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| Packages that use UnivariateRealFunction | |
|---|---|
| org.apache.commons.math.analysis | Parent package for common numerical analysis procedures, including root finding, function interpolation and integration. |
| org.apache.commons.math.analysis.integration | Numerical integration (quadrature) algorithms for univariate real functions. |
| org.apache.commons.math.analysis.interpolation | Univariate real functions interpolation algorithms. |
| org.apache.commons.math.analysis.polynomials | Univariate real polynomials implementations, seen as differentiable univariate real functions. |
| org.apache.commons.math.analysis.solvers | Root finding algorithms, for univariate real functions. |
| org.apache.commons.math.linear | Linear algebra support. |
| org.apache.commons.math.optimization | This package provides common interfaces for the optimization algorithms provided in sub-packages. |
| org.apache.commons.math.optimization.fitting | This package provides classes to perform curve fitting. |
| org.apache.commons.math.optimization.univariate | Univariate real functions minimum finding algorithms. |
| org.apache.commons.math.transform | Implementations of transform methods, including Fast Fourier transforms. |
| Uses of UnivariateRealFunction in org.apache.commons.math.analysis |
|---|
| Subinterfaces of UnivariateRealFunction in org.apache.commons.math.analysis | |
|---|---|
interface |
DifferentiableUnivariateRealFunction
Extension of UnivariateRealFunction representing a differentiable univariate real function. |
| Classes in org.apache.commons.math.analysis that implement UnivariateRealFunction | |
|---|---|
class |
ComposableFunction
Base class for UnivariateRealFunction that can be composed with other functions. |
| Methods in org.apache.commons.math.analysis that return UnivariateRealFunction | |
|---|---|
UnivariateRealFunction |
DifferentiableUnivariateRealFunction.derivative()
Returns the derivative of the function |
| Methods in org.apache.commons.math.analysis with parameters of type UnivariateRealFunction | |
|---|---|
ComposableFunction |
ComposableFunction.add(UnivariateRealFunction f)
Return a function adding the instance and another function. |
ComposableFunction |
ComposableFunction.combine(UnivariateRealFunction f,
BivariateRealFunction combiner)
Return a function combining the instance and another function. |
ComposableFunction |
ComposableFunction.divide(UnivariateRealFunction f)
Return a function dividing the instance by another function. |
ComposableFunction |
ComposableFunction.multiply(UnivariateRealFunction f)
Return a function multiplying the instance and another function. |
ComposableFunction |
ComposableFunction.of(UnivariateRealFunction f)
Precompose the instance with another function. |
ComposableFunction |
ComposableFunction.postCompose(UnivariateRealFunction f)
Postcompose the instance with another function. |
ComposableFunction |
ComposableFunction.subtract(UnivariateRealFunction f)
Return a function subtracting another function from the instance. |
| Uses of UnivariateRealFunction in org.apache.commons.math.analysis.integration |
|---|
| Fields in org.apache.commons.math.analysis.integration declared as UnivariateRealFunction | |
|---|---|
protected UnivariateRealFunction |
UnivariateRealIntegratorImpl.f
Deprecated. as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double) method. |
| Methods in org.apache.commons.math.analysis.integration with parameters of type UnivariateRealFunction | |
|---|---|
double |
LegendreGaussIntegrator.integrate(UnivariateRealFunction f,
double min,
double max)
Integrate the function in the given interval. |
double |
RombergIntegrator.integrate(UnivariateRealFunction f,
double min,
double max)
Integrate the function in the given interval. |
double |
SimpsonIntegrator.integrate(UnivariateRealFunction f,
double min,
double max)
Integrate the function in the given interval. |
double |
UnivariateRealIntegrator.integrate(UnivariateRealFunction f,
double min,
double max)
Integrate the function in the given interval. |
double |
TrapezoidIntegrator.integrate(UnivariateRealFunction f,
double min,
double max)
Integrate the function in the given interval. |
| Constructors in org.apache.commons.math.analysis.integration with parameters of type UnivariateRealFunction | |
|---|---|
RombergIntegrator(UnivariateRealFunction f)
Deprecated. as of 2.0 the integrand function is passed as an argument to the RombergIntegrator.integrate(UnivariateRealFunction, double, double) method. |
|
SimpsonIntegrator(UnivariateRealFunction f)
Deprecated. as of 2.0 the integrand function is passed as an argument to the SimpsonIntegrator.integrate(UnivariateRealFunction, double, double) method. |
|
TrapezoidIntegrator(UnivariateRealFunction f)
Deprecated. as of 2.0 the integrand function is passed as an argument to the TrapezoidIntegrator.integrate(UnivariateRealFunction, double, double) method. |
|
UnivariateRealIntegratorImpl(UnivariateRealFunction f,
int defaultMaximalIterationCount)
Deprecated. as of 2.0 the integrand function is passed as an argument to the UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double) method. |
| Uses of UnivariateRealFunction in org.apache.commons.math.analysis.interpolation |
|---|
| Methods in org.apache.commons.math.analysis.interpolation that return UnivariateRealFunction | |
|---|---|
UnivariateRealFunction |
UnivariateRealInterpolator.interpolate(double[] xval,
double[] yval)
Computes an interpolating function for the data set. |
| Uses of UnivariateRealFunction in org.apache.commons.math.analysis.polynomials |
|---|
| Classes in org.apache.commons.math.analysis.polynomials that implement UnivariateRealFunction | |
|---|---|
class |
PolynomialFunction
Immutable representation of a real polynomial function with real coefficients. |
class |
PolynomialFunctionLagrangeForm
Implements the representation of a real polynomial function in Lagrange Form. |
class |
PolynomialFunctionNewtonForm
Implements the representation of a real polynomial function in Newton Form. |
class |
PolynomialSplineFunction
Represents a polynomial spline function. |
| Methods in org.apache.commons.math.analysis.polynomials that return UnivariateRealFunction | |
|---|---|
UnivariateRealFunction |
PolynomialSplineFunction.derivative()
Returns the derivative of the polynomial spline function as a UnivariateRealFunction |
UnivariateRealFunction |
PolynomialFunction.derivative()
Returns the derivative as a UnivariateRealFunction |
| Uses of UnivariateRealFunction in org.apache.commons.math.analysis.solvers |
|---|
| Fields in org.apache.commons.math.analysis.solvers declared as UnivariateRealFunction | |
|---|---|
protected UnivariateRealFunction |
UnivariateRealSolverImpl.f
Deprecated. as of 2.0 the function to solve is passed as an argument to the UnivariateRealSolver.solve(UnivariateRealFunction, double, double) or
UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double)
method. |
| Methods in org.apache.commons.math.analysis.solvers with parameters of type UnivariateRealFunction | |
|---|---|
static double[] |
UnivariateRealSolverUtils.bracket(UnivariateRealFunction function,
double initial,
double lowerBound,
double upperBound)
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound
f(a) * f(b) < 0
If f is continuous on [a,b], this means that a
and b bracket a root of f. |
static double[] |
UnivariateRealSolverUtils.bracket(UnivariateRealFunction function,
double initial,
double lowerBound,
double upperBound,
int maximumIterations)
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound
f(a) * f(b) <= 0
If f is continuous on [a,b], this means that a
and b bracket a root of f. |
protected boolean |
UnivariateRealSolverImpl.isBracketing(double lower,
double upper,
UnivariateRealFunction function)
Deprecated. Returns true iff the function takes opposite signs at the endpoints. |
double |
SecantSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a zero in the given interval. |
double |
NewtonSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a zero near the midpoint of min and max . |
double |
LaguerreSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a real root in the given interval. |
double |
BrentSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a zero in the given interval. |
double |
BisectionSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Solve for a zero root in the given interval. |
double |
MullerSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a real root in the given interval. |
double |
RiddersSolver.solve(int maxEval,
UnivariateRealFunction f,
double min,
double max)
Find a root in the given interval. |
double |
UnivariateRealSolverImpl.solve(int maxEval,
UnivariateRealFunction function,
double min,
double max)
Deprecated.  Solve for a zero in the given interval, start at startValue. |
double |
SecantSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
NewtonSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
LaguerreSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
static double |
UnivariateRealSolverUtils.solve(UnivariateRealFunction f,
double x0,
double x1)
Convenience method to find a zero of a univariate real function. |
double |
BrentSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
BisectionSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
UnivariateRealSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
MullerSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
RiddersSolver.solve(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
SecantSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
NewtonSolver.solve(UnivariateRealFunction f,
double min,
double max,
double startValue)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
LaguerreSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
static double |
UnivariateRealSolverUtils.solve(UnivariateRealFunction f,
double x0,
double x1,
double absoluteAccuracy)
Convenience method to find a zero of a univariate real function. |
double |
BrentSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
BisectionSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
UnivariateRealSolver.solve(UnivariateRealFunction f,
double min,
double max,
double startValue)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
MullerSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
RiddersSolver.solve(UnivariateRealFunction f,
double min,
double max,
double initial)
Deprecated. in 2.2 (to be removed in 3.0). |
double |
MullerSolver.solve2(UnivariateRealFunction f,
double min,
double max)
Deprecated. in 2.2 (to be removed in 3.0). |
protected void |
UnivariateRealSolverImpl.verifyBracketing(double lower,
double upper,
UnivariateRealFunction function)
Deprecated. Verifies that the endpoints specify an interval and the function takes opposite signs at the endpoints, throws IllegalArgumentException if not |
| Uses of UnivariateRealFunction in org.apache.commons.math.linear |
|---|
| Methods in org.apache.commons.math.linear with parameters of type UnivariateRealFunction | |
|---|---|
RealVector |
AbstractRealVector.map(UnivariateRealFunction function)
Acts as if implemented as: |
RealVector |
RealVector.map(UnivariateRealFunction function)
Acts as if implemented as: |
RealVector |
AbstractRealVector.mapToSelf(UnivariateRealFunction function)
Acts as if it is implemented as: |
RealVector |
RealVector.mapToSelf(UnivariateRealFunction function)
Acts as if it is implemented as: |
| Uses of UnivariateRealFunction in org.apache.commons.math.optimization |
|---|
| Methods in org.apache.commons.math.optimization with parameters of type UnivariateRealFunction | |
|---|---|
double |
MultiStartUnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goalType,
double min,
double max)
Find an optimum in the given interval. |
double |
UnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goalType,
double min,
double max)
Find an optimum in the given interval. |
double |
MultiStartUnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goalType,
double min,
double max,
double startValue)
Find an optimum in the given interval, start at startValue. |
double |
UnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goalType,
double min,
double max,
double startValue)
Find an optimum in the given interval, start at startValue. |
| Uses of UnivariateRealFunction in org.apache.commons.math.optimization.fitting |
|---|
| Classes in org.apache.commons.math.optimization.fitting that implement UnivariateRealFunction | |
|---|---|
class |
GaussianDerivativeFunction
The derivative of GaussianFunction . |
class |
GaussianFunction
A Gaussian function. |
class |
HarmonicFunction
Harmonic function of the form f (t) = a cos (ω t + φ) . |
| Methods in org.apache.commons.math.optimization.fitting that return UnivariateRealFunction | |
|---|---|
UnivariateRealFunction |
GaussianFunction.derivative()
Returns the derivative of the function |
| Uses of UnivariateRealFunction in org.apache.commons.math.optimization.univariate |
|---|
| Methods in org.apache.commons.math.optimization.univariate with parameters of type UnivariateRealFunction | |
|---|---|
protected double |
AbstractUnivariateRealOptimizer.computeObjectiveValue(UnivariateRealFunction f,
double point)
Deprecated. in 2.2. Use this replacement instead. |
double |
AbstractUnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goal,
double min,
double max)
Find an optimum in the given interval. |
double |
AbstractUnivariateRealOptimizer.optimize(UnivariateRealFunction f,
GoalType goal,
double min,
double max,
double startValue)
Find an optimum in the given interval, start at startValue. |
void |
BracketFinder.search(UnivariateRealFunction func,
GoalType goal,
double xA,
double xB)
Search new points that bracket a local optimum of the function. |
| Uses of UnivariateRealFunction in org.apache.commons.math.transform |
|---|
| Methods in org.apache.commons.math.transform with parameters of type UnivariateRealFunction | |
|---|---|
double[] |
FastCosineTransformer.inversetransform(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
double[] |
RealTransformer.inversetransform(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
Complex[] |
FastFourierTransformer.inversetransform(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
double[] |
FastSineTransformer.inversetransform(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
double[] |
FastHadamardTransformer.inversetransform(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
double[] |
FastCosineTransformer.inversetransform2(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
Complex[] |
FastFourierTransformer.inversetransform2(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
double[] |
FastSineTransformer.inversetransform2(UnivariateRealFunction f,
double min,
double max,
int n)
Inversely transform the given real function, sampled on the given interval. |
static double[] |
FastFourierTransformer.sample(UnivariateRealFunction f,
double min,
double max,
int n)
Sample the given univariate real function on the given interval. |
double[] |
FastCosineTransformer.transform(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
double[] |
RealTransformer.transform(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
Complex[] |
FastFourierTransformer.transform(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
double[] |
FastSineTransformer.transform(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
double[] |
FastHadamardTransformer.transform(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
double[] |
FastCosineTransformer.transform2(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
Complex[] |
FastFourierTransformer.transform2(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
double[] |
FastSineTransformer.transform2(UnivariateRealFunction f,
double min,
double max,
int n)
Transform the given real function, sampled on the given interval. |
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# of paragraphs
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4
+
Min. quotes per paragraph
-
3
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Max. quotes per paragraph
-
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Start with "Happy little ipsum"
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All routines in the Pic unit are exported qualified (and thus must be prefaced with "Pic.").
| New | Creates a picture from a specified portion of the screen. | |
| Draw | Draws a picture on the screen. | |
| DrawSpecial | Draws a picture on the screen using special effects. | |
| DrawSpecialBack | Draws a picture on the screen while continuing execution using special effects. | |
| Free | Frees up the picture created by using New or FileNew. | |
| FileNew | Creates a picture from a file in an allowed format. | |
| Save | Saves a picture as a file in an allowed format. | |
| ScreenLoad | Displays a file in an allowed format on the screen directly. | |
| ScreenSave | Saves a specified portion of the screen as a file in an allowed format. | |
| Rotate | Creates a new picture by rotating an existing picture. | |
| Scale | Creates a new picture by scaling an existing picture. | |
| Flip | Creates a new picture by flipping an existing picture upside-down. | |
| Mirror | Creates a new mirror-image of an existing picture. | |
| Blend | Creates a new picture by blending two existing pictures together. | |
| Blur | Creates a new picture by blurring an existing pictures. | |
| Width | Returns the width of a picture. | |
| Height | Returns the height of a picture. | |
| Frames | Returns the the number of frames in a multi-frame GIF file. | |
| FileNewFrames | Creates an array of pictures from a multi-frame GIF file. | |
| DrawFrames | Draws a series of pictures on the screen in sequence while continuing execution. | |
| DrawFramesBack | Draws a series of pictures on the screen in sequence. | |
| SetTransparentColor | Sets the color to be ignored when using picMerge mode. | |
| SetTransparentColour | Sets the color to be ignored when using picMerge mode. |


