rotten > Library > Culture > American Francophobia
American Francophobia
For the past sixty years, France has been a mainstay of American xenophobia. Since World War II, their citizens have been the butt of foreigner jokes for three generations of Americans. It all boils down to a deep-seated suspicion that, for whatever reason, the crepe-eaters just plain never fought hard enough against the Germans.
America stereotypes the people of France as rude, effete bastards having an undeserved air of self-importance and a culture based primarily around their cuisine. They are generally dismissed as pretentious egomaniacs, with a propensity toward an undeserved ethnocentrism.
These prejudices against the French are so engrained in American culture that isolated instances go unchallenged by typical citizens. In fact, they're barely even noticed at all -- fading into the background. Since they were young, Americans have become desensitized to anti-French portrayals in the media and overall culture.
So, naturally, when France began making noises that they would veto a United Nations resolution authorizing America to stomp Saddam flat, the response back in the US of A was fairly predictable.
French wine flowed in the streets, the various gutter bordeaux and beaujolais, never mind that the French still received payment for such spilt protest. And Fox News pundit Bill O'Reilly called for a consumer boycott of French goods.
Florida Congresswoman Ginny Brown-Waite sponsored House Resolution 1265: the American Hero's Repatriation Act of 2003. "France has consistently turned its back on the United States... They forget, if it weren't for America, they would be speaking German today."
To provide, upon the request of a qualifying person, for the removal of the remains of any United States servicemember or other person interred in an American Battle Monuments Commission cemetery located in France or Belgium and for the transportation of such remains to a location in the United States for reinterment.
The French love Jerry Lewis as much as the Germans love David Hasselhoff.
Timeline
|
Patrick Henry declares: "Thomas Jefferson came home from France so Frenchified, that he abjured his native victuals." |
| 1898 |
Mark Twain writes in his notebook: "France has neither winter nor summer nor morals. Apart from these drawbacks it is a fine country. France has usually been governed by prostitutes." |
| 13 Mar 1979 |
Happy Days episode "The Duel": The Fonz duels a pretentious French fencing champion named Jacques Du Bois. Victorious, Fonzie compels the Frenchman to say "Uncle Sam" before he is allowed to yield. |
| 14 Apr 1986 |
France and Spain refuse to grant use of their airspace to 24 American F-111 bombers on their way from England to bomb Libya. This forces the planes to fly over the Atlantic around both countries, incurring additional flight hours and mid-air refuelings. |
| 1989 |
"The French are a smallish, monkey-looking bunch and not dressed any better, on average, than the citizens of Baltimore. True, you can sit outside in Paris and drink little cups of coffee, but why this is more stylish than sitting inside and drinking large glasses of whiskey I don't know." P.J O'Rourke |
| 1991 |
Roseanne episode 325 "The Pied Piper of Lanford": Watching the end of Casablanca on television, Roseanne opines: "Yeah, right. Like anybody cares about France." |
| 19 May 1994 |
Simpsons episode 1F20 "Secrets of a Successful Marriage": Desperate for reconciliation, Homer pleads to his wife: "Marge, look at me: we've been separated for a day, and I'm as dirty as a Frenchman." |
| Feb 1995 |
France publicly accuses five Americans of conducting state-sponsored industrial espionage for the CIA. Included is the former CIA station chief in Paris, his deputy, two U.S. diplomats, and a female agent. |
| 30 Apr 1995 |
Simpsons episode 2F32 "'Round Springfield": Acting as a substitute French teacher, Groundskeeper Willie tells his pupils: "Bonjour-r-r, you cheese-eating surrender monkeys!" |
| 3 Nov 1996 |
The Simpsons episode 3F23 "You Only Move Twice": Supervillain Hank Scorpio asks: "Homer, what's your least favorite country: Italy or France?" When Homer says France, Hank replies: "Nobody ever says Italy." |
| 2 Sep 1997 |
On his radio show, Howard Stern declares: "I've been picking on the French people for 15 years. I don't like French people. I felt that during World War II, France betrayed us. I believe that what they did was the most cowardly act. That when the Nazis marched into France, the French bent over... When I was over in France recently, Americans are looked at as dirt, as filth. We are the people that liberated them during WWII. They would be Nazis, they would be under the Nazi regime right now. They should only be kissing our asses, singing our praises." |
| 26 Oct 1997 |
Simpsons episode 5F02 "Treehouse of Horror VIII": In a send-up of The Omega Man, Mayor Quimby refuses to apologize over a French slur involving frog legs, so the French government nukes Springfield using a neutron bomb. |
| 5 Apr 1998 |
Simpsons episode 5F14 "The Trouble With Trillions": Feeling slighted when a $1 trillion delivery from the United States never arrives in Paris, a Charles de Gaulle lookalike offers his suggestion to exact revenge: "I say we just act snooty to Americans forever!" |
| 24 Oct 1999 |
Simpsons episode AABF21 "Guess Who's Coming to Criticize Dinner?": After a French pastry chef brusquely shoos Ned Flanders away from a tempting éclair, Ned responds: "A rude Frenchman? Well, I never!" |
| 18 Sep 2001 |
At the White House, visiting French President Jacques Chirac declares: "I've come here to tell you of the emotion -- the emotion of France, the French people, an emotion which has no precedent in history before this tragedy, which does not have a parallel. Indeed, it is a tragic event, something which is beyond crime; there are no words to qualify it. I want to tell President Bush, who is my friend, that we stand in total solidarity -- we bring you the total solidarity of France and the French people. It is solidarity of the heart. I also wanted to say that we are completely determined to fight by your side this new type of evil, of absolute evil, which is terrorism. And I also wanted to say that France is prepared and available to discuss all means to fight and eradicate this evil." |
| 19 Sep 2001 |
Flying over Ground Zero in a helicopter with mayor Rudy Giuliani, French President Jacques Chirac becomes the first foreign leader to inspect the 9-11 aftermath firsthand. Later, he tells firefighters at the site: "I want to say bravo, thank you. You did that for the New Yorkers but also for all the free world, for the dignity of all mankind and we know that and we are beside you." |
| 20 May 2002 |
"First, they [the French] think I'm an intellectual because of my glasses. Second, they think I'm an artist because my films lose money. Neither one is true." Woody Allen, San Francisco Chronicle. |
| 30 Jan 2003 |
On Hardball with Chris Matthews, former Deputy Undersecretary for Defense Jed Babbin declares: "Frankly, going to war without France is like going deer hunting without an accordion -- you just leave a lot of useless, noisy baggage behind." |
| 13 Feb 2003 |
Fred Barnes, executive editor of The Weekly Standard, writes: "It would be one thing if the French said they planned to sit out the war with Iraq. But it's quite another when the French actively try to undermine President Bush and prevent regime change in Iraq, as they're doing now. After all we've done for the French -- saving their butts in World Wars I and II, taking over for them in Vietnam -- this makes them ungrateful in the extreme -- breathtakingly, unprecedentedly, and perhaps even unforgivably, ungrateful." |
| 14 Feb 2003 |
Reno, Nevada restaurateurs Tommy Cortopassi and Tim Wright pour out roughly $1,000 of French wine in front of their eatery. But because local ordinances forbid dumping liquids into the gutter, the duo pours them out into a five-gallon paint bucket. Among the vintages: a 1986 Chateau Margaux Premier Grand Cru Classic, a 1995 Dom Perignon, and a J.M. Boillot 1998 Puligny Montrachet. |
| 18 Feb 2003 |
Las Vegas talk radio station KXNT-AM 840 stages an anti-France protest, in which a pile of French products are crushed by a 14-ton armored vehicle. Included in the wreckage is a Paris travel guide, photographs of French president Jacques Chirac, a cup of Yoplait yogurt, a baguette, as well as bottles of wine, Grey Goose vodka, and Perrier water. |
| 3 Mar 2003 |
In an interview in Mexico, President George W Bush observes: "Now, there is an interesting phenomena taking place here in America about the French. And there is a backlash against the French -- not stirred up by anybody except by the people. And, you know, but the relations with France are going to be very important in the future, just like relations with Germany will be important, and we'll work hard to have good relations with those countries." |
| 5 Mar 2003 |
Pennsylvania state representative Stephen Barrar (along with 43 cosponsors) introduces House Resolution 119, prohibiting the purchase or sale of French wines by state-sponsored liquor stores. Among other things, the proposed legislation notes that: "Since the mid-1960s, the French government has engaged in a persistent pattern of anti-American rhetoric and behavior." |
| 7 Mar 2003 |
New Brunswick, New Jersey restaurateur Anthony Tola flushes six bottles of Dom Perignon and some French Merlot down the toilet. |
| 7 Mar 2003 |
In Los Angeles, the California Young Americans for Freedom stages a protest in front of the French Consulate, wherein they pour bottles of French wine into the gutter. Meanwhile, in Manhattan, the New York Young Americans for Freedom do the same thing in front of the French Consulate there too. |
| 13 Mar 2003 |
Florida Congresswoman Ginny Brown-Waite introduces House Resolution 1265, the American Hero's Repatriation Act of 2003. "I, along with many other Americans, do not feel that the French Government appreciates the sacrifices our men and women in uniform have made to defend the freedom that the French enjoy today... The remains of our brave servicemen should be buried in patriotic soil, not in a country that has turned its back on the United States and on the memory of Americans who fought and died there. It's almost as if the French have forgotten what those thousands of white crosses at Normandy represent." |
| 17 Mar 2003 |
On his television show The O'Reilly Factor, Bill O'Reilly declares a consumer boycott against French products: "What I am calling for is a boycott of French goods in the stores. For example, if you buy Poland Spring bottled water instead of Evian, the store still gets the money... I believe 50 million will get on the citizen boycott... 50 million Americans say, 'No way I'm buying any retail products from France.' ... If they don't buy the perfume, and they don't buy the champagne, and they don't buy escargot imported, they're going to -- that's going to put them into a recession because they're almost there now." |
| 28 Mar 2003 |
In response to The American Hero's Repatriation Act of 2003, the Florida offices of Congresswoman Ginny Brown-Waite receives a box full of chicken bones. |
| Mar 2003 |
The Paris Las Vegas casino removes all French flags from its property. They will not return for 14 weeks. |
| 19 Apr 2003 |
Saturday Night Live airs a commercial parody mimicking an ad for French tourism: "France: rolling countrysides, sprawling vineyards, quaint cafes. France: home to the world's greatest painters, chefs, and anti-semites. The French: cowardly, yet opinionated; arrogant, yet foul-smelling; anti-Israel, anti-American, and, of course, as always, Jew-hating. Paris: the city of whores, dog feces on every corner, and effete men yelling anti-Semitic remarks at children. The real crème de la crème of world culture. With all that's going on in the world, isn't it about time we got back to hating the French?" |
| 2 May 2003 |
On his television show The O'Reilly Factor, Bill O'Reilly declares: "According to the French government tourist office, the Factor-led boycott has cost the French economy about $500 million so far. More than 40% of Americans who planned to travel to France have modified those plans. We say good. Until President Chirac apologizes to all Americans for putting us in danger, the boycott stays." |
| 8 Jun 2003 |
The Washington Times reports that, in the previous month, a Philadelphia girl's school canceled a 27-year-old student exchange program with its counterpart in Carcassonne, France. A teacher at Springside School explained: "While the individual families would be OK, there is, we feel, too great a risk of unpleasantness in public places. I had two families refuse outright to host because they did not wish to house a French student, and two others have since withdrawn." |
| 24 Nov 2003 |
During a televised debate, NBC news anchor Tom Brokaw asks Senator John Kerry:
| BROKAW: |
Senator Kerry, what about the French? Are they friends? Are they enemies? Or something in-between at this point? |
| KERRY: |
The French are the French. |
| BROKAW: |
Very profound, senator. |
| KERRY: |
Well, trust me, it has a meaning. And I think most people know exactly what I mean. |
|
| 12 Aug 2004 |
During an official Bush-Cheney 2004 campaign conference call, Republican Senator Gordon Smith tells reporters: "It's not John Kerry's fault that he looks French. But it is his fault that he wants to pursue policies that have us act like the French. He advocates all kinds of additional socialism at home, appeasement abroad, and what that means is weakness for the future." |
Freedom Fries
| Feb 2003 |
Neal Rowland starts a trend when he places a sign in the window of Cubbie's, his restaurant in Beaufort, North Carolina. It reads: "Because of Cubbie's support for our troops, we no longer serve french fries. We now serve freedom fries." |
| 11 Mar 2003 |
At the urging of North Carolina Congressman Walter B. Jones, Ohio Representative Bob Ney, Chairman of the Committee on House Administration, directs the House cafeteria to replace "french fries" and "french toast" with "freedom fries" and "freedom toast" on all menus. Ney ultimately resigns in a corruption scandal in November 2006. |
| 14 Mar 2003 |
The Fuddruckers nationwide restaurant chain jumps on the bandwagon, substituting the name "Freedom Fries" in place of french fries on the menus of their 200+ eateries. |
| 26 Mar 2003 |
The official breakfast menu aboard Air Force One includes "stuffed freedom toast topped with strawberries." |
| Jan 2006 |
Progressing beyond the freedom fries on its menu, famed Philadelphia cheesesteak joint Geno's Steaks institutes an English-only rule for customer orders. |
| Jan 2006 |
In an interview with Mother Jones magazine, North Carolina Congressman Walter B. Jones expresses regret for having tinkered with the House cafeteria menus: "I wish it had never happened." |
| Jul 2006 |
The House cafeteria menus are finally restored to say "french fries" and "french toast." |
Timeless Quotes
"I would rather have a German division in front of me than a French one
behind me."
-- bogus quote, attributed to General George S. Patton
"Hank, we are fighting a war here called 'Thanksgiving at the Airport.' Now, we can either stand here and take it like the French, or we can beat the rest of these chumps to the hotel."
--- Peggy Hill, King of the Hill
"The only time France wants us to go to war is when the German Army is
sitting in Paris sipping coffee."
-- Regis Philbin
"You know, the French remind me a little bit of an aging actress of the
1940s who was still trying to dine out on her looks but doesn't have the
face for it."
--- suspicious quote attributed to John McCain, U.S. Senator from Arizona
"You know why the French don't want to bomb Saddam Hussein? Because he
hates America, he loves mistresses and wears a beret. He is French, people."
--- Conan O'Brien
"I don't know why people are surprised that France won't help us get
Saddam out of Iraq. After all, France wouldn't help us get the Germans out of France!"
-- Jay Leno
"The last time the French asked for 'more proof' it came marching into
Paris under a German flag."
-- David Letterman
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


