Device¶
acDeviceStartStream¶
-
AC_ERROR AC_API acDeviceStartStream(acDevice hDevice)
acDeviceStartStream causes the device to begin streaming image/chunk data (acBuffer). It must be called before image or chunk data buffers are retrieved (acDeviceGetBuffer). The stream must be stopped (acDeviceStopStream) when no longer needed.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
- See
- acBuffer
- acDeviceGetBuffer
- acDeviceStopStream
acDeviceStartStreamNumBuffersAndFlags¶
-
AC_ERROR AC_API acDeviceStartStreamNumBuffersAndFlags(acDevice hDevice, size_t numBuffers)
acDeviceStartStreamNumBuffersAndFlags causes the device to begin streaming image/chunk data (acBuffer) with given numBuffers and a streaming standard. It must be called before image or chunk data buffers are retrieved (acDeviceGetBuffer). The stream must be stopped (acDeviceStopStream) when no longer needed.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
numBuffers
:- Type: size_t
- [In] parameter
- Number of internal buffers to use in the acquisition engine
- See
- acBuffer
- acDeviceGetBuffer
- acDeviceStopStream
acDeviceStopStream¶
-
AC_ERROR AC_API acDeviceStopStream(acDevice hDevice)
acDeviceStopStream stops the device from streaming image/chunk data (acBuffer) and cleans up the stream. The stream must be stopped when streaming is no longer needed.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
- See
- acBuffer
acDeviceGetBuffer¶
-
AC_ERROR AC_API acDeviceGetBuffer(acDevice hDevice, uint64_t timeout, acBuffer * phBuffer)
acDeviceGetBuffer retrieves a buffer (acBuffer) from the device. It must be called after the stream has started (acDeviceStartStream) and before the stream has stopped (acDeviceStopStream). Retrieved buffers must be requeued (acDeviceRequeueBuffer).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
timeout
:- Type: uint64_t
- [In] parameter
- Maximum time to wait for a buffer
phBuffer
:- Type: acBuffer*
- [Out] parameter
- Next buffer in the output queue
- See
- acBuffer
- acDeviceStartStream
- acDeviceStopStream
- acDeviceRequeueBuffer
acDeviceRequeueBuffer¶
-
AC_ERROR AC_API acDeviceRequeueBuffer(acDevice hDevice, acBuffer pBuffer)
acDeviceRequeueBuffer relinquishes control of a buffer (acBuffer) back to Arena. It must be called after a buffer has been retrieved (acDeviceGetBuffer).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
pBuffer
:- Type: acBuffer
- In parameter
- Buffer to requeue
- See
- acBuffer
- acDeviceGetBuffer
acDeviceInitializeEvents¶
-
AC_ERROR AC_API acDeviceInitializeEvents(acDevice hDevice)
acDeviceInitializeEvents causes the underlying events engine to start listening for events. It must be called before waiting on events (acDeviceWaitOnEvent). The event infrastructure must be turned off (acDeviceDeinitializeEvents) when no longer needed.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
- See
- acDeviceWaitOnEvent
- acDeviceDeinitializeEvents
acDeviceDeinitializeEvents¶
-
AC_ERROR AC_API acDeviceDeinitializeEvents(acDevice hDevice)
DeinitializeEvents stops the underlying events engine from listening for messages, shutting it down and cleaning it up. It should be called only after the events infrastructure has been initialized (acDeviceInitializeEvents) and after all events have been processed (acDeviceWaitOnEvent).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
- See
- acDeviceInitializeEvents
- acDeviceWaitOnEvent
acDeviceWaitOnEvent¶
-
AC_ERROR AC_API acDeviceWaitOnEvent(acDevice hDevice, int64_t timeout)
WaitOnEvent waits for an event to occur in order to process its data. It must be called after the event infrastructure has been initialized (acDeviceInitializeEvents) and before it is deinitialized (acDeviceDeinitializeEvents). This will also trigger callbacks registered to event nodes.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
timeout
:- Type: uint64_t
- [In] parameter
- Maximum time to wait for an event
- See
- acDeviceInitializeEvents
- acDeviceDeinitializeEvents
acDeviceGetNodeMap¶
-
AC_ERROR AC_API acDeviceGetNodeMap(acDevice hDevice, acNodeMap * phNodeMap)
acDeviceGetNodeMap retrieves the already initialized main node map (acNodeMap), used to access a device’s complete feature set of nodes (acNode).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phNodeMap
:- Type: acNodeMap*
- [Out] parameter
- Main node map for the device
- See
- acNodeMap
- acNode
acDeviceGetTLDeviceNodeMap¶
-
AC_ERROR AC_API acDeviceGetTLDeviceNodeMap(acDevice hDevice, acNodeMap * phNodeMap)
acDeviceGetTLDeviceNodeMap retrieves the already initialized GenTL device node map (acNodeMap), used to access a subset of cached device related nodes (acNode).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phNodeMap
:- Type: acNodeMap*
- [Out] parameter
- GenTL node map for the device
- See
- acNodeMap
- acNode
acDeviceGetTLStreamNodeMap¶
-
AC_ERROR AC_API acDeviceGetTLStreamNodeMap(acDevice hDevice, acNodeMap * phNodeMap)
acDeviceGetTLStreamNodeMap retrieves the already initialized GenTL stream node map (acNodeMap), used to access stream related nodes (acNode).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phNodeMap
:- Type: acNodeMap*
- [Out] parameter
- GenTL node map for the stream
- See
- acNodeMap
- acNode
acDeviceGetTLInterfaceNodeMap¶
-
AC_ERROR AC_API acDeviceGetTLInterfaceNodeMap(acDevice hDevice, acNodeMap * phNodeMap)
acDeviceGetTLInterfaceNodeMap retrieves the already initialized GenTL interface node map (acNodeMap), used to access interface related nodes (acNode).
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phNodeMap
:- Type: acNodeMap*
- [Out] parameter
- GenTL node map for the interface
- See
- acNodeMap
- acNode
acDeviceRegisterImageCallback¶
-
AC_ERROR AC_API acDeviceRegisterImageCallback(acDevice hDevice, acCallback * phCallback, acImageCallbackFunction callbackFn, void * pParam)
acDeviceRegisterImageCallback registers the specified image callback function for the device. The optional user-specified data will be passed to the image callback function.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phCallback
:- Type: acCallback*
- [Out] parameter
- Handle to registered acCallback
callbackFn
:- Type: acImageCallbackFunction
- [In] parameter
- The image callback function to register
pParam
:- Type: void*
- [In] parameter
- Pointer to optional user-specified callback data
- See
- acDeviceDeregisterImageCallback
acDeviceDeregisterImageCallback¶
-
AC_ERROR AC_API acDeviceDeregisterImageCallback(acDevice hDevice, acCallback * phCallback)
acDeviceDeregisterImageCallback deregisters the specified image callback for the device.
- Return
- Type: AC_ERROR
- Error code for the function
- Returns AC_ERR_SUCCESS (0) on success
- Parameters
hDevice
:- Type: acDevice
- [In] parameter
- A device
phCallback
:- Type: acCallback*
- [In] parameter
- Handle to registered acCallback
- See
- acDeviceRegisterImageCallback


--- layout: game title: Tiny World tags: LD23, 48hrs source: http://github.com/andreasmcdermott/tiny-world windows: http://www.andreasmcdermott.com/assets/tinyworld.zip ludumdare: http://www.ludumdare.com/compo/ludum-dare-23/?action=preview&uid=11705 ---
This game was developed during 48 hours for the 23rd Ludum Dare game competition. It is a shooter where the player has to switch between controlling a tower and a hot air balloon to protect the tiny city being pulled by the turtle.
This was my first entry in Ludum Dare since my university days and I'm overall happy with my entry.
It was my first time using Lua and Löve2D and I really enjoyed working with both the engine and the language.
I also chose to use a component based game design instead of the more traditional structure using inheritance.
This means that instead of creating game objects as hierarchical structures like:
"Entity -> Enemy -> Zombie" (where the arrows symbolize inheritance) the game objects are composed of smaller
components that together define the final entity. Examples of components that I used in the game are:
All code and content is created by me using the following:


Just pushed the first gem I've written myself AND gotten actual utility from! http://rubygems.org/gems/hometown
6/2/2014, 10:39:08 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Just pushed the first gem I've written myself AND gotten actual utility from! http://rubygems.org/gems/hometown
6/2/2014, 10:39:08 PM
Favs: 0
Retweets: 0
link


