Edit your JSON schema in the text area below. When you think you're done, click the Preview tab above to see how it will look and behave in apiman.
Below is a sample form that you might see in Apiman when your policy is being configured. The form you see below is what will be generated by the UI for the JSON Schema you created in the "JSON Schema" Tab. Click the "Add Policy" button to see what the JSON configuration data will be.


Vinith Suriyakumar
MIT EECS, CSAIL, LIDS, IMES
I am a second year PhD student at MIT EECS affiliated with CSAIL, LIDS, and IMES where I am advised by Dr. Ashia Wilson and Dr. Marzyeh Ghassemi. My research focuses on trustworthy machine learning. Currently, I study questions on protecting data privacy, fairness of algorithmic decision-making, and uncertainty quantification. I also work on translating this research to important healthcare settings such as improving equity in maternal heatlh and organ procurement processes. I am supported by a Wellcome Trust Fellowship.
I completed my Masters in May 2021 at the University of Toronto & Vector Institute advised by Dr. Marzyeh Ghassemi, Dr. Nicolas Papernot, Dr. Berk Ustun, and Dr. Anna Goldenberg. My thesis was focused on differential privacy and algorithmic fairness in machine learning for healthcare.
news
| Apr 29, 2023 | Our work on formalizing and analyzing how to fairly use group attributes in prediction models, When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction, was awarded an Oral presentation at ICML 2023! |
|---|---|
| May 14, 2022 | I’m excited to announce that our work from my Summer 2021 internship at Google on Public Data-Assisted Mirror Descent for Private Model Training was accepted to ICML 2022! |
| Mar 30, 2022 | I’m excited to announce that I’ve accepted an offer to return to Google this summer as a Student Researcher working with Dr. Peter Kairouz and Dr. Galen Andrew! |
| Mar 29, 2021 | I’m excited to announce that I’ve accepted an offer to join the PhD program starting Fall 2021 at MIT EECS where I will be affiliated with CSAIL, LIDS, and IMES. I will be co-advised by Dr. Ashia Wilson and Dr. Marzyeh Ghassemi. I will continue my research focusing on the methodological and theoretical foundations of machine learning, optimization, sampling, differential privacy, and algorithmic fairness. |
| Feb 19, 2021 | I’m excited to announce that I’ve accepted an offer to join Google this summer as a Research Intern working with Dr. Om Thakkar on differentially private federated learning! |


Publications
Law Review Article
Data Insecurity Law,
37 Santa Clara High Tech. L.J. __
(forthcoming)
Peer Reviewed Publications
Multi-Attribute Tradespace Exploration for Survivability, A. Ross*, D. Stein*, D. Hastings, Journal of Spacecraft and Rockets vol. 51 no. 5 (2014)
Constraint-aware Coordinated Construction of Generic Structures, D. Stein (presenter), T. Schoen, D. Rus, International Conference on Intelligent Robots (2011)
Experiments in Decentralized Robot Construction with Tool Delivery and Assembly Robots, A. Bolger*, M. Faulkner*, D. Stein* (presenter), L. White*, S. Yun*, D. Rus, International Conference on Intelligent Robots (2010)
Multi-Attribute Tradespace Exploration for Survivability: Application to Satellite Radar, M. Richards*, A. Ross*, D. Stein*, D. Hastings, American Institute of Aeronautics and Astronautics SPACE Forum (2009)
* shared first authorship, listed alphabetically
Theses
David Stein, Efficient Homomorphically Encrypted Privacy-Preserving Automated Biometric Recognition, MIT M. Eng. Thesis (Sept. 2020)
David Stein, Constraint-Aware Coordinated Robotic Construction of Generic Structures, MIT M. Eng. Thesis (not filed - see linked note) (June 2011)
Book Chapters
Toronto Tomorrow: The Master Innovation and Development Plan for the Quayside District Vol. 2 Ch. 5: “Digital Innovation” (2018)
Patents
John Wittrock, David Stein, Secure methods, systems, and media for generating and authenticating user credentials,
U.S. Patent 11,652,819 (issued May 16, 2023)
David Stein, John Wittrock, Identity systems, methods, and media for auditing and notifying users concerning verifiable claims,
U.S. Patent 11,115,207 (issued Sept. 7, 2021)
David Stein, John Wittrock, Methods, systems, and media for recovering identity information in verifiable claims-based systems,
U.S. Patent App. 17,460,860 (published Dev. 16, 2021)
David Stein, Ryan Vilim, John Wittrock Methods, systems, and media for secure authentication of users using one or more biometric recognition systems,
U.S. Patent App. 16,930,836 (published Jan 21, 2021)
David Stein, Authorization review system,
U.S. Patent 9,497,253 (issued Nov. 15, 2016)
David Stein, Presenting data in response to an incomplete query,
U.S. Patent 9,235,636 (issued Jan. 12, 2016)
David Stein, Unified interface for querying data in legacy databases and current databases,
U.S. Patent App. 13,737,322 (published July 10, 2014)


Arcade Error Reporting
Laser Tag Errors
Laser Tag Error Reporting
Bumper Car Errors
Bumper Car Error Reporting
Games & Other
this will be something eventually


CrimPapers
Articles published on 24 September 2017
On 24 September 2017, 2 new articles were published in 2 journals.
Factors Associated With Racial Differences in Child Welfare Investigative Decision-Making in Ontario, Canada
Sex Trafficking Survivor, Pro-Life Advocate


| Package | Description |
|---|---|
| org.apache.mina.example.haiku | |
| org.apache.mina.filter.buffer | |
| org.apache.mina.filter.codec |
Filter implementations that helps you to implement complex protocols via 'codec' concept.
|
| org.apache.mina.filter.compression | |
| org.apache.mina.filter.errorgenerating |
An IoFilter that provides flexible error generation facilities.
|
| org.apache.mina.filter.executor |
IoFilters that provide flexible thread model and event queue monitoring interface.
|
| org.apache.mina.filter.firewall |
Classes that implement IoFilter and provide host blocking and throttling.
|
| org.apache.mina.filter.keepalive |
IoFilter that provides the ability for connections to remain open when data is not being transferred.
|
| org.apache.mina.filter.logging |
Classes that implement IoFilter and provide logging of the events and data that flows through a MINA-based system.
|
| org.apache.mina.filter.ssl |
Classes that implement IoFilter and provide Secure Sockets Layer functionality.
|
| org.apache.mina.filter.statistic |
Classes that implement IoFilter and provide the ability for filters to be timed on their performance.
|
| org.apache.mina.filter.stream |
Stream based IoFilter implementation.
|
| org.apache.mina.filter.util |
Utility classes for the MINA filtering portion of the library.
|
| org.apache.mina.http | |
| org.apache.mina.proxy.filter |
| Modifier and Type | Class and Description |
|---|---|
class |
ToHaikuIoFilter |
| Modifier and Type | Class and Description |
|---|---|
class |
BufferedWriteFilter
An
IoFilter implementation used to buffer outgoing WriteRequest almost
like what BufferedOutputStream does. |
| Modifier and Type | Class and Description |
|---|---|
class |
ProtocolCodecFilter
An
IoFilter which translates binary or protocol specific data into
message objects and vice versa using ProtocolCodecFactory ,
ProtocolEncoder , or ProtocolDecoder . |
| Modifier and Type | Class and Description |
|---|---|
class |
CompressionFilter
|
| Modifier and Type | Class and Description |
|---|---|
class |
ErrorGeneratingFilter
An
IoFilter implementation generating random bytes and PDU modification in
your communication streams. |
| Modifier and Type | Class and Description |
|---|---|
class |
ExecutorFilter
A filter that forwards I/O events to
Executor to enforce a certain
thread model while allowing the events per session to be processed
simultaneously. |
class |
WriteRequestFilter
Attaches an
IoEventQueueHandler to an IoSession 's
WriteRequest queue to provide accurate write queue status tracking. |
| Modifier and Type | Class and Description |
|---|---|
class |
BlacklistFilter
A
IoFilter which blocks connections from blacklisted remote
address. |
class |
ConnectionThrottleFilter
A
IoFilter which blocks connections from connecting
at a rate faster than the specified interval. |
| Modifier and Type | Class and Description |
|---|---|
class |
KeepAliveFilter
An
IoFilter that sends a keep-alive request on
IoEventType.SESSION_IDLE and sends back the response for the
sent keep-alive request. |
| Modifier and Type | Class and Description |
|---|---|
class |
LoggingFilter
Logs all MINA protocol events.
|
class |
MdcInjectionFilter
This filter will inject some key IoSession properties into the Mapped Diagnostic Context (MDC)
|
| Modifier and Type | Class and Description |
|---|---|
class |
SslFilter
An SSL filter that encrypts and decrypts the data exchanged in the session.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ProfilerTimerFilter
This class will measure the time it takes for a
method in the
IoFilterAdapter class to execute. |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractStreamWriteFilter<T>
TODO Add documentation
|
class |
FileRegionWriteFilter
Filter implementation that converts a
FileRegion to IoBuffer
objects and writes those buffers to the next filter. |
class |
StreamWriteFilter
Filter implementation which makes it possible to write
InputStream
objects directly using IoSession.write(Object) . |
| Modifier and Type | Class and Description |
|---|---|
class |
CommonEventFilter
Extend this class when you want to create a filter that
wraps the same logic around all 9 IoEvents
|
class |
NoopFilter
A Noop filter.
|
class |
ReferenceCountingFilter
An
IoFilter s wrapper that keeps track of the number of usages of this filter and will call init/destroy
when the filter is not in use. |
class |
SessionAttributeInitializingFilter
|
| Modifier and Type | Class and Description |
|---|---|
class |
HttpClientCodec |
class |
HttpServerCodec |
| Modifier and Type | Class and Description |
|---|---|
class |
ProxyFilter
ProxyFilter.java - Proxy
IoFilter . |
Copyright © 2004–2016 Apache MINA Project. All rights reserved.


