Struct RecordedConnectionIssue
Utility class for recording connection issues. It is public, not internal, because it is a useful building block for implementing other consistency providers.
Namespace: Orleans.EventSourcing.Common
Assembly: Orleans.EventSourcing.dll
Syntax
public struct RecordedConnectionIssue
Properties
| Improve this Doc View SourceIssue
The recorded connection issue, or null if none
Declaration
public ConnectionIssue Issue { get; }
Property Value
| Type | Description |
|---|---|
| ConnectionIssue |
Methods
| Improve this Doc View SourceDelayBeforeRetry()
delays if there was an issue in last attempt, for the duration specified by the retry delay
Declaration
public Task DelayBeforeRetry()
Returns
| Type | Description |
|---|---|
| Task |
Record(ConnectionIssue, IConnectionIssueListener, ILogConsistencyProtocolServices)
record a connection issue, filling in timestamps etc. and notify the listener
Declaration
public void Record(ConnectionIssue newIssue, IConnectionIssueListener listener, ILogConsistencyProtocolServices services)
Parameters
| Type | Name | Description |
|---|---|---|
| ConnectionIssue | newIssue | the connection issue to be recorded |
| IConnectionIssueListener | listener | the listener for connection issues |
| ILogConsistencyProtocolServices | services | for reporting exceptions in listener |
Resolve(IConnectionIssueListener, ILogConsistencyProtocolServices)
if there is a recorded issue, notify listener and clear it.
Declaration
public void Resolve(IConnectionIssueListener listener, ILogConsistencyProtocolServices services)
Parameters
| Type | Name | Description |
|---|---|---|
| IConnectionIssueListener | listener | the listener for connection issues |
| ILogConsistencyProtocolServices | services | for reporting exceptions in listener |
ToString()
Declaration
public override string ToString()
Returns
| Type | Description |
|---|---|
| System.String |


Description:
The garter snake is a great starter reptile especially if you want a snake. It's small, skinny and NON-VENOMOUS!
This means if it bites you you'll be A-Okay. Garter snakes are great because they have a good appetite and are dinural creatures
awake by day and asleep by night. They're also very affordable and cool with multiple different morfs. All in all it's a great
first reptile pet.
What You Will Need:
Description: The Leopard Gecko is another great first reptile pet. It is small, affordable and pretty easy to take care of. The Leopard Gecko
is Non-Venomous. However they are nocturnal meaning they sleep during the day and are wake at night. Therefore when you see them during the day they
wont be very active. It also means any escape that may happen will happen at night so keep that in mind.
What You Will Need:
Description: BallPythons are definitely the most difficult to take care of on this whole list, not because they're difficult just because they have the most needs.
They require higher humidity, grow to be much bigger and are more likely to bite than the other ones on this list. However they're Non-Venomous and most of
time are in a little ball. Males can grow anywhere from 3-4 feet, females can grow up to anywhere from 3-5 however there are rare cases of 6 feet female ball pythons. It
may sound intimidating since they can grow to be so big but they are usually coiled into a ball making them appear smaller however I would recomond keeping them away from
your neck for your own saftey.
What They Eat:
Ball pyhtons can only eat Mice and Rats. You can choose to by them frozen but live is the best option. You can find frozen mice at pet smart but for live mice your going to
have to call and ask some local petshops. Talk to the person you buy your ball python from about what size mouse you will need. A good reference is the mouse should about the
size as the thickesy part of the snakes body. Something you should know is that the mouse will be bigger than the snakes head.
What You Will Need:


| |
Title: Train to Busan (2016)
Genres: Action, Sci-Fi
Rating: 9/10
Quality: HDRip
Plot Summary:
Elite passengers on a South Korean bullet train face a twitching, hissing threat from the cheap seats in Train to Busan, a public-transportation horror movie with a side helping of class warfare.
The setup is lean and clean.  Then, in just a few swiftly efficient scenes, we meet a harried hedge-fund manager and his small, sad daughter (Gong Yoo and an amazing Kim Su-ahn), see them settled on the titular locomotive and watch in dismay as a vividly unwell last-minute passenger lurches onboard. And we're off!
|


This is the overview pane. This will primarily display lists and summary details for different types of data in the corpus. Clicking on items here will generally display the details for that item in the details pane.
Each of the modules in this section will be hidden unless the user has selected the relevant view from the navigation menu at the top of the page.
This is a documents module. This module will display a list of documents associated with this corpus, such as scans of field notes or archival documents, copies of consent forms, etc. Clicking a document will display the document details in the details pane.
Here is a <ul> with id=documentsList for displaying the list of documents associated with this corpus. It may be necssary to have multiple <ul>’s for different types of documents.
This is a lexicon module. This module will display the list of entries in the lexicon or lexica associated with this corpus, and can be filtered and sorted, etc. Clicking a lexical entry will display that entry in the details pane.
Here is a <ul> with id=lexiconEntries for displaying the list of lexical entries for this corpus.
This is an orthographies module. This module will display the list of orthographies associated with this corpus. Clicking an orthography will display the orthography in the details pane for editing.
Here is a <ul> with id=orthographiesList for displaying the list of orthographies associated with this corpus. It may be necessary to have multiple <ul>’s for different languages.
This is a tags module. This module will display a list of tags in the corpus, organized in some way. It may be that this is removed later and integrated into other types of tools, like a corpus tagger. Alternatively, this may be the place where those tools live.
Here is a <ul> with id=tagsList for displaying the list of tags associated with this corpus.
Texts
Details Pane
This is the details pane, where the user will be doing most of their work. Users will use the overview pane to pull up items to work on, and then input and edit those items here.
Each of the modules in this section will be hidden unless the user has selected the relevant view from the navigation menu at the top of the page.
This is a documents module. Details of individual documents - or perhaps the document itself - will be displayed here.
This is a lexicon module. Details of individual lexical entries will be displayed here.
This is an orthographies module. Details of individual orthographies will be displayed here.
This is a tags module. Details of individual tags will be displayed here (for example, all the phrases a tag has been applied to).
Toolbar
This is the toolbar. It will contain various tools that the user is likely to need regardless of the particular view they’re working in, such as quick searching, the save button, the character palette, and certain types of lists that users may need while working (e.g. a list of tags that users can click to apply to the item they’re working on).


Please refer to How to Run for basic usage
Explain how to upload the original Agent to RRS-OACIS
For RRS-OACIS, you can use the agent that used RoboCupRescue Simulation Agent Development Framework (RCRS-ADF) as a prerequisite. Refer to the tutorial on RCRS-ADF and create Agent.
Once you have created the Agent, prepare an Agent Zip file with the following configuration
※ Zip file name is optional
Upload Agent data used for simulation to RRS-OACIS.
Click "Agents" from the sidebar.
(the following images can be magnified)
Or, to the browser,
http://localhost:3080/agents
to access
Select the Agent to upload
Enter name of Agent
You can use alphanumeric characters and underscores in the name
Press the button to upload Agent data to RRS-OACIS.
Upload completed when displayed as above.
Describes how to download the Agent uploaded to RRS-OACIS
in the browser
http://localhost: 3080 / agent / (agent's unique ID)
accessed
Or you can move from the Agent screen by Link.
Press the "Download Zip" button.
Agent data can be downloaded
Explain how to archive the uploaded agent.
Archived Agent will no longer be displayed on simulation selection screen, etc.
in the browser
http://localhost: 3080/agent/(agent's unique ID)
accessed
Or you can move from the Agent screen by Link.
Press the "Archive" button
Archive is successful if the Archived item is True like the above image
Explain how to display the archived Agent
in the browser
http://localhost:3080/agents_archived
Access to
The data of the archived Agent like the image above is displayed in a list.
Explains how to upload the original Map to RRS-OACIS.
Map data with the following specifications can be used with RRS-OACIS.
※ Zip file name is optional
Upload Map data used in simulation to RRS-OACIS.
Click "Maps" from the sidebar.
Or, to the browser
http://localhost:3080/maps
to access
Select Map to upload
Enter the name of Map
You can use alphanumeric characters and underscores for the name
Press the button to upload Map data to RRS-OACIS.
Upload completed when displayed as above
Describes how to download Map uploaded to RRS-OACIS.
in the browser
http://localhost: 3080/map/(unique ID of map)
accessed
You can move from the Map screen by Link.
Press the "Download Zip" button
Map data can be downloaded
Explain how to archive the map uploaded to RRS-OACIS.
The archived Map will no longer be displayed on the simulation selection screen, etc.
in the browser
http://localhost: 3080/map/(unique ID of map)
accessed
You can move from the Map screen by Link.
Press the "Archive" button
Archive is successful if Archived item is True like the above image
Explain how to display the archived Map
in the browser
http://localhost:3080/maps_archived
Access
The data of the archived map is displayed in a list like the above image.
Explain how to increase the number of clusters used in simulation.
The OS assumes Ubuntu (I confirmed that it can be executed by the same operation on macOS.)
in the browser
http://localhost:3080/settings-clusters
Access
Enter the user name and IP address of the PC you want to cluster, in the format "user name @ IP address".
Sets the saving format of the simulation log file Select the format supported by the cluster OS
* Ubuntu is the default gzip format and there is no problem.
Enter the cluster password
※ Password of Ubuntu account
Add by pressing the Add button.
Setting is completed when displayed as above.


Accessibility workshop
Solve the following tasks:
Task 1
Tab panel
Task 2
Button with dialog
Task 3
Video player
Useful material:
WCAG 2.1 AA
WAI ARIA Widgets
WAI ARIA roles
WAI ARIA states and properties


Finish the course within the next two weeks.
Don't forget to pick up groceries today.
Academind conference takes place in December, don't forget to book a hotel.