| void GUICustomAuth.ConnectWithNickname |
( |
| ) |
|
| void GUICustomAuth.OnCustomAuthenticationFailed |
( |
string |
debugMessage | ) |
|
This method is called when Custom Authentication is setup for your app but fails for any reasons.
Unless you setup a custom authentication service for your app (in the Dashboard), this won't be called. If authentication is successful, this method is not called but OnJoinedLobby, OnConnectedToMaster and the others will be called.
- Parameters
-
| void GUICustomAuth.OnJoinedLobby |
( |
| ) |
|
| void GUICustomAuth.SetStateAuthFailed |
( |
| ) |
|
| void GUICustomAuth.SetStateAuthHelp |
( |
| ) |
|
| void GUICustomAuth.SetStateAuthInput |
( |
| ) |
|
| void GUICustomAuth.SetStateAuthOrNot |
( |
| ) |
|
| Rect GUICustomAuth.GuiRect |
| GameObject GUICustomAuth.RootOf3dButtons |
The documentation for this class was generated from the following file:
- D:/work/LittleHeroes_Game/Assets/Photon Unity Networking/Demos/DemoFriendsAndCustomAuth/GUICustomAuth.cs


Updating Schematics
Note: Spartacus 3.x is no longer maintained. Please upgrade to the latest version.
Note: Spartacus 3.x was tested with SAP Commerce Cloud versions 1905 to 2105. Spartacus 3.x has not been verified to work with (and is not guaranteed to work with) SAP Commerce Cloud 2211 or later releases.
When upgrading Spartacus to a new major version (for example, from 3.x to 4.0), the Spartacus migration mechanism automatically implements fixes for code that is modified or removed in the new version.
When you are working on a feature or a bug, or making any other change to the Spartacus source code, you need to update the schematics as part of the Definition Of Done. By making these updates iteratively as part of the DoD for each change to the source code, it saves you from having to spend a lot of time upgrading the migration mechanism at the end of the development cycle, and as a result, it makes it easier to prepare the Spartacus libraries for a new major version.
Table of Contents
- Migration Mechanism
- Structure for Updating Schematics
- Validations
- Constructor Deprecation
- Commenting Code
- Component Deprecation
- CSS
- Adding a Migration
Migration Mechanism
After upgrading to a new major version, the migration mechanism should be updated at the very beginning of the new development cycle. For example, if Spartacus has been updated from version 2.x to 3.0, the updated mechanism should be merged to the develop
branch as soon as possible. This allows contributors to include migrations with their features and bug fixes from the very start of the development cycle.
Structure for Updating Schematics
The projects/schematics/src/migrations/migrations.json
file contains a list of all the migration scripts for every Spartacus version. The following is an example of a migration script:
"migration-v3-constructor-deprecations-03": {
"version": "3.0.0",
"factory": "./3_0/constructor-deprecations/constructor-deprecations#migrate",
"description": "Add or remove constructor parameters"
},
Each script has a set of properties, which are described as follows:
name
allows developers to quickly understand what the migration script is doing. The migrationname
has the following pattern:migration-v<version>-<migration-feature-name>-<sequence-number>
. The elements ofname
are as follows:version
indicates which version of Spartacus the migration is intended for.migration-feature-name
is a short name that describes what the migration is doing.sequence-number
indicates the order of execution for the migration scripts. For example, if a script has asequence-number
of03
, it will be the third script to execute when the migration scripts are run.
version
is very important for the Angular update mechanism. It is used to automatically run the required migration scripts for a specific version. For more information, see the Releasing Update Schematics section of the schematics README.factory
points to the relevant migration script.description
is a short, free-form description field to describe what the migration script does.
Validations
If any validations need to be run before actually upgrading Spartacus, you can use the “migration script” located in projects/schematics/src/migrations/2_0/validate.ts
.
Constructor Deprecation
The projects/schematics/src/migrations/2_0/constructor-deprecations.ts
performs the constructor migration tasks. Usually, a developer does not need to touch this file, and instead should describe constructor deprecations in projects/schematics/src/migrations/2_0/constructor-deprecation-data.ts
. The CONSTRUCTOR_DEPRECATION_DATA
constant describes the deprecated constructor, and includes the addParams
and removeParams
properties that allow you to specify which parameters should be added or removed, respectively.
Commenting Code
When it is not possible to automatically migrate code, we often place a comment in the customer’s code base that describes what the customer should do to upgrade their project to the new version of Spartacus. We should do this only in cases where upgrading manually is easy, and writing a migration script would be too complex.
The projects/schematics/src/shared/utils/file-utils.ts#insertCommentAboveIdentifier
method adds comments above the specified identifier
TypeScript node.
The following are examples of how you might add a comment:
- If you removed an API method, you could add a comment above the removed method that suggests which method can be used instead.
- If you changed the parameters of an NgRx action, you could add a comment above the action where the parameters were changed.
Component Deprecation
Similar to constructor deprecation, projects/schematics/src/migrations/2_0/component-deprecations.ts
performs component migration tasks, for both component *.ts
and HTML
templates. Usually, a developer does not need to touch this file, and instead should describe component deprecations in projects/schematics/src/migrations/2_0/component-deprecations-data.ts
. The COMPONENT_DEPRECATION_DATA
constant describes the deprecated components.
CSS
To handle CSS changes, we print a link to the CSS migration documentation, where customers can look up which CSS selectors have changed in the new version of Spartacus. If you are making a change to a CSS selector, simply update the relevant documentation (such as, Changes to Styles in 3.0).
Adding a Migration
The following is an example flow for adding a migration:
- Check whether any of the changed files are exported in the public API. If no, then no further action is required.
- Check whether any of the changes you have made are breaking changes. If not, no further action is required. For more information, see Maintaining Public APIs.
- For every breaking change, you must do the following:
- Document the breaking change by updating the corresponding migration doc file (such as
docs/migration/3_0.md
), and if necessary, ensure that code comments have been added. - Build automation tasks, as described in the Validations, Constructor Deprecation, and Component Deprecation) sections, above.
- Test the added migrations by running tests, trying to migrate an example app, and so on.
- Document the breaking change by updating the corresponding migration doc file (such as
You can see an example of adding a migration in this pull request.