{% if field.errors %} {% comment %} Here we apply style="display: block;" because the default Bootstrap 4 `display` for invalid-feedback is `none`, and their normal way to make the div visible depends on a sibling selector (.form-control.is-invalid~.invalid-feedback) that doesn't apply well to radio and checkbox fields because it puts a red border around a much larger area than just the field. Hopefully this doesn't break too much... {% endcomment %} {% for error in field.errors %}


View Source
Hello, cdk8s-hosting!
Publish your static web pages on Kubernetes! cdk8s-hosting is a library (so-called a construct) for CDK for Kuberentes (cdk8s) that helps you to deploy static files from your local machine.


Maya Rockeymoore Cummings reports surgery was a success, will return to campaign trail
by Marty JohnsonMaya Rockeymoore Cummings, the widow of late Rep. Elijah Cummings (D-Md.), is recovering after a successful double mastectomy Friday at Johns Hopkins Hospital, The Baltimore Sun reported.
Cummings's campaign says she'll be back on the campaign trail soon.
Cummings is running for her late husband's 7th Congressional District seat but announced this earlier in the week that she would have the preventive surgery due to a family history of breast cancer.
“We are lucky to have a world-class institution like Johns Hopkins here in Baltimore and we are grateful to Dr. Mehrad Habibi, Dr. Gedge Rosson, and the rest of the wonderful Hopkins team that expertly performed Maya’s surgery,” Tucker Cavanagh, Cummings's campaign manager, said in a statement.
"Most importantly, we are so glad that Maya is healthy and recovering, and she’s looking forward to getting back on the campaign trail in a few weeks," he added.


Stages of Reading
Once Piaget published a theory on growth development others, specifically Jean Chall, applied it to reading theory. Chall created a stages of reading development still used by many today. A few decades later, Vygotsky's work, who was a contemporary of Piaget, had his work translated into English. This lead to new socio-cultural theories of literacy that were also influenced by post-modern movements.
The Readings
Chall's Stages
Chall on Stages of Reading Development. New Learning Online version
.Sociocultural Development of Reading
What is the Development of Literacy the Development Of?. Understanding Language
.The Tasks
Read
Complete the readings.
Annotate the readings by focusing on key differences between cognitive and sociocultural perspectives of learning.
Write
What's the answer?
Using the readings explain how people grow into readers.
Participate
Make a poster of how you believe reading develops. You can use Chall's model, Tompkins's model, somehting in between, or make up your own. Just define each stage or term, tell us what a student can do and what a teacher should do to help growth.
Criteria
- Develops a theory of reading stages and make a poster. This can be a slide deck, a website, or an actual poster you photgraph with you
Evidence
- Each element assessed in CAP is included in video.


New File
New Directory
Rename
Delete
Restore
API Docs
Treeview:
Trash:
Properties:
Contents - Download:


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Movies are capable of forming the pathway to our emotions. Reading stories can do that too but the visual flow of imagination is much clear and vivid in movies. Depending on your view, whether you look at it through the eyes of an antagonist or a protagonist, you tend to feel the turmoil of actions and emotions. It can let you discover those personal emotions which you dont encounter on a regular basis. Remember those superhero movies in which, after the end, you walk out of the theatre and the superhero's theme music starts playing in your mind making you feel you are the one. Thats's the kind of nostalgia it can cast on you, there are other types too, depends on the type of the movie you were watching. Cheers to this form of expression.


{% extends "base.html" %} {% block content %}
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Scroll jank due to touch/wheel handlers demo
View on GitHubInstructions
Scroll the page, observing the latency associated with each event.The 'running' animation represents the responsiveness of the JavaScript thread. Jank can be added to this thread as a regular repeating pattern ("periodic jank"), and/or directly inside of each touch/wheel handlers ("handler jank").
When working properly this demo will be able to capture both types of jank.
At the moment, Chrome requires the 'enable experimental web platform features' flag in order to reliably capture the periodic jank (see High resolution time for Event.timeStamp).
Safari 9+ appears to work well (though only at millisecond precision and with possible issues with NTP skew).


--- ---
|
TGUI
0.8-dev
|
#include <TGUI/Gui.hpp>
Public Member Functions | |
| Gui () | |
| Default constructor. More... | |
| Gui (sf::RenderTarget &target) | |
| Constructs the gui and set the target on which the gui should be drawn. More... | |
| void | setTarget (sf::RenderTarget &target) |
| Sets the target on which the gui should be drawn. More... | |
| sf::RenderTarget * | getTarget () const |
| Returns the render target on which the gui is being drawn. More... | |
| void | setView (const sf::View &view) |
| Changes the view that is used by the gui. More... | |
| const sf::View & | getView () const |
| Returns the view that is currently used by the gui. More... | |
| bool | handleEvent (sf::Event event) |
| Passes the event to the widgets. More... | |
| void | enableTabKeyUsage () |
| While tab key usage is enabled (default), pressing tab will focus another widget. | |
| void | disableTabKeyUsage () |
| When disabling the tab key usage, pressing tab will no longer focus another widget. | |
| void | setTabKeyUsageEnabled (bool enabled) |
| When the tab key usage is enabled, pressing tab will focus another widget. | |
| bool | isTabKeyUsageEnabled () const |
| Returns whether the tab key usage is enabled (if so, pressing tab will focus another widget) | |
| void | draw () |
| Draws all the widgets that were added to the gui. | |
| GuiContainer::Ptr | getContainer () const |
| Returns the internal container of the Gui. More... | |
| void | setFont (const Font &font) |
| Changes the global font. More... | |
| std::shared_ptr< sf::Font > | getFont () const |
| Returns the global font. More... | |
| const std::vector< Widget::Ptr > & | getWidgets () const |
| Returns a list of all the widgets. More... | |
| const std::vector< sf::String > & | getWidgetNames () const |
| Returns a list of the names of all the widgets. More... | |
| void | add (const Widget::Ptr &widgetPtr, const sf::String &widgetName="") |
| Adds a widget to the container. More... | |
| Widget::Ptr | get (const sf::String &widgetName) const |
| Returns a pointer to an earlier created widget. More... | |
| template<class T > | |
| T::Ptr | get (const sf::String &widgetName) const |
| Returns a pointer to an earlier created widget. More... | |
| bool | remove (const Widget::Ptr &widget) |
| Removes a single widget that was added to the container. More... | |
| void | removeAllWidgets () |
| Removes all widgets that were added to the container. | |
| bool | setWidgetName (const Widget::Ptr &widget, const std::string &name) |
| Changes the name of a widget. More... | |
| std::string | getWidgetName (const Widget::Ptr &widget) const |
| Returns the name of a widget. More... | |
| void | focusNextWidget () |
| Focuses the next widget. | |
| void | focusPreviousWidget () |
| Focuses the previous widget. | |
| void | unfocusAllWidgets () |
| Unfocus all the widgets. | |
| void | uncheckRadioButtons () |
| Unchecks all the radio buttons. | |
| void | setOpacity (float opacity) |
| Changes the opacity of all widgets. More... | |
| float | getOpacity () const |
| Returns the opacity of all the widgets. More... | |
| void | loadWidgetsFromFile (const std::string &filename) |
| Loads the child widgets from a text file. More... | |
| void | saveWidgetsToFile (const std::string &filename) |
| Saves the child widgets to a text file. More... | |
| void | loadWidgetsFromStream (std::stringstream &stream) |
| Loads the child widgets from a string stream. More... | |
| void | loadWidgetsFromStream (std::stringstream &&stream) |
| Loads the child widgets from a string stream. More... | |
| void | saveWidgetsToStream (std::stringstream &stream) const |
| Saves this the child widgets to a text file. More... | |
Gui class.
| tgui::Gui::Gui | ( | ) |
Default constructor.
If you use this constructor then you will still have to call the setTarget yourself.
| tgui::Gui::Gui | ( | sf::RenderTarget & | target | ) |
Constructs the gui and set the target on which the gui should be drawn.
| target | The render target (typically sf::RenderWindow) that will be used by the gui |
If you use this constructor then you will no longer have to call setTarget yourself.
| void tgui::Gui::add | ( | const Widget::Ptr & | widgetPtr, |
| const sf::String & | widgetName = "" |
||
| ) |
Adds a widget to the container.
| widgetPtr | Pointer to the widget you would like to add |
| widgetName | If you want to access the widget later then you must do this with this name |
| Widget::Ptr tgui::Gui::get | ( | const sf::String & | widgetName | ) | const |
Returns a pointer to an earlier created widget.
| widgetName | The name that was given to the widget when it was added to the container |
The gui will first search for widgets that are direct children of it, but when none of the child widgets match the given name, a recursive search will be performed.
|
inline |
Returns a pointer to an earlier created widget.
| widgetName | The name that was given to the widget when it was added to the container |
The gui will first search for widgets that are direct children of it, but when none of the child widgets match the given name, a recursive search will be performed.
| GuiContainer::Ptr tgui::Gui::getContainer | ( | ) | const |
Returns the internal container of the Gui.
This could be useful when having a function that should accept both the gui and e.g. a child window as parameter.
| std::shared_ptr<sf::Font> tgui::Gui::getFont | ( | ) | const |
Returns the global font.
| float tgui::Gui::getOpacity | ( | ) | const |
Returns the opacity of all the widgets.
| sf::RenderTarget* tgui::Gui::getTarget | ( | ) | const |
Returns the render target on which the gui is being drawn.
| const sf::View& tgui::Gui::getView | ( | ) | const |
Returns the view that is currently used by the gui.
| std::string tgui::Gui::getWidgetName | ( | const Widget::Ptr & | widget | ) | const |
Returns the name of a widget.
| widget | Widget of which the name should be retrieved |
| const std::vector<sf::String>& tgui::Gui::getWidgetNames | ( | ) | const |
Returns a list of the names of all the widgets.
| const std::vector<Widget::Ptr>& tgui::Gui::getWidgets | ( | ) | const |
Returns a list of all the widgets.
| bool tgui::Gui::handleEvent | ( | sf::Event | event | ) |
Passes the event to the widgets.
| event | The event that was polled from the gui |
You should call this function in your event loop.
| void tgui::Gui::loadWidgetsFromFile | ( | const std::string & | filename | ) |
Loads the child widgets from a text file.
| filename | Filename of the widget file |
| void tgui::Gui::loadWidgetsFromStream | ( | std::stringstream & | stream | ) |
Loads the child widgets from a string stream.
| stream | stringstream that contains the widget file |
| void tgui::Gui::loadWidgetsFromStream | ( | std::stringstream && | stream | ) |
Loads the child widgets from a string stream.
| stream | stringstream that contains the widget file |
| bool tgui::Gui::remove | ( | const Widget::Ptr & | widget | ) |
Removes a single widget that was added to the container.
| widget | Pointer to the widget to remove |
| void tgui::Gui::saveWidgetsToFile | ( | const std::string & | filename | ) |
Saves the child widgets to a text file.
| filename | Filename of the widget file |
| void tgui::Gui::saveWidgetsToStream | ( | std::stringstream & | stream | ) | const |
Saves this the child widgets to a text file.
| stream | stringstream to which the widget file will be added |
| void tgui::Gui::setOpacity | ( | float | opacity | ) |
Changes the opacity of all widgets.
| opacity | The opacity of the widgets. 0 means completely transparent, while 1 (default) means fully opaque |
| void tgui::Gui::setTarget | ( | sf::RenderTarget & | target | ) |
Sets the target on which the gui should be drawn.
| target | The render target (typically sf::RenderWindow) that will be used by the gui |
| void tgui::Gui::setView | ( | const sf::View & | view | ) |
Changes the view that is used by the gui.
| view | The new view |
| bool tgui::Gui::setWidgetName | ( | const Widget::Ptr & | widget, |
| const std::string & | name | ||
| ) |
Changes the name of a widget.
| widget | Widget of which the name should be changed |
| name | New name for the widget |


