have been waiting for is finally hitting theaters, and it’ll probably make a killing.
I will take the unpopular route and say I’d rather watch 21 Bridges or Dark Waters, but that’s just me. Over on streaming, Christmas is coming, if that wasn’t clear already. A bunch of new holiday-themed content is already streaming on Netflix, including Klaus and The Knight Before Christmas, and even more is on the way, as you’ll see below.
The brand new A Christmas Carol isn’t a film, yet I still added it to this week’s trailer round-up. It’s a three-part limited series that premieres on December 19th. You’ll probably want to see it. The final trailer for The Irishman is also out this week, with Netflix’s film with huge Oscar aspirations set to premiere next Wednesday. And yes, there’s a new Cats trailer for you, as well as a Jane Austen story this week. Not to mention that Harrison Ford made an epic movie about a very good boy. You’ll see it all below:


Chapter Address
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Who We Are
Find out about our mission to make better health possible for humankind.
Unjha Formulation Limited
Know more about Unjha Formulation Limited.
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Board Committees
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Management Team
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Abbott GST/E-Payment Modes.
Enclosed list of State wise GSTIN number for Abbott India Limited |


Designers will usually use the SketchApp1 app to create beautiful UI components...
Now, Designers can simply drag and drop the SketchApp project file (*.sketch) containing the UI component into xLayers to preview their creation directly inside the browser.
xLayers even has a 3D viewing mode allowing both Designers and Developers to preview all the layers that compose the UI component, and inspect their size, position and color properties.
Developers would usually use xLayers to export the UI component made with the SketchApp app as an Angular, Vue or React component and import it into an existing application.
xLayers is fully Open Source and available on GitHub.


@Model(className = "Comm", properties={}) final class Communication { @Model(className = "Request", properties = { @Property(name = "msg", type = MsgType.class), @Property(name = "username", type = String.class), @Property(name = "password", type = String.class), @Property(name = "gameId", type = String.class), @Property(name = "color", type = Color.class), @Property(name = "from", type = String.class), @Property(name = "to", type = String.class), @Property(name = "observer", type = boolean.class), }) static class RequestModel { } @Model(className = "Response", properties = { @Property(name = "msg", type = MsgType.class), @Property(name = "turn", type = Color.class), @Property(name = "color", type = Color.class), @Property(name = "gameId", type = String.class), @Property(name = "status", type = String.class), @Property(name = "moves", type = String.class, array = true), @Property(name = "from", type = String.class), @Property(name = "to", type = String.class), }) static class ResponseModel { } enum MsgType { CreateGame, QueryGames, SendMove, JoinGame, UpdateGame; } enum Color { W, B; } }And then it is just a matter of creating the communication end point. As usual with @OnReceive annotation one starts with defining the response handler:
@OnReceive( data = Request.class, url = "{url}", method = "WebSocket", onError = "anErrorHappened" ) static void queryServer(Comm c, Response r) { if (r == null) { // connection stablished! return; } // message arrived! switch (r.getMsg()) { case CreateGame: /* do something */ break; case QueryGames: /* do something */ break; case SendMove: /* do something */ break; case JoinGame: /* do something */ break; case UpdateGame: /* do something */ break; } } static void anErrorHappened(Comm c, Exception t) { if (t == null) { // OK, connection has been closed } else { // handle the error t somehow } }The WebSockets specification usually defines what should happen onopen, onmessage, onclose and onerror. All these messages are supported in the previous example as well:
null
message
null
exception
Comm
class. One can use it to establish communication,
send messages and close the communication channel. Here are three methods
showing how to do it:
static void connect(Comm c) {
// open a websocket channel:
c.queryServer("ws://server/path", null);
// the method returns immediately and starts establishing the connection
// once that is finished either onopen or onerror type of
// message is delivered
}
static void sendMessage(Comm c, Request r) {
// sends the message to already openned websocket channel:
c.queryServer("ws://server/path", r);
}
static void disconnect(Comm c) {
// sending null
again, closes the connection
c.queryServer("ws://server/path", null);
}
One cannot change the URL while a connection is open otherwise one
risks IllegalStateException
runtime exceptions. To connect
to different web socket server, one needs to close the connection first and
only later open new one with different URL.
Enjoy WebSockets via @OnReceive!


