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3 writes to _isResolved
System.Management.Automation (3)
FormatAndOutput\common\Utilities\Mshexpression.cs (3)
79
_isResolved
= isResolved;
156
ex.
_isResolved
= true;
261
ex.
_isResolved
= true;
1 reference to _isResolved
System.Management.Automation (1)
FormatAndOutput\common\Utilities\Mshexpression.cs (1)
145
if (
_isResolved
)


Process Invoice
Below You can process your invoice, upload at most 3 invoices in order to avoid exhaustion.
Note: Processing may take time so be patient. Cheers!


NumPy Environment SetupNumPy doesn't come bundled with Python. We have to install it using the python pip installer. Execute the following command. It is best practice to install NumPy with the full SciPy stack. The binary distribution of the SciPy stack is specific to the operating systems. WindowsOn the Windows operating system, The SciPy stack is provided by the Anaconda which is a free distribution of the Python SciPy package. It can be downloaded from the official website: https://www.anaconda.com/. It is also available for Linux and Mac. The CanoPy also comes with the full SciPy stack which is available as free as well as commercial license. We can download it by visiting the link: https://www.enthought.com/products/canopy/ The Python (x, y) is also available free with the full SciPy distribution. Download it by visiting the link: https://python-xy.github.io/ LinuxIn Linux, the different package managers are used to install the SciPy stack. The package managers are specific to the different distributions of Linux. Let's look at each one of them. UbuntuExecute the following command on the terminal. RedhatOn Redhat, the following commands are executed to install the Python SciPy package stack. To verify the installation, open the Python prompt by executing python command on the terminal (cmd in the case of windows) and try to import the module NumPy as shown in the below image. If it doesn't give the error, then it is installed successfully.
Next TopicNumPy Ndarray
|
NumPy Environment SetupNumPy doesn't come bundled with Python. We have to install it using the python pip installer. Execute the following command. It is best practice to install NumPy with the full SciPy stack. The binary distribution of the SciPy stack is specific to the operating systems. WindowsOn the Windows operating system, The SciPy stack is provided by the Anaconda which is a free distribution of the Python SciPy package. It can be downloaded from the official website: https://www.anaconda.com/. It is also available for Linux and Mac. The CanoPy also comes with the full SciPy stack which is available as free as well as commercial license. We can download it by visiting the link: https://www.enthought.com/products/canopy/ The Python (x, y) is also available free with the full SciPy distribution. Download it by visiting the link: https://python-xy.github.io/ LinuxIn Linux, the different package managers are used to install the SciPy stack. The package managers are specific to the different distributions of Linux. Let's look at each one of them. UbuntuExecute the following command on the terminal. RedhatOn Redhat, the following commands are executed to install the Python SciPy package stack. To verify the installation, open the Python prompt by executing python command on the terminal (cmd in the case of windows) and try to import the module NumPy as shown in the below image. If it doesn't give the error, then it is installed successfully.
Next TopicNumPy Ndarray
|
NumPy Environment SetupNumPy doesn't come bundled with Python. We have to install it using the python pip installer. Execute the following command. It is best practice to install NumPy with the full SciPy stack. The binary distribution of the SciPy stack is specific to the operating systems. WindowsOn the Windows operating system, The SciPy stack is provided by the Anaconda which is a free distribution of the Python SciPy package. It can be downloaded from the official website: https://www.anaconda.com/. It is also available for Linux and Mac. The CanoPy also comes with the full SciPy stack which is available as free as well as commercial license. We can download it by visiting the link: https://www.enthought.com/products/canopy/ The Python (x, y) is also available free with the full SciPy distribution. Download it by visiting the link: https://python-xy.github.io/ LinuxIn Linux, the different package managers are used to install the SciPy stack. The package managers are specific to the different distributions of Linux. Let's look at each one of them. UbuntuExecute the following command on the terminal. RedhatOn Redhat, the following commands are executed to install the Python SciPy package stack. To verify the installation, open the Python prompt by executing python command on the terminal (cmd in the case of windows) and try to import the module NumPy as shown in the below image. If it doesn't give the error, then it is installed successfully.
Next TopicNumPy Ndarray
|
NumPy Environment SetupNumPy doesn't come bundled with Python. We have to install it using the python pip installer. Execute the following command. It is best practice to install NumPy with the full SciPy stack. The binary distribution of the SciPy stack is specific to the operating systems. WindowsOn the Windows operating system, The SciPy stack is provided by the Anaconda which is a free distribution of the Python SciPy package. It can be downloaded from the official website: https://www.anaconda.com/. It is also available for Linux and Mac. The CanoPy also comes with the full SciPy stack which is available as free as well as commercial license. We can download it by visiting the link: https://www.enthought.com/products/canopy/ The Python (x, y) is also available free with the full SciPy distribution. Download it by visiting the link: https://python-xy.github.io/ LinuxIn Linux, the different package managers are used to install the SciPy stack. The package managers are specific to the different distributions of Linux. Let's look at each one of them. UbuntuExecute the following command on the terminal. RedhatOn Redhat, the following commands are executed to install the Python SciPy package stack. To verify the installation, open the Python prompt by executing python command on the terminal (cmd in the case of windows) and try to import the module NumPy as shown in the below image. If it doesn't give the error, then it is installed successfully.
Next TopicNumPy Ndarray
|