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Amount cannot be less than 1.
Amount cannot be greter than {{ vm.amount }}.
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Requirements: You’ll need to start an Ubuntu EC2 instance and have root access. The first part of this tutorial will be on your local computer and then we’ll move onto the EC2 instance. Also, this tutorial assumes that someone has talked to you about paths and you know how to change directories and execute a program on a file. If you get an error that a program or file does not exist, make sure you are in the right path.
First, let’s think about how these databases are structured. I am going to create a database for folks to deposit whole genome sequences. What kind of information am I going to store in this? Many of you may be familiar with such a database, hosted by the NCBI. The scripts that complement this tutorial can be downloaded with the following:
git clone https://github.com/adina/scripts-for-ngs.git
Let’s come up with a list of things we’d like stored in this database and discuss some of the challenges involved in database creation, management, and access.
So, you’ve been given a list of genomes and been asked to create a phylogenetic tree of these genomes. How big would this list be before you thought about hiring an undergraduate to download sequences?
Say the list is only 3 genomes:
CP000962
CP000967
CP000975
The following are some ways with which I’ve used to grab genome sequences:
Among these, I’m going to assume many of you are familiar with the first two. This tutorial then is going to go through an example of the first approach and then focus on using APIs.
Here’s some answers, among which my favorite is “an interface through which you access someone else’s code or through which someone else’s code accesses yours – in effect the public methods and properties.”
The NCBI has a whole toolkit which they call Entrez Programming Utilities or eutils for short. You can read all about it in the documentation. There are a lot of things you can do to interface with all things NCBI, including publications, etc., but I am going to focus today on downloading sequencing data.
To do this, you’re going to be using one tool in eutils, called efetch. There is a whole chapter devoted to efetch – when I first started doing this kind of work, this documentation always broke my heart. Its easier for me to just show you how to use it.
You can use the NCBI efetch utility on your web browser (as is true of many APIs). Open a web browser, and try the following URL to download the nucleotide genome for CB00962:
http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nuccore&id=CP000962&rettype=fasta&retmode=text
You’ll note that a file downloaded on your computer. Take a look at it. You’ll note that it looks a lot like what you would see if you had searched for CP00962 on the NCBI search page. Check it out here.
If I want to access other kinds of data associated with this genome. For example, if I want the Genbank file as an output rather than a FASTA file, I would try the following command:
http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nuccore&id=CP000962&rettype=gb&retmode=text
Do you notice the difference in these two commands? Let’s breakdown the command here:
Also, a useful command is also <version=1>. There are different versions of sequences and some times that is useful. For reproducibility, I try to specify versions in my queries, see these comments.
Note
Notice the “&” that comes between each of these little commands, it is necessary and important.
Ok, let’s think of automating this sort of query.
In the shell, you could run the same commands above with the addition of curl (a program to get information from remote sources) on your EC2 instance:
curl "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nuccore&id=CP000962&rettype=fasta&retmode=text"
You’ll see it fly on to your screen. Don’t panic - you can save it to a file with the redirect command “>” and make it more useful.:
curl "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nuccore&id=CP000962&rettype=fasta&retmode=text" > CP000962.fa
You’ve now saved a query you’ve sent to the NCBI API to a file. Now, you could now imagine writing a program where you made a list of IDs you want to download and put it in a for loop, curling each genome and saving it to a file. The following is a script. Thanks to Jordan Fish who gave me the original version of this script before I even knew how and made it easy to use.
This script has some nifty documentation that you can see by trying to execute the script. To see the documentation for this script:
python fetch-genomes.py
You’ll see that you need to provide a list of IDs and a directory where you want to save the downloaded files. What do you need to provide to this script? The first thing is a file that contains a list of IDs (note that this is a required format, each ID on a new line) to fetch the data from NCBI. Second, you need to name a directory where you want the program to put the files you fetch from the NCBI API. Note that the lazy programmer who wrote this script requires you to identify a directory that does not currently exist.
So to use this script, two things are needed. What are they?
To help out, I have provided a list of 50 IDs in a file called “interesting-genomes.txt.” How can you tell there are 50 genomes in this file? But I don’t want to just go wild and download all 50 at once.
Note
You may want to run this on just a few of these IDs to begin with. You can create a smaller list using the head command with the -n parameter in the shell. For example, head -n 3 interesting-genomes.txt > 3genomes.txt.
Let’s take a look inside this script. The meat of this script uses the following code:
url_template = "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nucleotide&id=%s&rettype=gb&retmode=text"
You’ll see that the id here is a string character which is obtained from list of IDs contained in a separate file. The rest of the script manages where the files are being placed and what they are named. It also prints some output to the screen so you know its running.
Try modifying the fetch_genomes.py script to download just the FASTA sequences of the genes.
Running this script should allow you to download genomes to your heart’s content. But how do you grab specific genes from this data then? Specifically, the challenge was to make a phylogenetic tree of sequences, so let’s target the conserved bacterial gene, 16S ribosomal RNA gene.
Genbank files have a special structure to them. You can look at it and figure it out for the most part, or read about it in detail here. To find out if your downloaded Genbank files contain 16S rRNA genes, I like to run the following command:
grep 16S *gbk
This should look somewhat familiar from your shell lesson, but basically we’re looking for anylines that contain the character “16S” in any Genbank file we’ve downloaded. Note that you’ll have to run this in the directory where you downloaded these files.
The structure of the Genbank file allows you to identify 16S genes. For example,
rRNA 9258..10759
/gene="rrs"
/locus_tag="CLK_3816"
/product="16S ribosomal RNA"
/db_xref="Pathema:CLK_3816"
You could write code to find text like ‘rRNA’ and ‘/product=”16S ribosomal RNA”’, grab the location of the gene, and then go to the FASTA file and grab these sequences. To make things easy, there are existing packages to parse Genbank files. I have the most experience with BioPython. To begin with, let’s just use BioPython to help us with our program.
First, we’ll have to install BioPython on your instance and they’ve made that pretty easy:
sudo apt-get update
sudo apt-get install python-biopython
Fan Yang (Iowa State University) and I wrote a script to extract 16S rRNA sequences from Genbank files, here. It basically searches for text strings in the Genbank structure that is appropriate for these particular genes. You can read more about BioPython here and its Genbank parser here. In this script, we are looking for an “rRNA” feature and looking for specific text in its “/product” line. If this is true, we go through the genome sequence and extract the coordinates of these genes, providing the specific gene sequence.
To run this script on the Genbank file for CP000962. Note make sure you are in the right directory for both the program and the files:
python parse-genbank.py genbank-files/CP000962.gbk > genbank-files/CP000962.gbk.16S.fa
The resulting output file contains all 16S rRNA genes from the given Genbank file.
To run this for multiple files, I use a shell for loop:
for x in genbank-files/*; do python parse-genbank.py $x > $x.16S.fa; done
There are multiple ways to get this done – but this is how I like to do it. Now, you can figure out how you like to do it.
And there you have it, you can now pretty much automatically grab 16S rRNA genes from any number of genomes in NCBI databases.
Find your favorite gene, download a database of it from NCBI, and find matching sequences from a sequencing dataset.


{% extends "base.html" %} {% block head %} {% endblock %} {% block content %}
I have written {{numReviews}} reviews.
Here are my latest reviews.
{{review.content}}
I set up this little website to track the books I've read, films I've seen, music I've listened to and so on. Uses Google App Engine and Bootstrap.
You can see the main website for me, James Porter, or my Android website, Amimetic Android Apps.
This project is available on Github. In just 200 or so lines of Python it has a review editing system, bulk data export, homepage, category views and secure accounts. Thanks to using App Engine it should be free or cheap to deploy (and even caches lots of stuff).
If you wanted to make a simple blog it would be trivial to adapt this. There is little guide on the Github repo page. It is available under the MIT license so you can pretty much do anything you like with it.