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SEATTLE, Washington (WA) Political Contributions by Individuals ...
Jordan Gross (Yarmuth Wilsdon Calfo Pllc/Attorney), (Zip code: 98103) $250 to . Owen Richards (Owen Richards Architects/Architect), (Zip code: 98144) $250 .
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Find Projects Using SunGuard Advanced Architectural Glass ...
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SEATTLE, Washington (WA) Political Contributions by Individuals ...
Jordan Gross (Yarmuth Wilsdon Calfo Pllc/Attorney), (Zip code: 98103) $250 to . Owen Richards (Owen Richards Architects/Architect), (Zip code: 98144) $250 .
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ASLA 2007 Professional Awards
American Society of Landscape Architects · ASLA 2007 Professional Awards . Architectural Site Representation: Owens Richards Architects, pllc, Seattle, WA .
http://www.asla.org/awards/2007/07winners/267_wmct.html
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RADER, FISHMAN & GRAUER PLLC - Top Rated Lawyers
Mar 27, 2012 . RADER, FISHMAN & GRAUER PLLC. RFG Litigation . Architectural, Engineering and Construction Defect Litigation. Asbestos and Mass . Holme Roberts & Owen. Homan & Stone . Richards, Layton & Finger. Richman .
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Joel Egan | LinkedIn
Honors and Awards: The99kHouse.com with Owen Richards Architects . Cooper, MArch, MS, LEED AP Partner at The Architects Office PLLC; Phil Jacobson -- .
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Part 13 - City-Data.com
Owen Sharp (Seattle Repertory Theatre/Head Carp), (Zip code: 98107) $500 to . Owen Richards (Owen Richards Architects/Architect), (Zip code: 98144) . Jeremy Roller (Yarmuth Wilsdon Calfo Pllc/Lawyer), (Zip code: 98105) $250 to .
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Sharil Richards | LinkedIn
View Sharil Richards's professional profile on LinkedIn. LinkedIn is the world's largest . Sharil "Pat" Richards. Project Architect Martinez + Johnson Architects, PLLC . Controller at Coastal Properties; Alicia (Lisa) Owens Student at Arkansas .
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Architects Directory - ArchitectureWeek
Bastian and Harris Architects, PLLC - Charleston, WV, USA Bastien and . Park, NY, USA Beeler Guest Owens Architects LP (BGO Architects LP) - Dallas, TX, USA . Bradfield, Richards and Associates Architects, Inc. - Atlanta, GA, USA .
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Weiss/Manfredi: Seattle Art Museum: Olympic Sculpture Park
Retail: Doyle + Associates Architectural Site Representation: Owens Richards Architects, pllc. Seattle Art1 Ramp Cropped2. Seattle Art2 Exterior Dusk Cropped1 .
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Jan 10, 2011 . The Seattle International Film Festival is getting a brand new film center, designed by the folks over at Owen Richards Architects (who are also .
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Project Management: Barrientos LLC, Seattle, WA. Architectural Site Representation: Owens Richards Architects, pllc, Seattle, WA. Photographers: Paul Warchol .
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Current: Principal at Owen Richards Architects; Past: Architect for Chihuly Garden and Glass, SIFF Film Center, Dion Vivarium, Flying Heritage Collection at .
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Vendors list - Fayette County Public Schools
Aug 3, 2012 . ARCHITECTURAL PRODUCTS CO. 15,900.00 . INSIDE OUT ARCHITECTS PLLC. 80,302.50 . OWENS AUTO AND TRUCK PARTS .
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A.T. Architects PLLC A.W.I. Security & Investigation Inc. A+ HomeTutoring AB . P.E., P.C. L. Richards Plumbing & Heating Inc L.A. Forbes Communications, Inc. . (Nancy L. Chen) Nancy Owens Studio LLC Nandinee Phookan Architect, .
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CHAIR'S ROUND TABLE 2011 - YMCA of Greater Seattle
Mark Owen . Foster Pepper PLLC . Bob & Marilyn Richards . PLLC. John Laks . Jon & Patricia Mastrude. Conn & Virginia O'Neil . David Kehle, Architect .
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| Methods' Details |
writeln
| void |
| writeln( |
[in] string |
Text ); |
- Description
- output method.
|
|
| getDroenk
|
getIntroTest
- Description
- gets another object with this interface.
|
|
getUps
| long |
| getUps( |
[in] long |
l ); |
- Description
- !!! No property, because parameter exists
|
|
setDroenk
| void |
| setDroenk( |
[in] long |
l ); |
- Description
- ...
|
|
| getBla
|
setBla
| void |
| setBla( |
[in] long |
n ); |
- Description
- !!! Not the set method for property Bla, because param type != return type.
|
|
| getBlub
|
setBlub
| void |
| setBlub( |
[in] short |
n ); |
- Description
- ...
|
|
| getGulp
|
setGulp
| short |
| setGulp( |
[in] short |
n ); |
- Description
- !!! Not the set method for property Gulp, because return type != void.
|
|
getTypeClass
| ::com::sun::star::uno::TypeClass |
| getTypeClass( |
[in] short |
n ); |
- Description
- ...
|
|
setTypeClass
| void |
| setTypeClass( |
[in] ::com::sun::star::uno::TypeClass |
t, |
| [in] double |
d1, |
| [in] double |
d2 ); |
- Description
- ...
|
|
getStrings
| sequence< string > |
| getStrings(); |
|
|
setStrings
| void |
| setStrings( |
[in] sequence< string > |
Strings ); |
- Description
- ...
|
|
setStringsPerMethod
| void |
| setStringsPerMethod( |
[in] sequence< string > |
Strings, |
| [in] short |
n ); |
- Description
- ...
|
|
getMultiSequence
| sequence< sequence< sequence< short > > > |
| getMultiSequence(); |
|
|
setMultiSequence
| void |
| setMultiSequence( |
[in] sequence< sequence< sequence< short > > > |
Seq ); |
- Description
- ...
|
|
addPropertiesChangeListener
- Description
- adds a listener which is called, when one of the specified properties
changes its value.
It is suggested to allow multiple registration of the same listener,
thus for each time a listener is added, it has to be removed.
|
|
removePropertiesChangeListener
- Description
- removes a listener.
It is suggested to allow multiple registration of the same listener,
thus for each time a listener is added, it has to be removed.
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


|
4. |
What does Gary Gorton mean, when he claims that the propagation of the financial crisis from 2007-2008 was due to a run on the repo?
| Points = 2.0 |
|
| |
| Repo Bank was the largest bank in Europe and it become insolvent because of a bank run.
|
|
| |
| Repos is the nickname for so-called shadow banks, which are small commercial banks in the U.S. During the financial crisis, many of these small commercial banks had to be rescued by the Federal Deposit Insurance Corporation (FDIC).
|
|
| |
| Repos, which is short for repurchase agreements, are credit default swaps that protect against losses of Lehman Brothers. After Lehman's collapse on September 15, 2008, there was a run on these contracts.
|
|
| |
| Repos, which is short for repurchase agreements, are short-term loans between institutional investors that in principle share many similarities with deposits at commercial banks. A loss of confidence in this market led to a run in this market, leading to a withdrawal of funding, which shares qualitative characteristics with a bank run on a commercial bank.
|


{% extends "otree/Page.html" %} {% load otree %} {% block title %}Hello! Please read this before clicking "Accept"{% endblock %} {% block content %}
This HIT is an academic experiment on text classification.
You will be completing a classification task to determine the relationships between a food item and a drug compound. A pair of food item and drug compounds will be presented to you, along with a sentence taken from medical literature that provides information about how the pair is related.
You will classify the relationship as one of three categories:
| Interaction | Food item | Drug compound | Sentence |
|---|---|---|---|
| Negative | unsaturated fatty acids | isoniazid | Both long- and short-term exposure experiments showed that isoniazid inhibited the synthesis of saturated fatty acids greater than C26 and of unsaturated fatty acids greater than C24. |
| Neutral | vitamin D3 | digoxin | The median for digoxin T(max) was 0.75 h before and after vitamin D3 ingestion. |
| Positive | curcumin | GLP-1 | Our previous studies demonstrated that curcumin (a yellow pigment of turmeric) significantly increases the secretion of GLP-1 in enteroendocrine L cell line (GLUTag cells). |
Please drag the slider to the position along the axis that indicates your selection. To the left for "negative", to the right for "positive", and centered for "neutral".
Your selection will be described below the slider, and you should indicate that you are more confident of an answer by moving the slider further to the extremes (i.e. if you think an example pairing is very likely to be positive, you should move the slider to the far right).
You will have exactly 60 seconds to make your selection.
Each question will be considered a "round" where you will see a countdown timer. You must submit your answer before the timer expires. If you finish early, you will need to wait until the timer counts down to 0 before proceeding to the next round, so there is no payout advantage to speed of completion.
Correct answers will earn you a bonus on top of the base rate, so you should ensure that you read each question carefully.
It is important that you click on the "Next" button before the timer expires in order to submit your answer. If you do not click "Next" your answer will not be recorded.
There will be [3] total rounds. You must complete all three to receive compensation.
You may be required to interact with other participants in real time. Please only accept this HIT if you can commit to completing it. The estimated time for completion includes the maximum time allocated for all rounds.
After completing this HIT, you will receive your reward plus a bonus payment that is based on your performance in the experiment.
I understand the instructions and am ready to proceed.
{% endblock %}


Never be ashamed to show your faces for Creativity!  WHILE THEIR ARE OTHER WHITE RACIAL LOYALIST WHO ARE RISKING THEIR LIVES AND LIBERTY TO SAVE OUR RACE THROUGH THIER ACTIVISM ON THE STREETS! WHILE, OTHERS TRY TO HIDE BEHIND SOME KIND OF PARANOID EXCUSE NOT TO GET INVOLVED!!!
TT says: I disagree. Many people are losing jobs in fact about 120 million a month now. Many young men and women are in the military also. I suggest not taking group pictures like this at all. The country is on the verge of a police state. Now is not the time play into the enemies hands.
--- On Tue, 10/20/09, Michael Cook<EMAIL_ADDRESS>wrote:
Michael Cook<EMAIL_ADDRESS>Subject: Never be ashamed to show your faces for Creativity! From: To<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>Date: Tuesday, October 20, 2009, 7:06 PM
|
|