INX Media case: Delhi court allows ED to quiz Chidambaram in Tihar
Special Judge Ajay Kumar Kuhar passed the order on a plea filed by the agency
by Press Trust of IndiaA Delhi court on Thursday allowed the Enforcement Directorate to interrogate former finance minister P Chidambaram in Tihar jail on November 22 and 23 in connection with the INX Media case.
Special Judge Ajay Kumar Kuhar passed the order on a plea filed by the agency.
The Enforcement Directorate (ED), in its plea, had sought permission to quiz Chidambaram from 10 am to 1 pm and 2:30 pm to 4 pm on both days, saying that some documents have to be shown to him.


Assignments are given every two weeks. After an assignment is given, You will have 15 days to finish it. The skills you practice on the assignments are meant to be used on a project of your own. Commit your work frequently to GitHub. When you are ready to submit each assignment, tag your last commit you wish to be graded on GitHub.
| Assignment | Due Date |
|
|---|---|---|
| {{assignment.name}} | {{assignment.due}} |
|


{% extends "base.html" %} {%block title %}Methodology{% endblock %} {% block content %}
The main question for this project is whether or not all women are faced with the same 81 cent wage gap, or do differences in occupational specialization explain some of the difference?
One possible explanation for the wage gap in earnings is differences in educational attainment and degrees pursued. Therefore the Integrated Postsecondary Education Data System (IPEDS) will be used to compare the number of male and female graduates, and to determine the most popular majors by gender. This will indicate whether or not men and women start specializing in different fields in college that set them up for different earnings potential once they graduate.
Another possible explanation is that men and women end up in different occupations regardless of their major selection – especially as not all fields require a college degree. Under this theory the 81 cent wage gap at the national level is a reflection of women concentrating in fields that earn less than the fields men concentrate in. Therefore individual occupations will be compared to see if there are differences in earnings based on the fields men and women concentrate in. Additionally, the highest and lowest earning occupations will be examined to see if there are differences in the gender composition that may pull up men’s earnings at the national level while lowering women’s.


cells ZIKV mice human DRAG vaccine virus antibody DNA cell Zika using infection humanized mouse viral tested {border-style RNA infected sera Fig. protein px;} used #ffffff;} antibodies kit collected days shown data immune isolated myeloid response negative stained ELISA IgG RT-PCR cells, described flow Human PrM-E blood encoding mice, neutralizing positive PBMCs performed px; {font-family CD, according activated efficacy expression following font-size full-length immunized mice. prM-E primary protection serum supernatants (Fig. animals anti-mouse cells. constructs control day determine double; followed including incubated infection. load obtained pfu purchased targets transmission types weeks Humanized Larocca Western animal border-color border-width cells) cellular considered cultured determined developed different expansion extracted infection, plasmid pooled prM primer remains results selection solid; stem strand studies test testing titers vector virus. vitro washed week {font-style {font-weight (A) (AA (B) (Supplementary (human (strain -well Lane Moreover, PFU Therefore, USA). USA. Vero ZIKV-specific added bold challenge, challenged class cleavage courier; culture cytometry. demonstrated dose em; epidemic expressed fetal gene indicated length major mammalian models models, number partial possibility present proteins pt;} recent room secondary sequence significant similar transfected uninfected vaccinated virus, washing


We're building a great company, and we're very excited about the future of the company.
Southwest Airlines is successful because the company understands it's a customer service company. It also happens to be an airline.
Southwest Airlines is successful because the company understands it's a customer service company. It also happens to be an airline.
If we look at pricing holistically, we'll create a more solid business.
Basic
Intermediate
Expert


{{ whatWeDo.whatDoDetail_name }}
{{whatWeDo.whatDoDetail_desc1}}
{{whatWeDo.whatDoDetail_desc2}}
{{whatWeDo.whatDoDetail_desc3}}
{{whatWeDo.whatDoDetail_desc4}}
{{whatWeDo.whatDoDetail_desc1}}
{{whatWeDo.whatDoDetail_desc2}}
{{whatWeDo.whatDoDetail_desc3}}
{{whatWeDo.whatDoDetail_desc4}}
{{whatWeDo.whatDoDetail_desc5}}
{{whatWeDo.whatDoDetail_desc6}}


Synergy Album Cover to iTunes?
-
marcushe
Can Synergy put the album cover it downloads into iTunes? I just got a new iPod and want to be able to see the covers on it. Thanks!
-
Greg Hurrell
-
marcushe
thanks, I will submit this. I paid for Synergy Advance the moment it was announced and hope to see this feature soon!
Reply
This topic is now closed.


Interpreter
Interpreter interface for TensorFlow Lite Models.
tf.compat.v1.lite.Interpreter
tf.compat.v2.lite.Interpreter
This makes the TensorFlow Lite interpreter accessible in Python. It is possible to use this interpreter in a multithreaded Python environment, but you must be sure to call functions of a particular instance from only one thread at a time. So if you want to have 4 threads running different inferences simultaneously, create an interpreter for each one as thread-local data. Similarly, if you are calling invoke() in one thread on a single interpreter but you want to use tensor() on another thread once it is done, you must use a synchronization primitive between the threads to ensure invoke has returned before calling tensor().
__init__
__init__( model_path=None, model_content=None, experimental_delegates=None )
Constructor.
model_path
: Path to TF-Lite Flatbuffer file.model_content
: Content of model.experimental_delegates
: Experimental. Subject to change. List of
TfLiteDelegate
objects returned by lite.load_delegate().ValueError
: If the interpreter was unable to create.allocate_tensors
allocate_tensors()
get_input_details
get_input_details()
Gets model input details.
A list of input details.
get_output_details
get_output_details()
Gets model output details.
A list of output details.
get_tensor
get_tensor(tensor_index)
Gets the value of the input tensor (get a copy).
If you wish to avoid the copy, use tensor()
. This function cannot be used
to read intermediate results.
tensor_index
: Tensor index of tensor to get. This value can be gotten from
the 'index' field in get_output_details.a numpy array.
get_tensor_details
get_tensor_details()
Gets tensor details for every tensor with valid tensor details.
Tensors where required information about the tensor is not found are not added to the list. This includes temporary tensors without a name.
A list of dictionaries containing tensor information.
invoke
invoke()
Invoke the interpreter.
Be sure to set the input sizes, allocate tensors and fill values before calling this. Also, note that this function releases the GIL so heavy computation can be done in the background while the Python interpreter continues. No other function on this object should be called while the invoke() call has not finished.
ValueError
: When the underlying interpreter fails raise ValueError.reset_all_variables
reset_all_variables()
resize_tensor_input
resize_tensor_input( input_index, tensor_size )
Resizes an input tensor.
input_index
: Tensor index of input to set. This value can be gotten from
the 'index' field in get_input_details.tensor_size
: The tensor_shape to resize the input to.ValueError
: If the interpreter could not resize the input tensor.set_tensor
set_tensor( tensor_index, value )
Sets the value of the input tensor. Note this copies data in value
.
If you want to avoid copying, you can use the tensor()
function to get a
numpy buffer pointing to the input buffer in the tflite interpreter.
tensor_index
: Tensor index of tensor to set. This value can be gotten from
the 'index' field in get_input_details.value
: Value of tensor to set.ValueError
: If the interpreter could not set the tensor.tensor
tensor(tensor_index)
Returns function that gives a numpy view of the current tensor buffer.
This allows reading and writing to this tensors w/o copies. This more
closely mirrors the C++ Interpreter class interface's tensor() member, hence
the name. Be careful to not hold these output references through calls
to allocate_tensors()
and invoke()
. This function cannot be used to read
intermediate results.
interpreter.allocate_tensors() input = interpreter.tensor(interpreter.get_input_details()[0]["index"]) output = interpreter.tensor(interpreter.get_output_details()[0]["index"]) for i in range(10): input().fill(3.) interpreter.invoke() print("inference %s" % output())
Notice how this function avoids making a numpy array directly. This is because it is important to not hold actual numpy views to the data longer than necessary. If you do, then the interpreter can no longer be invoked, because it is possible the interpreter would resize and invalidate the referenced tensors. The NumPy API doesn't allow any mutability of the the underlying buffers.
input = interpreter.tensor(interpreter.get_input_details()[0]["index"])() output = interpreter.tensor(interpreter.get_output_details()[0]["index"])() interpreter.allocate_tensors() # This will throw RuntimeError for i in range(10): input.fill(3.) interpreter.invoke() # this will throw RuntimeError since input,output
tensor_index
: Tensor index of tensor to get. This value can be gotten from
the 'index' field in get_output_details.A function that can return a new numpy array pointing to the internal TFLite tensor state at any point. It is safe to hold the function forever, but it is not safe to hold the numpy array forever.


Documentary series on online hunt for Luka Magnotta coming to Netflix
by The Canadian Press Staff ContactMONTREAL -- A three-part documentary series about the online sleuths who helped track down the infamous killer Luka Magnotta is coming to Netflix.
The streaming service says the series will follow the story of internet users across the world who jumped into action after a video of an unknown man killing two kittens was posted online.
The online manhunt intensified as more disturbing videos were posted, including the infamous clip showing the dismemberment of 33-year-old university student Jun Lin.
The now 37-year-old Magnotta was convicted in December 2014 of first-degree murder in the slaying of Lin, as well as several other counts, and is currently serving a life sentence.