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Answers to questions that may be asked frequently in the future.
x=a++
?a++
is just syntatic sugar
for a+=1
.f(x)=value
possible?f_set(x,value)
.
I'm not so much interested in this, because it does not increase
the languages semantic expressiveness.[0.9,1.0,1.1].map(int)==[1,1,1]
?int(x)
is to obtain the integer
number which best corresponds to x
. If a floor
behavior is needed, simply write int(math.floor(x))
.
list(0..3:2)==[0,2]
but list(0..3:2.0)==[0.0,2.0,4.0]
?Integer range: size(a..b:step) == 1+(b-a)//step == 1+floor((b-a)/step) Float range: size(a..b:step) == 1+int((b-a)/step) == 1+round((b-a)/step)Now let us obtain the size of
1..2:0.2
.
That is 6
. But floor(x)
has discontinuities
at integer values x
. Thus the floor variant
would calculate 5
instead 6
if (b-a)/step==4.9999...998
, that means instable
behavior. The reason for round
instead of floor
is
to have a stable determination of
size(1..2:0.2)
and
size(1..10:0.1)
and so on.
Now, conversely, size(0..3:2.0)
is unstable.
But that is not a mistake. One could use a more
complicated algorithm for size(a..b:step)
,
but no one would understand its precise
behavior. Elegance suffers from intricacy.
a = list(1..10,|x| x^2 if x%2==0)Some operator may be overloaded:
iterable.MOD = |a;f| list(a,f) a = (1..10) % |x| x^2 if x%2==0It is a shorter way to express this:
a = list(1..10).filter(|x| x%2==0).map(|x| x^2)Under the hood, usage of iterators is feasible. So comprehension functionality can be transferred to iterators, sets and dictionarys as well. Moreover, the consumer could be a coroutine, enabling asynchronous execution.
chain
:
a = list(1..20,|x| list(x..20,|y| list(y..20,|z| [x,y,z] if x^2+y^2==z^2 )).chain()).chain() # [[3, 4, 5], [5, 12, 13], [6, 8, 10], # [8, 15, 17], [9, 12, 15], [12, 16, 20]]Native support may be likeable:
a = [[x,y,z] for x in 1..20 for y in x..20 for z in y..20 if x^2+y^2==z^2]In addition, one could have
all(p(x) for x in a)instead of
a.all(|x| p(x))and
sum(f(k) for k in m..n)instead of
(m..n).sum(|k| f(k))Also a very clear notation, but it conflicts with the method chaining notation (by analogy with Unix pipelines):
a = L().some_stuff().filter(p).map(f).sort()vs.
a = [f(x) for x in L().some_stuff() if p(x)].sort()


This douument is:
Copyright © 2006 Printing Communications Assoc., Inc.
(PCAUSA). All rights reserved.
ProtInstall is a Win32 console application that is designed specifically to install and uninstall the WDK NDISPROT NDIS protocol driver. It is loosely based on the SNetCfg application from the Windows 2000 DDK.
The application is designed to be called from a Windows Command Prompt window or from a Windows Installer.
The application is built using Microsoft Visual Studio 2003.
Building the application does depend on additional header files from the DDK. You will have to adjust the project's "Additional Include Directories" property to point to your DDK install folders:
All Configurations
C/C++
General
Additional
Include Directories
Here are the additional include directories used at the time of this writing:
..\..\Include;C:\WINDDK\3790~1.183\inc\wxp;C:\WINDDK\3790.1830\inc\crt
Strings defined in the ProtInstall.H header file are used to select the driver's INF files, PnP IDs and Friendly Name. So, once built the application can only be used to install the WDK NDISPROT driver. However, since source code to ProtInstall is available you may make modifications to suit your own needs.
As written ProtInstall must be run from a folder that also contains the NDISPROT driver package, which includes the driver executable, INF and CAT files.
To install NDISPROT the install folder would contain these items:
To install the driver run the ProtInstall application with the /Install command-line switch:
ProtInstall /Install
To uninstall the driver run the ProtInstall application with the /Uninstall command-line switch:
ProtInstall /Uninstall
In some cases it may be desirable to hide the ProtInstall command window from view. This may be particularly desirable when using ProtInstall in conjunction with a Windows Installer. To hide the ProtInstall window append the /Hide command-line switch after the /Install or /Uninstall switch.
Here is an example command-line that hides the ProtInstall window during installation:
ProtInstall /Install /hide
Use the Windows Installer Custom Actions feature to call ProtInstall.EXE.
For example, to call ProtInstall to install the driver, add a new "Install Driver" action to the pre-defined Install action. The Install Driver Arguments property would be /Install and the SourcePath property would be the path to the ProtInstall.exe file on the development computer.
To call ProtInstall to uninstall the driver, add a new "Uninstall Driver" action to the pre-defined Uninstall action. The Uninstall Driver Arguments property would be /Uninstall and the SourcePath property would be the path to the ProtInstall.exe file on the development computer.
This software IS free software under the terms of a BSD-style license. The right to use this code in your own derivative works is granted so long as
This product includes software developed by PCAUSA. The name of PCAUSA may not be used to endorse or promote products derived from this software without specific prior written permission.


lclpy.localsearch.tabusearch package¶
Submodules¶
lclpy.localsearch.tabusearch.abstract_diff_state module¶
-
class
lclpy.localsearch.tabusearch.abstract_diff_state.
AbstractDiffState
¶ Bases:
abc.ABC
A template class to implement a diff_state_func for tabu search.
Implementations of this class are meant to be used in a tabu search algorithm. Implementations are supposed to implement the diff function. A specific implementation might be needed for different move types.
-
abstract
diff
(move)¶ Indicates how the move would alter the state if it was performed.
- Parameters
move (tuple of int) – A representation of a move.
- Returns
An indication of how the move alters the state.
- Return type
int
-
abstract
lclpy.localsearch.tabusearch.sum_diff_state module¶
-
class
lclpy.localsearch.tabusearch.sum_diff_state.
SumDiffState
¶ Bases:
lclpy.localsearch.tabusearch.abstract_diff_state.AbstractDiffState
A class that implement a diff_state_func for tabu search.
Examples
A simple example:
-
diff
(move)¶ Indicates how the move would alter the state if it was performed.
- Parameters
move (tuple of int) – A tuple of 2 ints.
- Returns
The sum of the values of the tuple.
- Return type
int
-
lclpy.localsearch.tabusearch.tabu_list module¶
-
class
lclpy.localsearch.tabusearch.tabu_list.
TabuList
(length)¶ Bases:
object
Implements a tabu list for use with TabuSearch.
When using big items, it would be wise to save space by hashing them.
- Parameters
length (int) – The maximal amount of items in the tabu list.
-
_list
¶ A list that contains hashes of all the items that are considered part of the tabu list.
- Type
deque
Examples
A simple example, the lists are converted to tuples, because they’re mutable objects and thus can’t be hashed with the default implementation of hash:
-
add
(item)¶ Adds an item to the tabu list.
- Parameters
item – A hashable, immutable object.
-
contains
(item)¶ A method that checks if an item is in the tabu list.
- Parameters
item – A hashable, immutable object.
- Returns
Will return true if the item is in the tabu list, false if it isn’t in the tabu list.
- Return type
bool
lclpy.localsearch.tabusearch.tabu_search module¶
-
class
lclpy.localsearch.tabusearch.tabu_search.
TabuSearch
(problem, termination_criterion, diff_state_func, list_size=7, minimise=True, benchmarking=False, logging=True)¶ Bases:
lclpy.localsearch.abstract_local_search.AbstractLocalSearch
Performs a tabu search on the given problem.
- Parameters
problem (AbstractLocalSearchProblem) – Contains all the data needed for the specific problem.
termination_criterion (AbstractTerminationCriterion) – Implements a termination criterion to terminate the algorithm.
diff_state_func (AbstractDiffState) – A class that implement a diff_state_func for tabu search.
list_size (int, optional) – The size of the tabu list. The default is 7.
minimise (bool, optional) – Will minimise if this parameter is True, maximise if it is False. The default is True.
benchmarking (bool, optional) – Should be True if one wishes benchmarks to be kept, should be False if one wishes no benchmarks to be made. Default is False.
logging (bool, optional) – Improvements will be logged to the command line if this variable is True. Default is True.
-
_problem
¶ Contains all the data needed for the specific problem.
-
_termination_criterion
¶ Implements a termination criterion to terminate the algorithm.
-
_diff
¶ A method of a AbstractDiffState class to indicate how a move alters the state
- Type
method
-
_list_size
¶ Size of the tabu list.
- Type
int
-
_is_better
¶ Function used to determine if a certain value is an improvement.
-
_minimise
¶ Variable that indicates if the function is maximising or minimising.
- Type
bool
-
_best_found_delta_base_value
¶ Initialisation value for the delta value of each iteration. It’s infinite when minimising or minus infinite when maximising.
- Type
float
-
data
¶ Data useable for benchmarking. Will be None if no benchmarks are made.
- Type
list of tuple
-
_data_append
¶ Function to append new data-points to data. Will do nothing if no benchmarks are made.
-
_log_improvement
¶ Function to write logs to the command line. Will do nothing if no logs are made.
Examples
An example of minimising:
An example of maximising, note that the distance matrix is different:
-
reset
()¶ Resets the object back to it’s state after init.
- Raises
NotImplementedError – If the problem or termination criterion have no reset method implemented.
Examples
An example of minimising, reset after run:
-
run
()¶ Starts running the tabu search.
- Returns
best_order (numpy.ndarray) – The best found order.
best_value (int or float) – The evaluation value of the best found order.
data (None or collections.namedtuple) – Data useable for benchmarking. If no benchmarks were made, it will be None. The namedtuple contains the following data in numpy.ndarrays: time, iteration, value, best_value
Module contents¶
This package contains all classes unique to tabu search.


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Some text in a
h1
Some text in a
h1
in a
section
Another
h1
in a
section
A
h1
in a
section
in a
section
A
h2
that is a child of
body


{% extends "base.html" %} {% block title %}File is too large! | {% endblock %} {% block body %}
The file that you just tried to upload is too large. Please upload a smaller file, or contact<EMAIL_ADDRESS>for more assistance.


SUMMERIZE THE SOLUTION IN THE INPUT BOX BELOW.


WITNESS LIST Natural Resources Committee (Subcommittee on Subcommittee on Dam Safety) February 20, 1998-10:30A Dam Safety On: Brite, Rooter (TX State SWCB) Buckley, Bob (TX State SWCB) Goertz, Larry A. (NRCS) Pearson, Dan (TNRCC) Pedersen, Craig D. (TWDB) Rose, Mark (LCRA)


You can contribute to this community building initiative by becoming a member. Join us in helping those who do not have a voice. We are looking for social workers, teachers and anyone else who can help mothers of children with GDD. Let us make a difference, come become a member!