Fantom foundation is made up of a number of repositories. This will guide you through getting your development environment setup.
Though this guide is for the Ubuntu linux; it should be easy to retrofit to others.
Though this guide has been tested on macOS High Sierra; it will probably work on older versions.
Follow this guide on Windows 7+.
All grey background assumes you are running in an activecmd.exe
)
sudo apt update
sudo apt install build-essential git-core tcl jq
Latest XCode and Command Line Tools
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
brew update
brew install git jq
Test that it installed correctly with:
git --version
cl /?
curl https://dl.google.com/go/go1.11.3.linux-amd64.tar.gz -o go.linux-amd64.tar.gz
tar -C /usr/local -xzf go.linux-amd64.tar.gz
sudo bash -c "GOPATH=$HOME/go >> /etc/environment"
brew install go
Official Go installer: go1.11.3.windows-amd64.msi
curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain nightly
Official Rust installer: https://win.rustup.rs/x86_64
rustup set default-host x86_64-pc-windows-msvc
rustup install nightly
rustup default nightly
go get -v github.com/SamuelMarks/batch-ethkeyd="$GOPATH/src/github.com/Fantom-foundation"
mkdir -p "$d"
git clone https://github.com/Fantom-foundation/go-lachesis "$d/go-lachesis"
glide i
set d="%GOPATH%/src/github.com/Fantom-foundation"
md "%d%"
git clone https://github.com/Fantom-foundation/go-lachesis "%d%/go-lachesis"
glide i
Now you have everything you need to orchestrate with fantom-dev.