Make a program that reads a seller's name, his/her fixed salary
Make a program that reads a seller's name, his/her fixed salary and the sale's total made by himself/herself in the month (in money).


Ricciardo learning new skills in midfield battle!
by Adam NewtonDaniel Ricciardo says that he has learnt a new set of skills by racing for a season in the midfield, having been at the sharp end of the grid since 2014. Ricciardo made the move to Renault ahead of the 2019 season, but it hasn't gone totally to plan, with the Australian having to scrap for minor placings mostly.
Ricciardo reveals that he found it tough at the start to get into turn one cleanly, with so many cars surrounding him at the beginning of the race.
He's had a few incidents, most recently with Antonio Giovinazzi and Romain Grosjean at turn one in Russia.
Ricciardo said according to motorsportweek.com: “It has been good; it has been fun.
“The only thing that, I don’t want to say sucks a little bit, but is not as fun is that you are more likely to get caught up in first lap incidents being right in the middle.

“It has also allowed me to work on my lap one race craft. My race craft in general, my overtaking and that through the race, isn’t bad. But my lap one stuff, now starting in the midfield, there have been times when I have not made the best decisions going into Turn 1, and after the fact I’m like I could have done that better."


Blogs
It is often said that in the darkest moments of our lives,
one glimmer of hope calls out to us. However, the cloud under
which we live seems like it will never pass. Every difficult minute
takes its toll and the downward spiral just continues on and on.