MONTAG magazine was launched by Grover – the easy-to-use flexible subscription platform for the latest tech products - to explore where new technology is taking us. With Grover, you can take home new technology without having to pay the full retail price – so read about the future and then check out what's available right now...
As a society, we've always been using the latest technology to cling onto loved ones that we've lost. Whether it's death-masks or post-death family portraits, what's clear that letting go is incredibly hard. So, how will this obsession point to how we'll deal with death in the future - when we can recreate dead people in VR?
One remarkable consequence of technology evolving at an exponential rate is that we’re able to dig into our innermost desires and confidently predict that they’ll be fulfilled within a few years without sounding like a lunatic.
A lot of future-gazing becomes a string of simple questions which mask the fact that we’re strolling into a vast moral maze. These questions are ones we have been internally haggling over for as long as we’ve been able to: how do we deal with the randomness of life, death, and everything in between – things we want, but can’t control?
So here’s a question that will test your moral fortitude: if you could bring a loved one back to life, would you do it?
A soul with a body, not a body with a soul.
We cling to our physical selves for dear life - literally. It doesn’t really matter who said it first - a forgotten Church of England Reverend, author C.S. Lewis or, erm, best-selling self-help author Wayne Dyer - as humans we’ve always struggled with the idea of being “a soul that happens to have a body, not a body with a soul.”
Whether it’s prioritising physical well-being over mental, endlessly scouring for new wonder-diets, or stating explicitly that one’s aim is to live forever, whenever we look to maintain life, we look to the physical world.
The weird ways we have kept alive memories of the dead points at us being ill-equipped to deal with the brutal reality of death.
We don't only kept hold of items that belonged to dead friends and relatives as mementoes - our society has also shown a frankly odd and macabre propensity for preserving things that look just like dead people.
Depending on your perspective, the weird ways we have kept alive memories of the dead points at us being ill-equipped - or hopelessly unable - to deal with the brutal reality of death.
Death Mask Replica
Only 40 per cent of children born in the 1850s reached their 60th birthday, making death, as well as life, a state to be preserved for posterity.
Death masks are odd: a teenage goth’s take on Madame Tussaud’s. And while to our modern minds capturing a likeness of a face just after the moment of expiration might beg the question, “hey - why not just take the impression of the mask when the subject is alive?” it does point at a rather more blasé – and possibly more healthy – approach to death, from an era when people experienced death much more often.
The Victorians, naturally, found an ideal balance between their penchant for pioneering innovative technology and their deep-rooted preoccupation with death.
The idea of a death mask was to revisit a person and reflect on more than loss. A perfect brass copy of Napoleon’s face, for instance, is part of a collection of items that explain the whole cycle of his life, not simply a last-ditch attempt at recording his likeness forever.
Some death masks were cast multiple times; one became a fashionable wall decoration among the early 20th Century Parisian art set.
The Victorians, naturally, found an ideal balance between their penchant for pioneering innovative technology and their deep-rooted preoccupation with death. Quickly taking advantage of new photographic technology, they invented the Memento Mori photo: a family snap with a difference.
Rounding up the family and leaning in around a corpse meant that the Memento Mori was half celebration of life, and half stern reminder of the unavoidable nature of death.
It was the perfect buzzkill-keepsake for our moustachioed and crinoline-swathed forbearers, who followed the gloomy example of Queen Victoria, in the midst of spending her final forty years wearing black and mourning the loss of her beloved husband, cousin, and alleged genital piercing enthusiast, Prince Albert.
It also turned out that the dead were ideal portrait subjects in an era of long exposures where the slightest movement could spoilt a snapshot. Consider the irony of the utter, inherent stillness of your death providing the most conveniently clear image of you, that you’d never see.
Snapping selfies with corpses aside, is our behaviour today really much different?  Do you have a dusty VHS – that you couldn’t even consider playing without a trip to a fleamarket – tucked away somewhere safe, because it’s the only imagery you have of Auntie Vera?
Are you keeping love letters, just in case the sender dies before you?
Illustration by Edoardo Amoruso
An augmented family
If you’d like a dead relative to accompany your every step in life, you’ll be able to have them do just that.
Like the Victorians, we’re living in a time of rapid technological development. And if the wish-fulfilment they sought was to be able to occasionally gaze at the face of someone who had died, then our generation's equivalent is going to be a little more… involved.
While it's difficult to overstate the significance of the coming Augmented Reality revolution, it's also easy to get distracted by banality. AR won’t just mean email notifications popping up into your field of vision (although it will mean that too – get used to never escaping your workaholic boss) – eventually, AR means experiencing the world in the exact way you’d prefer it to be.
And if you’d prefer to have a dead relative appear to accompany you every step of the way, you’ll be able to have them do just that.
This is the uncanny power of AR: scoff at this idea if you like – but people want it, so it’s coming. It will soon be time to make a tough but important decision: will you let the dead-and-gone remain dead and gone?
 But this stroll through the four stages of Future Grief takes a trivial series of steps. Here’s how this future could creep in under your nose.
Step 1: Now, Part 1: Scan yourself. Scan everyone.
We’re already keeping avatars of loved ones. In the UK, you can pull on your flashiest clothes, drive to a supermarket, step into a scanning booth – and wait for the delivery of a 15cm-tall 3D-printed model of yourself.
You might think of it as a fun gimmick or use it as an ironically self-referential paperweight. But when you kick the can, do you think your relatives might fetishise it as an enhanced snapshot of the real you, warts and all? The wonky posture, the dated clothes, the regrettable hairdo - this lump of 3d-printed plastic is a tangible echo of you, and it can fit in a handbag.
Step 2: Now, Part 2: Your home videos, in volumetric 3D.
You can already record a person as a volumetric 3D model. If you have enough GoPros (53, to be exact), you can do it yourself at home.  Yours is as good as anyone’s, right?) and your great-great-great grandchildren will be able to load you up into their AR headsets. When they’ve stopped giggling at the rudimentary nature of the graphics, they’ll experience what it was like to have you right there in front of them.
Step 3: Five years’ time: You are the augmentation.
You might not be able to meet these great-great-great sniggering whippersnappers, but they can meet you. And that's the dream of Augmented Memento Mori: everlasting life.
This means that in the future, when your descendants gather at Christmas and fancy hearing your stories one more time, they’ll load "you" up — and you’ll appear to walk through a door, sit down next to the fireplace and share the anecdotes with the family you never met.
Step 4: 10-15 years’ time: Uncle Dave, life guide
When we are all wearing AR headsets as a matter of course, the 3D model of you will become an avatar; a real-life video game character. You don’t even need to record your movements or voice specifically. Adobe has already created the technology needed to make “you” say anything anyone else wants.
You’ll be an AI-powered avatar for the family member who misses you the most – not dissimilar to Navi in The Ocarina of Time, just less annoying. The technology will combine all the data we need: calendars, maps, wikis, etc, then filter it through AI, and create a "you" that is infinitely knowledgable, and yet still identifiably you.
Thus, your new life after death will be as a helpful guide: hinting, pointing, encouraging, reminiscing, defending, and urging someone who really needs you there.
You'll live forever (for someone else)
Similar to how your best chance of a having a perfect photo taken in 1849 would involve you being well and truly dead, the ultimate irony of the AR Memento Mori is that we won’t benefit from it at all. Life after death doesn't involve the deceased after all. It’s all for the living.
 And just like how corpses were dressed, arranged and posed for photographs, these avatars will be filtered through the expectations of others.
Short tempers will be whittled down, questionable jokes swapped for good ones, a tendency to drink too much at family parties subtly erased.
You'll become the person they need, not the person you are; ready to guide and support whenever they need you. It’s a wonderful idea. Of course some people won’t ever be able to let you go – and would you really want them too?
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DMZ
Use the DMZ template building block template to create a perimeter network, also known as a DMZ. A DMZ allows access to specific network resources while keeping the rest of the network safely isolated from external users. This building block tempalte can be used to deploy resources that secure traffic between Azure and an on-premises datacenter or between Azure and the Internet.
Parameters
This building block includes two parameters: dmzSettings and virtualNetworkSettings.
dmzSettings
The dmzSettings parameter specifies properties to configure the DMZ. It contains the following properties:
- namePrefix
Value. Required.
The name prefix applied to all VMs, appliances, and availability sets created by this template. - endpoint
Object. Required.
The endpoint object contains values that configure the DMZ endpoint. DMZ endpoints are specified using the following object:- hasPublicEndpoint
Value. Required.
Valid values:yes
|no
Specifies if the DMZ includes a connection public internet. Ifyes
, a public IP will be assigned to the load balancer used by the NVAs. - domainNameLabel
Value. Required.
Specifies the DNS domain name label for the public IP. Creates a mapping from domainnamelabel.location.cloudapp.azure.com to the public IP address in Azure DNS servers. - internalLoadBalancerSettings
Object. Required.
If hasPublicEndpoint is set tono
, this object specifies the private IP address assigned to the internal load balancer. Set to an empty object if hasPublicEndpoint is set toyes
. The internal load balancer settings are specified by the following object:- privateIPAddress
Value. Optional.
The private IP address to use for the load balancer. - subnetName
Value. Optional.
Specifies the subnet the that internal load balancer is attached to.
- privateIPAddress
- hasPublicEndpoint
- applianceSettings
Object. Required.
Specifies the configuration information for the load balancer and VMs that perform routing between the external and internal networks. The configuration information is specified by the following object:- ports
Array of objects. At least one required.
Specifies port settings that define a load balancer rule. The port settings are specified by the following object:- port
Value. Required.
Integer value of the port number used for the load balancing rule. - protocol
Value. Required.
Valid values:Tcp
|Udp
Protocol used for the load balancing rule. - healthProbe
Value. Required.
Name of the health probe object from the healthProbes array below that will be used by the load balancer to monitor health of the VMs.
- port
- healthProbes
Array of objects. At least one required.
Specifies the configuration information for a health probe used by the load balancer to determine the health of a VM. The health probe configuration information is specified by the following object:- name
Value. Required.
Name of the probe. - port
Value. Required.
Integer value of the port number probed to check machine health. - protocol
Value. Required.
Valid values:Http
|Tcp
Protocol used to perform the probe. - requestPath
Value. Required if protocol value isHttp
, blank ifTcp
.
HTTP path to query on the VM for health status.
- name
- virtualMachineSettings
Object. Required.
Specifices the configuration information for the VMs used in the DMZ for firewall and routing services between the external and internal networks. Note that only Linux VMs are supported by this building block template. The VM configuration settings are specified by the following object:- count
Value. Required.
Integer value of the number of VMs to create. - size
Value. Required.
String representing size of the VMs to create. This string is listed in theSize
column of the table that describes each VM type in the sizes for Linux virtual machines in Azure document. Note that this template creates premium storage accounts and only supports VM sizes that support premium storage. See the ‘premium storage-supported VMs’ section of the [high-performance premium storage and unmanaged and managed Azure VM disks]((https://docs.microsoft.com/azure/storage/storage-premium-storage) document for more information. - adminUsername
Value. Required.
Administrator user name for the VM operating system (OS). - adminPassword
Value. Required if osAuthenticationType ispassword
, optional ifssh
.
Administrator password for the VM OS. - sshPublicKey
Value. Required if osAuthenticationType isssh
, set to empty value ifpassword
.
SSH key for the VM OS Administrator account. - osAuthenticationType
Value. Required.
Valid values:password
|ssh
Login authentication type, either using a password or SSH key. - imageReference
Object. Required.
Specifies the OS image for the VM. Only Linux based images are supported. The operating system is specified by the following object:- publisher
Value. Required.
Publisher of the OS. Note that valid strings for this value as well as the next three values can be obtained using Azure CLI or PowerShell. - offer
Value. Required.
OS offer. - sku
Value. Required.
OS Product SKU. - version
Value. Required.
OS Version.
- publisher
- extensions
Array of objects. At least one required.
Specifies configuration information for VM Extensions. The VM extension configuration is specified using the following object:- name
Value. Required.
Specifies the display name of this extension. - publisher
Value. Required.
Extension publisher name. - type
Value. Required.
Extension type. - typeHandlerVersion
Value. Required.
Extension version. - autoUpgradeMinorVersion
Value. Required.
Valid values:true
|false
Specifies if the extension is allowed to upgrade automatically. - settingsConfigMapperUri
Value. Required.
Valid value:https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/templates/resources/Microsoft.Compute/virtualMachines/extensions/vm-extension-passthrough-settings-mapper.json
- settingsConfig
Object. Required.
Object specifying extension-specific settings. Set to empty if there are none. - protectedSettingsConfig
Object. Required.
Object specifying extension-specific settings to be encrypted. Set to empty if there are none.
- name
- count
- ports
- securedAddressSpace
Array of values. Required.
Specifies an array of CIDR blocks defining the secured internal subnets that the DMZ can communicate with. - subnets
Object. Required.
Specifies the subnets used by the NICs handling traffic traffic through the DMZ. The subnets are specified by the following object:- useExistingSubnets
Value. Required.
Valid values:yes
|no
Set toyes
to use pre-existing subnets or set tono
to create new ones. - inSubnet
Object. Required.
Specifies settings for the subnet handling traffic coming from the unsecured external network. The subnet is specified using the following object:- name
Value. Required.
Name of subnet. - addressPrefix
Value. Required.
If useExistingSubnets is set tono
, specify a CIDR block to use when defining new subnet. Otherwise, set this to an empty value.
- name
- outSubnet
Object. Required.
Specifies settings for the subnet handling traffic going out to the secured internal network. The subnet is specified using the following object:- name
Value. Required.
Name of subnet to use. - addressPrefix
Value. Required.
If useExistingSubnets is set tono
, specify a CIDR block to use when defining new subnet. Otherwise, leave this value empty.
- name
- useExistingSubnets
virtualNetworkSettings
The virtualNetworkSettings parameter is an object that specifies the existing VNet and resource group associated with your DMZ. It contains the following properties:
- name
Value. Required.
Specifies the name of the existing VNet that the DMZ will be deployed to. - resourceGroup
Value. Required.
Specifies the name of the existing Azure Resource Group that the DMZ belongs to.
Deployment
You can deploy a building block by using the Azure portal, PowerShell, or Azure CLI.
Azure portal
To deploy this building block template using a parameter file at a publicly hosted URI, follow these steps:
- Click the button below:
- Wait for the Azure Portal to open.
- In the
Basics
section:- Select your
Subscription
from the drop-down list. - For the
Resource group
, you can either create a new resource group or use an existing resource group. - Select the region where you’d like to deploy the VNet in the
Location
drop-down list.
- Select your
- In the
Settings
section, enter a URI to a valid parameter file. There are several example parameter files in Github. Note that if you want to use one of these parameter files the URI must be the path to theraw
file in Github. - Review the terms and conditions, then click the I agree to the terms and conditions stated above checkbox.
- Click the Purchase button.
- Wait for the deployment to complete.
PowerShell
To deploy this building block template using a parameter file hosted at a publicly available URI, follow these steps:
- Upload your parameter file to a location with a publicly available URI.
- Log in to Azure using your selected subscription:
Login-AzureRmAccount -SubscriptionId <your subscription ID>
- If you do not have an existing resource group, run the New-AzureRmResourceGroup cmdlet to create one as shown below:
New-AzureRmResourceGroup -Location <Target Azure Region> -Name <Resource Group Name>
- Deploy a VNet. For more information see the vnet-n-subnet building block template.
- Run the New-AzureRmResourceGroupDeployment cmdlet as shown below:
New-AzureRmResourceGroupDeployment -ResourceGroupName <Resource Group Name> -TemplateUri https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/azuredeploy.json -templateParameterUriFromTemplate <URI of parameter file>
Example
The cmdlet below creates deploys the internal-dmz-new-subnets parameter file from the scenarios folder in Github.
Note that this scenario requires an existing resource group named bb-dev-rg
, and a VNet named bb-dev-vnet
with a <IP_ADDRESS>/22
address space. The VNet must have one subnet with a <IP_ADDRESS>/24
address space, one with a <IP_ADDRESS>/24
address space, and one named GatewaySubnet
with any address space.
New-AzureRmResourceGroupDeployment -ResourceGroupName bb-dev-rg -TemplateUri https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/azuredeploy.json -templateParameterUriFromTemplate https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/parameters/internal-dmz-new-subnets.parameters.json
The parameter files in the scenarios folder include hard-coded administrator usernames and passwords. It is strongly recommended that you immediately change the administrator password on the NVA VMs when the deployment is complete.
Azure CLI
Before you begin, install the latest version of the Azure CLI.
To deploy the building block template using a parameter file hosted at a publicly available URI, follow these steps:
- Upload your parameter file to a location with a publicly available URI.
- Log in to Azure using your selected subscripton:
az login
- Set your selected subscription:
az account set --subscription <your subscripton ID>
- If you do not have an existing resource group, create a new one using the following command:
az group create -l <Target Azure Region> -n <Resource Group Name>
- Deploy a VNet. For more information see the vnet-n-subnet building block template.
- Run the
az group deployment create
command as shown below:az group deployment create -g <Resource Group Name> --template-uri https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/azuredeploy.json --parameters "{\"templateParameterUri\":{\"value\":\"<parameter file public URI>\"}}"
Example
The cmdlet below deploys the internal-dmz-new-subnets parameter file from the scenarios folder in Github.
Note that this scenario requires an existing resource group named bb-dev-rg
, and a VNet named bb-dev-vnet
with a <IP_ADDRESS>/22
address space. The VNet must have one subnet with a <IP_ADDRESS>/24
address space, one with a <IP_ADDRESS>/24
address space, and one named GatewaySubnet
with any address space.
az login
az group deployment create -g bb-dev-rg --template-uri https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/azuredeploy.json --parameters "{\"templateParameterUri\":{\"value\":\"https://raw.githubusercontent.com/mspnp/template-building-blocks/v1.0.0/scenarios/dmz/parameters/internal-dmz-new-subnets.parameters.json\"}}"
The parameter files in the scenarios folder include hard-coded administrator usernames and passwords. It is strongly recommended that you immediately change the administrator password on the NVA VMs when the deployment is complete.


