identify(1) identify(1) NAME identify - describes the format and characteristics of one or more image files. SYNOPSIS identify [options] input-file OVERVIEW The identify program is a member of the ImageMagick(1) suite of tools. It describes the format and characteristics of one or more image files. It also reports if an image is incomplete or corrupt. The information returned includes the image number, the file name, the width and height of the image, whether the image is colormapped or not, the number of col‐ ors in the image (by default off use -define unique=true option), the number of bytes in the image, the format of the image (JPEG, PNM, etc.), and finally the number of seconds it took to read and process the image. Many more attributes are available with the verbose option. For more information about the identify command, point your browser to file:///usr/share/doc/imagemagick/www/identify.html or http://www.imagemagick.org/script/identify.php. DESCRIPTION Image Settings: -antialias remove pixel-aliasing -authenticate value decrypt image with this password -channel type apply option to select image channels -crop geometry cut out a rectangular region of the image -define format:option define one or more image format options -define unique=true return the number of unique colors in the image -density geometry horizontal and vertical density of the image -depth value image depth -extract geometry extract area from image -features distance analyze image features (e.g. contrast, correla‐ tion) -format "string" output formatted image characteristics -fuzz distance colors within this distance are considered equal -interlace type type of image interlacing scheme -interpolate method pixel color interpolation method -limit type value pixel cache resource limit -list type Color, Configure, Delegate, Format, Magic, Module, Resource, or Type -matte store matte channel if the image has one -monitor monitor progress -ping efficiently determine image attributes -quiet suppress all warning messages -regard-warnings pay attention to warning messages -sampling-factor geometry horizontal and vertical sampling factor -seed value seed a new sequence of pseudo-random numbers -set attribute value set an image attribute -size geometry width and height of image -strip strip image of all profiles and comments -unique display the number of unique colors in the image -units type the units of image resolution -verbose print detailed information about the image -virtual-pixel method virtual pixel access method Image Operators: -negate replace each pixel with its complementary color Miscellaneous Options: -debug events display copious debugging information -help print program options -log format format of debugging information -list type print a list of supported option arguments -version print version information By default, the image format of `file' is determined by its magic number. To specify a particular image format, precede the filename with an image format name and a colon (i.e. ps:image) or specify the image type as the filename suffix (i.e. image.ps). Specify 'file' as '-' for standard input or output. NOTE Although some options appear to modify the file to be identified, the identify command is strictly read only. For instance, the crop option crops the in-memory image and then describes the result. SEE ALSO ImageMagick(1) COPYRIGHT Copyright (C) 1999-2012 ImageMagick Studio LLC. Additional copyrights and licenses apply to this software, see file:///usr/share/doc/imagemag‐ ick/www/license.html or http://www.imagemagick.org/script/license.php ImageMagick Date: 2009/01/10 01:00:00 identify(1)


PORTFOLIO
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This tutorial will demonstrate how to use linux commands.
LINUX
pwd - shows present working directory
ls - lists files in the current directory
cd - changes directory (use cd .. to go up a directory)
Example:
Current directory: /home
cd student
New directory: /home/student
mkdir - makes a directory
Example: mkdir test
Creates test directory in current directory
mv - renames files & directories
Example: mv index.htm index.html
Renames the index.htm file to index.html
rm - removes/deletes files (use -r to remove folder with recursion)
Example: rm file1
Removes file1 from current directory
touch - creates an empty file
Example: touch file1
Creates a file named file1
vi - opens vi editor to edit files
Example to follow


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ui1.ListView
To create a responsive table.
innovaphone.ui1.ListView(container, rowHeight, headercl, arrowcl, vertical)
Creates a table
- container
-
The container where the table will be placed.
- rowHeight
-
The height that will be applied to every row.
- headercl
-
cl to be applied on the header.
- arrowcl
-
cl to be applied on the sort arrow when a column is sorted.
- vertical
-
true if the table will be vertical, false if the table will be horizontal.
addColumn(cl, contentcl, content, id, minWidth, int)
Creates a column
- cl
-
cl to be applied on the header field.
- contentcl
-
cl to be applied on the content.
- content
-
The text to be written into the header field.
- id
-
The id of the column.
- minWidth
-
The minimum width for a column on draggind (resize).
- int
-
true if the content is a number, false if the content is a string. Used on sort by column.
addRow(id, elements, cl, overColor, selectedColor, hidenData, clField)
Creates a row.
- id
-
The id of the row.
- elements
-
The elements of the row.
- cl
-
cl to be applied on the row.
- overColor
-
The background color when the mouse is over.
- selectedColor
-
The background color when the row is selected.
- hidenData
-
Data that we want to attach to the row but not be displayed.
- clField
-
cl to be applied on each element of the row.
removeRow(num)
Removes a row.
- num
-
The row number (starting on "0").
removeRowById(id)
Removes a row.
- id
-
The row id that we have set on addRow.
updateRow(num, rowData, id)
Updates the row data displayed.
- num
-
The row number (starting on "0").
- rowData
-
The array with the new row data.
- id
-
The new id of the row, if we want to change it.
removeColumn(num)
Removes a column.
- num
-
The column number (starting on "0").
hideColumn(num)
Hides a column.
- num
-
The column number (starting on "0").
displayColumn(num)
Displays a column if it was hidden.
- num
-
The column number (starting on "0").
search(text)
Displays just the rows that include text.
- text
-
The text string to search (if the length is 0, all rows are displayed).
resizeTable()
Resizes the table to optimize the width.


"WITNESS" More than one witness was required in criminal cases(Deuteronomy 17:6; 19:15). They were the first to execute the sentence on the condemned (Deuteronomy 13:9; 17:7; 1 Kings 21:13; Matthew 27:1; Acts 7:57, 58). False witnesses were liable to punishment (Deuteronomy 19:16-21). It was also an offence to refuse to bear witness (Leviticus 5:1).
"WITNESS" More than one witness was required in criminal cases(Deuteronomy 17:6; 19:15). They were the first to execute the sentence on the condemned (Deuteronomy 13:9; 17:7; 1 Kings 21:13; Matthew 27:1; Acts 7:57, 58). False witnesses were liable to punishment (Deuteronomy 19:16-21). It was also an offence to refuse to bear witness (Leviticus 5:1).


Buy or rent from our collection!
Why is music important? Music participation provides a unique opportunity for literacy preparation. Whether the children are singing, playing, or listening, teachers direct them to listen and hear in new ways which exercises their aural discrimination. Playing instruments and adding movement to the lessons teaches children about sequential learning which is essential in reading comprehension.
Plato once said that music "is a more potent instrument than any other for education". You will find many teachers of young children who would agree with him. Recent research has found that music uses both sides of the brain, a fact that makes it valuable in all areas of development. Music affects the growth of a child's brain academically, emotionally, physically and spiritually.
Music is academic. For some people, this is the primary reason for providing music lessons to their children. A recent study from the University of California found that music trains the brain for higher forms of thinking. Second graders who were given music lessons scored 27% higher on proportional math and fractions tests than children who received no special instruction. Research indicates that musical training permanently wires a young mind for enhanced performance.
Music is physical. Music can be described as a sport. Learning to sing and keep rhythm develops coordination. The air and wind power necessary to blow a flute, trumpet or saxophone promotes a healthy body.
Music is emotional. Music is an art form. We are emotional beings and every child requires an artistic outlet. Music may be your child's vehicle of expression.
Music is for life. Most people can't play soccer, or football at 70 or 80 years of age but they can sing. And they can play piano or some other instrument.
Did you know that music making is part of what makes humans human? Every culture makes music. Not only that, every past culture has made music too. Musical instruments are amongst the oldest man-made objects ever found. For example, there are flutes around 37,000 years old and perhaps even older!
Compare this with reading and writing. The earliest forms of writing are no more than about 3500 years old. And many cultures of the world still do not read or write.
Or how about this? Scientists have recently discovered that music affects many parts of our brain very deeply (grown-ups can look at the book This is Your Brain On Music by Daniel Levitin to find out more).  Trying singing ‘Happy Birthday’ or a Christmas song and you will understand. What do these tunes make you think of? How do they make you feel? You’ll be filled with all sorts of memories and feelings when you hear these tunes—many more than would if you simply said the words ‘birthday’ or ‘Christmas’.
Music gets under your skin. It creates strong feelings. And it creates strong memories.
Music is a language. It is a language for all humans. It is a language that is there when normal language is of little use.


|
Drake
|
Complete set of parameters for an endpoint of a connection, specified in the world frame. More...
#include <drake/automotive/maliput/multilane/connection.h>
Public Member Functions | |
| Endpoint ()=default | |
| Endpoint (const EndpointXy &xy, const EndpointZ &z) | |
| Endpoint | reverse () const |
| Returns an Endpoint with reversed direction. More... | |
| const EndpointXy & | xy () const |
| Returns the subset of parameters pertaining to the xy ground-plane. More... | |
| const EndpointZ & | z () const |
| Returns the subset of parameters pertaining to out-of-ground-plane aspects. More... | |
| EndpointZ & | get_mutable_z () |
Implements CopyConstructible, CopyAssignable, MoveConstructible, MoveAssignable | |
| Endpoint (const Endpoint &)=default | |
| Endpoint & | operator= (const Endpoint &)=default |
| Endpoint (Endpoint &&)=default | |
| Endpoint & | operator= (Endpoint &&)=default |
Complete set of parameters for an endpoint of a connection, specified in the world frame.
It comprises two subsets of parameters: those pertaining only to the xy ground-plane, and those pertaining to out-of-plane aspects of an endpoint.
|
default |
|
inline |
|
inline |
|
inline |
Returns the subset of parameters pertaining to the xy ground-plane.
|
inline |
Returns the subset of parameters pertaining to out-of-ground-plane aspects.


