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--- layout: minimal title: "About me" permalink: /about/index.html description: "Some description about Victor Igor..." ---


| Bancroft et al. (
2016)
|
Fort Benning, Georgia, USA |
2100 |
Breeding |
Collected |
2,500 m
2
|
CCSM3, CGCM3.1, UKMO‐HadleyCM3 |
B1, A1B, and A2 |
1 |
D |
| Foden et al. (
2013)
|
Global |
NA |
NA |
Expert Opinion |
NA |
NA |
NA |
22 |
NA |
| Langham et al. (
2015)
|
United States and Canada |
2100 |
Breeding/Nonbreeding |
BBS and CBC |
100 km
2
|
CCCMA‐CGCM3.1T47, CSIRO‐Mk3.0, IPSL‐CM4, MPI‐ECHAM5, NCAR‐CCSM3.0, UKMO‐HadleyCM3, UKMO‐HadleyGEM1, NIES |
B2, A1B, and A2 |
22 |
B |
| Matthews et al. (
2011)
|
Eastern United States (east of the 100th meridian) |
2100 |
Breeding |
BBS |
400 km
2
|
HadleyCM3, GFDL CM2.1, PCM |
B1 and A1 fi |
5 |
D |
| Rodenhouse et al. (
2008)
|
Northeast United States |
2100 |
Breeding |
BBS |
400 km
2
|
HadleyCM3, GFDL CM2.1, PCM |
B2 and A1 fi |
5 |
B |
| Ralston and Kirchman (
2013)
|
New York, Vermont, and New Hampshire, USA |
2080 |
Breeding |
ORNIS and GBIF |
NR |
HadleyCM3 |
B2 and A2 |
2 |
B |
| Tremblay et al. (
2018)
|
Eastern Canada |
2100 |
Breeding |
Previous Research |
250 m
2
|
CanESM2 |
RCP 2.6, 4.5, and 8.5 |
1 |
D |


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Anywhere But Here A film review by Marty Mapes Copyright 1999 Marty Mapes
*** (out of 4) ANYWHERE BUT HERE has its share of flaws, but it has a good clear sense of emotion. That probably makes it a chick flick, but as chick flicks go, this one is very successful.
When I say that it has a clear sense of emotion, I mean that at every point, the characters' emotions are real, well-expressed, and relevant. I think it's worth mentioning because in other movies, the emotion is often dictated by the plot. A character reacts, not they way they really should react, but the way that the screenwriter needs them to. Not so in this movie.
A quick example: After a fight with her mother, Ann (Natalie Portman) is left on the side of the road and mom drives off. Her first reaction is to storm off in the opposite direction. When mom doesn't immediately return, Ann starts to look worried, sad, and self-pitying.  It shows the movie's solid, astute sense of how people feel and behave.
But I'm ahead of myself.
ANYWHERE BUT HERE follows the story of a mother and daughter (Susan Sarandon and Portman). They drive their no-longer new, gold Mercedes from Wisconsin to California. They've left their old lives behind in order to set up new ones on the west coast.
Adele (Sarandon) is satisfied and joyful at getting away from small town life. She's very optimistic about living in California, perhaps a little na´vely so. She is certain she will get a job teaching in L.A. and that they will get a nice but affordable place in Beverly Hills, where Ann will go to school. She also knows that Ann will make a beautiful child actress, and that they will be the best of friends in their new home in paradise.
Ann is often sullen and occasionally rebellious. She's not sure why they had to leave Wisconsin, and she doesn't entirely approve of her mother's behavior (although she doesn't know quite how to express it yet). She doesn't share her mother's optimism about the move. That's not to say she's cynical, but she is more realistic about what they have given up and what they have yet to gain. To top it all off, she has no interest in becoming an actress.
Both Sarandon and Portman give very good, precise performances. Both had a great sense of character that seemed to jibe with Wang's ideas of how the movie should play. Their "chemistry" is hard to judge because their characters weren't supposed to get along -- the inevitable friction between mother and daughter defines most of their moments together -- but the scenes of them together felt right on target.
For a while, the movie looks like SLUMS OF BEVERLY HILLS from last year, in which the family moves in and out of cheap apartments, always staying just inside the school district. Adele and Ann's apartments are neither big nor glamorous, nor well-furnished. Sometimes Adele forgets to pay the bills and the apartment goes completely dark. Technically, they are living Adele's dream, but only Ann has the perspective to see that it's a pretty bad life.
A contrived plot device brings them back to Wisconsin, where Ann gets a fresh perspective on their troubled life in California, and on her images of home. "The streets are less wide, the trees are less tall and the house is smaller," intones Ann in voiceover. Ann never thought of California as home, but now, after returning, she realizes that "home" isn't Wisconsin, either. "Home" is nowhere. That realization is both frightening and liberating. It forces her (and to some extent her mom) to find some roots within herself.
When they return to California, they get a new apartment with nice furniture. They pick a color and paint their rooms. They are still poor, but they choose to make their surroundings permanent and stable. Although mom and daughter still fight, it seems more relaxing, now that they're not transient.
The emotional conflict between mother and daughter builds, but never to too-exaggerated heights. Their differences finally reach a relatively cool boiling point, and the movie comes to it's predictable but satisfying conclusion.
What's important to a chick flick -- emotion -- is what works best in ANYWHERE BUT HERE. Even the man next to me said when it was over, "that's not really my type of movie but it was better than I expected."
Check out more curreX-Mozilla-Status: 0009tp://www.moviehabit.com
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Red: Collegiate college culture such as University of Texas, Duke, Northwestern, Georgetown, Penn State, Vanderbilt, or smaller and collegiate such as Colgate, Denison, and Wake Forest. A college culture where you will find big sports, fraternities, and where you will talk about sports, parties, and friends between classes and in the dorms.
Blue: Intellectual college culture such as Carleton, Chicago, Grinnell, Pomona, and Swarthmore where you and your friends will spend your time talking about books you’ve read, where you will continue your discussions from class, argue and debate about academics, politics, and economics.
Teal: Creative college culture for design and performing arts majors such as conservatories Julliard and Oberlin or design schools such as Rhode Island School of Design, Savannah School of Arts and Design where you and your friends will talk and sing between classes and in the dorms about the arts, practice sessions, gallery openings, fashion and upcoming performances.
Gold: Preprofessional college culture where you and your friends talk between classes and in the dorms about GPAs, MCATs, GREs, LSATs, M.B.A.’s, start-up companies, Steve Jobs, the global economy, medical and law school, business, engineering and architecture schools, such as Cornell, Purdue, UNC, Stanford, Wharton, MIT, Berkeley,University of Illinois, and Carnegie Mellon.
Green: Activist college culture where your friends and you will protest, organize, demonstrate, boycott, and talk about human rights, animal rights, environmental, and climate issues between classes, in the dorms, and on the quad such as Grinnell, Haverford, Oberlin, Pitzer, and Wesleyan.


