Problem:
Inputs but no updates – emonTH standard? Setup
Setup:
I have a new RFM12Pi v2 and an emonTH purchased from the shop. See pictures attached.
Using the Raspberry Pi Ready to go image from: https://github.com/emoncms/docs/blob/master/raspberrypiimage.md
Wireless distance between at one metres
Running on 433MHz
Using Tesco Extra Long Life Akaline AA 1.5v batterys – swapped for new numerous times
sending data to emonscms.org
LED solid at emonTH power on then blips 18 (I think – difficult to count) times but then nothing. I though there was a 60sec heartbeat?
Inputs come through at power on of emoTH
I`ve followed: http://openenergymonitor.org/emon/modules/emonTH
No values aprt from node19:1 (temperature) at beginning.
No regular updates from any inputs
I ran minicom and rebooted (battery out then in) emonTH
pi@raspberrypi ~ $ sudo service rfm12piphp stop
Log is turned off
Stopping RPI: stopped
pi@raspberrypi ~ $ minicom -b9600 -D/dev/ttyAMA0
See output below.
Solution?
Is the EmonTH faulty or have I set it up wrong?
Thanks
Aidan Venn
Log file after EmonTH reboot:
MESSAGE RX:> 15i
BASEID SET CORRECTLY
DATA RX:^A
MESSAGE RX:> 4b
FREQUENCY SET CORRECTLY
DATA RX:^A
MESSAGE RX:> 210g
GROUP SET CORRECTLY
DATA RX:^A
DATA RX: 19 10 0 0 0 0 0 0 0
DATA RX: 19 9 0 0 0 0 0 0 0
DATA RX: 19 8 0 0 0 0 0 0 0
DATA RX: 19 7 0 0 0 0 0 0 0
DATA RX: 19 6 0 0 0 0 0 0 0
DATA RX: 19 5 0 0 0 0 0 0 0
DATA RX: 19 4 0 0 0 0 0 0 0
DATA RX: 19 3 0 0 0 0 0 0 0
DATA RX: 19 2 0 0 0 0 0 0 0
DATA RX: 19 1 0 0 0 0 0 0 0
DATA RX: 19 0 0 0 0 0 0 0 0
Sending remote data00,10,32,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,33,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,34,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,35,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,36,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,37,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,38,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,39,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,40,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data00,10,41,00s
MESSAGE RX:> 0s
LENGTH: -> 4 b
Sending remote dataSending remote data
MINICOM output:
Welcome to minicom 2.6.1
OPTIONS: I18n
Compiled on Apr 28 2012, 19:24:31.
Port /dev/ttyAMA0
Press CTRL-A Z for help on special keys
19 10 0 0 0 0 0 0 0
19 9 0 0 0 0 0 0 0
19 8 0 0 0 0 0 0 0
19 7 0 0 0 0 0 0 0
19 6 0 0 0 0 0 0 0
19 5 0 0 0 0 0 0 0
19 4 0 0 0 0 0 0 0
19 3 0 0 0 0 0 0 0
19 2 0 0 0 0 0 0 0
19 1 0 0 0 0 0 0 0
19 0 0 0 0 0 0 0 0
MINICOM Menu Output:
Available commands:
123 x - Toggle configuration change protection, 1=Unlocked
<nn> i - set node ID (standard node ids are 1..26)
<n> b - set MHz band (4 = 433, 8 = 868, 9 = 915)
<nnn> g - set network group (RFM12 only allows 212, 0 = any)
<n> c - set collect mode (advanced, normally 0)
...,<nn> a - send data packet to node <nn>, with ack
...,<nn> s - send data packet to node <nn>, no ack
<n> l - turn activity LED on DIG8 on or off
Current configuration:
79 i15 g210 @ 433 MHz Lock: 1
Re: Inputs but no updates – emonTH standard? Setup
Hi avenn,
Good work getting up and running.
It sounds like the emonTH is not detecting the sensors, the LED should not flash. It should come on for a few seconds at power up to indicate successful power up (there is no heartbeat). If the LED flashes it means the sensors have not been detected. Looking at the photo you have incorrectly solderd the DS18B20 into the DHT22 socket. See photo showing how the DS18B20 should be soldered:
It sounds like the Raspberry Pi is working fine, I can see it's successfully receiving the initial RF test packets from the emonTH (10 -0 count down)
I would recommend you download and install the latest pre-built SD card image for the Pi based on latest raspbian set to work in read-only file system with separate data partition to increase SD card lifespan. This comes with emonHub pre installed.
https://github.com/emoncms/emoncms/blob/bufferedwrite/readme.md


Deontay Wilder explains why he wants Andy Ruiz Jr to beat Anthony Joshua
Deontay Wilder has a good reason to be backing Andy Ruiz Jr in his December 7 rematch with Anthony Joshua
by Irishmirror.ieDeontay Wilder is keen to see Andy Ruiz Jr win his rematch with Anthony Joshua - to make his own unification quest easier.
Wilder and Joshua were long tipped to face off in a bid to bring together the heavyweight belts before Joshua lost his WBA, IBF, WBO and IBO belts on June 1.
WBC king Wilder will defend his belt against Luiz Ortiz on Saturday before turning his attentions elsewhere.
Whilst a rematch with Tyson Fury is pencilled in for February 22, unification remains on his radar.
And he admits he would prefer Ruiz to defeat Joshua due to the ease of negotiations with a boxer also under the PBC promotional stable.
Wilder said: “After this fight, I’m looking forward to the rematch with Fury.
“Then after I knock Fury out I’m looking forward to the winner of Joshua - Ruiz.
“Hopefully it’s Ruiz because if Joshua get it, I don’t think it’s going to be unification bout.
“But if Ruiz get it [the win], being that we’re in the same stable, it’ll be an easier fight to make.
“It’ll be the one that people say we finally have a unification in the heavyweight division and it will be Deontay Wilder .”
Wilder and Joshua were locked in negotiations several times.
But talks between Wilder's camp and Joshua's team, led by Eddie Hearn, regularly broke down with both sides keen to point the finger.
Whilst both sides have refused to rule out meeting in the future, Ruiz Jr winning the rematch would certainly increase the chances of the division being unified, provided Wilder keeps his unbeaten run going.
The winner of Joshua and Ruiz Jr could have to vacate one of their belts, however, with mandatory challengers looming for the WBO and IBF straps.


Head Blacksmith Vergara:
You'll find Sorcerer Kail on the Forsaken Plains, and there you'll find the coins as well, likely in the possession of the filthy orcs that infest that place.
You could also probably win some by gambling with other players...
Back


My name is Stephania Mutinda.I am currently a student at Moringa School.I am enrolled in the Moringa software development prep program.I did my highschool education at Limuru Girls School.I went to Fadhili Primary School,which is found in Umoja 2,for my primary education.I decided to take a class on programming so that I would be able to create programs that can actually help people solve problems.During my free periods I like to indulge myself in certain hobbies like:
- Swimming
- Playing Lawn Tennis
- Making beaded bags


All functions
|
|
add_suffix()
|
Helper functions when creating get_all_missing() |
|
combineR
|
combineR Package |
|
count_keys()
|
See how many unique values of the joining key exist in your data. |
|
demographics
|
The demographics data |
|
ell
|
The ell data |
|
explain_NAs()
|
Given one dataset, find the number of NA values in each column for that dataset |
|
explain_rows()
|
Find the number of rows, columns, and unique number of rows in your data sets |
|
fullJoin()
|
Helper functions when creating get_all_missing() |
|
get_all_missing()
|
Get insight onto where missing values will enter when joining your data frames |
|
get_missings()
|
Helper function used in get_all_missing() |
|
leftJoin()
|
Helper functions when creating get_all_missing() |
|
math
|
The math data |
|
tally_missing()
|
Helper functions when creating get_all_missing() |


Phone: 0818 660 399 | Mail<EMAIL_ADDRESS>We code, we teach and we innovate
Applications are open to the next cohort of CodeLegion. If you want to learn the latest programming skills then CodeLegion is the one for you.
Think about it. There are many programming tracks and roadmap out there. The only way to enjoy it is to follow carefully curated tracks. Courses at CodeLegion are taught by faculty teams who are experts and thought leaders in their respective fields. The Academy's curriculum builds the foundation necessary for lawyers to acquire business education and skills for a successful career in tech.


ABOUT US
When you work with us you are part of a team of committed colaborators.
All aspects of our software development process are integrated,interactive and agile.
Our approach unifies design,development and
product management to create exceptional products.
We start each project with understanding your business goals.
the users needs are the product requirements
Then we help translate them into effective and elegant solutions.
DELANI STUDIOS.
2015


Java is known as an Object-Oriented programming Language. This means many of its functions are based off containers called objects, or (in the case of Java), classes. This offers many advantages to developers, but the most important is less repetition when coding. Creating objects allows a programmer to store categorized data and reuse sections of code without having to retype it somewhere else in the program, and is therefore a much more efficient and streamlined way to program.
A class
keyword in Java denotes an object. Objects are used to group methods and variables that have a logical place with one another and will interact in some way with one another. If we have a Car
, we want it to be able to drive
and stop
. If we take that last sentence and look at it a little bit harder, we can already see our class taking shape.
Before a class can be used, it must be declared inside its own .java
file. In this exmple, we will create a Car
class that can drive
and stop
. We will also include the necessary variables needed to make (construct) a car.
public class Car {
A class header is used to declare your class to the program. It is a very simple declaration including only an accessibility identifier, the word class
, and the name of the class you would like to create. A Class's name usually starts with a capital letter. (A syntax error will not be thrown if you don't capitalize it, but it is the convention of programmers).
private int topSpeed;
private boolean sixCylinder = false;
public Car(int topSpeed, boolean cyl){
}
A Class's constructor is one of its most important parts. We will go over constructors below.
public void drive(){
}
public void stop(){
}
All classes should contain a constructor. The constructor, as it might sound, constructs a new instance of that object. A constructor is most-often used to create a new instance of the object outside of the class, but methods within the object's class can also call its constructor and create new instances (usually to return
the objects to another class).
public <Name of class>() {
A constructor is normally used to initialize uninitialized variables. For example, in our car
class, we have two instance variables, topSpeed
and sixCylinder
. In our class, sixCylinder
is already initialized as false
, but topSpeed
has no initial value. In this case, our constructor would be used to initialize it.
The completed Constructor would be as follows:
public Car(int top) {
this.topSpeed = top;
}
You can see the assignment statement inside the constructor. The constructor works just like any other method in Java, but the computer will recognize a call to a constructor as an instruction to make a new
version of that object, and allocate it some memory in RAM.
Inheritance is a very important concept to grasp in Object-Oriented Programming. Inheritance is one of the main ways different objects within a program that are similar can use shared code without having to write anything extra.
Interfaces are quick and easy ways to ensure that multiple types of classes all have the same exact methods as one another. Inside an interface can be only method headers and constants. No method may be implemented (contain its actual code), it may only be declared, including its acessibility, return type, and parameters. Interfaces may be used when you are sure you know what methods you will need, but you are not sure how to implement them. If a class implements
your interface, it must use all of the methods and constants within it.
public interface Name {
Declaring an interface is very similar to declaring a class. Instead of theclass
identifier, however, is the interface
identifier, telling the computer that this is not a class. After this, one must simply add method headers like so:
public int testMethod();
Including the semicolon at the end.
This is what is called an abstract method, because it is not implemented. All methods inside an interface must be abstract. If a method is accidentally implemented, your IDE will show an error.
Abstract classes are quite like a mix of an interface and a normal class. They are like interfaces in that they are not able to be instantiated, but they are like classes because you can implement methods inside of them.
Declaring an abstract class is as simple as adding the word abstract
before class
in the class declaration.
public abstract class MyClass{
}
Inside an abstract class, you may write any method as you would in a regular class. Things get different, however, when you want to declare an abstract method. Unlike interfaces, not all methods in an abstract class are abstract
, so you must designate the ones that are to be so. You can do this simply by writing methods as follows:
public abstract void myMethod();
Interspersed between the rest of your methods. Leaving out the abstract
keyword will cause a syntax error.
Setting up these inheritable classes truly does nothing if none of our objects inherit them. So how do we integrate them in our program?
implementing
an InterfaceImplementing an interface is as simple as including implements <interface>
after your class header, like so:
public class MyClass implements MyInterface {
Once you implement an interface, you must use all of the declared methods and constants within.
extending
a Class or Abstract ClassThe process for inheriting from an abstract class or regular class is the same on the subclass-side.
public class MyClass extends MyOtherClass {
This makes all of the methods, variables and constants available to the subclass. All abstract
methods must be implemented in the subclass, but other, implemented methods, may be called from anywhere in the class without re-implementing them in the program.