{% extends "layout.html" %} {% block page_title %} Example - Forms {% endblock %} {% block content %} Back Do you have a citizen service number? Do you have a Dutch DigiD? Yes No {% endblock %}


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Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
-1- IN THE HIGH COURT OF KARNATAKA AT BENGALURU DATED THIS THE 2nd DAY OF AUGUST, 2019 PRESENT THE HON'BLE MR.ABHAY S. OKA, CHIEF JUSTICE AND THE HON'BLE MR.JUSTICE BELLUNKE A. S. WRIT PETITION NO. 31494 / 2019 (GM - POL) BETWEEN: M/S. JASKY EXPORTS PRIVATE LIMITED REP. BY ITS DIRECTOR SHRI. JOHN JOSEPH AGE 42 YEARS SY.NO.91/3, SHED 1 & 2 DRUVA INDUSTRIAL ESTATE CHEEMASANDRA VIRGONAGAR POST BANGALORE - 560 049 ... PETITIONER (BY SHRI RAGHAVENDRA B. HANJER, ADVOCATE) AND: 1. STATE OF KARNATAKA REP. BY ITS SECRETARY DEPARTMETN OF FOREST ENVIORNMENT AND ECOLOGY KARNATAKA GOVERNMENT SECRETARIAT 4TH FLOOR, GATE NO.2 M.S. BUILDING BANGALORE - 560 001 -2- 2. THE KARNATAKA STATE POLLUTION CONTROL BOARD REP. BY ITS MEMBER SECRETARY PARISARA BHAVAN, 1ST TO 5TH FLOOR, NO.49 CHURCH STREET BANGALORE - 560 001 ... RESPONDENTS (BY SHRI S.S. MAHENDRA, AGA FOR R1; SHRI GURURAJ JOSHI, ADVOCATE FOR R2) --- THIS WRIT PETITION IS FILED UNDER ARTICLES 226 AND 227 OF THE CONSTITUTION OF INDIA, PRAYING TO QUASH THE CLOSURE DIRECTIONS DATED 19.07.2019 (ANNEXURE-A) AND ETC. THIS PETITION COMING ON FOR PRELIMINARYHEARING THIS DAY, CHIEF JUSTICE MADE THE FOLLOWING: ORDER
The impugned order dated 19th July 2019 has been made in exercise of the powers under Section 33(A) of the Water (Prevention and Control of Pollution) Act, 1974 (for short 'the said Act of 1974'). A statutory remedy under Section 33(B) of the said Act of 1974 is available to the petitioner which can be said to be an efficacious remedy.
2. The submission of the learned counsel appearing for the petitioner is that there is a breach of the principles of natural justice. If that be so, the said contention can be taken by the petitioner in the statutory remedy. -3-
3. Accordingly, we dispose of the writ petition by granting liberty to the petitioner to adopt the statutory remedy in accordance with law. All contentions are kept open.
Sd/-
CHIEF JUSTICE Sd/-
JUDGE SN


WhatsApp broadens call waiting option to Android
by Yanitsa BoyadzhievaWhatsApp reportedly extended a call waiting feature to Android devices, a little more than a week after offering the option to those on iOS smartphones, in response to user requests.
In an update, the company added the option for users to be informed of incoming calls while already using WhatsApp to talk, enabling them to stay on the current call or end it in favour of the new one.
Previously incoming calls were automatically rejected if a user was already using the app to speak.
WhatsApp enabled the function for iOS users at end-November, with Android now added as part of a broader update of the app currently being deployed.
Privacy changes are also incorporated in the updgrade, including the ability for users to control who can add them a group chat, along with the introduction of biometric security to open the app.
Voice calls were introduced in WhatsApp in February 2015, followed by a video calling feature in November 2016. In July 2018, the company announced users spent more than 2 billion minutes on voice and video calls per day.
Last month, WhatsApp was upgraded with a feature enabling businesses to create new product catalogue pages.


|
SideCar
|
Collection of Channel objects. More...
#include </Users/howes/src/sidecar/IO/Channel.h>
Public Types | |
| using | Container = std::vector< Channel > |
Public Member Functions | |
| ChannelVector () | |
| Default constructor. | |
| size_t | size () const |
| Obtain the number of channels in the container. More... | |
| bool | empty () const |
| Determine if the container is empty. More... | |
| void | add (const Channel &channel) |
| Add a new Channel object to the end of the collection. More... | |
| const Channel & | getChannel (size_t index) const |
| Obtain the Channel object at a given index of the container. More... | |
| size_t | findName (const std::string &name) const |
| Obtain the index of the first Channel object that has a given name. More... | |
| const Channel & | getChannel (const std::string &name) const |
| Obtain the Channel object at a given index of the container. More... | |
| bool | containsChannel (const std::string &name) const |
| Determine if a given name exists in the container. More... | |
| void | updateSendersUsingData (bool value) |
| Invoke Channel::updateSenderUsingData() for each Channel in this container. More... | |
| bool | areAnyRecipientsUsingData () const |
| Determine if there are any downstream recipients that demand data from the channel's sender. More... | |
Static Public Member Functions | |
| static Logger::Log & | Log () |
Collection of Channel objects.
Note that the collection holds actual Channel objects, not their pointers. Currently, the SideCar software only supports adding Channel objects, and most Tasks only have one input or one output, so most ChannelVector objects are very small. If these operating characteristics change, we should reconsider the types held in a ChannelVector, possibly holding a boost::shared_ptr<Channel> instead.
| void ChannelVector::add | ( | const Channel & | channel | ) |
Add a new Channel object to the end of the collection.
| channel | object to append |
Definition at line 36 of file Channel.cc.
References SideCar::IO::Channel::getName(), LOGINFO, and Logger::ProcLog::thrower().
| bool ChannelVector::areAnyRecipientsUsingData | ( | ) | const |
Determine if there are any downstream recipients that demand data from the channel's sender.
Definition at line 77 of file Channel.cc.
References SideCar::IO::Channel::areAnyRecipientsUsingData().
|
inline |
|
inline |
| size_t ChannelVector::findName | ( | const std::string & | name | ) | const |
Obtain the index of the first Channel object that has a given name.
| name | the Channel name to look for |
Definition at line 51 of file Channel.cc.
References SideCar::IO::Channel::getName(), and LOGINFO.
|
inline |
Obtain the Channel object at a given index of the container.
| index | location to fetch |
Definition at line 164 of file Channel.h.
Referenced by SideCar::IO::Task::doClearStatsRequest().
|
inline |
|
inline |
Obtain the number of channels in the container.
Definition at line 144 of file Channel.h.
Referenced by SideCar::IO::Task::doClearStatsRequest().
| void ChannelVector::updateSendersUsingData | ( | bool | value | ) |
Invoke Channel::updateSenderUsingData() for each Channel in this container.
| value | the new value to use |
Definition at line 64 of file Channel.cc.
References LOGINFO.