Since definitions can get very complicated to the point it confuses the concepts more than it explains we will start with a very basic overview of a process that may not be entirely accurate but it will help us understand what makes erlang processes different and why they are an important feature in the language.
An erlang process is a completely independent unit of execution. When you say "I've spawned processes" in erlang you mean that you've created "threads of execution share no data with each other".  Process A and B will have their own set of resources.
"So how do you create a process in erlang?"
It's simple really. Suppose you have a function.
A = fun()->erlang:display("I am a function")end.
Now you just "invoke" it with spawn(A)
spawn(A).
"I am a function"
<0.35.0>
spawn(A).
"I am a function"
<0.37.0>
spawn(A).
"I am a function"
<0.39.0>
"That simple?"
Yes. But did you notice numbers in angular brackets. I'm talking about "<0.35.0>,<0.37.0>,<0.39.0>"?
"What are they?"
These are called process identifiers or pids. We'll see their use soon. Just remember that when you create a process with spawn it immediately executes the function that is passed as an argument and gives you back an identifier.
The definition of spawn above was not complete though. Here is what a complete spawn function looks like:
spawn(Module,Function,Argument)
Very straightforward and simple. When you spawn a process you can specify the module name where the function is defined (1'st argument), the name of the function(2nd argument) and any additional arguments to the function that is to be spawned(3rd argument).
I hope everything makes sense up to this point?
"It does"
So let me ask you a question. What do you do with spawned processes?
"I eat them"
...
"Sorry :) I don't know"
No worries. Wasn't really a good question anyway.
To answer though, what you do with a process is up to you. You can spawn to execute an arbitrary piece of code like we did in the example above. You can also spawn to create "communication endpoints" in your program.
"Explain"
Gladly. Communication between processes is one of the fundamental concepts in erlang. Creating isolated execution points is not really useful if you can't talk to them 'cause you can't really tell what is going on in your program. Excessive isolation breeds an antisocial behaviour.
"You mean to say communication is the basis of any healthy relationship?"
Yes exactly! You are catching on really well. But let's take another example here:
-module(otp_erl).
-export([good_worker/0,bad_worker/0,spawn_worker/0]).
bad_worker()->
receive
{add,V1,V2}->
erlang:display(V1+V2);
{sub,V1,V2} ->
erlang:display(V1-V2);
{mul,V1,V2} ->
erlang:display(V1*V2);
{square,V1}->
erlang:display(V1*V1);
something_stupid->erlang:display("I can't work on this!")
end.
good_worker()->
receive
{add,V1,V2}->
erlang:display(V1+V2),
good_worker();
{sub,V1,V2} ->
erlang:display(V1-V2),
good_worker();
{mul,V1,V2} ->
erlang:display(V1*V2),
good_worker();
{square,V1}->
erlang:display(V1*V1),
good_worker();
something_stupid->
erlang:display("I can't work on this but I will wait for something else!"),
good_worker()
end.
spawn_worker()->
P_Bad = spawn(otp_erl,bad_worker,[]),
P_Good = spawn(otp_erl,good_worker,[]),
P_Bad! {add,2,3},
P_Bad ! {sub,3,2},
P_Good ! {add,3,2},
P_Good! {sub,3,2},
P_Good ! {mul,3,2},
P_Good ! something_stupid,
P_Good ! {square,4}.
So this program introduces some very important concepts namely: sending messages,receiving messages and looping.
Sending messages is really simple all you've got to do is Pid ! some_message_to_send
. Where Pid is the process id of the spawned process. Receiving of messages requires a bit more though. To receive messages you need to make use of a receive clause. Here is what it looks like:
receive
pattern1->Action1;
pattern2 - > Action2;
|
|
|
patternN - >ActionN
end.
"Explain"
Gladly. The working of receive is quite simple. When a receive statement is encountered in a process one of the two things happen:-
Which brings us to the life cycle of a process. We know that a process runs independently.
"Right"
So a question to ask here is when does a process terminate?
Well a process terminates when there is nothing more left to execute.
"Ah I see"
Now I think we have everything needed to explain the output of the above program.
An explanation for the output of the above program
The entry point for the program is spawn_worker. Inside it we spawn two functions. The good_worker function. And the bad_worker function. Both these function are similar in their structure with just one difference. The bad_worker receives a message and then completes it's execution. Where as the good_worker receives a message and then listens for new ones.
The implementation of a "receive loop" is pretty simple. You simply call the function recursively after a success pattern match for it to keep listening to new messages. Remember that the life of a process is as long as the code inside it is executing. And a receive block lives as long as at least one successful match. Every time we loop inside a receive we keep to function hooked to listen to the messages. Let's see what is happening inside the good_worker
receive
{add,V1,V2}->
erlang:display(V1+V2),
good_worker();
{sub,V1,V2} ->
erlang:display(V1-V2),
good_worker();
after an {add,V1,V2} message is received the process loops by calling good_worker() and once the execution reaches the receive block it waits for more messages. Where as in the bad_worker:-
receive
{add,V1,V2}->
erlang:display(V1+V2);
{sub,V1,V2} ->
erlang:display(V1-V2);
Once a receive pattern is satisfied the process execution is completed and it exits. Now looking at the results of execution of the program it is quite clear that when we call P_Bad! {add,2,3} followed by P_Bad ! {sub,3,2}, only add message works because the bad worker process exists after a successful receive match. Where as multiple messages to a good worker works because it keeps listening to new messages after every successful pattern match.