Animations
Transition Effects
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Authorization is hard - and authorization is often conflated with authentication and identity. We think that tightly coupling "Identity and Access Management" in a single solution is the wrong approach. These two concerns should be clearly separated.
As your software becomes more complex, not maintaining this separation leads to problems. Back in 2016 we wrote a blog post that expressed this concern.
Identity is universal, whereas permissions are application specific. This is why the identity system should not define permissions.
Instead, identity should be one of the inputs to an authorization system. The combination of identity and an application-specific policy produces the actual permissions for an application.
While there are many ways to model authorization, we found that the concept of roles and permissions to be the most prevalent. Please watch the below recording to get more full background.
This is why we have developed "PolicyServer", which is an implementation of the above pattern.
We offer two versions of PolicyServer.
We have a very simple OSS proof of concept of the PolicyServer concept that can be used by applications that do not require a database or management UI for their authorization policies. It includes libraries that illustrate the patterns we believe in to achieve the separation of authentication and authorization for a single application.
Our commercial product includes a backend schema, management and runtime APIs, a management UI and has several tiers to allow for simpler solutions to manage few application policies, and enterprise solutions to manage policies for multiple applications, multi-tenancy, policy hierarchy, audit and more.


13.7 CGI Script Trade-offs
As shown in this chapter, PyMailCgi is still something of a system in
the making, but it does work as advertised: by pointing a browser at
the main page's URL, I can check and send email from anywhere I
happen to be, as long as I can find a machine with a web browser. In
fact, any machine and browser will do: Python doesn't even have
to be installed.
That's not the case with the PyMailGui client-side program we
wrote in Chapter 11.
But before we all jump on the collective Internet bandwagon and
utterly abandon traditional APIs like Tkinter, a few words of larger
context are in order. Besides illustrating larger CGI applications in
general, this example was chosen to underscore some of the trade-offs
you run into when building applications to run on the Web. PyMailGui
and PyMailCgi do roughly the same things, but are radically different
in
implementation:
PyMailGui is a traditional user-interface program: it runs entirely
on the local machine, calls out to an in-process GUI API library to
implement interfaces, and talks to the Internet through sockets only
when it has to (e.g., to load or send email on demand). User requests
are routed immediately to callback handler functions or methods
running locally, with shared variables that automatically retain
state between requests. For instance, PyMailGui only loads email
once, keeps it in memory, and only fetches newly arrived messages on
future loads because its memory is retained between events.
PyMailCgi, like all CGI systems, consists of scripts that reside and
run on a server machine, and generate HTML to interact with a user at
a web browser on the client machine. It runs only in the context of a
web browser, and handles user requests by running CGI scripts
remotely on the server. Unless we add a real database system, each
request handler runs autonomously, with no state information except
that which is explicitly passed along by prior states as hidden form
fields or URL parameters. As coded, PyMailCgi must reload all email
whenever it needs to process incoming email in any way.
On a basic level, both systems use the Python POP and SMTP modules to
fetch and send email through sockets. But the implementation
alternatives they represent have some critical ramifications that you
should know about when considering delivering systems on the Web:
- Performance costs
-
Networks are slower than
CPUs
. As
implemented, PyMailCgi isn't nearly as fast or as complete as
PyMailGui. In PyMailCgi, every time the user clicks a submit button,
the request goes across the network. More specifically, every user
request incurs a network transfer overhead, every callback handler
(usually) takes the form of a newly spawned process on the server,
parameters come in as text strings that must be parsed out, and the
lack of state information on the server between pages means that mail
needs to be reloaded often. In contrast, user clicks in PyMailGui
trigger in-process function calls instead of network traffic and
process forks, and state is easily saved as Python in-process
variables (e.g., the loaded-mail list is retained between clicks).
Even with an ultra-fast Internet connection, a server-side CGI system
is slower than a client-side program.
Some of these bottlenecks may be designed away at the cost of extra
program complexity. For instance, some web servers use threads and
process pools to minimize process creation for CGI scripts. Moreover,
some state information can be manually passed along from page to page
in hidden form fields and generated URL parameters, and state can be
saved between pages in a concurrently accessible database to minimize
mail reloads (see the PyErrata case study in Chapter 14 for an example). But there's no getting
past the fact that routing events over a network to scripts is much
slower than calling a Python function directly.
- Complexity costs
-
HTML isn't pretty
.
Because PyMailCgi must generate HTML to interact with the user in a
web browser, it is also more complex (or at least, less readable)
than PyMailGui. In some sense, CGI scripts embed HTML code in Python.
Because the end result of this is a mixture of two very different
languages, creating an interface with HTML in a CGI script can be
much less straightforward than making calls to a GUI API such as
Tkinter.
Witness, for example, all the care we've taken to escape HTML
and URLs in this chapter's examples; such constraints are
grounded in the nature of HTML. Furthermore, changing the system to
retain loaded-mail list state in a database between pages would
introduce further complexities to the CGI-based solution. Secure
sockets (e.g., OpenSSL, to be supported in Python 1.6) would
eliminate manual encryption costs, but introduce other overheads.
- Functionality costs
-
HTML can only say so much. HTML is a portable
way to specify simple pages and forms, but is poor to useless when it
comes to describing more complex user interfaces. Because CGI scripts
create user interfaces by writing HTML back to a browser, they are
highly limited in terms of user-interface constructs.
For example, consider implementing an image-processing and animation
program as CGI scripts: HTML doesn't apply once we leave the
domain of fill-out forms and simple interactions. This is precisely
the limitation that Java applets were designed to
address -- programs that are stored on a server but pulled down to
run on a client on demand, and given access to a full-featured GUI
API for creating richer user interfaces. Nevertheless, strictly
server-side programs are inherently limited by the constraints of
HTML. The animation scripts we wrote at the end of Chapter 8, for example, are well beyond the scope of
server-side scripts.
- Portability benefits
-
All you need is a
browser
. On
the client side, at least. Because PyMailCgi runs over the Web, it
can be run on any machine with a web browser, whether that machine
has Python and Tkinter installed or not. That is, Python needs to be
installed on only one computer: the web server machine where the
scripts actually live and run. As long as you know that the users of
your system have an Internet browser, installation is simple.
Python and Tkinter, you will recall, are very portable too -- they
run on all major window systems (X, Windows, Mac) -- but to run a
client-side Python/Tk program such as PyMailGui, you need Python and
Tkinter on the client machine itself. Not so with an application
built as CGI scripts: they will work on Macintosh, Linux, Windows,
and any other machine that can somehow render HTML web pages. In this
sense, HTML becomes a sort of portable GUI API language in CGI
scripts, interpreted by your web browser. You don't even need
the source code or bytecode for the CGI scripts themselves -- they
run on a remote server that exists somewhere else on the Net, not on
the machine running the browser.
- Execution requirements
-
But you do need a browser. That is, the very
nature of web-enabled systems can render them useless in some
environments. Despite the pervasiveness of the Internet, there are
still plenty of applications that run in settings that don't
have web browsers or Internet access. Consider, for instance,
embedded systems, real-time systems, and secure government
applications. While an Intranet (a local network without external
connections) can sometimes make web applications feasible in some
such environments, I have recently worked at more than one company
whose client sites had no web browsers to speak of. On the other
hand, such clients may be more open to installing systems like Python
on local machines, as opposed to supporting an internal or external
network.
- Administration requirements
-
You really need a server
too
. You can't write CGI-based
systems at all without access to a web sever. Further, keeping
programs on a centralized server creates some fairly critical
administrative overheads. Simply put, in a pure client/server
architecture, clients are simpler, but the server becomes a critical
path resource and a potential performance bottleneck. If the
centralized server goes down, you, your employees, and your customers
may be knocked out of commission. Moreover, if enough clients use a
shared server at the same time, the speed costs of web-based systems
become even more pronounced. In fact, one could make the argument
that moving towards a web server architecture is akin to stepping
backwards in time -- to the time of centralized mainframes and
dumb terminals. Whichever way we step, offloading and distributing
processing to client machines at least partially avoids this
processing bottleneck.
So
what's the best way to build applications for the
Internet -- as client-side programs that talk to the Net, or as
server-side programs that live and breathe on the Net? Naturally,
there is no one answer to that question, since it depends upon each
application's unique constraints. Moreover, there are more
possible answers to it than we have proposed here; most common CGI
problems already have common proposed solutions. For example:
- Client-side solutions
-
Client- and server-side programs can be mixed in many ways. For
instance, applet programs live on a server, but
are downloaded to and run as client-side programs with access to rich
GUI libraries (more on applets when we discuss JPython in Chapter 15). Other technologies, such as embedding
JavaScript or Python directly in HTML code, also support client-side
execution and richer GUI possibilities; such scripts live in HTML on
the server, but run on the client when downloaded and access browser
components through an exposed object model (see the discussion Section 15.8 near the end of Chapter 15). The emerging Dynamic HTML (DHTML) extensions
provide yet another client-side scripting option for changing web
pages after they have been constructed. All of these client-side
technologies add extra complexities all their own, but ease some of
the limitations imposed by straight HTML.
- State retention solutions
-
Some web application servers (e.g., Zope, described in Chapter 15) naturally support state retention between
pages by providing concurrently accessible object databases. Some of
these systems have a real underlying database component (e.g., Oracle
and mySql); others may make use of files or Python persistent object
shelves with appropriate locking (as we'll explore in the next
chapter). Scripts can also pass state information around in hidden
form fields and generated URL parameters, as done in PyMailCgi, or
store it on the client machine itself using the standard cookie
protocol.
Cookies
are
bits of information stored on the client upon request from the
server. A cookie is created by sending special headers from the
server to the client within the response HTML
(Set-Cookie: name=value). It is
then accessed in CGI scripts as the value of a special environment
variable containing cookie data uploaded from the client
(HTTP_COOKIE). Search http://www.python.org for more details on
using cookies in Python scripts, including the freely available
cookie.py module, which automates the cookie
translation process. Cookies are more complex than program variables and are
somewhat controversial (some see them as intrusive), but they can
offload some simple state retention tasks.
- HTML generation solutions
-
Add-ons
can also take some of the complexity out of embedding HTML in Python
CGI scripts, albeit at some cost to execution speed. For instance,
the HTMLgen system described in Chapter 15 lets
programs build pages as trees of Python objects that
"know" how to produce HTML. When a system like this is
employed, Python scripts deal only with objects, not the syntax of
HTML itself. Other systems such as PHP and Active Server Pages
(described in the same chapter) allow scripting language code to be
embedded in HTML and executed on the server, to dynamically generate
or determine part of the HTML that is sent back to a client in
response to requests.
Clearly, Internet technology does imply some design trade-offs, and
is still evolving rapidly. It is nevertheless an appropriate delivery
context for many (though not all) applications. As with every design
choice, you must be the judge. While delivering systems on the Web
may have some costs in terms of performance, functionality, and
complexity, it is likely that the significance of those overheads
will diminish with time.
|