SF_DECONVOLVE Documentation¶
This code implements the algorithm described in Farrens et al. (2017) to deconvolve images using sparsity or low-rank approximation regularisation. A short summary of this paper is available here.
Contents¶
Introduction¶
This repository contains a Python code designed for PSF deconvolution and analysis.
The directory lib
contains several primary functions and classes, but the
majority of the optimisation and analysis tools are provided in
sf-tools.
Package Contents¶
Dependencies¶
Required Packages¶
In order to run the code in this repository the following packages must be installed:
- Python [Tested with v 2.7.11 and 3.6.3]
- Numpy [Tested with v 1.13.3]
- Scipy [Tested with v 0.18.1]
- Future [Tested with v 0.16.0]
- Astropy [Tested with v 1.3]
- sf-tools [Tested with v 1.0]
- The current implementation of wavelet transformations additionally requires
the
mr_transform.cc
C++ script from the Sparse2D library in the iSAP package [Tested with v 3.1]. These C++ scripts will be need to be compiled in order to run (see iSAP Documentation for details). Note: The low-rank approximation method can be run purely in Python without the Sparse2D binaries.
Optional Packages¶
The following packages can optionally be installed to add extra functionality:
- Matplotlib [Tested with v 2.0.2]
- Termcolor [Tested with v 1.1.0]
Execution¶
The primary code is an executable script called sf_deconvolve.py
which is
designed to take an observed (i.e. with PSF effects and noise) stack of
galaxy images and a known PSF, and attempt to reconstruct the original images.
The input format are Numpy binary files (.npy
) or FITS image files (.fits
).
Input Format¶
The input files should have the following format:
- Input Images: This should be either a Numpy binary or a FITS file containing a 3D array of galaxy images. e.g. for a sample of 10 images, each with size 41x41, the shape of the array should be [10, 41, 41].
- Input PSF(s): This should be either a Numpy binary or a FITS file containing a 2D array (for a fixed PSF) or a 3D array (for a spatially varying PSF) of PSF images. For the spatially varying case the number of PSF images must match the number of corresponding galaxy images. e.g. For a sample of 10 images the codes expects 10 PSFs.
See the files provided in the examples
directory for reference.
Running the executable script¶
The code can be run in a terminal (not in a Python session) as follows:
$ sf_deconvolve.py -i INPUT_IMAGES.npy -p PSF.npy -o OUTPUT_NAME
Where INPUT_IMAGES.npy
denotes the Numpy binary file containing the stack
of observed galaxy images, PSF.npy denotes the PSF corresponding to each
galaxy image and OUTPUT_NAME
specifies the output path and file name.
Alternatively the code arguments can be stored in a configuration file (with
any name) and the code can be run by providing
the file name preceded by a @
.
$ sf_deconvolve.py @config.ini
An example configuration file is provided in the examples
directory.
Running the code in a Python session¶
The code can be run in an active Python session in two ways. For either
approach first import sf_deconvolve
:
>>> import sf_deconvolve
The first approach simply runs the full script where the command line arguments can be passed as a list of strings:
>>> sf_deconvolve.main(['-i', 'INPUT_IMAGES.npy', '-p', 'PSF.npy', '-o', 'OUTPUT_NAME'])
The second approach assumes that the user has already has read the images and PSF(s) into memory and wishes to return the deconvolution results to memory:
>>> opts = vars(sf_deconvolve.get_opts(['-i', 'INPUT_IMAGES.npy', '-p', 'PSF.npy', '-o', 'OUTPUT_NAME']))
>>> primal_res, dual_res, psf_res = sf_deconvolve.run(INPUT_IMAGES, INPUT_PSFS, **opts)
Where INPUT_IMAGES
and INPUT_PSFS
are both Numpy arrays. The resulting
deconvolved images will be saved to the variable primal_res
.
In both cases it is possible to read a predefined configuration file.
>>> opts = vars(sf_deconvolve.get_opts(['@config.ini']))
>>> primal_res, dual_res, psf_res = sf_deconvolve.run(INPUT_IMAGES, INPUT_PSFS, **opts)
Example¶
The following example can be run on the sample data provided in the example
directory.
This example takes a sample of 100 galaxy images (with PSF effects and added noise) and the corresponding PSFs, and recovers the original images using low-rank approximation via Condat-Vu optimisation.
$ sf_deconvolve.py -i example_image_stack.npy -p example_psfs.npy -o example_output --mode lowr
The example can also be run using the configuration file provided.
The result will be two Numpy binary files called example_output_primal.npy
and example_output_dual.npy
corresponding to the primal and dual variables
in the splitting algorithm. The reconstructed images will be in the
example_output_primal.npy
file.
The example can also be run with the FITS files provided.
Code Options¶
Required Arguments¶
- -i INPUT, –input INPUT: Input data file name.  File should be a Numpy binary containing either: (a) a single PSF (i.e. a 2D array for fixed format) or (b) a stack of PSFs corresponding to each of the galaxy images (i.e. a 3D array for obj_var format).
Optional Arguments¶
- -h, –help: Show the help message and exit.
- -v, –version: Show the program’s version number and exit.
- -q, –quiet: Suppress verbose for each iteration.
- -o, –output: Output file name. If not specified output files will placed in input file path.
- –output_format Output file format [npy or fits].
Initialisation:
- -k, –current_res: Current deconvolution results file name (i.e. the file containing the primal results from a previous run).
- –noise_est: Initial estimate of the noise standard deviation in the observed galaxy images. If not specified this quantity is automatically calculated using the median absolute deviation of the input image(s).
Optimisation:
- -m, –mode {all,sparse,lowr,grad}: Option to specify the optimisation mode [all, sparse, lowr or grad]. all performs optimisation using both low-rank approximation and sparsity, sparse using only sparsity, lowr uses only low-rank and grad uses only gradient descent. (default: lowr)
- –opt_type {condat,fwbw,gfwbw}: Option to specify the optimisation method to be implemented [condat, fwbw or gfwbw]. condat implements the Condat-Vu proximal splitting method, fwbw implements Forward-Backward splitting with FISTA speed-up and gfwbw implements the generalised Forward-Backward splitting method. (default: condat)
- –n_iter: Number of iterations. (default: 150)
- –cost_window: Window to measure cost function (i.e. interval of iterations for which cost should be calculated). (default: 1)
- –convergence: Convergence tolerance. (default: 0.0001)
- –no_pos: Option to turn off positivity constraint.
- –grad_type: Option to specify the type of gradient [psf_known, psf_unknown, none]. psf_known implements deconvolution with PSFs provided, psf_unknown simultaneously improves the PSF while performing the deconvolution, none implements deconvolution without gradient descent (for testing purposes only). (default: psf_known)
Low-Rank Aproximation:
- –lowr_thresh_factor: Low rank threshold factor. (default: 1)
- –lowr_type: Type of low-rank regularisation [standard or ngole]. (default: standard)
- –lowr_thresh_type: Low rank threshold type [soft or hard]. (default: hard)
Sparsity:
- –wavelet_type: Type of Wavelet to be used (see iSAP Documentation). (default: 1)
- –wave_thresh_factor: Wavelet threshold factor. (default: [3.0, 3.0, 4.0])
- –n_reweights: Number of reweightings. (default: 1)
PSF Estimation
- –lambda_psf: Regularisation control parameter for PSF estimation. (default: 1.0)
- –beta_psf: Gradient step for PSF estimation. (default: 1.0)
Condat Algorithm:
- –relax: Relaxation parameter (rho_n in Condat-Vu method). (default: 0.8)
- –condat_sigma: Condat proximal dual parameter. If the option is provided without any value, an appropriate value is calculated automatically. (default: 0.5)
- –condat_tau: Condat proximal primal parameter. If the option is provided without any value, an appropriate value is calculated automatically. (default: 0.5)
Testing:
- -c, –clean_data: Clean data file name.
- -r, –random_seed: Random seed. Use this option if the input data is a randomly selected subset (with known seed) of the full sample of clean data.
- –true_psf: True PSFs file name.
- –kernel: Standard deviation of pixels for Gaussian kernel. This option will multiply the deconvolution results by a Gaussian kernel.
- –metric: Metric to average errors [median or mean]. (default: median)
Troubleshooting¶
- If you get the following error:
ERROR: svd() got an unexpected keyword argument 'lapack_driver'
Update your Numpy and Scipy installations
$ pip install --upgrade numpy
$ pip install --upgrade scipy


Movie Title
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Lorem ipsum dolor sit amet consectetur adipisicing elit. Temporibus magni beatae delectus! In voluptatibus minus officiis velit. Cupiditate ea delectus eveniet consectetur nobis vero reiciendis cumque minima amet, provident repellat?Card title
Some quick example text to build on the card title and make up the bulk of the card's content.
Card title
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Card title
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Tite rejects criticism of Rodrygo’s lack of playing time with Brazil
by FSA EditorRodrygo Goes played just 21 minutes across two friendlies for Brazil, and Tite explained the reason behind his decision.
Tite rejected criticism of his decision to play Rodrygo Goes for just two minutes in Brazil’s 3-0 win over South Korea on Tuesday.
The Brazil coach said on Monday he would be patient with the teenage forward, who has made an impressive start to life at Real Madrid.
Rodrygo has scored twice in four LaLiga appearances for Madrid and notched a hat-trick in their 6-0 Champions League demolition of Galatasaray this month.
The 18-year-old got 19 minutes on his debut in the 1-0 loss to Argentina on Friday and received even less playing time in Abu Dhabi.
“It’s one thing to throw Rodrygo into a system that’s already structured, like Real’s. It’s another thing to put him in a team that is being reassembled, even if he was doing the same job in the same position,” said Tite.
“It was so hard to organise for the team for today and they responded well. They were close to scoring a fourth and a fifth.
“It was a chance for Fabinho, Renan Lodi and Militao. They earned the chance and asserted themselves. Could it have been Rodrygo? Yes, but I preserved the continuity and the good moment of the team in the game.”


|
Copyright 2013-01-06 Werner Randelshofer | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object java.lang.Number org.monte.media.math.Rational
public class Rational
Represents a TIFF RATIONAL number.
Two LONGs 32-bit (4-byte) unsigned integer: the first represents the numerator of a fraction; the second, the denominator.
Invariants:
| Field Summary | |
|---|---|
static Rational |
ONE
|
static long |
serialVersionUID
|
static Rational |
ZERO
|
| Constructor Summary | |
|---|---|
Rational(long numerator)
|
|
Rational(long numerator,
long denominator)
|
|
Rational(Rational r)
|
| Method Summary | |
|---|---|
Rational |
add(Rational that)
|
Rational |
ceil(long d)
Returns the closest rational with the specified denominator which is greater or equal than this number. |
int |
compareTo(Rational that)
return { -1, 0, +1 } if a < b, a = b, or a > b. |
Rational |
divide(Rational that)
|
double |
doubleValue()
|
boolean |
equals(java.lang.Object obj)
|
float |
floatValue()
|
Rational |
floor(long d)
Returns the closest rational with the specified denominator which is smaller or equal than this number. |
long |
getDenominator()
|
long |
getNumerator()
|
int |
hashCode()
|
int |
intValue()
|
Rational |
inverse()
|
boolean |
isLessOrEqualZero()
|
boolean |
isZero()
|
long |
longValue()
|
static Rational |
max(Rational a,
Rational b)
|
static Rational |
min(Rational a,
Rational b)
|
Rational |
multiply(long integer)
|
Rational |
multiply(Rational that)
|
Rational |
negate()
|
Rational |
round(long d)
|
Rational |
subtract(Rational that)
Warning. |
java.lang.String |
toDescriptiveString()
|
java.lang.String |
toString()
|
static Rational |
valueOf(java.math.BigInteger num,
java.math.BigInteger den)
|
static Rational |
valueOf(double d)
|
static Rational |
valueOf(long num,
long den)
|
static Rational |
valueOf(java.lang.String str)
Parses a string. |
| Methods inherited from class java.lang.Number |
|---|
byteValue, shortValue |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final Rational ONE
public static final Rational ZERO
public static final long serialVersionUID
| Constructor Detail |
|---|
public Rational(long numerator)
public Rational(long numerator, long denominator)
public Rational(Rational r)
| Method Detail |
|---|
public long getNumerator()
public long getDenominator()
public Rational add(Rational that)
public Rational subtract(Rational that)
public Rational negate()
public Rational inverse()
public Rational floor(long d)
public Rational ceil(long d)
public Rational multiply(Rational that)
public Rational multiply(long integer)
public Rational divide(Rational that)
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String toDescriptiveString()
public int intValue()
intValue
in class java.lang.Number
public long longValue()
longValue
in class java.lang.Number
public float floatValue()
floatValue
in class java.lang.Number
public double doubleValue()
doubleValue
in class java.lang.Number
public boolean equals(java.lang.Object obj)
equals
in class java.lang.Object
public int compareTo(Rational that)
public int hashCode()
hashCode
in class java.lang.Object
public static Rational max(Rational a, Rational b)
public static Rational min(Rational a, Rational b)
public boolean isZero()
public boolean isLessOrEqualZero()
public static Rational valueOf(double d)
public static Rational valueOf(long num, long den)
public static Rational valueOf(java.math.BigInteger num, java.math.BigInteger den)
public Rational round(long d)
public static Rational valueOf(java.lang.String str)
java.lang.NumberFormatException
- if str can not be parsed.
|
Copyright 2013-01-06 Werner Randelshofer | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