# Nock - Get Route Testing
```
test.cb('check artist id route', t => {
const artistObj = {
name: 'Izal',
type: 'artist'
}
let scope = nock('https://api.spotify.com')
.get('/v1/artists/2hazSY4Ef3aB9ATXW7F5w3')
.reply(200, artistObj)
request(app)
.get('/api/v1/spotify/artists/2hazSY4Ef3aB9ATXW7F5w3')
.expect(200)
.then((res) => {
scope.done()
t.is(res.body.name, 'Izal')
t.is(res.body.type, 'artist')
t.end()
})
})
```
When mocking a get route with Nock we first set up the mock route that is to be hit instead, configuring the get route and its response.
Once this is done we can attempt to hit our own get route. What we are testing in this case is that the get route API works correctly and hits the external API that we are trying to retrieve from.
The reason for this is that we will be running our tests often, and we do not want to actually hit the external API multiple times an hour.
### Example Code - Commented:
```
test.cb('check artist id route', t => {
const artistObj = {
name: 'Izal',
type: 'artist'
}
// We create a fake response object called artistObj that our mock server is going to reply with.
let scope = nock('https://api.spotify.com')
.get('/v1/artists/2hazSY4Ef3aB9ATXW7F5w3')
.reply(200, artistObj)
// These three lines set up our mocked external API. This means that when our test function tries to hit api.spotify.com at the specified get route
// Nock will intercept it and reply with the status code 200 and artistObj.
request(app)
.get('/api/v1/spotify/artists/2hazSY4Ef3aB9ATXW7F5w3')
.expect(200)
.then((res) => {
scope.done()
t.is(res.body.name, 'Izal')
t.is(res.body.type, 'artist')
t.end()
})
// From here we can just initiate a normal get request via superagent and Nock will intercept and respond as we set it to.
})
Post route testing with Nock is almost identical to Get route testing, as you can see below.
```
# Nock - Post Route Testing
```
test.cb('check createPlaylist post route', t => {
let scope = nock('https://api.spotify.com')
.post(`/v1/users/some_username/playlists`)
.reply(201, {test: "73a"})
let token = createToken({id: "some_username"}, app.get('JWT_SECRET'))
request(app)
.post('/api/v1/spotify/users/playlist')
.set('Cookie', `token=${token}`)
.then((result) => {
scope.done()
t.is(result.body.test, "73a")
t.end()
})
})
```
When mocking a post route with Nock we first set up the mock route that is to be hit instead, configuring the post route and its response.
Once this is done we can attempt to hit our own post route API. What we are testing in this case is that the post route API works correctly and hits the external API that we are posting to.
### Example Code - Commented:
```
test.cb('check createPlaylist post route', t => {
let scope = nock('https://api.spotify.com')
.post(`/v1/users/some_username/playlists`)
.reply(201, {test: "73a"})
// These three lines set up our mocked external API. This means that when our test function tries to hit api.spotify.com at the specified post route
// Nock will intercept it and reply with the status code and response object that we tell it to on the line above.
let token = createToken({id: "some_username"}, app.get('JWT_SECRET'))
// Because we are dealing with an authenticated route, this line will take care of creating an authentication token for us
// You can ignore this line and the .set below if you are working with a non-authenticated external API, but most external APIs will want auth.
// From now on we just test as we normally would with Supertest, save for the scope.done() which will hang if the API request does not complete.
request(app)
.post('/api/v1/spotify/users/playlist')
.set('Cookie', `token=${token}`)
.then((result) => {
scope.done()
t.is(result.body.test, "73a")
t.end()
})
})
```
# Enzyme - Mount Testing
```
const page=
test('search bar renders', t => {
const wrapperMount = mount(page)
t.is(wrapperMount.find('.search-bar').exists(), true)
})
```
First we wrap the component we want to test in the Provider so that we can give it access to the store.
Then we set up a const of the mounted (the component and its children) component and use ava assertion to check if it exists.
A more complicated Enzyme test using Sinon to simulate a change in value and then a click is shown below:
### Example Code - Commented:
```
test('search bar search button renders search results', t => {
sinon.stub(store,"dispatch")
// sinon will create a stub to intercept store.dispatch() calls.
const wrapperMount = mount(page)
// creates wrapperMount as SearchBar component in above example, and any child components of SearchBar
wrapperMount.find('.search-bar').simulate('change',{target:{value:"test"}})
// Simulates the value "test" being entered in the search bar via sinon
wrapperMount.find('#search-button').simulate('click')
// simulates a click and then below checks if a dispatch is initiated as a result of that click
t.is(store.dispatch.called,true)
})
```
# Jest Testing - Basics
```
const importedFunction = require('./importedFunction')
describe('Name for block of tests being run', () => {
test('Way in which we are testing importedFunction', () => {
expect(importedFunction(params)).toBe(importedFunctionOutput)
})
})
```
Jest assertions are fairly intuitive, expect(actual).toBeComparedSomehowTo(expected).
Describe blocks can be nested hierarchically.
There are numerous different Jest assertions we can run, some shown below.
Full list viewable at: https://facebook.github.io/jest/docs/en/expect.html
### Example Code:
```
describe('Ways of different assertions in Jest', () => {
test('Equivalency', () => {
expect(importedFunction(params)).toBe(expectedValue)
})
test('Truthy/Falsy', () => {
expect(function(params)).toBeTruthy()
expect(function2(params)).toBeFalsy()
})
test('Function Been Called', () => {
expect(function(params)).toHaveBeenCalled()
})
test('Error', () => {
expect(function(params)).toThrowError(Error)
})
const houseForSale = {bedrooms: 4}
test('Object to have property', () => {
expect(object).toHaveProperty('bedrooms',4)
})
})
```
# Jest Testing - Mock Functions
Mock functions created with jest.fn() and return undefined by default
Full documentation: https://facebook.github.io/jest/docs/en/mock-function-api.html
```
const mockFn = jest.fn()
//returns undefined unless we write:
mockFn.mockReturnValue("specify the value returned by mock function")
const mockFn2 = jest.fn()
.mockReturnValue("this will be default, called third")
.mockReturnValueOnce("this gets called first")
.mockReturnValueOnce("this gets called second")
mockFn2.mock.instances is an array that contains each instantiation of the mock function.
```
Jest mock functions are simple to setup and will automatically have access to the Jest object.
Jest object methods: https://facebook.github.io/jest/docs/en/jest-object.html
Useful jest object methods include:
```
jest.mock('../modulename')
const modulename = require('modulename') // Jest will mock this module
jest.isMockFunction(function) // will check if a given function is real or mocked
jest.enableAutomock() // allows automatic mocking of modules.
jest.genMockFromModule(modulename) // auto generate a mocked version of the module
```
# Firebase - Usage With React
Firebase is initiated in the componentWillMount part of the React lifecycle
More documentation: https://firebase.googleblog.com/2014/05/using-firebase-with-reactjs.html
```
componentWillMount: function() {
this.firebaseRef = new Firebase("https://ReactFireTodoApp.firebaseio.com/items/")
// link component to the desired firebase node
this.firebaseRef.on("child_added", function(dataSnapshot) {
// node is snapshotted and turned into an array on the state
this.items.push(dataSnapshot.val());
this.setState({
items: this.items
});
}.bind(this));
}
```
This takes care of the initial link to the firebase node, but to allow the app to add to the node we will
need to push to this.firebaseRef:
```
handleSubmit: function(e) {
e.preventDefault();
this.firebaseRef.push({
text: this.state.text
});
this.setState({text: ""});
}
```
Then disconnect the firebase node on unmount of component.
```
componentWillUnmount: function() {
this.firebaseRef.off();
}
```
# Firebase - SDK
Firebase SDK is initiated like this:
```
import * as firebase from "firebase"
var config = {
apiKey: "",
authDomain: ".firebaseapp.com",
databaseURL: "https://.firebaseio.com",
storageBucket: ".appspot.com",
};
firebase.initializeApp(config);
```
Once that's done, the Google Cloud storage bucket can be accessed via firebase.storage() and used as follows:
```
var storage = firebase.storage()
var storageRef = storage.ref()
var imagesRef = storageRef.child('images')
var spaceRef = storageRef.child('images/space.jpg')
```
Then disconnect the firebase node on unmount of component.
```
componentWillUnmount: function() {
this.firebaseRef.off();
}
```
# Redux Flow
Redux is designed for one directional top-down flow of state.
### Initial Clientside Dispatch - (Not Always Needed)
#### _Connected Component dispatches an API function that queries DB or external API._
```
// In client/containers/dataview.js
componentWillMount(){
this.props.dispatch(fetchData(this.props.match.params.id))
}
// this.props.match.params.id will take the :id part of the current URL, which is useful when using restful routes and fetching data based on the page user is on.
```
### Action Dispatched
#### _API function dispatches action with a type._
```
// In client/actions/data.js
export function fetchData(arg){
return (dispatch) => {
request
.get(`/api/v1/route/${arg}`)
.end((err, res)=>{
if (err) {
dispatch((errorHandler(err)))
} else {
dispatch((fetchDataAction(res.body)))
}
})
}
}
export function fetchDataAction(res){
return{
type:'FETCH_DATA',
res
}
}
```
### Reducer Stores Action
#### _Reducer receives action of specified type and puts action object into the store._
```
// In client/reducers/data.js
function data(state={},action){
switch (action.type){
case 'FETCH_DATA':
return{
...state,
userdata: action.res
}
default:
return state
}
}
export default data
```
### Map State To Props
#### _Connected Clientside Component Maps State To Props._
```
// In client/containers/dataview.js
const mapState2Props = (state) => {
return {
data: state.data.userdata
}
}
export default connect(mapState2Props)(Dataview)
```
### Update State When Props Change
#### _Connected Component takes Props on ComponentWillReceiveProps and updates state._
```
// In client/containers/dataview.js
componentWillReceiveProps({data}) {
this.setState(
{
data: data
}
)
}
```
#### _Loop now completed._
#### _Live updating changes to state as user triggers change via UI_
```
...
```
#### _User changes and submissions dispatched in same API-action-reducer flow._
```
...
```


Schedule
The schedule is as follows.
The below times are in the EST (GMT-5) timezone.
The current EST time is:
9:00 am
Yishay Weiss
In this session Yishay will give you an introduction into FlexJS and it's concepts to get you started in this exciting tech-stack.
10:00 am
Josh Tynjala
Learn to set up an environment for developing and debugging Apache FlexJS applications in Visual Studio Code.
11:20 am
Justin Mclean
In this talk I go through how you can reuse you existing code and testing techniques to test Apache FlexJS applications.
12:20 am
Christofer Dutz
In this talk I will explain how to setup your first modules using our new Maven archetypes and go though the different aspects of building FlexJS applications with Maven.
2:40 am
Gabe Harbs
Join us as we go through the process of converting existing applications to FlexJS and discover tried and true methods to migrate existing functionality.
3:40 am (double session)
Piotr Zarzycki
As the Flex team is approaching the 1.0 release we'd like to discuss what needs to be done in order to call it a 1.0.