Dgame.Window.GLSettings
- struct GLSettings;
- The GLSettings structure defines a way to tell OpenGL important user settings,
like the desired major / minor version or the anti aliasing level.
Note:
if anti aliasing is activated you will notice a drastic reduction of your framerate.
Author:
Randy Schuett<EMAIL_ADDRESS>- GL.Version vers;
- The OpenGL Version. Default is the highest supported version.
- ubyte antiAlias;
- Anti aliasing level. 0 means deactivated.
Note:
A too high value may crash your application at the beginning
because your driver does not support it.
Typical values are 2, 4 or 8
- GL.Profile profile;
- The OpenGL Context profile. Default is Profile.Compatibility
- pure nothrow @nogc this(ubyte antiAlias, GL.Version vers = GL.Version.Default, GL.Profile = GL.Profile.Compatibility);
- CTor
Page generated by Ddoc.


▼ Floor 29 The living room was filled with a buttery-yellow couch that accentuated the thunderous blitz of light coming in through the windows.[G|D] The affluent judge could be heard adjudging the case aloud, leaving no doubt that the decision was final.[G|D] His attempt to bluff and assault the bull with a fierce roar was met with a thunderous bellow that reverberated through the valley.[G|D] She assumed that the chummy bump between them was a sign that they were now friends, when in reality it was just an awkward misunderstanding.[G|D]


Question 2/10
a.) var qpt="Quality Point Technologies";
b.) var qpt=new String("Quality Point Technologies");
In javascript, which of the above statement can used for string declaration ?
Either (a) or (b)
Only (a)
Neither (a) nor (b)
Only (b)


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|
Voxomap
A C++11 voxel container.
|
Public Member Functions | |
| bool | hasVoxel (Cache &cache, Vector3I const &boxPosition, int boxSize) const |
| bool | hasVoxel () const |
Public Attributes | |
| uint8_t | presence [8] = { 0 } |
| Represent the presence of voxel/container inside the node. More... | |
Definition at line 105 of file Raycast.hpp.
| bool voxomap::Raycast< T_Container >::Cache::PresenceCache::hasVoxel | ( | Cache & | cache, |
| Vector3I const & | boxPosition, | ||
| int | boxSize | ||
| ) | const |
| bool voxomap::Raycast< T_Container >::Cache::PresenceCache::hasVoxel | ( | ) | const |
Definition at line 108 of file Raycast.hpp.
| uint8_t voxomap::Raycast< T_Container >::Cache::PresenceCache::presence[8] = { 0 } |
Represent the presence of voxel/container inside the node.
Definition at line 110 of file Raycast.hpp.


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Japan Oct exports fall 9.2% year/year - MOF
by ReutersTOKYO — Japan’s exports slipped 9.2% in October from a year earlier, down for the 11th straight month, Ministry of Finance data showed on Wednesday.
That compared with a 7.6% decline expected by economists in a Reuters poll and followed a 5.2% fall in September.
Imports dropped 14.8% in the year to October, compared with the median estimate of a 16.0% decline.
The trade balance came to a surplus of 17.3 billion yen ($159.49 million), against the median estimate of a 301.0 billion yen surplus.
To view the full tables, go to the MOF website at:
http://www.customs.go.jp/toukei/info/index_e.htm ($1 = 108.4700 yen) (Reporting by Daniel Leussink Editing by Chang-Ran Kim)


2 references to GetAutomaticVariable
System.Management.Automation (2)
engine\debugger\debugger.cs (1)
1137
var invocationInfo = (InvocationInfo)functionContext._localsTuple.
GetAutomaticVariable
(AutomaticVariable.MyInvocation);
engine\runtime\Operations\VariableOps.cs (1)
259
tuple.
GetAutomaticVariable
(AutomaticVariable.PSBoundParameters) as PSBoundParametersDictionary;