|
KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
This is the definition dual lagrange multiplier operators according to the work of Alexander Popp: https://www.lnm.mw.tum.de/staff/alexander-popp/. More...
#include <mortar_classes.h>
Public Member Functions | |
Operations | |
| void | Initialize () |
| This method initialized the operators. More... | |
| void | CalculateAeComponents (KinematicVariables &rKinematicVariables, const double rIntegrationWeight) |
| Calculates the Ae components necessary to compute the Phi_LagrangeMultipliers shape functions. More... | |
| bool | CalculateAe (GeometryMatrixType &Ae) |
| Calculates the matrix Ae. To avoid problems in the inversion the matrix is normalized. More... | |
| template<class TArray > | |
| GeometryMatrixType | ComputeDe (const TArray &N1, const double detJ) const |
| Calculates the matrix De. More... | |
| void | PrintInfo (std::ostream &rOStream) const |
| Print information about this object. More... | |
Type Definitions | |
| using | KinematicVariables = MortarKinematicVariables< TNumNodes, TNumNodesMaster > |
| The kinematic variables class. More... | |
| using | GeometryMatrixType = BoundedMatrix< double, TNumNodes, TNumNodes > |
| The bounded matrix employed class. More... | |
| KRATOS_CLASS_POINTER_DEFINITION (DualLagrangeMultiplierOperators) | |
| Counted pointer of DualLagrangeMultiplierOperators. More... | |
Life Cycle | |
| GeometryMatrixType | Me |
| The auxiliary operators needed to build the dual LM Ae operator. More... | |
| GeometryMatrixType | De |
| DualLagrangeMultiplierOperators () | |
| virtual | ~DualLagrangeMultiplierOperators () |
Serialization | |
| class | Serializer |
This is the definition dual lagrange multiplier operators according to the work of Alexander Popp: https://www.lnm.mw.tum.de/staff/alexander-popp/.
In particular the thesis of contact mechanics based in mortar method available at: https://mediatum.ub.tum.de/?id=1109994 In order to compute the dual LM shape function the Ae operator must be computed, which depends of the Me and De operators. Phi = Ae * NSlave. In a similar way to the mortar operators, the De corresponds with a diagonal operator and Me with a sparse operator respectively. Ae = De * inv(Me) Popp thesis page 69 and following
| TNumNodes | The number of nodes of the slave |
| TNumNodesMaster | The number of nodes of the master |
| using Kratos::DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster >::GeometryMatrixType = BoundedMatrix<double, TNumNodes, TNumNodes> |
The bounded matrix employed class.
| using Kratos::DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster >::KinematicVariables = MortarKinematicVariables<TNumNodes, TNumNodesMaster> |
The kinematic variables class.
|
inline |
|
inlinevirtual |
|
inline |
Calculates the matrix Ae. To avoid problems in the inversion the matrix is normalized.
Popp thesis page 70. Equation 3.65
| Ae | The dual Lagrange Multiplier operator |
|
inline |
Calculates the Ae components necessary to compute the Phi_LagrangeMultipliers shape functions.
For that it integrates De and Me. Popp thesis page 70 eq. 3.65
| rKinematicVariables | The kinematic variables |
| rIntegrationWeight | The integration weight considered |
|
inline |
Calculates the matrix De.
| N1 | The shape function |
| detJ | The jacobian of the geometry |
|
inline |
This method initialized the operators.
| Kratos::DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster >::KRATOS_CLASS_POINTER_DEFINITION | ( | DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster > | ) |
Counted pointer of DualLagrangeMultiplierOperators.
|
inline |
Print information about this object.
|
friend |
| GeometryMatrixType Kratos::DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster >::De |
| GeometryMatrixType Kratos::DualLagrangeMultiplierOperators< TNumNodes, TNumNodesMaster >::Me |
The auxiliary operators needed to build the dual LM Ae operator.


ME & ISAAC NEWTON A film review by Norm Schrager Copyright 2000 filmcritic.com filmcritic.com
Michael Apted, master of the forward-thinking 7 Up series (42 Up has just been released on video), now offers up a documentary about ambitious people like himself. Really ambitious people.
Apted's Me & Isaac Newton brings us inside seven groundbreaking scientific minds. We get to know their studies, and we also get to know them. But what begins as fascinating documentary greatness fizzles down to a lengthy, anti-climactic ending. Insert your own Big Bang joke here.
The film starts off reflecting Apted's skill as a storyteller and filmmaker, with an almost wondrous feel to the introduction. The seven masterminds explain why they are so eager -- practically desperate -- to figure out the world. Meanwhile, appropriate imagery slowly fills the screen -- a cool, blue universe or a shaking collection of cells, ironic combinations of the literal and abstract.
 Man, you could get smart just standing near these people.
In getting them to the big screen, Apted does a couple of things right: first, he works within a strong formula, helpful due to the size of the group (the same size as his 1997 companion film, Inspirations). First we learn of the participants' childhoods and early interests (some stories are a hoot), and we then get a glimpse into their work and the hopes that have sprung from them. Second, Apted has really picked the right people for us to meet. At least three of them (the physicist, primatologist, and water chemist) could easily have had substantial, individual biographies made just about them.
But at a point late in the film, Me & Isaac Newton succumbs to that liability of all documentaries: it has a filmmaker that appears too close to the subject matter. The result, as it seems here, is that Apted doesn't know when to stop, forgetting that you can give too much of a good thing. In my opinion, the scientists provide nothing too revealing after about 90 minutes, and the movie runs about 20 minutes beyond that.
But that first hour-and-a-half makes for a classic documentary. The subject matter is vital, the people involved are smart, easy to listen to, and full of energy, and the director carefully weaves the first-person stories to highlight their variety, similarities, and originality. There were at least three times during the film where I found a revelation or idea to be just incredible.
Why can't we break through to the 10th dimension? How come we learn language in a few years, and not thirty minutes? What is the next disease to be conquered? Apted's subjects ask these questions, and prepare to answer them like very few people in the world. But why are they doing so on the big screen? The film's run is very limited, so one can assume that the motive is Oscar-driven, and once the movie loses its punch toward the end, that statue seems unlikely.
For all its meaningful, insightful knowledge, Me & Isaac Newton doesn't have to be seen in a theater. I would have been just as happy seeing it on PBS or Discovery.

The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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Related links: index of all rec.arts.movies.reviews reviews


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development environment today
- there is a manual somewhere
- download lots of software & install it at the correct location
- modify some files (Tomcat configuraton, users, etc.)
- ... other annoying stuff
- ... develop, after you have tried it several times because you had some typo somewhere


Boy, 13, executed teen girl because he feared he got her pregnant
by Lee Brown(NEW YORK POST) — A 13-year-old boy murdered a teen girl — because he mistakenly believed she was pregnant with his child, according to reports.
The teen, now 14, admitted in juvenile court to murdering 14-year-old Sylvia McGee, who was shot in the head in March just a block from her home in Canton, Ohio, according to People.
The killer, who was not identified because of his age, believed the girl was pregnant with his child, prosecutors say — even though the autopsy showed she was not.
“That is what I believe got this whole thing started,” Assistant Prosecutor Michelle Cordova said, noting McGee was not the boy’s girlfriend, the Canton Repository reported.
“There was no evidence of any other reason for this,” she said, without giving details of why he believed the girl was pregnant, the outlet reported.
Stark County Prosecutor John Ferrero said the evidence all suggested the girl was shot execution-style.
The killer accepted a plea agreement that brought an aggravated murder charge down to murder, the reports say.
As part of the plea, he will remain in a youth prison until he is 21.
If Stark County Family Court Judge Rosemarie Hall deems him a serious youthful offender, he could also face an additional adult prison term of 18 years to life after leaving juvenile detention.
Sentencing is in January.
More International News Stories
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‘Jealous’ Ohio mom gets 37 years in prison for killing her 3 sons November 22, 2019
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Video shows moment Brazilian man shoots, kills homeless woman who asked for 23 cents November 22, 2019
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Indiana dad plunges four stories to his death aboard Carnival cruise ship November 22, 2019
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Navy veteran was dead for 3 years before he was found in apartment November 22, 2019
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Teen migrants found hiding in car seat, dashboard in attempted smuggling November 22, 2019
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First male birth control injection almost ready for penises November 22, 2019
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Texas couple sentenced to prison for disposing of their 2-year-old in tub of acid November 22, 2019
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380-pound Florida man arrested after hiding drugs in belly button November 22, 2019
-
Daughter saves mum from domestic violence by pretending to order pizza November 22, 2019


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I study reinforcement learning.
I am a master's student at UC Santa Barbara, interested in applying RL for social good. I will be starting my PhD at Harvard in 2023, advised by Professor Milind Tambe. Other areas of interest include alignment and the principles of intelligence. I am very fortunate to currently be advised by the wonderful Professor William Wang. I am also grateful to work closely with Amy Zhang and Chuang Gan.
GPA: 3.96
Regents Scholar (top 2.5% of school)
College of
Engineering Honors Student
Relevant coursework: Convex Optimization, Game Theory, Advanced Linear Algebra, Differential Geometry,
Statistical Machine Learning, Special Topics in Deep Learning
GPA: 4.00
Relevant coursework: Multivariable Calculus and Differential Geometry, Linear Algebra
AlphaGo Zero Reimplementation
Graph Theory w/ UCSB
BERT Lecture Summarization
Predicting Winners in League
3D graphics with React
It's like LinkedIn but Tinder
Green Uber
Connecting HS Students w/ College Students
I really like learning, and thinking about learning. I like spending time with people even more.
I love playing tennis (and losing miserably at it to my superior roommate), riding the BART, hating on Apple (sometimes while riding the BART), watching anime, and hunting dinosaurs. Haha just kidding on that last one
The credit assignment problem is an extremely interesting problem that appears in Reinforcement Learning and AI in general. Let's say that I play a game of chess, and make n moves in succession. At the end of the game, I get just one discrete feedback signal: the outcome of the game. How does one attribute the importance of each move to the outcome of the game? This is the credit assignment problem. For a more in-depth introduction to the topic I would recommend this paper from Minsky, starting from part 3 on page 10.
The reason I mention this here is because very little of my career credit should be attributed to me. I am eternally grateful to the following people for their kindness, support and guidance. Without them, I would have nothing. In order of recency (not importance): Jiachen Li, Chad Spensky, Shou Chaofan, Derren Slinde.