task(fn, @key args, suspended, name = void, group)
Create and return a new task. The function fn
is called in this task concurrently with the task that created it.
If specified, args
must be a list of objects. This list will be passed to fn
as its arguments.
Fn
should take as many arguments as there are elements in args
.
The default value of args
is false
, which means
no arguments will be passed to fn
.
If suspended
is true
the task is created in the suspended
state. It can be started later by calling the task_run function.
If provided, name
and group
will identify the task's name and the group it belongs to.
task(^() letfn loop (i = 10)
{ showln(i)
task_sleep(2)
loop(i + 1) })
//> 10
11
12
13
14
15
16
...
// passing arguments to the function executed by a task:
function show_range(start, end)
letfn loop (i = start)
when (i < end)
{ showln(i)
task_sleep(2)
loop(i+1) }
task(show_range, args = [10, 15])
//> 10
11
12
13
14
/*
Simple tasks that don't need arguments can be started by the spawn (!) operator.
The expression that follow the operator will be evaluated in a new task.
As an example, consider the following network server which just "echoes" the message sent by
its client. It handles each client in a separate task. The client-handling logic is contained in
the expression that follows the spawn (!) operator:
*/
let s = tcp_server_stream(2020)
function echo(client)
{ showln(stream = client, read_line(client))
flush_writer(client) }
letfn loop (client = read(s))
{ !call_with_stream(client, echo)
loop(read(s)) }
// The following code can be used to test the echo server:
let c = tcp_client_stream("localhost:2020")
showln(stream = c, "hello")
flush_writer(c)
read_line(c)
//> hello