TRUE LIES A film review by James J. Dibenedetto Copyright 1994 James J. Dibenedetto
First thing--it's a comic book put to live-action film. A $100 million (or more, depending on the source) live-action comic book. It's not realistic in the least, and it's not ashamed. If you're the type of person who says "But there were 10 bad guys shooting at the hero! How could they all miss him?", you're probably not going to enjoy "True Lies".
The plot is pretty simple: Arnold Schwarzenegger is a spy (working for some really-ultra-secret outfit called "Omega Sector", powerful enough that field agent Arnold can get directly connected to the White House in a crisis), whose job is to hunt down terrorists.  The story gets moving as two apparently unrelated plots develop. In one, Arn, along with partner Tom Arnold, are on the trail of a radical terrorist group that might have nuclear weapons. This involves infiltrating a high-class party in Switzerland, and a horse-and- motorcycle chase through Washington, D.C., among other stunts. The second plot is more mundane: Arn thinks his wife is cheating on him. Arn decides to find out for sure, using all the resources at his disposal (wiretaps, bugs in his wife's purse, etc.) to do so. And then ... well, things get complicated, finally resulting in a truly stunning sequence involving helicopters, Harrier jets and people dangling from a crane hundreds of feet in the air.
All in all, it's great fun. The stunts are truly amazing--the Harrier sequence in particular. You can see every penny of the $100 million budget on the screen. And the acting? Big Arnie is good--he's mastered these kind of roles--taking himself and the film just seriously enough not to make it a farce, but no more. And Tom Arnold, as the wisecracking sidekick, is surprisingly good. Jamie Lee Curtis turns in a fine performance, especially when her character gets something to do.
To sum it up, I highly recommend this film. Just don't think about it too deeply.
-- Dr. James J. DiBenedetto - SUNY Buffalo School of Law Class of 1994<EMAIL_ADDRESS>or<EMAIL_ADDRESS>.
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


Help with the PIRCS collaboartion system
You can get help with the BSCW package either with the following PDF or Postscript files (level 2) or proceed to the online help section of the BSCW site itself.
PDF help file
Postscript help file
On-line help docs at the BSCW home
page


Refactored code from "Eat-da-Burger!" to use Sequelize package to handle ORM. Added an additional table which keeps tracks of Customers. Burger table now has a foreign key which references the customer who ate it.
Newly learned: Sequelize
Completed: 8/21/2018
Try it out!Basic CRUD app deployed on Heroku employing MVC paradigm to interact with a MySQL JAWSDB. Users can create a burger which is rendered using Handlebars. Then users can Devour any uneaten burgers. Express handles the HTTP requests.
Newly learned: Handlebars, ORM and MVC paradigms
Completed: 8/14/2018
Try it out!Express server deployed on Heroku that presents you a survey and helps you find a new best friend. Utilizing GET and POST, information is persisted via the Express server and Heroku keeps the app up and running. Want a new friend? Give it a shot!
Newly learned: Express, Heroku
Completed: 8/7/2018
Try it out!Node.js application which interacts with a MySQL docker container to manage inventory for "Bamazon Inc". There are customer, manager, and supervisor files which can manipulate the SQL database in different ways.
Newly learned: Docker, MySQL
Completed: 7/31/2018
Try it out!Play hangman through the command line. Three files make up the application, but running "node index.js" runs the entire program. Test your D&D monster knowledge.
Newly learned: Javascript constructors, importing/exporting files, the inquirer package
Completed: 7/24/2018
Try it out!Language Interpretation and Recognition Interface (LIRI) is able to pull in tweets, query Spotify, get movie info, or make up her own mind. Download, run NPM install, enter in your credentials in the .env, and you are set.
Newly learned: Node.js, NPM
Completed: 7/17/2018
Try it out!You know which state you are in and you want to camp in the next 5 days. Input the state, receive all of its national parks. Chose a park and receive all the campground info and the 5 day forecast.
Newly learned: Google places library, more AJAX, collobrating via GitHub
Completed: 6/30/2018
Try it out!Play rock, paper, scissors against a friend online. You can even chat in realtime (let the mind games begin!). Very minimalist user interface insures that you focus on the game and no extra bells and whistles.
Newly learned: Communicating with servers and Firebase
Completed: 6/26/2018
Try it out!Press a button and receive 10 Doctor Who gifs. You can add your own button as well. Click on the images to make them move.
Newly learned: APIs and AJAX
Completed: 6/19/2018
Try it out!Test your knowledge of the Game of Thrones world. You have 30 seconds per question, with a total of 10 questions.
Newly learned: setInterval
Completed: 6/12/2018
Try it out!Chose a Star Wars character by clicking on the portrait, then chose an enemy. See if you are powerful enough to defeat three enemies.
Newly learned: jQuery
Completed: 6/7/2018
Try it out!The game randomly choses a word from an array once a key is pressed. If you have your volume on, you may here Captain Picard say, "Make it so!"
Newly learned: Javascript
Completed: 5/31/2018
Try it out!


Gardaí confirm unidentified man found in burning car in Lucan was shot a number of times
Gardaí have confirmed a man murdered in Lucan in Dublin on Monday night died after being shot a number of times.
The victim, who still has not been identified, was found in a burning car at Mount Andrew Court at around 7.50pm on Monday night.
Investigators are appealing for anyone who saw the navy Toyota Corolla in the area to come forward.
They suspect the latest gangland murder victim was lured by his own gang associates or someone close to him at the behest of a rival crime boss.
While gardaí believe they know the identity of the victim, they are awaiting the results of DNA tests and dental records to confirm.
Superintendent Paul Dolan from Lucan Garda Station said they now know how he died.
Supt Dolan said: "The body has been identified as the body of a male who died as a result of gunshot wounds. An Garda Síochána are working to identify this person, and all I can say at this stage is that we are following a specific line of inquiry in relation to that."
Investigators are also appealing for information about the car involved.
Supt Dolan said: "The car itself was a navy Toyota car, registration number 05 CW 2225."
It is understood this car was sold on Wednesday, November 13, 2019.
Supt Dolan added: "I am appealing for any person who has seen this car or knows of its whereabouts since the 13th November to contact investigating Gardaí. I am also appealing to any person in Mount Andrew Estate, who saw this car or to any person who witnessed or has dashcam footage in relation to the incident on Monday night 18th November 2019. To help assist people in their recollection, the Ireland v Denmark International Soccer match was taking place at the time."
The victim's partner reported him missing and he is said to have been seen getting into the car that was burned out.
Gardaí are trying to track this car's movements beforehand.
The victim was previously subject to an attempted murder in which he was shot repeatedly, but managed to survive.
READ MORE
Parents left shattered by desecration of sons' grave
Officers arrested key suspects for that attempted murder, including the rival crime boss, and are working on bringing possible conspiracy to murder charges against them.
Gardaí suspect that this rival gang boss managed to convince someone close to the victim, possibly a criminal associate, to lure him to the murder scene.