Class ArucoCameraCalibration
Calibrates a ArucoCamera with a ArucoBoard and saves the calibrated camera parameters in a file managed by ArucoCameraParametersController. Base class to reference in editor fields.
See the OpenCV and the ArUco module documentations for more information about the calibration process: http://docs.opencv.org/3.3.0/da/d13/tutorial_aruco_calibration.html and https://docs.opencv.org/3.3.0/da/d13/tutorial_aruco_calibration.html
Inheritance
Inherited Members
Namespace: ArucoUnity.Calibration
Assembly: Assembly-CSharp.dll
Syntax
public abstract class ArucoCameraCalibration : ArucoObjectDetector, IArucoCameraController, IConfigurableController, IHasDetectorParameter
Fields
| Improve this Doc View SourceapplicationPath
Declaration
protected string applicationPath
Field Value
| Type | Description |
|---|---|
| System.String |
calibratingException
Declaration
protected Exception calibratingException
Field Value
| Type | Description |
|---|---|
| System.Exception |
calibratingMutex
Declaration
protected Mutex calibratingMutex
Field Value
| Type | Description |
|---|---|
| System.Threading.Mutex |
calibratingThread
Declaration
protected Thread calibratingThread
Field Value
| Type | Description |
|---|---|
| System.Threading.Thread |
Properties
| Improve this Doc View SourceAllMarkerCorners
Gets the detected marker corners for each camera.
Declaration
public Std.VectorVectorVectorPoint2f[] AllMarkerCorners { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorVectorVectorPoint2f[] |
AllMarkerIds
Gets the detected marker ids for each camera.
Declaration
public Std.VectorVectorInt[] AllMarkerIds { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorVectorInt[] |
CalibrationBoard
Gets or sets the ArUco board to use for calibration.
Declaration
public ArucoBoard CalibrationBoard { get; set; }
Property Value
| Type | Description |
|---|---|
| ArucoBoard |
CalibrationFlags
Gets or sets the flags for the cameras calibration.
Declaration
public CalibrationFlags CalibrationFlags { get; set; }
Property Value
| Type | Description |
|---|---|
| CalibrationFlags |
CalibrationRunning
Gets if CalibrateAsync() has been called and hasn't completed yet.
Declaration
public bool CalibrationRunning { get; protected set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
CameraParametersController
Gets or sets the camera parameters to use if UseIntrinsicGuess is true. Otherwise, the camera parameters file will be generated from the camera name and the calibration datetime.
Declaration
public ArucoCameraParametersController CameraParametersController { get; set; }
Property Value
| Type | Description |
|---|---|
| ArucoCameraParametersController |
Images
Gets the images to use for the calibration.
Declaration
public Std.VectorMat[] Images { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorMat[] |
IsCalibrated
Gets if the last CalibrateAsync() call has been a success.
Declaration
public bool IsCalibrated { get; protected set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
MarkerCorners
Gets the detected marker corners on the current images of each camera.
Declaration
public Std.VectorVectorPoint2f[] MarkerCorners { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorVectorPoint2f[] |
MarkerIds
Gets the detected marker ids on the current images of each camera.
Declaration
public Std.VectorInt[] MarkerIds { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorInt[] |
RefineMarkersDetection
Gets or sets if need to use a refine algorithm to find not detected markers based on the already detected and the board layout.
Declaration
public bool RefineMarkersDetection { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Rvecs
Gets the estimated rotation vector for each detected markers in each camera.
Declaration
public Std.VectorVec3d[] Rvecs { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorVec3d[] |
Tvecs
Gets the estimated translation vector for each detected markers in each camera.
Declaration
public Std.VectorVec3d[] Tvecs { get; protected set; }
Property Value
| Type | Description |
|---|---|
| Std.VectorVec3d[] |
Methods
| Improve this Doc View SourceAddImages()
Adds the current images of the cameras and the detected corners for the calibration.
Declaration
public virtual void AddImages()
ArucoCamera_ImagesUpdated()
Detects and draw the ArUco markers on the current images of the cameras.
Declaration
protected virtual void ArucoCamera_ImagesUpdated()
Calibrate()
Calibrates each mono camera in ArucoCamera using the detected markers added with AddImages(), the ArucoCameraParameters, the ArucoCameraUndistortion and save the results on a calibration file. Stereo calibrations will be additionally executed on these results for every camera pair.
Declaration
public virtual void Calibrate()
Calibrate(Std.VectorVectorPoint2f[], Std.VectorVectorPoint3f[])
Applies a calibration to the ArucoCamera, set the extrinsic camera parameters to Rvecs and Tvecs and saves the camera parameters in CameraParameters.
Declaration
protected abstract void Calibrate(Std.VectorVectorPoint2f[] imagePoints, Std.VectorVectorPoint3f[] objectPoints)
Parameters
| Type | Name | Description |
|---|---|---|
| Std.VectorVectorPoint2f[] | imagePoints | The detected image points of each camera. |
| Std.VectorVectorPoint3f[] | objectPoints | The corresponding object points of each camera. |
CalibrateAsync()
Calls Calibrate() in a background thread.
Declaration
public virtual void CalibrateAsync()
CancelCalibrateAsync()
Stops the calibration if CalibrationRunning is true.
Declaration
public virtual void CancelCalibrateAsync()
Configuring()
Checks if CalibrationBoard is set and calls ResetCalibration().
Declaration
protected override void Configuring()
Overrides
| Improve this Doc View SourceDetectMarkers()
Detects the Aruco markers on the current images of the cameras and store the results in the MarkerCorners and MarkerIds properties.
Declaration
public virtual void DetectMarkers()
DrawDetectedMarkers()
Draws the detected ArUco markers on the current images of the cameras.
Declaration
public virtual void DrawDetectedMarkers()
InitializeCameraParameters()
Initializes and configure the CameraParameters.
Declaration
protected virtual void InitializeCameraParameters()
LateUpdate()
Calls the Calibrated event when a calibration has just completed.
Declaration
protected virtual void LateUpdate()
ResetCalibration()
Resets the properties.
Declaration
public virtual void ResetCalibration()
Starting()
Susbcribes to UndistortRectifyImages.
Declaration
protected override void Starting()
Overrides
| Improve this Doc View SourceStopping()
Unsusbcribes from UndistortRectifyImages.
Declaration
protected override void Stopping()
Overrides
Events
| Improve this Doc View SourceCalibrated
Called when IsCalibrated is set to true.
Declaration
public event Action Calibrated
Event Type
| Type | Description |
|---|---|
| System.Action |


White to play 12
pips White=167 Black=160
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 13/11 6/5 eq: -0.160 46.90% (G:12.96% B:0.66%) 53.10% (G:18.42% B:1.32%) 2. 24/23 13/11 eq: -0.224 (-0.065) 45.26% (G:12.11% B:0.60%) 54.74% (G:18.19% B:0.82%) 3. 13/10 eq: -0.251 (-0.092) 44.42% (G:11.98% B:0.60%) 55.58% (G:18.33% B:1.05%) 4. 24/22 6/5 eq: -0.262 (-0.102) 45.06% (G:11.01% B:0.51%) 54.94% (G:19.65% B:1.06%) 5. 24/23 6/4 eq: -0.262 (-0.103) 44.27% (G:11.04% B:0.53%) 55.73% (G:19.64% B:1.06%)


ASESSE
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April 11
It's Not Over Till It's Over
Withstand (the devil); be firm in faith [against his onset] rooted, established, strong, immovable, and determined knowing that the same (identical) sufferings are appointed to your brotherhood (the whole body of Christians) throughout the world. And after you have suffered a little while, the God of all grace...will Himself complete and make you what you ought to be, establish and ground you securely, and strengthen (and settle) you. 1 Peter 5:9-10
No matter how long you've been living by faith, no matter how much you've learned about it, every once in a while you may suffer a setback. You may run into some circumstances that just don't turn out the way you expected.
If that happens, remember this: Those setbacks are just temporary. You may have lost a battle, but you're not going to lose the war. Just get up and go at it again.
"But I don't understand it," you say. "I did the best I could. I walked in all the truth Iknewto walk in. Why didn't I get the victory?"
Because there was something you didn't know! It shouldn't shock you too much that there are things you don't know about the realm of the spirit. Ken and I have been in the ministry for over 20 years. We've spent untold hours in the Word. Yet it seems like the more we learn, the more we realize we don't know.
So, when we get to a situation where we can't seem to get victory, we have to ask
God for more wisdom. If you'll look in 2 Samuel 21, you can see a time when King David had to do that. His country had been suffering from a famine for three years and David just didn't understand it, so he inquired of the Lord. The Lord told him the famine had come because of something Saul had done! Isn't that amazing? Saul had been dead for years, yet what he'd put in motion in the realm of the spirit was still affecting his country.
David could have just given up when his usual confessions of faith and ways of praying didn't drive out that famine, but he didn't. He inquired of God for more wisdom. He used his temporary setback to cause him to seek more knowledge from God.
Follow his example! Overcome the habit of quitting because of temporary setbacks. Refuse to let them knock you out of the game. After all, this thing's not over till it's over. And the Bible says when it's all over, you'll have won. So just be steadfast in your faith. In the end your victory is guaranteed.
Scripture Reading: 2 Samuel 21:1-6


The Eco Lab graph library is a library providing a simple and lightweight structure for representing graphs (aka networks). A graph consists of a set of nodes labelled , and a set of edges , which have an optional weight factor attached.
struct Edge: public std::pair<unsigned,unsigned> { unsigned source(); unsigned target(); float weight; };
The abstract Graph interface has the following definition:
struct Graph { struct const_iterator { Edge operator*() const; const Edge* operator->() const; const_iterator& operator++(); bool operator==(const const_iterator& x) const; bool operator!=(const const_iterator& x) const; }; virtual const_iterator begin() const; virtual const_iterator end() const; virtual unsigned nodes() const; virtual unsigned links() const; virtual void push_back(const Edge& e); virtual bool contains(const Edge& e) const; virtual bool directed() const; virtual void clear(unsigned nodes=0); const Graph& operator=(const Graph& x); void input(const std::string& format, const std::string& filename); void output(const std::string& format, const std::string& filename) const; template <class BG> Graph_back_insert_iterator<Graph,BG> back_inserter(const BG& bg); }
The begin/end
methods allow one to iterate over the edges. Only a const_iterator
is supplied, as it is an error to change the value of an edge. One can
only reset a graph to the empty graph via clear, and construct the
graph incrementally using the push_back()
method.
The contains
method allows one to test whether a given edge is
in the graph, and directed
indicates whether the underlying graph
structure has directed edges or not. A bidirectional graph otherwise
appears as a directed graph where each edge appears twice, once for
each direction.
The input/output methods allow for the graph to be read/written from/to a file, in a variety of formats, given by the format parameter. Currently, the following formats are supported:
| name | description |
| pajek | Pajek's .net format |
| lgl | LGL's .lgl format |
| dot | Graphviz format |
| gengraph | Gengraph |
models/netcomplexity_scripts
directory.
back_inserter
creates an output iterator suitable for use with
Boost Graph algorithms. As a simple example, to construct an Eco Lab
graph from a Boost Graph, do
std::pair<BG::edge_iterator,BG::edge_iterator> r=edges(bg); ConcreteGraph<DiGraph> g1; copy(r.first, r.second, g1.back_inserter(bg));
This interface can be used in both a dynamic polymorphism fashion (ie Graph is an abstract base class) and in a static polymorphism fashion.
The graph.h
header file provides two concrete graph types -
DiGraph and BiDirectionalGraph, which differ just in whether each edge
is directed or not.


