Hey guys,
I've already asked this questions here but i keep getting this problem. Everytime i close and open agama wallet again, i get the message of activating best chain and it download the whole blockchain everytime...I think im not doing anything wrong, i open wallet, click on activate coin, select "pirate" than daemon is set to default and native mode


Australia vs France: Barty to face Garcia in Fed Cup final
PERTH, Australia (AP) - World No. 1 Ash Barty will play Caroline Garcia of France in the Fed Cup final while Ajla Tomljanovic will make her debut for Australia playing the opening singles match Saturday against Kristina Mladenovic.
Barty will play Mladenovic in the first reverse singles on Sunday, followed by Tomljanovic taking on Garcia, although late changes can be made by the team captains. The final is being played on hard outdoor courts at Perth Arena.
The reverse singles will be followed by a potential deciding doubles match. Barty and Samantha Stosur will play doubles for Australia against Mladenovic and Garcia.
Both Barty, who won last weekend’s WTA Finals in China, and Stosur and Mladenovic/Garcia won three-set live fifth doubles matches in April’s semifinals to send their countries to the final. Australia beat Belarus in the semifinals and France defeated Romania.
Just before Friday’s draw, Australia team captain Alicia Molik chose No. 51-ranked Tomljanovic over Stosur as Australia’s second singles player behind Barty. Stosur won the 2011 U.S. Open and was once ranked No. 4 in singles, but has fallen to No. 96 and often doesn’t play well before home crowds.
Australia has played France six times in Fed Cup history and has a 5-1 edge, but lost when the teams last played in France in 2000.
It will be Australia’s first Fed Cup final since 1993. Australia last won the event, previously known as the Federation Cup, in Italy in 1974, with Evonne Goolagong, Dianne Fromholtz and Janet Young defeating the United States 2-1.
More AP Tennis: https://www.apnews.com/apf-Tennis and https://twitter.com/AP_Sports
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|
GrPPI
1.0
Generic and Reusable Parallel Pattern Interface
|
TBB parallel execution policy. More...
#include <parallel_execution_tbb.h>
Public Member Functions | |
| parallel_execution_tbb () noexcept | |
| Default construct a TBB parallel execution policy. More... | |
| parallel_execution_tbb (int concurrency_degree, bool order=true) noexcept | |
| Constructs a TBB parallel execution policy. More... | |
| void | set_concurrency_degree (int degree) noexcept |
| Set number of grppi threads. More... | |
| int | concurrency_degree () const noexcept |
| Get number of grppi threads. More... | |
| void | enable_ordering () noexcept |
| Enable ordering. More... | |
| void | disable_ordering () noexcept |
| Disable ordering. More... | |
| bool | is_ordered () const noexcept |
| Is execution ordered. More... | |
| void | set_queue_attributes (int size, queue_mode mode, int tokens) noexcept |
| Sets the attributes for the queues built through make_queue<T>() More... | |
| template<typename T > | |
| mpmc_queue< T > | make_queue () const |
| Makes a communication queue for elements of type T. Constructs a queue using the attributes that can be set via set_queue_attributes(). The value is returned via move semantics. More... | |
| int | tokens () const noexcept |
| template<typename ... InputIterators, typename OutputIterator , typename Transformer > | |
| void | map (std::tuple< InputIterators... > firsts, OutputIterator first_out, std::size_t sequence_size, Transformer transform_op) const |
| Applies a transformation to multiple sequences leaving the result in another sequence using available TBB parallelism. More... | |
| template<typename InputIterator , typename Identity , typename Combiner > | |
| auto | reduce (InputIterator first, std::size_t sequence_size, Identity &&identity, Combiner &&combine_op) const |
| Applies a reduction to a sequence of data items. More... | |
| template<typename ... InputIterators, typename Identity , typename Transformer , typename Combiner > | |
| auto | map_reduce (std::tuple< InputIterators... > firsts, std::size_t sequence_size, Identity &&identity, Transformer &&transform_op, Combiner &&combine_op) const |
| Applies a map/reduce operation to a sequence of data items. More... | |
| template<typename ... InputIterators, typename OutputIterator , typename StencilTransformer , typename Neighbourhood > | |
| void | stencil (std::tuple< InputIterators... > firsts, OutputIterator first_out, std::size_t sequence_size, StencilTransformer &&transform_op, Neighbourhood &&neighbour_op) const |
| Applies a transformation to multiple sequences leaving the result in another sequence. More... | |
| template<typename Input , typename Divider , typename Solver , typename Combiner > | |
| auto | divide_conquer (Input &&input, Divider &÷_op, Solver &&solve_op, Combiner &&combine_op) const |
| Invoke md_divide-conquer. More... | |
| template<typename Input , typename Divider , typename Predicate , typename Solver , typename Combiner > | |
| auto | divide_conquer (Input &&input, Divider &÷_op, Predicate &&predicate_op, Solver &&solve_op, Combiner &&combine_op) const |
| Invoke md_divide-conquer. More... | |
| template<typename Generator , typename ... Transformers> | |
| void | pipeline (Generator &&generate_op, Transformers &&... transform_op) const |
| Invoke Pipeline pattern. More... | |
| template<typename InputType , typename Transformer , typename OutputType > | |
| void | pipeline (mpmc_queue< InputType > &input_queue, Transformer &&transform_op, mpmc_queue< OutputType > &output_queue) const |
| Invoke Pipeline pattern coming from another context that uses mpmc_queues as communication channels. More... | |
| template<typename Input , typename Transformer , typename Predicate , template< typename T, typename P > class Iteration, typename ... OtherTransformers, requires_iteration< Iteration< Transformer, Predicate >> , requires_pipeline< Transformer > > | |
| auto | make_filter (Iteration< Transformer, Predicate > &&, OtherTransformers &&...) const |
TBB parallel execution policy.
This policy uses Intel Threading Building Blocks as implementation back end.
|
inlinenoexcept |
Default construct a TBB parallel execution policy.
Creates a TBB parallel execution object.
The concurrency degree is determined by the platform.
|
inlinenoexcept |
Constructs a TBB parallel execution policy.
Creates a TBB parallel execution object selecting the concurrency degree.
| concurrency_degree | Number of threads used for parallel algorithms. |
| order | Whether ordered executions is enabled or disabled. |
|
inlinenoexcept |
Get number of grppi threads.
|
inlinenoexcept |
Disable ordering.
| auto grppi::parallel_execution_tbb::divide_conquer | ( | Input && | input, |
| Divider && | divide_op, | ||
| Predicate && | predicate_op, | ||
| Solver && | solve_op, | ||
| Combiner && | combine_op | ||
| ) | const |
Invoke md_divide-conquer.
| Input | Type used for the input problem. |
| Divider | Callable type for the divider operation. |
| Predicate | Callable type for the stop condition predicate. |
| Solver | Callable type for the solver operation. |
| Combiner | Callable type for the combiner operation. |
| ex | Sequential execution policy object. |
| input | Input problem to be solved. |
| divider_op | Divider operation. |
| predicate_op | Predicate operation. |
| solver_op | Solver operation. |
| combine_op | Combiner operation. |
| auto grppi::parallel_execution_tbb::divide_conquer | ( | Input && | input, |
| Divider && | divide_op, | ||
| Solver && | solve_op, | ||
| Combiner && | combine_op | ||
| ) | const |
Invoke md_divide-conquer.
| Input | Type used for the input problem. |
| Divider | Callable type for the divider operation. |
| Solver | Callable type for the solver operation. |
| Combiner | Callable type for the combiner operation. |
| ex | Sequential execution policy object. |
| input | Input problem to be solved. |
| divider_op | Divider operation. |
| solver_op | Solver operation. |
| combine_op | Combiner operation. |
|
inlinenoexcept |
Enable ordering.
|
inlinenoexcept |
Is execution ordered.
| auto grppi::parallel_execution_tbb::make_filter | ( | Iteration< Transformer, Predicate > && | , |
| OtherTransformers && | ... | ||
| ) | const |
|
inline |
Makes a communication queue for elements of type T. Constructs a queue using the attributes that can be set via set_queue_attributes(). The value is returned via move semantics.
| void grppi::parallel_execution_tbb::map | ( | std::tuple< InputIterators... > | firsts, |
| OutputIterator | first_out, | ||
| std::size_t | sequence_size, | ||
| Transformer | transform_op | ||
| ) | const |
Applies a transformation to multiple sequences leaving the result in another sequence using available TBB parallelism.
| InputIterators | Iterator types for input sequences. |
| OutputIterator | Iterator type for the output sequence. |
| Transformer | Callable object type for the transformation. |
| firsts | Tuple of iterators to input sequences. |
| first_out | Iterator to the output sequence. |
| sequence_size | Size of the input sequences. |
| transform_op | Transformation callable object. |
[get<I>(firsts), next(get<I>(firsts),sequence_size))
are valid. [first_out, next(first_out,sequence_size)]
are valid. | auto grppi::parallel_execution_tbb::map_reduce | ( | std::tuple< InputIterators... > | firsts, |
| std::size_t | sequence_size, | ||
| Identity && | identity, | ||
| Transformer && | transform_op, | ||
| Combiner && | combine_op | ||
| ) | const |
Applies a map/reduce operation to a sequence of data items.
| InputIterator | Iterator type for the input sequence. |
| Identity | Type for the identity value. |
| Transformer | Callable object type for the transformation. |
| Combiner | Callable object type for the combination. |
| first | Iterator to the first element of the sequence. |
| sequence_size | Size of the input sequence. |
| identity | Identity value for the reduction. |
| transform_op | Transformation callable object. |
| combine_op | Combination callable object. |
[first,last)
are valid. | void grppi::parallel_execution_tbb::pipeline | ( | Generator && | generate_op, |
| Transformers &&... | transform_op | ||
| ) | const |
Invoke Pipeline pattern.
| Generator | Callable type for the generator operation. |
| Transformers | Callable types for the transformers in the pipeline. |
| generate_op | Generator operation. |
| transform_ops | Transformer operations. |
|
inline |
Invoke Pipeline pattern coming from another context that uses mpmc_queues as communication channels.
| InputType | Type of the input stream. |
| Transformers | Callable types for the transformers in the pipeline. |
| InputType | Type of the output stream. |
| input_queue | Input stream communicator. |
| transform_ops | Transformer operations. |
| output_queue | Input stream communicator. |
| auto grppi::parallel_execution_tbb::reduce | ( | InputIterator | first, |
| std::size_t | sequence_size, | ||
| Identity && | identity, | ||
| Combiner && | combine_op | ||
| ) | const |
Applies a reduction to a sequence of data items.
| InputIterator | Iterator type for the input sequence. |
| Identity | Type for the identity value. |
| Combiner | Callable object type for the combination. |
| first | Iterator to the first element of the sequence. |
| sequence_size | Size of the input sequence. |
| last | Iterator to one past the end of the sequence. |
| identity | Identity value for the reduction. |
| combine_op | Combination callable object. |
[first,last)
are valid.
|
inlinenoexcept |
Set number of grppi threads.
|
inlinenoexcept |
Sets the attributes for the queues built through make_queue<T>()
| void grppi::parallel_execution_tbb::stencil | ( | std::tuple< InputIterators... > | firsts, |
| OutputIterator | first_out, | ||
| std::size_t | sequence_size, | ||
| StencilTransformer && | transform_op, | ||
| Neighbourhood && | neighbour_op | ||
| ) | const |
Applies a transformation to multiple sequences leaving the result in another sequence.
| InputIterators | Iterator types for input sequences. |
| OutputIterator | Iterator type for the output sequence. |
| Transformer | Callable object type for the transformation. |
| firsts | Tuple of iterators to input sequences. |
| first_out | Iterator to the output sequence. |
| sequence_size | Size of the input sequences. |
| transform_op | Transformation callable object. |
[get<I>(firsts), next(get<I>(firsts),sequence_size))
are valid. [first_out, next(first_out,sequence_size)]
are valid.
|
inlinenoexcept |
\brien Get num of tokens.