Since the early times, plant pathologists faced the need to deal with quantitative data and analysis using mathematics and, more recently, computational tools. The primary leaders in quantitative methods in plant pathology were a relatively small international group of scientists with various backgrounds related to plant pathology.
This group felt the need to connect and then Plant Disease Epidemiology was formally recognized as a discipline more than 50 years ago. Since then plant epidemiologists/pathologists have met around the world to network, brainstorm and learn from each other to advance the discipline by sharing ideas, experiences, knowledge and philosophical viewpoints.
The International Epidemiology Workshop, which occurred eleven times since then, has been central for ensuring the exchange of ideas and information in our field and helps to identify/strengthen new/established links with other fields. The strong connections with mathematics/statistics, genetics and computer science have led to a sort of speciation over the years: computational, theoretical, spatial, molecular, landscape, and digital (big data) epidemiology have popped up in the epidemiology literature.
The evolution is natural and such links provide the field with opportunities to bring new expertise and advance our understanding and ability to predict and prevent economically damaging plant disease epidemics and crop losses at various scales. On the other hand, specialization may pose challenges for the identity of a discipline and the scientists need to stay more tightly connected and up to date with the advances on all these fronts. This type of intense specialization can result in a myopic view that may overlook the obvious.
The recent and rapid advances in technology have led to new opportunities as well as challenges. In particular, the increasing ability to collect large amounts of data at various scales (from genomes to landscapes). Such scenarios require even more diverse skills from plant pathologists in general to stay alert and connected. The ease with which plant disease-related data (e.g., sequencing and phenotyping) can be obtained and treated with out-of-the-box algorithms by research groups (that lack epidemiologists) can lead to false promises and disastrous consequences for the discipline.
Plant disease epidemiologists have always been leaders in using quantitative, statistical and computational approaches, which distinguished them from other plant pathologists. Early on, computers have been one of the main tools in the plant epidemiologist’s tool-box - until recently these computer-based tools were specialized and relied on proprietary software.
A plethora of computer software were developed by leading epidemiologists over the decades and used for research and teaching purposes. However, this software can quickly become deprecated and problems related to technology life-time, portability, compatibility and reproducibility have affected rate of adoption and long-term sustainability.
Development of new tools for data analysis help to expedite the analysis process. However, increased automation often increases the frequency of incorrect application and/or interpretation, largely because those conducting the analyses often lack access to training by someone who is an expert in these tools and will necessarily rely on vignettes or tutorials shared by others, some of which may not be experts on the subject. It is thus imperative that more sustainable, transparent and reproducible research methods are developed and deployed for the community with the purpose of formal training and research support.
We feel that it is more important than ever that scientists acting in the field of plant pathology stay connected and propose that web-based networking tools should be used for effective networking and continued collaboration to promote the field. In light of these issues, we propose to develop a community that values the sharing of knowledge, ideas and data; building capacity; and promotes open and reproducible research to benefit plant epidemiologists. To foster this community, we propose to develop:
A community-maintained website to promote this workgroup: people, projects and blog posts (new articles, tutorials, view-points, etc.).
An open chatting workspace using Slack to enable effective, year-round communication and collaborative work via specific channels, i.e., a Slack workspace open to any interested party (https://openplantpathology.slack.com).
More broadly, a community that stimulates and supports efforts from individuals or groups to develop and deliver next-generation databases and reproducible research tools for plant pathology-related subjects and applications (teaching or research) using open source software (e.g., R, Python), open data (e.g., Dryad, Figshare, OSF, Genbank, etc.), and open software repositories (e.g., GitHub).
We welcome your participation in this community and hope that you will join us! To join the Slack workgroup, please send a request to<EMAIL_ADDRESS>Our repositories are available at https://www.github.com/openplantpathology, to request to join them please send a message to Adam Sparks<EMAIL_ADDRESS>or Emerson Del Ponte<EMAIL_ADDRESS>after you have joined the Slack workgroup.
Community Founders
Emerson M. Del Ponte - Universidade Federal de Viçosa, Brazil
Adam H. Sparks - University of Southern Queensland, Australia
Primary Members
Robin Choudhury - University of Florida, USA
Nik Cunniffe - University of Cambridge, UK
Felipe Dalla Lana - Ohio State University
Paul Esker - Pennsylvania State University, USA
Sydney Everhart - University of Nebraska, USA
Zachary Foster - Oregon State University, USA
Niklaus Grünwald - USDA Agricultural Research Service, USA
Zhian Kamvar - University of Nebraska, USA
Adam Kleczkowski - University of Stirling, UK
Neil McRoberts - University of California, Davis, USA
Stephen Parnell - University of Salford
Sarah Pethybridge - Cornell University, USA


History
1950's to the 21st Century
1950 to 1980
The 1950's: A number of inventors started entertaining the idea of a portable electronic object.
1971: The Carte Bleue was equipped with a magnetic strip that allowed the use of a secret code.
1974: The dream of creating a smart card comes true with Roland Moreno's invention.
1979: Smart cards become the global standard.


2
`Prev `__
0
`Next `__
--------------
**2**: infix.
In translation software written by hackers, infix 2 often represents the
syllable *to* with the connotation ‘translate to’: as in dvi2ps (DVI to
PostScript), int2string (integer to string), and texi2roff (Texinfo to
[nt]roff). Several versions of a joke have floated around the internet
in which some idiot programmer fixes the Y2K bug by changing all the Y's
in something to K's, as in Januark, Februark, etc.
--------------
+----------------------------+----------------------------+-----------------------------+
| `Prev `__ | `Up <../0.html>`__ | `Next `__ |
+----------------------------+----------------------------+-----------------------------+
| 1TBS | `Home <../index.html>`__ | 404 |
+----------------------------+----------------------------+-----------------------------+


My biggest career/life goal is to solve problems to make peoples lives better and easier. I've tried to do this countless ways by first studying to be a chemical engineer, studying to become a psychologist, and finally choosing to become an art director for an advertising/branding agency. I've found that changing the world for the better is a terribly slow process as a junior creative who's biggest responsibility at the office is to change a font from Calibri to Arial.
I can't wait to start gSchool and to have the ability to solve huge problems using the tools I will learn. The main problem I would like help solve with said abilities through the infinite reach of le Internet is the nutrition problem of the US and other countries. Another problem I would love to help with is the gender equality gap. Besides these long-term goals, after gSchool, I would love to work for an agency like Quick Left or a company like BuzzFeed.
The starting gSchool feels...


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{% macro display(modifier, animation, image_modifier) %}
With over 40 years’ experience as an independent mortgage adviser, we are perfectly qualified to help and support you through the process of buying a house and arranging a mortgage.


{% extends "botanycollection/base.html" %} {% block content %}
UQARC is the result of a long term collaboration between staff and students at the University of Queensland (UQ). UQ houses an extensive archaeobotanical reference collection, initiated by Andrew Fairbairn when he joined UQ in 2006 and added to by staff and students ever since. Today UQ's reference collection, held in a purpose built facility within the UQ Archaeology Lab, houses over 3000 specimens of wood, seeds, fruits and leaves from taxa across Eurasia and Australasia, with many more in process. The collection houses specimens collected by UQ's staff and students and others donated or bought from the wider scholarly and botanical community.
As recognised by the ARC Future Network (Denham et al. 2009), archaeobotanists in Australia and the surrounding region are thinly spread and work with diverse biota, meaning establishing and effectively sharing reference collections is problematical. The development of a freely accessible electronic archaeobotany reference collection became a focus of UQ's archaeobotany working group. Initially, a project developed by Nathan Wright, Reiner Mantei, Stephanie Smith, Xavier Carah and Alison Moroney, OSAD (the Online Seed Atlas Database) aimed to develop and test a recording system and database for morphometric criteria of Near Eastern crop seeds. While fulfilling the need for electronic storage it became clear that a web-based platform provided the best means of long term development of the database with the appropriate accessibility required. Thus UQARC was born! In 2011, Andrew Fairbairn developed a collaboration with Jane Hunter and Damien Ayers in UQ ITEE, which led to a successful application with Lynda Cheshire (Sociology) and Diana Young (UQ Anthropology Museum), to develop UQ's facilities for the digital humanities. The result provides a permanent, open access database for archaeobotanical finds and reference materials of all kinds physically housed at UQ and elsewhere.
UQARC Project Director : Andrew Fairbairn
Archaeobotany development team : Xavier Carah, Nathan Wright, Anne Dighton, Reiner Mantei, Anna Florin (UQ School of Social Science)
IT concept development and design: Damien Ayers and Jane Hunter (UQ ITEE)
Contributors to the UQ archaeobotany reference collection: Andrew Fairbairn, Mark Nesbitt, Nuno Olivera, Emilie Dotte-Sarout, Col Martin, Xavier Carah, Lynely Wallis, WCS, Anna Florin, Annie Ross, Rohan Fenwick, UWA Herbarium, [missing?]
Thanks to the following for their sustained contribution to UQ's collections: Claudia Emilia Espinoza, Corey Herrmann, Rebecca Lee, Narelle Lont, Peter Lugg, Hannah McGown.