Sources of light. Limited use tellurium finds for the production of lamps with its vapors - they have a spectrum very close to solar.


--- layout: page title: About Me description: This is what I do. background: '/img/bg-about.jpg' ---
I am a Java developer with a 16+ years experience consulting for many different customers in France and Canada.
I like to work with Java or Kotlin in a Jakarta EE or Spring Boot context.
I am interested in stuff around DevOps, CI/CD, Testing, Security, ...
Most of all, I like to talk about tech stuff around a beer mostly during our Montreal Jug where I am a co-organizer.
On the personal side, I have three boys and a wife. They are my number one priority. And to have energy to do that, I run with a goal in mind : finishing a marathon in less than 4 hours.


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<
>
Pollen
It makes you sneeze.
Pollen
It makes you sneeze.
Pollen
It makes you sneeze.
Hello world
Youtube Tutorial


import pandas as pd
import pickle
import Levenshtein as Lev
#from package.definition import *
[docs]def char_distance(target, y_hat):
"""
Calculating charater distance between target & y_hat
Args:
target: sequence of target
y_hat: sequence of y_Hat
Returns: distance, length
- **dist**: distance between target & y_hat
- **length**: length of target sequence
"""
target = target.replace(' ', '')
y_hat = y_hat.replace(' ', '')
dist = Lev.distance(y_hat, target)
length = len(target.replace(' ', ''))
return dist, length
[docs]def get_distance(targets, y_hats, id2char, eos_id):
"""
Provides total character distance between targets & y_hats
Args:
targets (torch.Tensor): set of ground truth
y_hats (torch.Tensor): predicted y values (y_hat) by the model
id2char (dict): id2char[id] = ch
eos_id (int): identification of <end of sequence>
Returns: total_dist, total_length
- **total_dist**: total distance between targets & y_hats
- **total_length**: total length of targets sequence
"""
total_dist = 0
total_length = 0
for i in range(len(targets)):
target = label_to_string(targets[i], id2char, eos_id)
y_hat = label_to_string(y_hats[i], id2char, eos_id)
dist, length = char_distance(target, y_hat)
total_dist += dist
total_length += length
return total_dist, total_length
[docs]def get_label(filepath, sos_id, eos_id, target_dict=None):
"""
Provides specific file`s label to list format.
Args:
filepath (str): specific path of label file
bos_id (int): identification of <start of sequence>
eos_id (int): identification of <end of sequence>
target_dict (dict): dictionary of filename and labels
Returns: label
- **label** (list): list of bos + sequence of label + eos
"""
assert target_dict is not None, "target_dict is None"
key = filepath.split('/')[-1].split('.')[0]
script = target_dict[key]
tokens = script.split(' ')
label = list()
label.append(int(sos_id))
for token in tokens:
label.append(int(token))
label.append(int(eos_id))
return label
[docs]def label_to_string(labels, id2char, eos_id):
"""
Converts label to string (number => Hangeul)
Args:
labels (list): number label
id2char (dict): id2char[id] = ch
eos_id (int): identification of <end of sequence>
Returns: sentence
- **sentence** (str or list): Hangeul representation of labels
"""
if len(labels.shape) == 1:
sentence = str()
for label in labels:
if label.item() == eos_id:
break
sentence += id2char[label.item()]
return sentence
elif len(labels.shape) == 2:
sentences = list()
for batch in labels:
sentence = str()
for label in batch:
if label.item() == eos_id:
break
sentence += id2char[label.item()]
sentences.append(sentence)
return sentences
[docs]def save_epoch_result(train_result, valid_result):
""" save result of training (unit : epoch) """
train_dict, train_loss, train_cer = train_result
valid_dict, valid_loss, valid_cer = valid_result
train_dict["loss"].append(train_loss)
train_dict["cer"].append(train_cer)
valid_dict["loss"].append(valid_loss)
valid_dict["cer"].append(valid_cer)
train_df = pd.DataFrame(train_dict)
valid_df = pd.DataFrame(valid_dict)
train_df.to_csv(TRAIN_RESULT_PATH, encoding="cp949", index=False)
valid_df.to_csv(VALID_RESULT_PATH, encoding="cp949", index=False)
[docs]def save_step_result(train_step_result, loss, cer):
""" save result of training (unit : K time step) """
train_step_result["loss"].append(loss)
train_step_result["cer"].append(cer)
train_step_df = pd.DataFrame(train_step_result)
train_step_df.to_csv(TRAIN_STEP_RESULT_PATH, encoding="cp949", index=False)
[docs]def save_pickle(save_var, savepath, message=""):
""" save pickle file """
with open(savepath, "wb") as f:
pickle.dump(save_var, f)
logger.info(message)


Revealed: The number of people who don't earn the real living wage in Nottinghamshire
Mansfield and Newark are some of the worst areas
by Oliver PridmoreNew figures claim thousands of people across Nottinghamshire are not earning a 'real living wage'.
Produced by the Annual Survey of Hours and Earnings (ASHE), the figures show more than one third of employees in some parts of the East Midlands don't earn the hourly rate.
The real living wage is a voluntary rate set by the Living Wage Foundation which hundreds of employers have signed up to - including Bassetlaw District Council and Robin Hood Energy in Nottinghamshire.
The real living wage was increased from £9 to £9.30 at the start of November, differing from the Government's national living wage which currently stands at £8.21 an hour.
Now, the new figures have revealed thousands of people in Nottinghamshire don't earn that amount.
The figures, broken down by parliamentary constituency, show that Mansfield and Newark have the highest number of people in the county who don't earn the wage.
Here are the numbers for Nottinghamshire in full:
Ashfield - 1,910 people not earning real living wage (19.1% of 10,000 employees)
Bassetlaw - 2,240 people not earning real living wage (22.4% of 10,000 employees)
Broxtowe - 2,034 people not earning real living wage (22.6% of 9,000 employees)
Gedling - 1,170 people not earning real living wage (23.4% of 5,000 employees)
Mansfield - 3,300 people not earning real living wage (30% of 11,000 employees)
Newark - 3,300 people not earning real living wage (30% of 11,000 employees)
Nottingham East - 1,773 people not earning real living wage (19.7% of 9,000 employees)
Nottingham North - 1,582 people not earning real living wage (22.6% of 7,000 employees)
Nottingham South - 4,664 people not earning real living wage (21.2% of 22,000 employees)
Rushcliffe - 775 people not earning real living wage (15.5% of 5,000 employees)
Sherwood - 3,177 people not earning real living wage (35.3% of 9,000 employees)
HMRC refused to comment when contacted by Nottinghamshire Live.


3D representation and view class for a Feature Point of the Spline. Is Draggable in 3D Space. Will fire FeaturePointChanged-Events if it gets moved, deleted or copied.
More...
|
| bool | IsDirty [get, set] |
| | Flags the object as dirty and it shall be deleted More...
|
| |
| bool | IsCopied [get, set] |
| | Flags the object that it shall be copied More...
|
| |
3D representation and view class for a Feature Point of the Spline. Is Draggable in 3D Space. Will fire FeaturePointChanged-Events if it gets moved, deleted or copied.
◆ Awake()
| void Point3DView.Awake |
( |
| ) |
|
|
inlineprivate |
◆ Construct()
| void Point3DView.Construct |
( |
SignalBus |
_signalBus | ) |
|
|
inlineprivate |
◆ Deselect()
| void Point3DView.Deselect |
( |
| ) |
|
|
inline |
◆ OnDestroy()
| void Point3DView.OnDestroy |
( |
| ) |
|
|
inlineprivate |
◆ OnDisable()
| void Point3DView.OnDisable |
( |
| ) |
|
|
inlineprivate |
◆ OnEnable()
| void Point3DView.OnEnable |
( |
| ) |
|
|
inlineprivate |
◆ OnMouseDown()
| void Point3DView.OnMouseDown |
( |
| ) |
|
|
inlineprivate |
◆ OnMouseDrag()
| void Point3DView.OnMouseDrag |
( |
| ) |
|
|
inlineprivate |
◆ OnMouseUp()
| void Point3DView.OnMouseUp |
( |
| ) |
|
|
inlineprivate |
◆ Select()
| void Point3DView.Select |
( |
| ) |
|
|
inline |
◆ m_longTapTrigger
◆ m_material
| Material Point3DView.m_material |
|
protected |
◆ m_mouseDownAsObservable
| Subject<Unit> Point3DView.m_mouseDownAsObservable |
|
private |
◆ m_offset
| Vector3 Point3DView.m_offset |
|
private |
◆ m_screenPoint
| Vector3 Point3DView.m_screenPoint |
|
private |
◆ m_selectedColor
| Color Point3DView.m_selectedColor = Color.magenta |
|
protected |
◆ m_signalBus
| SignalBus Point3DView.m_signalBus |
|
private |
◆ m_subscriptions
| CompositeDisposable Point3DView.m_subscriptions |
|
private |
◆ m_unselectedColor
| Color Point3DView.m_unselectedColor = Color.white |
|
protected |
◆ IsCopied
| bool Point3DView.IsCopied |
|
getset |
Flags the object that it shall be copied
◆ IsDirty
Flags the object as dirty and it shall be deleted
The documentation for this class was generated from the following file:


Form label
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Large form label
This username is available
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Features
Schema-Free Triple Store
BrightstarDB implements the powerfully simple W3C Semantic Web data model, RDF. The RDF data model uses triples to represent data of all shapes. BrightstarDB does not require the definition of fixed schema, allowing great flexibility in what data is stored and how it is connected together. This associative data model is a great fit for many real world applications.
Transactional
BrightstarDB offers a fully ACID transaction model where commits never block reads, reads never block updates and reads never see uncommitted updates.
High Performance
Thanks to automatic, dedicated indexes, client and server caching models BrightstarDB is blisteringly fast for updates and reads.
NoSQL Entity Framework
BrightstarDB is unique in that it offers a full Entity Framework model over the underlying data store. This means developers have the flexibility of a NoSQL store but with the power and familiarity of working with typed objects when building applications.
LINQ & OData Support
On .NET the language of query is LINQ. BrightstarDB has a custom LINQ implementation that maps LINQ queries into SPARQL to be run natively against the data. Through its Entity Framework any BrightstarDB store can expose an OData endpoint.
SPARQL Support
BrightstarDB implements the W3C SPARQL 1.1 standard. Both SPARQL query and update are supported. SPARQL queries can be executed through the BrightstarDB API. BrightstarDB also provide a REST service that implements the W3C SPARQL Protocol standard for executing SPARQL query or update via HTTP.
Historical Data Access
BrightstarDB never overwrites data, meaning it is possible to access a store at any point in its life time. Query the data as it stood a month ago, or even roll back the store to any previous point. Data stores can periodically be condensed to remove historical data if required.
Automatic Indexing
Many SQL and NoSQL systems require the developer to define all the required indexes for their specific application. BrightstarDB automatically indexes all relationships and property values at insert time.
Polaris Database Management Application
The Polaris database management application allows users to create new BrightstarDB databases, import and export data, execute SPARQL queries and updates and browse the historical state of a store.
SDShare Data Integration
SDShare is a protocol for exposing data from existing data silos as simple ATOM feeds. BrightstarDB SDShare Server implements this protocol and provides an SDShare feed consumer that can populate a BrightstarDB instance. Data connectors for ODBC, OData and SPARQL endpoints are provided. SDShare is typically used to aggregate data from multiple systems into a single data store that can then be queried.


You can create, get, edit and remove enums in your files with declarative descriptions and conditions.


Find a largest independent set.
(In plain English:
Select as many circles as possible.
You cannot select two circles at the same time
if they have a line between them.)
Login/Register to leave comments and/or start earning XP at level 4.


Vim documentation: undo
main help file*undo.txt* For Vim version 7.2. Last change: 2006 Apr 30 VIM REFERENCE MANUAL by Bram Moolenaar Undo and redo *undo-redo* The basics are explained in section |02.5| of the user manual. 1. Undo and redo commands |undo-commands| 2. Two ways of undo |undo-two-ways| 3. Undo blocks |undo-blocks| 4. Undo branches |undo-branches| 5. Remarks about undo |undo-remarks|
1. Undo and redo commands *undo-commands* <Undo> or *undo* *<Undo>* *u* u Undo [count] changes. {Vi: only one level} *:u* *:un* *:undo* :u[ndo] Undo one change. {Vi: only one level} :u[ndo] {N} Jump to after change number {N}. See |undo-branches| for the meaning of {N}. {not in Vi} *CTRL-R* CTRL-R Redo [count] changes which were undone. {Vi: redraw screen} *:red* *:redo* *redo* :red[o] Redo one change which was undone. {Vi: no redo} *U* U Undo all latest changes on one line. {Vi: while not moved off of it} The last changes are remembered. You can use the undo and redo commands above to revert the text to how it was before each change. You can also apply the changes again, getting back the text before the undo. The "U" command is treated by undo/redo just like any other command. Thus a "u" command undoes a "U" command and a 'CTRL-R' command redoes it again. When mixing "U", "u" and 'CTRL-R' you will notice that the "U" command will restore the situation of a line to before the previous "U" command. This may be confusing. Try it out to get used to it. The "U" command will always mark the buffer as changed. When "U" changes the buffer back to how it was without changes, it is still considered changed. Use "u" to undo changes until the buffer becomes unchanged.
2. Two ways of undo *undo-two-ways* How undo and redo commands work depends on the 'u' flag in 'cpoptions'. There is the Vim way ('u' excluded) and the vi-compatible way ('u' included). In the Vim way, "uu" undoes two changes. In the Vi-compatible way, "uu" does nothing (undoes an undo). 'u' excluded, the Vim way: You can go back in time with the undo command. You can then go forward again with the redo command. If you make a new change after the undo command, the redo will not be possible anymore. 'u' included, the Vi-compatible way: The undo command undoes the previous change, and also the previous undo command. The redo command repeats the previous undo command. It does NOT repeat a change command, use "." for that. Examples Vim way Vi-compatible way "uu" two times undo no-op "u CTRL-R" no-op two times undo Rationale: Nvi uses the "." command instead of CTRL-R. Unfortunately, this is not Vi compatible. For example "dwdwu." in Vi deletes two words, in Nvi it does nothing.
3. Undo blocks *undo-blocks* One undo command normally undoes a typed command, no matter how many changes that command makes. This sequence of undo-able changes forms an undo block. Thus if the typed key(s) call a function, all the commands in the function are undone together. If you want to write a function or script that doesn't create a new undoable change but joins in with the previous change use this command: *:undoj* *:undojoin* *E790* :undoj[oin] Join further changes with the previous undo block. Warning: Use with care, it may prevent the user from properly undoing changes. Don't use this after undo or redo. {not in Vi} This is most useful when you need to prompt the user halfway a change. For example in a function that calls |getchar()|. Do make sure that there was a related change before this that you must join with. This doesn't work by itself, because the next key press will start a new change again. But you can do something like this: :undojoin | delete After this an "u" command will undo the delete command and the previous change.
4. Undo branches *undo-branches* *undo-tree* Above we only discussed one line of undo/redo. But it is also possible to branch off. This happens when you undo a few changes and then make a new change. The undone changes become a branch. You can go to that branch with the following commands. This is explained in the user manual: |usr_32.txt|. *:undol* *:undolist* :undol[ist] List the leafs in the tree of changes. Example: number changes time 4 10 10:34:11 18 4 11:01:46 The "number" column is the change number. This number continuously increases and can be used to identify a specific undo-able change, see |:undo|. The "changes" column is the number of changes to this leaf from the root of the tree. The "time" column is the time this change was made. *g-* g- Go to older text state. With a count repeat that many times. {not in Vi} *:ea* *:earlier* :earlier {count} Go to older text state {count} times. :earlier {N}s Go to older text state about {N} seconds before. :earlier {N}m Go to older text state about {N} minutes before. :earlier {N}h Go to older text state about {N} hours before. *g+* g+ Go to newer text state. With a count repeat that many times. {not in Vi} *:lat* *:later* :later {count} Go to newer text state {count} times. :later {N}s Go to newer text state about {N} seconds later. :later {N}m Go to newer text state about {N} minutes later. :later {N}h Go to newer text state about {N} hours later. Note that text states will become unreachable when undo information is cleared for 'undolevels'. Don't be surprised when moving through time shows multiple changes to take place at a time. This happens when moving through the undo tree and then making a new change. EXAMPLE Start with this text: one two three Delete the first word by pressing "x" three times: ne two three e two three two three Now undo that by pressing "u" three times: e two three ne two three one two three Delete the second word by pressing "x" three times: one wo three one o three one three Now undo that by using "g-" three times: one o three one wo three two three You are now back in the first undo branch, after deleting "one". Repeating "g-" will now bring you back to the original text: e two three ne two three one two three Jump to the last change with ":later 1h": one three And back to the start again with ":earlier 1h": one two three Note that using "u" and CTRL-R will not get you to all possible text states while repeating "g-" and "g+" does.
5. Remarks about undo *undo-remarks* The number of changes that are remembered is set with the 'undolevels' option. If it is zero, the Vi-compatible way is always used. If it is negative no undo is possible. Use this if you are running out of memory. Marks for the buffer ('a to 'z) are also saved and restored, together with the text. {Vi does this a little bit different} When all changes have been undone, the buffer is not considered to be changed. It is then possible to exit Vim with ":q" instead of ":q!" {not in Vi}. Note that this is relative to the last write of the file. Typing "u" after ":w" actually changes the buffer, compared to what was written, so the buffer is considered changed then. When manual |folding| is being used, the folds are not saved and restored. Only changes completely within a fold will keep the fold as it was, because the first and last line of the fold don't change. The numbered registers can also be used for undoing deletes. Each time you delete text, it is put into register "1. The contents of register "1 are shifted to "2, etc. The contents of register "9 are lost. You can now get back the most recent deleted text with the put command: '"'1P'. (also, if the deleted text was the result of the last delete or copy operation, 'P' or 'p' also works as this puts the contents of the unnamed register). You can get back the text of three deletes ago with '"'3P'. *redo-register* If you want to get back more than one part of deleted text, you can use a special feature of the repeat command ".". It will increase the number of the register used. So if you first do ""1P", the following "." will result in a '"'2P'. Repeating this will result in all numbered registers being inserted. Example: If you deleted text with 'dd....' it can be restored with '"'1P....'. If you don't know in which register the deleted text is, you can use the :display command. An alternative is to try the first register with '"'1P', and if it is not what you want do 'u.'. This will remove the contents of the first put, and repeat the put command for the second register. Repeat the 'u.' until you got what you want. top - main help file


{% extends 'documents/master.html' %} {% load staticfiles %} {% block title %}Password change successful{% endblock %} {% block content %}
Your password has been changed


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{{ define "main" }} {{- partial "header.html" . -}}
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View sample telephone billUpload your company's Certificate of Incorporation.
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--- layout: project_page title: vEGU21 ---
The European Geosciences Union gathered four artists (not!) in residence for the EGU General Assembly 2021 (vEGU21) from 19–30 April. This artist residency provided artists and scientists with opportunities to exchange ideas in person during the annual meeting.
Full gallery of all the artists: here .