A quick word about linking and monitoring
Erlang provides two other ways for processes to communicate. Though with these methods the communication is limited to the "worst case scenarios" --that is when a process goes down. The first one is linking.
Two process can be linked to each other by calling link(Pid_of_process_to_link) from within the process. So in our bad_worker example we can do:
bad_worker()->
link(Pid_other_worker),
%% rest of the code
and the bad_worker will be linked to "Pid_other_worker".
"Okay but what do we do with these links?"
Remember that a process terminates when there is nothing else to do?
"Yeah"
That is called a "normal" way of termination. Though that is not the only way a process can terminate. There may be many other reasons. When you link two processes the exit reasons other than normal get passed around between them.
"Cool. But how do I listen to these signals. Is it just like the receive loop?"
It's almost like the receive loop but not quite. To listen to the exit signals you need to call "process_flag(trap_exit, true)" what this does is it tells the process to transform an exit signal into a message and put it in the processes mailbox from where it can be read just like the other messages.
"Explain"
Gladly. So taking the example above and modifying it to handle errors we've got this:
-module(otp_erl).
-export([good_worker/0,bad_worker/0,spawn_worker/0]).
bad_worker()->
receive
{add,V1,V2}->
erlang:display(V1+V2);
{sub,V1,V2} ->
erlang:display(V1-V2);
bad_run-> _A = 2/0;
{mul,V1,V2} ->
erlang:display(V1*V2);
{square,V1}->
erlang:display(V1*V1);
something_stupid->erlang:display("I can't work on this!")
end.
good_worker()->
process_flag(trap_exit, true),
receive
{add,V1,V2}->
erlang:display(V1+V2),
good_worker();
{sub,V1,V2} ->
erlang:display(V1-V2),
B =spawn_link(otp_erl,bad_worker,[]),
B!bad_run,
good_worker();
{mul,V1,V2} ->
erlang:display(V1*V2),
good_worker();
{square,V1}->
erlang:display(V1*V1),
good_worker();
something_stupid->
erlang:display("I can't work on this but I will wait for something else!"),
good_worker();
{'EXIT',_Pid,_Reason}->
erlang:display("Caught it"),
good_worker()
end.
spawn_worker()->
P_Bad = spawn(otp_erl,bad_worker,[]),
P_Good = spawn(otp_erl,good_worker,[]),
P_Bad! {add,2,3},
P_Bad ! {sub,3,2},
P_Good ! {add,3,2},
P_Good! {sub,3,2},
P_Good ! {mul,3,2},
P_Good ! something_stupid,
P_Good ! {square,4},
And here is the output
5
5
1
6
"I can't work on this but I will wait for something else!"
16
"Caught it"
There are two modifications to the program. First we've added another clause in the bad_worker that we know will throw an exception causing the process to exit abnormally. Second in the {sub,V1,V2} clause for the good worker we spawn a bad_worker process and send a "bad_run" message to it to purposefully cause the error. Then since we have set trap exit to true our good worker process traps the error and we get the printed result "Caught It"
"But shouldn't 'Caught it' message be printed after 1?"
What a great question! I am not sure about the answer but since we are talking about different process out of order reception is expected. But this can be a bit confusing so we'll leave it here. One thing to note here is that links are bidirectional channels of communication. Abnormal exit signals pass from the exited process to the other linked process. Linking between the same processes over and over has no effect.
Moving on to monitors. Monitors are like links but unidirectional. With monitors you don't really need to trap signals. It's all just messages. When a process exits a message like
{'DOWN', Ref, process, Pid2, Reason}
is passed to the monitoring process. But if the monitoring process itself is down no message is passed to the process that is monitored. Unidirectional. You create a monitor by calling
elrang:monitor(process,Pid)
Calling the function several times will create several monitors each of which will get "Down" signals independently.
Dictionaries
Every process in erlang has it's own process dictionary. And since process do not share resources you can use them to store data as per your needs. There is nothing much to explain here. There are just a few functions that add an item, remove an item, get an item and so on. Standard stuff made interesting only by erlang's ability to isolate the resource allocation to processes.
How to use processes
So we've talked a lot about process but one question still remains. How do you use them?
As you like it :)
Personally I like to spawn many small processes for doing tiny independent tasks. Logging is a pretty good example. If I need to log something I just spawn a function passing on the data to log and the spawned process does all the work. For these type of tasks I don't really care about communication or linking or monitoring. Once you get a hang of processes you will be able to identify such places where you can run a block of code concurrently in a spawned process.
Just remember that processes in erlang are fast to create,destroy and very cheap. In the range of kbs
so you don't have to worry about running out of memory. It will be fine, I think, if you get a bit reckless with them.
Meanwhile in Romania
The local authorities have finally decided to take a stern action against the count who has been known to terrorize the villagers for centuries. The final straw seems to have been the disappearance of a Spanish tourist who was last seen in a white tee shirt with the words "Bite me" printed in red, taking pictures near the count's castle. Count Dracula's lawyer has,as always, denied any involvement of count in the matter. But it seems that his words are falling on deaf ears as the authorities are preparing to completely demolish the castle. The cranes standing on his front door are ready for action. The count is nowhere to be seen. Is this the end of the great villain? Stay tuned to find out as the "count down" begins in 3 hours.
"Explain!"
I have nothing really. Sorry.