Netflix says the series, titled "Don't F....k With Cats: Hunting an Internet Killer," launches Dec. 18.
This Canadian Press report was originally published Nov. 20, 2019.


textshield.js protects sensitive webpage text from web scrappers.
Save personal data from malicious bots and being exposed to the search engines.
Highly optimized javascript library with the size less than 15KB.
Various backend framework support including node.js, php, and django.
Textshield handles protected text in a way that web scrappers cannot recognize. On the server-side, it encrypts original text with random seed. Then the encrypted text is decoded and rendered in raster format on client browsers. From web scrappers' perspective, Textshield-protected text will be seen as neither an HTML element with indecipherable value or distorted raster image.


species New climate richness Guinea conservation useful endemic change indigenous RCP plant Guinea’s language areas {border-style area px;} #ffffff;} Fig. future range current cultural biocultural protected diversity Biodiversity SDMs [], ecoregions priority cells data plants used distribution global px; using {font-family Indonesian Protected Science Species distributions font-size land languages model use variables Change Climate Conservation Papua biodiversity changes double; geographic high higher human impacts information map potential pp. soil value (see Data Ecology Eds. Global Guinea, Materials available biological border-color border-width collections diverse downloaded expected face heritage identified island mean present priorities records reductions significant solid; stacked study temperature terrestrial values {font-style {font-weight (), (). (bio .°C Areas Cámara-Leret Last, Methods). Nature Predicted R.C.-L. Research S). SDM World Zonation affect analyses analysis background based bold calculated central change. considered courier; dispersal ecoregion em; expansion food, grid group half http://orcid.org/--- identify important increase knowledge known large lowland modeled models planning projected pt;} quantified rain ranges raster resolution retained selected similar size smaller spatial species’ support van version


Facebook’s experimental ‘Whale’ app lets you create forced memes
by Andy WalkerFacebook’s really fishing for the next big thing, and it hopes that its new meme-creation app called Whale is the catch it’s looking for.
Spotted on the Canadian iOS App Store by The Information, Whale lets users create their own memes combining emoji, filters and text to uploaded or stock images.
“No distractions, no hidden subscription pricing. Use your own images or choose from our stock photo library and get creative with text, tools, effects, and more right inside the app,” reads the app’s description.
There’s also a free-draw tool for those who want to draw some classic memes, and users can share or save their creations to contacts or their devices.
Whale comes from Facebook’s New Produce Experimentation team, a division that also includes a group listening app and an app that makes meeting people a little less awkward.
However, neither have really been much of a hit, and neither have really been released to a global audience. That’s not to say Whale will be made widely available, either.
Facebook hasn’t pushed much info regarding Whale’s existence or future, but the company does have room to experiment. In late October, Facebook’s “family of apps” had 2.2-billion daily active users.
Feature image: Facebook’s NPE Team


Salmon Cookie Sales
Pat's Salmon Cookie Sale Table
Our cookie business is growing!
Add new location here:
New location:
Cookies sold per Hour:
Minimum Number of customers:
Maximum Number of customers:
Enter new data
Clear all data
What goes there?


JOutguess - online outguess check
access terminal
Paste Here
Loading...
(this may take a while the first time or without asm.js support)
Select or Drag File
processing...
Finished
results here
Download Output
Check Another


Your Booking request = $text ?> for = $startdate ?>, = $resource ?> (= $note ?>) had to be canceled by = $user->vorname ?> = $user->name ?>. Please look for another date. had to be deleted by = $user->vorname ?> = $user->name ?>, if you have questions, please contact: = $contact ?> has updated and is awaiting approval. was approved by = $user->vorname ?> = $user->name ?>.
Following adaptions had performed:
= $changes ?>


Aang was the best Avatar ever. Aang had feelings for katara. Nationality: Southern Air Temple. Roku came before him. korra came after him. Aang is a male air nomad. He learnt energybending from the energy lion turtle. He is the only avatar actually known for using this bending. Aang was frozen in an ice berg for 100 years of war. He was personally chased around the world by Zuko before Zuko changed.
Katara was aang wife.
Katara was also his water bending teacher.
She from the water tribe.
Nationality: Southern water tribe.
She was 14 in in Avatar: The Last Airbender.
She is a water bending master.
She is the best water bender there.
In the southern Water Tribe she was the only left water bender their.

And here father went to war and left sokka in charge of the Southern Water Tribe.
Katara and her brother were reaised by their grandmother kanna.
She is a healer.
Katara was eight when she lost her mother.
Katara faught her grandfather pakku.
And pakku was her water bending master.
Toph was the greatest earth bender ever. She created metal bending. With out her in alot of death would have happened. She can tell if your lying. she is friends with aang Toph is an earth bending master. She learnt earth bending from badgermoles. She has been blind since birth. Her parents were lao. And popo beifong. She feels the vibration on the ground. Thats how she "sees". She is a girl. She calls aang twinkle toes. In the future she a metal bending instructor. Having developed her own unique style of earthbending, Toph acquired a toughened personality And became famous for winning underground earthbending tournaments under the alias "The Blind Bandit" Doing so behind her parents' backs. Although initially uninterested in directly aiding the war effort. She eventually chose to leave behind her old life. And travel with Avatar Aang and his friends as his earthbending teacher. When her parents finally became unbearable for her. Toph's total mastery over earthbending, unique personality, and thoughtful pragmatism made her a valuable addition. After Republic City's formation, Toph became the city's first Chief of Police, forming the Metalbending Police Force to help maintain order.[14] She had two daughters with two different men: Lin, who succeeded her as Chief of Police, and Suyin, who created the metal city of Zaofu. Toph eventually set out to roam the world in search of enlightenment[15] before settling down in the Foggy Swamp.
Zuko is a prince. He is friends with aang. Zuko is the firebending tearcher of aang. Zuko was taught to redirect lightning by his uncle Iroh. Zuko is a fire bending master. He was originally the enemy of the avatar. His father chalanged him to a duel cause of speaking out of turn. He was banished after the duel. And his uncle iroh suported him when no one wanted to. Zuko with the help of katara defeated azula. Zuko rejected Ozais way of ounering the firenation. And decided to join the avatars team. And was determined to help the avatar put and end to the war. And zuko decleared a era of peace when he became ruler of the fire nation. When he was little he went to ember island.


Full Circle
Preface
What prompted this series of random thoughts was partly a rash of switching from Textmate to VI posts of late and the funniest thing I have ever read . That rant has nothing to do with Textmate to Vi but the context sort of brought the whole thing to a strange focus for me.
In the beginning most of these young innovative web dudes and dude-ettes came up mostly from the M$ Windoze world because that is what they had at home.Upon doing stuff that actually had to work they kinda figured out that Linux/Unix was “good on the server”. Then came like this Ruby stuff, really really cool.  So next comes the move to OS X for these guys/gals. Wow, this works great (shortly there is a realization that this is actually Unix with a way better couple of subsystems al la Apple) and there is this cool thingamagig that you must have called Textmate.
So the word gets around that if you want to do Ruby you gotta have Textmate and that only works on OS X and a Mac. Somewhere the whole Ruby on Unix thing sorta gets subsumed in the Textmate thing.
 Like Really great. Now you do some cool stuff with Ruby and git hooks and you get github. Wow now we are cookin’. And… hey this git thing is actually better on the command line and come to think of it so is a lot of stuff.
Let’s try this Vi thing (or sometimes this EMACS thing – but I am of the Vi church. What do you expect. I have been a BSD guy since the 80’s).
Man once you get used to it this Vi thing is quite amazing. I was learning all the shortcuts in Textmate anyway but this, this is really living.
2011 – now we have all the Textmate’rs writing about how to make the transition to Vi. I happen to agree that there is a lot to be said for the Mac and Vi, and, and… as the development environment of choice for just about anything but .Not, I mean .Net, or is that dot-net, I don’t know. I just got there from another place. Here I was thinking that I was stuck on Vi because I am an old fuddy-duddy that can’t seem to retrain some 20+ year old muscle memories. I guess everything that is old is new again. Or… Maybe it’s just that some really great ideas are timeless.
RB
:wq


Introduction
Lavacharts is a wrapper for Google's powerful Javascript Chart API
- The Lavacharts library takes away the need for manual writing of Javascript in your views
- The library wraps the work of generating the proper Javascript, so you can focus on the data and not the JS in page.
- Configuration is intuitive and easy to follow since it correlates 1:1 with the Google Chart API.
- Designed to work with any PHP project, but some extra features were added for Laravel & Symfony users.
- For Laravel designers, included are a ServiceProvider, Facade, and Blade template extensions.
- For Symfony designers, a Bundle to add Lavacharts to the service container and Twig template extensions.
Found a bug, have an issue, typos in the docs?
Come visit the project or the site on Github.