Biodiversity & Taxonomy Software Tools @ rOpenSci
Scott Chamberlain ( @sckottie)
UC Berkeley / rOpenSci
Broad areas of packages
Taxonomy
Occurrence data
Environmental data
Citations
Questions addressed w/ our software
Use cases: taxize
- classify species invasive or not
- software uses taxize to check user names against ITIS
- check names against TPL, EOL, COL, IUCN, uBIO
- get name data for NCBI sequence data
- validate genus names for a food web
- compiled dataset of tropical forest tree species names checked w/ TNRS
- add taxonomic classification data to meta-analysis dataset
Use cases: rgbif
- occurrence records to construct niche models
- collect occurrence records for catfishes in a Brazilian river
- occurrence records of Acacia species in Australia through time
- assessing niche expansion of invasive plants with occurrence records
- small note in manuscript about a species being in a study area
Use cases: rfishbase
- collect fish life history traits
- extract fecundity data for four fish species
- group species into trophic guilds using trophic position
- fetch salinity associated traits for many fish species
- acquire depth ranges for many species to determine a phylogenetic signal
Use cases: rentrez
- search PubMed for mentions of phrases
- demonstrate rentrez use to search NCBI for articles in institutional repositories
- fetch NCBI taxonomic information for sequence data
- use NCBI's Gene Expression Omnibus service
- extract citations (presumably from PubMed) using rentrez
Use cases: spocc
- use GBIF data to explore genome size variation against many variables
- use GBIF data to construct species range and niche centroids
- use GBIF, VertNet, BISON, Ecoengine, iNaturalist data to construct species niche models
- use Vertnet and iNaturalist data to identify most vulernable populations for snakebites
- use GBIF data via zoon in malariaAtlas R pkg
- use GBIF and iDigBio data to construct future species ranges
Use cases: rnoaa
- fetch sea surface temperature (SST): check if latitude/SST explains variation in body size
- use many variables from ISD to predict airplane flight time
- use climate data to identify opportunities for stream restoration
- estimate interannual climatic variability in urban areas
- government report on precipitation
future work /
hard problems


References
“The following is a list of websites that are provided by the lecturers for references during our tracked vehicle project”
References
For Electrical Related
- http://esp32.net/
- https://en.wikipedia.org/wiki/ESP32
- https://docs.micropython.org/en/latest/esp32/tutorial/intro.html
- https://learn.adafruit.com/building-and-running-micropython-on-the-esp8266/overview
- https://github.com/espressif/esptool
- http://micropython.org/download#esp32
- https://randomnerdtutorials.com/how-to-level-shift-5v-to-3-3v/
- https://dronebotworkshop.com/dc-motors-l298n-h-bridge/
- https://components101.com/microcontrollers/esp32-devkitc
- https://lastminuteengineers.com/esp32-arduino-ide-tutorial/#onboard-switches-led-indicators
- https://www.youtube.com/user/rdagger68 (Circuit and Coding guides)
- https://www.youtube.com/channel/UCu7_D0o48KbfhpEohoP7YSQ (ESP32 Guide Channel, Andreas Spiess)
- https://www.youtube.com/watch?v=hi8iDy7jsOg (Lithium Ion Battery Charger)
- https://www.youtube.com/watch?v=43-N4RQhtp0
For Mechanical Related
-
http://mehanizacija.ftn.uns.ac.rs/wp-content/uploads/2017/07/Part-12.pdf (Overview of mechanics)
-
https://mae.ufl.edu/designlab/motors/EML2322L%20Drive%20Wheel%20Motor%20Torque%20Calculations.pdf (Important for Individual Assignment)
-
https://sg.rs-online.com/web/c/automation-control-gear/electric-motors-motor-controllers-peripherals/dc-geared-motors/ (For the type of motors available in the market)
-
https://www.wikiwand.com/en/Continuous_track (History and concept of track vehicles)
For Others
- https://github.com/barryclark/jekyll-now (Jekyll Pages Guide)
- https://www.kickstarter.com/projects/rorymackean/tertill-the-solar-powered-weeding-robot-for-home-g (Tertill Project)
Written on November 6, 2019


|
gtsam
4.0.0
gtsam
|
An iSAM2-based Batch Filter that implements the Concurrent Filtering and Smoother interface.
Public Member Functions | |
| ConcurrentIncrementalFilter (const ISAM2Params ¶meters=ISAM2Params()) | |
| Default constructor. | |
| virtual | ~ConcurrentIncrementalFilter () |
| Default destructor. | |
| virtual void | print (const std::string &s="Concurrent Incremental Filter:\n", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| Implement a GTSAM standard 'print' function. | |
| virtual bool | equals (const ConcurrentFilter &rhs, double tol=1e-9) const |
| Check if two Concurrent Filters are equal. | |
| const NonlinearFactorGraph & | getFactors () const |
| Access the current set of factors. | |
| const ISAM2 & | getISAM2 () const |
| Access the current linearization point. | |
| const Values & | getLinearizationPoint () const |
| Access the current linearization point. | |
| const VectorValues & | getDelta () const |
| Access the current set of deltas to the linearization point. | |
| Values | calculateEstimate () const |
| Compute the current best estimate of all variables and return a full Values structure. More... | |
| template<class VALUE > | |
| VALUE | calculateEstimate (Key key) const |
| Compute the current best estimate of a single variable. More... | |
| Result | update (const NonlinearFactorGraph &newFactors=NonlinearFactorGraph(), const Values &newTheta=Values(), const boost::optional< FastList< Key > > &keysToMove=boost::none, const boost::optional< FactorIndices > &removeFactorIndices=boost::none) |
| Add new factors and variables to the filter. More... | |
| virtual void | presync () |
| Perform any required operations before the synchronization process starts. More... | |
| virtual void | getSummarizedFactors (NonlinearFactorGraph &filterSummarization, Values &filterSummarizationValues) |
| Populate the provided containers with factors that constitute the filter branch summarization needed by the smoother. More... | |
| virtual void | getSmootherFactors (NonlinearFactorGraph &smootherFactors, Values &smootherValues) |
| Populate the provided containers with factors being sent to the smoother from the filter. More... | |
| virtual void | synchronize (const NonlinearFactorGraph &smootherSummarization, const Values &smootherSummarizationValues) |
| Apply the updated version of the smoother branch summarized factors. More... | |
| virtual void | postsync () |
| Perform any required operations after the synchronization process finishes. More... | |
| Public Member Functions inherited from gtsam::ConcurrentFilter | |
| ConcurrentFilter () | |
| Default constructor. | |
| virtual | ~ConcurrentFilter () |
| Default destructor. | |
Public Types | |
| typedef boost::shared_ptr< ConcurrentIncrementalFilter > | shared_ptr |
| typedef ConcurrentFilter | Base |
| typedef for base class | |
| Public Types inherited from gtsam::ConcurrentFilter | |
| typedef boost::shared_ptr< ConcurrentFilter > | shared_ptr |
Classes | |
| struct | Result |
| Meta information returned about the update. More... | |
Protected Attributes | |
| ISAM2 | isam2_ |
| The iSAM2 inference engine. | |
| NonlinearFactorGraph | previousSmootherSummarization_ |
| The smoother summarization on the old separator sent by the smoother during the last synchronization. | |
| FactorIndices | currentSmootherSummarizationSlots_ |
| The slots in factor graph that correspond to the current smoother summarization on the current separator. | |
| NonlinearFactorGraph | smootherShortcut_ |
| A set of conditional factors from the old separator to the current separator (recursively calculated during each filter update) | |
| NonlinearFactorGraph | smootherFactors_ |
| A temporary holding place for the set of full nonlinear factors being sent to the smoother. | |
| Values | smootherValues_ |
| A temporary holding place for the linearization points of all keys being sent to the smoother. | |
|
inline |
Compute the current best estimate of all variables and return a full Values structure.
If only a single variable is needed, it may be faster to call calculateEstimate(const KEY&).
|
inline |
Compute the current best estimate of a single variable.
This is generally faster than calling the no-argument version of calculateEstimate if only specific variables are needed.
| key |
|
virtual |
Populate the provided containers with factors being sent to the smoother from the filter.
These may be original nonlinear factors, or factors encoding a summarization of the filter information. The specifics will be implementation-specific for a given filter.
| smootherFactors | The new factors to be added to the smoother |
| smootherValues | The linearization points of any new variables |
Implements gtsam::ConcurrentFilter.
|
virtual |
Populate the provided containers with factors that constitute the filter branch summarization needed by the smoother.
Also, linearization points for the new root clique must be provided.
| summarizedFactors | The summarized factors for the filter branch |
| rootValues | The linearization points of the root clique variables |
Implements gtsam::ConcurrentFilter.
|
virtual |
Perform any required operations after the synchronization process finishes.
Called by 'synchronize'
Reimplemented from gtsam::ConcurrentFilter.
|
virtual |
Perform any required operations before the synchronization process starts.
Called by 'synchronize'
Reimplemented from gtsam::ConcurrentFilter.
|
virtual |
Apply the updated version of the smoother branch summarized factors.
| summarizedFactors | An updated version of the smoother branch summarized factors |
Implements gtsam::ConcurrentFilter.
| ConcurrentIncrementalFilter::Result gtsam::ConcurrentIncrementalFilter::update | ( | const NonlinearFactorGraph & | newFactors = NonlinearFactorGraph() , |
| const Values & | newTheta = Values() , |
||
| const boost::optional< FastList< Key > > & | keysToMove = boost::none , |
||
| const boost::optional< FactorIndices > & | removeFactorIndices = boost::none |
||
| ) |
Add new factors and variables to the filter.
Add new measurements, and optionally new variables, to the filter. This runs a full update step of the derived filter algorithm
| newFactors | The new factors to be added to the smoother |
| newTheta | Initialization points for new variables to be added to the filter You must include here all new variables occurring in newFactors that were not already in the filter. |
| keysToMove | An optional set of keys to move from the filter to the smoother |
| removeFactorIndices | An optional set of indices corresponding to the factors you want to remove from the graph |