--- title: about permalink: "about/index.html" layout: default ---
{{site.data.about.text | markdownify }}
This site is really about introducing myself to the world as it relates to programming. It's not really a place where I will make comments about the decline of our "empire" or global warming.
It is also not a place where I will repeat things that are freely available on places like MDN Mozilla Developer Network or Ruby on Rails...I mean that's what those sites are for and hopefully I don't need to produce FILLER in order for you to think I can work for you. That said, what I do what to show here is what I think I understand about the technologies I use. Actually...I make you a promise(Not the ES6 kind)...if I state or restate something here, it means that I have studied, coded, and understand it. And normally it will be things that are beyond the basic things like the operations that can be performed on an array. What is the point of that?
It will high-lite what to me were "light-bulb" moments that to me were the "finally" explanation that opened the door of understanding to walk thru. So for me its a note in case I forget. And for each person that is most likely different. But in that case I would think that my view of how I came to grok something might actually be useful to someone else in the same boat. That's about it. Because I do believe that it you want something, you need to give it. For me knowledge is one of those things.
I also will have links to actual code or applications that I have written that reinforce that understanding.


--- redirect_from: /ru/CrashDump.html title: "ConEmu | Crash Dump" ---
ConEmu is stable enough.
Note! I often have reports related to several MicrosoftBugs. If you see the crash, please read wiki and make sure Inject ConEmuHk feature is enabled!
Well, if any unknown crash was occured in ConEmu
or ConEmuC
processes, MemoryDump may greatly help to locate and fix the problem.
Crashes in ConEmu[64].exe
and ConEmuC[64].exe
are handled automatically and application suggests to user (message box) to create MemoryDump (full or mini). Due to limitation of googlecode attachments, please upload dumps to DropBox or any other hosting and post the link to issues or via email.
ConEmu does not handle crashes (exceptions actually) in the running console applications. That is because to minimize intrusion to running application.
If you need to create dump manually (of any ConEmu's processes or console application) please read that wiki.


A basic bare type. Values of type string
look differently depending on the length L
of the string being serialized:
L <= 253
, the serialization contains one byte with the value of L
, then L
bytes of the string followed by 0 to 3 characters containing 0, such that the overall length of the value be divisible by 4, whereupon all of this is interpreted as a sequence of int(L/4)+1
32-bit little-endian integers.L >= 254
, the serialization contains byte 254, followed by 3 bytes with the string length L
in little-endian order, followed by L
bytes of the string, further followed by 0 to 3 null padding bytes.All strings passed to the API must be encoded in UTF-8. When arbitrary byte sequences have to be serialized, bytes alias is to be used.
Further details on basic types»
Basic bare type. It is an alias of the string type, with the difference that the value may contain arbitrary byte sequences, including invalid UTF-8 sequences.
When computing crc32 for a constructor or method it is necessary to replace all byte types with string types.