When two characters fight, sometimes a character will get hit hard enough that they should be Punched Across the Room or otherwise thrown clear through the air... but instead, they will brace for impact, take the hit, and sliiide backwards on their feet, carving or ripping trails in the ground (and kicking up plenty of dust) as they do so, until they come to a stop. Bonus points if they also reach one hand down to the ground for extra grip.
Improbable as this may be for a character to get forced backwards without getting flipped over in the process, damn, it sure looks cool! And any character with enough badassery can pull it off.
A similar phenomenon can happen in Video Games specifically when a character blocks their opponent's attack with a Defend Command — it pushes them back, but without them losing their guard, taking (much) damage, or actually getting knocked off their feet in the process.
Compare Three-Point Landing for a similarly awesome-if-improbable occurrence.
Examples:
- Extremely prevalent in Dragon Ball Z. It's a quick way of showing that the opponents are fairly equal.
- Bleach does this on more than one occasion. Notably, due to the nature of the cast's Not Quite Flight powers, a character will often skid back and throw up dust in midair.
- Jojos Bizarre Adventure has a good one around 0:30 in this clip.
- Pictured above: Appears in Haruhi-chan, episode five, when they're playing dodgeball.
- Happened at least once or twice in the Inuyasha anime.
- Ninja battles in Naruto are often the cause of much sliding.
- Happens at least once per episode in Pokémon.
- Happens every so often in Yu-Gi-Oh!. Odd since said monsters are holograms and thus have no physical substance nor can create wind.
- This happens quite a few time during Genkai's Tournament in Yu Yu Hakusho.
- Happens a few times in Hajime no Ippo, when a character takes a particularly strong hit with their guard up. Kind of ridiculous when you realize the canvas they're standing on is meant to provide solid footing so the boxers won't slip when throwing their punches.
- Heart Catch Pretty Cure: Cure Moonlight does one after receiving a big hit from Dark Pretty Cure, unlike most examples here the fact that she withstood the attack with just a slide back is treated as badass for Moonlight as she lost to the same attack in the first episode.
- Vampire Hunter D Bloodlust: D does one of these early on when he gets knocked off of Meier Link's carriage. Played for Laughs when his left hand yells "My face!" as he's being dragged along the ground.
- During an X-Men/Star Trek: The Next Generation crossover, Colossus takes a swing at Data, who catches the blow, but is still shoved back a few feet.
- Wonder Woman (1987): When Wonder Woman catches a brainwashed Superman's punch on her bracelets it shoves her backwards tearing through asphalt as she's moved.
- The Matrix Revolutions plays with this one during the final fight between Neo and Smith: at one point, they hit each other and go flying in opposite directions. Neo makes an elegant Three-Point Landing while Smith crashes into the ground and slides several yards. It's played with in that in that the ground slides with him.
- In Big Brother, Sunny Deol gives a thug a knockback with such force it looks as if the guy is being pulled by a speeding narm truck when he hits the ground.
- In Supercop, during the training exhibition for Michelle Yeoh, the cadet in the red tank top pushes Jackie into a knockback slide with a Battering Ram Head move. Jackie blocks it and is pushed backwards several feet in the gravel, kicking up some dust in the process.
- In The Host, a main character spears the beast's face with a street sign pole. The monster then convulses forward in retaliation, but the character stands his ground and slides a good distance backward as the evil thing perishes.
 Even better, it stops just short of a seagull.
- In Godzilla: Final Wars, this is the only reaction from Monster X when Godzilla blasts him with his Atomic Breath.
- Although Pokémon (as a turn-based RPG) doesn't actually utilize knockback, in its 3D incarnations (such as Pokémon Colosseum) various Pokemon species have recoil animations that portray them as taking a hit and sliding back while on their feet.
- Super Smash Bros.: Wavedashing in Melee is an Exploited version of this. By air-dodging diagonally into the ground, a character can skid forward in a cloud of dust... but still counts as standing still, meaning they can use attacks that couldn't be used while running. A more easily seen version of this trope in Melee (and Brawl) is in the Home Run Contest, while the sandbag is slowing to a stop. A stricter interpretation is the slide suffered after shielding an attack, which may be enough to get just out of range of a follow-up. Luigi in particular may slide clear across the stage.
- The MMORPG Mabinogi uses this as a combat mechanism. It also subverts this trope whenever you occasionally get knocked back and slide before you tumble over and regain your composure.
- In Fist of the North Star: Ken's Rage, named male enemy characters who are defeated are shown in a cutscene being pushed into a Knockback Slide from the attack that defeated them. (Mamiya, on the other hand, gets knocked onto her ass.)
- In Monster Hunter series, guarding attacks can result in this depending on what weapon you're using and how strong the attack in question is. Attacks that won't budge a lance or gunlance user (Who are slow and pack heavy-duty shields), for instance, can make a sword and shield user (Who move quickly, but only have a simple buckler or arm guard) get pushed back multiple body lengths and rendered incapable of action until they stop sliding. Certain skills allow you to reduce how far you get knocked back, but the nimbler weapon types will never be able to match the defensive capabilities of the slower ones, which tends to make dodging the superior defensive option for them; guarding being better utilized as a last resort.
- This is the most Raiden of Metal Gear Rising: Revengeance manages to do to Senator Armstrong while fighting him hand-to-hand: make him slide back about a foot after hitting him as hard as possible.
Raiden: Why Won't You Die??!Armstrong: Nanomachines, son!
- Final Fantasy XIV has some enemies that can cause knockback against you, which forces your character to slide backwards as they stagger. Stronger attacks cause you to slide back further.
- Happens in the DOOM (2016) reboot when fighting the Cyberdemon, though in this case, it is less Punched Across the Room so much as it's being Thrown Across the Room. Nevertheless, the Doom Marine still manages to stay upright and skid to a dead stop though the sheer rage in his system.
- We don't see the slide, but in Antihero for Hire Crossroad lands in this pose after being tossed.
- In Girl Genius, Merlot does this with a giant robot here◊.
- In the middle school brawl between Ben and Jimmy in Weak Hero, the first hit of Ben's that connects sends Jimmy skidding across the construction site, only kept upright by blocking the attack with his arms.
- Batman tends to do this in the DC Animated Universe and Batman: The Brave and the Bold when he's thrown, except usually without the dust. In "The Color of Revenge!", Robin gets the chance to pull this off.
- Toph Bei Fong, King Bumi, and other earthbenders do this in Avatar: The Last Airbender when they fight.
- Steven Universe: Jasper does this when Amethyst strikes her with two empowered whips, showing off how much stronger she is.
- It actually can happen in real life, but it takes certain kinds of surfaces, such as dusty dry earth or sand (the particles give up a lot easier than the person's stability does) or hardwood floor (as in the Risky Business slide.)
- Playing tennis on clay courts will also cause the players to slide in this manner (though of course not nearly as dramatically as in fiction).


* External Seminars * That sort of gives away the anonymity thing a bit :-) I am part of a peer review based study group. * Whatever interests me * Bunkai Bastards technically... * Have a small circle of instructors that share ideas and get together to train and pressure test concepts, ideas etc. * I regularly discuss topics with members of our international group * Bunkia bash applied karate seminars * Occasionally train 3k * I attend other, more practical classes that are further away * I teach for many groups * Founding member of the Bunkai Bastards which is a peer review group where topics are set and members of the group submit videos for the group to discuss. * Part of loosely-affiliated group of practically-minded martial artists who get together a few times a year to share ideas * HAVOC (International JKD, Kickboxing, Muay Thai, Karate, Ju Jitsu and wrestling group) and Aodenkoukai (International multi-style research group). * I post videos as part of a wider collective where we are set a task to complete and we then film our answers and upload them for the group to see, try out etc. * Seminars and visiting other more practical clubs * Bunkai bastards and attend many external seminars. * I train whenever i can with people like Iain Abernethy * Select seminars * Jka England squad * One off special events * Personal 1-21 training with higher grades * Visiting instructor globally * Bunkai Bash * Courses and enhanced training offered by other clubs * A group of peers who have trained with and competed against for a number of years who now support each other with course etc. The group is known as the Kumite Kai and we often train with each other * Various instructor groups that get together. Othe CPOs to cross train * Train and teach in Europe on multi-discipline courses * Applied karate seminars * Teaching Sr's * Regular training with fellow instructors. * other clubs where friends teach or train * National squad training * Member of two national associations * Recently started cross training in Wado Ryu, with another club. * Minnesota Kali Group * I train whenever I can at seminars and at another instructors Doji. I also travel for work and frequently ask if I can train at other clubs when I do. * Karate nerd * We work with other Dojo/associations on camps, seminars and our own events are always open. * Seminars, and regular get together with friends who study other martial arts * I train jujitsu and have many friends in other styles who I cross train with including Brazilian jujitsu, aikido, Muay Thai and kung fu. * Have done seminars for other clubs * karate association in university * Competition and squad trainings, some seminars * Different kyokushin organisations * We train with other clubs of various styles to improve our knowledge * An online martial arts course * Train at other clubs occasionally * Iain Abernethy seminars * Iain Abernathy course * Attend various seminars * I have attended some external karate seminars, Iain Abernathy, Rick Hotton, and attended some practical cross-training groups. I also attend Aikido classes. * Just local clubs that teach different arts, not really into too much association type stuff as it feels quite political at times. * Iain Abernethy seminars * Friends sharing knowledge * Study group * Group of like minded students learning practical bunkai & attending seminars together * We often train with or invite in other clubs and attend, run courses of people we are not associated to. * Seminars * I have a network of like-minded instructors throughout the UK and further afield that i take every opportunity to meet with and train and share * Theres a group of matial artists in the local area from varying clubs who get together to train with eachother once a month for a few hours * sparring group * Regular private training * Attend various courses Karate and self defence based * Seminars, training camps * Koryu Uchinadi Kenpo jutsu under Hanshi Patrick McCarthy 9th Dan * Attend seminas training * National Squad * I regularly link up with a local Shotokan school who I've developed a great relationship with after attending some courses and seminars. I also train with a buddy who does Wing Chun and is a prison warden. I try to attend the dojo of friends and people I've fostered good relationships with when I travel. I try to get in some time with my MMA buddies when time allows. * We have joint dan tradings, regular joint training sessions and an annual inter club with another local shotokan club. Instructors and high grades often train at both clubs. * We are part of European Chito-Ryu Group and International Chito-Ryu Karate Federation (ICKF) * With local other style clubs * A very large, if informal, group of us get together to drill various bits and pieces * local higher-graded teacher visits our club once a month (and oversees gradings) and I attend his black belt training once a month or more. * I also train in Wado Ryu and engage online * Groups abroad associated to our international parent association * Fitness class on pads with other martial artists * Judo and Suples Bulgarian Bag. High Wycombe * A shared desire to learn beyond our own syllabus has led a group of my friends and me to seek out seminars offering what our syllabus is lacking as well as regularly getting together to practice what we've gained from these semniars * Applied shotokan karate organisation. * Guest instructors come to our club. Invited to seminars hosted by other clubs. * Kick boxing * WKU England Traditional Karate Team. * FMA class with small weapons once per month * Friends from other styles meet up. * Work with a local Shotokan club * University Karate Club * Train with other groups and associations * BCKA * I train with like minded individuals from other clubs without politics. * I teach at various different camps in Europe. Krav, Ashihara, Kyokushin, BJJ etc. * With local other style clubs * Bunkai. Bastards * Positive handling, physical intervention, self defence, conflict management * Closely associated with Shotokai groups in uk, Italy and Japan * Scouting * Train multiple clubs * There is a London group. A sister group which we interract with. * I attend external seminars and do military and law enforcement self-defence and restraint techniques. * Seminars by guests * Mentor 2 other separate Club instructors. * Ian Abernethy seminar, though just one so far. Hoping to attend more * We train with Iain Abernethy for bunkai and Julian Mead for Ryukyu Kobujitsu and Yuishinkai Karate * Jutsu with Terry wingrove. Kabudo and a little kickboxing * Train with Kali and JKD groups * Occasionally attend seminars run by other clubs and styles. * Tutor for martial arts coaching qualifications. Academic study at MSc level with other Judo coaches * Many martial arts groups * Scenario * Yearly trips to Ireland to teach a weekend seminar at an associate's club with our own head of club * Teach on wider seminar circuit. SENI, WOSW, etc. * Seminar / workshops * We are actively encouraged to cross train and bring in new ideas. I try to regularly train at seminars and courses that expose me to new ideas. * Ikkaido * Clubs offering more practical karate * Occupational aggression and violence reduction training in healthcare * Extratraining * Linked to other clubs for regular joint sessions * I visit various clubs not connected with my association, simply to stand in the line and make sure I can still cut it. * We invite guest instructors from other styles and arts (eg aikido, sport karate, kendo) to broaden our understanding. We're open to adopting anything pragmatic * Get together with other stylists in my area to share knowledge. Also take part in regular grappling open mats to experience different grappling view points. * I'm a bastard and a secret starfish * Small group of people who train in 'traditional' 3K karate, but who meet once a week to train in practical applications, grappling, throwing, etc.. * Ian Abernethy’s forum * Bunkai Bash * Bunkai bash. * Bunkai bash, kata based sparring * Group training with others from different martial backgrounds. Sharing ideas and methods. * Seminars, weekends, residential,Bunkai bash * Technical advisor to a number of associations on personal protection * Train with other associations locally and styles. Regularly. * British kendo association * I train with a group of friends who all train in different martial arts. We meet to train and spar at another local club. * KU study groups