The quality of orange juice produced by a manufacturer (identity unknown) is constantly being monitored. The manufacturer has developed a “sweetness index” for its orange juice, for which a higher value means sweeter juice. Is the sweetness index related to a chemical measure such as the amount of water-soluble pectin (parts per million) in the orange juice? Data were obtained from 24 production runs, and the sweetness and pectin content were measured for each run. The data are in link. Open that link up now. You can click on that link just above to open the file.
Solution
Start with this (almost always):
The appropriate function, the data values being separated by a space,
will be read_delim
. Put the URL as the first thing in
read_delim
, or (better) define it into a variable
first:
I say better because otherwise the read line gets rather long. This way you read it as the URL is some long thing that I don’t care about especially, and I what I need to do is to read the data from that URL, separated by spaces.
## Parsed with column specification:
## cols(
## run = col_double(),
## sweetness = col_double(),
## pectin = col_double()
## )
read_delim
(or read_csv
or any of the others) tell
you what variables were read in, and also tell you about any “parsing errors”
where it couldn’t work out what was what. Here, we have three
variables, which is entirely consistent with the three columns of data
values in the file.
read_delim
can handle data values separated by any
character, not just spaces, but the separating character, known as a
“delimiter”, does not have a default, so you have to say what
it is, every time.
Solution
Type the name of the data frame in a code chunk (a new one, or
add it to the end of the previous one). Because this is actually
a “tibble”, which is what read_delim
reads in,
you’ll only actually see the first 10 lines, but it will tell
you how many lines there are altogether, and you can click on
the appropriate thing to see the rest of it.
## # A tibble: 24 x 3
## run sweetness pectin
## <dbl> <dbl> <dbl>
## 1 1 5.2 220
## 2 2 5.5 227
## 3 3 6 259
## 4 4 5.9 210
## 5 5 5.8 224
## 6 6 6 215
## 7 7 5.8 231
## 8 8 5.6 268
## 9 9 5.6 239
## 10 10 5.9 212
## # … with 14 more rows
I appear to have all the data. If you want further convincing, click Next a couple of times (on yours) to be sure that the runs go down to number 24.
Solution
They came from the top line of the data file, so we didn’t
have to specify them. This is the default behaviour of all the
read_
functions, so we don’t have to ask for it
specially.
Extra: in fact, if the top line of your data file is
not variable names, that’s when you have to say
something special. The read_
functions have an
option col_names
which can either be TRUE
(the default), which means “read them in from the top line”,
FALSE
(“they are not there, so make some up”) or a
list of column names to use. You might use the last
alternative when the column names that are in the file are
not the ones you want to use; in that case, you would
also say skip=1
to skip the first line. For example,
with file a.txt
thus:
a b
1 2
3 4
5 6
you could read the same data but call the columns x
and
y
thus:
## Parsed with column specification:
## cols(
## x = col_double(),
## y = col_double()
## )
## # A tibble: 3 x 2
## x y
## <dbl> <dbl>
## 1 1 2
## 2 3 4
## 3 5 6
sweetness
is the outcome variable
and pectin
is explanatory, so draw your scatterplot
appropriately.)Solution
This requires a ggplot
plot. You can go back and look
at the lecture notes to figure out how to make a scatterplot:
the “what to plot” is the \(x\)-axis and \(y\)-axis variables,
with the response on the \(y\)-axis (starting with a data frame
to get the variables from), and the “how to plot” is
geom_point
to plot the points:
It looks to me as if there is a negative relationship: as pectin goes up, sweetness tends to go down. The trend appears to go top left to bottom right.
Having said that, I’m wondering how much of the apparent trend is caused by those two observations bottom right with pectin over 350. If you take those away, the trend seems to me to be a lot less convincing. As an extra, you could add a smooth trend to the plot:
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
The smooth trend is kind of downhill, but not very convincing.
A company operates two production lines in a factory for making soap bars. The production lines are labelled A and B. A production line that moves faster may produce more soap, but may possibly also produce more “scrap” (that is, bits of soap that can no longer be made into soap bars and will have to be thrown away).
The data are in link.
Solution
Read directly from the URL, most easily:
## Parsed with column specification:
## cols(
## case = col_double(),
## scrap = col_double(),
## speed = col_double(),
## line = col_character()
## )
## # A tibble: 27 x 4
## case scrap speed line
## <dbl> <dbl> <dbl> <chr>
## 1 1 218 100 a
## 2 2 248 125 a
## 3 3 360 220 a
## 4 4 351 205 a
## 5 5 470 300 a
## 6 6 394 255 a
## 7 7 332 225 a
## 8 8 321 175 a
## 9 9 410 270 a
## 10 10 260 170 a
## # … with 17 more rows
27 rows. line
, which is either a
or b
, was
correctly deduced to be text.
scrap
values, using 10
bins for your histogram.Solution
Solution
I would call this “bimodal”. There are two peaks to the histogram, one around 250 and one around 370, with a very small frequency in between (the bar around 300). Apart from the bimodality, there is no particular evidence for a long tail on either end, so I don’t think you could otherwise call it anything other than symmetric. Having said that (this is going beyond the question), the way a histogram looks can depend on the bins you choose to draw it with. This is 8 bins rather than 10:
The middle low-frequency bin has gone, and this one just looks symmetric, with a kind of “flat top”.
Solution
One categorical, one quantitative variable, so boxplots make sense.
Solution
I would say that there is a difference between the two production lines, with line A producing an average (median) of about 330 and line B producing a median of about 275. But you could also make the case that, although the medians are rather different, there is a lot of variability and hence a lot of overlap between the two boxplots, and therefore that there is not a “substantial” difference. I would say that either of those answers are good . This is going to be a common theme in this course: I am going to ask you to make a decision and support it, where the reasons you provide are often more important than the decision you make. You might be wondering whether the medians, or means, since there is no serious skewness here and definitely no outliers, are “significantly different”. This is inference, which we will come to later, but a preview looks like this:
##
## Welch Two Sample t-test
##
## data: scrap by line
## t = 1.2493, df = 21.087, p-value = 0.2253
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -26.97888 108.21222
## sample estimates:
## mean in group a mean in group b
## 333.5333 292.9167
They are not: the P-value of 0.22 is not anywhere near as small as 0.05, so we can’t reject the null hypothesis that the two lines have equal mean amount of scrap.
Rusty on this stuff? Don’t worry; we’re going to come back to it later in the course.
I was also wondering about something else: that bimodal histogram. Could that be explained by the scrap values being two different production lines being mixed together? One way to understand that is to have two separate histograms, one for each line, side by side, which is what facetting does. There is an extra wrinkle here that I explain afterwards:
I could have used facet_wrap
, but that would have put the
histograms side by side, and I wanted them one above the other (for
ease of comparison, since they’ll be on the same
scale). facet_grid
is like facet_wrap
, but offers
you more control over where the facets go: you can arrange them above
and below by a variable, or left and right by a variable. Whatever is
facetting the plots up and down (on the \(y\) axis) goes before the
squiggle, and whatever facets them left and right goes after. If there
is nothing separating the facets in one direction, here horizontally,
the variable is replaced by a dot.
In some ways, facet_grid
is also less flexible,
because the facets have to be arranged up/down or left/right by a
variable. That worked here, but if you think back to the Australian
athletes, where there were ten different sports, it was
facet_wrap
that did the right thing, arranging the sports
along rows and columns to produce a pleasing display.
All right, that bimodality. I was expecting that the scrap values from one line would be centred about one value and the scrap values from the other line would be centred about a different value, with a gap in between. But that’s not what happened at all: the line B values are all over the place, while it’s the line A values that are actually bimodal all by themselves. I’m not sure whether that really means anything, since the data sets are pretty small, but it’s kind of interesting.
scrap
on the \(y\) axis and
speed
on the \(x\) axis.Solution
Same mechanism as before:
Solution
There seems to be a pretty evident upward trend, apparently
linear, which means that if the speed of the production line is
higher, the amount of scrap produced is also higher.
My last sentence was meant to remind you that
“there is an upward trend” is not a complete answer:
we are concerned
with what that upward trend tells us about the data.
This, in other words, confirms the suspicion expressed in the
question, which was therefore a rather large clue: more speed
tends to go with more scrap.
That was as far as I wanted you to go: there seems to be an
association with speed, and there might be an association with
line
that turned out not to be statistically significant.
What we haven’t done is to assess the relationship between speed
and scrap for each production line. To do that, we want
to plot the scrap-speed points distinguished for each production
line. ggplot
makes that easy: you add a
colour
If you are concerned about the spelling: the guy who wrote ggplot is from New Zealand, where they spell colour the same way we do. However, if you want to use color, that works too. to say what you want to
distinguish by colour. This is two quantitative variables and one
categorical variable, if you want to think of it that way:
Notice that we get a legend, automatically.
What is interesting about this one is the red dots are mostly at the top (for any given speed), and the blue dots are mostly at the bottom. That seems to mean that when we account for speed, there is a difference between lines.
I want to show you one more embellishment, which is to put the
regression lines on the plot for each group separately. This is where
ggplot
is so nice, since I just have to add one thing:
ggplot(soap, aes(x = speed, y = scrap, colour = line)) +
geom_point() + geom_smooth(method = "lm", se = F)
## `geom_smooth()` using formula 'y ~ x'
The points and lines have come out in different colours, without our having to think too hard.
Both lines show an upward trend, with about the same slope, which means that regardless of line, increasing the speed goes with increasing the scrap by the same amount. The fact that the red line is above the blue one, however, suggests that production line A produces more scrap at the same speed than production line B.
From a management point of view, there is an interesting dynamic at work: if you run the production line faster, you’ll produce more bars of soap, but you’ll produce more scrap as well. The crucial thing for the people in the supervisor’s office is how much raw material is used per bar of soap, and if you make the soap bars faster, you might use more raw material, which will eat into your profits (from one angle), but you will also have more bars of soap to sell.
Here’s another way to see the same thing. I’m definitely not expecting you to follow the code, but you can admire the result!
soap2 <- soap %>% select(-line)
ggplot(soap, aes(x = speed, y = scrap)) +
geom_point(data = soap2, colour = "grey") +
geom_point(aes(colour = line)) + facet_wrap(~line)
$
The idea is that we plot all the points in grey (to “put them in the background”) and then in each plot we plot the points again, coloured, for the group we are looking at: line A in the left, line B on the right. This is another way of seeing that line A has more scrap than line B, given the speed at which the line was being run. (I discovered this technique only yesterday. I think the code is remarkably concise for what it does.)
The logic of the code is:
create a new data frame that contains everything in
soap
except for line
make a scatter plot of all the points in this new data frame, coloured grey
plot the points again (from the original data frame), coloured by which production line they’re from
produce a separate scatterplot for each production line.
The trick about creating the new data frame was to enable plotting of
all points regardless of group on each subplot (“facet” in
ggplot
terminology), as well as the ones that come from that
production line.
I don’t expect you to be able to follow all the details of the code
below, either,
but I would like you to try and get the logic. What we do is a
regression predicting scrap
from two things:
speed
and production line
. The results we get are these:
##
## Call:
## lm(formula = scrap ~ speed + line, data = soap)
##
## Residuals:
## Min 1Q Median 3Q Max
## -39.557 -14.161 -0.121 17.518 33.953
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 80.41099 14.54379 5.529 1.10e-05 ***
## speed 1.23074 0.06555 18.775 7.48e-16 ***
## lineb -53.12920 8.21003 -6.471 1.08e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21.13 on 24 degrees of freedom
## Multiple R-squared: 0.9402, Adjusted R-squared: 0.9352
## F-statistic: 188.6 on 2 and 24 DF, p-value: 2.104e-15
The P-values for speed
and line
are the second and
third things in the last column, \(7 \times 10^{-16}\) and \(1 \times 10^{-6}\)
respectively. These are both very strongly significant, in contrast to
the two-sample \(t\)-test where line
was not significant.
So does production line make a difference or not?
The plot says that it does, and the meaning of model scrap.1
just above is that
, and
.
(In the two-sample \(t\)-test above we didn’t
account for speed at all, since the various speeds were all mixed up.)
There is a moral to this story, which I would like you to get even if
you don’t get any of the statistics: if a variable makes a
difference, it should be in your model and on your
graph,
Meaning that the model should contain all three variables, speed, scrap and line.
because it enables you to get better (more precise) conclusions about your
other variables. Here, there really is a difference between the
production lines, but the \(t\)-test was too much of a blunt instrument
to unearth it (because speed
made a difference as well).
A company called Global Electronics from
time to time imports shipments of a certain large part used as a
component in several of its products. The size of the shipment varies
each time. Each shipment is sent to one of two warehouses (labelled A
and B) for handling. The data in
link show the
size
of each shipment (in thousands of parts) and the direct
cost
of handling it, in thousands of dollars. Also shown is
the warehouse
(A or B) that handled each shipment.
Solution
If you open the data file in your web browser, it will probably open as a spreadsheet, which is not really very helpful, since then it is not clear what to do with it. You could, I suppose, save it and upload it to R Studio Cloud, but it requires much less brainpower to open it directly from the URL:
## Parsed with column specification:
## cols(
## warehouse = col_character(),
## size = col_double(),
## cost = col_double()
## )
If you display your data frame and it looks like this, you are good (you can give the data frame any name):
## # A tibble: 10 x 3
## warehouse size cost
## <chr> <dbl> <dbl>
## 1 A 225 12.0
## 2 B 350 14.1
## 3 A 150 8.93
## 4 A 200 11.0
## 5 A 175 10.0
## 6 A 180 10.1
## 7 B 325 13.8
## 8 B 290 13.3
## 9 B 400 15
## 10 A 125 7.97
It has 10 rows and 3 columns. You need to say this to get the mark.
That is, there were 10 shipments recorded, and for each of them, 3 variables were noted: the size and cost of the shipment, and the warehouse it was handled at.
Solution
The wording of the question says that cost is the response and so
belongs on the \(y\)-axis. To make the plot, ggplot
with an
x=
and a y=
in the aes
(the “what to plot”
part), and a geom_point()
after (the “how to plot it”):
As a matter of coding, there are usually two brackets to close
after the aes
, the one that begins the ggplot
and
the one that begins the aes
.
Solution
I see an upward trend: a shipment with larger size
costs
more to handle.
If you look carefully at the scatterplot, you see that the cost of
handling a small shipment goes up fairly steeply with its size,
but the cost of handling a large shipment, while it still
increases with size
, does not increase so fast. Thus
having one straight line to describe the whole relationship would
not work so well.
The relationship is actually two different
straight lines joined end-to-end, which we will explore later, but
if you think the relationship is curved, I’ll accept that. The
point is to get at the idea that the rate of increase is not
constant.
Solution
The veiled hint in the question is that the decision must depend
on size
, since it cannot depend on cost
. So we
have one quantitative variable size
and one categorical
variable warehouse
, which suggests drawing boxplots:
Well, there’s the answer right there. When the shipment has small
size
, it goes to warehouse A, and when it’s large, it goes to
Warehouse B. We know this because all the shipments smaller
than about 250 (thousand parts) went to A and all the shipments
larger than that went to B. (If you want to provide a number to
delineate “small” and “large”, anything between the largest A,
about 225, and the smallest B, about 290, will do.)
Another way to think about this is to add something to the scatterplot you drew before. The obvious thing is to make the two warehouses different colours:
As a point of technique, you can split lines of code to make them fit
on your screen. You can do this as long as , so that R knows more is to
come. Ending a line with a pipe symbol, or, as here, with one of the
pluses in the middle of a ggplot
, will work. If you put the
plus on the start of the next line, you’ll get a blank plot, because R
thinks you’re done plotting. Try it and see.
Anyway, this plot tells exactly the same story: the small shipments
(in size or cost) go to Warehouse A and the large ones to Warehouse
B. But we don’t know cost when the decision is made about which
warehouse to send a shipment to, so the decision must be based on
size
.
In the place where I got these data, it said “larger shipments are sent to Warehouse B, since this warehouse has specialized equipment that provides greater economies of scale for larger shipments”. That is to say, very large shipments are more expensive to handle, but not as expensive as you might think. This is the same idea that it costs more to ride the GO bus from UTSC to York U than it does to ride from UTSC to Scarborough Town, but if you work out how much it costs per kilometre, the longer journey costs less per km. As of when I’m writing this, $5.30 for the 7.2 km to Scarborough Town and $6.75 for the 38 km to York. That’s quite an economy of scale, isn’t it? That makes sense with our scatterplot, because the slope for larger shipments is less than for smaller shipments.
When we get to regression later, we’ll see what happens if we fit a straight line to data like these, and how to tell whether we really ought to be able to do better with a different form of relationship. There is also a trick to fit what is called a “piecewise linear regression”, which has one slope for small shipment sizes, a different (smaller) slope for large ones, and joins up in the middle. But that’s well beyond our scope now.