A tidyverse-style geocoder interface for R. Utilizes US Census and Nominatim (OSM) geocoder services. Returns latitude and longitude in tibble format from addresses. You can find a demo I wrote up on R-Bloggers here.
To install the stable version from CRAN (the official R package servers):
install.packages('tidygeocoder')
To install the development version from GitHub:
if(!require(devtools)) install.packages("devtools")
devtools::install_github("jessecambon/tidygeocoder",build_vignettes=TRUE)
In this brief example, we will use the US Census API to geocode some addresses in the sample_addresses
dataset.
library(dplyr) library(tidygeocoder) lat_longs <- sample_addresses %>% geocode(addr,lat=latitude,long=longitude)
Latitude and longitude columns are attached to our input dataset. Since we are using the US Census geocoder service, international locations and addresses which are not at the street level (such as cities) are not found.
| name | addr | latitude | longitude |
|---|---|---|---|
| White House | 1600 Pennsylvania Ave Washington, DC | 38.89875 | -77.03535 |
| Transamerica Pyramid | 600 Montgomery St, San Francisco, CA 94111 | 37.79470 | -122.40314 |
| NA | Fake Address | NA | NA |
| NA | NA | NA | NA |
| NA | NA | ||
| US City | Nashville,TN | NA | NA |
| Willis Tower | 233 S Wacker Dr, Chicago, IL 60606 | 41.87851 | -87.63666 |
| International City | Nairobi, Kenya | NA | NA |
Plot our geolocated points:
library(ggplot2) library(maps) library(ggrepel) ggplot(lat_longs %>% filter(!is.na(longitude)),aes(longitude, latitude),color="grey98") + borders("state") + theme_classic() + geom_point() + theme(line = element_blank(),text = element_blank(),title = element_blank()) + geom_label_repel(aes(label =name),show.legend=F) + scale_x_continuous(breaks = NULL) + scale_y_continuous(breaks = NULL)
To find international and non-street addresses, we must use the OSM service. We can use the ‘cascade’ method to attempt to use the US Census method for each address and only use the OSM service if the Census method fails (since OSM has a usage limit).
cascade_points <- sample_addresses %>% geocode(addr,method='cascade')
| name | addr | lat | long | geo_method |
|---|---|---|---|---|
| White House | 1600 Pennsylvania Ave Washington, DC | 38.898754 | -77.03535 | census |
| Transamerica Pyramid | 600 Montgomery St, San Francisco, CA 94111 | 37.794700 | -122.40314 | census |
| NA | Fake Address | NA | NA | NA |
| NA | NA | NA | NA | NA |
| NA | NA | NA | ||
| US City | Nashville,TN | 36.162230 | -86.77435 | osm |
| Willis Tower | 233 S Wacker Dr, Chicago, IL 60606 | 41.878513 | -87.63666 | census |
| International City | Nairobi, Kenya | -1.283253 | 36.81724 | osm |


- Docker Essentials Introduction to containers with Docker
- Code Monk Notes Tutorials from Code Monk for Competitive Programming
- Clean Code A guide to a clean code
- R Programming - Part 1 R programming tutorials
- Data Science with R Introducing Data Science using R programming
- Setting up Python virtual environment Short guide on python package installation
- Data Science Introduction Some Introductory concepts of Data Science
- Getting Started with Kaggle Improving your data science skill in Kaggle
- Named Entity Recognition in python using StandfordNER and NLTK Implementing NER with NLTK in Python
- Natural Language Processing with NLTK in Python Natural Language Processing with NLTK


Abstract background with Hexagon Grid group node of Animation Nodes in Blender - Tutorial
by Kuldeep Singh3DSinghVFX writes:
In this video tutorial, I have shown the Hexagon Grid group node which allows generating hexagon or honey comb grid with Animation Nodes in the Blender. It has very simple settings to control the different properties of each polygon of the grid. With this group node, you can generate many different grid-patterns that can be used for backgrounds, floors, etc. Project files available in the video description.
Happy Noding... :)


Harry Kane ‘thankful’ for Mauricio Pochettino’s impact at Tottenham
Tottenham forward Harry Kane has said that he will be “forever thankful” for the opportunities he was given by former boss Mauricio Pochettino at the club.
Pochettino was sacked by Spurs on Tuesday evening following a poor start to the season which sees the club sit 14th in the Premier League, with Jose Mourinho brought in to replace him.
Kane was given his debut by Tim Sherwood in 2014, but it is Pochettino who can be given huge credit for helping Kane progress in the last five years, and writing in a post on Twitter, the England captain issued his response to the news that the Argentine had left.
“Gaffer. I’ll be forever thankful to you for helping me achieve my dreams,” Kane wrote. “We’ve had some amazing moments in the last 5 and a half years that I will never forget.
“You were my manager but my friend as well and I thank you for that relationship. Good luck with your next chapter!”
Mourinho faces a tough opening set of fixtures, starting with a trip to West Ham on Saturday followed by marquee clashes against his former club Manchester United at Old Trafford and Bayern Munich in the Champions League.
Read more: Jose Mourinho explains Tottenham plans after succeeding Pochettino on big-money deal