|
Package pit_pkg
Declares the core PIT logic.  As the actual status is persisted in a global context, initializing PIT will effectively re-initialize all PIT packages
|
log_event
Procedure log_event(p_severity in pls_integer,
p_message_name in pit_util.ora_name_type default null,
p_msg_args in msg_args default null,
p_affected_id in pit_util.max_sql_char default null,
p_error_code in varchar2 default null)
Logs messages
|
|
This method is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls any log procedure of all active output modules and passes the message.
|
|
|
p_severity
|
Log-level. Allows to decide whether PIT should log or not. If 0, the message gets logged anyway, regardless of log settings
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_affected_id
|
Optional ID of an item a log entry relates to
|
|
|
p_error_code
|
Additional error code, used in external applications
|
log_state
Procedure log_state(p_params in msg_params,
p_severity in pit_message_severity.pse_id%type default null)
Logs parameters
|
|
This method is called from PIT. It expects an instance of MSG_PARAMS, containing variable names and their actual value. Useful if you want to log the state of variables without the context of a method call, fi to debug state within a loop. Optionally, you may add an ID to reference an item.
|
|
|
p_params
|
List of replacement values for the message
|
|
|
[p_severity]
|
Log level of the state message. Values get logged only if the actual log settings are lower (mor severe) or equal to P_SEVERITY. If NULL, parameter LOG_STATE_THRESHOLD controls whether the params get logged or not.
|
log_specific
Procedure log_specific(p_message_name in pit_util.ora_name_type,
p_affected_id in pit_util.max_sql_char,
p_error_code in varchar2,
p_msg_args in msg_args,
p_log_threshold in pit_message.pms_pse_id%type,
p_log_modules in pit_util.max_sql_char)
Logs messages regardless of log settings
|
|
This procedure is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls any log procedure of all active output modules and passes the message, regardless of the actual log settings. This overloaded version is used to provide a mechanism to log different messages to a certain set of log modules only
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_affected_id
|
Optional ID of an item a log entry relates to
|
|
|
p_error_code
|
Additional error code, used in external applications
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_log_threshold
|
Threshold that is taken as a comparison to the message severity to decide whether a message should be logged
|
|
|
p_log_modules
|
List of output modules to log to. This list is taken for this single call only. It does not affected the overall log module settings for the active or default context
|
enter
Procedure enter(p_action in pit_util.ora_name_type,
p_module in pit_util.ora_name_type,
p_params in msg_params,
p_trace_level in pls_integer,
p_client_info in varchar2)
Traces entering a method
|
|
Is called from PIT to trace entering a method. It will determine timing information and maintain a call stack.
|
|
|
p_action
|
Name of the block that is executed. Normally the procedure or function name within a package.
|
|
|
p_module
|
Unit that contains the method that is executed. Either the package name or ANONYMOUS, PROCEDURE, FUNCTION or TRIGGER
|
|
|
p_params
|
List of parameters which is passed into tracing. Only varchar2 is allowed as a parameter value with a maximum of 4000 byte.
|
|
|
p_trace_level
|
Trace level to allow for selective tracing.
|
|
|
p_client_info
|
Optional info to be passed to DBMS_APPLICATION_INFO , applicable for TRACE_MANDATORY only
|
leave
Procedure leave(p_trace_level in pls_integer,
p_params in msg_params,
p_on_error in boolean default false)
Traces leaving a method
|
|
Is called from PIT to trace leaving a method. Calculates timing information if requested and maintain a call stack.
|
|
|
p_trace_level
|
Trace level to allow for selective tracing.
|
|
|
p_params
|
Instance of msg_params with a list of key-value pairs representing parameter name and -value.
|
|
|
p_on_error
|
Flag to indicate whether leave method was called in connection with error handling
|
long_op
Procedure long_op(p_target in varchar2,
p_sofar in number,
p_total in number,
p_units in varchar2,
p_op_name in varchar2)
Sets dbms_application_info.
|
|
Use this procedure to pass information about long operations to the database. If this task is completed, call this procedure with p_sofar = p_total (or p_sofar = 100) to allow for proper state cleansing. If you call pit.SQL_EXCEPTION or pit.STOP , the state will be cleaned as well. This method will work only if tracing is enabled, as it takes OP_NAME from the call stack and persist the actual index with the call stack.
|
|
|
p_target
|
Description of the operation
|
|
|
p_sofar
|
Percentage of the task completed (0 .. 100 or individual scale)
|
|
|
p_total
|
Amount of work to be done
|
|
|
p_units
|
Unit of work, eg. "rows processed" or similar
|
|
|
p_op_name
|
Actual action. Either passed in manually or taken from the method name
|
purge_log
Procedure purge_log(p_date_before in date,
p_severity_lower_equal in pls_integer)
Purges the message stack after a given point in time
|
|
Is called from PIT to purge the message stack - P_DATE_BEFORE determines which entries to purge. - P_SEVERITY_GREATER_EQUAL determines which severity is to be purged. Setting it to 40 will purge all entries with severity of 40 and greater.
|
|
|
p_date_before
|
Date, before which the message log is purged
|
|
|
p_severity_lower_equal
|
Optional severity level that controls which severity of messages shall be purged. Includes all messages with severity P_SEVERITY_GREATER_EQUAL and lower
|
print
Procedure print(p_message_name in pit_util.ora_name_type,
p_msg_args in msg_args)
Prints a message to the output modules. Used to pass user information to the view layer
|
|
This procedure is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls any print procedure of all active output modules and passes the message.
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_msg_args
|
List of replacement values for the message
|
notify
Procedure notify(p_message_name in pit_util.ora_name_type,
p_affected_id in pit_util.max_sql_char,
p_msg_args in msg_args,
p_log_threshold in pit_message.pms_pse_id%type,
p_log_modules in pit_util.max_sql_char)
Notify output modules
|
|
This procedure is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls any notify procedure of all active output modules and passes the message. Notifications are meant to be used for progress messages and the like.
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_affected_id
|
Optional ID of an item a log entry relates to
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_log_threshold
|
Threshold that is taken as a comparison to the message severity to decide whether a message should be logged
|
|
|
p_log_modules
|
List of output modules to log to. This list is taken for this single call only. It does not affected the overall log module settings for the active or default context
|
raise_error
Procedure raise_error(p_severity in pls_integer,
p_message_name in pit_util.ora_name_type default null,
p_msg_args in msg_args default null,
p_affected_id in pit_util.max_sql_char default null,
p_error_code in varchar2 default null)
Raises an error
|
|
This procedure is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls raises an error with the respective message that can be caught by the exception block. Messages with severity error or fatal have an associated error called <MESSAGE_NAME>_ERR that can be used to capture the error.
|
|
|
p_severity
|
Severity of the message to raise (FATAL|ERROR)
|
|
|
p_message_name
|
Name of the message to raise
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_affected_id
|
ID of an object that is affected by this message
|
|
|
p_error_code
|
Additional error code, used in external applications
|
handle_error
Procedure handle_error(p_severity in pls_integer,
p_message_name in pit_util.ora_name_type default null,
p_msg_args in msg_args default null,
p_affected_id in pit_util.max_sql_char default null,
p_error_code in varchar2 default null,
p_params in msg_params default null)
Handels an error
|
|
This procedure is called from PIT. It takes the message_name and constructs an instance of MESSAGE_TYPE for it. It then calls raises an error with the respective message that can be caught by the exception block. Messages with severity error or fatal have an associated error called <MESSAGE_NAME>_ERR that can be used to capture the error.
|
|
|
p_severity
|
Severity of the message to log (FATAL|ERROR)
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_affected_id
|
ID of an object that is affected by this message
|
|
|
p_error_code
|
Additional error code, used in external applications
|
|
|
p_params
|
Instance of msg_params with a list of key-value pairs representing parameter name and -value.
|
get_message
Function get_message(p_message_name in pit_util.ora_name_type,
p_msg_args in msg_args,
p_affected_id in pit_util.max_sql_char,
p_error_code in varchar2) return message_type
Returns an instance of type MESSAGE_TYPE.
|
|
This procedure is called from PIT. It takes the message_name, constructs an instance of MESSAGE_TYPE and returns the message instance.
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
p_affected_id
|
ID of an object that is affected by this message
|
|
|
p_error_code
|
Optional error code, usable by external applications
|
|
|
Instance of the requested message.
|
get_active_message
Function get_active_message return message_type
Helper function to retrieve the actually instantiated message instance
|
|
Instance of type MESSAGE_TYPE that has been instantiated by PIT before
|
check_datatype
Function check_datatype(p_value in varchar2,
p_type in varchar2,
p_format_mask in varchar2) return boolean
Implements a data type check for a given varchar2 value
|
|
Is used to implement assert_datatype method
|
|
|
p_value
|
Value to check
|
|
|
p_type
|
Expected data type. One of the C_TYPE_... constants
|
|
|
p_format_mask
|
Format mask to convert a string to the target value. May be NULL.
|
|
|
Flag to indicate whether the varchar2 string is of the expected type (TRUE) or not (FALSE)
|
get_message_text
Function get_message_text(p_message_name in pit_util.ora_name_type,
p_msg_args in msg_args) return clob
Returns the text of a message
|
|
This procedure is called from PIT. It takes the message_name , constructs an instance of MESSAGE_TYPE and returns the message text.
|
|
|
p_message_name
|
Name of the message to log
|
|
|
p_msg_args
|
List of replacement values for the message
|
|
|
Messagetext of the requested message.
|
get_trans_item
Function get_trans_item(p_pti_pmg_name in pit_message_group.pmg_name%type,
p_pti_id in pit_translatable_item.pti_id%type,
p_msg_args msg_args,
p_pti_pml_name in pit_message_language.pml_name%type)
return pit_util.translatable_item_rec
Function to retrieve a PIT translatable item (PTI)
|
|
method to get access to a translated item.
|
|
|
p_pti_pmg_name
|
Name of the message group the PTI belongs to
|
|
|
p_pti_id
|
ID of the item to retreive translations for
|
|
|
p_msg_args
|
MSG_ARGS object to adjust NAME or DISPLAY_NAME of the PTI
|
|
|
p_pti_pml_name
|
Oracle language reference
|
|
|
Record of type PIT_UTIL.TRANSLATABLE_ITEM_REC with access to PTI_NAME, PTI_DISPLAY_NAME and PTI_DESCRIPTION
|
get_context
Function get_context return pit_util.context_type
Functon to retrieve the actual context as an instance of <ocde>pit_util.CONTEXT_TYPE
|
|
is called if an external function wishes to persist the actual settings and reset them later
|
|
|
Instance of context_type filled with the actually valid settings
|
set_context
Procedure set_context(p_context in pit_util.context_type)
Procedure to change the settings in the global PIT_CONTEXT
|
|
This procedure is used if log settings have to be changed dynamically Normal usage is to overwrite log settings as defined in the parameters for a given session.
|
|
|
p_context
|
Instance of PIT_UTIL.context_type
|
reset_active_context
Procedure reset_active_context
Procedure to reset log settings to the default settings
|
|
If settings for a session were changed, calling this procedure resets these settings to the default settings as defined by the parameters
|
reset_context
Procedure reset_context
Procedure to reset the complete context to default settings
|
|
Use this procedure to rest all session settings to the default settings. Be aware that calling this procedure will reset ALL log settings of ALL sessions to default
|
set_collect_mode
Procedure set_collect_mode(p_mode in boolean)
Procedure to toggle PIT collection mode
|
|
Is used to set PIT to collect mode, where all messages are collected rather than thrown or processed immediate. This mode allows for validation methods to perfrom all internal validations prior to raising validation errors. If collection mode is switched off by passing FALSE into this function, the list of raised messages is examined. If at least one message of secverity C_LEVEL_FATAL is present, exception PIT_BULK_FATAL is raised. If at least one message of secverity C_LEVEL_ERROR is present, exception PIT_BULK_ERROR is raised.
|
|
|
p_mode
|
Flag to indicate whether PIT shall collect messages (TRUE) or not (FALSE);
|
get_collect_mode
Function get_collect_mode return boolean
Method to read the actually set collection mode
get_message_collection
Function get_message_collection return pit_message_table
Method to retrieve the collection of messages raised since setting PIT to collect mode
|
|
Is used to retrieve a list of all messages raised during the collect cycle. It implicitly terminates collection mode by calling SET_COLLECT_MODE(FALSE) if PIT is still in collection mode. Normal usage is terminating collection mode explicity and deal with the list of messages in the exception block
|
|
|
Instance of PIT_MESSAGE_TABLE, a list of message instances
|
get_actual_call_stack_depth
Function get_actual_call_stack_depth return pls_integer
Method to retrieve the actual call stack depth.
|
|
Used internally to check whether the call stack is correctly maintained
|
get_modules
Function get_modules return pit_module_list
Function to retrieve a list of all installed modules
|
|
Use this function if you require a list of all installed modules.
|
|
|
PIT_MODULE_LIST-type, List of modules, availabilty and active status
|
get_active_modules
Function get_active_modules return args
Function to retrieve a list of active modules
|
|
Use this function if you require a list of active modules.
|
|
|
ARGS-type, List of module names
|
get_available_modules
Function get_available_modules return args
Function to retrieve a list of available modules
|
|
Use this function if you require a list of available modules. A module is AVAILABLE if it could be initialized succesfully.
|
|
|
ARGS-type, List of module names
|
report_module_status
Function report_module_status return args
Function to retrieve status of all modules
|
|
Use this function if you require a status of all modules.
|
|
|
ARGS-type, List of module names
|