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RDATE
Section: Red Hat (1)Updated: May 2001
Index Return to Main Contents
NAME
rdate - get the time via the networkSYNOPSIS
rdate [-p] [-s] [-u] [-l] [-t sec] [host...]DESCRIPTION
rdate connects to an RFC 868 time server over a TCP/IP network, printing the returned time and/or setting the system clock.OPTIONS
- -p
- Print the time returned by the remote machine.
- -s
- Set the system time to the returned time.
- -u
- Use UDP instead of TCP as the transport.
- -l
- Use syslog to output errors (cron.warning) and output (cron.info).
- -t
- Set timeout in seconds for every attempt to retreive date.
HISTORY
- 2004-03-16 Johan Nilsson<EMAIL_ADDRESS>- Timeout support added.
- 2002-11-06 Elliot Lee<EMAIL_ADDRESS>- Patch from Tomek Orzechowski<EMAIL_ADDRESS>- alarm(10) to not wait forever for connections.
- 2001-05-23 Phil Knirsch<EMAIL_ADDRESS>- Added UDP protocol support. Close the connection after message handling in conformance to RFC 868.
- 2002-03-07 Elliot Lee<EMAIL_ADDRESS>- Add syslog functionality.
- 2000-02-04 Elliot Lee<EMAIL_ADDRESS>-
Wrote it (previous incarnation had license problems, all 200 lines of it).
Index
This document was created by man2html, using the manual pages.
Time: 05:29:09 GMT, December 24, 2015


Line 1:
Point One:
x:
y:
Point Two:
x:
y:
Submit
Line 2:
Point One:
x:
y:
Point Two:
x:
y:
Submit
Line 3:
Point One:
x:
y:
Point Two:
x:
y:
Submit
Triangle?


Seoul decides to keep Japanese military intelligence pact
by The Associated PressSEOUL, Korea, Republic Of — South Korea says it has decided to continue a 2016 military intelligence-sharing agreement with Japan it previously decided to terminate amid ongoing disputes over their wartime history and trade.
The announcement by South Korea on Friday followed a strong U.S. push to save the pact, which has been a major symbol of the countries’ three-way security co-operation in the face of North Korea’s nuclear threat and China’s growing influence.
The office of South Korean President Moon Jae-in says it decided to suspend the effect of the three months’ notice it gave in August to terminate the agreement, which was to expire on Saturday, after Tokyo agreed to reciprocal measures.
The Associated Press


lm()
lm()
fitted.values
predict()
to predict new data from a modely ~ x1 * x2
aov()
anova()
glm()
glm(family = "binomial"
To conduct a two-way ANOVA or a Menage a trois NOVA, just include additional independent variables in the regression model formula with the + sign. That’s it. All the steps are the same. Let’s conduct a two-way ANOVA with both cleaner and type as independent variables. To do this, we’ll set formula = time ~ cleaner + type
.
# Step 1: Create ANOVA object with aov()
cleaner.type.aov <- aov(formula = time ~ cleaner + type,
data = poopdeck)
# Step 2: Get ANOVA table with summary()
summary(cleaner.type.aov)
## Df Sum Sq Mean Sq F value Pr(>F)
## cleaner 2 6057 3028 6.94 0.001 **
## type 1 81620 81620 187.18 <2e-16 ***
## Residuals 596 259891 436
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
It looks like we found significant effects of both independent variables.
# Step 3: Conduct post-hoc tests
TukeyHSD(cleaner.type.aov)
## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = time ~ cleaner + type, data = poopdeck)
##
## $cleaner
## diff lwr upr p adj
## b-a -0.42 -5.3 4.5 0.98
## c-a -6.94 -11.8 -2.0 0.00
## c-b -6.52 -11.4 -1.6 0.01
##
## $type
## diff lwr upr p adj
## shark-parrot 23 20 27 0
The only non-significant group difference we found is between cleaner b and cleaner a. All other comparisons were significant.
# Step 4: Look at regression coefficients
cleaner.type.lm <- lm(formula = time ~ cleaner + type,
data = poopdeck)
summary(cleaner.type.lm)
##
## Call:
## lm(formula = time ~ cleaner + type, data = poopdeck)
##
## Residuals:
## Min 1Q Median 3Q Max
## -59.74 -13.79 -0.68 13.58 83.58
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 54.36 1.71 31.88 < 2e-16 ***
## cleanerb -0.42 2.09 -0.20 0.84067
## cleanerc -6.94 2.09 -3.32 0.00094 ***
## typeshark 23.33 1.71 13.68 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21 on 596 degrees of freedom
## Multiple R-squared: 0.252, Adjusted R-squared: 0.248
## F-statistic: 67 on 3 and 596 DF, p-value: <2e-16
Now we need to interpret the results in respect to two default values (here, cleaner = a and type = parrot). The intercept means that the average time for cleaner a on parrot poop was 54.36 minutes. Additionally, the average time to clean shark poop was 23.33 minutes slower than when cleaning parrot poop.
Interactions between variables test whether or not the effect of one variable depends on another variable. For example, we could use an interaction to answer the question: Does the effect of cleaners depend on the type of poop they are used to clean? To include interaction terms in an ANOVA, just use an asterix (*) instead of the plus (+) between the terms in your formula. Note that when you include an interaction term in a regression object, R will automatically include the main effects as well/
Let’s repeat our previous ANOVA with two independent variables, but now we’ll include the interaction between cleaner and type. To do this, we’ll set the formula to time ~ cleaner * type
.
# Step 1: Create ANOVA object with interactions
cleaner.type.int.aov <- aov(formula = time ~ cleaner * type,
data = poopdeck)
# Step 2: Look at summary table
summary(cleaner.type.int.aov)
## Df Sum Sq Mean Sq F value Pr(>F)
## cleaner 2 6057 3028 7.82 0.00044 ***
## type 1 81620 81620 210.86 < 2e-16 ***
## cleaner:type 2 29968 14984 38.71 < 2e-16 ***
## Residuals 594 229923 387
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Looks like we did indeed find a significant interaction between cleaner and type. In other words, the effectiveness of a cleaner depends on the type of poop it’s being applied to. This makes sense given our plot of the data at the beginning of the chapter.
To understand the nature of the difference, we’ll look at the regression coefficients from a regression object:
# Step 4: Calculate regression coefficients
cleaner.type.int.lm <- lm(formula = time ~ cleaner * type,
data = poopdeck)
summary(cleaner.type.int.lm)
##
## Call:
## lm(formula = time ~ cleaner * type, data = poopdeck)
##
## Residuals:
## Min 1Q Median 3Q Max
## -54.28 -12.83 -0.08 12.29 74.87
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 45.76 1.97 23.26 < 2e-16 ***
## cleanerb 8.06 2.78 2.90 0.00391 **
## cleanerc 10.37 2.78 3.73 0.00021 ***
## typeshark 40.52 2.78 14.56 < 2e-16 ***
## cleanerb:typeshark -16.96 3.93 -4.31 1.9e-05 ***
## cleanerc:typeshark -34.62 3.93 -8.80 < 2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20 on 594 degrees of freedom
## Multiple R-squared: 0.338, Adjusted R-squared: 0.333
## F-statistic: 60.8 on 5 and 594 DF, p-value: <2e-16
Again, to interpret this table, we first need to know what the default values are. We can tell this from the coefficients that are ‘missing’ from the table. Because I don’t see terms for cleanera
or typeparrot
, this means that cleaner = "a"
and type = "parrot"
are the defaults. Again, we can interpret the coefficients as differences
between a level and the default. It looks like for parrot poop, cleaners b and c both take more time than cleaner a (the default).
The interaction terms tell us how the effect of cleaners changes
when one is cleaning shark poop. The negative estimate (-16.96) for cleanerb:typeshark
means that cleaner b is, on average 16.96 minutes faster
when cleaning shark poop compared to parrot poop. Because the previous estimate for cleaner b (for parrot poop) was just 8.06, this suggests that cleaner b is slower
than cleaner a for parrot poop, but faster
than cleaner a for shark poop. Same thing for cleaner c which simply has stronger effects in both directions.


Nom de Bébé’s Privacy Policy
The only data from this app that I store is a list of your favourite names associated only to your sharing code presented in the app—this data is 100% anonymized from the beginning and is only stored for the sole purpose of facilitating partner name sharing. I don’t use any third-party services that store or access your data (apart from the app store that you downloaded the app from).
Nom de Bébé purposely does not include any tracking code, advertising code, or even bug reporting code. It simply isn’t there—you can check the source code for yourself if you don’t believe me, or even take it a step further and compile the source and run the binary without ever touching my binaries. I don’t collect your email address, or any other such identifiable data. The only data available to the Nom de Bébé app is data that you either input directly yourself, or generate through use of the app. Nom de Bébé collects and generates the following data, and only the following data:
- Liked names
- Disliked names
- Ranking of liked names
- Application setttings
With the exception of a ranked list of your favourite names associated to an anonymous sharing code, all data collected and generated by the Nom de Bébé app remains solely in a database on your device until such time as you manually export the data, or some subset of it—in which case, the data you choose to export will be presented to the mobile operating system to be “shared” with whatever app you choose. At no point in this process do any third parties have access to this data, with the exception of the host operating system and the third party app to which you choose to export the data if you use the “export names” feature.
The ranked list of your favourite names is uploaded to a server I control through a secure (HTTPS) connection, and the data transmitted to and from this server is limited to:
- Requests for a new sharing code
- Ranked lists of names associated to sharing codes
There is no protection for your ranked favourite names other than the obscurity of your sharing code—if your sharing code is made public, anyone may read your list of favourite names. Do not share this code with anyone that you do not want to share the list with.
This policy is subject to change, however in the event of such a change, the Nom de Bébé app will notify you of:
- The intended changes
- The reason for the intended changes
- A date for when the intended changes will come into effect
If you have any questions about this policy, you can contact me at: kenton@hamaluik.ca.


models
package
models
Visibility
Public
All
Type Members
class
Consejo
extends
Model
class
Medicion
extends
Model
class
Medico
extends
Model
class
MedicoEnfermo
extends
Paciente
class
MedicoEspecialista
extends
Medico
class
MedicoTratante
extends
Medico
class
Paciente
extends
Model
class
Registro
extends
Model
class
Sensor
extends
Model
class
Urgencia
extends
Model
Ungrouped


{% extends "swimtheme/base.html" %} {% load wagtailimages_tags %} {% block content %} {% include "swimtheme/includes/intro.html" with intro=self.intro only %} {% if self.image %} {# Person image - first store image as a variable in order to construct an image tag with a class applied #} {% image self.image width-300 as photo %} {% endif %} {% if self.biography %}


The basic Tendina use case setup consists in 3 simple steps:

The markup must be formatted as an unordered list with links, like this:

Rock

Garage Rock

The Hives

Progressive Rock

King Crimson

Don't forget anchor tags!
Tendina uses them for DOM traversing, so don't forget to add them (even if they don't have any href).
// Wuzzah!
$('#my-menu').tendina()
We're done! Let's chill out for a sec now, it's been hard.
Tendina should work with most browsers, including IE7+ (it also depends from which jQuery you're using).
Tendina's purpose is to handle menu interactions in a simple, flexible way. As a result, Tendina comes with no styles at all – this means you don't need to override useless CSS classes, and you have total control on the styling of your menu.
Tendina comes with some options and methods that should make your life easier – here are some examples you could find interesting.
To see the full option and method list, head over to GitHub.
If you use Bower, you can install it from the command line:
$ bower install tendina
You can download Tendina packed as a .zip archive from here, or you can visit the GitHub project page and fork it.
Hit me up on Twitter or open an issue on GitHub.
Think something might be better than it is now, you feel something is missing or you just want to hack with some CoffeeScript?
You're welcome! fork Tendina on Github!


|
Distributed Trees
1
DistributedTreesPlaform
|
Go to the source code of this file.
Macros | |
| #define | VECTOR_AMOUNT 10 |
| #define | THRESHOLD_AMOUNT 10 |
| #define | TREE_AMOUNT 3 |
| #define | PROCESS_AMOUNT 3 |
| #define | TEST_IMAGES_AMOUNT 4 |
| #define | TRAIN_IMAGES_AMOUNT 999 |
| #define | LOG_VERBOSITY 6 |
| #define | NOTICED_TIME 7 |
| #define | THREAD_AMOUT 8 |
| #define | TRAINNING_METHOD 0 |
| #define | STOP_METHOD 10 |
| #define | SELECTION_METHOD 11 |
| #define | NODE_AMOUNT 4 |
| #define LOG_VERBOSITY 6 |
Referenced by rdf::Initializator::Initializator().
| #define NODE_AMOUNT 4 |
| #define NOTICED_TIME 7 |
Referenced by rdf::Initializator::Initializator().
| #define PROCESS_AMOUNT 3 |
Referenced by rdf::Initializator::Initializator().
| #define SELECTION_METHOD 11 |
Referenced by rdf::Initializator::Initializator().
| #define STOP_METHOD 10 |
Referenced by rdf::Initializator::Initializator().
| #define TEST_IMAGES_AMOUNT 4 |
Referenced by rdf::Initializator::Initializator().
| #define THREAD_AMOUT 8 |
| #define THRESHOLD_AMOUNT 10 |
Referenced by rdf::Initializator::Initializator(), and rdf::Task::Task().
| #define TRAIN_IMAGES_AMOUNT 999 |
Referenced by rdf::ImageDispatcher::assignRanges(), and rdf::Initializator::Initializator().
| #define TRAINNING_METHOD 0 |
Referenced by rdf::Initializator::Initializator().
| #define TREE_AMOUNT 3 |
Referenced by rdf::Initializator::Initializator(), and rdf::ForestManager::initializeForest().
| #define VECTOR_AMOUNT 10 |
Referenced by rdf::Initializator::Initializator(), and rdf::Task::Task().


ODT quiz: November 25 25 Nov 2019 Test your local and general knowledge by taking the Otago Daily Times quiz for Monday, November 25.


You can read the graphic card's capabilities using the com.jme3.renderer.Caps
class:
Collection<Caps> caps = renderer.getCaps(); Logger.getLogger(HelloWorld.class.getName()).log(Level.INFO, “Caps: {0}” + caps.toString());
Replace HelloWorld by the name of the class where you are using this line.
The result looks like the following example:
Caps: [FrameBuffer, FrameBufferMRT, FrameBufferMultisample, OpenGL20, ARBprogram, GLSL100, GLSL110, GLSL120, VertexTextureFetch, FloatTexture, TextureCompressionLATC]
This would tell you that this user's graphic card only supports OpenGL 2.0 and cannot handle newer OpenGL features.


@* * Copyright 2021 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 utils.ERSUtil @import config.ApplicationConfig @this(config: ApplicationConfig) @(requestObject: RequestObject)(implicit request: Request[AnyRef], messages: Messages, ersUtil: ERSUtil, appConfig: ApplicationConfig) @schemeId = @{requestObject.getSchemeId} @import views.html.templates._ @ers_main(title = messages("ers.start.page_title")) { @reference(requestObject.getPageTitle) @header(messages("ers_start.page_title", requestObject.getSchemeNameForDisplay))
@Html(ersUtil.getPageElement(schemeId, ersUtil.PAGE_START, "intro_para"))
@Html(messages("ers_start.help"))
@Html(messages("ers_start.you_need"))
@Html(messages("ers_start.cant_use"))
@Html(messages("ers_start.filesize"))
}


Ariana Grande celebrates Thanksgiving with both of her parents for the first time in 18 years
The singer was previously estranged from her father
by Kendra BeckerAriana Grande has revealed that she spent Thanksgiving with both of her parents for the first time in 18 years.
The singer’s dad Edward Butera split from her mother Joan Grande when she was just eight-year-old, and the singer has been vocal about their strained relationship in the past.
But Ariana reconnected with her father last year, and it looks like Edward and Joan have since settled their differences as they happily posed for photos together on Thursday.
Sharing a selfie with her mom and dad on her Instagram Story, Ariana wrote, “First Thanksgiving with both of my parents in 18 years!”
Back in 2014, the songstress admitted to falling out with her father, and said it was “one of the hardest things” she’s ever dealt with.
She told Seventeen magazine, “It’s private … it took me so long to be okay with it. The thing that got me there was embracing the fact that that I am made up of half my dad, and a lot of my traits come from him.”
“So much of me comes from my father, and for so long, I didn’t like that about myself. I had to accept that it’s okay not to get along with somebody and still love them,” she added.
But then last December, Ariana confirmed that she had reconciled with her dad, as she shared a photo of them FaceTimeing on Christmas Day.
Ariana shared the photo just weeks after she referenced her parents divorce in her hit single, ‘Thank U, Next’.
Lyrics in the song include: “One day I’ll walk down the aisle/ holding hands with my mama/ I’ll be thanking my dad ’cause she grew from the drama.”


nhlscrapi.scrapr package¶
Submodules¶
nhlscrapi.scrapr.nhlreq module¶
-
class
nhlscrapi.scrapr.nhlreq.
NHLCn
[source]¶ Bases:
object
Builds the URLs, makes the HTTP calls and retreives the raw HTML associated with various NHL report data. If an error occurs in the retrieval process, the error is recorded in
req_err
.-
event_summary
(game_key)[source]¶ Returns: raw HTML for the event summary report (ES) Return type: string
-
html_src
= None¶ The HTML source of the last NHL page requested.
-
req_err
= None¶ Error from the last HTTP request.
-
nhlscrapi.scrapr.reportloader module¶
-
class
nhlscrapi.scrapr.reportloader.
ReportLoader
(game_key, report_type='')[source]¶ Bases:
object
Base class for objects that load full reports. Manages html request and extracts match up from banner
Parameters: - game_key – unique game identifier of type
nhlscrapi.games.game.GameKey
- report_type – str, type of report being loaded. Must be a method of
NHLCn
-
game_key
= None¶ Game key being retrieved of type
nhlscrapi.games.game.GameKey
-
html_doc
()[source]¶ Returns: the lxml processed html document Return type: lxml.html.document_fromstring
output
-
matchup
= None¶ Fame meta information displayed in report banners including team names, final score, game date, location, and attendance. Data format is
{ 'home': home, 'away': away, 'final': final, 'attendance': att, 'date': date, 'location': loc }
-
parse_matchup
()[source]¶ Parse the banner matchup meta info for the game.
Returns: self
on success orNone
-
req_err
= None¶ Error from http request
- game_key – unique game identifier of type
nhlscrapi.scrapr.rtss module¶
-
class
nhlscrapi.scrapr.rtss.
PlayParser
(season=2015)[source]¶ Bases:
object
Interprets a single RTSS play by play table row, i.e. a single play. Constructs a dictionary of play features.
-
static
ColMap
(season)[source]¶ Returns a dictionary mapping the type of information in the RTSS play row to the appropriate column number. The column locations pre/post 2008 are different.
Parameters: season – int for the season number Returns: mapping of RTSS column to info type Return type: dict, keys are 'play_num', 'per', 'str', 'time', 'event', 'desc', 'vis', 'home'
-
build_play
(pbp_row)[source]¶ Parses table row from RTSS. These are the rows tagged with
<tr class='evenColor' ... >
. Result set containsnhlscrapi.games.playbyplay.Strength
andnhlscrapi.games.events.EventType
objects. Returned play data is in the form{ 'play_num': num_of_play 'period': curr_period 'strength': strength_enum 'time': { 'min': min, 'sec': sec } 'vis_on_ice': { 'player_num': player } 'home_on_ice': { 'player_num': player } 'event': event_object }
Parameters: pbp_row – table row from RTSS Returns: play data Return type: dict
-
static
-
class
nhlscrapi.scrapr.rtss.
RTSS
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load RTSS play by play game data
-
parse_plays
()[source]¶ Retreive and parse Play by Play data for the given
nhlscrapi.games.GameKey
Returns: self
on success,None
otherwise
-
parse_plays_stream
()[source]¶ Generate and yield a stream of parsed plays. Useful for per play processing.
-
plays
= None¶ List of plays loaded. See
PlayParser
for play data structure.
-
nhlscrapi.scrapr.rosterrep module¶
-
class
nhlscrapi.scrapr.rosterrep.
RosterRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load roster report from nhl.com. This is a base class and not intended to be used directly.
-
coaches
= None¶ Dictionary of coaches keyed home/away loaded
-
officials
= None¶ Game officials:
{ 'refs': { }, 'linesman': { } }
-
parse
()[source]¶ Retreive and parse Play by Play data for the given
nhlscrapi.games.game.GameKey`
Returns: self
on success,None
otherwise
-
parse_rosters
()[source]¶ Parse the home and away game rosters
Returns: self
on success,None
otherwise
-
parse_scratches
()[source]¶ Parse the home and away healthy scratches
Returns: self
on success,None
otherwise
-
rosters
= None¶ Rosters for both home and away. Data:
{ 'home/away': { num: { 'pos': '', 'name': '' } } }
-
scratches
= None¶ Dictionary of healthy scratches keyed home/away loaded
-
nhlscrapi.scrapr.toirep module¶
-
class
nhlscrapi.scrapr.toirep.
AwayTOIRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.toirep.TOIRepBase
Scrapes the home team TOI report
-
class
nhlscrapi.scrapr.toirep.
HomeTOIRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.toirep.TOIRepBase
Scrapes the home team TOI report
-
class
nhlscrapi.scrapr.toirep.
TOIRepBase
(game_key, rep_type)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Scrapes TOI reports. (home/away are same format).
-
by_player
= None¶ By player dictionary of shift summaries. The only events recorded per shift are
EventType.Goal
orEventType.Penalty
. Forperiod = 0
, the game totals are returned. Format is{ player_num: { 'player_name': { 'first': '', 'last': '' }, 'shifts': [ { 'shift_num': shift_num, 'period': period_num, 'start': start_time (elapsed) 'end': end_time (elapsed) 'dur': length_of_shift, 'event': event_enum_goal_or_penalty } ], 'by_period': { 'period': period_num, 'shifts': shift_count, 'avg': { 'min': min, 'sec': sec }, 'toi': { 'min': min, 'sec': sec }, 'ev_toi': { 'min': min, 'sec': sec }, 'pp_toi': { 'min': min, 'sec': sec }, 'sh_toi': { 'min': min, 'sec': sec } } } }
-
nhlscrapi.scrapr.faceoffrep module¶
-
class
nhlscrapi.scrapr.faceoffrep.
FaceOffRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load face-off comparison report from nhl.com
-
face_offs
= None¶ report in dictionary format
{ home/away: { player_nums: { 'name': name, 'pos': position, 'off/def/neut/all': { 'won': won, 'total': total }, 'opps': { basically same info as above. name, pos, and zone info of opponents } } } }
-
parse
()[source]¶ Retreive and parse Play by Play data for the given nhlscrapi.GameKey
Returns: self
on success,None
otherwise
-
nhlscrapi.scrapr.eventsummrep module¶
-
class
nhlscrapi.scrapr.eventsummrep.
EventSummRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load event summary report from nhl.com
-
by_team
= None¶ By player team summary.
Returns: dict of the form { 'home/away': { 'num': { 'pos': pos, 'name': { 'first': first, 'last': last }, 'g/a/p/pm/pn/pim/shifts/s/ab/ms/ht/gv/tk/bs': value 'fo': { 'won': won, 'tot': total }, 'toi': { 'tot/avg/pp/sh/ev': { 'min': mins, 'sec': secs } } } } }
-
face_offs
= None¶ Face off summary by strength.
Returns: dict of the form { 'home/away': { 'ev/pp/sh/tot': { 'won': goals, 'total': shots } }, } }
-
parse
()[source]¶ Retreive and parse Event Summary report for the given
nhlscrapi.games.game.GameKey
Returns: self
on success,None
otherwise
-
parse_away_by_player
()[source]¶ Parse by player info for away team.
Returns: self
on success,None
otherwise
-
parse_home_by_player
()[source]¶ Parse by player info for home team.
Returns: self
on success,None
otherwise
-
shots
= None¶ The shot summary by strength at the aggregate and detail level
Returns: dict of the form { 'home/away': { 'agg': { 'ev/pp/sh/tot': { 'g': goals, 's': shots } }, 'det': { '5v5/5v4/5v3/et c': { 'g': goals, 's': shots } } } }
-
nhlscrapi.scrapr.shotsummrep module¶
-
class
nhlscrapi.scrapr.shotsummrep.
ShotSummRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load shot summary report from nhl.com
nhlscrapi.scrapr.shootoutrep module¶
-
class
nhlscrapi.scrapr.shootoutrep.
ShootoutRep
(game_key)[source]¶ Bases:
nhlscrapi.scrapr.reportloader.ReportLoader
Retrieve and load shot summary report from nhl.com