You are viewing an historical archive of past issues. Please
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Comments
-
Greg Hurrell
You should be able to remove the old registration info by hitting the "Unregister" button in the "About" tab of the Synergy Preferences. At that point you should be able to enter the new license info.
If that doesn't work, it is possible that your preferences file has become corrupted. You could try deleting it. (It can be found at
/Users/<your user name>/Library/Preferences/org.wincent.Synergy.plist
.) -
Greg Hurrell
Status changed:
- From: new
- To: closed
Add a comment
Comments are now closed for this issue.


Hello!
Welcome to the portfolio of Brett R. Ward (Software Engineer and Mt. Dew connoisseur). On this site you will find my resume along with a few of the projects I have worked on professinally and for fun. I am a strong beliver in working hard in order to play hard.
Currently I work and live in Logan City Utah. A small town home to the Utah State Aggies. Logan also has a strong tech industry and commuinity.
Feel free to contact me using the contact tab.


{%- block document %}
{{ super() }}
{%- endblock %}
{# Sphinx layout template for the DocumentValidator, originally written by Andi Albrecht. Takahiko Ito and DocumentValidator members have modified the theme. :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. :license: BSD, see LICENSE for details. #} {%- extends "basic/layout.html" %}


Injured Hiker Helicoptered to Hospital
by Edhat StaffPhotos: SBCFD
By edhat staff
An injured hiker was helicoptered to safety on Saturday afternoon.
Santa Barbara County firefighters and a rescue helicopter responded to 19 Trails, approximately one mile up from the Upper Oso Campground in the Paradise Road area.
A 26-year-old male hiker was discovered with a critical medical condition. He was hoisted to the rescue helicopter and transported to Santa Barbara Cottage Hospital.


Arc @ UNSW Clubs Membership Audit 2015
{% if error == "true" %} {% endif %}
Audit list
Browse
Arc Members List
Browse
Obtaining the Audit form:
Arc @ UNSW Orgsync Portal > Forms
Clubs Exec Membership Audit 2015
Export > Export as XLSX
Import below


Man drags estranged wife to court for changing children’s school without consent
A man, Yusuf Buhari, on Friday, dragged his estranged wife, Hadiza Muhammad, to a Sharia Court, sitting in Magajin Gari, Kaduna State, for changing the school of their two female children without his consent.
Buhari, who resides within the Kaduna Metropolis, through his counsel, Sani Shehu, told the court that Muhammad took his two female children to her parents’ house and changed their school from the one in which he had enrolled them without his consent.
The counsel also said that for six months, Muhammad refused to allow her estranged husband see his children as ordered by a court, even though they still remained husband and wife.
READ ALSO: Woman drags three neighbours to court for calling her a witch
He prayed the court to order Muhammad to take the children back to the school in which their father enrolled them and also, to take the children back to their father’s house, as they still remained husband and wife.
The defendant, who also resides within the Kaduna metropolis, through her counsel, Adam Hassan, said that Islamic law permitted a woman to take her children with her wherever she was going.
“If she is taking her children with her to a safe place, not a long distance from their father, it is allowed by law; even though they had little misunderstanding, she is still his wife”, the counsel said.
NAN reports that Muhammad had earlier instituted a court case, seeking for divorce but it was stopped by a High Court.
The Judge, Murtala Nasir, after listening to both parties, adjourned the case till Nov. 6.
He ordered the counsels to come along with a copy of the High Court’s proceedings on the matter.
(NAN)


The update-block is the block you want to choose, if you want to update specific values in your database. It symbolises the update structure.
Blocks, like tables and operators are plugged in it. It also can be mutated.
If you want to learn more about how to mutate the block please, see 'Functionality'.
The not mutated update-block is divided in three sections. The 'UPDATE'-section, the 'SET'-section and the 'WHERE'-section.
To mutate the block, you click on the
star-icon and a new workspace appears.
In this workspace you can drop blocks into an 'ADD'-block to expand the update-block.
So for each droped block a new input appears. Like you see in the picture above.
If you want to reduce the number of inputs, you click on the star icon and pull the blocks out of the 'ADD' block.
The block in this workspace symbolises the'SET' statement.
In the section 'Statement' you will learn more about it.
In the 'WHERE'-section you require your update statement.
This section is used like it is used in the
'SELECT' Block.
otherwise there will be a warning.
Be sure the you use only the same table in the insert Block.
The usage of different Tables is not provided.
In the mutator workspace there is one block symbolising the 'SET'-statement in SQL.
The 'SET' input uses the to-operator, as first input, in the compare, the tables and columns value as the update destination and as second input a value, corresponding in type and colour to the first input.
This is shown in the picture above. Be sure to use only tables and columns you use in the 'UPDATE'-section,
otherwise there will be a warning.


Chinese: 豫 ䷏ yǜ
Yǜ ䷏ indicates that, (in the state which it implies), feudal princes may be set up, and the hosts put in motion, with advantage.
1. The first SIX
, divided, shows its subject proclaiming his pleasure and satisfaction. There will be evil.
䷏ changing to ䷲
Matching Line 1 in Adjacent Hexagram: ䷎
2. The second SIX
, divided, shows one who is firm as a rock. (He sees a thing) without waiting till it has come to pass; with his firm correctness there will be good fortune.
䷏ changing to ䷧
Matching Line 2 in Adjacent Hexagram: ䷎
3. The third SIX
, divided, shows one looking up (for favours), while he indulges the feeling of pleasure and satisfaction. If he would understand! -- If he be late in doing so, there will indeed be occasion for repentance.
䷏ changing to ䷽
Matching Line 3 in Adjacent Hexagram: ䷎
4. The fourth NINE
, undivided, shows him from whom the harmony and satisfaction come. Great is the success which he obtains. Let him not allow suspicions to enter his mind, and thus friends will gather around him.
䷏ changing to ䷁
Matching Line 4 in Adjacent Hexagram: ䷎
5. The fifth six, divided, shows one with a chronic complaint, but who lives on without dying.
䷏ changing to ䷬
Matching Line 5 in Adjacent Hexagram: ䷎
6. The topmost six, divided, shows its subject with darkened mind devoted to the pleasure and satisfaction (of the time); but if he change his course even when (it may be considered as) completed, there will be no error.
䷏ changing to ䷢
Matching Line 6 in Adjacent Hexagram: ䷎
The Yǜ ䷏ hexagram denoted to king Win a condition of harmony and happy contentment throughout the kingdom, when the people rejoiced in and readily obeyed their sovereign. At such a time his appointments and any military undertakings would be hailed and supported. The fourth line, undivided, is the lord of the figure, and being close to the fifth or place of dignity, is to be looked on as the minister or chief officer of the ruler. The ruler gives to him his confidence; and all represented by the other lines yield their obedience.
Line 1 is weak, and has for its correlate the strong 4. Its subject may well enjoy the happiness of the time. But he cannot contain himself, and proclaims, or boasts of, his satisfaction; -- which is evil.
Line 2, though weak, is in its correct position, the centre, moreover, of the lower trigram. Quietly and firmly its subject is able to abide in his place, and exercise a far-seeing discrimination. All is indicative of good fortune.
Line 3 is weak, and in an odd place. Immediately below line 4, its subject keeps looking up to the lord of the figure, and depends on him, thinking of doing nothing, but how to enjoy himself. The consequence will be as described, unless he speedily change.
The strong subject of line 4 is the agent to whom the happy condition is owing; and it is only necessary to caution him to maintain his confidence in himself and his purpose, and his adherents and success will continue.
Line 5 is in the ruler's place; but it is weak, and he is in danger of being carried away by the lust of pleasure. Moreover, proximity to the powerful minister represented by 4 is a source of danger. p. 93 Hence he is represented as suffering from a chronic complaint, but nevertheless he does not die. See Appendix II on the line.
Line 6, at the very top or end of the hexagram, is weak, and its subject is all but lost. Still even for him there is a chance of safety, if he will but change.


index
module components.evita.event
Event
event.py
The Event class here is used by Evita when creating a new event by
Chunk._processEventInChunk() or AdjectiveToken._processEventInToken().
class Event
Inherits from: object
Instances of this class are created by Evita when it finds a new
event. Instances have a short life because all that they are used for is to
be added to the TarsqiDocument as a Tag instance.
Instance variables:
tokens - a list of Tokens or AdjectiveTokens
attrs - the TimeML attributes of the event
The eid and eiid identifiers are not set by this class, they are added later
when the TarsqiTree adds the event to the TarsqiDocument. Also note that
the nf_morph is value is added to the POS attribute.
Public Functions
__init__(self, feats)
Initialize from an instance of a subclass of ChunkFeatures. Creates
the list of tokens for the event from just the head of the chunk because
currently Evita only recognizes one-token events (in line with the old
TimeML specifications), the list is a hook for adding multi-token events
later. Modality and polarity are not added if they have the default
values.
__str__(self)