'Brokedown Palace' (1999)
A movie review by Walter Frith
<EMAIL_ADDRESS>Member of the 'Online Film Critics Society' http://www.ofcs.org
How much trouble can you get into abroad when trusting strangers? Quite a bit if you witness the film 'Brokedown Palace' which is sort of a female version of 1978's 'Midnight Express'. In that film, based on a true story (which won Oliver Stone his first Oscar in the category of Best Adapted Screenplay), an American named William Hayes was caught trying to willfully smuggle drugs out of Turkey and was caught at the airport and sentenced to life imprisonment. That film showed his criminal attempt, his capture, his trial, his sentencing and his torture at the hands of prison officials which was disturbing to watch at times. Director Alan Parker was able to capture the sadistic aspects of human rights gone awry and the film had depth, brutal imagery and an overwhelming sense of violence necessary to the film's point. 'Brokedown Palace' is a lukewarm version of this, told with a sedated sense of benign occupancy and little power to really make it fly.
Two high school graduates from Ohio (Claire Danes as Alice Marano and Kate Beckinsale as Darlene Davis) are about to enjoy freedom away from the classroom. They decide to embark on a journey for the summer to Bangkok, Thailand where a friend told them that it is possible to spend the whole summer there for about $500 U.S. Deciding to expand their horizons, the two young women go and find this third world tourist spot isn't all it's cracked up to be. Their $6 a night hotel is infested with cockroaches, and it's dirty, tiny and they have to share the same bed. After seeing the sites, dancing away the night life and getting closer to the leisurely side of life they meet a seemingly friendly Australian chap named Nick (Daniel Lapaine) to whom they open their hearts. He is able to convince them both to take a trip with him to Hong Kong. The girls are nabbed by Thai authorities at the airport in the form of a small army, complete with machine guns to intimidate the most erratic criminal and the girls are arrested. Their crime? Smuggling drugs out of the country without their knowledge. Of course, they're innocent. This happens when they trust a cab driver to put their bags in the trunk on the way to the airport and the girls are duped into being naive patsies and a diversion for the real drug smuggling to go off without a hitch.
At their trial, they are both deemed to be of poor character. An incident is brought up by the prosecution regarding how the two tried to pass themselves off as guests at a ritzy local hotel, sitting by the pool and ordering expensive drinks. This doesn't look good for them and based on this fact and different circumstantial points they are convicted and sentenced to 33 years behind bars. An American lawyer practicing in Hong Kong (Bill Pullman) tries to handle their case and finds little support from a U.S. embassy official (Lou Diamond Phillips) who doubts the girls are innocent.
Director Jonathan Kaplan who made the very lacerating 'Unlawful Entry' in 1992 and directed Jodie Foster to her first Oscar for 'The Accused' in 1988 strikes out this time around with a story too sedated for its own good. There are some good moments in the film and there are moments of deep dramatic presentation and a fairly good performance from Claire Danes as one of the convicted but Kate Beckinsale gives a rather stiff performance and the screenplay by Adam Fields and David Arata lacks emotional fire and the overall presentation of the film is comparable to having the feeling that a nightmare such as this should be more intoxicating and should put the audience over more with its protagonists but little sympathy is generated for them and this is wrong since they are innocent! The film has a good ending in my view. It's a mix of sorrow and happiness together but may be the wrong way to end the film in the eyes of many and you may feel that nothing concrete has been accomplished and that the whole point of the film may be lost since the bad will seem to over shadow the good.
OUT OF 5 > * * *
Visit FILM FOLLOW-UP by Walter Frith http://www.cgocable.net/~wfrith/movies.htm
* * * * * - a must see * * * * 1/2 - don't miss it * * * * - an excellent film * * * 1/2 - a marginal recommendation * * * - can't quite recommend it * * 1/2 - don't recommend it * * - avoid it * 1/2 - avoid it seriously * - avoid it AT ALL COSTS 1/2 - see it at your own risk zero - may be hazardous to your health
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Next: file-write-date, Previous: truename, Up: Files Dictionary
file-author
pathspec ⇒ author
pathspec—a pathname designator.
author—a string or nil.
Returns a string naming the author of the file specified by pathspec, or nil if the author’s name cannot be determined.
(with-open-file (stream ">relativity>general.text") (file-author s)) ⇒ "albert"
The host computer’s file system.
Other users of the file named by pathspec.
An error of type file-error is signaled if pathspec is wild.
An error of type file-error is signaled if the file system cannot perform the requested operation.


John Boyega Praises Finn’s Growth In The Rise of Skywalker
by Robert WorkmanFinn has come a long way since his introduction in the The Force Awakens. With The Rise of Skywalker coming next month, fans will see his journey reach its conclusion. While speaking with Entertainment Weekly, John Boyega reflected on Finn’s growth in the series. Boyega added that he actually had to “read the script six more times because there was so much information in there.”
Boyega also noted that he appreciates the way Finn grew out of being a “comedic goofy dude.”
“I definitely wanted more after Episode VIII. [Rise of Skywalker] makes Finn’s Episode VIII arc make more sense,” added Boyega. “We got to bring out a side of Finn we haven’t seen.”
RELATED: The Rise of Skywalker Won’t Leave Loose Threads For a New Trilogy
Boyega also praised director J.J. Abrams for encouraging improvisation on the set.
“J.J. came back with a new energy and new vibe,” said Boyega. “He wanted dialogue to be messy and natural, and that got all of us really excited.”
Star Wars: The Rise of Skywalker will hit theaters on December 20.
What do you think about Finn’s overall growth through the course of the Star Wars films? Let us know in the comments below!
Recommended Reading: Ultimate Star Wars, New Edition: The Definitive Guide to the Star Wars Universe
We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means to earn fees by linking to Amazon.com and affiliated sites.