This page demonstrates basic interaction between the host app and the webview by means of Web Messages.
Messages can be posted from the host app to the webview using the
functions ICoreWebView2::PostWebMessageAsJson
and
ICoreWebView2::PostWebMessageAsString
. Try using the menu item
"Script->Post Message JSON" to send the message {"SetColor":"blue"}
.
It should change the text color of this paragraph.
The host app can receive messages by registering an event handler with
ICoreWebView2::add_WebMessageReceived
. If you enter text and click
"Send", this page will send a message to the host app which will change the text of
the title bar.
The host app can send messages back in response to received messages. If you click "Get window bounds", the host app will report back the bounds of its window, which will appear in the text box.


Use just two Bootstrap utility classes and three custom CSS rules and you will have a flexbox enabled sticky footer for your website!


Denoising fMRI Data¶
The primary means for denoising fMRI data is to take fMRIPREP output formatted as an image data dictionary, which contains the functional data, plus metadata that will be used in denoising such as confounds and TR. Denoising can also be conducted based on numpy arrays that are loaded into memory using the run_denoising function under denoise.general. The denoising discussed here is a wrapper around this function that gives additional functionality for the case when you have an image data dictionary structured with fMRIPREP output.
The denoising function follows a series of steps (some mandatory, others optional):
DVARS is calculated on the input data
If hpf_before_regression is a float, then any nuisance regressors and the input timeseries will be put through a high-pass filter with the cutoff frequency as the specified value. This is skipped if set to False.
Timepoints to be excluded from analysis are identified (see Formatting Scrubbing Dictionary)
Nuisance matrix containing (optionally) both ‘clean’ signal content and ‘noise’ signal content, along with offset and linear trend. a. If no ‘noise’ components are provided, nuisance regression is skipped b. If scrubbing is conducted, none of the scrubbed timepoints will be included while fitting nuisance regressors. c. If only noise components are provided, the full nuisance matrix will be fit to the input timeseries and any variance explained by this fit will be subtracted from the input timeseries d. If both noise components and clean components are provided, then the full matrix will be fit to the input timeseries, but only variance explained by the nuisance components will be subtracted from the input timeseries.
Any missing timepoints from scrubbing will be interpolated over using the output (residuals) from the previous step. Recommended interpolation is spectral, but linear and cubic are also supported.
The signal at this point can either be high-passed, low-passed, or band-passed. Otherwise set relevant parameters to False.
The scrubbed timepoints that were previously interpolated over are now removed again from the signal and replaced with NaNs
A new hdf5 image data dictionary is created with the cleaned timeseries and metadata relevant to the denoising process.
check out idd
Example¶
TBD
Formatting Scrubbing Dictionary¶
If scrubbing dictionary is set to False, then the initial timepoints to remove at the beginning of the scan (specified under fmriprep_out_dict) will be the only ones specified for removal.
Alternatively, scrubbing can be conducted by either (1) setting a combination of hard thresholds using any of the fMRIPREP confounds elements, or (2) a fixed proportion of timepoints can be removed from each scan based on a weighted combination of any fMRIPREP confounds elements (in this case each element will be z-scored and then the z-scored confound scores will be added). In either case, the timepoint before/after timepoints will be scrubbed. If several subjects are ran with the Uniform, this padding may lead to not small differences in the number of volumes included for each subject.
#no scrubbing
scrubbing_dict = False
#scrub timepoints where fd > 0.5mm or std_dvars > 1.5
scrubbing_dict = {'framewise_displacement' : 0.5, 'std_dvars' : 1.5}
#scrub 20% of timepoints (keep 80%) based on combination of
#fd and std_dvars.
scrubbing_dict = {'Uniform' : [0.8, ['framewise_displacement', 'std_dvars']]}
Formatting Denoising Dictionary¶
The noise_comps_dict and clean_comps_dict that are used for denoising are formatted in the same way. When set to False, they are ignored. Otherwise any of the elements found in the fmriprep_metadata group of the image data dictionary can be used. The confound, or confounds of interest are represented as keys in the dictionary, and the value specifies if PCA should be done to reduce the data (set to False if no PC is desired, otherwise set to the number of components - in cases where confound isn’t grouped, then value should be set to False).
#no denoising
clean_comps_dict = False
noise_comps_dict = False
#regress wm, csf, gsr, and 24 motion_params
clean_comps_dict = False
noise_comps_dict = {'wmcsfgsr' : False, 'motion_params_24' : False}
#regress wm, csf, and gsr, with 24 motion params but reduce
#the 24 motion params to 6 components
clean_comps_dict = False
noise_comps_dict = {'wmcsfgsr' : False, 'motion_params_24' : False}
#regress aroma nuisance ICs, but only variance that isn't explained by
#aroma clean ICs
clean_comps_dict = {'aroma_clean_ics' : False}
noise_comps_dict = {'aroma_noise_ics' : False}


The arctic fox is an incredibly hardy animal that can survive frigid Arctic temperatures as low as -58°F.
Arctic foxes have beautiful white (sometimes blue-gray) coats that act as very effective winter camouflage. The natural hues allow the animal to blend into the tundra's ubiquitous snow and ice. When the seasons change, the fox's coat turns as well, adopting a brown or gray appearance that provides cover among the summer tundra's rocks and plants.


iPhone/iPad
In today's society the smartphone controls our lives and the way we operate. When you look around everyone has a smartphone and they all have a similar design and features as each other. We can all thank Apple for the smartphone industry because Apple revolutionized this industry when they first came out with the original iPhone in 2007 which shocked the technology world. From 2007 - present day, Apple has created 10 different models of the iPhone. Each model is a successor to the previous with faster processing speed and improved interface and design. 2013 began the generation of iPhones that were different in sizes and models and the public was able to choose their preference. Jonathan Ive was the designer behind the iPhone while Steve Jobs focused all the attention towards this project.
Originally Apple's focus was to design a tablet, but it shifted it's focus to designing the iPhone. Once the iPhone was released and became part of Apple's product line, Apple shifted their focus back to the tablet project. Apple released a tablet computer in 1993 called the Newton MessagePad 100 but was soon discontinued. After the launch of the iPhone, Apple shifted their focus and re-entered the project to create the iPad. The iPad was announced in 2010 by Steve Jobs. Since 2010 Apple has introduced 9 different models of the iPad each improving the previous model. In today's society we have iPad mini which is a smaller version of the original but with the same functions, the original iPad but in it's 4th generation with a faster processor and more features, and the very thin iPad air which has the same functionality and features as the others but in a thinner state.
Having issues with your iPhone or iPads? Contact us by filling out our appointment form and we will get back to you will initial troubleshooting tips.


Fiona Tweedie
holds a PhD in Ancient History from the University of Sydney. She
now leads a program at the University of Melbourne training
researchers in digital research tools and methods, with a focus on
capacity-building in the Digital Humanities. She volunteers with
Open Knowledge Australia and is an unrepentant fabulist.
Instructor Trainer


I told a fib when I said I put the baby to bed, but she was actually still in the crib with her bib on. [G|D]
The politician gave a glib response to the question, trying to jib and dodge rather than give a straight answer, but the interviewer was not fooled and called him out for being a lib. [G|D]
The memsahib was annoyed when she discovered that her nib had broken off in the middle of writing an important letter, but she managed to continue writing with a spare rib from the roast chicken. [G|D]
The sahib was delighted when his long-lost sib showed up unexpectedly, but the reunion was dampened when a squib went off and caused a commotion. [G|D]