Standard test images.
For more images, see
| skimage.data.camera() | Gray-level “camera” image. |
| skimage.data.checkerboard() | Checkerboard image. |
| skimage.data.chelsea() | Chelsea the cat. |
| skimage.data.clock() | Motion blurred clock. |
| skimage.data.coffee() | Coffee cup. |
| skimage.data.coins() | Greek coins from Pompeii. |
| skimage.data.horse() | Black and white silhouette of a horse. |
| skimage.data.immunohistochemistry() | Immunohistochemical (IHC) staining with hematoxylin counterstaining. |
| skimage.data.imread(fname[, as_grey, ...]) | Load an image from file. |
| skimage.data.lena() | Colour “Lena” image. |
| skimage.data.load(f) | Load an image file located in the data directory. |
| skimage.data.moon() | Surface of the moon. |
| skimage.data.page() | Scanned page. |
| skimage.data.text() | Gray-level “text” image used for corner detection. |
Gray-level “camera” image.
Often used for segmentation and denoising examples.
Checkerboard image.
Checkerboards are often used in image calibration, since the corner-points are easy to locate. Because of the many parallel edges, they also visualise distortions particularly well.
Chelsea the cat.
An example with texture, prominent edges in horizontal and diagonal directions, as well as features of differing scales.
Notes
No copyright restrictions. CC0 by the photographer (Stefan van der Walt).
Motion blurred clock.
This photograph of a wall clock was taken while moving the camera in an aproximately horizontal direction. It may be used to illustrate inverse filters and deconvolution.
Released into the public domain by the photographer (Stefan van der Walt).
Coffee cup.
This photograph is courtesy of Pikolo Espresso Bar. It contains several elliptical shapes as well as varying texture (smooth porcelain to course wood grain).
Notes
No copyright restrictions. CC0 by the photographer (Rachel Michetti).
Greek coins from Pompeii.
This image shows several coins outlined against a gray background. It is especially useful in, e.g. segmentation tests, where individual objects need to be identified against a background. The background shares enough grey levels with the coins that a simple segmentation is not sufficient.
Notes
This image was downloaded from the Brooklyn Museum Collection.
No known copyright restrictions.
Black and white silhouette of a horse.
This image was downloaded from openclipart <http://openclipart.org/detail/158377/horse-by-marauder>
Released into public domain and drawn and uploaded by Andreas Preuss (marauder).
Immunohistochemical (IHC) staining with hematoxylin counterstaining.
This picture shows colonic glands where the IHC expression of FHL2 protein is revealed with DAB. Hematoxylin counterstaining is applied to enhance the negative parts of the tissue.
This image was acquired at the Center for Microscopy And Molecular Imaging (CMMI).
No known copyright restrictions.
Load an image from file.
| Parameters : | fname : string
as_grey : bool
plugin : str
|
|---|---|
| Returns : | img_array : ndarray
|
Colour “Lena” image.
The standard, yet sometimes controversial Lena test image was scanned from the November 1972 edition of Playboy magazine. From an image processing perspective, this image is useful because it contains smooth, textured, shaded as well as detail areas.
Load an image file located in the data directory.
| Parameters : | f : string
|
|---|---|
| Returns : | img : ndarray
|
Surface of the moon.
This low-contrast image of the surface of the moon is useful for illustrating histogram equalization and contrast stretching.
Scanned page.
This image of printed text is useful for demonstrations requiring uneven background illumination.
Gray-level “text” image used for corner detection.
Notes
This image was downloaded from Wikipedia <http://en.wikipedia.org/wiki/File:Corner.png>`__.
No known copyright restrictions, released into the public domain.


Using async keyword in script tag the JavaScript file downloads are simultaneously.
But observe that the DOM update triggered by the scripts happen only after all scripts run has completed. All DOM update messages from all scripts appear at once and not one after the other.
Also there is no control over the order of execution of scripts
Start of script 1 download
End of script 1 download
Start of script 2 download
End of script 2 download
Start of script 3 download
End of script 3 download
Start of script 4 download
End of script 4 download


Item name: {{name}}
Item description: {{description}}
User name: {{userName}}
Highest bid {{highestBid}}
Place Bid


Nivado_Vlogs
Started a new vlog in-russia
- iam excited
- sounds awesome
PritamKumar
- great picture bhi
- konsa place hai
GeekBoy
Missing olden Days :0
AngeliyaRobertOfficial
Finally in India -Rajasthan
- wow
- welcome to india
- have a good day my lady
Anisha_bhatt
my village photoshoot
- kamaal ki jagha hai
revana dsoz
My latest art work gallery
USA_gardens
Heaven on earth garden -usa
- love to spend time here
Monika_cerne official
Got diamond button for my Channel
- awesome ;0
- waiting for next button
- love from japan
- waiting for next vlog...!
BusinessAffirmations
A postivite mindset for enterprenures
- a perfect page for students
Merry_Costanza Vlogs
On the way back to USA
- Bye...
MarkozBusiness
a new startup for techies
- what is the place
- can i join
PritamKumar
thought for our buddies
Anisha_bhatt
My city with people _rajasthan
- Rajasthan is a agreat place
- love to visit anisha
- acchi jagah hai aap kaha se ho


Using ')' to signify the end of each subtree, write the sequential representation for the following tree.
ANS
Make sure to use a ')' for the end of every sub tree
There should be the same number of ')' as there are nodes.
Answer: ANS


Search Words |
| Language | Vocabulary | Created | Edit word, add definitions | |||
|---|---|---|---|---|---|---|
| word | word | Created date | edit details |
delete
|
| Phrase | Created | Edit phrase, add definitions |
|---|


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javaws(1) javaws(1) NAME javaws - a Java Web Start client SYNOPSYS javaws [-run-options] jnlp-file javaws [-control-option] DESCRIPTION javaws is an implementation of a JNLP client. It uses a JNLP (Java Net‐ work Launch Protocol) file to securely run a remote Java application or a Java applet. This implementation of javaws is from the IcedTea project and is based on the NetX project. A JNLP file is an xml file that describes how to securely run a remote Java application or a Java applet. OPTIONS When specifying options, the name of the jnlp file must be the last argu‐ ment to javaws - all the options must preceede it. The jnlp-file can either be a url or a local path. Control Options By default javaws will launch the jnlp file specified on the command line. The control options can be used to change this behaviour. -about Shows a sample application that can be used to test the basic functionality of this implementation. -viewer Shows the trusted certificate viewer. This allows a user to list, examine, remove or export trusted certificates. Note that this only reflects the certificates trusted by javaws and not any other certificates or programs. Run Options In the default mode, the following run-options can be used: -basedir dir Directory where the cache and certificates to be used are stored. -arg arg Adds an application argument before launching. -param name=value Adds an applet parameter before launching. -property name=value Sets a system property before launching. -update seconds Update check if seconds since last checked. -license Display the GPL license and exit. -verbose Enable verbose output. Very useful in debugging. -nosecurity Disables the secure runtime environment. -noupdate Disables checking for updates. -headless Disables download window, other UIs. -strict Enables strict checking of JNLP file format. Any deviations from the JNLP DTD will cause javaws to abort. -umask=value Sets the umask for files created by an application. -Xnofork Do not create another JVM, even if the JNLP file asks for running in a separate JVM. This is useful for debugging. -Jjava-option This passes along java-option to the java binary that is run‐ ning javaws. For example, to make javaws run with a max heap size of 80m, use -J-Xmx80m. -help Print a help message and exit. FILES ~/.icedtea/deployment.properties specifies the settings used by javaws BUGS There arent any known bugs. If you come across one, please file it at http://icedtea.classpath.org/bugzilla/ Please run javaws in verbose mode and include that output along with the jnlp file when filing out the bug report. AUTHOR Originally written by Jon. A. Maxwell. Currently maintained by the IcedTea contributors. SEE ALSO java(1) http://icedtea.classpath.org/ http://jnlp.sourceforge.net/netx/ 9 Sep 2010 javaws(1)


Use this feature to get a quick overview of a member or relations to other members.
This also tracks invites a new member uses so you can quickly spot alt accounts.
Use a double click to view other ressources such as a modcase.


06.Write a program that finds the most frequent number in an array.
Example: {4, 1, 1, 4, 2, 3, 4, 4, 1, 2, 4, 9, 3} -> 4 (5 times)
Reload the page to generate another array.


competition results for "${brew.recipe.name}" | brew-journal
competition results for ${brew.recipe.name}
${field(form.competition_name)}
${field(form.competition_date)}
${field(form.competition_url)}
${field(form.entry_id)}
${field(form.entered_style)}
${field(form.flight_position)}
${field(form.flight_entries)}
${field(form.mini_bos)}
${field(form.assigned_score)}
${field(form.place_awarded)}
${field(form.notes)}
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Diana Franklin, Phillip Conrad, Bryce Boe, Katy Nilsen, Charlotte Hill, Michelle Len, Greg Dreschler, Gerardo Aldana, Paulo Almeida-Tanaka,
Brynn Kiefer, Chelsea Laird, Felicia Lopez, Christine Pham, Jessica Suarez, and Robert Waite. 2013. Assessment of computer science learning in a scratch-based outreach program. In Proceeding of the 44th ACM technical symposium on Computer science education (SIGCSE '13). ACM, New York, NY, USA, 371-376.
DOI:
http://dx.doi.org/10.1145/2445196.2445304


Franklin Breaks Record
After battering St. Lucia and Jamaica last week, Hurricane Dean came ashore near Costa Maya or Majahual, Quintana Roo, Mexico, around 2:30 a.m. on Tuesday, August 21st, 2007. The following afternoon, Dean made a second landfall with 100-mile per hour winds at Tecolutla, Mexico, as a Category Two hurricane, and at last report it was surviving as a tropical depression over inland Mexico. Even though Dean’s eye landed north of Belize early Tuesday, the hurricane battered the northern districts which are closer to our border with Mexico. According to The National Meteorological Service Dean made landfall only 43 miles north of Corozal Town, Belize’s northernmost municipality, where it caused the bulk of its destruction.


@this(layout: Layout) @()(implicit request: Request[_], messages: Messages) @layout(pageTitle = Some("Home")) {
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