Hello I am Amit Kumar Mitra. I am pursing B.Tech at Academy of Technology. Currenty I am in my last semester and now I am doing both internship and my college and Currently now I am an intern at Persistent Systems Limited. Besides all this I also love to play football and watching movies,listening music and also many more things.
Current pursuing B.Tech at Academy of Technology (2016 - 2020)
Know MoreAlso I have done my 10th from Krishnagar High School with 87.8% and did my 12th from Krishnagar Collegiate School with 82.7% and currently upto 7th sem my CGPA is 8.98
Intern at Persistent Systems Limited (january 2020 - present)
Know MoreCurrent I am an in Persistent Systems Limited. Also I try to learn everyday something new. Though now I am an Intern. But I learned some skills there.
<EMAIL_ADDRESS>This is my contact info


The language engines are rendering-system independent
engines that determine line, word, and character breaks for character strings.
These engines are used in pango_break()
.
#define PANGO_ENGINE_LANG_DEFINE_TYPE(name, prefix, class_init, instance_init)
PANGO_ENGINE_LANG_DEFINE_TYPE
has been deprecated since version 1.38 and should not be used in newly-written code.
Outputs the necessary code for GObject type registration for a PangoEngineLang class defined in a module. Two static symbols are defined.
static GTypeprefix
_type; static voidprefix
_register_type (GTypeModule module);
The
function should be called in your prefix
_register_type()
script_engine_init()
function for
each type that your module implements, and then your script_engine_create()
function can create instances of the object as follows:
1 |
PangoEngine *engine = g_object_new (prefix_type, NULL); |
name |
Name of the the type to register (for example:, |
|
prefix |
Prefix for symbols that will be defined (for example:, |
|
class_init |
Class initialization function for the new type, or |
[nullable] |
instance_init |
Instance initialization function for the new type, or |
[nullable] |
typedef struct _PangoEngineLang PangoEngineLang;
PangoEngineLang
has been deprecated since version 1.38 and should not be used in newly-written code.
The PangoEngineLang class is implemented by engines that customize the rendering-system independent part of the Pango pipeline for a particular script or language. For instance, a custom PangoEngineLang could be provided for Thai to implement the dictionary-based word boundary lookups needed for that language.
struct PangoEngineLangClass { void (*script_break) (PangoEngineLang *engine, const char *text, int len, PangoAnalysis *analysis, PangoLogAttr *attrs, int attrs_len); };
PangoEngineLangClass
has been deprecated since version 1.38 and should not be used in newly-written code.
Class structure for PangoEngineLang
Provides a custom implementation of
|
[nullable] |
#define PANGO_ENGINE_TYPE_LANG "PangoEngineLang"
PANGO_ENGINE_TYPE_LANG
has been deprecated since version 1.38 and should not be used in newly-written code.
A string constant defining the engine type for language engines. These engines derive from PangoEngineLang.


{% extends "base.html" %} {% load url from future %} {% block title %} Weekly FMC {% endblock %} {% block content %} {% if latest_scrambles %} {% for scramble in latest_scrambles %} {% if forloop.first %}
The Weekly FMC was made for the SpeedSolving.com web forums so that fewest moves enthusiasts can regularly compete with others and share solutions to the same scramble in order to learn from each other. Click the scramble to submit a solution!
Although it is not required to submit a solution, creating an account will let the Weekly FMC record your results into a profile and provide you with statistics. The leaders board lists all time shortest solutions along with the users with the lowest average move count and highest total score.
So what are you waiting for? Submit a solution to this week's scramble.
The SpeedSolving Wiki has a good description and collection of links about FMC. I recommend checking out Sebastiano Tronto's extremely comprehensive FMC Tutorial and this post by Arnaud van Galen. Finally, the FMC thread is the best place to go to share FMC attempts and get advice on techniques. Just make sure to search for an answer to your question before posting because it probably has been answered before.
No scrambles have been posted.
{% endif %} {% endblock %}


Before Change
number_pixels_maximal = np.sum(pixel_data == np.max(pixel_data))
percent_saturation = (100.0 * float(number_pixels_saturated) /
float(pixel_count))
percent_maximal = (100.0 * float(number_pixels_maximal) /
float(pixel_count))
percent_saturation_name = "%s_%s_%s"%(IMAGE_QUALITY, PERCENT_SATURATION,
image_name)
percent_maximal_name = "%s_%s_%s"%(IMAGE_QUALITY, PERCENT_MAXIMAL,
image_name)
workspace.add_measurement(cpmeas.IMAGE, percent_saturation_name,
percent_saturation)
workspace.add_measurement(cpmeas.IMAGE, percent_maximal_name,
percent_maximal)
return [["%s saturation"%image_name,"%.1f %%"%percent_saturation],
["%s maximal"%image_name, "%.1f %%"%percent_maximal]]
def calculate_threshold(self, image_group, workspace):
After Change
else:
number_pixels_maximal = np.sum(pixel_data == np.max(pixel_data))
number_pixels_minimal = np.sum(pixel_data == np.min(pixel_data))
percent_maximal = (100.0 * float(number_pixels_maximal) /
float(pixel_count))
percent_minimal = (100.0 * float(number_pixels_minimal) /
float(pixel_count))
percent_maximal_name = "%s_%s_%s"%(IMAGE_QUALITY, PERCENT_MAXIMAL,
image_name)
percent_minimal_name = "%s_%s_%s"%(IMAGE_QUALITY, PERCENT_MINIMAL,
image_name)
workspace.add_measurement(cpmeas.IMAGE, percent_maximal_name,
percent_maximal)
workspace.add_measurement(cpmeas.IMAGE, percent_minimal_name,
percent_minimal)
return [["%s maximal"%image_name,"%.1f %%"%percent_maximal],
["%s minimal"%image_name, "%.1f %%"%percent_minimal]]


Name:
Vũ Bùi Khánh Linh
Student ID: s3864120
Course: IIT COSC 2083 Fall 2020
Background: Coding enthusiast,
amateur mathematician.
Linh wants to find people with similar inclination
towards programming languages as well as logics and algorithms. That is why she
enrolled in RMIT IT bachelor program.
Instead of taking the O.C.E.A.N test, Linh decided to test her creativity. On the right is her result. She has a penchant for complexity and details.
Linh, like the rest of the team, enjoy a good video as the best medium for learning!
There are major differences in Linh’s results from mine and Thảo, which is a good thing since subtle different mindsets and personalities can be assets to each other and complements each other’s weaknesses. For example, Linh is an extravert, unlike Thao and me, which can benefit if we let Linh handle social interactions or networking projects. Another notable point is that Linh is quite creative and has a penchant for complexity. This trait can come in handy when she codes and work in technical fields of our group projects.
created with
WYSIWYG HTML Editor .


[gecode-users] Updated Windows packages for 4.4.0
Christian Schulte
cschulte at kth.se
Tue Apr 14 15:26:11 CEST 2015
Dear all,
I just uploaded new Windows packages for Gecode 4.4.0 that fix problems with
using Gist (fixing the error message "This application failed to start
because it could not find or load the Qt platform plugin "windows"").
Sorry for the inconvenience!
Christian
--
Christian Schulte, www.gecode.org/~schulte
Professor of Computer Science, KTH, cschulte at kth.se
Expert Researcher, SICS, cschulte at sics.se
More information about the users
mailing list


Differentially regulated BALF proteins in the LXR/RXR activation and production of NO and ROS in macrophages pathways by I.T. and I.P. LPS compared to the controls.
BALF, bronchoalveolar lavage fluid; LXR/RXR, liver X receptor/retinoid X receptor; NO, nitric oxide; ROS, reactive oxygen species; red, up-regulated; blue, down-regulated.