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Developing apps for mobile phones (android & iOS).
Creating web sites, CRM, ERP systems.
Building form applications runs on windows and mac.
Testing your systems for secure by real attacks.
Drawing and layout design for your web apps.
Improve site traffic using search engines.


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Prudvi
Application Engineer
Amazon, 27-SEP-2018
Experience : 7+ Years
Soft Skills : PeopleSoft and HTML
Education : Post Graduate
Current City : Hyderabad
Intrests : Java and Sports
mail<EMAIL_ADDRESS>About Me:
Joined Amazon as an Appengineer in September 2018.
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Outsourced workers to strike at University College London
Nearly 300 cleaners, porters and security officers will withhold their labour in a dispute over zero-hours contracts.
Cleaners, porters and security officers at a leading British university are to strike in a dispute over zero-hours contracts and other issues.
Members of the Independent Workers Union of Great Britain (IWGB) at University College London (UCL) will walk out on November 19.
The union said it will be the biggest strike of outsourced workers in United Kingdom higher education history.
The IWGB balloted almost 300 workers over their terms and conditions, as part of the union's campaign to end outsourcing and zero-hours contracts at UCL.
Virtually all the cleaners, porters and security officers who voted in a ballot backed strike action.
UCL cleaner Maritza Castillo Calle said: "Outsourcing forces us to work sick and injured, to work all our lives and still retire in poverty."


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This is a free, hosted developer instance of Tsugi. It is reset daily at midnight Eastern. It runs the tip of the master branch of Tsugi. You can test applications on this site, learn how to administer a Tsugi instance, or use it for demonstrations.
For wide open dev servers the following are the defaults for access.
Tsugi admin password: the Japanese character 次 - "next" - all lower case
Database account: The subdomain of the url. For example if the url was https://zap.tsugicloud.org/, the database user would be 'zap'
Database password: db_ followed by the admin password like db_happy or check with the system owner.
If these do not work, contact the creator of this site.
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Java, JavaScript, C/C++, Prolog, Scheme, and Unix/Linux.
Using tools like Adobe Premiere and After Effects, I can create and edit videos to your needs.
Learn MoreI am well rounded with computers so I can answer any other questions you may have.
Learn More


My name is Otoi Ebba, welcome to my portfolio. I am a graduate of CUNY Medgar Ever's College, with a bachelor's in Computer Science. I've learned from many different supplementary resources and have
accumulated several certifications from them. I learn everyday by pursuing new open source and personal projects. I have a proficiency in website and application development using ReactJs. I am currently willing to learn and explore more frameworks and technologies. I am currently learning as I progress in my career.


This inspection checks whether some not-exported package (in any of the model dependencies) is entered in the Import-Package header


Storyline & Game details:
Are you afraid of waking up the evil mummy ?
Three archaeologists discover mysterious items during an excavation. Will they inadvertently wake up the spirits locked up underneath ?
The Cursed box takes you on a tour to the pyramids,
make sure to carry your tools and hieroglyphs scrolls to unearth the puzzle and escape the box !
3 player game
Price: INR 399
Difficultly level - Hard
Time - 90 minutes
Compatibility - Works best in Laptop/PC (Chrome browser)
• Get your team ready!
This is a 3 Player Game, make sure all of you play at the same time!
Each of the players will have a separate login code provided by us and different puzzles to solve.
• Purchase your Box!
Once you choose a box, you will have to make payment and submit your email id.
Upon payment confirmation, an email with the login codes for all 3 players will be sent to the submitted email in 5-6 hours time.
• Escape the Box, together!
Once you have your team members and team login code ready (via email), its time to get your Grey Matter working!
Get in on a Video Call with your team members, via Zoom, MS Teams, G-Meet or Skype to discuss your game plan!
Important: Each player must use only their respective logins and must not share screen !
• Scan the QR Code
QR CODE
Send us INR 399 by Google Pay in the above id.
Enter the screenshot of your payment or the UPI Transaction ID
(12 digit code, that looks like 03********** ) into the form below.
• Payment Form
FORM
• Text/Email us for Payment related Queries!
Email ID<EMAIL_ADDRESS>Phone: +91<PHONE_NUMBER>
(Drop a message with your name, to recieve a call back)
• Team Name | Box name
Best Game!


Uno
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Donate:
Scholarships for Minorities:
Black Lives Matter:
Inspiring Children's Books for African-American Children:
Inspiring Children's Books for Mixed Children:
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| FileItem | This class represents a file or form item that was received within a
multipart/form-data POST request. |
| FileItemFactory | A factory interface for creating FileItem instances. |
| FileItemHeaders | This class provides support for accessing the headers for a file or form
item that was received within a multipart/form-data POST
request. |
| FileItemHeadersSupport | Interface that will indicate that FileItem or FileItemStream
implementations will accept the headers read for the item. |
| FileItemIterator | An iterator, as returned by
FileUploadBase.getItemIterator(RequestContext) . |
| FileItemStream | This interface provides access to a file or form item that was
received within a multipart/form-data POST request. |
| ProgressListener | The ProgressListener may be used to display a progress bar
or do stuff like that. |
| RequestContext | Abstracts access to the request information needed for file uploads. |
| Class Summary | |
|---|---|
| DefaultFileItem | Deprecated. Use DiskFileItem instead. |
| DefaultFileItemFactory | Deprecated. Use DiskFileItemFactory instead. |
| DiskFileUpload | Deprecated. Use ServletFileUpload together with
DiskFileItemFactory instead. |
| FileUpload | High level API for processing file uploads. |
| FileUploadBase | High level API for processing file uploads. |
| MultipartStream | Low level API for processing file uploads. |
| MultipartStream.ProgressNotifier | Internal class, which is used to invoke the
ProgressListener . |
| ParameterParser | A simple parser intended to parse sequences of name/value pairs. |
| Exception Summary | |
|---|---|
| FileItemStream.ItemSkippedException | This exception is thrown, if an attempt is made to read
data from the InputStream , which has been returned
by FileItemStream.openStream() , after
Iterator.hasNext() has been invoked on the
iterator, which created the FileItemStream . |
| FileUploadBase.FileSizeLimitExceededException | Thrown to indicate that A files size exceeds the configured maximum. |
| FileUploadBase.FileUploadIOException | This exception is thrown for hiding an inner
FileUploadException in an IOException . |
| FileUploadBase.InvalidContentTypeException | Thrown to indicate that the request is not a multipart request. |
| FileUploadBase.IOFileUploadException | Thrown to indicate an IOException. |
| FileUploadBase.SizeException | This exception is thrown, if a requests permitted size is exceeded. |
| FileUploadBase.SizeLimitExceededException | Thrown to indicate that the request size exceeds the configured maximum. |
| FileUploadBase.UnknownSizeException | Deprecated. As of commons-fileupload 1.2, the presence of a content-length header is no longer required. |
| FileUploadException | Exception for errors encountered while processing the request. |
| InvalidFileNameException | This exception is thrown in case of an invalid file name. |
| MultipartStream.IllegalBoundaryException | Thrown upon attempt of setting an invalid boundary token. |
| MultipartStream.MalformedStreamException | Thrown to indicate that the input stream fails to follow the required syntax. |
A component for handling HTML file uploads as specified by RFC 1867. This component provides support for uploads within both servlets (JSR 53) and portlets (JSR 168).
While this package provides the generic functionality for file uploads,
these classes are not typically used directly. Instead, normal usage
involves one of the provided extensions of
FileUpload
such as
ServletFileUpload
or
PortletFileUpload
,
together with a factory for
FileItem
instances,
such as
DiskFileItemFactory
.
The following is a brief example of typical usage in a servlet, storing the uploaded files on disk.
public void doPost(HttpServletRequest req, HttpServletResponse res) { DiskFileItemFactory factory = new DiskFileItemFactory(); // maximum size that will be stored in memory factory.setSizeThreshold(4096); // the location for saving data that is larger than getSizeThreshold() factory.setRepository(new File("/tmp")); ServletFileUpload upload = new ServletFileUpload(factory); // maximum size before a FileUploadException will be thrown upload.setSizeMax(1000000); List fileItems = upload.parseRequest(req); // assume we know there are two files. The first file is a small // text file, the second is unknown and is written to a file on // the server Iterator i = fileItems.iterator(); String comment = ((FileItem)i.next()).getString(); FileItem fi = (FileItem)i.next(); // filename on the client String fileName = fi.getName(); // save comment and filename to database ... // write the file fi.write(new File("/www/uploads/", fileName)); }
In the example above, the first file is loaded into memory as a
String
. Before calling the getString
method,
the data may have been in memory or on disk depending on its size. The
second file we assume it will be large and therefore never explicitly
load it into memory, though if it is less than 4096 bytes it will be
in memory before it is written to its final location. When writing to
the final location, if the data is larger than the threshold, an attempt
is made to rename the temporary file to the given location. If it cannot
be renamed, it is streamed to the new location.
Please see the FileUpload User Guide for further details and examples of how to use this package.
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