This 3.2" TFT LCD touch screen with SPI interface can be programmed with Arduino and allows users to control de device settings and receive information from the experiments.
PhysTic uses light to explain the physics behind some amazing experiments! A fun mode to try is using strobe light to stop moving objects just by moving the stick!
PhysStick is the perfect project to learn the basics of programming, electronics, physics and most the important, have fun. In the course of the project we will teach you:
This pointer is controlled by an arduino Nano, which activates an stroboscopic light that changes its frequency with a touchscreen and the rotation of the stick.
The main utility of the PhysStick is if the light blinks with a frequency equal to the rotation of a spin (such as a simple fan), it creates a visual effect to make the spin still. This effect is called aliasing.
There are many other experiments that you could try with PhyStick in your home like: “Stop” water falling, experiment the Huygens-Fresnel principle or whatever you can think about.
Otherwise, if you are a teacher, the stick can be used to explain physics theorems in a simple way and much funnier than books and maths
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce semper, magna a ultricies volutpat, mi eros viverra massa, vitae consequat nisi justo in tortor. Proin accumsan felis ac felis dapibus, non iaculis mi varius.
Phystic has the following hardware:
| Microcontroller | Arduino Nano |
| TouchScreen | TFT Touchshield V2 |
| Inertial movement unit | MPU6050 |
| Led | 50W White LED Diode |
| Battery | 3.7 V 1500 mAh LiPo |
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Fusce semper, magna a ultricies volutpat, mi eros viverra massa, vitae consequat nisi justo in tortor. Proin accumsan felis ac felis dapibus, non iaculis mi varius.
"This is fantastic! Thanks so much guys!"
"Bootstrap is amazing. I've been using it to create lots of super nice landing pages."
"Thanks so much for making these free resources available to us!"


|
Lingvo
DeutschLernenfürAsylbewerber
|
Service for communication with the server REST API More...
Public Member Functions | |
| async Task< Workbook[]> | FetchWorkbooks () |
| Fetchs the workbooks available on the server. More... | |
| async Task< Workbook > | FetchWorkbook (int workbookID, CancellationTokenSource cancellationToken) |
| Fetches a workbook. More... | |
| async Task< Page > | FetchPage (PageProxy proxy, CancellationTokenSource cancellationToken) |
| Fetches a page. More... | |
| async Task | FetchPages (Workbook workbook) |
| Fetchs the pages for the given workbook and attaches them to the workbook . More... | |
Static Public Attributes | |
| static APIService | Instance => instance ?? (instance = new APIService()) |
| Singleton pattern More... | |
Service for communication with the server REST API
|
inline |
Fetches a page.
| proxy | The proxy whose Page is downloaded |
| cancellationToken | The CancellationTokenSource used to cancel the download. |
|
inline |
Fetchs the pages for the given workbook and attaches them to the workbook .
|
inline |
Fetches a workbook.
| workbookID | Workbook identifier. |
| cancellationToken | The CancellationTokenSource used to cancel the download. |
|
inline |
Fetchs the workbooks available on the server.
|
static |
Singleton pattern


A problem that I couldn’t figure out for a while was in the kata test environment. I was under the impression that each variable needed to be set in order for the code to work.
For instance in the Built-in Methods kata with the concat function, I was trying to set the arrays as variables and refer back to those specific variables to pass the tests. This worked for the first string, but when I tried to set a new variable with a new string, the function kept referring to the first function, and vice versa with the second function.
It took looking at the sample answer and working backwards to work out how the code was working. I also sought help from my facilitator who explained that the function page where I was writing the code was linking to another page to extract the arrays and strings for the tests.
In retrospect I can see that of course this was what the test environment was doing, but this wasn’t obvious to me in a stressed state. I’ve noticed that learning becomes a lot harder when stressed.
My brain tends to effectively shut down in self preservation so this makes it very difficult to absorb and retain information. I need to avoid getting to that state in the first place by not getting immediately overwhelmed by tasks and breaking them down into smaller problems to tackle.
Javascript is totally new to me so I’m still getting to grips with the long winded descriptive code. A challenge for me has been converting descriptive code to succinct code. In saying that I have been researching methods of how to shorten code that still performs a useful function.
The arrow function ‘=>’ looks like it would be a very effective way of saving time and space with code. With a traditional function you would name the function, specify the argument, then state how you want the function to perform.
The arrow function erases the need for the function syntax and even the return operation as it is implied. You can then remove the curly brackets and any remaining parentheses around the argument.
With this you’ve gone from a convoluted two line code to a succinct one line code. Admittedly it takes longer to decipher the code in a format like this, but I hope to get to the level where I can implement the arrow function effectively. I was pleasantly surprised with myself that after feeling like I was not up to the kata tasks and failing many times, I was still interested in learning ways to improve my code. This gives me hope for the times where I’m feeling particularly bad about my skills and abilities that I can push through it and continue to want to learn.
Using pseudocode is just as foreign to me as using Javascript but I can see the benefits of writing the code as simple steps initially then fleshing it out as code, so I am trying to incorporate it into my problem solving.
Trial and error seems to be my go to problem solving method. I have found it to be an effective method with a few issues I have had, by trying out a solution I thought might work, that failing, altering the code slightly and looping through that a few times.
The rubber ducky method is one I haven’t tried yet. I’m not much of a talker, even when I’m by myself, so it doesn’t come naturally to me to talk through a problem out loud to an inanimate object.
I have found reading error messages to be pretty helpful when I’m stuck on a problem, especially when it’s a syntax issue that I didn’t pick up on.
I haven’t got to grips with console logging, but like with pseudocode I can definitely see the benefits and want to incorporate it in my problem solving. By using the console.log() function in your html, navigating to inspect, then console, you can use this as a pretty effective debugging tool.
When I have a problem I definitely go straight to google for help. Any issue I could have has been encountered before, asked about on the internet and most likely answered. It’s also the least intrusive way of seeking help.
I’m pretty comfortable with asking peers for help, either through the foundations channel on Slack or messaging someone from my cohort that I’ve done a looping exercise with. I do get self conscious with my questions, especially if I think others will see them as being very basic.
At times like these I am more comfortable asking my facilitator for help as I know I won’t get any judgement. I try to go through all of my other problem solving techniques though before I reach out to my peers or facilitator so I can attempt to solve it first on my own.
I am still really bad at reflecting on my days even though I know the proven benefits of it when learning. It’s a hard habit to form for me, especially if I’ve had a tough day with the curriculum, the last thing I want to do is go back over the stressful parts. I’m going to make a conscious effort of reflecting back over the things I have learned with revision but I think doing this weekly rather than daily is more realistic for me.


publications
2022
- CVPR OralCMT-DeepLab: Clustering Mask Transformers for Panoptic SegmentationProceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2022
- CVPRTubeFormer-DeepLab: Video Mask TransformerProceedings of the IEEE Conference on Computer Vision and Pattern Recognition 2022
2021
2020
- ECCVWTdapnet: Prototype network with recurrent top-down attention for robust object classification under partial occlusionECCV 2020 Workshop on Visual Inductive Priors for Data-Efficient Deep Learning 2020
2019
- AAAITraining deep neural networks in generations: A more tolerant teacher educates better studentsIn Proceedings of the AAAI Conference on Artificial Intelligence 2019
2018
- Generalized Coarse-to-Fine Visual Recognition with Progressive TrainingarXiv preprint arXiv:1811.12047 2018
- ECCVMulti-scale spatially-asymmetric recalibration for image classificationIn Proceedings of the European Conference on Computer Vision 2018
- ECCVDeep co-training for semi-supervised image recognitionIn Proceedings of the European Conference on Computer Vision 2018
2017
- Few-shot Learning by Exploiting Visual Concepts within CNNsarXiv preprint arXiv:1711.08277 2017
- ACM MMUnrealcv: Virtual worlds for computer visionIn Proceedings of the 25th ACM international conference on Multimedia 2017
- ICCVSort: Second-order response transform for visual recognitionIn Proceedings of the IEEE International Conference on Computer Vision 2017
- ICCVScalenet: Guiding object proposal generation in supermarkets and beyondIn Proceedings of the IEEE International Conference on Computer Vision 2017
2015
- CGI Best PaperStructure-aware QR code abstractionThe Visual Computer 2015


Broken Cargo Box:
Who is that person up ahead? You should speak with them; you can examine the box later.


Welcome to Italy
Italy is home to some of the most amazing city's in Europe! It is a fantastic place to visit with Rome and Venice being some of the best city's! Venice is truely unique with it's many canals running though the city. This makes hopping on a gondalar and letting a local give you a tour of the city one of the best ways you can actually experience Venice. Rome on the other hand is another fantastic place to visit, filled with beautiful architecture, historic monuments and bustling streets. There really is no place like Rome!
A bit of a did you know section?
- Italy is beautiful in its own way, every Italian city is built in such a manner that it leaves you in awe.
- If you visit Italy but you don’t visit Tuscany then you miss on a lot of romance. Tuscany is certainly one of the world’s most romantic regions to visit. The list of what makes Tuscany so romantic is endless such as wineries, Tuscan villas, rolling hills etc.
- Italy is home to Europe's only three active vulcanoes: Etna, Stromboli and Vesuvius.