This is the lyrics of Rahu Stotra or Stotram in English and Devanagari script. You will also find the meaning of Rahu Stotra or Stotram in English. The Rahu Stotra or Stotram is read to please Lord Rahu.
Asya Shri Rahu Stotrasya Vamdev Rishi-hi. Gayatri Chand-ha.
Rahurdevata.
Rahu Prityartham Jape Viniyog-ha.
Rahur Dhanavamantri Cha Simhika Chitha Nandana,
Ardhakaya-ha Sada Krodhi Chandradithya Vimardhan-ha. ॥ 1 ॥
Roudro Rudra Priyo Daitya-ha Swar Bhanurbhanu Mitida-ha,
Graha Raja Sudhapayi Rakatithya Bhilashuka-ha. ॥ 2 ॥
Kala Drushti Kala Roopa Sri Kanta Hridayashraya,
Vidhunthudha Saimhikeyo Ghora Roopo Mahabala-ha. ॥ 3 ॥
Graha Pida Karo Damshtri Raktha Nethro Mahodhara,
Panchavimsathi Namani Sthuthwa Rahum Sada Nara. ॥ 4 ॥
Ya Paden Mahathi Pida Thasya Nasyathi Kevalam,
Aarogyam Putham Athulam Sriyam Dhanyam Pasum Sthadha. ॥ 5 ॥
Dadhathi Rahu Sthasmai Thu Ya Padeth Stotra Muthamam,
Sathatham Padathe Yasthu Jeeveth Varsha Satham Nara. ॥ 6 ॥
Iti Shri Skand Purane Rahu Stotram Sampoornam.
अस्य श्रीराहुस्तोत्रस्य वामदेव ऋषिः । गायत्री छन्दः । राहुर्देवता ।
राहुप्रीत्यर्थं जपे विनियोगः ॥
राहुर्दानव मन्त्री च सिंहिकाचित्तनन्दनः ।
अर्धकायः सदाक्रोधी चन्द्रादित्यविमर्दनः ॥ 1 ॥
रौद्रो रुद्रप्रियो दैत्यः स्वर्भानुर्भानुमीतिदः ।
ग्रहराजः सुधापायी राकातिथ्यभिलाषुकः ॥ 2 ॥
कालदृष्टिः कालरुपः श्रीकष्ठह्रदयाश्रयः ।
विधुंतुदः सैंहिकेयो घोररुपो महाबलः ॥ 3 ॥
ग्रहपीडाकरो द्रंष्टी रक्तनेत्रो महोदरः ।
पञ्चविंशति नामानि स्मृत्वा राहुं सदा नरः ॥ 4 ॥
यः पठेन्महती पीडा तस्य नश्यति केवलम् ।
विरोग्यं पुत्रमतुलां श्रियं धान्यं पशूंस्तथा ॥ 5 ॥
ददाति राहुस्तस्मै यः पठते स्तोत्रमुत्तमम् ।
सततं पठते यस्तु जीवेद्वर्षशतं नरः ॥ 6 ॥
इति श्रीस्कन्दपुराणे राहुस्तोत्रं संपूर्णम् ॥
Asya Shri Rahu Stotrasya Vamdev Rishi-hi. Gayatri Chand-ha.
Rahurdevata.
Rahu Prityartham Jape Viniyog-ha.
This is the beginning of the Lord Rahu Stotra. This is an appropriate
form to express your admiration to Lord Rahu.
Rahur Dhanavamantri Cha Simhika Chitha Nandana,
Ardhakaya-ha Sada Krodhi Chandradithya Vimardhan-ha. ॥ 1 ॥
Rahu, minister of rakshasa, one who makes Simhika happy. One who is
half bodied and who is always angry, and who is tormentor who troubles
Sun and Moon.
Roudro Rudra Priyo Daitya-ha Swar Bhanurbhanu Mitida-ha,
Graha Raja Sudhapayi Rakatithya Bhilashuka-ha. ॥ 2 ॥
Angry one, devotee of Rudhra and one who is near the Sun and one who
terrifies the sun. One who is king of planets, one who got nectar, and
one who desires the moon and the sun.
Kala Drushti Kala Roopa Sri Kanta Hridayashraya,
Vidhunthudha Saimhikeyo Ghora Roopo Mahabala-ha. ॥ 3 ॥
One who has death inflicting sight and one who likes death. One who
lives in the heart of Shiva and one who made moon dim or lose its
shine. One who is the son of Simhika and one who has terrifying form
and is also very strong.
Graha Pida Karo Damshtri Raktha Nethro Mahodhara,
Panchavimsathi Namani Sthuthwa Rahum Sada Nara. ॥ 4 ॥
One who torments planets, one who has big teeth and one who has red
eyes and one who has a big paunch. One should recite this twenty five
names and pray to Rahu.
Ya Paden Mahathi Pida Thasya Nasyathi Kevalam,
Aarogyam Putham Athulam Sriyam Dhanyam Pasum Sthadha. ॥ 5 ॥
If a man recites these twenty five names and prays to Rahu, his big
tormenting troubles vanish immediately, and he gets health,
incomparable sons, wealth and cereals and animals.
Dadhathi Rahu Sthasmai Thu Ya Padeth Stotra Muthamam,
Sathatham Padathe Yasthu Jeeveth Varsha Satham Nara. ॥ 6 ॥
That person, who reads this, would also be given other things by Lord
Rahu. The man who reads this regularly would live for one hundred
years.
Iti Shri Skand Purane Rahu Stotram Sampoornam.
This completes the Lord Rahu's Stotram.
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Utilizing Chatops for VMWare Support Cases
How Encore is Utilizing Chatops for VMWare Support Cases
In this post we will be explaining how we have created a chatops workflow that enables us to upload VMWare ESXi log bundles directly to a VMWare support case from our chat client of choice. The code that makes all of this work is at the bottom of this article.
Chatops Introduction
For the those who have never heard of chatops before; To me, it means the ability to call automation workflows from your favorite chat client. This means our automation team can code up a workflow and then connect it to a dedicated channel in slack where other engineers / admins can call these commands and pass parameters to them.
There are a few things I find very cool about Chatops: - It allows administrators who don’t understand code to leverage automation others have written - It enables us to do certain tasks from wherever we might be, on whatever device we have available. Ever wish you could upload VMWare logs from your cell phone after getting that email from support when you are out of the office? - It can be a huge time saver! No need to get on your laptop so you can 2FA into an environment. You’d spend 10 minutes logging in to do a 5 minute job.
Background
Anyone who has ran a VMWare environment for some time knows that the first thing VMWare support will ask when you open a case is to upload a log bundle to them. Depending on the nature of the case you might need to extract log bundles from ALL of the hosts, in other cases you might need to extract a log bundle from the same host multiple times after a specific event has occurred.
To collect a log bundle usually means: - Hopping into the jumpbox for the specific environment - Logging into the host(s) via SSH or logging into the vCenter console to generate the bundle - Uploading that bundle from your download location up to VMWare support.
Not too challenging but definitely time consuming - and definitely something we can help automate!
Overview of Chatops Action
From a chatops perspective this is what the action looks like:
Example of a run where I collect a log bundle from my-VMWare-host.fqdn.tld and upload it to case #12345678901:
You might find it interesting that Dot Matrix (StackStorm) immediately queued my action when I called it, and it took about ~6 minutes for it to complete. You can see the timestamp of 05-06-2020@15:20
in the log bundle name, the time at which it was initiated (3:20PM). StackStorm took less than a minute to get from slack to the VMWare host!
Chatops Tool Stack
To create this chatops action we are using a combination of tools, nearly the entire list is open source software and can be downloaded for free:
- StackStorm - https://stackstorm.com/
- Interpreting chatops commands entered in slack
- Posting the results of the workflow to the caller via slack
- Executing Bolt task
- Populates environment variables for use in Bolt task
- Puppet Bolt - https://puppet.com/docs/bolt/latest/bolt.html
- Running the actual code that connects to the VMWare host, generates the bundle, uploads bundle to VMWare support
- Slack - https://slack.com/
- Slack is our chat platform of choice. It has very nice integration available for Chatops.
Deep Dive
If you’re still reading by now I assume you are ready to see some code on how we put this together! To make things easier for you the general idea is: shell script -> bolt task -> StackStorm action -> StackStorm workflow -> StackStorm alias
The steps involved in this shell script are:
- Generate and download a log bundle via API call at
https://ESXHostnameOrIPAddress/cgi-bin/vm-support.cgi
Explained here: https://kb.VMWare.com/s/article/1010705 - Initiate an SFTP connection to VMWare support
- Create a directory that matches our support case number.
- Unfortunately VMWare does not give us
ls
command access on the SFTP server so we can’t check if this exists already, thankfully it’s not show stopping if it does already exist.
- Unfortunately VMWare does not give us
- Upload our log bundle to said directory
- Clean up temporary bundle download location
Bolt task code
vmware_generate_and_upload_log_bundle.sh:
This is the shell script that does the majority of the work:
Note: All variables starting with $PT_
are supplied via bolt.
#!/bin/bash
# Download log bundle from esx host API to the download directory and then upload it to
# VMWare support's SFTP site.
# Determine if a download directory was specified via bolt. Download directory is
# the location the log bundle is downloaded to on the system that runs this script.
if [ -z ${PT_download_directory+x} ]
then
download_directory=/tmp/
else
download_directory="$PT_download_directory"
fi
# EX: DD-MM-YYYY@HH:MM
curr_datetime=$(date +"%d-%m-%Y@%H:%M")
# EX: my-vmware-host.fqdn.tld_DD-MM-YY@HH:MM.zip
filename="${PT_esx_host}_${curr_datetime}.tgz"
# EX: /tmp/my-vmware-host.fqdn.tld_DD-MM-YY@HH:MM.zip
filename_with_path="${download_directory}${filename}"
# Checking HTTP status of the host before we attempt to collect logs.
# We cannot curl vmhost/cgi-bin/vm-support.cgi or it will trigger a log collection and our actual log collection
# curl we have after this check will fail - you will get a 409 return code.
http_code=$(curl --insecure -u $PT_esx_username:$PT_esx_password -s -o /dev/null -I -w "%{http_code}" https://$PT_esx_host)
if [ "$http_code" == '200' ]
then
# Download log bundle from esx host API to the download directory
# EX: curl -s --insecure -u username:password https://vmhost.fqdn.tld/cgi-bin/vm-support.cgi -o /tmp/vmhost.fqdn.tld_DD-MM-YYYY@HH:MM.gzip
curl -sS --insecure -u $PT_esx_username:$PT_esx_password https://$PT_esx_host/cgi-bin/vm-support.cgi -o $filename_with_path
else
echo "ERROR: Got http status of ${http_code} from https://${PT_esx_host}/cgi-bin/vm-support.cgi - Bailing!"
exit 1
fi
# The hostname of the system where the download will be stored
hostname=$(hostname)
# Verify we can locate the specified log file (sanity checking vmware)
if [ ! -f "$filename_with_path" ]
then
echo "ERROR: Unable to locate file ${filename_with_path} on ${hostname} - Bailing!"
exit 1
fi
# Checking vmware site
http_code=$(curl -s -o /dev/null -I -w "%{http_code}" ${PT_sftp_site})
# Verify the sftp site is up
if [ "$http_code" != '200' ]
then
echo "ERROR: Got http status of ${http_code} from ${PT_sftp_site} - Bailing!"
exit 1
fi
# All of the commands following <<EOF below will be executed within the sftp session.
# The put command within is where the log bundle gets uploaded to VMware's SFTP site.
# Note: the mkdir command might create an error if the directory already exists, but we cannot validate
# that it exists as we do not have access to the 'ls' command on the sftp server.
# Establish sftp connection and execute payload
sshpass -p $PT_sftp_password sftp -o 'StrictHostKeyChecking no'<EMAIL_ADDRESS><<EOF
mkdir $PT_vmware_sr_number
cd $PT_vmware_sr_number
put $filename_with_path
exit
EOF
echo "${filename} successfully uploaded to VMware SR: ${PT_vmware_sr_number}."
# Clean up the extracted log bundle from the node
rm $filename_with_path
and the other piece of the bolt task:
vmware_generate_and_upload_log_bundle.json
{
"description": "Generates a log bundle on an esxi host",
"implementations": [
{"name": "vmware_generate_and_upload_log_bundle.sh", "requirements": ["shell"]}
],
"parameters": {
"esx_username": {
"description": "Username to login to the esx host. Generally root.",
"type": "String[1]"
},
"esx_password": {
"description": "Password to login to the esx host. Generally root password.",
"type": "String[1]",
"sensitive": true
},
"esx_host": {
"description": "Esx host to collect log bundle from.",
"type": "String[1]"
},
"download_directory": {
"description": "Location in which the .zip is downloaded to from the esx host. Default /tmp/",
"type": "Optional[String]"
},
"sftp_site": {
"description": "URL to the SFTP site.",
"type": "String[1]"
},
"sftp_username": {
"description": "Username to login to the SFTP site.",
"type": "String[1]"
},
"sftp_password": {
"description": "Password to login to the SFTP site.",
"type": "String[1]",
"sensitive": true
},
"vmware_sr_number": {
"description": "Must be 11 digit VMware SR #. Directory on the SFTP server the log will upload to.",
"type": "String[1]"
}
}
}
StackStorm Code
Now that we have a functional Bolt task to do want we want, we can simply roll it into a StackStorm workflow that can be called via slack.
This StackStorm action calls the bolt task above: vmware_host_collect_and_upload_log_bundle.yaml
---
description: "Gather log bundle from specified ESX host and upload that log bundle to a VMware SR #"
enabled: true
runner_type: orquesta
entry_point: workflows/vmware_host_collect_and_upload_log_bundle.yaml
name: vmware_host_collect_and_upload_log_bundle
pack: vmware
parameters:
vmware_sr_number:
type: string
description: "11 digit VMware SR number"
required: true
esx_host:
type: string
description: "FQDN or IP of ESX host to collect logs from"
required: true
download_server:
type: string
description: "FQDN or IP of Linux system to temporarily place logs for upload to support"
default: "{{ st2kv.system.stackstorm.server }}"
This StackStorm workflow calls the StackStorm action above: vmware_host_collect_and_upload_log_bundle.yaml
One of the key things here is that environment variables are being populated for the usernames and passwords being used. This means that they are NOT visible on the system running this code.
---
version: 1.0
description: Workflow to collect and upload a log bundle from a specified ESX host
input:
- vmware_sr_number
- esx_host
- download_server
vars:
- action_error: ''
- action_result: ''
output:
- action_error: "{{ ctx().action_error }}"
- action_result: "{{ ctx().action_result }}"
tasks:
plan_run:
action: vmware.bolt_plan
input:
server_fqdn: "{{ ctx().download_server }} "
os_type: "linux"
plan: "vmware_generate_and_upload_log_bundle"
params:
esx_host: "{{ ctx().esx_host }}"
vmware_sr_number: "{{ ctx().vmware_sr_number }}"
st2kv_vars:
esx_username: "system.vmware.vmhost.username"
esx_password: "system.vmware.vmhost.password"
sftp_site: "system.vmware.sftp.site"
sftp_username: "system.vmware.sftp.username"
sftp_password: "system.vmware.sftp.password"
bolt_retry_count: "1"
next:
- when: "{{ succeeded() }}"
publish:
- action_result: "{{ result().output.run[0].result.value }}"
do:
- noop
- when: "{{ failed() }}"
publish:
- action_error: "{{ result().errors[0].result }}"
do:
- fail
The StackStorm alias is how you configure what occurs in slack in regards to the StackStorm workflow above. vmware_host_collect_and_upload_log_bundle.yaml:
---
name: vmware_host_collect_and_upload_log_bundle
pack: vmware
description: Uploads specified VMware host log bundle to (11 digit) VMware ticket number.
action_ref: vmware.vmware_host_collect_and_upload_log_bundle
formats:
- "vmware host log upload {{ esx_host }} {{ vmware_sr_number }}"
result:
format: |
status: {{ execution.status }}
output:
-------------------------------
{% if execution.status == 'succeeded' %}
{{ execution.result.output.action_result['_output'] }}
{% elif execution.status == 'failed' %}
{{ execution.result.output.action_error }}
{% endif %}
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Reference PRCT10
Installation
Add this line to your application's Gemfile:
gem 'references'
And then execute:
$ bundle
Or install it yourself as:
$ gem install references
Development
After checking out the repo, run bin/setup
to install
dependencies. Then, run rake spec
to run the tests. You can
also run bin/console
for an interactive prompt that will allow
you to experiment.
To install this gem onto your local machine, run bundle exec rake
install
. To release a new version, update the version number in
version.rb
, and then run bundle exec rake
release
, which will create a git tag for the version, push git
commits and tags, and push the .gem
file to rubygems.org.
Contributing
Bug reports and pull requests are welcome on GitHub at github.com/alu01000844474/bibliografia. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
License
The gem is available as open source under the terms of the MIT License.