Making and selling of Gold Jewellery.
We also design jewellery as per customer requirements
Silver Jewellery
Making and selling of Silver Jewellery.
we also design Ornaments and decoration for temples such as Temple kalash,crowns,silver rose etc..
Sculptures
Making and selling of paintings,statues and sculptures.
We also make potraits,Murals and stained glass.
Music
We train students in singing and various musical instruments such as Tabla,Harmonium,Guitar,Piano etc.
Hardware and Software
Android Application Development, Ios Application Development, Web Applications, Java Desktop And Web Applications, Digital Marketing, Domain registration & Web hosting, SEO.


Created by Nathan Wang-Ly
Compare how your superannuation balance will grow based on different super funds or contribution amounts.
The projections provided are illustrative and should not be used as a substitute for professional advice.
See the bottom of this page for more information about this tool.
What is the purpose of this calculator?
The main purpose of this calculator is to compare between different superannuation fund investment options, which may estimate different returns or have different fee structures. The calculator can also be used to compare future balances based on different contribution amounts.
The initial development of this calculator and its current structure were inspired by the Investment Frequency Calculator.
How accurate is this calculator?
To keep the calculation simple, a series of assumptions have been made that may not be perfectly accurate or may not reflect your individual circumstances. For example, the tool assumes that all contributions made will be taxed at the concessional tax rate (which is only true under your first $25,000 of contributions per financial year). It also assumes an average inflation rate of 2% p.a.
As such, you should consider the results of this tool to be illustrative and not to be precise estimates of your future balance. Please seek external advice if you are unsure of how your personal situation may differ from the assumptions made by this tool.
For those who are interested, the calculations and assumptions used for this tool are explained in more depth here.
Does this tool collect any data?
No. All calculations are performed within your browser.


page not found
maybe you should create it for us!
or
return to our home page!
join our meetup group
subscribe to our newsletter


Javascript
The javascript includes are placed in the site's footer, in particular in the _includes/footer.html
file. The actual files are inside the js
folder.
The javascript files used, are the following (in the order they are loaded):
-
prirm.js: The Prism library; used for the syntax highlighting.
-
jquery.js: The jQuery library; write less, do more.
-
fluidbox.js: A very nice library that provides a beautiful and simple way to view the images. From the repo's description: Replicating and improving the lightbox module seen on Medium with fluid transitions.
-
scrollreveal.js: A library that allows you to easily reveal elements as they enter the viewport.
-
scripts.js: The custom javascript code is in here.
If you want to add your own custom javascript code, you may add it inside the js/scripts.js
file. There is a comment in the file, telling you where to put your code.


Article Recommendation Using Eigen Factor
(1) Assemble Citation Network
The first step requires assembling the citation graph for the large corpus. The first column is the citing paper ID and the column 2 is the cited paper id.Format: 1083734 197394###220708###387427
(2) Rank Node
Then we rank each article using “article level eigen factor algorithm” (ALEF). When page rank approaches are applied to acyclic citation graphs older papers are weighted excessively. ALEF is a modified version of page rank. The ALEF algorithm consists of five steps: a. The teleportation weight, wi for each node i is calculated by summing the in and out citations.Forming row stochastic matrix Hij:- The matrix Zij is then row normalized so that the sum of each row i equals, we call this row stochastic matrix,
Calculating Article Level Eigen Factor:- The ALEF scores are then calculated by multiplying wi by Hij and normalizing the scores by the number of papers, n, in the corpus


Instructions:
Tap the Message field at the bottom of the screen.
Enter the ASCII string you want to send.
Send a message by pressing the keyboard's Done button.
Use the ASCII/Hex control above the main console view to control the display format of messages.
Use the Copy button to copy the contents of the console to the clipboard.
Use the Clear button to clear the console's contents.


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Welcome! {% endblock %} {% block content %}
Thank you for agreeing to participate in this experiment. Each participant of this experiment is a member of a {{ num_players }}-person group, which is randomly formed. No participant knows their group members or which group they belong to.
Decisions: The decision you have to make in this experiment is the following: each of you will be given {{ endowment }} tokens of which you can keep or invest in a group account. Simultaneously, all other members of your group have to make the similar decision. None of you will be able to see the others' decision or the total number of tokens invested in the group account.
You have to enter your decision on the sliders in the next screen. After deciding on how many token(s) you want to invest in the group account, we will ask you how many tokens do you think there are in the group account. Note that this number has to be between 0 to {{ max_contribution }}.
Payoff: The total number of tokens in your group account will be doubled and divided evenly to all members of your group. For example, if you decide to invest 12 tokens and the total number of tokens in your group account is 60 tokens. Then, at the end of the experiment, you will end up having: (20-12) tokens + (60×2)/5 tokens = 8 tokens + 24 tokens = 32 tokens.
How you get paid: At the end of the experiment, the tokens you earned from playing the game will be exchanged into dollars, with an exchange rate of 4 tokens for $1. Your take-home payment will include: (1) participation payment of $3 and (2) the earnings you get from playing the game.


Hi 👋fellow coders! Iam Ananya Chatterjee from west bengal, Kolkata, and I am a technical blogger at Hash node. Today I would like to take this opportunity to talk about my journey with Teqfocus so far, so let's begin with some interesting facts. In 2015 when I was in class 10th, I watched a movie called The Imitation Game. In the movie, they showed how code-breaking work helped win World War II, and I was blown away after knowing that a simple code break helped to win a war and decided to learn programming languages. As I explored the world of coding more, I found Python was a very simple and easy language, to begin with. After that I started freelancing and built more than 100 projects on web development, android development and worked with 6 international clients. I did my engineering in computer science and got an opportunity from coal India limited to work with them for a year as an android dev. While working with them, I got the opportunity to build a project on a women's safety app. I recently joined Teqfocus as a software developer, and here I am currently working on WordPress platform. I am an open-source contributor as well, with Facebook, IBM, and Github, winner of hacklytics hackathon 2021, and recently played national level coding challenge with Microsoft imagine cup 2021. I am also a mentor in the girlscript summer code. Coming to my hobbies, I love bike riding and love watching Netflix. I had always dreamt to be a part of the Indian army, and take inspiration from the movie - LOC where Abhishek Bachchan said that A soldier lives by chance, loves by choice and kills by profession.
Devpost, MHL, Redhat, Linux,& Github
Java, Android Studio , Python, Selenium, React, Js, CSS, HTML
Freelancer
Web Devlopment, Android Devlopment, Python with selenium, Pentester
Bachelor of Technology with specialised in Computer Science Engineering
71.8%
Salt Lake, Bidhanagar-Kolkata, India
+91<PHONE_NUMBER>3
<EMAIL_ADDRESS>Your text message sent successfully!
Sorry! Message not sent. Something went wrong!!