Hello. Welcome to wasteoftime.com ...
Procrastination is the avoidance of doing a task that needs to be accomplished. Sometimes, procrastination takes place until the "last minute" before a deadline. Procrastination can take hold on any aspect of life—putting off cleaning the stove, repairing a leaky roof, seeing a doctor or dentist, submitting a job report or academic assignment or broaching a stressful issue with a partner. Procrastination can lead to feelings of guilt, inadequacy, depression and self-doubt.
In a study of academic procrastination from the University of Vermont, published in 1984, 46% of the subjects reported that they "always" or "nearly always" procrastinate writing papers, while approximately 30% reported procrastinating studying for exams and reading weekly assignments. Nearly a quarter of the subjects reported that procrastination was a problem for them, regarding the same tasks. However, as many as 65% indicated that they would like to reduce their procrastination when writing papers and approximately 62% indicated the same for studying for exams and 55% for reading weekly assignments.
A 1992 study showed that "52 [percent] of surveyed students indicated having a moderate to high need for help concerning procrastination." It is estimated that 80–95% of college students engage in procrastination, and approximately 75% consider themselves procrastinators.
In a study performed on university students, procrastination was shown to be greater on tasks that were perceived as unpleasant or as impositions than on tasks for which the student believed he or she lacked the required skills for accomplishing the task.
The pleasure principle may be responsible for procrastination; one may prefer to avoid negative emotions, and to delay stressful tasks. The belief that one works best under pressure provides an additional incentive to the postponement of tasks. Some psychologists cite such behavior as a mechanism for coping with the anxiety associated with starting or completing any task or decision. Piers Steel indicated in 2010 that anxiety is just as likely to get people to start working early as late, and that the focus of studies on procrastination should be impulsiveness. That is, anxiety will cause people to delay only if they are impulsive.
Have you ever sat down to complete an important task — and then suddenly discovered you were up loading the dishwasher or engrossed in the Wikipedia entry about Chernobyl? Or perhaps you suddenly realize that the dog needs to be fed, emails need to be answered, your ceiling fan needs dusting — or maybe you should go ahead and have lunch, even though it’s only 11 a.m.?
Next thing you know, it’s the end of the day and your important task remains unfinished.
For many people, procrastination is a strong and mysterious force that keeps them from completing the most urgent and important tasks in their lives with the same strength as when you try to bring like poles of a magnet together. It's also a potentially dangerous force, causing victims to fail out of school, perform poorly at work, put off medical treatment or delay saving for retirement. A Case Western Reserve University study from 1997 found that college-age procrastinators ended up with higher stress, more illness and lower grades by the end of the semester.
But the reasons people procrastinate are not understood that well. Some researchers have viewed procrastination largely as a failure of self-regulation — like other bad behaviors that have to do with a lack of self-control, such as overeating, a gambling problem or overspending. Others say it's not a matter of being lazy or poor time management, as many smart overachievers who procrastinate often can attest. They say it may actually be linked to how our brain works and to deeper perceptions of time and the self.


House Intelligence Committee's Impeachment Report to Come 'Soon' After Thanksgiving: Adam Schiff
by LISA MASCARO and MARY CLARE JALONICK / AP(WASHINGTON) — House Intelligence Committee Chairman Adam Schiff says his committee is preparing an impeachment report to submit to the House Judiciary Committee “soon after Congress returns from the Thanksgiving recess.”
In a letter to his colleagues, Schiff is laying out evidence that his committee collected through 17 closed-door depositions and five open hearings in Democrats’ investigation of President Donald Trump’s dealings in Ukraine.
Schiff says the evidence “conclusively shows” that Trump conditioned a White House meeting and U.S. military aid on “Ukraine announcing sham, politically-motivated investigations that would help President Trump’s 2020 reelection campaign.”
Schiff says the probe will soon move to the House Judiciary Committee, where lawmakers will decide whether to write articles of impeachment.


Chart components are based on Charts.js 3.3.2+, an open source HTML5 based charting library.
To begin with, first you must install the charts.js package using npm and then include it in your project. An example with CLI would be;
Chart component is used to display a chart on page. The classname is UIChart and element tag is p-chart.
In order to chart to redraw itself, a new data object needs to be created. Changing the array contents without creating a new array instance does not trigger change detection.
| Name | Type | Default | Description |
|---|---|---|---|
| type | string | null | Type of the chart. |
| data | any | null | Data to display. |
| options | any | null | Options to customize the chart. |
| plugins | any[] | null | Array of per-chart plugins to customize the chart behaviour. |
| width | string | null | Width of the chart. |
| height | string | null | Height of the chart. |
| responsive | boolean | true | Whether the chart is redrawn on screen size change. |
| onDataSelect | function | null | Callback to execute when an element on chart is clicked. |
| Name | Parameters | Description |
|---|---|---|
| refresh | - | Redraws the graph with new data. |
| reinit | - | Destroys the graph first and then creates it again. |
| generateLegend | - | Returns an HTML string of a legend for that chart. The legend is generated from the legendCallback in the options. |
Chart type is defined using the type property. Currently there are 6 options available; pie, doughtnut, line(line or horizontalBar), bar, radar and polarArea.
Data of a chart is provided using a binding to the data property, each type has its own format of data. Here is an example of a line chart.
While a series can be customized per dataset, general chart options are defined with options property. Example below adds a title and customizes the legend position of the chart. For all available options refer to the charts.js documentation.
When data is selected with click event, chart component provides onDataSelect callback to process the selected data.
Charts are responsive by default and vw-vh units should be used when customizing the width and height of the chart.
If the chart is not responsive, other units should be preferred.


Disneyland 'Tiki' birds among vast theme park auction
by The Jakarta PostA Los Angeles gallery is preparing to auction more than 1,500 rare items from Disneyland and Walt Disney World, dating back to the theme park's founding in the 1950s.
Mike Van Eaton, co-owner of Van Eaton Galleries, said on Monday that the auction traces the history of the famed park, featuring items such as the original 1953 prospectus that Walt Disney used to pitch to financiers ahead of the park's 1955 opening in southern California, an original map of Disneyland, and other signage.
There will also be familiar characters up for sale, including animatronic birds from the Enchanted Tiki Room, a bronze statue of Mickey Mouse, and an "It's a Small World" animatronic doll.
Read also
The animatronic birds are estimated to sell between $80,000 and $100,000, while the doll is estimated to sell for between $15,000 and $20,000.
A Star Jets original attraction vehicle is expected to sell for $10,000 to $15,000. The Walt Disney-signed opening day guidebook is estimated to sell somewhere between $7,000 and $9,000.
The History of Disneyland and Walt Disney World auction will be held in Los Angeles over two days starting on Dec. 7.


{% extends 'layout.html' %} {% block title %} Welcome to mackys minerals{% endblock %} {% block content %}
Minerals are defined as solid, inorganic, naturally occurring substances with a definite chemical formula and general structure. Almost all chemical elements in the Earth's crust are associated with at least one mineral. They vary in color, hardness, density, crystal form, crystal size, transparency, composition, location, and abundance.
View a list of Macky's minerals


{% extends "base.html" %} {% comment %} Copyright 2010 Google Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% load i18n %} {% block content %}
{% endblock %} {% block footer %}{# Override this block to remove from page #}{% endblock %}


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Psalms 103:17
But the mercy of the LORD is from everlasting to everlasting upon them that fear him, and his righteousness unto children's children;


Swelling in the arms or hands often goes away on its own. See a GP if it does not get better in a few days.
Common causes of swollen arms and hands
Swelling in the arms and hands is often caused by a build-up of fluid in these areas, called oedema.
Oedema is usually caused by:
- staying in the same position for too long
- eating too much salty food
- being overweight
- being pregnant – read about swollen ankles, feet and fingers in pregnancy
- taking certain medicines – such as some blood pressure medicines, contraceptive pills, antidepressants or steroids
Oedema can also be caused by:
- an injury – such as a strain or sprain
- sudden changes in temperature – such as very hot weather
- an insect bite or sting
- problems with your kidneys, liver or heart
- a blood clot
- an infection
Check if you have oedema
Symptoms of oedema include:
How to ease swelling yourself
Swelling should go away on its own, but there are some things you can try to help.
Do
-
lie down and use pillows to raise the swollen area when you can
-
move your whole arm and shoulder – try raising your hand above your head while you open and close your fist
-
massage your arm or hand towards your body using firm, but not painful, pressure – for example, start at your fingertips and massage towards your palm
-
get some gentle exercise, like walking, to improve your blood flow
-
drink plenty of water
-
wash, dry and moisturise your arms or hands to avoid infections
Don’t
-
do not stay in the same position for long periods of time
-
do not wear clothes that are too tight
Non-urgent advice: See a GP if your arm or hand is swollen and:
- it has not improved after treating it at home for a few days
- it gets worse
Coronavirus (COVID-19) update: how to contact a GP
It's still important to get help from a GP if you need it. To contact your GP surgery:
- visit their website
- use the NHS App
- call them
Urgent advice: Ask for an urgent GP appointment if:
- the swelling is only in 1 arm or hand and there's no obvious cause, such as an injury
- the swelling is severe, painful or starts very suddenly
- the swollen area is red or feels hot to the touch
- your temperature is very high, or you feel hot and shivery
- you have diabetes
Immediate action required: Call 999 if:
- you feel short of breath or are struggling to breathe
- your chest feels tight, heavy or painful
You could have a blood clot in your lungs, which needs immediate treatment in hospital.
Treatment for swelling and oedema
Treatment for swelling or oedema that does not go away on its own will depend on the cause.
It may include lifestyle changes, such as losing weight or going on a low-salt diet.
Page last reviewed: 08 May 2019
Next review due: 08 May 2022