public abstract class BaseRegulatedMotor extends EV3DevDevice implements RegulatedMotor
forward, backward, reverseDirection, stop
and flt
. To set each motor's velocity, use setSpeed
.
The maximum velocity of the motor is limited by the battery voltage and load.
With no load, the maximum degrees per second is about 100 times the voltage
(for the large EV3 motor). setAcceleration(int acceleration)
method.
The methods rotate(int angle)
and rotateTo(int ange)
use the tachometer to control the position at which the motor stops, usually within 1 degree
or 2. RegulatedMotorListener
interface may register with this class.
It will be informed each time the motor starts or stops.
isStalled()
returns true.
| Modifier and Type | Field and Description |
|---|---|
protected int |
acceleration |
private java.lang.String |
BRAKE |
private java.lang.String |
COMMAND |
private java.lang.String |
DUTY_CYCLE |
private int |
local_speed |
private java.lang.String |
MODE |
private java.lang.String |
POSITION |
private boolean |
regulationFlag |
private java.lang.String |
RESET |
private java.lang.String |
RUN_FOREVER |
private java.lang.String |
RUN_TO_ABS_POS |
private java.lang.String |
RUN_TO_REL_POS |
protected float |
speed |
private java.lang.String |
SPEED |
private java.lang.String |
SPEED_REGULATION |
private java.lang.String |
SPEED_REGULATION_OFF |
private java.lang.String |
SPEED_REGULATION_ON |
private java.lang.String |
STATE |
private java.lang.String |
STATE_RUNNING |
private java.lang.String |
STATE_STALLED |
private java.lang.String |
STOP |
private static java.lang.String |
SYSTEM_CLASS_NAME |
private static java.lang.String |
SYSTEM_PORT_CLASS_NAME |
PATH_DEVICE
| Constructor and Description |
|---|
BaseRegulatedMotor(java.lang.String motorPort,
float moveP,
float moveI,
float moveD,
float holdP,
float holdI,
float holdD,
int offset,
int maxSpeed) |
| Modifier and Type | Method and Description |
|---|---|
void |
backward()
Causes motor to rotate backwards until
stop() or flt() is called. |
void |
close()
Close the motor regulator.
|
void |
flt()
Set the motor into float mode.
|
void |
forward()
Causes motor to rotate forward until
stop() or flt() is called. |
float |
getPosition()
Returns the current position that the motor regulator is trying to
maintain.
|
int |
getRotationSpeed()
Return the current velocity.
|
int |
getSpeed()
Return the current target speed.
|
int |
getTachoCount()
Returns the tachometer count.
|
boolean |
isMoving()
This method returns true if the motor is attempting to rotate.
|
private boolean |
isRunning() |
boolean |
isStalled()
Return true if the motor is currently stalled.
|
void |
resetTachoCount()
Reset the tachometer associated with this motor.
|
void |
rotate(int angle)
Rotate by the requested number of degrees.
|
void |
rotate(int angle,
boolean immediateReturn)
Rotate by the request number of degrees.
|
void |
rotateTo(int limitAngle)
Rotate to the target angle.
|
void |
rotateTo(int limitAngle,
boolean immediateReturn)
causes motor to rotate to limitAngle;
if immediateReturn is true, method returns immediately and the motor stops by itself and getTachoCount should be within +- 2 degrees if the limit angle If any motor method is called before the limit is reached, the rotation is canceled. |
void |
setSpeed(int speed)
Sets desired motor speed , in degrees per second;
The maximum reliably sustainable velocity is 100 x battery voltage under
moderate load, such as a direct drive robot on the level.
|
void |
stop()
Causes motor to stop, pretty much
instantaneously.
|
boolean |
suspendRegulation()
Removes this motor from the motor regulation system.
|
connect, getIntegerAttribute, getStringAttribute, setIntegerAttribute, setStringAttribute
getElements, readFloat, readInteger, readString, writeInteger, writeString
releaseOnClose
protected float speed
protected int acceleration
private static final java.lang.String SYSTEM_CLASS_NAME
private static final java.lang.String SYSTEM_PORT_CLASS_NAME
private final java.lang.String MODE
private final java.lang.String SPEED_REGULATION
private final java.lang.String SPEED_REGULATION_ON
private final java.lang.String SPEED_REGULATION_OFF
private final java.lang.String POSITION
private final java.lang.String SPEED
private final java.lang.String DUTY_CYCLE
private final java.lang.String COMMAND
private final java.lang.String RUN_FOREVER
private final java.lang.String BRAKE
private final java.lang.String STOP
private final java.lang.String RESET
private final java.lang.String RUN_TO_REL_POS
private final java.lang.String RUN_TO_ABS_POS
private final java.lang.String STATE
private final java.lang.String STATE_RUNNING
private final java.lang.String STATE_STALLED
private int local_speed
private boolean regulationFlag
public BaseRegulatedMotor(java.lang.String motorPort, float moveP, float moveI, float moveD, float holdP, float holdI, float holdD, int offset, int maxSpeed)
public void close()
close
in interface java.io.Closeable
close
in interface java.lang.AutoCloseable
close
in interface RegulatedMotor
close
in class Device
public boolean suspendRegulation()
public int getTachoCount()
Encoder
getTachoCount
in interface Encoder
Encoder.getTachoCount()
public float getPosition()
public void forward()
BaseMotor
stop()
or flt()
is called.public void backward()
BaseMotor
stop()
or flt()
is called.public void flt()
public void stop()
public boolean isMoving()
isStalled()
;public void setSpeed(int speed)
setSpeed
in interface RegulatedMotor
speed
- value in degrees/secpublic void resetTachoCount()
resetTachoCount
in interface Encoder
private boolean isRunning()
public void rotate(int angle, boolean immediateReturn)
rotate
in interface RegulatedMotor
angle
- number of degrees to rotate relative to the current positionimmediateReturn
- if true do not wait for the move to complete
Rotate by the requested number of degrees. Wait for the move to complete.angle
- RegulatedMotor.rotate(int, boolean)
public void rotate(int angle)
rotate
in interface RegulatedMotor
angle
- public void rotateTo(int limitAngle, boolean immediateReturn)
RegulatedMotor
rotateTo
in interface RegulatedMotor
limitAngle
- to which the motor will rotate, and then stop (in degrees). Includes any positive or negative int, even values > 360.immediateReturn
- iff true, method returns immediately, thus allowing monitoring of sensors in the calling thread.public void rotateTo(int limitAngle)
rotateTo
in interface RegulatedMotor
limitAngle
- Angle to rotate to.public int getSpeed()
getSpeed
in interface RegulatedMotor
public boolean isStalled()
isStalled
in interface RegulatedMotor
public int getRotationSpeed()
getRotationSpeed
in interface Tachometer


EXOSIMS.Observatory package¶
Submodules¶
EXOSIMS.Observatory.ObservatoryL2Halo module¶
-
class
EXOSIMS.Observatory.ObservatoryL2Halo.
ObservatoryL2Halo
(equinox=60575.25, orbit_datapath=None, **specs)[source]¶ Bases:
EXOSIMS.Prototypes.Observatory.Observatory
Observatory at L2 implementation. The orbit method from the Observatory prototype is overloaded to implement a space telescope on a halo orbit about the Sun-Earth L2 point. This class
Orbit is stored in pickled dictionary on disk (generated by MATLAB code adapted from E. Kolemen (2008). Describes approx. 6 month halo which is then patched for the entire mission duration).
-
eclip2rot
(TL, sInd, currentTime)[source]¶ Rotates star position vectors from ecliptic to rotating frame in CRTBP
This method returns a star’s position vector in the rotating frame of the Circular Restricted Three Body Problem.
Parameters: - TL (TargetList module) – TargetList class object
- sInd (integer) – Integer index of the star of interest
- currentTime (astropy Time) – Current absolute mission time in MJD
Returns: Star position vector in rotating frame in units of AU
Return type: star_rot (astropy Quantity 1x3 array)
-
equationsOfMotion_CRTBP
(t, s)[source]¶ Equations of motion of the CRTBP
Equations of motion for the Circular Restricted Three Body Problem (CRTBP). First order form of the equations for integration, returns 3 velocities and 3 accelerations in (x,y,z) rotating frame. All parameters are normalized so that time = 2*pi sidereal year. Distances are normalized to 1AU. Coordinates are taken in a rotating frame centered at the center of mass of the two primary bodies
Parameters: - t (float) – Times in normalized units
- s (float nx6 array) – State vector consisting of stacked position and velocity vectors in normalized units
Returns: First derivative of the state vector consisting of stacked velocity and acceleration vectors in normalized units
Return type: ds (integer Quantity nx6 array)
-
haloPosition
(currentTime)[source]¶ Finds orbit positions of spacecraft in a halo orbit in rotating frame
This method returns the telescope L2 Halo orbit position vector in an ecliptic, rotating frame as dictated by the Circular Restricted Three Body-Problem. The origin of this frame is the centroid of the Sun and Earth-Moon system.
Parameters: currentTime (astropy Time array) – Current absolute mission time in MJD Returns: Observatory orbit positions vector in an ecliptic, rotating frame in units of AU Return type: r_halo (astropy Quantity nx3 array)
-
haloVelocity
(currentTime)[source]¶ Finds orbit velocity of spacecraft in a halo orbit in rotating frame
This method returns the telescope L2 Halo orbit velocity vector in an ecliptic, rotating frame as dictated by the Circular Restricted Three Body-Problem.
Parameters: currentTime (astropy Time array) – Current absolute mission time in MJD Returns: Observatory orbit velocity vector in an ecliptic, rotating frame in units of AU/year Return type: v_halo (astropy Quantity nx3 array)
-
integrate
(s0, t)[source]¶ Integrates motion in the CRTBP given initial conditions
This method returns a star’s position vector in the rotating frame of the Circular Restricted Three Body Problem.
Parameters: - s0 (integer 1x6 array) – Initial state vector consisting of stacked position and velocity vectors in normalized units
- t (integer) – Times in normalized units
Returns: State vector consisting of stacked position and velocity vectors in normalized units
Return type: s (integer nx6 array)
-
orbit
(currentTime, eclip=False)[source]¶ Finds observatory orbit positions vector in heliocentric equatorial (default) or ecliptic frame for current time (MJD).
This method returns the telescope L2 Halo orbit position vector.
Parameters: - currentTime (astropy Time array) – Current absolute mission time in MJD
- eclip (boolean) – Boolean used to switch to heliocentric ecliptic frame. Defaults to False, corresponding to heliocentric equatorial frame.
Returns: Observatory orbit positions vector in heliocentric equatorial (default) or ecliptic frame in units of AU
Return type: r_obs (astropy Quantity nx3 array)
Note: Use eclip=True to get ecliptic coordinates.
-
star_angularSep
(TL, N1, N2, tA, tB)[source]¶ Finds star angular separations relative to the halo orbit positions
This method returns the angular separation relative to the telescope on its halo orbit in the rotating frame of the CRTBP problem.
Parameters: - TL (TargetList module) – TargetList class object
- N1 (integer) – Integer index of the most recently observed star
- N2 (integer) – Integer index of the next star of interest
- tA (astropy Time) – Current absolute mission time in MJD
- tB (astropy Time array) – Time at which next star observation begins in MJD
Returns: Angular separation between two target stars
Return type: angle (integer)
-
EXOSIMS.Observatory.SotoStarshade module¶
-
class
EXOSIMS.Observatory.SotoStarshade.
SotoStarshade
(missionStart=60634.0, orbit_datapath=None, **specs)[source]¶ Bases:
EXOSIMS.Observatory.ObservatoryL2Halo.ObservatoryL2Halo
StarShade Observatory class This class is implemented at L2 and contains all variables, functions, and integrators to calculate occulter dynamics.
-
boundary_conditions
(rA, rB)[source]¶ Creates boundary conditions for solving a boundary value problem
This method returns the boundary conditions for the starshade transfer trajectory between the lines of sight of two different stars. Point A corresponds to the starshade alignment with star A; Point B, with star B.
Parameters: - rA (float 1x3 ndarray) – Starshade position vector aligned with current star of interest
- rB (float 1x3 ndarray) – Starshade position vector aligned with next star of interest
Returns: Star position vector in rotating frame in units of AU
Return type: BC (float 1x6 ndarray)
-
calculate_dV
(dt, TL, nA, N, tA)[source]¶ Finds the change in velocity needed to transfer to a new star line of sight
This method sums the total delta-V needed to transfer from one star line of sight to another. It determines the change in velocity to move from one station-keeping orbit to a transfer orbit at the current time, then from the transfer orbit to the next station-keeping orbit at currentTime + dt. Station-keeping orbits are modeled as discrete boundary value problems. This method can handle multiple indeces for the next target stars and calculates the dVs of each trajectory from the same starting star.
Parameters: - dt (float 1x1 ndarray) – Number of days corresponding to starshade slew time
- TL (float 1x3 ndarray) – TargetList class object
- nA (integer) – Integer index of the current star of interest
- N (integer) – Integer index of the next star(s) of interest
- tA (astropy Time array) – Current absolute mission time in MJD
Returns: State vectors in rotating frame in normalized units
Return type: dV (float nx6 ndarray)
-
calculate_slewTimes
(TL, old_sInd, sInds, currentTime)[source]¶ Finds slew times and separation angles between target stars
This method determines the slew times of an occulter spacecraft needed to transfer from one star’s line of sight to all others in a given target list.
Parameters: - TL (TargetList module) – TargetList class object
- old_sInd (integer) – Integer index of the most recently observed star
- sInds (integer) – Integer indeces of the star of interest
- currentTime (astropy Time) – Current absolute mission time in MJD
Returns: Integer indeces of the star of interest sd (astropy Quantity):
Angular separation between stars in rad
- slewTimes (astropy Quantity):
Time to transfer to new star line of sight in units of days
- dV (astropy Quantity):
Delta-V used to transfer to new star line of sight in units of m/s
Return type: sInds (integer)
-
log_occulterResults
(DRM, slewTimes, sInd, sd, dV)[source]¶ Updates the given DRM to include occulter values and results
Parameters: - DRM (dict) – Design Reference Mission, contains the results of one complete observation (detection and characterization)
- slewTimes (astropy Quantity) – Time to transfer to new star line of sight in units of days
- sInd (integer) – Integer index of the star of interest
- sd (astropy Quantity) – Angular separation between stars in rad
- dV (astropy Quantity) – Delta-V used to transfer to new star line of sight in units of m/s
Returns: Design Reference Mission, contains the results of one complete observation (detection and characterization)
Return type: DRM (dict)
-
minimize_fuelUsage
(TL, nA, nB, tA)[source]¶ Minimizes the fuel usage of a starshade transferring to a new star line of sight
This method uses scipy’s optimization module to minimize the fuel usage for a starshade transferring between one star’s line of sight to another’s. The total slew time for the transfer is bounded with some dt_min and dt_max.
Parameters: - TL (float 1x3 ndarray) – TargetList class object
- nA (integer) – Integer index of the current star of interest
- nB (integer) – Integer index of the next star of interest
- tA (astropy Time array) – Current absolute mission time in MJD
Returns: Optimal slew time in days for starshade transfer to a new line of sight opt_dV (float):
Optimal total change in velocity in m/s for starshade line of sight transfer
Return type: opt_slewTime (float)
-
minimize_slewTimes
(TL, nA, nB, tA)[source]¶ Minimizes the slew time for a starshade transferring to a new star line of sight
This method uses scipy’s optimization module to minimize the slew time for a starshade transferring between one star’s line of sight to another’s under the constraint that the total change in velocity cannot exceed more than a certain percentage of the total fuel on board the starshade.
Parameters: - TL (float 1x3 ndarray) – TargetList class object
- nA (integer) – Integer index of the current star of interest
- nB (integer) – Integer index of the next star of interest
- tA (astropy Time array) – Current absolute mission time in MJD
Returns: Optimal slew time in days for starshade transfer to a new line of sight opt_dV (float):
Optimal total change in velocity in m/s for starshade line of sight transfer
Return type: opt_slewTime (float)
-
send_it
(TL, nA, nB, tA, tB)[source]¶ Solves boundary value problem between starshade star alignments
This method solves the boundary value problem for starshade star alignments with two given stars at times tA and tB. It uses scipy’s solve_bvp method.
Parameters: - TL (float 1x3 ndarray) – TargetList class object
- nA (integer) – Integer index of the current star of interest
- nB (integer) – Integer index of the next star of interest
- tA (astropy Time array) – Current absolute mission time in MJD
- tB (astropy Time array) – Absolute mission time for next star alignment in MJD
Returns: State vectors in rotating frame in normalized units
Return type: s (float nx6 ndarray)
-
EXOSIMS.Observatory.WFIRSTObservatoryL2 module¶
-
class
EXOSIMS.Observatory.WFIRSTObservatoryL2.
WFIRSTObservatoryL2
(**specs)[source]¶ Bases:
EXOSIMS.Observatory.ObservatoryL2Halo.ObservatoryL2Halo
WFIRST Observatory at L2 implementation. Contains methods and parameters unique to the WFIRST mission.