public class LexiconFactory
extends java.lang.Object
| Constructor and Description |
|---|
LexiconFactory() |
| Modifier and Type | Method and Description |
|---|---|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
changeNames(java.util.Map<java.lang.String,java.util.List<FeatureSet>> lexiconMap,
java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureNames,
java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureSetNames)
In the specified lexicon map, this method
changes the names of specified features to new names, and
also changes the names of the specified Feature-Set names,
and return the modified lexicon-map
|
static Lexicon |
createLexicon(java.nio.file.Path path,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep)
Like other createLexicon() except that the lexicon is in the specified
path.
|
static Lexicon |
createLexicon(java.nio.file.Path path,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String entrySignalEnd)
Like other createLexicon() except this time each lexicon entry key
ends (on the same line) with the specified entrySignalEnd,
and the file is specified by the Path input.
|
static Lexicon |
createLexicon(java.lang.String filename,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep)
Reads the contents of the lexicon stored in the specified file,
and creates and returns a Lexicon object.
|
static Lexicon |
createLexicon(java.lang.String filename,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String entrySignalEnd)
Like other createLexicon() except this time each lexicon entry key
ends (on the same line) with the specified entrySignalEnd.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.nio.file.Path path,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep)
Reads the contents of the lexicon stored in the file specified by
the Path argument,
and creates and returns a map, which has one map entry per lexicon entry.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.nio.file.Path path,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String entrySignalEnd)
Like other createLexiconMap() except that the lexicon
is in the specified filename.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.lang.String[] lines,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep)
Like other createLexiconMap() except that the lexicon
entry keys extend to the end of the line, excluding spaces and
end-of-line comments.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.lang.String[] lines,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String entrySignalEnd)
Reads the contents of the lexicon represented by the specified
lines array,
and creates and returns a map, which has one map entry per lexicon entry.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.lang.String filename,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep)
Like other createLexiconMap() except that the lexicon
entry keys extend to the end of the line, excluding spaces and
end-of-line comments.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
createLexiconMap(java.lang.String filename,
java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String entrySignalEnd)
Like other createLexiconMap() except that the lexicon
is in the specified filename.
|
static java.util.List<java.lang.String> |
getOrderedListOfEntryKeys(java.nio.file.Path path,
java.lang.String entryStartSignal)
Returns an ordered list of keys (String) from a specified lexicon
of key-value entries, in the order in which they occur in the
lexicon.
|
static java.util.List<java.lang.String> |
getOrderedListOfEntryKeys(java.nio.file.Path path,
java.lang.String entryStartSignal,
java.lang.String entryEndSignal)
Returns an ordered list of keys (String) from a specified lexicon
of key-value entries, in the order in which they occur in the
lexicon.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
merge(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map1,
java.util.Map<java.lang.String,java.util.List<FeatureSet>> map2)
Merges two input maps of lexicon entries and returns the merged
outcome.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
mergeManyLexiconMaps(java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.util.Map<java.lang.String,java.util.List<FeatureSet>> map1,
java.util.Map<java.lang.String,java.util.List<FeatureSet>>... maps)
Reads the specified files (as lexicon files) into lexicon maps,
and merges those maps into a single lexicon map.
|
static java.util.Map<java.lang.String,java.util.List<FeatureSet>> |
mergeManyLexiconMaps(java.lang.String entrySignal,
java.lang.String featureSetSignal,
java.lang.String lineElementSignal,
java.lang.String inlineElementSep,
java.lang.String file1,
java.lang.String... files)
Reads the specified files (as lexicon files) into lexicon maps,
and merges those maps into a single lexicon map.
|
static void |
outputLexiconMap(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map,
java.lang.String symbolMarker,
java.lang.String featureSetMarker,
java.lang.String outfile)
Outputs (into a file or onto the screen) the specified lexicon map.
|
static void |
outputLexiconMap(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map,
java.lang.String symbolMarker,
java.lang.String featureSetMarker,
java.lang.String outfile,
java.util.List<java.lang.String> orderedKeys,
java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureNames,
java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureSetNames)
Outputs (into a file or onto the screen) the specified lexicon map.
|
public static Lexicon createLexicon(java.lang.String filename, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep) throws java.io.IOException
Each lexicon entry is one key with one or more associated feature sets. Each key must be on a separate line, and must be signaled by the specified entrySignal that must occur at the start of the line, ignoring leading spaces.
The feature sets are alternative semantics/features of the key. Collectively, the feature sets are called the "body" of the lexicon entry. Each feature set starts on a new separate line, and must be signaled by the specified featureSetSignal that must occur at the start of a line, ignoring leading spaces. The body of a feature set is a sequence of features, where each feature is a name-value pair. A feature name must occur at the start of a new line, ignoring leading spaces, and must end with a colon. The feature value can be in one of two formats:
filename
- the name of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.java.io.IOException
- if the file could not be found or readpublic static Lexicon createLexicon(java.nio.file.Path path, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep) throws java.io.IOException
path
- the Path of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.java.io.IOException
- if the file could not be found or readpublic static Lexicon createLexicon(java.lang.String filename, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String entrySignalEnd) throws java.io.IOException
filename
- the name of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.entrySignalEnd
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static Lexicon createLexicon(java.nio.file.Path path, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String entrySignalEnd) throws java.io.IOException
path
- the Path of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.entrySignalEnd
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.nio.file.Path path, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep) throws java.io.IOException
path
- the Path of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.lang.String filename, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep) throws java.io.IOException
filename
- the name of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.nio.file.Path path, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String entrySignalEnd) throws java.io.IOException
path
- the Path of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.entrySignalEnd
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.lang.String filename, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String entrySignalEnd) throws java.io.IOException
filename
- the name of the file containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.entrySignalEnd
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.lang.String[] lines, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep) throws java.io.IOException
lines
- the lines containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> createLexiconMap(java.lang.String[] lines, java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String entrySignalEnd) throws java.io.IOException
lines
- the lines containing the lexiconentrySignal
- a string/pattern that signals the start of a new
lexicon entry.featureSetSignal
- a string/pattern that signals the start of a new
feature set of a lexicon entry.lineElementSignal
- a string/pattern that signals the start of a new
value-element of a feature, when the value elements are lines that
follow the line having the feature name.inlineElementSep
- the inlineElementSep that separates the various value elements
of a feature, when those elements occur together on the same
line after the feature name and colon.entrySignalEnd
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static java.util.List<java.lang.String> getOrderedListOfEntryKeys(java.nio.file.Path path, java.lang.String entryStartSignal, java.lang.String entryEndSignal) throws java.io.IOException
path
- the Path of the file containing a lexiconentryStartSignal
- a string/pattern that signals the start of a new
lexicon entry.entryEndSignal
- a string that marks the end of the lexicon
entry key in the same line that has an entry key.java.io.IOException
- if the file could not be found or readpublic static java.util.List<java.lang.String> getOrderedListOfEntryKeys(java.nio.file.Path path, java.lang.String entryStartSignal) throws java.io.IOException
path
- the Path of the file containing a lexiconentryStartSignal
- a string/pattern that signals the start of a new
lexicon entry.java.io.IOException
- if the file could not be found or readpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> merge(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map1, java.util.Map<java.lang.String,java.util.List<FeatureSet>> map2)
map1
- the map of the first lexiconmap2
- the map of the second lexiconpublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> mergeManyLexiconMaps(java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.util.Map<java.lang.String,java.util.List<FeatureSet>> map1, java.util.Map<java.lang.String,java.util.List<FeatureSet>>... maps)
entrySignal
- the string that signals the start of a lexicon entryfeatureSetSignal
- the string that signals the start of a feature setlineElementSignal
- the string that signals the start, on a new
line, of an alternative value-element of a feature.inlineElementSep
- the string that separates inline alternative
value-elements of a feature.map1
- the first lexicon map that is part of the mergemaps
- zero or more additional lexicon maps that are part
of the mergepublic static java.util.Map<java.lang.String,java.util.List<FeatureSet>> mergeManyLexiconMaps(java.lang.String entrySignal, java.lang.String featureSetSignal, java.lang.String lineElementSignal, java.lang.String inlineElementSep, java.lang.String file1, java.lang.String... files)
entrySignal
- the string that signals the start of a lexicon entryfeatureSetSignal
- the string that signals the start of a feature setlineElementSignal
- the string that signals the start, on a new
line, of an alternative value-element of a feature.inlineElementSep
- the string that separates inline alternative
value-elements of a feature.file1
- the first lexicon file that is part of the mergefiles
- zero or more additional lexicon files that are part
of the mergepublic static void outputLexiconMap(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map, java.lang.String symbolMarker, java.lang.String featureSetMarker, java.lang.String outfile, java.util.List<java.lang.String> orderedKeys, java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureNames, java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureSetNames)
map
- the lexicon map where each key is a lexicon entry name, and
each value is a list of FeatureSet objects.symbolMarker
- a string that will put right before each
lexicon entry name in the output filefeatureSetMarker
- a string that will be put on a separate line
preceding each featureSet objectoutfile
- the file in which the lexicon map will be stored. If null
or empty, the output is printed on the screen.orderedKeys
- a list (of entry-keys) according to whose order the
entries of the specified lexicon will be output. If it is null or empty,
then the lexicon is printed according to the order of the keyset of its
map.oldToNewFeatureNames
- a map whose keys are the feature-names
to be changed, and the corresponding values are the new feature-names
of those features. If it is null or empty, no changes are
made to the feature names.oldToNewFeatureSetNames
- a map whose keys are the Feature-Set
names to be changed, and the corresponding values are the new
names of those Feature-Sets. If it is null or empty, no changes are
made to the feature-set names.public static void outputLexiconMap(java.util.Map<java.lang.String,java.util.List<FeatureSet>> map, java.lang.String symbolMarker, java.lang.String featureSetMarker, java.lang.String outfile)
map
- the lexicon map where each key is a lexicon entry name,
and each value is a list of FeatureSet objects.symbolMarker
- a string that will put right before each
lexicon entry name in the output filefeatureSetMarker
- a string that will be put on a separate line
preceding each FeatureSet objectoutfile
- the file in which the lexicon map will be stored.public static java.util.Map<java.lang.String,java.util.List<FeatureSet>> changeNames(java.util.Map<java.lang.String,java.util.List<FeatureSet>> lexiconMap, java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureNames, java.util.Map<java.lang.String,java.lang.String> oldToNewFeatureSetNames)
lexiconMap
- the input lexicon mapoldToNewFeatureNames
- a map whose keys are the names of the
features to be changed, and the corresponding values are the new names
of those features. If oldToNewFeatureNames is null or empty, no change
is made to any feature names.oldToNewFeatureSetNames
- a map whose keys are the Feature-Set
names to be changed, and the corresponding values are the new
names of those Feature-Sets. If it is null or empty, no changes are
made to the feature-set names. If oldToNewFeatureSetNames is null or
empty, no change is made to any feature-set names.