Cognizant academy has batches containing exceptionally hard working and talented students. They are digilant and diciplined in their work. Such batches are called Orbit Shifters and Shift Enablers. We felt that their hard work prior to joining must not go unnoticed or unrewarded. So, this project, proposed by our manager, aimed at creating an animation video to market the idea of such batches and to highlight such talent.
The first step to making this animation video possible was to write down a script that would have a storyline highlighting all the key factors of a trainees' journey pre and post Joining, and also the main features of "Early Engagement". Early Engagement is a learning portal available to joinees pre-joining.
According to the script, I hand-sketched the storyboard, a total of twenty three panels of scenes that were to be traced and animated.
The heart of any story is its characters and the color schemes used in the story that would keep the viewer immersed in the video
Now comes the most importatnt and time taking part of the task. TRACING. All the twenty-two scenes we properly traced in layers, ready to be animated.
The traced scenes were properly Animated according to the storyline requirements. The animation was then ready to tell the world its story.
The softwares being used for this project were: Adobe Illustrator CC, for character design and Adobe Flash, for tracing and animating the scenes.


06 Jul 2016
•
AWS
•
Custom IAM Policies
Restrict user activity to a specific region in order to minimize resource wastage. This policy will ensure that all of the resources are being created only in the region of your choice so that when it comes down to resource cleanup and housekeeping, you’ll be able to save quite a lot of time.
Apart from restricting access region-wise, it allows users read-only access to resources launched in other regions.
16 Jun 2016
•
AWS
•
Logging
Elasticsearch, Logstash and Kibana (ELK) is a stack widely used for log analytics. The AWS Elasticsearch service lets you run the Elasticsearch and Kibana right out of the box with some manual setup of Logstash required. In this setup, we’ll walk through setting up the ELK stack on AWS, enabling ELB logs and analyzing the logs to identify and visualize trends like traffic spikes, frequently vistitor IPs etc.
Setting Up Elasticsearch
- Choose a domain name that would be part of the ElasticSearch endpoint. For example, mysite.
- Select the number of instances in the cluster. Ideally select atleast 2 nodes so that the sharding works. Leave the rest of the options as it is and click Next.
- Under Set up access policy, select Allow open access to the domain. This will allow anyone to access your endpoint. Since we are only testing this, you can go ahead with this option. However, a production environment would require more restrictive access policies. Click Next and then Confirm and Create.
- The domain will take around 5 to 10 minutes to get created.
- Meanwhile, enable Access Logs on ELB by following this guide.
Setting Up Logstash
-
Update and upgrade your system packages:
sudo apt-get update && sudo apt-get upgrade
-
Logstash requires Java on the machine. Install Java:
sudo apt-get install default-jdk
-
Add Logstash Package Repositories to your sources list. Verify that you’re getting the latest repository info on this page
Run: echo "deb https://packages.elastic.co/logstash/2.3/debian stable main" | sudo tee -a /etc/apt/sources.list
-
Finally, update your packages again and install Logstash:
sudo apt-get update && sudo apt-get install logstash
-
Add your AWS IAM Access Key and Secret Key by using environment variables:
echo AWS_ACCESS_KEY_ID=AKIAACCESSKEY
echo AWS_SECRET_ACCESS_KEY=tUx2SECRETKEYACk32
-
Create a Logstash configuration file and enter the Elasticsearch endpoint and S3 bucket name in it. Store this file as /etc/logstash/conf.d/logstash.conf
-
Run Logstash:
/opt/logstash/bin/logstash -f /etc/logstash/conf.d/logstash.conf</code>
Setting Up Kibana
- Open Kibana from the URL provided on the Elasticsearch console.
- Use the index pattern elb_logs
- Use the timestamp @timestamp
- To get started with visualizing your data, read through the Visualize section of Elastic’s official documentation.
05 May 2016
•
Automation
•
AWS
•
Ops
Introduction
Ansible is one of the easiest Configuration Management tools to get started with due to its client-less architecture. Ansible is written in Python and uses YAML for is configuration files which is a simple and human-readable syntax. One of the most important features of Ansible is its idempotency which means changes are only made when required and ignored otherwise. This prevents the possibility of inconsistency in your infrastructure.
Installation
-
The easiest and recommended way of installing is from the package repositories. Simply run:
sudo apt-get install ansible
-
To test the installation, run the following. If you get a prompt asking for the SSH password, it indicates that the installation was successful.
ansible all -m ping --ask-pass
-
Open the file /etc/ansible/hosts and add the IPs of your servers in it. For example, you can add EC2 instance public IP or you can add the private IP if your control machine is the same VPC as the servers. The control machine as the name indicates is the machine which will be sending the commands to your servers.
-
To test if the control machine is able to reach the servers, run the ping
command. Key-based authentication is encouraged over passwords. use the --private-key
flag to specify the path to your keyfile. If successful, it will return a JSON response containing the string success
ansible all -m ping --private-key ~/path/to/key -u ubuntu
-
To log in as root, add the become flag (-b)
ansible all -m ping --private-key ~/path/to/key -u ubuntu -b
-
Test the configuration further by running a live command on the nodes
ansible all -a "/bin/echo skywide" --private-key ~/path/to/key -u ubuntu
-
If you’d like to have a fully automated and unattended setup, it would be wise to disable the host key checking feature. This feature when enabled will prompt for confirmation of the key the first time Ansible tries to log into the server. Disabling host key checking however has some implications and you might want to fully understand them before disabling the host check. Inside /etc/ansible/ansible.cfg
, edit the following host_key_checking = False
-
This way, you are able to successfully run commands on your nodes. However, Ansible goes far beyond running simple commands on your nodes. To make the most of it, we need to make use of playbooks.
Components
-
Inventory
The inventory file is nothing but a file containing the list of servers you want to configure. This file by default exists at /etc/ansible/hosts. It is also possible to use multiple inventory files.
-
Dynamic Inventory
A Dynamic Inventory is when the inventory files are stored in a different system. For example, the files can be stored on a cloud storage provider, LDAP or other such storage solutions.
-
Patterns
The hosts that are specified in an inventory file can be grouped into categories like web servers and db servers by using the appropriate syntax. A Pattern refers to a set of groups (which are a set of hosts). Take for example, ansible all -m ping
Here all refers to all hosts. Whereas in ansible webservers -m ping
the command will only work on the hosts in the group webservers as defined in the inventory file.
-
Variables
Variables, as the name suggests, are values that are used when you are working on systems that require varied configuration. Variables can be something like a port number or a private IP address. Variables can be defined either in Inventory files or Playbooks.
Example:
- hosts: all
vars:
http_port: 80
Here http_port is a variable.
-
Ad-Hoc Commands
Ad-Hoc Commands are used to perform quick tasks that you don’t want to write an entire playbook for. Take the analogy of running a command through shell (ad-hoc command) and running it through a bash script (playbook). ansible all -m ping
is an example of a ad-hoc command.
-
Playbooks
A playbook is a file containing instructions. The following playbook will install Apache web server on your nodes.
To run the playbook, use the following command:
ansible-playbook skywide.yaml --private-key ~/path/to/key.pem
If you want to avoid specifying the path to the key file every time, modify the file /etc/ansible/ansible.cfg
and set the path in the variable private_key_file
29 Apr 2016
•
Automation
•
AWS
•
Ops
The following is a bare-minimum CloudFormation template to launch an EC2 instance. It’s bare-minimum in the sense that only the Parameters and Resources which are absolutely necessary are part of the template.
This template can also execute a bash script provided as User Data to the EC2 instance. The User Data can be a set of directives that will be executed only once during the first boot cycle of the instance. This feature can be used when you need to say launch several instances with the Apache web server installed on them. To do this you would simply supply the command apt-get install apache2
as user-data. There is no need to add sudo keyword to the command as the script will be run with root privileges.
In the above template, the custom script updates the list of packages (apt-get update) and installs Apache (apt-get install apache2). You can add/remove commands as required. Be sure to put them inside double quotes and each command should be on a new line.
22 Apr 2016
•
AWS
•
Ops
Scan EC2 using OpenVAS
Scanning your EC2 instances periodically to check for vulnerabilities and security loopholes is definitely something that no Systems/DevOps engineer should miss out on. There are several scanning tools available for these purposes but very few free ones. OpenVAS is an opensource and free tool which originated as a fork of the now commercial Nessus scanning tool.
Follow these steps to quickly get started with OpenVAS
- Launch an Ubuntu EC2 instance. how-to
- Add the following PPA:
sudo add-apt-repository ppa:mrazavi/openvas
- Update apt-get:
sudo apt-get update
- Install OpenVAS:
sudo apt-get install openvas
- Run the following commands to update OpenVAS scripts and data:
sudo apt-get install sqlite3
sudo openvas-nvt-sync
sudo openvas-scapdata-sync
sudo openvas-certdata-sync
sudo service openvas-scanner restart
sudo service openvas-manager restart
sudo openvasmd --rebuild --progress
The above commands will download large amounts of data from the internet. It might take several minutes to complete depending on the internet speed.
- After the downloads have finished, Goto
https:<instance-public-ip>:443
and login. The default username and password is admin