Basic HTTP cookie parser and serializer for HTTP servers.
$ npm install cookie
var cookie = require('cookie');
Parse an HTTP Cookie
header string and returning an object of all cookie name-value pairs.
The str
argument is the string representing a Cookie
header value and options
is an
optional object containing additional parsing options.
var cookies = cookie.parse('foo=bar; equation=E%3Dmc%5E2');
// { foo: 'bar', equation: 'E=mc^2' }
cookie.parse
accepts these properties in the options object.
Specifies a function that will be used to decode a cookie's value. Since the value of a cookie has a limited character set (and must be a simple string), this function can be used to decode a previously-encoded cookie value into a JavaScript string or other object.
The default function is the global decodeURIComponent
, which will decode any URL-encoded
sequences into their byte representations.
note if an error is thrown from this function, the original, non-decoded cookie value will be returned as the cookie's value.
Serialize a cookie name-value pair into a Set-Cookie
header string. The name
argument is the
name for the cookie, the value
argument is the value to set the cookie to, and the options
argument is an optional object containing additional serialization options.
var setCookie = cookie.serialize('foo', 'bar');
// foo=bar
cookie.serialize
accepts these properties in the options object.
Specifies the value for the Domain
Set-Cookie
attribute. By default, no
domain is set, and most clients will consider the cookie to apply to only the current domain.
Specifies a function that will be used to encode a cookie's value. Since value of a cookie has a limited character set (and must be a simple string), this function can be used to encode a value into a string suited for a cookie's value.
The default function is the global encodeURIComponent
, which will encode a JavaScript string
into UTF-8 byte sequences and then URL-encode any that fall outside of the cookie range.
Specifies the Date
object to be the value for the Expires
Set-Cookie
attribute.
By default, no expiration is set, and most clients will consider this a "non-persistent cookie" and
will delete it on a condition like exiting a web browser application.
note the cookie storage model specification states that if both expires
and
maxAge
are set, then maxAge
takes precedence, but it is possible not all clients by obey this,
so if both are set, they should point to the same date and time.
Specifies the boolean
value for the HttpOnly
Set-Cookie
attribute. When truthy,
the HttpOnly
attribute is set, otherwise it is not. By default, the HttpOnly
attribute is not set.
note be careful when setting this to true
, as compliant clients will not allow client-side
JavaScript to see the cookie in document.cookie
.
Specifies the number
(in seconds) to be the value for the Max-Age
Set-Cookie
attribute.
The given number will be converted to an integer by rounding down. By default, no maximum age is set.
note the cookie storage model specification states that if both expires
and
maxAge
are set, then maxAge
takes precedence, but it is possible not all clients by obey this,
so if both are set, they should point to the same date and time.
Specifies the value for the Path
Set-Cookie
attribute. By default, the path
is considered the "default path".
Specifies the boolean
or string
to be the value for the SameSite
Set-Cookie
attribute.
true
will set the SameSite
attribute to Strict
for strict same site enforcement.false
will not set the SameSite
attribute.'lax'
will set the SameSite
attribute to Lax
for lax same site enforcement.'none'
will set the SameSite
attribute to None
for an explicit cross-site cookie.'strict'
will set the SameSite
attribute to Strict
for strict same site enforcement.More information about the different enforcement levels can be found in the specification.
note This is an attribute that has not yet been fully standardized, and may change in the future. This also means many clients may ignore this attribute until they understand it.
Specifies the boolean
value for the Secure
Set-Cookie
attribute. When truthy,
the Secure
attribute is set, otherwise it is not. By default, the Secure
attribute is not set.
note be careful when setting this to true
, as compliant clients will not send the cookie back to
the server in the future if the browser does not have an HTTPS connection.
The following example uses this module in conjunction with the Node.js core HTTP server to prompt a user for their name and display it back on future visits.
var cookie = require('cookie');
var escapeHtml = require('escape-html');
var http = require('http');
var url = require('url');
function onRequest(req, res) {
// Parse the query string
var query = url.parse(req.url, true, true).query;
if (query && query.name) {
// Set a new cookie with the name
res.setHeader('Set-Cookie', cookie.serialize('name', String(query.name), {
httpOnly: true,
maxAge: 60 * 60 * 24 * 7 // 1 week
}));
// Redirect back after setting cookie
res.statusCode = 302;
res.setHeader('Location', req.headers.referer || '/');
res.end();
return;
}
// Parse the cookies on the request
var cookies = cookie.parse(req.headers.cookie || '');
// Get the visitor name set in the cookie
var name = cookies.name;
res.setHeader('Content-Type', 'text/html; charset=UTF-8');
if (name) {
res.write('
Welcome back, ' + escapeHtml(name) + '!
');
} else {
res.write('
Hello, new visitor!
');
}
res.write('<form method="GET">');
res.write('<input placeholder="enter your name" name="name"> <input type="submit" value="Set Name">');
res.end('</form>');
}
http.createServer(onRequest).listen(3000);
$ npm test
$ npm run bench
><EMAIL_ADDRESS>bench cookie
> node benchmark/index.js
<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>modules@48
napi@3
<EMAIL_ADDRESS>> node benchmark/parse.js
cookie.parse
6 tests completed.
simple x 1,200,691 ops/sec ±1.12% (189 runs sampled)
decode x 1,012,994 ops/sec ±0.97% (186 runs sampled)
unquote x 1,074,174 ops/sec ±2.43% (186 runs sampled)
duplicates x 438,424 ops/sec ±2.17% (184 runs sampled)
10 cookies x 147,154 ops/sec ±1.01% (186 runs sampled)
100 cookies x 14,274 ops/sec ±1.07% (187 runs sampled)


--- layout: barebones ---
Sense Tecnic Systems is an IoT software company that helps their customers build and deploy advanced IoT applications. They have deep technical expertise in a range of IoT technologies from hardware through industry standard platforms up-to advanced programming tools, and are an exceptional technology driven team.
Node-RED is the core of their cloud hosted FRED service, designed to streamline the development and integration of IoT applications. From prototype to production deployment, FRED makes each step as easy as possible, allowing you to focus on your IoT solution, not the tools and platforms.
Building on the open source Node-RED visual data flow-based programming tool, FRED simplifies development and reduces time to market by allowing IoT developers to create applications using a huge variety of device protocols, services, databases and IoT platforms. All using a simple and intuitive ‘drag-and-drop’ programming environment.
Integration is a key strength of Node-RED and the FRED platform. From connecting devices and streaming data, to backend service integration and ease of handling multiple interfaces and protocols, FRED makes complex integration tasks a simple matter of connecting nodes with the flexibility to add more sophisticated processing as needed.
The FRED platform pairs Node-RED with the Sense Tecnic MQTT and InfluxDb services to provide standards based connectivity to IoT devices and services and time series data storage.