--- layout: example title: "Responsive Push Classes" permalink: /examples/responsive/push/ ---
.grid__cell@{{b}}


<%=label%>
<%=plot%>
<% if(genre.length > 0){ %>
<% for(i in genre){ %>
<% if(genre[i] != ''){ %>
<%=genre[i]%><% } %>
<% } %>
<% } %>
<%=app.helpers.rating(rating)%>
<% if(type == 'episode' && runtime > 0){ %>
Duration
- <%=app.helpers.formatTime(app.helpers.secToTime(runtime))%>
<% } %>
<% if(type == 'tvshow'){ %>
<% } %>
<% if(mpaa != ''){ %>
<% } %>
<%
i = 0;
if(cast.length > 0){
for(k in cast){
var c = cast[k];
if(i <= 40){ %>
<%=c.name%>
<%=c.role%>
<% }
}
} %>
<% if(type == 'episode'){ %>
HTML5 player
Codec support is very limited in the browser.
H.264 video generally works but only with 2 channel audio. Works best in Chrome, may crash browser and/or Kodi!
VLC player
VLC Player provides an
embeddable video player, it will play most videos, but does require you to
download and install extra software.
Works well in Chrome and Firefox.
Download
A direct link to download the media. Some browsers may attempt to play the media natively or you can right click
and "Save as" to download the file to your computer/device.
Streams
<% for(i in streamdetails.video){
var s = streamdetails.video[i];
%>
- <%=s.width%> x <%=s.height%> <%=s.codec%>
<% } %>
<% for(i in streamdetails.audio){
var s = streamdetails.audio[i];
%>
- <%=s.channels%> channels <% if(s.language != ''){ %>(<%=s.language%>)<% } %> <%=s.codec%>
<% } %>
Note
- For best results, use Chrome
- Playback might not work at all
- Seeking doesn't work
- Stacked videos don't work
<% } %>


Defender Proton:
Greetings! I'm Proton, a Defender of this village. It's a good day to be outside, eh?
But you should never let your guard down! There are some really bad monsters out here... You don't always take all of your possessions with you when you die!
"Who is the Lord of the manor and what is the tax rate?"
Quest


Woman charged with Reggae Girl Tarania Clarke’s murder remanded
Twenty-year-old Russelle Foster, who was charged with the murder of 23-year-old national footballer, Tarania Clarke, was remanded in custody when she appeared before the court on Wednesday.
Foster was ordered to return to court on Monday, December 9 when her case will again be mentioned.
Reports are that about 8:50 p.m. on Thursday, October 31, both women had a dispute over a cellular phone in Half Way Tree, St Andrew when a knife was used to stab Clarke, otherwise called 'Plum Plum'.
The Reggae Girl midfielder who was also the captain of the Waterhouse Football Club's women's team was taken to the hospital where she was pronounced dead.
Foster was later arrested and charged.


We love this part.
Have a look at our poster presentation at the 2013 National Postdoc Association meeting.
We've already funded these groups... your organization name could be here.
Look for yourself!!!


vignettes/RunningCohortDiagnostics.Rmd
RunningCohortDiagnostics.Rmd
This vignette discusses the process of generating a results set with
CohortDiagnostics
starting with cohort generation. Please
see the HADES library for
more information on the background for this.
Ensure that CohortDiagnostics
is installed on your
system and updated to the latest version. For this example we will also
be using the Eunomia
test package. Optionally, you may
install the ROhdsiWebApi
package to download cohort
definitions from an ATLAS instance:
remotes::install_github('OHDSI/Eunomia')
remotes::install_github('OHDSI/ROhdsiWebApi')
We need to tell R how to connect to the server where the data are.
CohortDiagnostics
uses the DatabaseConnector
package, which provides the createConnectionDetails
function. Type ?createConnectionDetails
for the specific
settings required for the various database management systems (DBMS).
For example, one might connect to a PostgreSQL database using this
code:
library(CohortDiagnostics)
connectionDetails <- createConnectionDetails(dbms = "postgresql",
server = "localhost/ohdsi",
user = "joe",
password = "supersecret")
For the purposes of this example, we will use the Eunomia test CDM package that is in an Sqlite database stored locally.
connectionDetails <- Eunomia::getEunomiaConnectionDetails()
cdmDatabaseSchema <- "main"
tempEmulationSchema <- NULL
cohortDatabaseSchema <- "main"
cohortTable <- "cohort"
The last four lines define the cdmDatabaseSchema
,
tempEmulationSchema
, cohortDatabaseSchema
, and
cohortTable
variables. We’ll use the
cdmDatabaseSchema
later to tell R where the data in CDM
format live. The tempEmulationSchema
is needed only for
Oracle users, since Oracle does not support temporary tables. The
cohortDatabaseSchema
, and cohortTable
specify
where we want to instantiate our cohorts. Note that for Microsoft SQL
Server, database schemas need to specify both the database and the
schema, so for example
cdmDatabaseSchema <- "my_cdm_data.dbo"
.
The prefered usage of cohort diagnostics is through the use of a study package. This is a dedicated R package that can be installed on a system and run. The primary reason for this is due to reproducibility, cohort definitions and resources frequently change. However, a study package can be seen as a snapshot, frozen at the time of creation and incrementally updated.
For example, the cohort diagnostics package includes an example set
of cohort sql and json to run on the Eunomia
test data in
the OMOP Common Data Model format.
library(CohortDiagnostics)
cohortDefinitionSet <- CohortGenerator::getCohortDefinitionSet(settingsFileName = "Cohorts.csv",
jsonFolder = "cohorts",
sqlFolder = "sql/sql_server",
packageName = "CohortDiagnostics")
Looking at this data.frame of Cohorts you will see the sql and json for these cohorts:
View(cohortDefinitionSet)
It is often desirable to perform cohort diagnostics on definitions stored in an ATLAS instance. Though this is not the preferred way of running studies (and this is certainly not the preferred method for an OHDSI network study involving multiple sites) it is possible to load references into a data frame used by cohort diagnostics.
The following code demonstrates how to create a set of cohort references from ATLAS that can be used by cohort diagnostics:
# Set up url
baseUrl <- "https://atlas.hosting.com/WebAPI"
# list of cohort ids
cohortIds <- c(18345,18346)
cohortDefinitionSet <- ROhdsiWebApi::exportCohortDefinitionSet(baseUrl = baseUrl,
cohortIds = cohortIds,
generateStats = TRUE)
Consult the ROhdsiWebApi documentation for details on authentication
to your atlas instance. Please note that in order to generate inclusion
rules statistics (a useful diagnostic tool) the parameter
generateStats
should be set to TRUE
.
Cohorts must be generated before cohort diagnostics can be run.
For example,
cohortTableNames <- CohortGenerator::getCohortTableNames(cohortTable = cohortTable)
# Next create the tables on the database
CohortGenerator::createCohortTables(connectionDetails = connectionDetails,
cohortTableNames = cohortTableNames,
cohortDatabaseSchema = "main",
incremental = FALSE)
# Generate the cohort set
CohortGenerator::generateCohortSet(connectionDetails= connectionDetails,
cdmDatabaseSchema = cdmDatabaseSchema,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTableNames = cohortTableNames,
cohortDefinitionSet = cohortDefinitionSet,
incremental = FALSE)
Note, that the above code will delete an existing
table. However, incremental mode can be used when setting the
parameter incremental = TRUE
.
The resulting cohort table should include the columns:
cohort_definition_id
, subject_id
,
cohort_start_date
, cohort_end_date
Once cohort definitions are loaded and cohort tables have been populated cohort diagnostics is ready to be executed.
First we set an export folder, this is where the results will be stored.
exportFolder <- "export"
Then we execute the function (using the default settings) as follows:
executeDiagnostics(cohortDefinitionSet,
connectionDetails = connectionDetails,
cohortTable = cohortTable,
cohortDatabaseSchema = cohortDatabaseSchema,
cdmDatabaseSchema = cdmDatabaseSchema,
exportFolder = exportFolder,
databaseId = "MyCdm",
minCellCount = 5)
The above cohort generation process will create a number of residual tables. As the process is complete, these are no longer required and can be removed.
CohortGenerator::dropCohortStatsTables(connectionDetails = connectionDetails,
cohortDatabaseSchema = cohortDatabaseSchema,
cohortTableNames = cohortTableNames)
Once the diagnostics have completed, a zip file will have been
created in the specified export folder. This zip file can be shared
between sites, as it does not contain patient-identifiable information.
When unzipped, the zip file will contain several .csv files that maybe
easily audited. Note that cell counts smaller than 5 have been removed,
as specified using the minCellCount
argument, to ensure
non-identifiability.
Assuming you completed the steps described above for one or more databases, you should now have a set of zip files, one per database. Make sure to place all zip files in a single folder.
Optionally, we can pre-merge the zip files into an sqlite database so we can view results in the Shiny app:
createMergedResultsFile(exportFolder)
This file can be used in the shiny app to explore results. See the vignette “Viewing results using Diagnostics Explorer” for more details.