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<IP_ADDRESS> is one of many private IP addresses provided.
Learn how to use SSH via the command line to jump to different
levels.
Understanding Secure Shell encryption will help you complete this first task.
IMPORTANT NOTE: Every stop of the journey after the NAT instanc eocnatins a file named "secret". This contains the secret code you should enter into cloud.edurange.org for each stop along the way.
To view the contents of the file:
Utilizing and deciphering man pages inside the command line will be an essential skill to complete these challenges.
To find detailed instructions about each command, type "man " where "command" is the command you wish to learn more about.
Try typing "man ssh"
... and you should see something like this.
Underneath the Synopsis is a list of different flags and options you can enter with each command. A flag is a letter with a "-" in front. Each flag provides options to help specify the needs of your task.
Some examples commands using flags:
Can you figure out what these commands mean?
Are there any helpful flags or options on the ssh man page, perhaps relating to ports?
It looks like we need to login to a new IP in our subnet.
Is there a way to perform a scan of our subnetwork to see what IP addresses are available? Maybe an nmap scan will be helpful?
Again, let's look underneath the Synopsis. It looks like we can use the command nmap followed by the target we wish to scan.
What is our target? The subnet, or in other words your local network. Hint: we revealed it in the NAT instance message!
After this command, can you tell what you're looking at? A list of all the IP addresses in your subnet along with information about the services they provide and the status of those services.
Find an IP that's a few addresses higher than your current address. Login using SSH.
(Hint: If you don't know or you forgot your current IP address, you can always type ifconfig to see your current IP)
Use the list command to see all accessible files in your current directory. Check the contents of id_rsa using vim or cat. What are you looking at?
Having a foundational understanding of RSA encryption will be helpful to understand how you will get to the next stop.
Let's go back to the SSH man page.
You can search a man page by typing / and then the keyword you're searching for. Typing N will take you to the next search result.
Maybe there is a flag that will allow you to pass a file containing a private key to the next ip address?
(Hint: perform another nmap scan of the subnet to find the next IP address)
There are a few different commands for searching your local file system.
Grep, locate and find.
It's time to skim these man pages and start some searches of the file system. There are a few different ways to find the file we're looking for.
The find command is good if you are looking for a file of a particular name or file type. The grep command has many more possibilities and options to create specific searches. It's better for searching for a specific pattern or keyword.
The file containing the password to the next level is clearly marked. What keywords might be in the name of that file?
Ok, so you found the password and the next IP address, you used an nmap scan to find the next IP ... but when you try to login, you are blocked.
Is there another IP address you can SSH from?
FTP, or File Transfer Protocol, is a standard way to securely move files in a network. From your current address, you will connect to this FTP server which is hosted by another IP on your subnet. Make sure to look at the FTP man page for more information.
Again, scan the local network using nmap.
The decryptpassword file is encrypted. Run the file like this:
Use the IP address you received from the FTP server and the password you recieved from running decryptpassword to get to the Fifth Stop.
Start by looking at the helpful commands. There's one you haven't seen in this exercise before.
Use that command to perform an in depth search of the man pages using a keyword that will help you decode the file.
(HINT: try a few of the different commands returned in your search. Read their man pages carefully and see if any flags or options will be helpful. You will know you successfully decoded betcha_cant_read_me when you see the directions to the next stop printed on your console.)
During your nmap scans, do you remember seeing any hosts that looked .... sinister?
If you don't recall, perform another scan. If you're brave, try using ssh and with a port specification to enter the palace.
Let's go back to the SSH man page.
Look carefully at all the flags and options under Synopsis. The last two are pertinent to our task.
This is a good opportunity to prove you understand how to use flags and options found on the man pages.
So you found the secret..... It's gibberish. It doesn't make any sense.
Perhaps we have to decode again?
Let's consider a classic form of ciphering.
It would be an awful lot of work to figure out what rotation this has been encrypted with. Let's just use one of the many decyphering tools online.
Once your SSH Master title has been earned, submit your proof inside your browser opened to cloud.edurange.org!


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BOTANICAL
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in
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and
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Level of confidence that token is an accurately-transcribed word
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--- layout: tutorial redirect_from: "/edge/custom_argument_matcher.html" file_name: custom_argument_matcher order: ---
|
Jasmine provides a number of asymmetric matchers out of the box for use in comparing argument values and equality. If you want to make your own to encapsulate some other logic you can. |
|
|
Creator function similar to |
function myChecker(someState) {
return {
|
|
This is called by Jasmine's equality function with the object being compared. |
asymmetricMatch: function(compareTo) {
return compareTo.myState === someState;
},
|
|
Custom stringification for Jasmine pretty printer. Used in failure messages. |
jasmineToString: function() {
return '<myChecker: ' + someState '>';
}
}
}
|
|
You can then use it in an expectation |
expect(mySpy).toHaveBeenCalledWith(myChecker('stuff'));
expect({myState: 'things'}).toEqual(myChecker('things'));
|


Oligo Professionnel Graphic Design Position
I have a strong passion for design in the industry of Interactive Media Development and always put in lots of effort to strive for the best possible pieces of work.
Assets I bring to the job?
Program Knowledge:
Adobe Creative Suite, 3ds Max, Maya, Javascript, HTML and CSS
Strongest Skill?
My strongest skills would be graphic design and web development as I have a strong passion to design.
I look forward to hearing from Oligo Professionnel and my work can be sought out on
www.Mattballentine.com.
Thank you for your time.


A B C D E F G H I L M N P R S U V W
| anova | LRT test |
| anova-method | Class For Representing A (Fitted) Latent Variable Model |
| bootstrapLavaan | Bootstrapping a Lavaan Model |
| bootstrapLRT | Bootstrapping a Lavaan Model |
| cfa | Fit Confirmatory Factor Analysis Models |
| cfaList | Fit List of Latent Variable Models |
| char2num | Utility Functions For Covariance Matrices |
| coef-method | Class For Representing A (Fitted) Latent Variable Model |
| coef-method | Class For Representing A List of (Fitted) Latent Variable Models |
| cor2cov | Utility Functions For Covariance Matrices |
| Demo.growth | Demo dataset for a illustrating a linear growth model. |
| Demo.twolevel | Demo dataset for a illustrating a multilevel CFA. |
| estfun.lavaan | Extract Empirical Estimating Functions |
| FacialBurns | Dataset for illustrating the InformativeTesting function. |
| fitindices | Fit Measures for a Latent Variable Model |
| fitMeasures | Fit Measures for a Latent Variable Model |
| fitmeasures | Fit Measures for a Latent Variable Model |
| fitMeasures-method | Fit Measures for a Latent Variable Model |
| fitmeasures-method | Fit Measures for a Latent Variable Model |
| fitted-method | Class For Representing A (Fitted) Latent Variable Model |
| fitted.values-method | Class For Representing A (Fitted) Latent Variable Model |
| getCov | Utility Functions For Covariance Matrices |
| growth | Fit Growth Curve Models |
| HolzingerSwineford1939 | Holzinger and Swineford Dataset (9 Variables) |
| InformativeTesting | Testing order/inequality Constrained Hypotheses in SEM |
| informativetesting | Testing order/inequality Constrained Hypotheses in SEM |
| inspect | Inspect or extract information from a fitted lavaan object |
| inspectSampleCov | Observed Variable Correlation Matrix from a Model and Data |
| lavaan | Fit a Latent Variable Model |
| lavaan-class | Class For Representing A (Fitted) Latent Variable Model |
| lavaanify | The Lavaan Model Syntax |
| lavaanList | Fit List of Latent Variable Models |
| lavaanList-class | Class For Representing A List of (Fitted) Latent Variable Models |
| lavaanNames | lavaan Names |
| lavCor | Polychoric, polyserial and Pearson correlations |
| lavExport | lavaan Export |
| lavImport | mplus to lavaan converter |
| lavInspect | Inspect or extract information from a fitted lavaan object |
| lavListInspect | Inspect or extract information from a lavaanList object |
| lavListTech | Inspect or extract information from a lavaanList object |
| lavLRT | LRT test |
| lavLRTTest | LRT test |
| lavMatrixRepresentation | lavaan matrix representation |
| lavNames | lavaan Names |
| lavOptions | lavaan Options |
| lavoptions | lavaan Options |
| lavParseModelString | The Lavaan Model Syntax |
| lavParTable | The Lavaan Model Syntax |
| lavPartable | The Lavaan Model Syntax |
| lavpartable | The Lavaan Model Syntax |
| lavPredict | Predict the values of latent variables (and their indicators). |
| lavpredict | Predict the values of latent variables (and their indicators). |
| lavResidual | Residuals |
| lavResiduals | Residuals |
| lavScores | Extract Empirical Estimating Functions |
| lavScoreTest | Score test |
| lavTables | lavaan frequency tables |
| lavTablesFitCf | Pairwise maximum likelihood fit statistics |
| lavTablesFitCm | Pairwise maximum likelihood fit statistics |
| lavTablesFitCp | Pairwise maximum likelihood fit statistics |
| lavTech | Inspect or extract information from a fitted lavaan object |
| lavTestLRT | LRT test |
| lavtestLRT | LRT test |
| lavTestScore | Score test |
| lavtestscore | Score test |
| lavTestWald | Wald test |
| lavtestwald | Wald test |
| lavWaldTest | Wald test |
| lav_constraints_parse | Utility Functions: Constraints |
| lav_data_update | lavaan data functions |
| lav_func_gradient_complex | Utility Functions: Gradient and Jacobian |
| lav_func_gradient_simple | Utility Functions: Gradient and Jacobian |
| lav_func_jacobian_complex | Utility Functions: Gradient and Jacobian |
| lav_func_jacobian_simple | Utility Functions: Gradient and Jacobian |
| lav_matrix_antidiag_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_bdiag | Utility Functions: Matrices and Vectors |
| lav_matrix_commutation | Utility Functions: Matrices and Vectors |
| lav_matrix_commutation_mn_pre | Utility Functions: Matrices and Vectors |
| lav_matrix_commutation_pre | Utility Functions: Matrices and Vectors |
| lav_matrix_cov | Utility Functions: Matrices and Vectors |
| lav_matrix_diagh_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_diag_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_ginv | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_ginv_post | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_ginv_pre | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_ginv_pre_post | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_post | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_pre | Utility Functions: Matrices and Vectors |
| lav_matrix_duplication_pre_post | Utility Functions: Matrices and Vectors |
| lav_matrix_lower2full | Utility Functions: Matrices and Vectors |
| lav_matrix_orthogonal_complement | Utility Functions: Matrices and Vectors |
| lav_matrix_symmetric_sqrt | Utility Functions: Matrices and Vectors |
| lav_matrix_trace | Utility Functions: Matrices and Vectors |
| lav_matrix_upper2full | Utility Functions: Matrices and Vectors |
| lav_matrix_vec | Utility Functions: Matrices and Vectors |
| lav_matrix_vech | Utility Functions: Matrices and Vectors |
| lav_matrix_vechr | Utility Functions: Matrices and Vectors |
| lav_matrix_vechru | Utility Functions: Matrices and Vectors |
| lav_matrix_vechru_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vechru_reverse | Utility Functions: Matrices and Vectors |
| lav_matrix_vechr_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vechr_reverse | Utility Functions: Matrices and Vectors |
| lav_matrix_vechu | Utility Functions: Matrices and Vectors |
| lav_matrix_vechu_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vechu_reverse | Utility Functions: Matrices and Vectors |
| lav_matrix_vech_col_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vech_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vech_reverse | Utility Functions: Matrices and Vectors |
| lav_matrix_vech_row_idx | Utility Functions: Matrices and Vectors |
| lav_matrix_vecr | Utility Functions: Matrices and Vectors |
| lav_model_get_parameters | lavaan model functions |
| lav_model_implied | lavaan model functions |
| lav_model_set_parameters | lavaan model functions |
| lav_model_vcov_se | lavaan model functions |
| lav_partable_add | lavaan partable functions |
| lav_partable_attributes | lavaan partable functions |
| lav_partable_complete | lavaan partable functions |
| lav_partable_constraints_ceq | Utility Functions: Constraints |
| lav_partable_constraints_ciq | Utility Functions: Constraints |
| lav_partable_constraints_def | Utility Functions: Constraints |
| lav_partable_df | lavaan partable functions |
| lav_partable_from_lm | lavaan partable functions |
| lav_partable_independence | lavaan partable functions |
| lav_partable_labels | lavaan partable functions |
| lav_partable_merge | lavaan partable functions |
| lav_partable_ndat | lavaan partable functions |
| lav_partable_npar | lavaan partable functions |
| lav_partable_unrestricted | lavaan partable functions |
| lav_samplestats_from_data | lavaan samplestats functions |
| logLik-method | Class For Representing A (Fitted) Latent Variable Model |
| LRT | LRT test |
| model.syntax | The Lavaan Model Syntax |
| modificationIndices | Modification Indices |
| modificationindices | Modification Indices |
| modindices | Modification Indices |
| mplus2lavaan | mplus to lavaan converter |
| mplus2lavaan.modelSyntax | Convert Mplus model syntax to lavaan |
| nobs | Class For Representing A (Fitted) Latent Variable Model |
| nobs-method | Class For Representing A (Fitted) Latent Variable Model |
| parameterEstimates | Parameter Estimates |
| parameterestimates | Parameter Estimates |
| parameterTable | Parameter Table |
| parametertable | Parameter Table |
| parseModelString | The Lavaan Model Syntax |
| parTable | Parameter Table |
| partable | Parameter Table |
| plot.InformativeTesting | Methods for output InformativeTesting() |
| PoliticalDemocracy | Industrialization And Political Democracy Dataset |
| predict-method | Class For Representing A (Fitted) Latent Variable Model |
| print.InformativeTesting | Methods for output InformativeTesting() |
| resid-method | Class For Representing A (Fitted) Latent Variable Model |
| residuals-method | Class For Representing A (Fitted) Latent Variable Model |
| Score | Score test |
| score | Score test |
| sem | Fit Structural Equation Models |
| semList | Fit List of Latent Variable Models |
| show-method | Class For Representing A (Fitted) Latent Variable Model |
| simulateData | Simulate Data From a Lavaan Model Syntax |
| standardizedSolution | Standardized Solution |
| standardizedsolution | Standardized Solution |
| summary-method | Class For Representing A (Fitted) Latent Variable Model |
| summary-method | Class For Representing A List of (Fitted) Latent Variable Models |
| update-method | Class For Representing A (Fitted) Latent Variable Model |
| variableTable | Variable Table |
| variabletable | Variable Table |
| varTable | Variable Table |
| vartable | Variable Table |
| vcov-method | Class For Representing A (Fitted) Latent Variable Model |
| Wald | Wald test |
| wald | Wald test |