Elder Filaur:
What!? Well, I'm not surprised. I always thought you looked like a quitter. But don't you still have Mineral Fragments you haven't traded to me? Why not do so before you leave?
Trade Mineral Fragments for reward.
Say you still want to quit.


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§412:10-602 Risk assets. The commissioner shall define by rule what is deemed "risk assets" for the purpose of establishing the regular reserve. [L 1993, c 350, pt of §1]


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Welcome to the EPEE (Electronic Polynomial Educational Experience) proof of concept! This demo is designed to provide a sense of what the finished product will feel like to use and experiment with the interface.
Getting Started
Click on the first + sign in the formula at the bottom left of the screen to select the subexpression (1+b).
To the right of the screen, under "Left Distributivity", click the first rightwards arrow, next to "For all x".
Type the letter a into the box next to "For all y".
Type the letter b into the box next to "For all z".
The result below should read ((1+b)*(a+b))=(((1+b)*a)+((1+b)*b)).
Click on the * in the formula at the bottom left of the screen to select the entire formula.
Click the leftwards arrow next to ((1+b)*(a+b))=(((1+b)*a)+((1+b)*b)), under "Left Distributivity".
To the right of the screen, under "Right Distributivity", enter 1, b, and a into the three text boxes.
Click on the first * in the formula at the bottom left of the screen to select the subexpression ((1+b)*a).
Click the leftwards arrow next to ((1+b)*a)=((1*a)+(b*a)), under "Right Distributivity".
Scroll down in the rules sidebar to find "Identity (*)".
Type the letter a into the textbox next to "For all x".
Click on the first * in the formula at the bottom left of the screen to select the subexpression (1*a).
Click the leftwards arrow next to (1*a) = a, under "Identity (*)".
The Workspace
Below these instructions is the workspace. You should see a mathematical formula there.
Move your mouse over parts of the formula to highlight them, and click to select/deselect subexpressions.
Users will be able to enter their own formulas, or (eventually) load in entire problems to solve.
For now, you can enter your own formula here:
Note: Currently only the variables a, b, c, and d are fully supported.
List of Rules
To the right, below a rough draft of the logo, is a list of currently implemented rules. They will eventually be complete, organized by tabs, and collapsible (thus rewarding users with a small boost of efficiency if they memorize the names of the rules and where they come from).
Using Rules
To use a rule, type a number, variable, or formula into the text boxes for the rule. You can also use the left arrow button to copy the currently selected subexpression into the box.
As you enter values in the text boxes, they will be plugged into the general version of the rule below.
If the currently selected subexpression is the left hand side or right hand side of the specific fact discovered, the right arrow button will use the identity to rewrite the current expression in the workspace.
Future Features
Parentheses which aren't typically drawn due to order of operations will only be drawn when the user moves their mouse over them.
Possibly also including a fade-in effect as here: (2*x)+1.
Support for multiplication by writing things next to each other.
Support for exponents.
Long sums/products will be supported to avoid the need to use associativity.
Users will be able to create their own rules (if they can derive the rules in the system) to streamline common sequences of tasks, such as FOILing.
A special rule for handling all instances of numerical computation will be implemented.
An auto-fill feature will optionally be available for the rules.
Optionally, a menu will appear on selecting a subexpression which will offer a list of applicable rules.
Eventual Goals
Provide a means of introducing the mechanics of algebra to students at the level of College Algebra (Algebra II)
A robust tutorial will guide users through the use of the software.
Notational conveniences will be introduced to simplify formulas.
Subexpression highlighting (particularly in the case where parentheses aren't drawn due to order of operations):
Makes it clear when replacement cannot happen (1+2x does not become 3x)
Rewards students for thinking about how expressions are made of subexpressions/order of operations with efficiency improvements.
Allowing students to make their own rules once they derive them allows them to see variables in their own derivations as places to plug things in.
Students will be able to experiment with rules that aren't true in a "contradiction sandbox", allowing them to get a feel for verifying rules they believe are true.
Facilitate self-discovery of key problem-solving heuristics.
Software encourages distinction between "what rules are allowed" and "what rules will reach the solution".
Facilitate returning to algebra for people who have learned algebra and forgotten it
Offer a wide variety of options for what level to engage with the software at.
Support a wide variety of mathematical environments
Rename to the Formal Algebra Reasoning Toolkit (FART)
Include rules for solving equalities.
Including rules for division also would require including rules for piecewise functions, and boolean logic, to handle situations like (x)(x+1)/(x)(x+1) which is 1 unless x = 0 OR x = -1.
Supporting division also requires a typesetting system for fractions.
Include trigonometric/exponential/logarithmic identities.
Allow function notation: "let f(x) = x+1" creates a new temporary rule allowing one to replace the x in f(x) = x+1 by any formula, and use the result to replace subexpressions.
Include differentiation rules.
Include formal logic rules.
Include linear algebraic rules.
Include modular arithmetic rules (specifcally, add 1+1+...+1 = 0).
Include a typing system to avoid incorrect conclusions (2^(-1) and f^(-1) mean completely different things).
Include highlighting to facilitate the typing system.
Support custom environments.
Allow students at the undergraduate level to perform long verified computations with ease
Common tasks will be able to be optionally streamlined:
A menu on subexpressions will offer various common ways of rewriting them.
Rules will offer an "auto-fill" feature.
LaTeX output will be supported.
Support integration with an online mathematics text
Provide built-in problems.
Integrate a tutorial for using the system with an introduction to algebra.
Provide a safe, stress-free environment for students to practice algebra
Reject integration with graded online evaluations.
Focus on intrinsic rewards (reaching a nice solution at the end of a problem, efficiency rewards for memorizing rules).
No points or "congratulations!"
Implement a wide variety of accessibility features.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
This quick, easy chicken supper looks like you spent hours on it. Also great for using up that glut of summer courgettes.
Preheat oven to 230C/445F/Gas 8.
For the chicken, remove the needles from the rosemary and chop finely. Take the bare woody rosemary stem and sharpen the thickest point to create a skewer.
Flatten the chicken halves slightly with a meat mallet or rolling pin, then season with salt and freshly ground black pepper and sprinkle with the chopped rosemary needles.
Place one slice of fontina on top of each chicken piece, followed by the prosciutto.
Secure the stack with the rosemary branch as you would with a skewer or wooden toothpick.
For the courgettes drizzle one tablespoon of the olive oil into a small ovenproof dish.
Arrange alternate slices of tomato and courgette overlapping each other in the dish and season with salt and freshly ground black pepper.
Drizzle with another one tablespoon olive oil, sprinkle with the marjoram leaves and top with parmesan.
Place into the oven to bake for 4-5 minutes, until the cheese begins to melt and turn golden.
Meanwhile, dredge the bare side of the chicken with plain flour and shake off any excess.
Heat the butter and olive oil in a frying pan over a medium heat. When the butter is foaming add the chicken, flesh-side down first and cook on a medium heat for about two minutes, or until golden-brown, then turn the breast over and cook for one minute on the prosciutto side, until golden.
Turn the chicken breast over again and add the wine to the pan. Heat to boil and reduce the liquid until almost entirely evaporated.
Add a small knob of butter to the pan and melt to thicken the sauce.
Remove the courgettes and tomatoes from the oven and drizzle with the remaining tablespoon of the olive oil before serving.
Pour the sauce over the rested chicken and serve immediately with baked courgette and tomato.