|
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See:
Description
| Class Summary | |
|---|---|
| ReflectData | Utilities to use existing Java classes and interfaces via reflection. |
| ReflectData.AllowNull | ReflectData implementation that permits null field values. |
| ReflectDatumReader<T> | DatumReader for existing classes via
Java reflection. |
| ReflectDatumWriter<T> | DatumWriter for existing classes
via Java reflection. |
| Annotation Types Summary | |
|---|---|
| Nullable | Declares that null is a valid value for a Java type. |
| Stringable | Declares that a class should be represented by an Avro string. |
| Union | Declares that a Java type should be represented by an Avro union schema. |
Use Java reflection to generate schemas and protocols for existing classes.
This API is not recommended except as a stepping stone for
systems that currently uses Java interfaces to define RPC protocols.
For new RPC systems, the specific
API
is preferred. For systems that process dynamic data, the generic
API is probably best.
Java types are mapped to Avro schemas as follows:
Union
annotation, the "java-element"
property is set to the union's class, e.g.:
{"type": "array", "java-element": "org.acme.Foo"}
{"type": "array", "java-class": "java.util.ArrayList"}
String
is mapped to an Avro string schema.{"type": "int", "java-class": "java.lang.Short"}
generic
API.Union
annotation can be used
to support reflection of schemas for interfaces, abstract base classes
and other uses of polymorphism.
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


This is an HTML recreation of the lineup scene in the Marvel movie Guardians of the Galaxy. Rob Scanlon built this as a fun way to learn WebGL fragment shaders.  Source code for this little project is available on Github.
Be sure to scroll down (or click on your down arrow, or swipe down if you are mobile) to see more widgets. If you don't see me, click here.
This is part 3 of a trilogy; check out Github Wargames and Encom Boardroom if you want to see what else I built while learning HTML5.


Being mindful is also being self-aware. I found this chapter really interesting, particularly the part about self awareness to self confidence...deep self-knowledge and blatant self-honestly. In other words, knowing your strengths and weaknesses really well will build your self confidence.
I found this really good. It wasd helpful to have something to focus my attention on while I was meditating. When I reached my feet, I felt like I was in a trance. I'm planning to start using this practice while I'm lying in bed trying to go to sleep.
Interesting article. I've been thinking about how I experience my emotions at the moment and I will often say "I" before the emotion. The insight to say 'I'm experiencing anger' sounds like something a sociopath might say with total detachment from emotions, but maybe I've just watched too many movies. I see how this will be beneficial and I'll certainly work towards this amazing insight and self awareness.
Treat the ego with humour...let it be small enough that 'self' is not important and big enough that I'm comfortable in most situations.


UPDATED: Bloomberg formally announces US presidential candidacy
by Agency ReportMichael Bloomberg announced Sunday he is running for president, joining the crowded field of Democrats seeking to take on his fellow New York billionaire, President Donald Trump.
“I’m running for president to defeat Donald Trump and rebuild America,” Bloomberg, 77, said on his web page as a $30 million Bloomberg ad campaign hit US airwaves.
The announcement ended speculation about the intentions of Bloomberg, who for weeks has been filing paperwork to be eligible as a candidate in primary voting and registered with the Federal Election Commission.
“We cannot afford four more years of President Trump’s reckless and unethical actions,” the former New York mayor said. “He represents an existential threat to our country and our values. If he wins another term in office, we may never recover from the damage.”
With a personal fortune of $50 billion, Bloomberg will shake up the open race, with 17 candidates already vying to be the Democratic nominee to take on Trump next year.
Former vice president Joe Biden leads the race ahead of left-wingers Elizabeth Warren and Bernie Sanders, with moderate Pete Buttigieg in fourth place, according to national polls.
(AFP)


An exceptional experience every time
Play at home, while you eat, while you poop, and while you walk. Actually, better to look at the street while you walk.
I don't think you'll ever get to my score. But you can try anyway. Looser.
Leave your email address. Wait, why? Just get it on the App Store and Play Store
thank you and follow @damianogui