Hello and a very warm welcome to you on the other side of this page.
Singapore is a safe and peaceful country, with a web of diverse interconnected food culture and well established infrastructure.
Whether you are looking for a scenic and peaceful home or an upbeat office space, there is bound to be the right establishment for you. With my years of experience and wealth of contacts, do allow me the chance to show you your dream location!
Interested in any of the properties in the list above?
Feel free to give me a note and we can work on something more focused to your needs.
Senior Marketing Director


Welcome to BuildCraft on GitHub
Reporting an issue
Please open an issue for a bug report only if:
- you are sure the bug is caused by BuildCraft and not by any other mod,
- you have at least one of the following:
- a crash report,
- means of reproducing the bug in question,
- screenshots/videos/etc. to demonstrate the bug.
If you are not sure if a bug report is valid, please use the "Ask Help!" subforum.
Please only use official BuildCraft releases for any kind of bug reports unless otherwise told to do by the BuildCraft team. Custom builds (for instance from Jenkins) are unsupported, often buggy and will not get any support from the developers.
Please check if the bug has been reported beforehand. Also, provide the version of BuildCraft used - if it's a version compiled from source, link to the commit/tree you complied from.
Please mention if you are using MCPC+, Cauldron, OptiFine, FastCraft or any other mods which optimize or otherwise severely modify the functioning of the Minecraft engine. That is very helpful when trying to reproduce a bug.
Please do not open issues for features unless you are a member of the BuildCraft team. For that, use the "Feature Requests" subforum.
BuildCraft, being an open-source project, gives you the right to submit a pull request if a particular fix or feature is important to you. However, if the change in question is major, please contact the team beforehand - we wish to prevent wasted effort.
Contributing
If you wish to submit a pull request to fix bugs or broken behaviour feel free to do so. If you would like to add features or change existing behaviour or balance, please discuss it on discord before submitting a PR (https://discord.gg/v4geqgA).
Do not submit pull requests which solely "fix" formatting. As these kinds of changes are usually very intrusive in commit history and everyone has their own idea what "proper formatting" is, they should be done by one of the main contributors. Please only submit "code cleanup", if the changes actually have a substantial impact on readability.
PR implementing new features or changing large portions of code are helpful. But if you're doing such a change and if it gets accepted, please don't "fire and forget". Complex changes are introducing bugs, and as thorough as testing and peer review may be, there will be bugs. Please carry on playing your changes after initial commit and fix residual issues. It is extremely frustrating for others to spend days fixing regressions introduced by unmaintained submissions.
Frequently reported
- java.lang.AbstractMethodError, java.lang.NoSuchMethodException
- A mod has not updated to the current BuildCraft API
- You are not using the correct version of BuildCraft for your Forge/Minecraft versions
- You are using the dev version on a normal game instance (or vice versa)
- Render issue (Quarry causes flickering) - Try without OptiFine first! This is a known issue with some versions of OptiFine.
Compiling and packaging BuildCraft
- Optional: Install
Gradle
(found here)
- Create a base directory for the build
- Clone the BuildCraft repository into 'baseDir/BuildCraft/'
- Clone (and update) the submodules into 'baseDir/BuildCraft with 'git submodule init' and 'git submodule update'
- Navigate to basedir/BuildCraft in a shell and run one of two commands:
gradlew setupCIWorkspace build
to just build a current jar (this may take a while).gradlew setupDecompWorkspace
to setup a complete development environment.- With
Gradle
installed: usegradle
instead ofgradlew
- On Windows: use
gradlew.bat
instead ofgradlew
- The compiles and obfuscated module jars will be in 'baseDir/BuildCraft/build/libs/<build number>/modules'
Your directory structure should look like this before running gradle:
baseDir
\- BuildCraft
|- buildcraft_resources
|- common
|- ...
\- BuildCraftAPI
|- api
|- ...
\- BuildCraft-Localization
|- lang
|- ...
And like this after running gradle:
basedir
\- BuildCraft
|- .gradle
|- build
|- buildcraft_resources
|- common
|- ...
\- BuildCraftAPI
|- api
|- ...
\- BuildCraft-Localization
|- lang
|- ...
Localizations
Localizations can be submitted here. Localization PRs against this repository will have to be rejected.
Depending on BuildCraft
Instructions for depending on BC 7.1.x can be found here (for 1.7.10).
8.0.x hasn't been finished yet, so there are no instructions for depending on it :(
The following instructions are for BC 7.99.12 (1.12.2):
Add the following to your build.gradle file:
repositories {
maven {
name "BuildCraft"
url = "https://mod-buildcraft.com/maven"
}
}
If you want to depend on JUST the API then do this:
dependencies {
deobfCompile "com.mod-buildcraft:buildcraft-api:7.99.12"
}
If you want to depend on JUST the lib then do this:
dependencies {
deobfCompile "com.mod-buildcraft:buildcraft-lib:7.99.12"
}
If you want to depend on the whole of buildcraft do this:
dependencies {
deobfCompile "com.mod-buildcraft:buildcraft:7.99.12"
}
Where 7.99.12
is the desired version of BuildCraft.


--- layout: default title: Install · The Rust Programming Language ---
The current stable release of Rust, updated every six weeks and backwards-compatible.
An easy way to install the stable binaries for Linux and Mac is to run this in your shell:
$ curl -sSf https://static.rust-lang.org/rustup.sh | sh
A beta of the upcoming stable release, intended for testing by crate authors. Updated as needed.
An easy way to install the beta binaries for Linux and Mac is to run this in your shell:
$ curl -sSf https://static.rust-lang.org/rustup.sh | sh -s -- --channel=beta
The current development branch. It includes unstable features that are not available in the betas or stable releases.
An easy way to install the nightly binaries for Linux and Mac is to run this in your shell:
$ curl -sSf https://static.rust-lang.org/rustup.sh | sh -s -- --channel=nightly
Discover other downloads in the archives.


Aww yeah, you successfully read this important alert message. This example text is going to run a bit longer
so
that you can see how spacing within an alert works with this kind of content.
Whenever you need to, be sure to use margin utilities to keep things nice and tidy.
{{/alert}}
{{#code}}
{{|#alert type="primary" heading="Well done!"}}

Aww yeah, you successfully read this important alert message. This example text is going to run a bit longer so that you can see how spacing within an alert works with this kind of content.

Whenever you need to, be sure to use margin utilities to keep things nice and tidy.

{{|/alert}}
{{/code}}
Dismissing
{{#alert heading="Dismissible" dismissible=true}}
Click the x Button to dismiss this alert.
{{/alert}}
{{#code}}
{{|#alert heading="Dismissible" dismissible=true}}

Click the x Button to dismiss this alert.

{{|/alert}}
{{/code}}
With events
{{#alert heading="OnClose" dismissible=true onClose=onClose}}
You can hook up events like onClose
.
{{/alert}}
{{#code}}
{{|#alert heading="OnClose" dismissible=true onClose=onClose}}

You can hook up events like onClose.