Staff Management
Administrators
Administrators have the ability to access this page to add new staff members or remove current ones.
{% for superuser in superusers %}{{ superuser.first_name }} {{ superuser.last_name }} ({{ superuser.username }})delete
{% endfor %}Staff Members
Staff members have the ability to update, delete, and respond to petitions.
{% for staff_member in staff %}


GEOMS-TE-SONDE-002-points
Variables
The table below lists the variables that are present in the HARP product that results from an ingestion of GEOMS-TE-SONDE-002-points
data.
| field name | type | dimensions | unit | description |
|---|---|---|---|---|
| sensor_name | string | name of the sensor | ||
| site_name | string | name of the site at which the sensor is located | ||
| datetime | double | {time} | [days since 2000-01-01] | time of the measurement |
| latitude | float | {time} | [degree_north] | latitude |
| longitude | float | {time} | [degree_east] | longitude |
| pressure | float | {time} | [hPa] | pressure measurement from PTU sonde |
| pressure_uncertainty | float | {time} | [hPa] | 1 sigma uncertainty estimate of the pressure measurement |
| geopotential_height | float | {time} | [m] | calculated sonde GPH |
| geopotential_height_uncertainty | float | {time} | [m] | 1 sigma uncertainty estimate of the altitude measurement |
| temperature | float | {time} | [K] | temperature measurement from PTU sonde |
| temperature_uncertainty | float | {time} | [K] | 1 sigma uncertainty estimate of the temperature measurement |
| relative_humidity | float | {time} | [%] | relative humidity from PTU sonde |
| relative_humidity_uncertainty | float | {time} | [%] | 1 sigma uncertainty estimate of the relative humidity |
| O3_partial_pressure | float | {time} | [mPa] | in situ partial pressure |
| O3_partial_pressure_uncertainty | float | {time} | [mPa] | 1 sigma uncertainty estimate of the partial pressure |
| O3_volume_mixing_ratio | float | {time} | [ppmv] | calculated in situ ozone volumetric mixing ratio from ozone sonde |
| O3_number_density | float | {time} | [molec/m3] | calculated in situ ozone number density from ozone sonde |
| wind_speed | float | {time} | [m/s] | wind speed from instrument package |
| wind_direction | float | {time} | [degree] | wind direction from instrument package |
| potential_temperature | float | {time} | [K] | calculated in situ potential temperature from sonde |
| h2o_volume_mixing_ratio | float | {time} | [ppmv] | calculated in situ water vapor volumetric mixing ratio from sonde |
| index | int32 | {time} | zero-based index of the sample within the source product |
Ingestion options
The table below lists the available ingestion options for GEOMS-TE-SONDE
products.
| option name | legal values | description |
|---|---|---|
| profile | false | whether to ingest the sonde profile as a vertical profile (default) or as a timeseries of points (profile=false) |
This definition is only applicable when: profile=false
Mapping description
The table below details where and how each variable was retrieved from the input product.
| field name | mapping description | |
|---|---|---|
| sensor_name | path |<EMAIL_ADDRESS>|
| site_name | path |<EMAIL_ADDRESS>|
| datetime | path | /DATETIME |
| latitude | path | /LATITUDE |
| description | if the latitude is a scalar it is replicated for each profile point | |
| longitude | path | /LONGITUDE |
| description | if the longitude is a scalar it is replicated for each profile point | |
| pressure | path | /PRESSURE_INSITU |
| pressure_uncertainty | path | /PRESSURE_INSITU_UNCERTAINTY.COMBINED.STANDARD |
| geopotential_height | path | /ALTITUDE.GPH |
| geopotential_height_uncertainty | path | /ALTITUDE.GPH_UNCERTAINTY.COMBINED.STANDARD |
| temperature | path | /TEMPERATURE_INSITU |
| temperature_uncertainty | path | /TEMPERATURE_INSITU_UNCERTAINTY.COMBINED.STANDARD |
| relative_humidity | path | /HUMIDITY.RELATIVE_INSITU |
| relative_humidity_uncertainty | path | /HUMIDITY.RELATIVE_INSITU_UNCERTAINTY.COMBINED.STANDARD |
| O3_partial_pressure | available | optional |
| path | /O3.PARTIAL.PRESSURE_INSITU | |
| O3_partial_pressure_uncertainty | available | optional |
| path | /O3.PARTIAL.PRESSURE_INSITU_UNCERTAINTY.COMBINED.STANDARD | |
| O3_volume_mixing_ratio | available | optional |
| path | /O3.MIXING.RATIO.VOLUME_INSITU | |
| O3_number_density | available | optional |
| path | /O3.NUMBER.DENSITY_INSITU | |
| wind_speed | available | optional |
| path | /WIND.SPEED_INSITU | |
| wind_direction | available | optional |
| path | /WIND.DIRECTION_INSITU | |
| potential_temperature | available | optional |
| path | /POTENTIAL.TEMPERATURE_INSITU | |
| h2o_volume_mixing_ratio | available | optional |
| path | /H2O.MIXING.RATIO.VOLUME_INSITU |


| Soul |
Orange |
Allows the user to steal, control, manipulate, and alter living and dead souls; as well as animate the motionless. The Soul Gem also acts as a gateway to an idyllic pocket universe. At full potential, when backed by the Power Gem, the Soul Gem grants the user control over all life in the universe. |
|
| Time |
Green |
Allows the user to see into the past and the future; stop, slow down, speed up or reverse the flow of time; travel through time; change the past and the future; age and de-age beings, and trap people or entire universes in unending loops of time. At full potential, when backed by the Power Gem, the Time Gem grants the user omniscience and total control over the past, present, and future. |
|
| Space |
Blue |
Allows the user to exist in any location; move any object anywhere throughout reality; warp or rearrange space; teleport themselves and others; increase their speed, and alter the distance between objects contrary to the laws of physics. At full potential, when backed by the Power Gem, the Space Gem grants the user omnipresence. |
|
| Mind |
Yellow |
Allows the user to enhance their mental and psionic abilities and access the thoughts and dreams of other beings. At full potential, when backed by the Power Gem, the Mind Gem can access all minds in existence simultaneously. The Mind Gem is also the manifestation of the universal subconscious. |
|
| Reality |
Red |
Allows the user to fulfill their wishes, even if the wish is in direct contradiction with scientific laws, and do things that would normally be impossible. At full potential, when backed by the other five Gems, the Reality Gem allows the user to alter reality on a universal scale and also create any type of alternate reality the user wishes. |
|
| Power |
Purple |
Allows the user to access and manipulate all forms of energy and/or powers; i.e. enhancing their physical strength and durability; augment any superhuman ability; and boost the effects of the other five Gems. At full potential, the Power Gem grants the user omnipotence. |
|


{% extends '_base.html' %} {% block title %}500 - Server Error{% endblock title %} {% block content %}
An error has occurred on the server.