speculative authentication
2020
After stumbling across this website documenting the work of a group of artists, designers, and technologists creating speculative authentication methods, I became intrigued. Although they used machine learning in their implementations, I was curious whether I could implement a method that doesn't use machine learning, but still bypasses the traditional word password model.
After playing with color as a password, I changed my approach to using pixel art as a speculative authentication method. Still very much a work in progress (particularly around encryption/hashing/salting/security), but an intriguing exercise in reimagining how we authenticate ourselves online and wondering the possible "what ifs" around it.
Landing page for the speculative authentication project
Users can select a sequence of tiles anywhere from 5 to 25. The text on the right will alert the user when they've used too many tiles.
As a designer + artist, I would definitely describe myself as visually inclined. I thought that an authentication method that focused on a visual implementation could be useful in more playful applications, such as a game or other interactive application.


Canvas Login Problem
Canvas could not find an account for your login.
Some things you may want to try:
- Make sure you are logged into this service with the appropriate UW NetID or Google account.
- Contact us at<EMAIL_ADDRESS>if you have questions or need help.


--- layout: post title: Quick Web performance test script date: "2013-02-10" ---
I was interested in testing out my new homepage server's performance in rather simple terms. I thought bombarding a single URL with Apache Benchmark would distort the results too much, and I also didn't want to load the resources outside my control (e.g. Google Analytics). I made a simple BASH script that loops indefinitely and does a wget call that fetches all the resources and links on my homepage recursively and displays the time it took to do that for each iteration.
This simple shell script should work for on most platforms as long as you have "date" that supports "+%s.%N" -format, "wget" and "bc".
 Now here's a better one. First of all, the previous one actually failed to recursively fetch all of the pages. Also, now all URLs are processed in parallel to reduce the time it takes to warm up multiple pages.
{{< highlight bash >}} #!/usr/bin/env bash # URLs to warm up urls=$(cat "${HOME}/warmup_urls.txt") # Temp path for storing files fetched during warmup temp_path="/tmp/warmup.sh/" # Command to warm them up with warmup="wget -rp -nv -q" # If you want a slight delay between page loads to reduce load #warmup="wget -rp -nv -q -w 1" # ----- LOGIC ----- # # Function to warm up a single URL function warmup_url() { url=${1} echo "Warming up ${url}..." # Build the full command to warm it up cmd="${warmup} ${url}" # Run the command and time it start=$(date +%s.%N) ${cmd} end=$(date +%s.%N) elapsed=$(echo "${end}-${start}" | bc) echo "${url} warmed up in ${elapsed} seconds" } # Make sure the temp path exists and go there mkdir -p ${temp_path} cd ${temp_path} # Loop through the URLs and warm them up in parallel pids="" for url in ${urls}; do warmup_url $url & # Save background process PID pids="${pids} $!" done # Wait for the background processes to complete wait ${pids} # Get out of the temp path and remove it cd - > /dev/null rm -rf ${temp_path} {{< /highlight >}}Put the code in some file, a list of URLs in the path specified in the urls= -line, and run it with: ./somefile.sh


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Here is some more information about this product that is only revealed once clicked on.
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Is an easy to use R-Shiny web-app that simplifies the analysis of large-scale plant breeding experimental analysis by using the power and versatility
of Linear Mixed Models (LMM) . This app combines the analytical robustness and speed of ASReml
and SpATS
(Rodriguez-Alvarez et al. 2018)1 with the visual power offered by R
. Mr.Bean provides
a graphical workflow for importing data, identifying outliers, and fitting field data using LMM with or without spatial correction. The results are BLUPs/BLUEs
predictions and heritabilities for single-environmental experiments or multiple-environmental trial (MET) analysis. In addition, Mr.Bean also provides a module
for exploring results from METs using several graphical and multivariate techniques.
More about: https://mrpackages.netlify.app/mrbean.html
This app is a convenient and accurate way to analyze your agronomic data, visualize field patterns and select genotypes all in one place using the latest statistical and computational tools.
Features are built-in separate modules and you can start to discover the advantages of our tool as soon as you download the package!
Mr.Bean is the result from a collaboration of an international group of researchers including statisticians, quantitative geneticists, and breeders who wanted of simplify
and automate routine analysis to predict accurately the genetic potential of genotypes coming out of plant breeding pipelines.
1 Rodriguez-Alvarez, M.X, Boer, M.P., van Eeuwijk, F.A., and Eilers, P.H.C. (2018). Correcting for spatial heterogeneity in plant breeding experiments with P-splines. Spatial Statistics, 23, 52 - 71.


Yachts have to be cleared in by the police, Health and the Administration Officer. Officials normally come out to meet boats stopping at Fakaofo.
In spite of the strict regulations, boats appear to be allowed to make a short stop even if they arrive without prior permission. A cruising permit is required in advance but this rule does not appear to be strictly enforced for short visits.
Last updated December 2015.
Passports must be valid for 6 months.
Visas are required by all nationalities before arrival.
Visitor permits are issued by the Tokelau Apia Liaison Office in Samoa for a one-month stay, as can the visas.
Last updated December 2015.
Any firearms which are landed on any Tokelau island must be handed to the police to be kept until departure.
Last updated December 2015.
Typhoid is endemic in the drinking water, so drink bottled water, boil all drinking water and practice strict Hand Hygiene.
The cruising permit must be authorised by the Council of Elders (taupulega) of each island that the yacht wishes to visit. In view of the difficulty of communicating with Tokelau, the Official Secretary at the Office for Tokelau Affairs in Apia, Western Samoa, can contact the Council of Elders concerned, on behalf of those seeking permits. He will radio the islands for permission. Every visitor must pass a simple physical examination to ascertain that he or she has no obvious illness.
There is no limit on how long a yacht may spend in Tokelau; however, the Council has the right to ask a yacht to leave if the island's culture, customs, rules or regulations are violated.
No fees are charged. However, a donation should be made to the village, as appreciation of the assistance given by the villagers.
Social customs: Visitors should be very conscious of the island's customs, such as paying due respect to all older persons.
The population dresses conservatively and strictly observes the Christian Sabbath. Visitors are expected to attend church on Sunday morning, regardless of your religious background.
Atafu is the most conservative of the islands and is officially a 'dry' (no alcohol) island.
Animals must remain on board


Data Fields | |
| char | strName [64] |
| Property Name. | |
| ADLProfilePropertyType | eType |
| Property Type. | |
| int | iDataSize |
| Data Size in bytes. | |
| unsigned char | uData [1] |
| Property Value, can be any data type. |
This structure is used to store property information of an application profile
| char _PropertyRecord::strName[64] |
Property Name.
Property Type.
Data Size in bytes.
| unsigned char _PropertyRecord::uData[1] |
Property Value, can be any data type.