{{|/alert}}
{{/code}}
{{#alert type="info" heading="OnClosed" dismissible=true onClosed=onClosed}}
You can hook up events like onClosed
.
{{/alert}}
{{#code}}
{{|#alert type="info" heading="OnClosed" dismissible=true onClosed=onClosed}}

You can hook up events like onClosed.

{{|/alert}}
{{/code}}


A test bed for Parse.ly powered author metrics dashboard widgets for inclusion in an internal system such as a CMS.
Check the API reference for more details.
histogram
top posts


When the user is logged it is registered with an token with some expiring time limit.
And After login whenever request anything from server, user has to send that token with the request, so that server
came to know that this request is requested form a valid user .
If the token doesn't matches then server sends an error response that you are not a valid user. And ya user Data is Safe.
This is how JWT Auth works
press → for next method
2. Password Hashing
press ↓ to know more
What does the term Hashing Means??
Firstly, Hashing is not an Encryption.
Hashing is converting a readable string into a large unreadable coded string and we never generate the actual
string from this hash string now s.
Encryption is converting a readable string into an encrypted string but we can decrypt or re-generate the actual string
Do you know how your password being stored in database?
If it's stored as it is then developer can see your password and access your account.
So what's the solution??
How Does Password Hashing works??
As user we set-up our password its being converted into hash key and stored into the database.
So the developer can only see your hashed key not your actual password.
So how I'll do login next time if its stored as hashed string??
When the user comes again for login then also his password get's hashed.
And we use such hash algorithms that same hash string will generate again and we get authorized and logged-In.
Some Hash functions
Sha512
Sha256
md5
3. SQL Injection
press ↓ to know more
What is SQL Injection??
SQL injection is the placement of malicious code in SQL statements via some inputs.
for example : if in our database we had a query like this
SELECT * FROM users WHERE username = username AND password = password;
If user types username as "abcd OR 1 = 1" and password as
"pass OR 1 = 1"
then user the above query will run sucessfully and also returns all data of the user.
Now how to avoid such attacks??
Input validation and parametrized queries including prepared statements.
The application code should never use the input directly.


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The KATAB(The Kenya Alcohol Trends and Beverages), offers a suitable way of having fun without going to the clubs.
This is simply by ordering the kind of drink you want and having fun to your own liking. I mean what's life without fun.
We ensure that what we offer brings good vibes at all times. We believe in the "Say what you want about alcohol or any beverage, but when times are good it becomes an updraft that raises the soul heavenwards


Hi
I'm Chris.
 It's a cheap, easy, and realistic way to load test your site. I've been using Digital Ocean for a few months now, mostly because it's cheaper, but they also provide a nice API, so I modified bees with machine guns to run on digital ocean rather than AWS. The project is called Minnows with machine guns.


Motor Vehicle Registration
Vehicle Control Number:
Registration Number:
Owners Details
ID Number:
Full Name:
Ownership Category
-- Select --
{{ national.name }}
Postal Address:
Vehicle Details
Make:
-- Select --
{{ make.make }}
Model:
-- Select --
{{ modle.model }}
Model Number:
Body Type
Color
-- Select --
White
Blue
Yellow
Red
Green
Black
Brown
Grey
Pink
Others
Multicolor
Class
-- Select --
Motocyle
Motor Tricycle
Light Passenger Vehicle
Heavy Passenger Vehicle
Light Load Vehicle
Heavy Load Vehicle
Trailer
Agriculture Tractor
Agriculture Trailer
Mining or Road Construction Equipment
Other
Year Of Manufacture
-- Select --
2014
{{ modle.year }}
Chassis Number
Engine Number
Engine Capacity
Fuel Used
-- Select --
Petrol
Diesel
Electricity
Other
Number of Axial
Axial Distance
Seating Capacity
Gross Weight
Tare Weight
Imported From
-- Select --
{{ national.name }}
Saving....
Saved Successful
Saving Failed
Saving....
Saved Successful
Saving Failed
Save
Update
Cancel


{% extends "base.html" %} {% block content %}
Your password was successfully reset. You may go ahead and log in now.
Log in


The first thing after I set out to experience "Linux" operating system is installing "Emacs". Since I first stepped into the domain of "Emacs", I've then always been roaming in the intricate (definitely for me) forest of "GNU". It"s always tough when you start to embrace brand new things, but things will get better if you stick to it for a while. (I wouldn't say it's easy for me now, but I do switch the new stuff from devils to servants to some extent)
- The first thing you gotta do after you install Emacs is always configurating your initial files. Emacs can always satisify different requirements from different people. That's the magic of Emacs, and everyone has customited initial file for diverse purposes of use.
- Then I started to write python, latex, and org files with Emacs.
- I used to write latex file directly, but after I was aware of the existence of Org, I'm kind of excited and explore the world of org. Then I use Org, Emacs and GithubPages to build this personal blog. I use Org to write down notes which can be exported to latex, pdf, html files. There are still lots of cool things can be done with Org, but just a tip of the iceberg of Org can cheer you up.
- As I said, the initial files are what you customize your Emacs, they are by the way light-weighted. So I always upload my initial files to the servers of my university. So that I can use the familiar Emacs at PC-Pool at Uni. That's great. I don't have to cary my computer.


|
Yatta
1.6.9
Library for compressing and diffing buffers and files.
|
The raw version of this application is useless on its own, and is intended to be fullfilled by nSuite using the -Installer
command. The following is how nSuite uses this application:
This program is a fully-fledged Installation application, made to run on Windows. It generates an unInstaller, and links it up in the user's registry.
It uses the Windows GDI library for rendering.
This application has 3 (three) resources embedded within it:
This Installer has several screens it displays to the user. It starts off with a welcome screen, and requires that the user accept a EULA in order to proceed. If at any point an error occurs, the program enters a failure state and dumps its entire operation log to disk (next to the program, error_log.txt).
The Installer manifest has optional strings the developer can implement to customize the Installation process. Quotes are required
Any and all of these manifest values can be omitted.


Output Buffer#
This is the fundamental unit of rich output, a single immutable buffer (either in-memory or as a file). Rich output always consists of one or more buffers. Ideally, the Sage library always uses the buffer object as an in-memory buffer. But you can also ask it for a filename, and it will save the data to a file if necessary. Either way, the buffer object presents the same interface for getting the content of an in-memory buffer or a temporary file. So any rich output backends do not need to know where the buffer content is actually stored.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer
sage: buf = OutputBuffer('this is the buffer content'); buf
buffer containing 26 bytes
sage: buf.get().decode('ascii')
'this is the buffer content'
sage: type(buf.get()) is bytes
True
- class sage.repl.rich_output.buffer.OutputBuffer(data)#
Bases:
SageObject
Data stored either in memory or as a file
This class is an abstraction for “files”, in that they can either be defined by a bytes array (Python 3) or string (Python 2) or by a file (see
from_file()
).INPUT:
data
– bytes. The data that is stored in the buffer.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: buf = OutputBuffer('this is the buffer content'); buf buffer containing 26 bytes sage: buf2 = OutputBuffer(buf); buf2 buffer containing 26 bytes sage: buf.get_str() 'this is the buffer content' sage: buf.filename(ext='.txt') '/....txt'
- filename(ext=None)#
Return the filename.
INPUT:
ext
– string. The file extension.
OUTPUT:
Name of a file, most likely a temporary file. If
ext
is specified, the filename will have that extension.You must not modify the returned file. Its permissions are set to readonly to help with that.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: buf = OutputBuffer('test') sage: buf.filename() # random output '/home/user/.sage/temp/hostname/26085/tmp_RNSfAc' sage: os.path.isfile(buf.filename()) True sage: buf.filename(ext='txt') # random output '/home/user/.sage/temp/hostname/26085/tmp_Rjjp4V.txt' sage: buf.filename(ext='txt').endswith('.txt') True
- classmethod from_file(filename)#
Construct buffer from data in file.
Warning
The buffer assumes that the file content remains the same during the lifetime of the Sage session. To communicate this to the user, the file permissions will be changed to read only.
INPUT:
filename
– string. The filename under which the data is stored.
OUTPUT:
String containing the buffer data.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: name = sage.misc.temporary_file.tmp_filename() sage: with open(name, 'wb') as f: ....: _ = f.write(b'file content') sage: buf = OutputBuffer.from_file(name); buf buffer containing 12 bytes sage: buf.filename() == name True sage: buf.get_str() 'file content'
- get()#
Return the buffer content
OUTPUT:
Bytes. A string in Python 2.x.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: c = OutputBuffer('test1234').get(); c.decode('ascii') 'test1234' sage: type(c) is bytes True sage: c = OutputBuffer('été').get() sage: type(c) is bytes True
- get_str()#
Return the buffer content as a
str
object for the current Python version.That is, returns a Python 2-style encoding-agnostic
str
on Python 2, and returns a unicodestr
on Python 3 with the buffer content decoded from UTF-8. In other words, this is equivalent toOutputBuffer.get
on Python 2 andOutputBuffer.get_unicode
on Python 3. This is useful in some cases for cross-compatible code.OUTPUT:
A
str
object.EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: c = OutputBuffer('test1234').get_str(); c 'test1234' sage: type(c) is str True sage: c = OutputBuffer('été').get_str() sage: type(c) is str True
- get_unicode()#
Return the buffer content as string
OUTPUT:
String. Unicode in Python 2.x. Raises a
UnicodeEncodeError
if the data is not valid utf-8.EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: OutputBuffer('test1234').get().decode('ascii') 'test1234' sage: OutputBuffer('test1234').get_unicode() 'test1234'
- save_as(filename)#
Save a copy of the buffer content.
You may edit the returned file, unlike the file returned by
filename()
.INPUT:
filename
– string. The file name to save under.
EXAMPLES:
sage: from sage.repl.rich_output.buffer import OutputBuffer sage: buf = OutputBuffer('test') sage: buf.filename(ext='txt') # random output sage: tmp = tmp_dir() sage: filename = os.path.join(tmp, 'foo.txt') sage: buf.save_as(filename) sage: with open(filename, 'r') as f: ....: f.read() 'test'