I've always found software engineering to be a compelling field: it provides the opportunity to creatively problem-solve and create tangible solutions and systems. Following my time with the military, I pursued an education in programming and found the process challenging and rewarding. The technical skills I learned will continue to serve as the foundation for my practice. Also, (maybe even more) importantly, my time learning these skills helped reinforce my belief that an openness to experience and willingness to engage with new material are fundamental to success. This belief will continue to push me as a programmer and engineer in the future as I learn advanced skills, work with new teams, and take on ever greater projects.
Bootstrap
CSS
Express
Git
HTML5
JavaScript
jQuery
nodejs
postgresql
React
Ruby
Ruby on Rails


See: Description
| Package | Description |
|---|---|
| quarks.execution |
Execution of Quarks topologies and graphs.
|
| quarks.execution.mbeans |
Management MBeans for execution.
|
| quarks.execution.services |
Execution services.
|
| quarks.function |
Functional interfaces for lambda expressions.
|
| quarks.topology |
Functional api to build a streaming topology.
|
| quarks.topology.json |
Utilities for use of JSON in a streaming topology.
|
| quarks.topology.plumbing |
Plumbing for a streaming topology.
|
| quarks.topology.tester |
Testing for a streaming topology.
|
| Package | Description |
|---|---|
| quarks.providers.development |
Execution of a streaming topology in a development environment .
|
| quarks.providers.direct |
Direct execution of a streaming topology.
|
| Package | Description |
|---|---|
| quarks.connectors.file |
File stream connector.
|
| quarks.connectors.http |
HTTP stream connector.
|
| quarks.connectors.iot |
Quarks device connector API to a message hub.
|
| quarks.connectors.iotf |
IBM Watson IoT Platform stream connector.
|
| quarks.connectors.jdbc |
JDBC based database stream connector.
|
| quarks.connectors.kafka |
Apache Kafka enterprise messing hub stream connector.
|
| quarks.connectors.mqtt |
MQTT (lightweight messaging protocol for small sensors and mobile devices) stream connector.
|
| quarks.connectors.mqtt.iot |
An MQTT based IotDevice connector.
|
| quarks.connectors.pubsub |
Publish subscribe model between jobs.
|
| quarks.connectors.pubsub.oplets |
Oplets supporting publish subscribe service.
|
| quarks.connectors.pubsub.service |
Publish subscribe service.
|
| quarks.connectors.serial |
Serial port connector API.
|
| quarks.connectors.wsclient |
WebSocket Client Connector API for sending and receiving messages to a WebSocket Server.
|
| quarks.connectors.wsclient.javax.websocket |
WebSocket Client Connector for sending and receiving messages to a WebSocket Server.
|
| quarks.connectors.wsclient.javax.websocket.runtime |
| Package | Description |
|---|---|
| quarks.samples.apps |
Support for some more complex Quarks application samples.
|
| quarks.samples.apps.mqtt |
Base support for Quarks MQTT based application samples.
|
| quarks.samples.apps.sensorAnalytics |
The Sensor Analytics sample application demonstrates some common
continuous sensor analytic application themes.
|
| quarks.samples.connectors |
General support for connector samples.
|
| quarks.samples.connectors.file |
Samples showing use of the
File stream connector.
|
| quarks.samples.connectors.iotf |
Samples showing device events and commands with IBM Watson IoT Platform.
|
| quarks.samples.connectors.jdbc |
Samples showing use of the
JDBC stream connector.
|
| quarks.samples.connectors.kafka |
Samples showing use of the
Apache Kafka stream connector.
|
| quarks.samples.connectors.mqtt |
Samples showing use of the
MQTT stream connector.
|
| quarks.samples.console |
Samples showing use of the
Console web application.
|
| quarks.samples.topology |
Samples showing creating and executing basic topologies .
|
| quarks.samples.utils.metrics | |
| quarks.samples.utils.sensor |
| Package | Description |
|---|---|
| quarks.analytics.math3.json |
JSON analytics using Apache Commons Math.
|
| quarks.analytics.math3.stat |
Statistical algorithms using Apache Commons Math.
|
| quarks.analytics.sensors |
Analytics focused on handling sensor data.
|
| Package | Description |
|---|---|
| quarks.metrics |
Metric utility methods, oplets, and reporters which allow an
application to expose metric values, for example via JMX.
|
| quarks.metrics.oplets |
| Package | Description |
|---|---|
| quarks.graph |
Low-level graph building API.
|
| quarks.oplet |
Oplets API.
|
| quarks.oplet.core |
Core primitive oplets.
|
| quarks.oplet.core.mbeans |
Management beans for core oplets.
|
| quarks.oplet.functional |
Oplets that process tuples using functions.
|
| quarks.oplet.plumbing |
Oplets that control the flow of tuples.
|
| quarks.oplet.window |
Oplets using windows.
|
| quarks.window |
Window API.
|
| Package | Description |
|---|---|
| quarks.javax.websocket |
Support for working around JSR356 limitations for SSL client container/sockets.
|
| quarks.javax.websocket.impl |
Support for working around JSR356 limitations for SSL client container/sockets.
|
| quarks.runtime.etiao |
A runtime for executing a Quarks streaming topology, designed as an embeddable library
so that it can be executed in a simple Java application.
|
| quarks.runtime.etiao.graph | |
| quarks.runtime.etiao.graph.model | |
| quarks.runtime.etiao.mbeans | |
| quarks.runtime.jmxcontrol | |
| quarks.runtime.jsoncontrol | |
| quarks.test.svt |
Quarks applications communicate with back-end systems through some form of message hub as there may be millions of edge devices. Quarks supports these message hubs:
Back-end analytic systems are used to perform analysis on information from Quarks applications that cannot be performed at the edge. Such analysis may be:
Topology
which uses a functional
model to build a topology of streams
for an application.
TStream
is a declaration of a stream of tuples, an application will create streams that source data (e.g. sensor readings) and then apply functions that transform those streams into derived streams, for example simply filtering a stream containg engine temperator readings to a derived stream that only contains readings thar are greater than 100°C.
This programming style is typical for streaming systems and similar APIs are supported by systems such as Apache Flink, Apache Spark Streaming, IBM Streams and Java 8 streams.
source --> filter --> transform --> aggregate --> send to MQTT
graph
API is a lower-level API that the
topology api is built on top of. A graph consists of
oplet
invocations connected by streams.
The oplet invocations contain the processing applied to each tuple
on streams connected to their input ports. Processing by the oplet
submits tuples to its output ports for subsequent processing
by downstream connected oplet invocations.
<quarks-target>
refers to a Quarks release's platform target
directory such as .../quarks/java8
.
A number of sample Java applications are provided that demonstrate use of Quarks.
The Java code for the samples is under <quarks-target>/samples
.
Shell scripts to run the samples are <quarks-target>/scripts
.
See the README
there.
Summary of samples:
| Sample | Description | Focus |
|---|---|---|
HelloWorld |
Prints Hello World! to standard output. | Basic mechanics of declaring a topology and executing it. |
PeriodicSource |
Polls a random number generator for a new value every second and then prints out the raw value and a filtered and transformed stream. | Polling of a data value to create a source stream. |
SensorsAggregates |
Demonstrates partitioned aggregation and filtering of simulated sensors
that are bursty in nature, so that only intermittently
is the data output to System.out |
Simulated sensors with windowed aggregation |
SimpleFilterTransform |
||
| File | Write a stream of tuples to files. Watch a directory for new files and create a stream of tuples from the file contents. | Use of the File stream connector |
| IotfSensors, IotfQuickstart | Sends simulated sensor readings to an IBM Watson IoT Platform instance as device events. | Use of the IBM Watson IoT Platform connector to send device events and receive device commands. |
| JDBC | Write a stream of tuples to an Apache Derby database table. Create a stream of tuples by reading a table. | Use of the JDBC stream connector |
| Kafka | Publish a stream of tuples to a Kafka topic. Create a stream of tuples by subscribing to a topic and receiving messages from it. | Use of the Kafka stream connector |
| MQTT | Publish a stream of tuples to a MQTT topic. Create a stream of tuples by subscribing to a topic and receiving messages from it. | Use of the MQTT stream connector |
| SensorAnalytics | Demonstrates a Sensor Analytics application that includes: configuration control, a device of one or more sensors and some typical analytics, use of MQTT for publishing results and receiving commands, local results logging, conditional stream tracing. | A more complete sample application demonstrating common themes. |
classpath
depending
on what features your application uses.
Include one or both of the following:
<quarks-target>/lib/quarks.providers.direct.jar
- if you use the
DirectProvider
<quarks-target>/lib/quarks.providers.development.jar
- if you use the
DevelopmentProvider
<quarks-target>/connectors/file/lib/quarks.connectors.file.jar
<quarks-target>/connectors/jdbc/lib/quarks.connectors.jdbc.jar
<quarks-target>/connectors/iotf/lib/quarks.connectors.iotf.jar
<quarks-target>/connectors/kafka/lib/quarks.connectors.kafka.jar
<quarks-target>/connectors/mqtt/lib/quarks.connectors.mqtt.jar
<quarks-target>/connectors/wsclient-javax.websocket/lib/quarks.connectors.wsclient.javax.websocket.jar
[*]javax.websocket
client implementation
if you use the wsclient
connector. Include the following to use
an Eclipse Jetty based implementation:
<quarks-target>/connectors/javax.websocket-client/lib/javax.websocket-client.jar
Include jars for any Quarks utility features you use:
<quarks-target>/utils/metrics/lib/quarks.utils.metrics.jar
- for the quarks.metrics
packagejava.util.logging
or log4j
).
For java.util.logging
you can include:
<quarks-target>/ext/slf4j-1.7.12/slf4j-jdk-1.7.12.jar
Copyright IBM 2015,2016 - 2f6ad0e-20160307-0902