FLAVIO STELLA IS A GEMINI PROGIDY
LIKE BEYONCE'S TWINS
CV
EDUCATION
2013 : Degree in Media, Culture & Communication Université Catholique de Lille (France)
Specialized teaching : Event communication
2011 : High school diploma in litterature Noordover High-School (France) Specialized teachings : Cinema, English
LANGUAGES
French - mother tongue
English - fluent
German - beginner
IT SKILLS
-Adobe InDesign,
-Photoshop,
-Illustrator,
-Premiere Pro Office Suite
-CMS : WordPress
-Social networking
MISCELLANEOUS
Event promoter @ Factory Berlin
INTERESTS
-Music
-Concerts
-Digital culture
-Contemporary art
-Astrology
PROFESSIONAL EXPERIENCE
Junior online marketing manager @ LEAP/ digital marketing
Berlin / 2016, August - Today
- Linkbuilding
- Content writing and editing for SEO purposes
- Account management
Business development assistant FR @ myDriver by Sixt
Berlin / 2016, March - 2016, August
- CRM implementation and development
- Content redaction and translation
Customer care specialist FR @ Zalando Ventures
Berlin / 2015, September - 2016, March
- Content redaction for customer service use
- Plannification of CRM strategies for cases of escalation
Translator @ Lingoda
Berlin / 2015, August - Today
- Translation of blog articles from English to French
Department manager/Sales advisor @ & Other Stories
Paris / 2014, April - 2015, July
- Department management
- Customer advising and visual merchandising
Communications officer @ Artevia («Berges de Seine» project)
Paris / 2013, May - 2013, October
- Web content editing and moderation
- Social media management
- Print communication and graphic design assistant
- Implementation and promotion of a mobile app
PR assistant @ lille3000 (Triennalle Fantastic 2012)
Lille / 2012, November - 2013, January
- Guided tours of the exhibitions for the press and the public
- Development of PR tools
Communications assistant @ L’international (concert hall)
Paris / 2012, May - 2012, October
- Edition and management of the venue’s program (web and print)
- Social media management
- Creation, editing and redaction of blog content
- Implementation and management of a street team


Haoran Bai, Di Kang, Haoxian Zhang, Jinshan Pan, and Linchao Bao
FFHQ-UV is a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions, which are desired characteristics for rendering realistic 3D face models under different lighting conditions.
The dataset is derived from a large-scale face image dataset namely FFHQ, with the help of our fully automatic and robust UV-texture production pipeline. Our pipeline utilizes the recent advances in StyleGAN-based facial image editing approaches to generate multi-view normalized face images from single-image inputs. An elaborated UV-texture extraction, correction, and completion procedure is then applied to produce high-quality UV-maps from the normalized face images. Compared with existing UV-texture datasets, our dataset has more diverse and higher-quality texture maps.
@article{FFHQ-UV,
title={FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction},
author={Bai, Haoran and Kang, Di and Zhang, Haoxian and Pan, Jinshan and Bao, Linchao},
journal={arXiv preprint arXiv:2211.13874},
year={2022}
}
Coming soon.
If you have any question, please contact us by:


Student developer who whishes to improve knowledge and I am looking for a place where I can use my knowledge to serve the organization and evolve continuously through learning.
Student Developer
Peddapuram, India
<EMAIL_ADDRESS>+91<PHONE_NUMBER>
Skills
Java
HTML/CSS
OOPS
Python
JDBC
Github
Data Structures
Object Oriented Programming
MySQL
JSP
Languages
English
Professional Working Proficiency
Telugu
Native or Bilingual Proficiency
Hindi
Limited working Proficiency
EDUCATION DETAILS
Sathyabama Institute Of Science And Technology
2016 - 2020
Sri Chaitanya Girls Junior College
2014 - 2016
Dr.k.k.r's Gowtham Concept schools
2014 - 2016
PROJECTS
Developed a web application which allow user to write their daily routine and save it into the database and with authentication functionality to the user credentials.
Developed an android application for companies to make an entry of the visitors by the security using Flutter and Firebase.
Developed a web application which stores the feelings of an user when the user listens to a particular music. So, that the user can compare the current feelings to the past stored feelings when listens to same music again.
Web application which is used by the user to book the table in the restaurant for a desired time slot.