KartRider: Drift is a free to play kart racer heading to Xbox One and PC
by Aran SuddiNexon has announced KartRider: Drift, a free to play kart racer, and it is heading to Xbox One and PC via Steam and the Nexon launcher. This is first time the KartRider franchise is coming to the West having been popular in Asian nations since the original KarRider released in 2004, amassing a total of 380 million players on PCs.
KartRider: Drift will have three modes which include a speed mode which is competitive and features drifting challenges, a time attack mode, and an item mode. The karts will have a number of customization options so players can personalise their looks. There will be seasonal updates throughout the life of the game.
There will be a closed beta taking place from December 5th in North America and December 6th in Europe. Players can sign up by going to the KartRider: Drift website.
Source: Press Release


Ash Ketchum
One of the greatest trainers in the Pokemon World.
Here are his greatest achievements:
- Top 16 in his first pokemon leauge
- Defeated arch-rival Gary Oak in the Johto League
- Orange League Champion
- Battle Frontier Champion
- Beat prime nemesis Paul in the Sinnoh Conference
- Reached Kalos League finals
- Trained Greninja to battle-bond phenomenon
- Alola leaguechampion
- Beat legendaries like Darkrai and Articuno
- Beat the gyms of 7 regions
- Currently in the Ultra Class of World Coronation Series
--Professor Oak


I.Boiled Potatos II.Vegetable Salad III.Hot drinks
price: 500CU
Your adress
HTML Restaurant ® 2019 | need help? call us: +123456789


- Dashboard
- Application
- Projects
- Quotes
- Staged Projects
- Application Admin
- Divisions
- Customers
- Notes
- Terms & Conditions
- Freight
- Process Run Control
- Product Catalog Admin
- Product Lines
- Items
- Security Admin
- Users
- Roles & Permissions
- Reports
- Blue Sheet Report
- All Quotes By Division
- All Quotes By Control#
- Awarded Quotes
- Quotes by Customer
- Lost Job Report
- Quote History By Item


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Collection
Examples of good practice in art teaching from providers inspected by Ofsted.


Constructor
new UsageAggregationManagementClient(credentials, baseUriopt, filters)
Parameters:
| Name | Type | Attributes | Description | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
credentials |
SubscriptionCloudCredentials | Gets subscription Properties
|
|||||||||
baseUri |
string |
<optional> |
Gets the URI used as the base for all cloud |
||||||||
filters |
Array |
Members
usageAggregates :object
Provides an instance of the
UsageAggregationOperations object.
Type:
- object


---
layout: page
title: 150k Python Dataset
---
This dataset is released as a part of
Machine Learning for Programming project that aims to create new kinds of programming tools and techniques based on machine learning and statistical models learned over massive codebases. For more information about the project, tools and other resources please visit the main project page.
Overview
We provide a dataset consisting of parsed Parsed ASTs that were used to train and evaluate the DeepSyn tool.
The Python programs are collected from GitHub repositories by removing duplicate files, removing project forks (copy of another existing repository), keeping only programs that
parse and have at most 30'000 nodes in the AST and we aim to remove obfuscated files. Furthermore, we only used repositories with permissive and non-viral licenses such as MIT, BSD and Apache.
For parsing, we used the Python AST parser included in Python 2.7. We also include the parser as part of our dataset.
The dataset is split into two parts -- 100'000 files used for training and 50'000 files used for evaluation.
Download
{% include card.html
title="Version 1.0 [526.6MB]"
url="http://files.srl.inf.ethz.ch/data/py150.tar.gz"
description="An archive of the dataset"
output="horizontal"
download="http://files.srl.inf.ethz.ch/data/py150.tar.gz"
%}
The archive contains the following files:
- parse_python.py -- The parser that we used to obtain JSON from each Python source code that we used to obtain this dataset.
- python100k_train.json -- Parsed ASTs in JSON format. This is a dataset for training.
- python50k_eval.json -- Parsed ASTs in JSON format. This is a dataset for evaluation.
{% include card.html
title="Redistributable Version [June 2020]"
url="https://github.com/google-research-datasets/eth_py150_open"
description="Redistributable version containing subset of the original repositories and files."
output="horizontal"
%}
Download - Source Files
{% include card.html
title="Version 1.0 Files [190MB]"
url="http://files.srl.inf.ethz.ch/data/py150_files.tar.gz"
description="An archive of source files used to generate the py150 Dataset"
output="horizontal"
download="http://files.srl.inf.ethz.ch/data/py150_files.tar.gz"
%}
The archive contains the following files:
- data.tar.gz -- Archive containing all the source files
- python100k_train.txt -- List of files used in the training dataset.
- python50k_eval.txt -- List of files used in the evaluation dataset.
- github_repos.txt -- List of GitHub repositories and their revisions used to obtain the dataset.
Note that the order of python100k_train.txt and python100k_train.json (containing the ASTs of the parsed files) are the same.
That is, parsing the n-th file from python100k_train.txt produces n-th ASTs in python100k_train.json.
Published research using this dataset may cite the following paper:
Raychev, V., Bielik, P., and Vechev, M. Probabilistic Model for Code with Decision Trees. In Proceedings of the 2016 ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (2016), OOPSLA ’16, ACM
Format
Now we briefly explain the JSON format into which each AST is stored. The python100k_train.json and python50k_eval.json files include one such JSON per line.
As an example, given a simple program:
x = 7
print x+1
The serialized AST is as follows (here we show it pretty-printed, but the entire JSON is on a single line in the data):
[ {"type":"Module","children":[1,4]},
{"type":"Assign","children":[2,3]},
{"type":"NameStore","value":"x"},
{"type":"Num","value":"7"},
{"type":"Print","children":[5]},
{"type":"BinOpAdd","children":[6,7]},
{"type":"NameLoad","value":"x"},
{"type":"Num","value":"1"} ]
As can be seen, the json contains array of objects.
Each object contains several name/value pairs:
- (Required) type: string containing type of current AST node.
- (Optional) value: string containing value (if any) of the current AST node.
- (Optional) children: array of integers denoting indices of children (if any) of the current AST node. Indices are 0-based starting from the first node in the JSON.


152_cheol.py
from typing import Dict, List
from collections import deque, defaultdict, OrderedDict, Counter
from heapq import heapify, heappush, heappop
from bisect import bisect_left, bisect_right
from functools import lru_cache
from itertools import combinations, permutations
import re
import sys
inf = float('inf')
sys.setrecursionlimit(10**9)
MOD = 10**9+7
class Solution:
def destCity(self, paths: List[List[str]]) -> str:
m = dict()
for a, b in paths:
m[a] = b
cur = paths[0][0]
while cur in m:
cur = m[cur]
return cur


Windows Update problem was just a permissions thing from security software. Love it when something protecting you prevents needed updates.
11/30/2008, 3:18:59 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Windows Update problem was just a permissions thing from security software. Love it when something protecting you prevents needed updates.
11/30/2008, 3:18:59 PM
Favs: 0
Retweets: 0
link


Adaptable Binary Predicate
|
|
| Category: functors |
Component type: concept |
Description
An Adaptable Binary Predicate is a Binary Predicate that is also an
Adaptable Binary Function. That is, it is a Binary Function
whose return type is bool, and that includes nested typedefs that
define its argument types and return type.
Refinement of
Predicate, Adaptable Binary Function
Associated types
None, except for those associated with Predicate and
Adaptable Binary Function.
Notation
Definitions
Valid expressions
None, except for those defined by the Predicate and
Adaptable Binary Function requirements.
Expression semantics
Complexity guarantees
Invariants
Models
Notes
See also
Binary Predicate, Predicate, Adaptable Predicate
Copyright © 1996 Silicon Graphics, Inc.
|


5 Mississippi Bank Failures in the Great Depression
A difference-in-difference analysis of Mississippi bank failures during the Great Depression (Richardson and Troost 2009). This replicates Figures 5.1–5.3 in Mastering ’Metrics.
library("tidyverse")
library("lubridate")
Load the banks
data.
data("banks", package = "masteringmetrics")
Only use yearly data in the difference-in-difference estimates. Use the number of banks on July 1st of each year.
banks <- banks %>%
filter(month(date) == 7L, mday(date) == 1L) %>%
mutate(year = year(date)) %>%
select(year, matches("bi[ob][68]"))
Generate the counterfactual using the difference between the number of banks in district 8 and district 6.
banks <- banks %>%
arrange(year) %>%
mutate(diff86 = bib8[year == 1930] - bib6[year == 1930],
counterfactual = if_else(year >= 1930, bib8 - diff86, NA_integer_)) %>%
select(-diff86)
Plot the lines of the Distinct 8 banks in business, District 6 banks in business, and the District 6 counterfactual. This is equivalent to Figure 5.3 of Angrist and Pischke (2014).
select(banks, year, bib8, bib6, counterfactual) %>%
gather(variable, value, -year, na.rm = TRUE) %>%
mutate(variable = recode(variable, bib8 = "8th district",
bib6 = "6th district",
counterfactual = "Counterfactual")) %>%
ggplot(aes(x = year, y = value, colour = variable)) +
geom_point() +
geom_line() +
ylab("Number of Banks in Business") +
xlab("")
Plot the difference-in-difference estimate for all years after 1930.
ggplot(filter(banks, year > 1930), aes(x = year, y = bib6 - counterfactual)) +
geom_point() +
geom_line() +
ylab("DID (Number of Banks)") +
xlab("")