| quosure {rlang} | R Documentation |
A quosure is a type of quoted expression that includes a reference to the context where it was created. A quosure is thus guaranteed to evaluate in its original environment and can refer to local objects.
You can access the quosure components (its expression and its environment) with:
get_expr()
and get_env()
. These getters also support other
kinds of objects such as formulas.
quo_get_expr()
and quo_get_env()
. These getters only work
with quosures and throw an error with other types of input.
Test if an object is a quosure with is_quosure()
. If you know an
object is a quosure, use the quo_
prefixed predicates to check
its contents, quo_is_missing()
, quo_is_symbol()
, etc.
is_quosure(x) quo_is_missing(quo) quo_is_symbol(quo, name = NULL) quo_is_call(quo, name = NULL, n = NULL, ns = NULL) quo_is_symbolic(quo) quo_is_null(quo) quo_get_expr(quo) quo_get_env(quo) quo_set_expr(quo, expr) quo_set_env(quo, env)
x |
An object to test. |
quo |
A quosure to test. |
name |
The name of the symbol or function call. If |
n |
An optional number of arguments that the call should match. |
ns |
The namespace of the call. If Can be a character vector of namespaces, in which case the call
has to match at least one of them, otherwise |
expr |
A new expression for the quosure. |
env |
A new environment for the quosure. |
A quosure usually does not carry environments for constant objects like strings or numbers. quo()
and
enquo()
only capture an environment for symbolic expressions. For instance, all of these return the
empty environment:
quo_get_env(quo("constant")) quo_get_env(quo(100)) quo_get_env(quo(NA))
On the other hand, quosures capture the environment of symbolic expressions, i.e. expressions whose meaning depends on the environment in which they are evaluated and what objects are defined there:
quo_get_env(quo(some_object)) quo_get_env(quo(some_function()))
When missing arguments are captured as quosures, either through
enquo()
or quos()
, they are returned as an empty quosure. These
quosures contain the missing argument and typically
have the empty environment as enclosure.
is_quosure()
is stable.
quo_get_expr()
and quo_get_env()
are stable.
quo()
for creating quosures by quotation; as_quosure()
and new_quosure()
for constructing quosures manually.
quo <- quo(my_quosure) quo # Access and set the components of a quosure: quo_get_expr(quo) quo_get_env(quo) quo <- quo_set_expr(quo, quote(baz)) quo <- quo_set_env(quo, empty_env()) quo # Test wether an object is a quosure: is_quosure(quo) # If it is a quosure, you can use the specialised type predicates # to check what is inside it: quo_is_symbol(quo) quo_is_call(quo) quo_is_null(quo) # quo_is_missing() checks for a special kind of quosure, the one # that contains the missing argument: quo() quo_is_missing(quo()) fn <- function(arg) enquo(arg) fn() quo_is_missing(fn())


# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
#
# 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.
"""
Benchmarking PyTorch models on a given device for given batch sizes
"""
import time
from typing import Any, List, Tuple
import numpy
import torch
from torch.nn import Module
from tqdm import auto
from sparseml.pytorch.utils.helpers import (
tensors_batch_size,
tensors_module_forward,
tensors_to_device,
tensors_to_precision,
)
from sparseml.pytorch.utils.model import model_to_device
__all__ = ["BatchBenchmarkResults", "ModuleBenchmarker"]
[docs]class BatchBenchmarkResults(object):
"""
Container class for the results of a benchmark run for a given batch size.
Contains convenience methods for calculating different metrics around the time
to run each batch and the items.
:param batch_size: the batch size the results are for
"""
def __init__(self, batch_size: int):
self._batch_size = batch_size
self._batch_model_times = []
self._batch_e2e_times = []
def __repr__(self):
return "{}(batch_size={}, batch_model_times={}, batch_e2e_times={})".format(
self.__class__.__name__,
self._batch_size,
self._batch_model_times,
self._batch_e2e_times,
)
def __str__(self) -> str:
return "{}({})".format(
self.__class__.__name__,
", ".join(
[
"batch_size={}".format(self._batch_size),
"model_batch_seconds={}".format(self.model_batch_seconds),
"model_item_seconds={}".format(self.model_item_seconds),
"model_batches_per_second={}".format(self.model_batches_per_second),
"model_items_per_second={}".format(self.model_items_per_second),
"e2e_batch_seconds={}".format(self.e2e_batch_seconds),
"e2e_item_seconds={}".format(self.e2e_item_seconds),
"e2e_batches_per_second={}".format(self.e2e_batches_per_second),
"e2e_items_per_second={}".format(self.e2e_items_per_second),
]
),
)
@property
def batch_size(self) -> int:
"""
:return: the batch size the results are for
"""
return self._batch_size
@property
def model_batch_timings(self) -> List[float]:
"""
:return: the overall timings in seconds for each batch to run through the model.
Does not include time for transferring data to and from device (if any)
"""
return self._batch_model_times
@property
def e2e_batch_timings(self) -> List[float]:
"""
:return: the overall timings in seconds for each batch to run through the model
and the system.
Includes model execution time as well as time to transfer the data to and
from a device.
"""
return self._batch_e2e_times
@property
def model_batch_seconds(self):
"""
:return: the average time it took to execute the batches through the model.
Does not include time for transferring data to and from device (if any)
"""
return float(numpy.mean(self.model_batch_timings))
@property
def model_batches_per_second(self):
"""
:return: inverse of model_batch_seconds
"""
return 1.0 / self.model_batch_seconds
@property
def model_item_seconds(self):
"""
:return: the batch averaged time it took in seconds to execute one item
through the model (model_batch_seconds / batch_size).
Does not include time for transferring data to and from device (if any)
"""
return self.model_batch_seconds / self.batch_size
@property
def model_items_per_second(self):
"""
:return: inverse of model_items_per_second
"""
return 1.0 / self.model_item_seconds
@property
def e2e_batch_seconds(self):
"""
:return: the average overall time to execute the batches through the model
and the system.
Includes model execution time as well as time to transfer the data to
and from a device.
"""
return float(numpy.mean(self.e2e_batch_timings))
@property
def e2e_batches_per_second(self):
"""
:return: inverse of e2e_batch_seconds
"""
return 1.0 / self.e2e_batch_seconds
@property
def e2e_item_seconds(self):
"""
:return: the batch averaged overall time to execute the batches through the
model and the system (e2e_batch_seconds / batch_size).
Includes model execution time as well as time to transfer the data to
and from a device.
"""
return self.e2e_batch_seconds / self.batch_size
@property
def e2e_items_per_second(self):
"""
:return: inverse of e2e_item_seconds
"""
return 1.0 / self.e2e_item_seconds
[docs] def add(self, model_sec: float, e2e_sec: float, batch_size: int):
"""
Add a new batch result
:param model_sec: the seconds it took to execute the model
:param e2e_sec: the seconds it took to execute model and transfer to and
from device
:param batch_size: the size of the batch recorded
"""
if batch_size != self._batch_size:
raise ValueError(
"batch_size of {} does not match the original batch_size {}".format(
batch_size, self._batch_size
)
)
self._batch_model_times.append(model_sec)
self._batch_e2e_times.append(e2e_sec)
[docs]class ModuleBenchmarker(object):
"""
Convenience class for benchmarking a model on a given device for given batches
at a given precision.
:param module: the module to benchmark
"""
def __init__(self, module: Module):
self._module = module
[docs] def run_batches_on_device(
self,
batches: List[Any],
device: str,
full_precision: bool = True,
test_size: int = 100,
warmup_size: int = 10,
) -> BatchBenchmarkResults:
"""
:param batches: the batches to run through the model and benchmark,
should all be of the same batch_size
:param device: the device to run the model on, ex: cpu, cuda, cuda:0, cuda:0,1
:param full_precision: True to run at float32, False to run at float16
:param test_size: the number of batches to run and calculate timings over
:param warmup_size: the number of batches to run before calculating timings
:return: the batch results for benchmarking
"""
module = self._module.eval()
module = module.float() if full_precision else module.half()
module, device, device_ids = model_to_device(module, device)
default_device = (
device
if device_ids is None or len(device_ids) < 1
else "{}:{}".format(device, device_ids[0])
)
batches = tensors_to_precision(batches, full_precision)
def _infinite_batch_looper():
while True:
for batch in batches:
yield batch
batch_iter = _infinite_batch_looper()
if warmup_size > 0:
for _ in auto.tqdm(
range(warmup_size), desc="warming up...", total=warmup_size
):
batch = next(batch_iter)
ModuleBenchmarker._execute_batch_for_time(batch, module, default_device)
batch_size = tensors_batch_size(next(batch_iter))
results = BatchBenchmarkResults(batch_size)
for _ in auto.tqdm(range(test_size), desc="testing...", total=test_size):
batch = next(batch_iter)
model_sec, e2e_sec, batch_size = ModuleBenchmarker._execute_batch_for_time(
batch, module, device
)
results.add(model_sec, e2e_sec, batch_size)
return results
@staticmethod
def _execute_batch_for_time(
batch: Any, module: Module, device: str
) -> Tuple[float, float, int]:
with torch.no_grad():
batch = tensors_to_device(batch, "cpu")
if "cuda" in device:
torch.cuda.synchronize()
e2e_start = time.time()
x_tens = tensors_to_device(batch, device)
if "cuda" in device:
torch.cuda.synchronize()
model_start = time.time()
y_pred = tensors_module_forward(x_tens, module, check_feat_lab_inp=False)
if "cuda" in device:
torch.cuda.synchronize()
model_end = time.time()
y_pred_local = tensors_to_device(y_pred, "cpu")
if "cuda" in device:
torch.cuda.synchronize()
e2e_end = time.time()
batch_size = tensors_batch_size(batch)
del x_tens
del y_pred
del y_pred_local
return model_end - model_start, e2e_end - e2e_start, batch_size