| Package | Description |
|---|---|
| org.apache.commons.math3.analysis.integration |
Numerical integration (quadrature) algorithms for univariate real functions.
|
| org.apache.commons.math3.analysis.polynomials |
Univariate real polynomials implementations, seen as differentiable
univariate real functions.
|
| org.apache.commons.math3.complex |
Complex number type and implementations of complex transcendental
functions.
|
| org.apache.commons.math3.fraction |
Fraction number type and fraction number formatting.
|
| org.apache.commons.math3.linear |
Linear algebra support.
|
| org.apache.commons.math3.random |
Random number and random data generators.
|
| org.apache.commons.math3.stat.descriptive |
Generic univariate summary statistic objects.
|
| org.apache.commons.math3.stat.descriptive.moment |
Summary statistics based on moments.
|
| org.apache.commons.math3.stat.descriptive.rank |
Summary statistics based on ranks.
|
| org.apache.commons.math3.stat.descriptive.summary |
Other summary statistics.
|
| org.apache.commons.math3.stat.inference |
Classes providing hypothesis testing and confidence interval
construction.
|
| org.apache.commons.math3.util |
Convenience routines and common data structures used throughout the commons-math library.
|
| Modifier and Type | Method and Description |
|---|---|
double |
UnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double min,
double max)
Integrate the function in the given interval.
|
double |
BaseAbstractUnivariateIntegrator.integrate(int maxEval,
UnivariateFunction f,
double lower,
double upper)
Integrate the function in the given interval.
|
protected void |
BaseAbstractUnivariateIntegrator.setup(int maxEval,
UnivariateFunction f,
double lower,
double upper)
Prepare for computation.
|
| Modifier and Type | Method and Description |
|---|---|
protected static double[] |
PolynomialFunction.differentiate(double[] coefficients)
Returns the coefficients of the derivative of the polynomial with the given coefficients.
|
protected static double |
PolynomialFunction.evaluate(double[] coefficients,
double argument)
Uses Horner's Method to evaluate the polynomial with the given coefficients at
the argument.
|
| Constructor and Description |
|---|
PolynomialFunction(double[] c)
Construct a polynomial with the given coefficients.
|
| Modifier and Type | Method and Description |
|---|---|
Complex |
Complex.add(Complex addend)
Returns a
Complex whose value is
(this + addend) . |
Complex |
Complex.divide(Complex divisor)
Returns a
Complex whose value is
(this / divisor) . |
Complex |
Complex.multiply(Complex factor)
Returns a
Complex whose value is this * factor . |
Complex |
Complex.pow(Complex x)
Returns of value of this complex number raised to the power of
x . |
Complex |
Complex.subtract(Complex subtrahend)
Returns a
Complex whose value is
(this - subtrahend) . |
| Modifier and Type | Method and Description |
|---|---|
BigFraction |
BigFraction.add(BigInteger bg)
Adds the value of this fraction to the passed
BigInteger ,
returning the result in reduced form. |
| Modifier and Type | Method and Description |
|---|---|
protected static void |
PreconditionedIterativeLinearSolver.checkParameters(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x0)
Performs all dimension checks on the parameters of
solve
and
solveInPlace ,
and throws an exception if one of the checks fails. |
protected static void |
IterativeLinearSolver.checkParameters(RealLinearOperator a,
RealVector b,
RealVector x0)
Performs all dimension checks on the parameters of
solve and
solveInPlace ,
and throws an exception if one of the checks fails. |
void |
AbstractRealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in
the input subMatrix array. |
void |
RealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in
the input subMatrix array. |
void |
BlockRealMatrix.setSubMatrix(double[][] subMatrix,
int row,
int column)
Replace the submatrix starting at
row, column using data in
the input subMatrix array. |
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealLinearOperator minv,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator minv,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
boolean goodb,
double shift)
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
IterativeLinearSolver.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b,
boolean goodb,
double shift)
Returns the solution to the system (A - shift · I) · x = b.
|
RealVector |
IterativeLinearSolver.solve(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
PreconditionedIterativeLinearSolver.solve(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solve(RealLinearOperator a,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
abstract RealVector |
PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
ConjugateGradient.solveInPlace(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealLinearOperator minv,
RealVector b,
RealVector x,
boolean goodb,
double shift)
Returns an estimate of the solution to the linear system (A - shift
· I) · x = b.
|
abstract RealVector |
IterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
PreconditionedIterativeLinearSolver.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x0)
Returns an estimate of the solution to the linear system A · x =
b.
|
RealVector |
SymmLQ.solveInPlace(RealLinearOperator a,
RealVector b,
RealVector x)
Returns an estimate of the solution to the linear system A · x =
b.
|
| Constructor and Description |
|---|
Array2DRowFieldMatrix(Field<T> field,
T[][] d,
boolean copyArray)
Create a new
FieldMatrix<T> using the input array as the underlying
data array. |
Array2DRowRealMatrix(double[][] d)
Create a new
RealMatrix using the input array as the underlying
data array. |
IterativeLinearSolver(IterationManager manager)
Creates a new instance of this class, with custom iteration manager.
|
PreconditionedIterativeLinearSolver(IterationManager manager)
Creates a new instance of this class, with custom iteration manager.
|
| Modifier and Type | Method and Description |
|---|---|
void |
EmpiricalDistribution.load(double[] in)
Computes the empirical distribution from the provided
array of numbers.
|
void |
EmpiricalDistribution.load(File file)
Computes the empirical distribution from the input file.
|
void |
EmpiricalDistribution.load(URL url)
Computes the empirical distribution using data read from a URL.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
DescriptiveStatistics.copy(DescriptiveStatistics source,
DescriptiveStatistics dest)
Copies source to dest.
|
static void |
SummaryStatistics.copy(SummaryStatistics source,
SummaryStatistics dest)
Copies source to dest.
|
static void |
SynchronizedDescriptiveStatistics.copy(SynchronizedDescriptiveStatistics source,
SynchronizedDescriptiveStatistics dest)
Copies source to dest.
|
static void |
SynchronizedSummaryStatistics.copy(SynchronizedSummaryStatistics source,
SynchronizedSummaryStatistics dest)
Copies source to dest.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
GeometricMean.copy(GeometricMean source,
GeometricMean dest)
Copies source to dest.
|
static void |
Kurtosis.copy(Kurtosis source,
Kurtosis dest)
Copies source to dest.
|
static void |
Mean.copy(Mean source,
Mean dest)
Copies source to dest.
|
static void |
SecondMoment.copy(SecondMoment source,
SecondMoment dest)
Copies source to dest.
|
static void |
SemiVariance.copy(SemiVariance source,
SemiVariance dest)
Copies source to dest.
|
static void |
Skewness.copy(Skewness source,
Skewness dest)
Copies source to dest.
|
static void |
StandardDeviation.copy(StandardDeviation source,
StandardDeviation dest)
Copies source to dest.
|
static void |
Variance.copy(Variance source,
Variance dest)
Copies source to dest.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
Max.copy(Max source,
Max dest)
Copies source to dest.
|
static void |
Min.copy(Min source,
Min dest)
Copies source to dest.
|
static void |
Percentile.copy(Percentile source,
Percentile dest)
Copies source to dest.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
Product.copy(Product source,
Product dest)
Copies source to dest.
|
static void |
SumOfLogs.copy(SumOfLogs source,
SumOfLogs dest)
Copies source to dest.
|
static void |
SumOfSquares.copy(SumOfSquares source,
SumOfSquares dest)
Copies source to dest.
|
static void |
Sum.copy(Sum source,
Sum dest)
Copies source to dest.
|
| Modifier and Type | Method and Description |
|---|---|
double |
OneWayAnova.anovaFValue(Collection<double[]> categoryData)
Computes the ANOVA F-value for a collection of
double[]
arrays. |
double |
OneWayAnova.anovaPValue(Collection<double[]> categoryData)
Computes the ANOVA P-value for a collection of
double[]
arrays. |
boolean |
OneWayAnova.anovaTest(Collection<double[]> categoryData,
double alpha)
Performs an ANOVA test, evaluating the null hypothesis that there
is no difference among the means of the data categories.
|
double |
ChiSquareTest.chiSquare(long[][] counts)
Computes the Chi-Square statistic associated with a
chi-square test of independence based on the input
counts
array, viewed as a two-way table. |
static double |
TestUtils.chiSquare(long[][] counts) |
double |
ChiSquareTest.chiSquareTest(long[][] counts)
Returns the observed significance level, or
p-value, associated with a
chi-square test of independence based on the input
counts
array, viewed as a two-way table. |
static double |
TestUtils.chiSquareTest(long[][] counts) |
boolean |
ChiSquareTest.chiSquareTest(long[][] counts,
double alpha)
Performs a
chi-square test of independence evaluating the null hypothesis that the
classifications represented by the counts in the columns of the input 2-way table
are independent of the rows, with significance level
alpha . |
static boolean |
TestUtils.chiSquareTest(long[][] counts,
double alpha) |
double |
TTest.homoscedasticT(double[] sample1,
double[] sample2)
Computes a 2-sample t statistic, under the hypothesis of equal
subpopulation variances.
|
static double |
TestUtils.homoscedasticT(double[] sample1,
double[] sample2) |
double |
TTest.homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Computes a 2-sample t statistic, comparing the means of the datasets
described by two
StatisticalSummary instances, under the
assumption of equal subpopulation variances. |
static double |
TestUtils.homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
double |
TTest.homoscedasticTTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or
p-value, associated with a two-sample, two-tailed t-test
comparing the means of the input arrays, under the assumption that
the two samples are drawn from subpopulations with equal variances.
|
static double |
TestUtils.homoscedasticTTest(double[] sample1,
double[] sample2) |
boolean |
TTest.homoscedasticTTest(double[] sample1,
double[] sample2,
double alpha)
Performs a
two-sided t-test evaluating the null hypothesis that
sample1
and sample2 are drawn from populations with the same mean,
with significance level alpha , assuming that the
subpopulation variances are equal. |
static boolean |
TestUtils.homoscedasticTTest(double[] sample1,
double[] sample2,
double alpha) |
double |
TTest.homoscedasticTTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Returns the observed significance level, or
p-value, associated with a two-sample, two-tailed t-test
comparing the means of the datasets described by two StatisticalSummary
instances, under the hypothesis of equal subpopulation variances.
|
static double |
TestUtils.homoscedasticTTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
double |
MannWhitneyUTest.mannWhitneyU(double[] x,
double[] y)
Computes the Mann-Whitney
U statistic comparing mean for two independent samples possibly of
different length.
|
double |
MannWhitneyUTest.mannWhitneyUTest(double[] x,
double[] y)
Returns the asymptotic observed significance level, or
p-value, associated with a Mann-Whitney
U statistic comparing mean for two independent samples.
|
static double |
TestUtils.oneWayAnovaFValue(Collection<double[]> categoryData) |
static double |
TestUtils.oneWayAnovaPValue(Collection<double[]> categoryData) |
static boolean |
TestUtils.oneWayAnovaTest(Collection<double[]> categoryData,
double alpha) |
double |
TTest.pairedT(double[] sample1,
double[] sample2)
Computes a paired, 2-sample t-statistic based on the data in the input
arrays.
|
static double |
TestUtils.pairedT(double[] sample1,
double[] sample2) |
double |
TTest.pairedTTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or
p-value, associated with a paired, two-sample, two-tailed t-test
based on the data in the input arrays.
|
static double |
TestUtils.pairedTTest(double[] sample1,
double[] sample2) |
boolean |
TTest.pairedTTest(double[] sample1,
double[] sample2,
double alpha)
Performs a paired t-test evaluating the null hypothesis that the
mean of the paired differences between
sample1 and
sample2 is 0 in favor of the two-sided alternative that the
mean paired difference is not equal to 0, with significance level
alpha . |
static boolean |
TestUtils.pairedTTest(double[] sample1,
double[] sample2,
double alpha) |
double |
TTest.t(double[] sample1,
double[] sample2)
Computes a 2-sample t statistic, without the hypothesis of equal
subpopulation variances.
|
static double |
TestUtils.t(double[] sample1,
double[] sample2) |
double |
TTest.t(double mu,
double[] observed)
Computes a
t statistic given observed values and a comparison constant.
|
static double |
TestUtils.t(double mu,
double[] observed) |
double |
TTest.t(double mu,
StatisticalSummary sampleStats)
|
static double |
TestUtils.t(double mu,
StatisticalSummary sampleStats) |
double |
TTest.t(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Computes a 2-sample t statistic , comparing the means of the datasets
described by two
StatisticalSummary instances, without the
assumption of equal subpopulation variances. |
static double |
TestUtils.t(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
double |
TTest.tTest(double[] sample1,
double[] sample2)
Returns the observed significance level, or
p-value, associated with a two-sample, two-tailed t-test
comparing the means of the input arrays.
|
static double |
TestUtils.tTest(double[] sample1,
double[] sample2) |
boolean |
TTest.tTest(double[] sample1,
double[] sample2,
double alpha)
Performs a
two-sided t-test evaluating the null hypothesis that
sample1
and sample2 are drawn from populations with the same mean,
with significance level alpha . |
static boolean |
TestUtils.tTest(double[] sample1,
double[] sample2,
double alpha) |
double |
TTest.tTest(double mu,
double[] sample)
Returns the observed significance level, or
p-value, associated with a one-sample, two-tailed t-test
comparing the mean of the input array with the constant
mu . |
static double |
TestUtils.tTest(double mu,
double[] sample) |
boolean |
TTest.tTest(double mu,
double[] sample,
double alpha)
Performs a
two-sided t-test evaluating the null hypothesis that the mean of the population from
which
sample is drawn equals mu . |
static boolean |
TestUtils.tTest(double mu,
double[] sample,
double alpha) |
double |
TTest.tTest(double mu,
StatisticalSummary sampleStats)
Returns the observed significance level, or
p-value, associated with a one-sample, two-tailed t-test
comparing the mean of the dataset described by
sampleStats
with the constant mu . |
static double |
TestUtils.tTest(double mu,
StatisticalSummary sampleStats) |
boolean |
TTest.tTest(double mu,
StatisticalSummary sampleStats,
double alpha)
Performs a
two-sided t-test evaluating the null hypothesis that the mean of the
population from which the dataset described by
stats is
drawn equals mu . |
static boolean |
TestUtils.tTest(double mu,
StatisticalSummary sampleStats,
double alpha) |
double |
TTest.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
Returns the observed significance level, or
p-value, associated with a two-sample, two-tailed t-test
comparing the means of the datasets described by two StatisticalSummary
instances.
|
static double |
TestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
boolean |
TTest.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double alpha)
Performs a
two-sided t-test evaluating the null hypothesis that
sampleStats1 and sampleStats2 describe
datasets drawn from populations with the same mean, with significance
level alpha . |
static boolean |
TestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double alpha) |
double |
WilcoxonSignedRankTest.wilcoxonSignedRank(double[] x,
double[] y)
Computes the
Wilcoxon signed ranked statistic comparing mean for two related
samples or repeated measurements on a single sample.
|
double |
WilcoxonSignedRankTest.wilcoxonSignedRankTest(double[] x,
double[] y,
boolean exactPValue)
Returns the observed significance level, or
p-value, associated with a
Wilcoxon signed ranked statistic comparing mean for two related
samples or repeated measurements on a single sample.
|
| Modifier and Type | Method and Description |
|---|---|
static void |
MathUtils.checkNotNull(Object o)
Checks that an object is not null.
|
static void |
ResizableDoubleArray.copy(ResizableDoubleArray source,
ResizableDoubleArray dest)
Copies source to dest, copying the underlying data, so dest is
a new, independent copy of source.
|
double |
DefaultTransformer.transform(Object o) |
| Constructor and Description |
|---|
ResizableDoubleArray(ResizableDoubleArray original)
Copy constructor.
|
Copyright © 2003-2012 The Apache Software Foundation. All Rights Reserved.


A NEW, INNOVATING TECHNOLOGY THAT WILL CHANGE LIVES FOREVER.
The grain is a memory recording neural implant device, inserted under the skin, just behind your ear.


For example, if you have multiple Windows agents and you have a job that
must run on Windows, then you could configure all your Windows agents to have
the label windows
, and then tie that job to this label.
This would ensure that your job runs on one of your Windows agents, but not on
any agents without this label.
Labels do not necessarily have to represent the operating system on the agent; you can also use labels to note the CPU architecture, or that a certain tool is installed on the agent.
Multiple labels must be separated by a space. For example,
windows docker
would assign two labels to the agent: windows
and docker
.
Labels may contain any non-space characters, but you should avoid special
characters such as any of these: !&|<>()
, as other Jenkins
features allow for defining label expressions, where these characters may be
used.


This is the Example test code for the SEM CSL Functional layer.
- NOTE: (C) Copyright 2009 Texas Instruments, Inc.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of Texas Instruments Incorporated nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.