Ends today,
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*Offer valid on the purchase of sale items at jcrew.com from February 17, 2013, 12:01am ET through February 18, 2013, 11:59pm ET. Offer not valid in J.Crew stores, J.Crew Factory stores, at jcrewfactory.com or on phone orders. Offer does not apply to previous purchases or to the purchase of gift cards and cannot be redeemed for cash or combined with any other promotion. To redeem online, enter code STYLE40 in the promo code box at checkout. Orders will be shipped via regular ground shipping (3 to 6 business days) and return requests must be made in accordance with our return policy. Offer valid in the U.S. and Canada only. Limit one promo code per order. Terms of offer are subject to change.
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RAMADDA supports a simple import/export xml format.
<entries>
<entry name="test.png"
description=""
type="file"
id="0"
file="test.png"
parent="<some parent entry id>"
south="-7.926"
west="-198.358"
north="71.864"
east="-3.950"
fromdate="2008-08-19 16:01:00 GMT"
todate="2008-08-19 16:01:00 GMT"
</entries>
A simple way to see the example entry xml is to create a folder or file entry in RAMADDA.
Set its description, time, spatial bounds, etc and add a number of properties to it.
Or create a tree of folders and files.
Then do File->Export. Uzip the .zip file and look at the entries.xml
Here is a simple
test.zip entries file that you can import. It contains a single file entry defined in an entries.xml file and its associated data file (test.txt). In your RAMADDA, go to File->Import Entries menu and you can upload a .zip file or the entries.xml directly.
The
folder.xml example just defines a set of folders with associated metadata.
Inside the entry tag you can have any number of metadata tags. You define the type and the attribute values.
Note: This only works for the more simple metadata elements like tag, personnel, etc. The more complex
ones with nested structured would require knowing RAMADDA's internal (and rather ill thought out) metadata storage model.
A simple metadata xml tag looks like:
<entry ...>
...
<metadata type="some type" attr1="atribute 1 value" attr2="attribute 2 value" .../>
So to add a "tag" metadata use the xml:
<metadata inherited="false" type="enum_tag" attr1="TAG VALUE">
If you have values that don't work as XML attributes due to their content or their length
you can include them as tags. The encoded="false" says this is unencoded text. The
default is encoded=true which implies the text is base64 encoded (see below).
<metadata inherited="true" type="some type">
<attr index="1" encoded="false"><![CDATA[value 1]]></attr>
<attr index="2" encoded="false"><![CDATA[value 2]]></attr>
...
</metadata>
A simple way to see the metadata xml is to create a folder or other entry in RAMADDA. Add a number of properties to it then do File->Export. Uzip the .zip file and look at the entries.xml
Note: the contents of the attr tags are CDATA blocks of base64 encoded text.
Base64 encoding of the text is the default and is what is expected when RAMADDA ingests this XML unless
you have encoded=false.
<metadata inherited="true" type="some type">
<attr index="1"><![CDATA[TlNGLU9QUA==]]></attr>
<attr index="2"><![CDATA[SW5jcmV=]]></attr>
...
</metadata>
When
harvesting files or configuring
Server Side Files
RAMADDA will look on the file system for an entry XML configuration file to use as a template when creating entries for the files and folders being ingested or displayed. For a given file RAMADDA will look for the following entry xml file in the file's parent directory:
.<filename>.ramadda.xml
.dir.ramadda.xml
.file.ramadda.xml
.ramadda.xml
So if you had:
dir1
file1.txt
file2.txt
dir2
The file types and metadata could be configured with:
.dir1.ramadda.xml
dir1
file1.txt
.file1.txt.ramadda.xml
file2.txt
.file2.txt.ramadda.xml
.dir2.ramadda.xml
dir2
You could also place a single .ramadda.xml as a sibling file of dir1 and dir2 to configure their types.
A directory can also contain its own entry xml file:
.this.ramadda.xml
You could also have .this.ramadda.xml for each directory:
dir1
.this.ramadda.xml
file1.txt
file2.txt
dir2
.this.ramadda.xml