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maison quatre soleil poisson


SUDOGEST- pseudoephedrine hydrochloride tablet, film coated
Aidarex Pharmaceuticals LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
if you are now taking a prescription monoamine oxidase inhibitor (MAOI) (certain drugs for depression, psychiatric or emotional conditions, or Parkinson's disease), or for 2 weeks after stopping the MAOI drug. If you do not know if your prescription drug contains an MAOI, ask a doctor or pharmacist before taking this product.
corn starch, hypromellose, lactose, magnesium stearate, microcrystalline cellulose, polyethylene glycol, silicon dioxide, stearic acid
MAJOR®
FOR PHARMACY USE ONLY.
NOT FOR RETAIL SALE.
NDC 0904-5125-59
SudoGest™
NASAL DECONGESTANT 60 mg
Pseudoephedrine Hydrochloride 60 mg
Relieves Nasal and Sinus Congestion due to Colds or Hay Fever
Without Drowsiness
100 TABLETS
Distributed by MAJOR® PHARMACEUTICALS
31778 Enterprise Drive
Livonia, MI 48150 USA Rev. 01/13 M-17
50844 REV0712N11312
TAMPER EVIDENT: DO NOT USE IF IMPRINTED SAFETY SEAL UNDER CAP IS BROKEN OR MISSING
Major 44-113
|
SUDOGEST
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| Labeler - Aidarex Pharmaceuticals LLC (801503249) |


Books and recommended references¶
Required books¶
The Processes of Life, Lawrence Hunter
Chapter 1 is available for free here.
Learn Python the Hard Way, Zed Shaw
Available in print ($15.99), PDF/ePub ($2.99), or on the web (free).
Recommended references¶
- Chapter 1 sections online:
Practical Programming: A Introduction to Computer Science Using Python
http://www.amazon.com/Practical-Programming-Introduction-Pragmatic-Programmers/dp/1934356271
Python online documentation : http://www.python.org
Python Module of the Week: http://www.doughellmann.com/PyMOTW/contents.html
Book by the same author: The Python Standard Library By Example (ISBN:<PHONE_NUMBER>349)
One of the definitive texts on algorithms used in bioinformatics: particularly focused on building phylogenetic trees.
Inferring Phylogenies (ISBN:<PHONE_NUMBER>774), Joseph Felsenstein
One of the definitive texts on algorithms used in bioinformatics.
Biological Sequence Analysis (ISBN:<PHONE_NUMBER>713), Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
A very good general biology lecture series.
Introduction to Biology with Research Focus, Robert A. Weinberg
http://academicearth.org/courses/introduction-to-biology
A very good introduction to Computer Science lecture series that uses python.
Introduction to Computer Science and Programming, Eric Grimsom, John Guttag
http://academicearth.org/courses/introduction-to-computer-science-and-programming


JACK_WAIT(1) JACK_WAIT(1) NAME jack_wait - JACK toolkit client to check and wait for existence/exit of jackd. SYNOPSIS jack_wait [ -s | --server servername ] [ -t | --timeout timeout_seconds [ -cqwhv ] DESCRIPTION jack_wait When invoked with -c it only checks for the existence of a jack server. When invoked with -w the program will wait for a jackd to be available. The -q makes it wait for the jackd to exit. OPTIONS -w, --wait Wait for jackd to be available. -q, --quit Wait for jackd quit. -c, --check Only check for existence of jackd, and exit. -s, --server servername Connect to the jack server named servername -t, --timeout timeout_seconds Only wait timeout_seconds. -h, --help Display help/usage message -v, --version Output version information and exit 1.9.9 November 2012 JACK_WAIT(1)


De Ligt channels Cristiano Ronaldo to keep Juventus top of Serie A
The defender struck the winner to keep Juve ahead of Inter Milan in Italy
by Sergi MontesMatthijs de Ligt was the match-winner as Juventus beat Torino 1-0 in the Turin derby on Saturday to stay at the top of Serie A.
The Dutch defender took on Cristiano Ronaldo's role, scoring in the 70th minute to earn Sarri's side a hard-fought three points against their neighbours.
De Ligt's goal took Juve back to the top of the table ahead of Inter, who had beaten Bologna in dramatic circumstances earlier in the day.
Soriano had given Bologna a second-half lead but Romelu Lukaku drew Antonio Conte's side level and the Belgian striker then converted a penalty in stoppage time to seal the win.
Earlier, Roma had beaten Napoli 2-1 to move third in the table in Italy's top flight.
MATCH FACTS
Serie A
| 0-1 | JUV |
Torino
Sirigu; Bremer, Izzo, Lyanco; Meite, Ansaldi, Baselli (Milico, 85'), Rincón (Zaza, 74'), Aina; Verdi (Lukic, 80') y Belotti.
Juventus
Szczesny; Cuadrado, De Ligt, Bonucci, De Sciglio; Pjanic, Bentancur (Khedira, 75'), Matuidi; Dybala (Higuaín, 60''); Bernardeschi (Ramsey, 67) y Cristiano Ronaldo.
Goles
0-1 M: 70 De Ligt.
Árbitro
Daniele Doveri. TA: Aina (44'), Ansaldi (63'), Baselli (69'), Belotti (93') / Bentancur (55'), Cuadrado (57').
Campo
Olímpico di Torino.


Opening Hours for all branches: (Opens at:6am- Closes at:8pm)
- Shops Locations.
-
Seattle-535 Nw 9th St, Oklahoma City, OK, 73102
-
Tokyo-450 Commercial St Se, Salem, OR, 97302
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Dubai-18425 Nw West Union Rd, Portland, OR, 97229
-
Paris-30299 Sw Boones Ferry Rd 102, Wilsonville, OR, 97070
-
Lima-440 N Orlando Ave, Winter Park, FL, 32789


Sitewide advertising industry opt-out
The ads.txt specification provides a way to list the authorized sellers of ads for a domain. The app-ads.txt specification extends this to cover apps tied to the domain. As a domain owner, this is a valuable way to crack down on fraudulent usage of your domain including by adware.
For domains without any third party advertising including those without any ads at
all, you should serve both /ads.txt
and /app-ads.txt
from a
web server with the placeholder record defined by the specification:
placeholder.example.com, placeholder, DIRECT, placeholder
The placeholder record formally disallows buying and selling ads on behalf of the domain including for any subdomains. This prevents fradulently buying / selling ads for your domain anywhere that ads.txt / app-ads.txt are enforced.
It's in the interest of most ad tech companies to enforce these standards due to losses from ad fraud so adoption is increasingly widespread.
Browser extension malware injecting ads into sites is very common and this is a way for sites to hurt those malware developers where it hurts: their pocketbook.
These standards have a limited scope and were primarily created to address the cost of ad fraud for the advertising industry, but they do offer value for domain owners to protect their reputation and discourage adware.