Skills
For more information on skills view the documentation
The skills page controls the skills for a given game and global skills by selecting from a list of games or the global skills option
After selecting a platform the admin can:
- Create new skills
- Delete an existing skill
Create new skills
By selecting "Create New Skill" a new page will be opened including all the fields needed for a skill, skills can have multiple criterias added using the "Add Criteria" and "Remove Criteria" buttons at the bottom of the screen to control the number required.
Delete an existing skill
Delete button will delete the selected skill from the table


{% extends "malepy/default_base.html" %} {% block menu %}
This platform was built using the best from Python 3.5 programming language and Django Web framework. It's primarily focused on Python solutions to Machine Learning problems, but it can be easily modified to support scripts from other programming languages.
All user data are encrypted and well protected. Uploaded scripts are executed in sandboxes, preventing any harm to the server and user data. Teachers and Students can only be added to the platform by Administrator.
The platform is Open Source. It was built using Open Source libraries and the whole source code is available on GitHub. You can run an instance of malepy on your own servers.
Submitted scripts are analyzed for plagiarism. Platform uses Stanford's MOSS (Measure of Software Similarity) to analyze source codes and prevent cheating on the assignments.
malepy is an acronym derived from Machine Learning in Python. It was the most harmless name in the moment of its creation.
malepy was initially created for Machine Learning course in 8th semester of Undergraduate Academic Studies of Software Engineering and Information Technologies at Chair of Informatics, Faculty of Technical Sciences, University of Novi Sad. As noted above, it's open source, therefore it can be used freely, respecting the MIT license.
Not yet.
Yes, you can. Scroll down to the Contact section.


GCCalendarView
public final class GCCalendarView: UIView
The GCCalendarView class defines a view containing an interactive calendar.
-
The object that acts as the delegate of the calendar view.
Declaration
Swift
public var delegate: GCCalendarViewDelegate!
-
The display mode for the calendar view.
Declaration
Swift
public var displayMode: GCCalendarDisplayMode!
-
Initializes and returns a newly allocated calendar view object with the specified frame rectangle.
Declaration
Swift
public override init(frame: CGRect)
Parameters
frame
The frame rectangle for the calendar view, measured in points. The origin of the frame is relative to the superview in which you plan to add it. This method uses the frame rectangle to set the center and bounds properties accordingly.
Return Value
An initialized calendar view object.
-
Initializes and returns a newly allocated calendar view object.
Use this initializer if you are planning on using layout constraints. If you are using frame rectangles to layout your views, use
init(frame:)
instead.Declaration
Swift
public convenience init()
Return Value
An initialized calendar view object.
-
Tells the calendar view to select the current date, updating any visible week views or month views if necessary.
Declaration
Swift
public func today()


public class DoubleBag extends java.lang.Object implements java.io.Serializable, java.lang.Cloneable, Indexed
DoubleBag is approximately to double what Bag is to Object. However, for obvious reasons, DoubleBag is not a java.util.Collection subclass and is purposely simple (it doesn't have an Iterator for example).
DoubleBag is not synchronized, and so should not be accessed from different threads without locking on it or some appropriate lock double first. DoubleBag also has an unusual, fast method for removing doubles called remove(...), which removes the double simply by swapping the topmost double into its place. This means that after remove(...) is called, the DoubleBag may no longer have the same order (hence the reason it's called a "DoubleBag" rather than some variant on "Vector" or "Array" or "List"). You can guarantee order by calling removeNondestructively(...) instead if you wish, but this is O(n) in the worst case.
| Constructor and Description |
|---|
DoubleBag() |
DoubleBag(double[] other)
Creates a DoubleBag with the given elements.
|
DoubleBag(DoubleBag other)
Adds the doubles from the other DoubleBag without copying them.
|
DoubleBag(int capacity)
Creates a DoubleBag with a given initial capacity.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
add(double obj) |
boolean |
addAll(double[] other) |
boolean |
addAll(DoubleBag other) |
boolean |
addAll(int index,
double[] other) |
boolean |
addAll(int index,
DoubleBag other) |
void |
clear()
Removes all numbers in the DoubleBag.
|
java.lang.Object |
clone() |
java.lang.Class |
componentType()
Should return the base component type for this Indexed object, or
null if the component type should be queried via getValue(index).getClass.getComponentType()
|
boolean |
contains(double o) |
void |
copyIntoArray(int fromStart,
double[] to,
int toStart,
int len)
Copies 'len' elements from the Bag into the provided array.
|
void |
fill(double o)
Replaces all elements in the bag with the provided object.
|
double |
get(int index) |
java.lang.Object |
getValue(int index)
Throws an IndexOutOfBoundsException if index is inappropriate.
|
boolean |
isEmpty() |
double |
pop()
Returns 0 if the DoubleBag is empty, else removes and returns the topmost double.
|
boolean |
push(double obj)
Synonym for add(obj) -- try to use add instead unless you
want to think of the DoubleBag as a stack.
|
double |
remove(int index)
Removes the double at the given index, moving the topmost double into its position.
|
double |
removeNondestructively(int index)
Removes the double at the given index, shifting the other doubles down.
|
void |
resize(int toAtLeast) |
void |
reverse()
Reverses order of the elements in the DoubleBag
|
double |
set(int index,
double element) |
java.lang.Object |
setValue(int index,
java.lang.Object value)
Throws an IndexOutOfBoundsException if index is inappropriate, and IllegalArgumentException
if the value is inappropriate.
|
void |
shrink(int desiredLength)
Resizes the objs array to max(numObjs, desiredLength), unless that value is greater than or equal to objs.length,
in which case no resizing is done (this operation only shrinks -- use resize() instead).
|
void |
shuffle(MersenneTwisterFast random)
Shuffles (randomizes the order of) the DoubleBag
|
void |
shuffle(java.util.Random random)
Shuffles (randomizes the order of) the DoubleBag
|
int |
size() |
void |
sort()
Sorts the doubles into ascending numerical order.
|
double[] |
toArray() |
java.lang.Double[] |
toDoubleArray() |
double |
top()
Returns 0 if the DoubleBag is empty, else returns the topmost double.
|
public DoubleBag(int capacity)
public DoubleBag()
public DoubleBag(DoubleBag other)
public DoubleBag(double[] other)
public boolean isEmpty()
public boolean addAll(double[] other)
public boolean addAll(int index, double[] other)
public boolean addAll(DoubleBag other)
public boolean addAll(int index, DoubleBag other)
public java.lang.Object clone() throws java.lang.CloneNotSupportedException
clone
in class java.lang.Object
java.lang.CloneNotSupportedException
public void resize(int toAtLeast)
public void shrink(int desiredLength)
public double top()
public double pop()
public boolean push(double obj)
public boolean add(double obj)
public boolean contains(double o)
public double get(int index)
public java.lang.Object getValue(int index)
Indexed
public double set(int index, double element)
public java.lang.Object setValue(int index, java.lang.Object value)
Indexed
public double removeNondestructively(int index)
public double remove(int index)
public void sort()
public void fill(double o)
public void shuffle(java.util.Random random)
public void shuffle(MersenneTwisterFast random)
public void reverse()
public void clear()
public void copyIntoArray(int fromStart, double[] to, int toStart, int len)
public double[] toArray()
public java.lang.Double[] toDoubleArray()
public java.lang.Class componentType()
Indexed
componentType
in interface Indexed