--- date: 2011-01-30T00:00:00Z published: true title: ▶ LL Cool J vs The Prodigy-Mama said Kick Ass-102bpm (master) by DJTOPCAT url: /2011/01/30/-ll-cool-j-vs-the-prodigy-mama-said-kick-ass-102bpm-master-by-djtopcat/ ---
LL Cool J's classic Mama said knock you out acapella over The Prodigy's-Stand up
the theme music from the movie Kick Ass


Rolling updates on coronavirus disease (COVID-19).
To know the evolution of the situation, see this page.
Our License List


Food
About
Recipes
Cuisines
Tips
Login
What are you craving?
Party favorites
The best cocktails and how to make them
View recipes
A Royal-Icing Tutorial:
Decorate Christmas Cookies Like a Boss
Cookie Toolbox
Cookie cutters
Baking sheets
Batter bowls
Rolling pin
Shop Now!


Product Description
Brett Spell has been programming professionally in Java since 1996 and is a Sun-certified Java programmer, developer, and architect. Brett is a regular contributor to Java Pro magazine and former columnist on design patterns for the Intel Developer Services web site.
Product details:
Paperback: 720 pages
Publisher: APress; 2nd ed. edition (1 June 2005)
Language: English
Product Description
Includes the basic concepts of thermodynamics, first law of thermodynamics, second law of thermodynamics, thermodynamics and entropy. This work deals with applied mechanics, such as internal combustion engines, mechanics and simple machines.
Product details:
Paperback: 600 pages
Publisher: Laxmi Publications (1 Dec. 2005)
Language: English
Product Description
This book on Automobile Engineering has been written for the students preparing for B.E./B.Tech., A.M.I.E. (Section B), Diploma and Competitive examinations. It consists of Twelve chapters in all, covering the various topics systematically and exhaustively; and an "Additional Objective Type Questions' Bank" at the end.Each chapter of the book is saturated with much needed text supported by neat and self-explanatory diagrams to make the subject self-speaking to a great extent.
Product details:
Paperback: 600 pages
Publisher: Laxmi Publications (1 Dec. 2005)
Language: English
Product Description
Coulson and Richardson's classic series provides the student with an account of the fundamentals of chemical engineering and constitutes the definitive work on the subject for academics and practitioners. Each book provides clear explanations of theory and thorough coverage of practical applications, supported by numerous worked examples and problems. Thus, the text is designed for students as well as being comprehensive in coverage.
Product details:
Paperback: 928 pages
Publisher: Butterworth-Heinemann; 6 edition (19 Oct. 1999)
Language: English
Product Description
For B.E. I yr students | Strictly based on the syllabus of Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV, Bhopal , M.P.). Salient Features : Strictly based on the syllabus of RGPV, Bhopal, Simple and easy tio understand language with large number of solved examples and problems. Subject Review Questions/ Answers and objective questions at the end of the each chapter
Product details:
Paperback: 545 pages
Publisher: S. Chand Publishing
Language: English
Product Description
A highly accessible and applied introduction to communication theory
Simon Haykin and Michael Moher’s Second Edition of Introduction to Analog and Digital Communications offers an accessible introduction to analog and digital communications and serves as an introductory treatment of communication theory. It is filled with an abundance of insightful examples, problems, and computer experiments. Throughout the text, the authors emphasize the practical relevance of the theory wherever appropriate, and keep the mathematical treatment at an easy-to-grasp level.
Includes two new chapters: Chapter 10, Digital Signals and Noise, and Chapter 11, System Noise and Calculations.
Motivates learning through practical applications––from the Internet, to networks, to the common radio––and a historical background of communication systems.
Product details:
paperback: 540 pages
Publisher: John Wiley & Sons; 2nd edition (3 March 2006)
Language: English


Mulitple select
Disable select
Select Food
Choose your favorite food
Please choose a food
Select Food
Choose your favorite food
Please choose a food
Select Food
sentiment_very_satisfied
Choose your favorite food
Please choose a food
Choose your favorite food
Please choose a food


Ext.NET
5.3.0
.NET Component Framework for Enterprise Level Apps
Ext.Net.IVirtual Interface Reference
More...
Inheritance diagram for Ext.Net.IVirtual:
Detailed Description
The documentation for this interface was generated from the following file:
IVirtual.cs
Ext
Net
IVirtual
Generated by
1.8.20


👶 Linux basic kernel module
Hi, developer
This it an article about how to write a basic hello_world
linux module for 4.19 kernel.
Environment
I use Gentoo Linux on Intel Celeron machine:
uname -a
Linux gentoo 4.19.97-gentoo #5 SMP Tue Mar 31 19:57:47 -00 2020 x86_64 Intel(R) Celeron(R) CPU N2830 @ 2.16GHz GenuineIntel GNU/Linux
Of course you need kernel sources! On Gentoo they are at /usr/src/linux, on other systems you should install them via package manager or via git. Google will help you!
Code
You can browse the sources also here
hello-world.c
#include <linux/init.h>
#include <linux/module.h>
MODULE_LICENSE("Dual BSD/GPL"); /* MODULE_LICENSE is a required macro */
static int hello_init(void)
{
/* This will print to tty0 and /var/log/kern.log */
printk(KERN_ALERT "Hello, world!\n");
return 0;
}
static void hello_exit(void)
{
printk(KERN_ALERT "Goodbye, man!\n");
}
/*
* Every module has its initialize and exit function.
* This is how they are registered.
*/
module_init(hello_init);
module_exit(hello_exit);
Makefile
KERNELDIR ?= /lib/modules/$(shell uname -r)/build
default:
$(MAKE) -C $(KERNELDIR) M=$(CURDIR) modules
clean:
rm -rf *.o *~ core .depend .*.cmd *.ko *.mod.c .tmp_versions *.symvers modules.order
Kbuild
obj-m += hello-world.o
Explanation
Writing C file
Every Linux kernel module must have following things:
- License
- Intitialization function
- Exit function
License
MODULE_LICENSE
is used to declare the license. These values can be used for my kernel version:
"GPL"
"GPL v2"
"GPL and additional rights"
"Dual BSD/GPL"
"Dual MIT/GPL"
"Dual MPL/GPL"
"Proprietary"
For more information see include/linux/module.h file.
Initialization
module_init
is a macro that declares initialization function (for our case it is hello_init
). This function is called when the module is inserted to a kernelspace. e.g. on running insmod
command.
Exiting
module_exit
is a macro that declares exiting function (hello_exit
). This function is called when the module is removed from the kernelspace. e.g. on running rmmod
command.
Writing Makefile
For this simple purpose (as we do not have any dependencies) we just need to run make module
in kernel sources with ENV var M
set on current working directory. The only thing that I notices while trying to port ldd3 examples was: you should add obj-m += ...
statement to Kbuild file, not to Makefile :warning: Without this I got an error:
$ make
make -C /lib/modules/4.19.97-gentoo/build M=/home/ian/src/linux-modules/hello-world modules
make[1]: Entering directory '/usr/src/linux-4.19.97-gentoo'
CC [M] /home/ian/src/linux-modules/hello-world/hello-world.o
Building modules, stage 2.
MODPOST 1 modules
WARNING: modpost: missing MODULE_LICENSE() in /home/ian/src/linux-modules/hello-world/hello-world.o
see include/linux/module.h for more information
CC /home/ian/src/linux-modules/hello-world/hello-world.mod.o
LD [M] /home/ian/src/linux-modules/hello-world/hello-world.ko
make[1]: Leaving directory '/usr/src/linux-4.19.97-gentoo'
See this warning? Module does not work properly when compiled with this warning. Moving obj-m += ...
to Kbuild helped to solve that.
Running module
To run the module and make sure it runs, you need to do the following:
- Insert the module (as root)
- Watch the message on
dmesg
or tail /var/log/kern.log file - List modes, notice it runs
- Remove the module (as root)
- Watch the message again!
# insmod hello-world.ko
$ lsmod | grep hello_world # notice! dashes changed to undescrores here
hello_world 16384 0
$ tail -1 /var/log/kern.log
Jun 21 14:07:53 gentoo kernel: [10063.468659] Hello, world!
# rmmod hello_world
$ tail -1 /var/log/kern.log
Jun 21 14:10:14 gentoo kernel: [10202.723209] Goodbye, man!
Here we go! Hello world module is done.
Here is the list of useful links:
- GitHub: LDD3 examples (of course you know what ldd mean!)
- GitHub: Linux repository
- YouTube: How Linux Kernel Drivers Work
- Hello World tutorial 1
- Hello World tutorial 2
- Hello World tutorial 3


--- title: "\U0001F3E1 Home" layout: default ---
Currently I am managing Importers team along with Interceptor and Network Proxy at Postman. Before this I was Head of Product & Engineering at Postman and leading Tools (API Design, API Mock, Documentation, Monitoring and API Client). In the past, I was leading Search, Reporting, Api Design and Mock products.