@* * Copyright 2020 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.platformstatusfrontend.config.AppConfig @import uk.gov.hmrc.platformstatusfrontend.services.PlatformStatus @(statusList: List[PlatformStatus])(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @main_template(title = "Platform Status") {
| @status.name | @status.description | Ticketyboo |
| @status.name | @status.description | @status.reason |
Generate specific response codes
You are looking at the platform-status-frontend which runs in the public zone. It is running a few tests designed to exercise different bits of infrastructure. For some of the tests it calls through to the platform-status-backend which runs in the protected zone. Hopefully the tests are descriptive, but more info is available in github.
}


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Gerneric type
people = new ArrayList(),
new ArrayList<student>();
its important because it’s specific no need for debugger.
iterators
allow you to step through.
a collection (list, set, …)
its function
- efficienty<\li>
- for set: no get method<\li>
- selective remove value<\li>
<\ul>
for loop can work, but not selectively. (for loop is iterator beyond the scene)
```
for(student s: people){
...
}
```
```
Iterator
it = people.iterator(); \\ iterator is refering to the collection of the people. while (it.hasNext()) {student s = it.next(); if (s.gpa()<2.0) it.remove(); \\ use the iterator to remove. do not call it.next twice inside the loop. } ``` (note:student here is generic type. ) ### List mylist.get(3) myList.set(4,"joe") ``` myList.add("jim") \\ can be added on, it grows bigger. myList.add(0, "join") \\ assigned to the 0 position, everything else is shifted. myList.remove(4) \\ the list shring. ``` *(note: all 3 above can't be applied on array, because array can't be resized)* ### Array ``` myArray[3] myArray[4] = "joe" // use assignment ``` array and list use different syntax, but the same thing. Array is not resizable, once size is set, it can't be changed. (need to be predetermined) ### Debugger 1: Step[over]->Run called method at full speed. 2: stepInto -> Pause in called method. 3: continue, or resume. Run at full speed until breakpoint. ### wrapper classes |primitive type|wrapper class| |:---:|:---:| |in|Integer| |char|Character| |short|Short| |long|Long| |double|Double| #### the main use of wrapper class in this course. new ArrayList () grades.add(90); // autoboxing int g=grades.get(3); auto-unboxing, the get method takes the integer, unbox it and then store it in the new variable 'g'. ### Comparison ``` String student; // student is an object, because String (capitalized) if(student == "jim")...// don't do it this way. if(student.equals("jim")) // do it this way, points will be taken off if I use the lousy one. ``` note: read the comment from the above code block. *In general, how do you remember when to use `==` and `.equal`?* * use `==` when 1: comparing primitives. `int x;` // x is a primitive, because it begins with a lower case letter(int) e.g `if (x==17)` 2: comparing references `if(student == null)` * use .equal when comparing objects. `if (student1.equals(students2))` *note: every class is subclass of an object* ### diagram int x; x = 17; x(17) Student s,s2; s(null) s is a reference. s2 | | V V s = new Student("jim"); Student student (name "jim") name("jim") s2 = new Student("jim"); if(s==s2) false if (s.equals(s2)) true ### LinkedList Arraylist anything(methods) you can do with LinkedList can be done on ArrayList. both are lists. then why it's necessary to have the two then? because it has to do with efficiency. #### ArrayList VS LinkedList `add(object)` `add(int, object)` `remove(int)` *LinkedList is faster* `get(int)` `set(int,object)` *ArrayList is faster* *(memorize the above)* do not use the wrong list or credits will be taken away in this course. ### Program to an *interface whenever* possible. Interface - class, but no * method bodies, * signatures only. * cannot be instantiated ``` ArrayList roster = new ArrayList () roster.add(....); m1(roster); void m1(ArrayList ){ r.get(0); : : m2(r) } void m2 (ArrayList r){ r.add(...); : : re.remove(17); } ``` the above is not efficient, a LinkedList is better. instead, we use interface. declare student as `List` ``` List roster = new List () roster.add(....); m1(roster); void m1(List ){ r.get(0); : : m2(r) } void m2 (List r){ r.add(...); : : re.remove(17); } ``` changed to a List it will still work. now change it to *interface* ``` List roster = new LinkedList () roster.add(....); m1(roster); void m1(List ){ r.get(0); : : m2(r) } void m2 (Interface List r){ r.add(...); : : re.remove(17); } ``` ### Diagram Interface(List) -> Arraylist | V LinkedList


Saracens face Premiership relegation after salary cap points deduction and hefty fine
by Online EditorsSaracens have been docked 35 points and fined more than £5million over breaches of salary cap rules.
The penalty leaves the London club on -26 points in the early Gallagher Premiership table and facing relegation at the end of the season.
A statement from Premiership Rugby announced: “The sanction that has been imposed on Saracens Rugby Club by the panel is a total fine of £5,360,272.31 and a total deduction of 35 league points.”
The alleged breaches spanned the last three seasons but the points deduction will be applied in full this season.
The Premiership Rugby statement added: “The decision of the independent panel is that Saracens Rugby Club failed to disclose payments to players in each of the seasons 2016/17, 2017/18 and 2018/19.
(Continue reading below…)
“In addition, the club is found to have exceeded the ceiling for payments to senior players in each of the three seasons. The panel, therefore, upheld all of the charges.
“The salary cap regulations stipulate that a points deduction may be imposed in the current season (2019-20) only. The sanction has no bearing on any other domestic or European competition.”
Saracens have won back-to-back Premiership titles and are reigning European champions, but this decision is a hammer blow to the team both on a sporting and financial level.
England stars Owen Farrell and Billy Vunipola are just two of the big names on the club’s roster. The club have the right to have the case reviewed but must prove an error of law, that the decision is irrational or that there has been some procedural unfairness, the Premiership Rugby statement said. If the club seeks a review, the sanctions will be suspended.
A Premiership Rugby spokesperson said: “The salary cap is an important mechanism to ensure a level playing field for Premiership clubs and maintain a competitive, growing and financially sustainable league.
“Today’s decision by the independent panel upholds both the principle of the salary cap and the charges brought following an extensive investigation by Premiership Rugby.
“We are pleased that this process has reached a conclusion and we look forward to another exciting season of Premiership Rugby.”
Saracens have since confirmed they are to appeal against the sanctions, which they have described as “heavy-handed”.
– Press Association
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