How to Manage a Freelance User Experience Designer or Researcher — Cakewalk Labs UX/UI Consulting Having worked remotely as a User Experience Researcher and Designer for the last 5 years, I’ve had clients that have been able to utilize me to my best abilities, push me to improve and even increase my own standards. I’ve also also had clients that have...
Whose bug is it anyway? I found a curious little bug and I’m interested in who you think should take responsibility for it. My mobile network provider sent me this message: I clicked on the link, and got this error …
Don't buy the AirPods Pro - Another Rattlegate story AirPods are awesome, and are also a failed product from Apple And I fell for it, as many, many others: iphonehacks com discussions apple com 1 discussions
ARCHITECTURE.md Open Source Software and especially large projects have a few defined standards that are used to promote welcoming new contributors and ensure a healthy collaborative environment like for example CONTRIBUTING.md, CODE_OF_CONDUCT.md, and issue/pull request...
China launches ambitious Tianwen-1 Mars rover mission The Tianwen-1 mission launched atop a Long March 5 rocket from Wenchang Satellite Launch Center early this morning (July 23), kicking off a seven-month cruise to Mars.
Five Buck Fatigue - Underjord This is about a reaction I noticed with myself in response to membership programs, patreons and individual sponsorship as I've run into significantly more of these following Corona. The advertising-supported model has confirmed many of the concerns about ...
I'm an Unemployed Waitress. Don't Dine Out At All. Restaurant staff across the country like myself are being asked to risk their lives for you to feel normal. My serving job at an expensive restaurant in Manhattan ended abruptly in mid-March. The last evening I worked, I had the distinct feeling of being ...
On .NET Live - A chat with the .NET Interactive Team For our first live stream of On .NET Live, we'll catch up with Maria and Diego from the .NET Interactive project to find out what they've been working on. We'll discuss new ways for learning .NET, as well as opportunities for content creators.
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obfuscar/obfuscar Open source obfuscation tool for .NET assemblies. Contribute to obfuscar/obfuscar development by creating an account on GitHub.
https://www.alumni.london.ac.uk/emailviewonwebpage.aspx?erid=bdcf8f36-94d4-4c02-8c26-020966d4ce35&trid=bdcf8f36-94d4-4c02-8c26-020966d4ce35 As you are a valued member of the University of London community, we are contacting you today to notify you of a data incident which may have affected your personal data. We believe it involves a number of UK and US healthcare, educational and not-for-pro...
Garmin services and production go down after ransomware attack | ZDNet Smartwatch and wearable maker Garmin planning multi-day maintenance window to deal with ransomware incident.
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Sudipto Majumder
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Flux Envelope Analysis¶
-
fea.
flux_envelope_analysis
(model, variables, max_value=1000, max_iter=1000, eps=0.0001)¶ Run Flux Envelope Analysis 1 on a model for the given variables
- Parameters
model (Optlang.Model,) – The original linear program to be reduced
variables (iterable) – A list of target variables contained in the model
max_value (positive number) – Maximum/Minimum Value for each variable (-max_value<=variable<=max_value). Will be applied to all variables with bounds greater than limit. Default 1000.
max_iter (positive integer) – Maximum number of optimization step iterations
eps (float) – Detection limit. Default 1E-4
- Returns
solution – The FEA solution
- Return type
Notes
This routine will attempt to find a complete solution, but does not guarantee that the solution returned will be complete. Always check the ‘complete’ attribute of the solution before utilizing.
References
- 1
Long, M. R. and Reed, J.L., “FEA”…


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Next: (setf class-name), Previous: initialize-instance, Up: Objects Dictionary
class-name
class ⇒ name
class-name
(class class)
class—a class object.
name—a symbol.
Returns the name of the given class.
If S is a symbol such that S =(class-name C) and C =(find-class S), then S is the proper name of C. For further discussion, see Classes.
The name of an anonymous class is nil.


--- layout: post title: Why use graceful tags: [] status: publish type: post published: true meta: {} --- If like me you have ever wondered why you should use: [code]{Path to}/apachectl graceful[/code] Instead of restart, then consider these simple but very good reasons to do so: graceful executes config test to see if any errors are present in your httpd.conf file. If there are the process is aborted (to be precise the parent process is aborted, but your child processes keep on running [until they finish serving their last request]) and you are notified of the problems. If everything is OK, then the server re-starts, but it's also very clever in that it tells child processes to finish serving requests before restarting (i.e. re-loading the config file) thus ensuring continuity of service for your end users. So the best thing to do really is to:


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Test table of contents
Catalogues with the option 'catalogue-item-htmltext' can be used for table of contents.
Chapter One
Chapter Two
Chapter Three
Extra chapter


- unBlockClient(String) - Method in interface limmen.id2212.nog.client.model.Client
-
Method to unblock a user by removing the username from the list of
blocked clients.
- unBlockClient(String) - Method in class limmen.id2212.nog.client.model.ClientImpl
-
Method to unblock a blocked client.
- updateBlocked(ArrayList<String>) - Method in class limmen.id2212.nog.client.view.GuiController
-
Method called when the client list of blocked users have gotten updated.
- updateChat(ChatRoom) - Method in interface limmen.id2212.nog.client.model.Client
-
updateChat, this method is called by the chatroom when something happens,
e.g if a client posts a message to the room, a client joins/leaves the room
etc.
- updateChat(ChatRoom) - Method in class limmen.id2212.nog.client.model.ClientImpl
-
this method is called by the chatroom when something happens,
e.g if a client posts a message to the room, a client joins/leaves the room.
- updateChat(ChatRoom) - Method in class limmen.id2212.nog.client.view.GuiController
-
Method called when a chatroom that the client is present in is updated.
- updateChatRooms(ArrayList<ChatRoom>) - Method in interface limmen.id2212.nog.client.model.Client
-
updateChatRooms, this method is called by the server when a chatroom
is created/destroyed.
- updateChatRooms(ArrayList<ChatRoom>) - Method in class limmen.id2212.nog.client.model.ClientImpl
-
This method is called by the server when chatrooms have been updated.
- updateClients(ArrayList<Client>) - Method in interface limmen.id2212.nog.client.model.Client
-
updateClients, this method is called by the server when a client
leaves/joins the register center or a chatroom.
- updateClients(ArrayList<Client>) - Method in class limmen.id2212.nog.client.model.ClientImpl
-
This method is called by the server when client-state changed and
GUI needs to be updated.
- updateLeftChatRoom() - Method in interface limmen.id2212.nog.client.model.Client
-
Method that is called by the server if the clients request to leave
a chatroom is successful.
- updateLeftChatRoom() - Method in class limmen.id2212.nog.client.model.ClientImpl
-
Method that is called by the server if the clients request to leave
a chatroom is successful.
- updateMainFrameChatRooms(ArrayList<ChatRoom>) - Method in class limmen.id2212.nog.client.view.GuiController
-
Method called when a swing-worker have fetched the updated list of
chatrooms from the server.
- updateMainFrameClients(ArrayList<Client>) - Method in class limmen.id2212.nog.client.view.GuiController
-
Method called when a swing-worker have fetched the updated list of
clients from the server.


Represents a group of shaders used for rendering.
More...
#include <ProgramInfos.hpp>
|
|
GLuint | _id |
| | The OpenGL program ID.
|
| |
|
std::string | _vertexName |
| | The vertex shader filename.
|
| |
|
std::string | _fragmentName |
| | The fragment shader filename.
|
| |
|
std::string | _geometryName |
| | The geometry shader filename.
|
| |
|
std::map< std::string, GLint > | _uniforms |
| | The list of automatically registered uniforms and their locations.
|
| |
|
std::map< std::string, glm::vec3 > | _vec3s |
| | Internal vec3 uniforms cache, for reloading.
|
| |
Represents a group of shaders used for rendering.
Internally responsible for handling uniforms locations, shaders reloading and values caching.
◆ ProgramInfos() [1/2]
| ProgramInfos::ProgramInfos |
( |
| ) |
|
◆ ProgramInfos() [2/2]
| ProgramInfos::ProgramInfos |
( |
const std::string & |
vertexName, |
|
|
const std::string & |
fragmentName, |
|
|
const std::string & |
geometryName |
|
) |
| |
Load, compile and link shaders into an OpenGL program.
- Parameters
-
| vertexName | the name of the vertex shader |
| fragmentName | the name of the fragment shader |
| geometryName | the name of the geometry shader (can be empty) |
◆ cacheUniformArray()
| void ProgramInfos::cacheUniformArray |
( |
const std::string & |
name, |
|
|
const std::vector< glm::vec3 > & |
vals |
|
) |
| |
Cache the values passed for the uniform array.
- Parameters
-
| name | the uniform array name |
| vals | the values to cache and to set the uniform to |
- Note
- Other types will be added when needed.
◆ id()
| GLuint ProgramInfos::id |
( |
| ) |
const |
|
inline |
Query the program ID.
- Returns
- the OpenGL ID
◆ reload()
| void ProgramInfos::reload |
( |
| ) |
|
Reload the program, recompiling the program and restoring all locations and cached uniforms.
◆ saveBinary()
| void ProgramInfos::saveBinary |
( |
const std::string & |
outputPath | ) |
|
Save the program to a compiled set of instructions on disk.
- Parameters
-
| outputPath | the output path |
- Warning
- The export to binary is not supported by all GPUs and will silently fail.
◆ uniform()
| GLint ProgramInfos::uniform |
( |
const std::string & |
name | ) |
const |
Query the location of a given uniform.
- Parameters
-
- Returns
- the uniform location in the program
- Note
- If the uniform is not present, will return -1, conviniently ignored by glUniform(...) calls.
◆ validate()
| void ProgramInfos::validate |
( |
| ) |
|
Perform full program validation and log the results.
- Note
- Depending on the driver and GPU, some performance hints can be output.
The documentation for this class was generated from the following files:


We're sorry but shinny-futures-web doesn't work properly without JavaScript enabled. Please enable it to continue.


Psk-Radio component is designed to be used inside a psk-radio-group component because in the essence, only one radio can be selected inside a group.
If you want to be able to select multiple options from a list, you can use
Radios are typically rendered as small circles, which are filled or highlighted when selected.
Psk-radio-group is notified when a psk-radio is clicked, so the group can then update the model.
An explanatory example using a full form can be found at:


abstract fun generateInstruction(): Instruction<TProgram>
Generates a single Instruction instance in some way.
Returns An instruction instance.