Click on bars to update the chart with new data values, and see color the changes when mouse moving.
Important Label Heading
100%


Macros | |
| #define | DAC_REG_BYTE_MASK (0xFFU) |
| Register Byte Mask. More... | |
| #define | DAC_LOCK_KEY (0xA000U) |
| DAC Lock Key. More... | |
| #define | DAC_LOCK_CONTROL (0x1U) |
| Lock the control register. More... | |
| #define | DAC_LOCK_SHADOW (0x2U) |
| Lock the shadow value register. More... | |
| #define | DAC_LOCK_OUTPUT (0x4U) |
| Lock the output enable register. More... | |
Enumerations | |
| enum | DAC_ReferenceVoltage { DAC_REF_VDAC = 0, DAC_REF_ADC_VREFHI = 1 } |
| enum | DAC_LoadMode { DAC_LOAD_SYSCLK = 0, DAC_LOAD_PWMSYNC = 4 } |
| Values that can be passed to DAC_setLoadMode() as the mode parameter. More... | |
Functions | |
| static uint16_t | DAC_getRevision (uint32_t base) |
| static void | DAC_setReferenceVoltage (uint32_t base, DAC_ReferenceVoltage source) |
| static void | DAC_setLoadMode (uint32_t base, DAC_LoadMode mode) |
| static void | DAC_setPWMSyncSignal (uint32_t base, uint16_t signal) |
| static uint16_t | DAC_getActiveValue (uint32_t base) |
| static void | DAC_setShadowValue (uint32_t base, uint16_t value) |
| static uint16_t | DAC_getShadowValue (uint32_t base) |
| static void | DAC_enableOutput (uint32_t base) |
| static void | DAC_disableOutput (uint32_t base) |
| static void | DAC_setOffsetTrim (uint32_t base, int16_t offset) |
| static int16_t | DAC_getOffsetTrim (uint32_t base) |
| static void | DAC_lockRegister (uint32_t base, uint16_t reg) |
| static bool | DAC_isRegisterLocked (uint32_t base, uint16_t reg) |
| void | DAC_tuneOffsetTrim (uint32_t base, float32_t referenceVoltage) |
| #define DAC_REG_BYTE_MASK (0xFFU) |
Register Byte Mask.
Referenced by DAC_getOffsetTrim(), and DAC_tuneOffsetTrim().
| #define DAC_LOCK_KEY (0xA000U) |
DAC Lock Key.
Referenced by DAC_lockRegister().
| #define DAC_LOCK_CONTROL (0x1U) |
Lock the control register.
Referenced by DAC_isRegisterLocked(), and DAC_lockRegister().
| #define DAC_LOCK_SHADOW (0x2U) |
Lock the shadow value register.
Referenced by DAC_isRegisterLocked(), and DAC_lockRegister().
| #define DAC_LOCK_OUTPUT (0x4U) |
Lock the output enable register.
Referenced by DAC_isRegisterLocked(), and DAC_lockRegister().
| enum DAC_ReferenceVoltage |
Values that can be passed to DAC_setReferenceVoltage() as the source parameter.
| Enumerator | |
|---|---|
| DAC_REF_VDAC |
VDAC reference voltage. |
| DAC_REF_ADC_VREFHI |
ADC VREFHI reference voltage. |
| enum DAC_LoadMode |
Values that can be passed to DAC_setLoadMode() as the mode parameter.
| Enumerator | |
|---|---|
| DAC_LOAD_SYSCLK |
Load on next SYSCLK. |
| DAC_LOAD_PWMSYNC |
Load on next PWMSYNC specified by SYNCSEL. |
|
inlinestatic |
Get the DAC Revision value
| base | is the DAC module base address |
This function gets the DAC revision value.
References ASSERT, DAC_O_REV, DAC_REV_REV_M, and HWREGH.
|
inlinestatic |
Sets the DAC Reference Voltage
| base | is the DAC module base address |
| source | is the selected reference voltage |
This function sets the DAC reference voltage.
The source parameter can have one of two values:
References ASSERT, DAC_CTL_DACREFSEL, DAC_O_CTL, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Sets the DAC Load Mode
| base | is the DAC module base address |
| mode | is the selected load mode |
This function sets the DAC load mode.
The mode parameter can have one of two values:
References ASSERT, DAC_CTL_LOADMODE, DAC_O_CTL, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Sets the DAC PWMSYNC Signal
| base | is the DAC module base address |
| signal | is the selected PWM signal |
This function sets the DAC PWMSYNC signal.
The signal parameter must be set to a number that represents the PWM signal that will be set. For instance, passing 2 into signal will select PWM sync signal 2.
References ASSERT, DAC_CTL_SYNCSEL_M, DAC_CTL_SYNCSEL_S, DAC_O_CTL, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Get the DAC Active Output Value
| base | is the DAC module base address |
This function gets the DAC active output value.
References ASSERT, DAC_O_VALA, DAC_VALA_DACVALA_M, and HWREGH.
|
inlinestatic |
Set the DAC Shadow Output Value
| base | is the DAC module base address |
| value | is the 12-bit code to be loaded into the active value register |
This function sets the DAC shadow output value.
References ASSERT, DAC_O_VALS, DAC_VALS_DACVALS_M, and HWREGH.
|
inlinestatic |
Get the DAC Shadow Output Value
| base | is the DAC module base address |
This function gets the DAC shadow output value.
References ASSERT, DAC_O_VALS, DAC_VALS_DACVALS_M, and HWREGH.
|
inlinestatic |
Enable the DAC Output
| base | is the DAC module base address |
This function enables the DAC output.
References ASSERT, DAC_O_OUTEN, DAC_OUTEN_DACOUTEN, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Disable the DAC Output
| base | is the DAC module base address |
This function disables the DAC output.
References ASSERT, DAC_O_OUTEN, DAC_OUTEN_DACOUTEN, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Set DAC Offset Trim
| base | is the DAC module base address |
| offset | is the specified value for the offset trim |
This function sets the DAC offset trim. The offset value should be a signed number in the range of -128 to 127.
References ASSERT, DAC_O_TRIM, DAC_TRIM_OFFSET_TRIM_M, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Get DAC Offset Trim
| base | is the DAC module base address |
This function gets the DAC offset trim value.
References ASSERT, DAC_O_TRIM, DAC_REG_BYTE_MASK, DAC_TRIM_OFFSET_TRIM_M, and HWREGH.
|
inlinestatic |
Lock write-access to DAC Register
| base | is the DAC module base address |
| reg | is the selected DAC registers |
This function locks the write-access to the specified DAC register. Only a system reset can unlock the register once locked.
The reg parameter can be an ORed combination of any of the following values:
References ASSERT, DAC_LOCK_CONTROL, DAC_LOCK_KEY, DAC_LOCK_OUTPUT, DAC_LOCK_SHADOW, DAC_O_LOCK, EALLOW, EDIS, and HWREGH.
|
inlinestatic |
Check if DAC Register is locked
| base | is the DAC module base address |
| reg | is the selected DAC register locks to check |
This function checks if write-access has been locked on the specified DAC register.
The reg parameter can be an ORed combination of any of the following values:
References ASSERT, DAC_LOCK_CONTROL, DAC_LOCK_OUTPUT, DAC_LOCK_SHADOW, DAC_O_LOCK, and HWREGH.
| void DAC_tuneOffsetTrim | ( | uint32_t | base, |
| float32_t | referenceVoltage | ||
| ) |
Tune DAC Offset Trim
| base | is the DAC module base address |
| referenceVoltage | is the reference voltage the DAC module is operating at. |
This function adjusts/tunes the DAC offset trim. The referenceVoltage value should be a floating point number in the range specified in the device data manual.
References ASSERT, DAC_O_TRIM, DAC_REG_BYTE_MASK, DAC_TRIM_OFFSET_TRIM_M, EALLOW, EDIS, and HWREGH.