LAT
Field
LEGS
Field
LOCATION
Field
LON
Field
LatLon
Models
lat
LatLon
latLon
DirectionsParser
latLon2elev
ElevationParser
latLonElevMap
ElevationParser
lon
LatLon


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Control iTunes with Alfred Remote
The iTunes actions in Remote allow you to control iTunes on your Mac; Play/pause, skip tracks, control the volume, rate your tracks or start a random album!
How can I control iTunes with Remote?
Controlling iTunes from Remote is easy. Once you've linked your Remote to your Mac, tap any of the iTunes action buttons on your Remote to perform this action on your Mac.
Using iTunes Controls with Remote
You can set up Alfred Remote with a set of actions to control iTunes on your Mac.
The easiest way to get started is to launch Alfred's preferences to the Remote tab on your Mac and click the + at the bottom of the pages sidebar. Choose Examples > iTunes Control to add a pre-set page of actions.
The actions available are:
- Play/Pause
- Next track
- Back Track
- Previous track
- Random album
- Maximum volume
- Volume up
- Volume down
- Mute
- Ratings from 1 to 5 stars
- Clear rating for current tracks
Want to create your own actions? Take a look at Workflow triggers.
Setting up iTunes actions
Alternatively, if you would prefer to set up your own page, choose Blank Page and add your own actions to make a panel of iTunes controls organised how you like them best!


[Erowid Warning: Our understanding of the literature is that there is no such thing as safe use of volatile solvents, aerosols and other street inhalants : their psychoactive effects are inseparable from nerve and organ damage. We have chosen to include these reports to help document the real world use of inhalants, but their inclusion is not intended to imply that they are anything but dangerous.]
This is something I will never forget, and I must say the darkest point in my life.
It all started when a friend showed me while we were smoking up in his basement how to huff gas. Later on that night when I was home, my parents left and I took it into my living room and began huffing more. Next thing I knew I was sitting there laughing at absolutely nothing. Later on I began doing it more.
Most of my experiences are very difficult to explain.
At first I was doing it very little. I would have conscious dreams of myself as a warm liquid spinning like a hurricane. Feeling like I was sinking into the floor. Than waking up out of it and being astonished by what had just happened. It felt amazing. Most of them were very similar, and picked up where it had left off from my previous experiences.
Then, it seemed as though I was becoming immune to it. I was no longer having these dream like states. I was having hallucinations but it did not bring me to a different place. I was beginning to just have hallucinations of people around me, these people non existent people who would soon become my worst enemy, but my best friends.
When I would huff I would leave my garage door leading into the house open and turn on CNN news. I would listen to it, and started believe that they were talking about me, watching me from satellite and having people to come help me, council me.
I began thinking I was seeing a man on my left who I could only see in the corner of my eye ( which was a golf bag ) and a women on my right in my peripheral vision making hand gestures. I would hear there voices and understand them, but would try and mimic it to see what it was and could not. The words made no sense but I understood it. I would think something, but hear it. Then they would reply to it. I would say something and it felt like it echoed throughout my whole entire house. But merrily a whisper.
I began doing more and more to try and get back to my dream like states that I had when I first began. Next thing I knew I was becoming extremely nauseous, and would spend hours trying to puke up absolutely nothing. My face was beginning sweat doing it, and when I would go to vomit, my legs were beginning to shake. This never stopped me.
I began blaming the ' people ' around me for it. One afternoon I remember breaking down pleading with them to show me strait forward who they were.  And breaking down crying asking them to stop 'fucking' with my head.
Realizing the larger gas can beside me full of gas I switched the nozzle I had been using to it. It was just as intense as when I started. I later began to suspect that I had sucked the other gas can dry and that is why I was not getting the affect as I was before when I started. I was back to my dream like states, and they were right where I left off. Sorry to say, it is a story but it is extremely hard to explain. I remember the images but cannot come up with the words in my head to explain them.
Then it started becoming more difficult to get the dream like states. My hallucinations started becoming violent. There was a man yelling things at me. calling me useless with a pistol in my face. All the sudden I saw his hand move to pull the trigger, and right when it 'went off' I heard my father yell my name and I snapped out of it. That really impacted me, and still spooks me.
The most violet hallucination I had was there were 8 children. The girls were wearing dresses and the boys were wearing suits. They had happy parents. It was all happy and all the sudden everything turned red and they were being suffocated with bags over their heads. Than after I snapped out I found myself crying and then the guy (who I later came up with Dr. Roberto) gave me those images to make me stop huffing. And it took me a few days to get over it. I did not stop though.
The violent hallucinations stopped. I started huffing more because it was taking more to get me satisfied. I began feeling as though I was elevating into my attic and the DR was pounding on the ceiling telling me to come down. I remember thinking that this was why people said it was bad. Because it gave me magic abilities.
In the middle of my elevation my mom stepped out. She told me that I looked at her for a few seconds, said nothing, and began huffing again. Finally I heard her ask me ' are you huffing gas!' and she ran me to the hospital. I was there for 6 hours because they were checking to make sure I was going to live. I was fine, but they did bloodwork on me and all kinds of stuff.
This was not the end.
I began doing it again, only real late at night. I remember I started at around 11 pm and walked in to see the time and it was 1 am. I was amazed. I would sit there, and have my typical hallucinations of all these people who I began to know very well.

I remember seeing a stick with a heart on it, and it was beating very, very fast. And I was hearing it and also an alarm. And then in blue I saw ' heart attack ' flashing red and blue lights. I had a huge pain shove up my spine and remembered seeing my spine grind and electricity shooting up through it.
This was very painful. I then stopped for the night. Went up in my room and cried.
The next night I did it again. Only this time, it was more intense and louder. I felt my right hand pulsing and thought I saw a blue vain bulging out of my hand and pumping blood. I ran inside of my house and prayed to god out loud for a few seconds to let me live and if I were to die to take me to heaven. I tasted death that night. After those split seconds of my plead to God for my life, I ran upstairs to say goodbye to my parents.  She was like what? And I yelled ' Canít you see it?' *the blue vain pulsing*
She turned on the light and tried to look for what I was talking about and then said these words. ' Were you huffing gas again? '
Now this is kind of amusing thinking about it. How silly I probably looked but it was the most terrifying experience in my life.
Since then I have tried it again, but still get the sensation of having a heart attack. I feel the pulsations in my hand and my heart races.
My 'friends' are now all gone. Everytime I step into my garage at night especially, and turn on the same old dim light, it brings me back and I get chills.
When I huffed gas I lost my mind. I lost all grips of my reality and started believing that my hallucinations were real. I was communication with people that did not exist and began to know them and grow to them emotionally.
I do not believe it affected me long term, I was only insane when I was huffing gas. What was even worse I was so used to doing it that I would think I was sober doing it, but still seeing things around me that werenít real. That made me believe it even more. I knew it wasnít real, but there is something about it that I never forget and almost does become real. It was my second reality. I risked my life for it many times.
I showed one of my close friends how to do it, and it was a very small gas can. The nozzle was as big as my pinky. I tried it but did not get any affect and she did it.  She was stiff as a rock. I began yelling at her and slapped her as hard as a I could in the face. Finally I gave her a real good slap and she snapped out of it and than explained to me her dream. This scared me to death and I will never encourage somebody to do it again. I have friends who have tried it but obviously not to the extent that I have done it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Ubiquitous out-of-the-box, scalable; communities disintermediate beta-test, enable utilize markets dynamic infomediaries virtual data-driven synergistic aggregate infrastructures, "cross-platform, feeds bleeding-edge tagclouds." Platforms extend interactive B2C benchmark proactive, embrace e-markets, transition generate peer-to-peer. Capitalise on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
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video:
audio:
subtitles:
set tracks
set position
Playback info:
back to all tests
reset
play
pause
unpause
stop
seek to start
vol 0%
vol 50%
vol 100%
mute
unmute
State:
Last System Event:


--- layout: page title: "About" description: " 关于 " header-img: "img/water.jpg" multilingual: false ---


Click here to download the Release 6.1.2 Upgrade for NT.
| ReadMe.txt | Installation instructions (this document). |
| NT.6.1.2.exe | A self-extracting zip file that will upgrade the vision executables. This will prompt you to enter the root location of your existing vision directory. The default provided is "C:\". |
| visionUpgrade_1.5_to_1.6.cmd | A Windows NT command script that will install the updated database support files and create a new Object Space to your network. |
| CHcore.6.1.2 | Incorporates new primitives. This file is read by the visionUpgrade_1.5_to_1.6.cmd script. |
| CHdbs.6.1.2 | Miscellaneous changes to the bulk database driver. This file is read by the visionUpgrade_1.5_to_1.6.cmd script. |
| rollbackNetwork.cmd | A Windows NT command script that has been updated to work with the PMA 1.6 release. This file is read by the visionUpgrade_1.5_to_1.6.cmd script. |
These installation procedures have been automated for PMA installations. Non-PMA installations can review the release contents for applicability to their environment.
%LocalVisionRoot%logs/visionUpgrade_1.5_to_1.6.log.
| Copyright © 1999 Innovative Systems Techniques, Inc. | Updated March 26, 1999 |


I find myself in a treehouse.
I need to find a way out.
Who are that little girl and elderly man?
How and why did I end up here?
“Treehouse Riddle” is an adventure game where you unfold its story by solving riddles and puzzles.
A girl wakes up to find out that she’s trapped in a room of a treehouse.
She explores all the rooms drawn in beautiful pixel art and solves riddles and puzzles to escape the house.
Just like the house itself, the 30+ riddles and puzzles are made of wood.
Take your time and use all of your knowledge to solve them.
Every riddle and puzzle gives you hints and can be skipped.
You don’t need to worry about getting stuck.


Use mouse wheel / slide to switch images.
To get more details about the images, please read README.md.


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