Generic four state ClassicFSM base class.
This is a mix-in class that expects that your derived class
is a DistributedObject.
Inherit from FourStateFSM and pass in your states. Two of
the states should be oposites of each other and the other
two should be the transition states between the first two.
E.g::
+--------+
-->| closed | --
| +--------+ |
| |
| v
+---------+ +---------+
| closing |<----->| opening |
+---------+ +---------+
^ |
| |
| +------+ |
----| open |<---
+------+
There is a fifth off state, but that is an implementation
detail (and that's why it's not called a five state ClassicFSM).
I found that this pattern repeated in several things I was
working on, so this base class was created.
| def __init__ |
( |
|
self, |
|
|
|
names, |
|
|
|
durations = [0, 1, None, 1, 1] |
|
) |
| |
Names is a list of state names. Some examples are::
['off', 'opening', 'open', 'closing', 'closed',]
['off', 'locking', 'locked', 'unlocking', 'unlocked',]
['off', 'deactivating', 'deactive', 'activating', 'activated',]
durations is a list of time values (floats) or None values.
Each list must have five entries.
.. rubric:: More Details
Here is a diagram showing the where the names from the list
are used::
+---------+
| 0 (off) |----> (any other state and vice versa).
+---------+
+--------+
-->| 4 (on) |---
| +--------+ |
| |
| v
+---------+ +---------+
| 3 (off) |<----->| 1 (off) |
+---------+ +---------+
^ |
| |
| +---------+ |
--| 2 (off) |<--
+---------+
Each states also has an associated on or off value. The only
state that is 'on' is state 4. So, the transition states
between off and on (states 1 and 3) are also considered
off (and so is state 2 which is oposite of 4 and therefore
oposite of 'on').


| Total net profit | -72.69 | Gross profit | 2.46 | Gross loss | -75.15 |
| Profit factor | 0.03 | Expected payoff | -1.55 | ||
| Absolute drawdown | -72.69 | Maximal drawdown (%) | 70.81 (-3766.49%) | ||
| Total trades | 47 | Profit trades (% of total) | 4 (8.51%) | Loss trades (% of total) | 43 (91.49%) |
| Long positions (won %) | 43 (9.3%) | Short positions (won %) | 4 (0.0%) | ||
| Largest | profit trade | 1.45 | loss trade | -8.04 | |
| Average | profit trade | 0.61 | loss trade | -1.75 | |
| Minimum | profit trade | 0.22 | loss trade | -0.25 | |
| Maximum | take profit in pips | 676.9 | stop loss in pips | -1449.8 | |
| Average | take profit in pips | 58.2 | stop loss in pips | -281.6 | |
| Minimum | take profit in pips | -406.9 | stop loss in pips | -85.0 | |
| Maximum | Reward-Risk | 3.8 | Duration in minutes | 501 | |
| Average | Reward-Risk | 0.6 | Duration in minutes | 32.2 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.48) | consecutive losses (loss in money) | 15.0 (-19.19) | |
| Average | consecutive wins | 1.0 | consecutive losses | 10.0 |
| Total net profit | -63.62 | Gross profit | 2.46 | Gross loss | -66.08 |
| Profit factor | 0.04 | Expected payoff | -1.48 | ||
| Absolute drawdown | -63.62 | Maximal drawdown (%) | 61.74 (-3284.04%) | ||
| Total trades | 43 | Profit trades (% of total) | 4 (9.3%) | Loss trades (% of total) | 39 (90.7%) |
| Largest | profit trade | 1.45 | loss trade | -8.04 | |
| Average | profit trade | 0.61 | loss trade | -1.69 | |
| Minimum | profit trade | 0.22 | loss trade | -0.25 | |
| Maximum | take profit in pips | 676.9 | stop loss in pips | -1449.8 | |
| Average | take profit in pips | 57.2 | stop loss in pips | -279.4 | |
| Minimum | take profit in pips | -406.9 | stop loss in pips | -95.4 | |
| Maximum | Reward-Risk | 3.8 | Duration in minutes | 501.0 | |
| Average | Reward-Risk | 0.6 | Duration in minutes | 34.4 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (0.48) | consecutive losses (loss in money) | 15.0 (-19.19) | |
| Average | consecutive wins | 1.0 | consecutive losses | 9.0 |
| Total net profit | -9.07 | Gross profit | 0.0 | Gross loss | -9.07 |
| Profit factor | 0.0 | Expected payoff | -2.27 | ||
| Absolute drawdown | -9.07 | Maximal drawdown (%) | 8.44 (-1339.68%) | ||
| Total trades | 4 | Profit trades (% of total) | 0 (0.0%) | Loss trades (% of total) | 4 (100.0%) |
| Largest | profit trade | 0.0 | loss trade | -6.58 | |
| Average | profit trade | 0.0 | loss trade | -2.27 | |
| Minimum | profit trade | 0.0 | loss trade | -0.63 | |
| Maximum | take profit in pips | 412.8 | stop loss in pips | -881.1 | |
| Average | take profit in pips | 69.0 | stop loss in pips | -305.2 | |
| Minimum | take profit in pips | -96.4 | stop loss in pips | -85.0 | |
| Maximum | Reward-Risk | 3.1 | Duration in minutes | 32.0 | |
| Average | Reward-Risk | 0.9 | Duration in minutes | 8.3 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 0.0 (0.0) | consecutive losses (loss in money) | 4.0 (-9.07) | |
| Average | consecutive wins | 0.0 | consecutive losses | 4.0 |


--- layout: default title: General Cooking Advice ---
A lot of people have a lot of opinions about cooking - who should do it, when they should do it, how much of it they should do, what they should be doing - the list goes on. As a result of all this opinionating, sometimes there is not enough talking about cooking itself. Why do we do the things we do? How does it affect the outcome?
While we often talk of cooking within a cultural context, there's also a lot of science and structure to cooking that can be hard to learn from following recipes. This chapter will contain general musings on cooking, interspersed with the odd lesson and experiment.


Applications
This page explains how to integrate third-party applications using the Koliseo API.
Generating credentials
Koliseo uses OAuth 2 to secure its API. To connect your application with the platform, you first need to create a set of credentials:
- Go to your user page.
- Select the Applications tab and click the Add Application button.
- Fill the form and click the Save button to create your application.
The application includes the following fields:
- Name: the name that you will use to identify this application.
- Type: set this drop-down to “web” for web applications, “mobile” for mobile apps.
- Description: Your application description.
- Thumbnail URL: A URL pointing to the logo of your application. Leave empty to use the default logo.
- Redirect URIs: A list of the allowed URLs for redirection after logging in, one per line. It typically includes the web page where your login link will be.
After creating the application, you can use the Client ID and Secret to configure your OAuth 2 application. See an example.


This project was created mainly to reach out to the girl child outside there so as to help them and protect their rights.By doing this we help the society by reducing idleness and social evils among the girls.
This was a group project we worked on.I was a contributor in the project. this project was to mainly help out the youths by unveiling their full potentials through promotion of their various talents and hooking up with various sponsors and partners to promote mentorship programs for the youths.


Sport
Boxer Evelyn makes history for Dundalk
Boxing
by David LynchYoung Dundalk boxer Evelyn Igharo, who only just turned eighteen, has become the youngest girl to win the elite 64kg national title.
According to her club Clann Naofa, “she is credit to the club and Irish athletic boxing association. When Evelyn first came through the doors of Clann Naofa in Muirhevnamor, she was a shy lack of confidence seven year old kid, it took the coaches three years to develop her talent entering her first competition at 11 years of age, winning Louth, Leinster championships and the first of many Irish national titles.”
Evelyn hasn’t looked back since, going on to win the Irish title the year after, along with being awarded the best school girl of the year.
Evelyn soon became a name well-known around Ireland for her boxing ability. It was then she was called up for the Irish national team, showcasing her talents at the highest level of Irish boxing and it soon became clear what a talent that she was.
To date Evelyn has won a total of 14 Irish titles, 1 European silver medal, and a gold medal in the golden girl’s competition in Germany.
“As her coaches we could not be any more proud of her achievements and accomplishments. Watch this space, we believe there is much more to come.”


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High Scores
Coding Quiz
this is a quiz game to test your knowledge in coding
Start
End Quiz
Initial Here:


I enjoyed listing to Shareef's Fireside Chat very much. I'm glad that I got to watch this
video before the phase 1 starts because he answered many questions I had about DBC and listing
to what he had to say made me feel a lot better.
I totally get the idea of Kitchen vs. Restaurants and how a mindset of working in the kitchen with
other chefs is more affective to learn. And I can definitely see that that kind of enviroment having a huge
positive affect on me. Even though I lite the idea of working and learning together with people, I feel like I was
never really good at it, and because of that, I never really exposed myself to those kind of situations where
I have to work with peolpe and share my thoughts with them.
I'm not going to lie, I am still pretty nervous about how well I'll do in that sort of enviroment at DBC,
I have a good feeling about it and I an super excited to experience the whole thing with my class mates!


Suggestions for Optimization
Functions: instructions versus time
Roofline model
Function info
Logscale
Logscale Roofline


The vision of ‘The CORE’ is to promote disarmament in all its forms in various different levels. While the definition of this word ‘disarmament’ means the reduction or withdrawal of military forces and weapons disarmament is more than this. For this campaign disarmament also means reduction of unnecessary violence. For the members of this campaign, controlled violence is always the last option because this campaign also believes that everything has a limit and we believe in responding but not reacting to any grave situation.
CORE also promotes that disarmament which means disapproval against poaching or any other
physical or mental harassment or harm. It also defames the use of non-conventional weapons. The idea of disarmament for this campaign stands on the four goals taken from SDGs which act like pillars to our agenda; those Goal no. 4, 8, 11 and 16. To conclude disarmament for the members of the Core is to promote peace everywhere and it also carries to the point that war it is never the immediate solution of
any problem.
The Passionate team that runs this project wholeheartedly.
Founder
Co-Founder
Management Head
Research Head
IT Head
Digital Creations Head
Social Media Head
Planing Head
Creative Head
Have Doubts, Why not contact us
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Beypore beach is a combination of a sea beach, a promenade cum waterbreak and the signature backwaters of Kerala.
ELATHUR BEACH
The Arabian Sea lies to the west of Elathur. The Elathur beach stretches from Puthiyanirathe to Korapuzha. Marine mussels are abundant in this part of the sea.
VELLARIMALA
Vellarimala Hills is a mountain range in Kerala, India, spread across Thiruvambady Panchayat in Kozhikode district and Meppadi Panchayat in Wayanad district


Installing an Antivirus Program
An antivirus program, or AV program, is a security program that protects your computer from viruses. Windows includes a
built-in AV, called Windows Defender, but it is important to use a 3rd party antivirus to protect
against more advanced viruses that are able to avoid Windows Defender. The steps to install an antivirus are
different for every AV program, but general instructions are provided below.
-
First, you must select which antivirus program to use. Many AV programs are free, but the best
products require a purchase or subscription. A list of recommended free and paid options can be found
here.
-
Purchase or download your selected AV product. When the program is downloaded, click the executable to
run the installer.
-
Follow the instructions in the program's installer to install the AV program.
-
Reboot your computer to activate your AV program.