Last week saw the final instalment of the serial story Unspeakable Desolation Pouring Down From The Stars. There are four instances of outright plagiarism in the tale, and these are acknowledged in the Afterword. If you would like to try and spot them yourself, wait to follow that link until you have identified the work of Thomas Pynchon, Mary Shelley, Chris Cutler and James Hamilton-Paterson lurking in (or shouting out from) the text.


Package com.restfb
Contains types used to interact with the Facebook
Graph API.
For full documentation and sample code, please see the RestFB documentation.
-
Interface Summary Interface Description ConnectionIterator<T> DefaultFacebookClient.Requestor FacebookClient Specifies how a Facebook Graph API client must operate.FacebookEndpoints Interface for accessing the Facebook Endpoints.JsonMapper Specifies how a Facebook JSON-to-Java (and vice-versa) mapper must operate.WebRequestor Specifies how a class that sendsHTTP
requests to the Facebook API endpoint must operate. -
Class Summary Class Description BinaryAttachment Represents a binary file that can be uploaded to Facebook.Connection<T> Represents a Graph API Connection type.Connection.Itr<T> Iterator over connection pages.DebugHeaderInfo DebugHeaderInfo.BusinessUseCaseUsage business use case based usage object.DebugHeaderInfo.DebugHeaderInfoFactory DebugHeaderInfo.HeaderUsage DebugHeaderInfo.InnerBusinessUseCaseUsage DefaultFacebookClient Default implementation of a Facebook Graph API client.DefaultJsonMapper Default implementation of a JSON-to-Java mapper.DefaultWebRequestor Default implementation of a service that sends HTTP requests to the Facebook API endpoint.ETagWebRequestor WebRequestor with ETag-support.FacebookClient.AccessToken Represents an access token/expiration date pair.FacebookClient.DebugTokenError FacebookClient.DebugTokenInfo Represents the result of aFacebookClient.debugToken(String)
inquiry.Parameter Representation of a Facebook API request parameter.WebRequestor.Response Encapsulates an HTTP response body and status code. -
Enum Summary Enum Description DefaultWebRequestor.HttpMethod FacebookEndpoints.Endpoint Version -
Annotation Types Summary Annotation Type Description Facebook Specifies how a Facebook JSON response attribute maps to a Java field.JsonMapper.JsonMappingCompleted If you apply this annotation to a method of a type mapped byJsonMapper
, it will be called after the mapping operation has been completed.