The 'Magic' of Mushrooms. How Shoud I?
Mushrooms- P. cubensis
A friend first made me aware of the nature of magic mushrooms and what he thought it was like to take a trip, although he found it very hard to put into words. He explained the chemicals involved and how mushrooms differed from 'narcotic' drugs like cocaine and heroin and LSD, and even compared to caffeine, alcohol and paracetemol. I stay well clear of anything that rots my body, but I have tried cocaine twice, and hash a few times but in such small quantities that it's hardly worth mentioning. I could never be classed as a 'user' of any drug.
I am a cautious person and was extremely wary about taking a trip on mushrooms. Quite simply, I was scared. What little I knew, before my friend explained things, had encouraged me to think I would mess up my mind and end up a lunatic - this is about as far from the truth of my experience as you can get.
My friend also encouraged me to read up all I could about mushrooms for myself, do my own research, not let him influence my decision making. I needed to understand so I wouldn't be scared, and I needed to understand what the chemicals would do to my body, and the cultural history of native peoples surrounding their use. Once I had educated myself I lost most of my fear and decided to take the plunge. This approach was the key to my success, and it might be the key to yours, but you have to find out for yourself.
It was essential to take the mushrooms in the right surroundings and atmosphere. I was at home, in my bedroom, and had spent the last half hour relaxing, listening to a little music and generally not doing anything to make me stressed.
It was a Saturday night and psychologically I usually felt good about Saturday nights. I was home alone too and knew I would not be disturbed in any way. I needed to prepare myself fully for this undertaking so I was quite serious about getting the setting right because my friend had explained the importance of my mindset BEFORE I took a trip. Since I was only taking a low dose then my frame of mind and surroundings could deeply influence the nature of my trip. I wanted a good trip so I made certain to set things up in a way that I was totally comfortable with.
I had eaten a full meal at 6 and now it was 9. I took the 2 gram dose of mushrooms in a cup of tea and went upstairs to lay on my bed. I waited about 20 minutes and then things started to happen. I got up and looked out of my window. I could see the lights of my city twinkling in the distance. All of my senses were hyper alert and I could hear the music as if the band were playing inside me, not just in my room but inside me. I was the music. I know it sounds cheesy but that's what it felt like. I heard every drumbeat, every vocal, every strum of the guitar and beat of the drum as though it were alive. Well, it was alive.
I kept looking out the window and saw the lights pulsing and vibrating and in colours that are simply inexplicable - I like to say I was seeing the world as it really is.
I didn't lose my ego or anything like that but I did get a complete and utter sense of connection - for the first time in my entire life I felt like I was a part of the world and connected to everything else in it. Integrated, harmonised and synergy are three good words to liken the experience to. And it wasn't scary. It was fantastic and gave me such an immense feeling of being alive that I cried.
And that was only 2 grams.
I then followed the same set up as before and progressed up to a 5 gram dose. I did this over the space of a year and I only did it when I felt absolutely happy to do so. I never ever took any mushrooms when I felt low or stressed or in a negative mindset.
My 3 gram dose was similar to the 2 gram trip mentioned above but even more intense, but not 'stressful' intense, alive intense. It's difficult to describe if you haven't experienced it. But the main difference with this trip and the first was that my ego was seriously fighting the 'letting go' that occurs when you ingest psylocibin. I had taken enough to tell my ego that it was no longer in charge and would soon be left at the door. Needless to say it didn't like this and it fought for control - which is a hazzard of not taking enough psylocibin.
But when I took my 5 gram dose, again under the same circumstances as the previous two trips, I had the most amazing experience ever. I was listening to music and laying on my bed naked. I lost all feeling of gavity but not direction. When I danced I was harmonised with the music, I was at one with it and vice versa.
I saw the music take on geometric form and morph with the music. It also took on colours that, again, were so beautiful I cannot describe them. And then other shapes started to mingle and present themselves to me, a snake, a human, a lattice framework - I believe the real world was opening up to me.
There was no 'I', my ego had completely disappeared. 'I' wasn't in 'control', and I think you have to take mushrooms at 5 grams or more to truly understand what that feels like because it wasn't scary, it was love, and existence on a plane and in a dimension so integrated with the earth and space, that I now think this is our true evolutionary goal. We are in gestation. We are here to evolve, learn and transcend our ego dominated world and enter a higher vibrational existence.
'Coming down' wasn't painful either. I felt tired and a little low for the next few days, but I also felt more alive than I have ever done before. And the 'low' was nowhere near as bad as the hangovers I used to get when I got drunk on beer.
In short, if you're thinking about taking mushrooms work your way up in dosage from 2,3,4 and then 5: spend time relaxing before you do them and do them in an environment you are 100% comfortable with. And do them if and when you are ready. Educate yourself about the chemical content and affects too.

This approach worked for me, maybe it will work for you, but that is your decision. Do not feel pressured into doing it or as though you should. It's not for everyone.
Mushrooms are not a party drug and there to 'get high' on. In my opinion they are there to open you up to how the world really is.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Cong-NCP-Sena govt to be formed in Maharashtra before Dec 1: Sanjay Raut
He also informed that three parties will collectively decide about power-sharing in Mumbai.
by ANINew Delhi: Shiv Sena leader Sanjay Raut on Thursday exuded confidence that NCP, Congress, and his party will form government in Maharashtra before December 1 and once again asserted that the chief minister will be from Sena.
He also informed that three parties will collectively decide about power-sharing in Mumbai.
"The time has come, before December 1 the process of formation of the government will be over and the Chief Minister will also be decided. Till yesterday, marathon meetings of Congress-NCP were held here at the NCP Chief Sharad Pawar's residence. In the next two days we will move ahead towards government formation," said Sanjay Raut.
"The three parties will collectively decide on power-sharing in Mumbai," he added.
"The chief minister will be of Shiv Sena. People want Uddhav Thackeray to be the Chief Minister," said Raut.
A meeting of Congress and Nationalist Congress Party (NCP) leaders was held at NCP chief Sharad Pawar's residence on Wednesday over the government formation in Maharashtra.
Leaders from both the parties were present including Ahmed Patel, KC Venugopal, Mallikarjun Kharge, Jairam Ramesh, Supriya Sule among others.
Maharashtra came under President's Rule after all the parties failed to form a government in the state.
BJP, which emerged as the single largest party, could not stake claim to form a government as its ally Shiv Sena remained firm on rotating the chief minister's post and equal sharing of Cabinet berths.
Shiv Sena parted its ways with BJP only to explore ways to form a government. It, however, failed to prove the support of the required number of MLAs in the time given by Governor BS Koshyari.
The Governor had then invited NCP, the third-largest party, to prove its ability to form the government failing which President's Rule was imposed in the state.
The Shiv Sena is now in parleys with the Congress and NCP to form a government in the state.
The BJP won 105 seats in the 288-member assembly followed by Shiv Sena 56, NCP 54 and Congress 44.
Catch the latest news, live coverage and in-depth analyses from India and World. Follow us on Facebook and Twitter.


---
layout: page
title: Acknowledgements
categories: []
tags: []
status: publish
type: page
published: true
meta:
_wp_page_template: default
author:
---
Here are a few people , I think , who really helped me improve my coding skills.
- Anshuman Ansu helped me get started with uvaonlinejudge . I had tried the same twice earlier but with a little success. With his help , I first started using dev-C++ instead of the turboC compiler (which was a really boring one and that is why it finds a mention here !!) next, i submitted my first solution to a uva question , which I think was a really big leap into the programming world for me . I owe a lot to uva and therefore anshu as well . He also helped me get an internship at IIT Bombay where for the first time I could understand how software development is a lot different compared to online coding :)
- Sujeet Kumar : I think it will take a very long time (a no of pages :P) for me to write how much he helped me grow as a programmer. It was with his guidance , I got introduced to some excellent references for coding/algo etc.. . Not to forget the video lectures ( I love them.)
- Gagandeep Singh helped me understand each and every line of ritchie's book - The C Programming Language , which I personally think every programmer must have read , and Test UR C skills by Yashwant Kanitkar .
- Neha Singh has edited so many codes of mine . Its really a tough job (n irritating for me :P) .
- Mayank Kumar , Manish Kumar , Abhishek Anand , Shashidhar sundareshian ,Gourab Mitra ,Aayush Kumar etc .. who are all my friends at college and we discuss some codes among ourselves .
- Trust me there are a lot more ...... But this is all I can remember right now ......


Messages created with the scripts managed via the admin interface
AttachmentConfiguration |
A simple attachment file. data class AttachmentConfiguration : MessageConfiguration |
ChoiceConfiguration |
A user choice. data class ChoiceConfiguration : MessageConfiguration |
LocationConfiguration |
User location data. data class LocationConfiguration : MessageConfiguration |
MessageConfiguration |
interface MessageConfiguration |
SentenceConfiguration |
Could be a simple text, or a complex message using ConnectorMessage constructor. data class SentenceConfiguration : MessageConfiguration |
SentenceElementConfiguration |
An aggregation of Messages used in SentenceConfiguration. This a usually "generic" view of ConnectorMessage. data class SentenceElementConfiguration |
SentenceSubElementConfiguration |
data class SentenceSubElementConfiguration |


Different HTML Form Elements
This form demonstrates the behavior of various HTML form elements
This demo uses the
winxp theme
.
You can make textarea and upload fields required.
You can designate an upload area to accept only zip files (.zip extension).
You can require user to make a selection from a dropdown menu.
input type="text"
input type="file"
input type="file"(zip archive only)
select
--select--
<20
20-40
40-60
>60
textarea
input type="radio" (choose any option)
option 1
option 2
option 3
input type="checkbox" (check at least one)
option 1
option 2
option 3
This page uses an
AJAX Component
- Zapatec DHTML Form Widget, but your browser does not support Javascript.


Root folder name
Edit
Cancel
Save
Tab Groups
Add-On
To import the settings from the
Tab Groups
Add-On, go to it's preferences panel, choose "Create Backup File" and paste the file's content above.
Import
Importing...
Dismiss


About Our Resturent
Salmon Cookies stores offers many types of chocolate and raspberry flavours that is made locally through our store. we have mnay branches in all over the world , we are very glad if you visit us
locations and addresses,
- Seattle
- Tokyo
- Dubai
- Paris
- Lima


We are a group of programmers who met through a Trilogy coding bootcamp at Washington University in St. Louis. Although we have different skills and backgrounds, we all enjoyed the challenges posed by this project. Our team's task delegation allowed us to build the front and backend of our application simultaneously, so we could come together at the end to focus on the finishing visual aspects. Thank you so much to Moment Js, Aztro API, the daily quotes API, Kat, and Mim for aiding us in the creation of our inspiration horoscope website. If you have any questions about our project, work, or future endeavors, please follow the links below.


You work for the cyber security division of a government agency.
A digital currency mining malware, which takes advantage of an OS vulnerability, is loose across the world causing all kind of mayhem.
The malware spreads through a flaw in a well-known network protocol but initially is being distributed via malicious e-mail attachments.
Your task is to investigate the malware Command and Control infrastructure and if possible dismantle it from the source in order to prevent further damage
to millions of devices worldwide.
You don’t have time to wait for the service provider, you must hack into the service on your own and send the stop command
to millions of bots worldwide.
Luckily hackers are not very much into secure coding, so there are many OWASP Top 10 vulnerabilities that you can take advantage of.
Each exploit that you do will give you additional information and bring you closer to the end goal.
You have an older version of the malware executable which you can download at the play link.
This older version has been deactivated using a kill switch so you can’t figure out the address of the CnC just by intercepting network traffic.
You have to reverse the code. It is a Windows .Net application so you can decompile it easily.
Once you decompile it you can analyze the code to figure out where to get started.
You don't absolutely need a decompiler, you can just use the strings
linux command, and see what strings your can find and how they are 'encoded'.
Install the following if you don't have them already:
- DotPeek from JetBrains (Windows) - optional
- Bash or Git Bash
- NodeJS
- VS Code - optional
- OWASP ZAP Proxy or if you prefer Burp or Postman
- OpenSSL
- Ysoserial (pen-test tool for deserialization attacks)
Public S3 buckets have been in the news a lot. The obvious misconfiguration in this case is that they were made public instead of being protected. The Security Misconfiguration category includes many other flaws such as left over test accounts, default credentials or incorrect file system permissions.
Attackers will often attempt to exploit unpatched flaws or access default accounts, unused pages, unprotected files and directories, etc to gain unauthorized access or knowledge of the system.
After decompiling the malware you will find that each bot registers with the CnC by putting a message into a S3 bucket.
The hackers are not so naive to leave their S3 buckets public. However they have chosen to build some quick online services using API Gateway
S3 integrations. They simply followed the tutorial on integrating API Gateway with S3 located at this link:
Create an API as an Amazon S3 Proxy.
However they did not implement bucket permissions and have inadvertently gave their API access to ALL the S3 buckets.
View the 'secret' file that was left around in the message bucket to pass this challenge. What else can you see in there :)?