Private key for authenticating to GitHub with, it must be in PKCS#8 format, GitHub will give it to you in PKCS#1.
You can convert it with: openssl pkcs8 -topk8 -nocrypt -in downloaded-key.pem
openssl pkcs8 -topk8 -nocrypt -in downloaded-key.pem


- Live in day tight compartments.

- One grain of sand at a time, one task at a time.
- Three steps to face a grave situation
- Think, “What’s the worst that can happen?”
- Prepare to accept it if it comes to that.
- Calmly proceed to improve on the worst.
- Gather all the facts.
- Try to reason against your preferred side.
- List all the facts (both sides of the argument).
- Analyze the facts.
- Reach a decision and ACT on it.
- Gather all the facts.
- 4 Questions to write(not just think) answers of when something is worrying you.
- What am I worrying about?
- What can I do about it?
- Here’s what I will do.
- When will I start working on this? (preferably immediately)
- When once a decision is reached & execution started, dismiss the care for outcome.
For every ailment under the sun, There is a remedy or there is none. If there be one, try to find it. If there be none, never mind it.
- When we stop fighting the inevitable, we release energy which enables us to create a richer life.
- The cost of a thing is the amount of life which is required to be exchanged for it, immediately or in the long run.
If you know of any other books that I should read then contact me here or tweet to me @varun_barad. You can even send me ideas for any other topics that you would like to know about.


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KPN Things Device SDK
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#include <senml_half_float_record.h>
Public Member Functions | |
| SenMLHalfFloatRecord (const char *name) | |
| SenMLHalfFloatRecord (const char *name, SenMLUnit unit) | |
| SenMLHalfFloatRecord (const char *name, SenMLUnit unit, float value) | |
| SenMLHalfFloatRecord (ThingsMLMeasurementIndex index) | |
| SenMLHalfFloatRecord (ThingsMLMeasurementIndex index, float value) | |
| ~SenMLHalfFloatRecord () | |
| virtual int | fieldsToJson () |
| virtual int | fieldsToCbor () |
| Public Member Functions inherited from SenMLRecordTemplate< float > | |
| SenMLRecordTemplate (const char *name) | |
| SenMLRecordTemplate (const char *name, SenMLUnit unit) | |
| SenMLRecordTemplate (const char *name, SenMLUnit unit, float value) | |
| SenMLRecordTemplate (ThingsMLMeasurementIndex index) | |
| SenMLRecordTemplate (ThingsMLMeasurementIndex index, float value) | |
| float | get () |
| bool | asSum () |
| bool | set (float value, double time=(double) NAN, bool asSum=false) |
| Public Member Functions inherited from SenMLRecord | |
| SenMLRecord () | |
| SenMLRecord (const char *name) | |
| SenMLRecord (ThingsMLMeasurementIndex index) | |
| SenMLRecord (const char *name, SenMLUnit unit) | |
| double | getTime () |
| bool | setTime (double value, bool absolute=true) |
| void | setTimeDirect (double value) |
| const char * | getName () |
| ThingsMLMeasurementIndex | getIndex () |
| void | setName (const char *name) |
| double | getUpdateTime () |
| bool | setUpdateTime (double value, bool absolute=true) |
| SenMLUnit | getUnit () |
| void | setUnit (SenMLUnit value) |
| virtual int | fieldsToJson () |
| virtual int | fieldsToCbor () |
| Public Member Functions inherited from SenMLBase | |
| SenMLBase () | |
| ~SenMLBase () | |
| SenMLBase * | getNext () |
| SenMLBase * | getRoot () |
| virtual void | adjustToBaseTime (double prev, double time) |
| virtual int | fieldsToJson ()=0 |
| virtual int | fieldsToCbor ()=0 |
Additional Inherited Members | |
| Protected Member Functions inherited from SenMLRecord | |
| virtual int | contentToJson () |
| virtual int | contentToCbor () |
| virtual void | adjustToBaseTime (double prev, double time) |
| virtual void | actuate (const void *value, int dataLength, SenMLDataType dataType) |
| int | getFieldLength () |
| Protected Member Functions inherited from SenMLBase | |
| virtual int | contentToJson ()=0 |
| void | setNext (SenMLBase *value) |
| void | setPrev (SenMLBase *value) |
| SenMLBase * | getPrev () |
| virtual bool | isPack () |
| virtual int | contentToCbor ()=0 |
| virtual int | getArrayLength () |
| virtual int | getFieldLength ()=0 |
A SenMLRecord that stores half float data. Actual storage of half float only happens when exporting to cbor. This type of object can only be used for sensor data. If actuation is needed, use SenMLFloatActuator instead.
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inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
inline |
|
virtual |
renders all the fields to cbor format. renders all the fields of the object without the length info at the beginning note: this is public so that custom implementations for the record object can use other objects internally and render to json using this function (ex: coordinatesRecord using 3 floatRecrods for lat, lon & alt.
Reimplemented from SenMLRecord.
|
virtual |
renders all the fields to json, without the starting and ending brackets. Inheriters can extend this function if they want to add extra fields to the json output note: this is public so that custom implementations for the record object can use other objects internally and render to json using this function (ex: coordinatesRecord using 3 floatRecrods for lat, lon & alt.
Reimplemented from SenMLRecord.


{% extends "layout.html" %} {% block cssblock %} {% endblock cssblock %} {% block content %} Please enter your email Have some important document that you don't want to share freely? Try WPCI to make users sign an NDA {% if error %} {{ error }} {% endif %} Email Register! or Login {% endblock %}
Have some important document that you don't want to share freely? Try WPCI to make users sign an NDA


I worked at ShopWell in Palo Alto, CA, in 2009 and most of 2010.
ShopWell's office was one large open space. The desks were grouped into pods of four. The walls were covered in cork boards and we had many, many foam core boards covered in Post-It notes of all colors as our design tools. These were great for posting designs to review or to track tasks in the current sprint. With all the wall space taken by information radiators, that left no room for windows. Lucky for us there were many skylights to provide us with natural lighting.
We did all our development on MacBook Pro laptops. After my previous stint at Google, I was not gonna settle for some tiny monitor. I bought my own 24" cinema display and used it in the office every day. It was really nice, with built-in camera, microphone, speakers, and USB hub. Combined with the laptop's 15" screen, it was almost as good as a two-headed monster.
We had a pulley system at the back of the office to park one bicycle on the rafters. It was first come, first served and it almost worked as an incentive to get me into the office early. After a few days, though, the overhead of dealing with the pulleys when cutting it close to catch a train meant that I left my bike on the ground instead.
Still, you have to admit that's pretty cool.
There was a lengthy, three-part article about ShopWell in Xconomy in November 2010.


Tension in Akwa Ibom over prisoner’s death - The Nation Newspaper
Bassey Anthony, Uyo
THERE is palpable tension at the Nigeria Correctional Service in Eket local government area of Akwa Ibom State as inmates in the early hours of Saturday protested the alleged killing of their colleague.
Our correspondent gathered that the protest was triggered after a prison warder allegedly beat an inmate to death Friday evening.
The irate inmates numbering over a hundred insisted that the deputy comptroller in charge of NCS Eket must go even as they destroyed properties worth millions of naira including four cells.
Some prisoners tried to escape from custody amidst the confusion but were prevented by warders. A number of them were injured and apprehended by the warders.
Read Also: Akwa Ibom governor’s wife honoured
“The clinic facilities, kitchen, store houses, pantry and other facilities and condemned inmates cells and nearly all the facilities were destroyed,” a source who refused to be named said. He explained that the inmates had created holes on the walls to ease their escape.
The Nation learnt that scores of heavily armed warders surrounded the hospital where the injured inmates were receiving treatment.
“The warders surrounded the hospital where the three inmates were hospitalised,” he said.
He observed that if not for the combined JTF, DSS, Police, detachment of neighbouring personnel in other local government areas including Uyo, the inmates would have escaped. He noted that they were shooting sporadically to ensure that the inmates could not escape from the prison.


Q1. What's your take on the DBC/EDA experience?
There is a strong focus on emotional intelligence. I agree and value emotional intelligence its something that we can all work on. I like that it opposes some of the more damaging aspects of the western education system. I’ve yet to experience the proposed emotional intelligence practices, it’s important that it is an appropriate amount? I would hit a law of diminishing returns of how chilled out I am vs how many downward dogs I do. What is my perfect number of downward dogs? The approach of focussing on human interaction and relationship in the workplace is key and something I can learn from.
Q2. What are your impressions?
The working space is pleasant. You can tell the level of anxiety in a room by it’s ‘vibe’. The vibe is nicer than other places I have been. EDA values optimism, creativity and innovation. This is something I appreciate. I like the values around ‘if I can see a better way of doing something I’ll have a tinker and give it a go’ How do you see yourself engaging with this type of culture? I think I will enjoy the culture. The big challenge is being vulnerable. This is an environment that will be a good place to be vulnerable. There are different ways to contribute to this culture and I am sure I will find ways to do this that will resonate.
Q3. Have your expectations of EDA changed?
If so, how? My expectations have not changed but I have a fuller picture of what it is now.
Q4. Are you excited to participate in this kind of learning environment? Does it make you nervous?
I am;
1. excited
2. nervous
3. wondering if doing this is a good idea
4. wondering if doing this is a terrible idea
5. happy
6. trepidatious
7. fidgety
8. thrilled
All the feelings


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