cdemi's
13 October 2020 |
.NET #dotNet |
Get ready for .NET Conf 2020 Nov 10-12! (dotnetconf.net) ASP.NET .NET Conf .NET Core C# F# Visual Studio Xamarin Roslyn Mobile Development .NET conference .NET community ASP.NET developer |
| .NET Conf is back again this year and will be live streaming to a device near you November 10-12 on www.dotnetconf.net. .NET Conf is a FREE, 3 day virtual developer event organized by the .NET Foundation, the .NET community and Microsoft. This year .NET 5.0 will launch at .NET Conf 2020! We're also celebrating our 10-year anniversary and have lined up some very special guests. Come celebrate and learn about the new release. You won’t want to miss this one.... Read more |
DevOps |
Keeping your WSL Linux instances up to date automatically within Windows 10 (hanselman.com) Linux Win10 |
| Hayden Barnes from Canonical, the folks that work on Ubuntu (lovely blog, check ...... Read more |
Kubernetes #k8s |
Introduction to Kraken, a Chaos Tool for OpenShift/Kubernetes (openshift.com) |
| Chaos engineering helps in boosting confidence in a system's resilience by “breaking things on purpose.” ... Read more |
The Great K8S Migration (redditblog.com) |
| By Alice Wen (u/PineapplePizzaPlease) and Courtney Wang (u/wangofchung) Reddit just celebrated its 15th Cake Day! As with anything in its teenage years, behaviors and circumstances change. Reddit’s system... Read more |
Running database migrations when deploying to Kubernetes: Deploying ASP.NET Core applications to Kubernetes - Part 7 (andrewlock.net) ASP.NET Core Kubernetes Docker DevOps Health Checks |
| In this post I discuss various approaches to running database migrations when deploying to Kubernetes... Read more |
Security #InfoSec |
The Powerful HTTP Request Smuggling 💪 (medium.com) |
| TL;DR: This is how I was able to exploit a HTTP Request Smuggling in a Mobile Device Management (MDM) servers and send any MDM command to…... Read more |
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Understanding Spark Connect API - Part 5: Dataframe Sharing Across Spark Sessions
Understanding Spark Connect API - Part 4: PySpark Example
Understanding Spark Connect API - Part 3: Scala API Example
Understanding Spark Connect API - Part 2: Introduction to Architecture
Understanding Spark Connect API - Part 1: Shortcomings of Spark Driver Architecture
Latest Java Features from a Scala Dev Perspective - Part 5: Java Streams
Latest Java Features from a Scala Dev Perspective - Part 4: Higher Order Functions
Latest Java Features from a Scala Dev Perspective - Part 3: Functional Interfaces
Latest Java Features from a Scala Dev Perspective - Part 2: Lambda Expressions
Latest Java Features from a Scala Dev Perspective - Part 1: Type Inference
Introduction to Spark 3.0 - Part 10 : Ignoring Data Locality in Spark
Data Source V2 API in Spark 3.0 - Part 6 : MySQL Source
Introduction to Spark 3.0 - Part 9 : Join Hints in Spark SQL
Introduction to Spark 3.0 - Part 8 : DataFrame Tail Function
Adaptive Query Execution in Spark 3.0 - Part 2 : Optimising Shuffle Partitions
Adaptive Query Execution in Spark 3.0 - Part 1 : Introduction
Spark Plugin Framework in 3.0 - Part 5: RPC Communication
Spark Plugin Framework in 3.0 - Part 4 : Custom Metrics
Spark Plugin Framework in 3.0 - Part 3 : Dynamic Stream Configuration using Driver Plugin
Introduction to Spark 3.0 - Part 7 : Dynamic Allocation Without External Shuffle Service
Spark Plugin Framework in 3.0 - Part 2 : Anatomy of the API
Spark Plugin Framework in 3.0 - Part 1: Introduction
Introduction to Spark 3.0 - Part 6 : Min and Max By Functions
Introduction to Spark 3.0 - Part 5 : Easier Debugging of Cached Data Frames
Introduction to Spark 3.0 - Part 4 : Handling Class Imbalance Using Weights
Data Source V2 API in Spark 3.0 - Part 5 : Anatomy of V2 Write API
Introduction to Spark 3.0 - Part 3 : Data Loading From Nested Folders
Introduction to Spark 3.0 - Part 2 : Multiple Column Feature Transformations in Spark ML
Introduction to Spark 3.0 - Part 1 : Multi Character Delimiter in CSV Source
Data Source V2 API in Spark 3.0 - Part 4 : In-Memory Data Source with Partitioning
Data Source V2 API in Spark 3.0 - Part 3 : In-Memory Data Source
Data Source V2 API in Spark 3.0 - Part 2 : Anatomy of V2 Read API
Data Source V2 API in Spark 3.0 - Part 1 : Motivation for New Abstractions
Scala Integration Testing with TestContainers Library
Writing Apache Spark Programs in JavaScript
Experiments with GraalVM - Part 5 :Passing Scala Object to JavaScript
Experiments with GraalVM - Part 4 : JavaScript Object to Case Class
Experiments with GraalVM - Part 3 : Invoke JS Functions from JVM
Experiments with GraalVM - Part 2 : Polyglot JavaScript Hello World
Experiments with GraalVM - Part 1 : Introduction
Scala Magnet Pattern
ClickHouse Clustering for Spark Developer
Data Modeling in Apache Spark - Part 2 : Working With Multiple Dates
Data Modeling in Apache Spark - Part 1 : Date Dimension
Dynamic Shuffle Partitions in Spark SQL
Scala Developer Journey into Rust - Part 7 : Type Classes
Scala Developer Journey into Rust - Part 6 : Traits
Multi Source Data Analysis using Spark and Tellius : Meetup Video
Migrating to Spark 2.4 Data Source API
Multiple Column Feature Transformations in Spark ML
Parallel Cross Validation in Spark
Scala Developer Journey into Rust - Part 5: Domain Models
Scala Developer Journey into Rust - Part 4: Algebraic Data Types
Scala Developer Journey into Rust - Part 3: Expression Based Language
Scala Developer Journey into Rust - Part 2 : Type Inference
Scala Developer Journey into Rust - Part 1 : Introduction
Spark on Kubernetes : Native Kubernetes Integration for Spark
Exploring Spark DataSource V2 - Part 8 : Transactional Writes
Exploring Spark DataSource V2 - Part 7 : Meetup Talk
Exploring Spark DataSource V2 - Part 6 : Anatomy of V2 Write API
Exploring Spark DataSource V2 - Part 5 : Filter Push
Exploratory Data Analysis in Spark with Jupyter
Exploring Spark DataSource V2 - Part 4 : In-Memory DataSource with Partitioning
Exploring Spark DataSource V2 - Part 3 : In-Memory DataSource
Exploring Spark DataSource V2 - Part 2 : Anatomy of V2 Read API
Exploring Spark Data Source V2 - Part 1 : Limitations of Data Source V1 API
Converting Spark ML Vector to Numpy Array
Introduction to Spark Structured Streaming - Part 15: Meetup Talk on Time and Window API
Class Imbalance in Credit Card Fraud Detection - Part 3 : Undersampling in Spark
Class Imbalance in Credit Card Fraud Detection - Part 2 : Undersampling in Python
Class Imbalance in Credit Card Fraud Detection - Part 1 : Understanding Effect on Model Accuracy
Analysing Kaggle Titanic Survival Data using Spark ML
Introduction to Spark Structured Streaming - Part 14 : Session Windows using Custom State
Introduction to Spark Structured Streaming - Part 13: Meetup Talk
Introduction to Spark Structured Streaming - Part 12 : Watermarks
Introduction to Spark Structured Streaming - Part 11 : Event Time
Introduction to Spark Structured Streaming - Part 10 : Ingestion Time
Introduction to Spark Structured Streaming - Part 9 : Processing Time Window
Introduction to Spark Structured Streaming - Part 8 : Time Abstraction
Introduction to Spark Structured Streaming - Part 7 : Checkpointing State
Introduction to Spark Structured Streaming - Part 6 : Stream Enrichment using Static Data Join
Introduction to Spark Structured Streaming - Part 5 : File Streams
Introduction to Spark Structured Streaming - Part 4 : Stateless Aggregations
Introduction to Spark Structured Streaming - Part 3 : Stateful WordCount
Introduction to Spark Structured Streaming - Part 2 : Source and Sinks
Introduction to Spark Structured Streaming - Part 1 : DataFrame Abstraction to Stream
Migrating to Spark 2.0 - Part 10 : Second Meetup Talk
Migrating to Spark 2.0 - Part 9 : Hive Integration
Migrating to Spark 2.0 - Part 8 : Catalog API
Migrating to Spark 2.0 - Part 7 : SubQueries
Migrating to Spark 2.0 - Part 6 : Spark ML Transformer API
Migrating to Spark 2.0 - Part 5 : Meetup Talk
Migrating to Spark 2.0 - Part 4 : Cross Joins
Migrating to Spark 2.0 - Part 3 : DataFrame to Dataset
Scalable Spark Deployment using Kubernetes - Part 9 : Service Update and Rollback
Scalable Spark Deployment using Kubernetes - Part 8 : Meetup Talk
Migrating to Spark 2.0 - Part 2 : Built-in CSV Connector
Migrating to Spark 2.0 - Part 1 : Scala Version and Dependencies
Scalable Spark Deployment using Kubernetes - Part 7 : Dynamic Scaling and Namespaces
Scalable Spark Deployment using Kubernetes - Part 6 : Building Spark 2.0 Two Node Cluster
Scalable Spark Deployment using Kubernetes - Part 5 : Building Spark 2.0 Docker Image
Scalable Spark Deployment using Kubernetes - Part 4 : Service Abstractions
Scalable Spark Deployment using Kubernetes - Part 3 : Kubernetes Abstractions
Scalable Spark Deployment using Kubernetes - Part 2 : Installing Kubernetes Locally using Minikube
Scalable Spark Deployment using Kubernetes - Part 1 : Introduction to Kubernetes
Statistical Data Exploration using Spark 2.0 - Part 3 : Outlier Detection using Quantiles
Statistical Data Exploration using Spark 2.0 - Part 2 : Shape of Data with Histograms
Statistical Data Exploration using Spark 2.0 - Part 1 : Five Number Summary
Introduction to Spark 2.0 - Part 7 : Meetup Talk on Spark 2.0 API
Evolution of Apache Spark : Journey of Spark in 1.x Series
Introduction to Spark 2.0 - Part 6 : Custom Optimizers in Spark SQL
Introduction to Spark 2.0 - Part 5 : Time Window in Spark SQL
Introduction to Spark 2.0 - Part 4 : Introduction to Catalog API
Introduction to Spark 2.0 - Part 3 : Porting Code from RDD API to Dataset API
Introduction to Spark 2.0 - Part 2 : Wordcount in Dataset API
Introduction to Spark 2.0 - Part 1 : Spark Session API
Introduction to Flink Streaming - Part 10 : Meetup Talk
Introduction to Flink Streaming - Part 9 : Event Time in Flink
Introduction to Flink Streaming - Part 8 : Understanding Time in Flink Streaming
Introduction to Flink Streaming - Part 7 : Implementing Session Windows using Custom Trigger
Introduction to Flink Streaming - Part 6 : Anatomy of Window API
Introduction to Flink Streaming - Part 5 : Window API in Flink
Introduction to Flink Streaming - Part 3 : Running Streaming Applications in Flink Local Mode
Introduction to Flink Streaming - Part 2 : Discretization of Stream using Window API
Introduction to Flink Streaming - Part 1 : WordCount
Introduction to Spark 2.0 : A Sneak Peek At Next Generation Spark
Interactive Scheduling using Azkaban - Part 1 : Setting up Solo Server
Building Distributed Systems from Scratch - Part 2 : Handling third party libraries
Building Distributed Systems from Scratch - Part 1
Akka HTTP testing
JSON in Akka HTTP
Akka HTTP Hello world
Introduction to Machine learning with Spark
Improving Mobile payments with Real time Spark
Anatomy of Data Frame API : Deep dive into Spark SQL Data Frame API
Anatomy of Data Source API : Deep dive into Spark SQL Data Source API
Structured data processing with Spark SQL - Meetup Video
Analysing CSV data in Spark : Introduction to Spark Data Source API - Part 2
Introduction to Spark Data Source API - Part 1
An Introduction to Spark Streaming- Meetup Video
Handling empty batches in Spark streaming
Anatomy of RDD : Deep dive into spark RDD abstraction - Meetup video
Extending Spark API
Pipe in Spark
A Simple Akka Remote example
Running scala programs on YARN
Implementing shuffle in Mesos
Distributing third party libraries in Mesos
sizeof operator for Java/Scala
Kryo disk serialization in Spark
Custom mesos executor in Scala
Mesos Hello world in Scala
Sbt on ubuntu
Google, it's time - We want Scala for Android
Converting Java collections to Scala


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