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Saravana catering
Menu
Welcome Services
Arrangements
High lights
Food Menus
Contact
Saravana catering
Started by Mr.Vadivel Gandhi
Saravana catering started by Mr.Vadivel Gandhi on 2005 in the land of “Tamirabarani” river tamirabarani water naturally sweet and soft. We caterers cook all foods in this soft water land Tirunelveli is famous for paddy field nellai’s rice is also very tasty for your taste buds. Saravana Catering entered in to this catering service to satisfy customer’s taste buds with Veg. and Non-Veg. food items.
Welcome services
Mangala Vadhyam
Double set of Nadaswaram (two nadhaswarams and two thavils) will be arranged for the entire session of :
WELCOMING THE BRIDE, BRIDEGROOM, VIRATHAM, NISHCHAYATHARTHAM, MUHURTHAM AND, KATTUSADAKOODAI...
Maalai and Flowers
Garlands for the bride and bridegroom, reception, nishchayathartham, muhurtham will be arranged apart from
SWAMY MALAI, PEN VARAVERPU MAALAI, MAPPILAI VARAVERPU MAALAI, VIRADHA MAALAI, NITCHAYATHARTHA MAALAI, MUHURTHA MAALAI, MATRU MAALAI, JADAI, VADHYAAR PUSHPANGAL, UDHIRI PUSHPANGAL, RECEPTION MAALAI, KAICHENDU, THALAIKU PUSHPANGAL, WELCOME ROSE...
Kolam
Kolam drawings will be arranged for the following places:
OUTSIDE THE MARRIAGE HALL, ROOMS OF THE BRIDE AND BRIDEGROOM, PLATFORM WHERE THE FUNCTION WILL BE HELD, OONJAL (SWING) TWO LADIES WILL BE AVAILABLE FOR THE ENTIRE FUNCTION – ONE EACH FOR THE BRIDE AND THE BRIDEGROOM’S FAMILY TO HELP WITH THE FULFILLMENT/ARRANGEMENT OF ANY BASIC NEED.
Arrangements
Nishchayathartha Arrangements
Things for the nishchayathartham (evening prior to the muhurtham):
FIVE TYPES OF FRUITS NEATLY PACKED, FOUR TYPES OF DRY FRUITS, TURMERIC (MANJAL KIZHANGU), TURMERIC POWDER, VERMILLION (KUM KUM), BETEL LEAF AND NUT, COCONUT WILL BE ARRANGED...
Coffee Stall
MILK,
COFFEE DECOCTION,
SUGAR,
TEA BAGS,
SUGAR SUBSTITUTE TABLETS,
HORLICKS AND BOOST WILL BE AVAILABLE FOR 24 HOURS...
Fresh juice
Fresh juice of fruits (seasonal) will be provided with or without sugar (diabetic friendly). Only RO water ice cubes will be used for juices.
Angumani (provisions) materials
All the materials for angumani presentation will be arranged in stainless steel containers.
MANJAL PODI, RICE 15KG, THUVARAM PARUPPU, ULUTHAM PARUPPU, KADALA PARUPPU, PAYATHAM PARUPPU, COFFEE POWDER, APPALA(MEDIUM), VELLAM, SUGAR, CASHEWNUT, DRY GRAPES, ELAKKAI, VADAM, ANJARA PETTI, AKHROOT, BADHAM, PISTHA...
Vaideegam related articles
Things as required by the sastrigal for the function will be arranged
MANJAL PODI, RICE, COCONUT, GHEE, THUVARAMPARUPPU(NANTHI), FLOWERS, CHAMPHOR, MATCH BOX, VETRILAI, SEEVAL, SUNNAMBU, MANJAL KIZHANGU, DIAMOND KARKANDU, SUGAR, BANANA, NEL, NEL PORI, UMI, IDHAYAM NALLENNAI, SANDAL, HONEY, NAVADHANIYAM, THIRINOOL, KUNKUMAM, NOOLKANDU, PANEER BOTTLE, VAZHAKKAI (BIG), VAZHA ELAI, VARATTI, SIRAI (VIRAGU SULLI), POT - 1 NO, MADAKKU (SMALL) - 6 NOS, PALIGAI KINNAM - 10 NOS, MADAKKU (BIG) - 4 NOS, VELLAM, MILK, CURD, KAAVI, VISIRI, KALIPAKKU ...
Seer bakshanam
Seer bakshanam
All the sweets and savouries as per the list will be arranged. Pure ghee will be used for preparing sweets. Double refined oil will be used for savouries.
BRIDEGROOM
7 SUTRU MURUKKU - 51,
MULLU THEN KUZHAL - 51,
ADHIRASAM(BIG) - 51,
GHEE MYSORE PAK - 51,
LADDU(BIG) - 51,
THIRATTIPAL - 3,
VIRATHA APPAM - 21...
BRIDE
7 SUTRU MURUKKU - 51,
MULLU THEN KUZHAL - 51,
ADHIRASAM(BIG) - 51,
GHEE MYSORE PAK - 51,
LADDU - 51....
PARUPPU THENGAI
MANOHARAM (VIRADHAM) - 1 JODI, MYSORE PAK (MUHURTHAM) - 1 JODI, LADDU (NISCHAYATHARTHAM) - 1 JODI,THENGAI BARFEE (GRAHAPRAVESAM) - 1 JODI, CASHEWNUT (NEPHTALS) - 1 JODI, VERKADALAI/POTTUKADALAI (ASEERVADAM) - 5 NOS ...
Pattu pai (silky mat)
Pattu pai will be presented interwoven with the names of the bride and the bridegroom and the date of marriage.
Kasi yatra requirements
For the kasi yatra,
UMBRELLA, WALKING STICK, BOOK, KASI YATRA THUNDU (TOWEL), RICE AND DHAL, JAGGERY, COCONUT, TURMERIC (MANJAL KIZHANGU) WILL BE ARRANGED....
Mapillai kit
A complete set of toiletrie
Other service
High Lighted Services
After the cooking, the dishes will be transferred to hot cases so that food is always served hot.
In order to facilitate second helping of guests, food items will be brought in a trolley.
Kumbakonam betel leaves, Rashiklal supari, seeval, tooth pick and tissue paper will be provided as per the photo.
VCS will arrange CCTV cameras in the kitchen and the dining area for monitoring from our office, for a better service.
Service on Request
Buffet
Water Bottle
Frill
Bommai Set
Tamboola Bag
Special Stall
TATOO,
NAIL ART,
BEATS MAKING,
KEY CHAIN PORTRAIT,
BALOONSCULP,
CUP PORTRAIT,
MAKE UP SET...
Other Services
Photo & Video
Carnatic Light Music
Chariot,
Sangeeth,
Dhandiya
Decoration
Marriage Registration
Party Arrangement
Arrangement by Party at House
Sandals for the bridegroom,
Plaintain tree,
Brass vessels for pachaipadi : oonjal,
Kamatchi vilaku – 1,
Sombu (brass) – 2,
Brass mysore vanai (arukkan chatty) -1,
Thambalam -2,
Panchapatram and uthrani,
Dhothies,
Photographer and Videographer...
Arrangement by Party at Mandapam
Name Board,
Welcome Arch,
Muhurtham Medai Alangaram,
Vaazhai Maram,
Reception Stage Decoration,
Oonchal Decoration,
Nephtals Room Decoration...
Saravana’sTrendy & Traditional Menus
We are quality conscious and only genuine provisions will be used.
Vanaspathi(dalda), ajinomoto or any type of chemical soda will not be used.
Cooking is done using SVS refined oil and mineral water.
Services
Each bearer who serves food will be in uniform with hand gloves and head cap.
Different sets of uniform will be used for different sessions with the uniform colour for reception matching the theme colour (dress colour of the couple, back drop and the invitation card).
Food will be served only when the seats are occupied.
Two supervisors will be appointed for each row to evince personal attention.
Morning Breakfast items
MENU 1
IDLI-3,
PONGAL OR BOORI,
KESARI OR BREAD HALWA,
ULUNDHU VADAI,
COFFEE,
CHATNEE,
SAMBAR.
MENU 2
IDLI-2,
RAVABATH,
IDIYAPPAM,
KESARI,
ULUNDHU VADAI,
COFFEE,
CHATNEE,
SAMBAR.
MENU 3
UTHAPPAM-2,
BOORI-KIZANGU,
KESARI,
ULUNDHU VADAI,
COFFEE,
CHATNEE,
SAMBAR.
Noon Lunch items
MENU 1
AVIYAL,
KADAMBAPORIYAL,
VENDAIKAI PACHCADI,
SAMBAR,
RASAM,
VATHAKUZAMBU,
MILKPAYASAM,
BUTTER MILK,
APPALAM,
PICKLES.
MENU 2
RICE,
AVIYAL,
POTATOPORIYAL,
THADIYANGAIKOOTU,
SENAICHAPS,
SAMBAR,
RASAM,
VATHAKUZAMBU,
ADAIPAYASAM,
BUTTER MILK,
APPALAM,
PICKLES,
ICE-CREAM.
MENU 3
RICE,
VEG-BRIYANI / CHAPPATI,
MINI-VADAI,
SWEET, AVIYAL, KADAMBAPORIYAL,
POTATO KURUMA,
KALIFLOWER BAKODA,
SAMBAR, RASAM, VATHAKUZAMBU,
PRTHAMA PAYASAM,
BUTTER MILK, APPALAM, PICKLES, ICE-CREAM, BANANA, BEEDA.
Dinner items
MENU 1
KALKANDUSADAM,
CHAPPATI-2,
KURUMA,SAMBAL,
IDIYAPPAM-2,
SODHI,
CURD RICE,
PICKLES,
BADAMMILK.
MENU 2
SEMIYA KESARI,
BAROTA-2,
KURUMA,SAMBAL,
PODIUTTAPP-2,
CHATTNI,
SAMBAR,
CURD RICE,
PICKLES,
ICE-CREAM.
MENU 3
BREAD HWLWA,
KOTTU OR CHILLI BAROTA,
IDIYAPPAM OR UTAPPAM,
SODHI OR CHATNEE/SAMBAR,
SEMIYA CURD SEVAI,
PICKLES,
ICE-CREAM OR BADAM MILK .
MENU 4
VEG BIRIYANI,
SAMBAL,
CURD RICE,
PICKLES,
BADAM MILK.
MINI 50 MEMBERS
WATER BOTTLE,
SUPPLIERS,
MINERALWATER,
AUTO RENT EXTRA.
Contact Information
SARAVANA CATERING
Door number : No,14,
Street : POLICE COLONY,TIRUCHENDOOR ROAD,
City : PALAYAMKOTTAI,
Dist : Tirunelveli.
PHONE NO : 0462-2576058 / MOBILE:<PHONE_NUMBER>
Thank you ...