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Budibase will host and manage your application
1 click and your web app is deployed
You also have the option to self-host, and we can help


| addalias |
Adds an alias to an idol/group. (Underscores are spaces) |
%addalias (alias) (ID of idol/group) ("idol" or "group") |
|
| addemoji |
Adds an emoji to the server. Several emojis can be added if split with a comma. Emoji Name is optional. (Manage Messages & Emojis) |
%addemoji (emoji,emoji,emoji,url) (emoji_name) |
yoink |
| ban |
Ban A User (Ban Members) |
%ban @user |
|
| clear |
Prune Messages (LIMIT 1000) (Manage Messages) |
%clear (amount) |
prune |
| deletealias |
Remove alias from an idol/group. (Underscores are spaces) |
%deletealias (alias) (ID of idol/group) ("idol" or "group") |
removealias |
| disableinteraction |
Disable an interaction on your server. Redo to enable again (Manage Messages) |
%deleteinteraction (interaction) |
|
| kick |
Kick A User. (Kick Members) |
%kick @user |
|
| mute |
Mute A User. (Manage Messages & Manage Roles) |
%mute @user (reason) |
|
| say |
Make Irene say a message. (Manage Messages) |
%say #[text-channel] (message) |
|
| sayembed |
Make Irene say an embed message. (Manage Messages) |
%sayembed #text-channel (json formatted message from https://embedbuilder.nadekobot.me/) |
|
| setprefix |
Set the server prefix. If prefix was forgotten, type this command with the default prefix. (Manage Messages) |
%setprefix $ |
|
| tempchannel |
Makes Current Channel a temporary channel deleting messages after a certain time period (greater than 1 minute). If delay is -1, it will remove the channel. (Manage Messages) |
%tempchannel [delay=-1] |
temp |
| togglegames |
Choose to enable/disable games in a text channel. (Manage Messages) |
%togglegames [#channel] |
|
| unban |
UnBan A User (Ban Members) |
%unban @user |
|
| unmute |
UnMute A User (Manage Messages & Manage Roles) |
%unmute @user (reason) |
|
| welcome |
Set a welcome message or disable welcome in the current channel. Use %user where they should be mentioned. Use %guild_name if the server name should be added. (Manage Messages) |
%welcome (Welcome %user to %guild_name!) |
|
| welcomerole |
The role to give a user when they first join the server. Use command without role to delete the welcome role set to the guild. (Manage Messages) |
%welcomerole @role |
|


Without intervention, the LDM log file, ldmd.log, will grow without bound. For this reason, it is desirable to have an automatic process manage the LDM log file. A convenient mechanism for curtailing growth is provided by the ldmadmin newlog command in conjunction with the UNIX crontab utility.
The ldmadmin newlog command rotates through the last $numlogs log files of the LDM, where $numlogs is a user-customizable variable in the ldmadmin script. The command causes every log file matching the patten ldmd.log.n, where n is a positive integer less than $numlogs, to be renamed ldmd.log.n+1, where n+1 denotes the next higher integer. This action will proceed from the larger n-s to the smaller so that no log file is lost. Then, the file ldmd.log is renamed ldmd.log.1. Finally, an empty ldmd.log file is created.
For example, if the ldmadmin newlog command was executed at 18:00 on the 20th and if the $numlogs variable was 2, then the following files:
-rw-r--r-- 1 ldm staff 972 Sep 19 18:00 /home/ldm/logs/ldmd.log -rw-r--r-- 1 ldm staff 845 Sep 18 18:00 /home/ldm/logs/ldmd.log.1 -rw-rw-r-- 1 ldm staff 826 Sep 17 18:00 /home/ldm/logs/ldmd.log.2 -rw-r--r-- 1 ldm staff 981 Sep 16 18:00 /home/ldm/logs/ldmd.log.3
would become
-rw-r--r-- 1 ldm staff 0 Sep 20 18:00 /home/ldm/logs/ldmd.log -rw-r--r-- 1 ldm staff 972 Sep 19 18:00 /home/ldm/logs/ldmd.log.1 -rw-r--r-- 1 ldm staff 845 Sep 18 18:00 /home/ldm/logs/ldmd.log.2 -rw-r--r-- 1 ldm staff 981 Sep 16 18:00 /home/ldm/logs/ldmd.log.3
Note that the ldmd.log.3 file was untouched.
An excellent way to ensure that this rotation occurs on an automatic and regular basis is to execute the command out of the LDM user's crontab file. For example, the following entry will cause the command to be executed at 1800 hours local-time every day:
0 18 * * * bin/ldmadmin newlog
Because the timestamps in an LDM log file are usually in UTC, a common convention is to rotate the log files at 0000 hours UTC. This is why the above example used 1800 hours MDT. (If we remember, we change the execution-time to 1700 MST when appropriate.) An alternative convention is to rotate the log file at local midnight, e.g.,
0 0 * * * bin/ldmadmin newlog
Both conventions are equally valid. You'll just have to remember which one you use.
We also like to keep a week's worth of LDM log file entries around -- so we change the $numlogs variable to 7.
This rotation (and purging) of the LDM log files will ensure that the space occupied by the log files will not grow indefinitely.


A bunch of lightweight components for updating the model stored in React's stateful components for fast
prototyping. It fits strings, numbers (automatically detected) as <Input />
, booleans as
<Check />
, and sets of values as <Radio />
.
This package also provides a component for presets of values (<PresetsBlock/>
) and a
helper to reduce repeats (<Connector />
).
More →
Package: npm
Examples of usage: Griffeath's machine, Red Squares (with Redux), Zero Packer, and RGB Filter


vi
You can choose to have vi as your standard integrated editor.
When using the DIScover text view in vi mode use the :e! command rather than :recover.
Use the Emacs C-x C-w command rather than the filename option to the :w command.
DIScover remaps built-in functions if they conflict with customized key bindings specified in the .exrc file. For example, if you map ~r to execute a macro DIScover remaps the ~ built-in function to ~~. A warning appears to notify you of this remapping upon startup of vi mode.


Babe: Pig in the City * * (out of * * * * )
Directed by George Miller. Cast: Magda Szubanski, Mary Stein, James Cromwell, Mickey Rooney. Voices: E.G. Daily, Glenne Headley, Danny Mann, Miriam Flynn. 1998 - 97 minutes. Rated G (a PG would have been more appropriate, with an emphasis on destruction and death). Reviewed November 27, 1998.
By Dustin Putman < Dustin Putman's Film Reviews >
The original "Babe," came out of left field in 1995, surprising everybody with its charming story and original animal characters, and eventually led to being nominated for several Academy Awards, including Best Picture. I suspect, "Babe: Pig in the City," the first sequel to that picture, will have no such luck.
Starting off where the first film ended, Babe (voice by E.G. Daily), an intelligent, caring pig, and Farmer Hoggett (James Cromwell) return home after winning the Sheepdog contest. After Farmer Hoggett gets into an accident and is bed-ridden, and the farm becomes in danger of foreclosure, Hoggett's wife (Magda Szubanski) decides to take Babe to a faraway fair in hopes of winning the prize money. On their way there, however, she is suspected of being a drug smuggler at the airport, and finds herself and Babe stranded in a large, fantasy-like city, where looking out the window of their hotel, you can see the Eiffel Tower, the Statue of Liberty, the Hollywood sign, etc.
"Babe: Pig in the City," is in the style of "Babe," with three little mice introducing the different sections of the film with chapter names, and with the same storybook narrator. But, for some reason, director George Miller decided to evade this film with a preoccupation of sadness, death, and destruction. Its G-rating is a joke because of its darkness, but that is not really my problem with the film, since all of the best family pictures, like 1939's "The Wizard of Oz," and 1971's "Willy Wonka and the Chocolate Factory," have a wicked side. My objection is that it does not merily deal with these elements, but it dwells in it. Although there is comedy, most of it sinks under its own weight because of its somberness.
One of the most innovative ideas of, "Babe: Pig in the City," is that the city is not a certain place, but a mixture of every city in the world. Because of this, it was a huge letdown that the film did not venture out into the different places, but was set almost entirely in a hotel. For a film that cost $80-million to make, I think the makers got jipped, although the animals, with their mouths moving when they talked, was more seamless and real-looking than the first film.
"Babe: Pig in the City," is mostly a joyless sequel to the joyful original. James Cromwell obviously was just cashing a paycheck, since he only had three scenes and about three lines. Magda Szubanski was sweet as Wife Hoggett, but too often was the butt of the jokes. And I liked Mary Stein as the hotel manager and secret animal lover. The climax was nicely done and exciting, for the most part, and I liked the chimpanzee characters, but it simply felt like a missed opportunity to explore the unusual, but visually gorgeous city. The film is more action-oriented, rather than filled with the warmth of its predecessor. With all of the dark going-ons in "Babe: Pig in the City," at the end, it felt like Babe wasn't so innocent anymore.
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{% extends "outline.html" %} {% block title %} New Experiment {% endblock %} {% block sidebar %} {% include "_project_sidebar.html" %} {% endblock %} {% block body %}
Triplet Experiment
Triplet experiments compare one item (A) to two other items (B & C) for similarity. A complex mathematical algorithm is used to calculate the distance between all items in the set, providing a measure of relationships between the items.
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Dueling Bandits Pure Exploration
Compare 2 items.
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Tuple Bandits Pure Exploration
Compare k items.
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