--- layout: post status: publish published: true title: The Hawk Harrelson Excuse Machine - Episode 7.42 author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 11393 wordpress_url: http://ivyenvy.com/?p=11393 date: '2015-08-16 22:49:24 +0000' date_gmt: '2015-08-17 03:49:24 +0000' categories: - Podcast tags: [] comments: [] ---
It was yet another exciting week in Cubs baseball. The Cubs only lost one game, today's game against the White Sox. We give a lot of respect to Sale, who pitched a spectacular game, but don't have many other nice things to say about the White Sox, especially Hawk Harrelson.
We look at the hot-streak the Cubs have been on since the Phillies series and look at a few team and player stats that have helped facilitate the winning streak. Corey talks about a benefit of Joe Maddon managing this team like they're in the playoffs...and it's not all about just getting wins.
Somehow, in the midst of this stretch of incredible Cubs baseball, Kurt finds a negative scary stat. We also share a few internet muscle flexes, one of which calls for the dismissal of Joe Maddon.


Required file: Variables.
This function was written As a practice exercise for a graduate econometrics course. This function can be used to check the Null Hypothesis that a variable in an ordinary least square (OLS) regression is zero.
bootstrap1<-function(y,X,vtest=2,B=99,prm=1){
# Perform hypothesis testing for a single variable (not a constant) using Bootstrapping
# Input:
# y: dependent variable
# X: matrix of independent variables (including constant if required)
# vtest: which independent/explanatory variable is to be tested for statistical significance
# B: number of Bootstrap replications
# prm: parametric (1) or non-parametric (0) bootstrap
# Output:
# A list that contains the following:
# (1) Regression output (actual data, under H1)
# (2) Value of the respective test statistic, based on actual data
# (3) Empirical distribution function based on boostrapping
# (4) Boostrap p-value
#---------------------------------------------------------------
# Preliminaries
n<-length(y) # Sample Size
k<-ncol(X) # Number of variables (including constant if present)
# Create matrix with variables, excluding the one to be tested for statistical significance
# (Required for Bootstrap DGP)
X1<-X[,-(vtest+1)]
# Estimate Regressions
# Under the alternative (H1): include all independent variables
h1est1<-lm(y~X-1)
# Save summary
h1est_sum<-summary(h1est1)
# Obtain value for test statistic
that<-coef(h1est_sum)[,"t value"][[vtest+1]]
# Under the null hypothesis (H0): exclude variable of interest
h0est1<-lm(y~X1-1)
# Save summary
h0est_sum<-summary(h0est1)
#Save residuals
utilde<-h0est1$residuals
# Create Efficient Residuals
utilde_1<-sqrt(n/(n-k-1))*(utilde-mean(utilde))
# Save coefficients (parameter estimates)
betatilde<-h0est1$coefficients
# Save Residuals Standard Error (estimate for the standard deviation of innovations)
sigmatilde<-h0est_sum$sigma
#----------------------------------------------------------------
# Boostrap Process
# Create vector to store simulated test statistics
tstar<-rep(0,B)
for (b in 1:B){
# Generate dependent variable using the DGP under the null
# Get Innovations
# Parametric (if selected)
if (prm==1){
ustar<-sigmatilde*rnorm(n,0,1)
}
else
# Non-parametric (if selected)
{
ustar<-sample(utilde_1,n,replace=TRUE)
}
# Generate simulated dependent variable
ystar<-ustar
for (j in 1:(k-1)){
ystar<-ystar+X1[,j]*betatilde[[j]]
}
# Estimate Regression
# Under the alternative (H1): include all independent variables
h1est1star<-lm(ystar~X-1)
# Save summary
h1eststar_sum<-summary(h1est1star)
# Obtain value for test statistic
that_temp<-coef(h1eststar_sum)[,"t value"][[vtest+1]]
tstar[b]<-that_temp
}
# Calculate p-value for two-tailed test
pval=sum(rep(1,B)[abs(tstar)>abs(that)])/B
# Return a list with output items
list(regh1res=h1est_sum, that=that,tstar=tstar,pvalue=pval)
}
X<-matrix(c(Variables$dlgdp,Variables$dlypd,Variables$dlhpi,Variables$dldj),,4)
X<-cbind(1:1,X)
y<-matrix(Variables$dlcc,,1)
bootstrap1(y,X,2,B=999,prm=1)


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Money Play. How should Red play 33?
pips Red=95 White=194
(CorrectAnswer= 0/0, ErrorScore= 0)
At a point in time assets become liabilities and when playing against a back game it is crucial to know when to dismantle assets (points).
That is very much the case here. Over the board Red woodenly played 10/7(2), 10/4 but that move is a 2.5 blunder. The correct play is 10/7, 6/3(3)*, dismantling the most difficult home board point, and hopefully giving time to Red to bear in the rest of his checkers.
After that play Red is still not the favourite to win the game although he will come out ahead on equity due the percentage of gammons he wins.
That is very much the case here. Over the board Red woodenly played 10/7(2), 10/4 but that move is a 2.5 blunder. The correct play is 10/7, 6/3(3)*, dismantling the most difficult home board point, and hopefully giving time to Red to bear in the rest of his checkers.
After that play Red is still not the favourite to win the game although he will come out ahead on equity due the percentage of gammons he wins.
1. Cubeful 2-ply 10/7 6/3*(3) Eq.: +0.307 0.517 0.340 0.011 - 0.483 0.083 0.001 2. Cubeful 2-ply 7/4 6/3*(3) Eq.: +0.304 (-0.003) 0.515 0.341 0.011 - 0.485 0.085 0.001 3. Cubeful 2-ply 10/4 7/4 6/3* Eq.: +0.276 (-0.031) 0.497 0.322 0.017 - 0.503 0.101 0.002 4. Cubeful 2-ply 10/7(3) 6/3* Eq.: +0.237 (-0.070) 0.494 0.315 0.014 - 0.506 0.104 0.002 5. Cubeful 2-ply 10/4 10/7(2) Eq.: +0.169 (-0.138) 0.479 0.315 0.013 - 0.521 0.099 0.001


Routing in Angular isn't handled by the core framework in Angular 1.x. Thus, there are several competing libraries that are used for routing. The core team created ngRoute for simple routing needs. For most larger applications, the currently preferred library is ui-router. UI Router uses states instead of routes which allows for more complex behavior such as named, nested and parallel views.
To use UI Router, the ui.router
module must be added to your application's dependencies.
// myrouter-module.js // Create module angular.module('myRoutingModule', ['ui.router']); // mymodule-router.js // Retreive router moduleand configure states angular.module('myRoutingModule') .config(['$stateProvider', '$urlRouterProvider', function($stateProvider, $urlRouterProvider) { 'use strict'; // For any unmatched url, redirect to /home $urlRouterProvider.otherwise("/home"); $stateProvider .state('home', { url: "/home", templateUrl: "home.html" }) .state('about', { url: "/about", templateUrl: "about.html", controller: 'myAboutController', controllerAs: 'myAboutController' }) } ]); //index.html

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{% extends "horizon/common/_modal_form.html" %} {% load i18n %} {% block header %}
{% blocktrans trimmed %} Please capture the application credential ID and secret in order to provide them to your application. {% endblocktrans %}
{% blocktrans trimmed %} The application credential secret will not be available after closing this page, so you must capture it now or download it. If you lose this secret, you must generate a new application credential. {% endblocktrans %}
{% endblock %} {% block modal-footer %} {{ download_openrc_label }} {{ download_clouds_yaml_label }} {% if download_kubeconfig_url %} {{ download_kubeconfig_label }} {% endif %} {{ cancel_label }} {% endblock %}


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| aov {stats} | R Documentation |
Fit an analysis of variance model by a call to lm
for each stratum.
aov(formula, data = NULL, projections = FALSE, qr = TRUE, contrasts = NULL, ...)
formula |
A formula specifying the model. |
data |
A data frame in which the variables specified in the formula will be found. If missing, the variables are searched for in the standard way. |
projections |
Logical flag: should the projections be returned? |
qr |
Logical flag: should the QR decomposition be returned? |
contrasts |
A list of contrasts to be used for some of the factors
in the formula. These are not used for any |
... |
Arguments to be passed to |
This provides a wrapper to lm
for fitting linear models to
balanced or unbalanced experimental designs.
The main difference from lm
is in the way print
,
summary
and so on handle the fit: this is expressed in the
traditional language of the analysis of variance rather than that of
linear models.
If the formula contains a single Error
term, this is used to
specify error strata, and appropriate models are fitted within each
error stratum.
The formula can specify multiple responses.
Weights can be specified by a weights
argument, but should not
be used with an Error
term, and are incompletely supported
(e.g., not by model.tables
).
An object of class c("aov", "lm")
or for multiple responses
of class c("maov", "aov", "mlm", "lm")
or for multiple error
strata of class c("aovlist", "listof")
. There are
print
and summary
methods available for these.
aov
is designed for balanced designs, and the results can be
hard to interpret without balance: beware that missing values in the
response(s) will likely lose the balance. If there are two or more
error strata, the methods used are statistically inefficient without
balance, and it may be better to use lme
in
package nlme.
Balance can be checked with the replications
function.
The default ‘contrasts’ in R are not orthogonal contrasts, and
aov
and its helper functions will work better with such
contrasts: see the examples for how to select these.
The design was inspired by the S function of the same name described in Chambers et al (1992).
Chambers, J. M., Freeny, A and Heiberger, R. M. (1992) Analysis of variance; designed experiments. Chapter 5 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole.
lm
, summary.aov
,
replications
, alias
,
proj
, model.tables
, TukeyHSD
## From Venables and Ripley (2002) p.165. ## Set orthogonal contrasts. op <- options(contrasts = c("contr.helmert", "contr.poly")) ( npk.aov <- aov(yield ~ block + N*P*K, npk) ) summary(npk.aov) coefficients(npk.aov) ## to show the effects of re-ordering terms contrast the two fits aov(yield ~ block + N * P + K, npk) aov(terms(yield ~ block + N * P + K, keep.order = TRUE), npk) ## as a test, not particularly sensible statistically npk.aovE <- aov(yield ~ N*P*K + Error(block), npk) npk.aovE summary(npk.aovE) options(op) # reset to previous