The primary goal of this project was to automate the document collection methods for the existing texttomining application. Previously, documents first downloaded in the XML format from the PubMed manually and then placed into an FTP server to automate the process, a python program was developed to extract the document using the PubMed API's and store it into a MySQL database.
Github
saurabhkumar
Email
saurabhkumar.spsu@gmail
Linkedin
saurabh-kumar-22179227


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You have indicated the plan will be a Managed application instead of a Solution template.
The re-use technical configuration section allows you to create new plans that point to the technical configuration of other plans. The workshop authors prefer to always leave this box unchecked as it willl allow finer grained control over the technical configurations for each plan.
The Azure regions section allows indicates which marketplace in which your offer will made available.
Proceed to the Plan listing section.


| Module | ActiveModel::Callbacks |
| In: |
/usr/lib/ruby/gems/1.8/gems/activemodel-3.0.0.beta4/lib/active_model/callbacks.rb
|
Provides an interface for any class to have Active Record like callbacks.
Like the Active Record methods, the call back chain is aborted as soon as one of the methods in the chain returns false.
First, extend ActiveModel::Callbacks from the class you are creating:
class MyModel extend ActiveModel::Callbacks end
Then define a list of methods that you want call backs attached to:
define_model_callbacks :create, :update
This will provide all three standard callbacks (before, around and after) around both the :create and :update methods. To implement, you need to wrap the methods you want call backs on in a block so that the call backs get a chance to fire:
def create _run_create_callbacks do # Your create action methods here end end
The run<method_name>_callbacks methods are dynamically created when you extend the ActiveModel::Callbacks module.
Then in your class, you can use the before_create, after_create and around_create methods, just as you would in an Active Record module.
before_create :action_before_create def action_before_create # Your code here end
You can choose not to have all three callbacks by passing an hash to the define_model_callbacks method.
define_model_callbacks :create, :only => :after, :before
Would only create the after_create and before_create callback methods in your class.
# File /usr/lib/ruby/gems/1.8/gems/activemodel-3.0.0.beta4/lib/active_model/callbacks.rb, line 52 52: def self.extended(base) 53: base.class_eval do 54: include ActiveSupport::Callbacks 55: end 56: end
define_model_callbacks accepts all options define_callbacks does, in case you want to overwrite a default. Besides that, it also accepts an :only option, where you can choose if you want all types (before, around or after) or just some.
define_model_callbacks :initializer, :only => :after
Note, the :only => <type> hash will apply to all callbacks defined on that method call. To get around this you can call the define_model_callbacks method as many times as you need.
define_model_callbacks :create, :only => :after define_model_callbacks :update, :only => :before define_model_callbacks :destroy, :only => :around
Would create after_create, before_update and around_destroy methods only.
You can pass in a class to before_<type>, after_<type> and around_<type>, in which case the call back will call that class‘s <action>_<type> method passing the object that the callback is being called on.
class MyModel extend ActiveModel::Callbacks define_model_callbacks :create before_create AnotherClass end class AnotherClass def self.before_create( obj ) # obj is the MyModel instance that the callback is being called on end end
# File /usr/lib/ruby/gems/1.8/gems/activemodel-3.0.0.beta4/lib/active_model/callbacks.rb, line 91 91: def define_model_callbacks(*callbacks) 92: options = callbacks.extract_options! 93: options = { :terminator => "result == false", :scope => [:kind, :name] }.merge(options) 94: 95: types = Array.wrap(options.delete(:only)) 96: types = [:before, :around, :after] if types.empty? 97: 98: callbacks.each do |callback| 99: define_callbacks(callback, options) 100: 101: types.each do |type| 102: send("_define_#{type}_model_callback""_define_#{type}_model_callback", self, callback) 103: end 104: end 105: end


Taliban 'frees US and Australian hostages as part of prisoner exchange'
The Taliban say they have released an American and an Australian hostage held since 2016 in exchange for three Taliban officials.
The hostages, American Kevin King and Australian Timothy Weeks, were released in southern Zabul province, ending their more than three years in captivity.
- Donald Trump says peace talks with Taliban are ‘dead’
- Taliban attack devastates Kabul compound even as US deal approaches
The release of Mr King and Mr Weeks took place in the province’s Now Bahar district, a region largely under Taliban control, according to a Taliban official.
It was not immediately known if the two hostages, both professors at the American University of Kabul, were handed over to Afghan government representatives, intermediaries or US forces.
Their freedom came hours after the Afghan government freed three Taliban prisoners and sent them to Qatar.
They included Anas Haqqani, the younger brother of the Taliban’s deputy Sirajuddin Haqqani, who also leads the fearsome Haqqani network.
It appears the Taliban had refused to hand over the two professors until they received proof their men had reached Qatar.
Afghan President Ashraf Ghani a week ago announced the “conditional release” of the Taliban figures, saying at a press event broadcast live on state television that it was a very hard decision he felt he had to make in the interest of the Afghan people.
Mr King and Mr Weeks were abducted in 2016 outside the American University in Kabul.
The following year, the Taliban released two videos showing the captives.
A January 2017 video showed them appearing pale and gaunt.
In the later video, Mr King and Mr Weeks looked healthier and said a deadline for their release was set for June 16 that year.
Both said they were being treated well by the Taliban but that they remained prisoners and appealed to their governments to help set them free.
It was impossible to know whether they were forced to speak.
Subsequently, US officials said that American forces had launched a rescue mission to free the two, but the captives were not found at the raided location.
US secretary of state Mike Pompeo and US national security adviser Robert O’Brien made separate calls to Mr Ghani on Monday to discuss the prisoners’ release, Mr Ghani’s spokesman Sediq Sediqqi said.
The release and swap were intended to try to restart talks to end Afghanistan’s 18-year war and allow for the eventual withdrawal of US troops from Afghanistan.
The United States had been close to an agreement in September with the Taliban but a fresh wave of violence in the Afghan capital that killed a US soldier brought talks and an impending deal to a grinding halt.
The agreement called for direct talks between the Taliban and Afghan government as well as other prominent Afghans to find a negotiated end to the war and set out a road map for what a post-war Afghanistan would look like.
In his discussions with Mr Pompeo and Mr O’Brien, Mr Ghani said he wanted a reduction in violence and an all-out ceasefire, his spokesman said.
According to a US State Department statement, Mr Pompeo told Mr Ghani the United States was “committed to work closely together to address violence if the president’s decision does not produce the intended results”.


TCRevision is our entry to the school entrepreneurship contest, we hope to improve the effectiveness of your revision while generating a profit, a section of which will be donated SHARE to help their work in zambia.


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--- status: publish layout: page tags: - contours - data - dem - elevation - lidar - ned - terrain author: display_name: Rick Kelson email<EMAIL_ADDRESS>published: true date: 2011-08-23 22:19:55 -0600 title: Elevation and Terrain Data categories: [] ---
The National Elevation Dataset (NED) is the primary elevation data product of the USGS. The NED is continually updated by the USGS. The NED is a seamless dataset with the best available raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands. The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. The AGRC has a statewide collection of 10 and 30 meter DEMs.
10 & 30 Meter Elevation Models (USGS NED)A digital elevation model (DEM) is a digital file consisting of terrain elevations for ground positions at regularly spaced horizontal intervals. This is a legacy dataset and does not get updated like the NED does. The USGS produces five different digital elevation products. Although all are identical in the manner the data are structured, each varies in sampling interval, geographic reference system, areas of coverage, and accuracy; with the primary differing characteristic being the spacing, or sampling interval, of the data. The AGRC has a statewide collection of 10, 30, and 90 meter DEMs.
10, 30, & 90 Meter Elevation Models (USGS DEMs)Light Detection and Ranging elevation data is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light often using pulses from a laser. Currently this is the most accurate elevation dataset AGRC has but it is only available for a few areas of the state. In addition to the bare-earth DTMs and first-return DSMs, most LiDAR data also has point clouds of elevation information.
For more information about LiDAR visit Exploring LiDAR
.5 Meter LiDAR (2016 Monroe Mountain)AGRC has a statewide coverage of 5 Meter Auto-Correlated DEMs in addition to some 2 meter areas. The DEMs were created from the imagery collected during the 2006 NAIP and HRO aerial photography flights. The auto-correlation process is not as rigorous as other methods of elevation modeling such as photogrammetry, lidar mapping, radar mapping, etc, and therefore end-users should be aware that anomalies are expected within the elevation dataset. In comparison to the USGS NED dataset, the 2 and 5-meter DEM provides higher resolution and horizontal accuracy but anomalies are present within the data.
2 Meter Auto-Correlated Elevation ModelsIf you have any trouble contact Rick Kelson at<PHONE_NUMBER>)