Kriti Kharbanda no longer part of Chehre
Kriti Kharbanda is no longer part of the cast of Chehre, starring Amitabh Bachchan and Emraan Hashmi. The development comes amid reports that Kriti and the producers had a fallout.
by PTIActor Kriti Kharbanda is no longer part of the cast of Chehre, starring Amitabh Bachchan and Emraan Hashmi, the makers of the film announced on Tuesday.
The development comes amid reports that Kriti and the producers had a fallout.
Dismissing the reports, the production house, Anand Pandit Motion Pictures, issued a clarification saying the two “mutually agreed to part ways on a cordial and professional note”.
“In the light of recent media reports, we wish to clarify that @kriti_official and @apmpictures have mutually agreed to part ways on a cordial and professional note. We wish her success in all her future endeavours,” the statement on the banner’s Twitter account read.
Kriti is yet to comment on the update.
Co-produced by Saraswati Entertainment Private Limited, the film is a mystery thriller directed by Rumi Jaffrey.
Chehre is scheduled for a February 21, 2020 release.


{% extends "_post.html" %}
{% hyde
title: "Splice"
snip: "A Vim plugin for resolving three-way merge conflicts."
created: 2011-10-10 00:00:02
exclude: False
%}
{% block article %}
[Splice](http://sjl.bitbucket.org/splice.vim/) is a Vim plugin that helps
you resolve three-way merge conflicts. Check out the site for more information.
{% endblock %}


A PyTorch-based, open-source framework for deep learning in healthcare imaging used to create state-of-the-art, end-to-end training workflows.
To install the current release, run the following command:
pip install monai
For more details, please refer to the installation guide. Find a full list of examples below.
An intelligent open-source medical image labeling and learning tool that enables you to create annotated datasets and build AI annotation models quickly
To install the current release, run the following command:
pip install monailabel
For more details, please refer to the installation guide. Find a full list of examples below.
Check out all the videos from our first MONAI Bootcamp on YouTube. We cover the basics of MONAI, GANS using MedNIST, and Segmentation using the Sunnybrook Cardiac Dataset. For an overview of everything that happened at the event, check out our Medium story covering the event.
Image classification with MedNIST dataset
2D image classification demo
Training and evaluation code examples for 2D medical image segmentation
2D image segmentation with Unet
Training and evaluation code examples for 3D medical image classification
Brain MRI classification examples
Training and evaluation code examples for 3D medical image classification (with PyTorch Ignite)
Brain MRI classification examples with Ignite
Brain tumor 3D segmentation
Brats segmentation tutorial
Abdominal CT segmentation
Spleen segmentation tutorial
Abdominal CT segmentation (with PyTorch Lightning)
Spleen segmentation tutorial with Lightning
Training and evaluation code examples for 3D medical image segmentation
Volumetric image segmentation examples
Training and evaluation code examples for 3D medical image segmentation (with PyTorch Ignite)
Volumetric image segmentation examples with Ignite
Build a segmentation workflow (with PyTorch Ignite)
Segmentation workflow demo with Ignite
Build a segmentation workflow (with Catalyst framework)
Segmentation workflow demo with Catalyst
Training and evaluation code examples with Distributed Training supports
Distributed training examples
3D segmentation with Automatic Mixed Precision supports
Spleen segmentation tutorial with AMP supports
Accelerate model training by caching methods
Comparisons between different loading methods
Fast training under MONAI features
Fast training demo
Data-parallel training with multiple-GPUs
Multi-GPU training demo
GPU-based preprocessing in native PyTorch
GPU-based pipeline demo
3D segmentation on a federated learning platform, Substra
Federated training with Substra
Histology image transformation demo
2D transformation demo
Volumetric image transformation demo
3D transformation tutorial
Integrate 3rd party transforms
Integrate BatchGenerator, TorchIO, Rising and ITK transforms
Load medical images in MONAI
Tutorial for loading different formats of medical images in MONAI
GAN tutorial with MedNIST dataset
Generate medical images with GAN
GAN workflow with MedNIST dataset
Train a GAN model to reconstruct images of Hand CT scans
Models ensemble with MONAI
Models ensemble demo with MONAI
Read Nifti files with MONAI
Tutorial for loading Nifti files with MONAI
Post transforms tutorial
Post transforms demo for model output
Public Datasets tutorial
Easily use and create public Datasets
Train on Decathlon datasets with DynUNet
Tutorial for training on all 10 decathlon datasets with DynUNet
Training and evaluation code examples with MONAI engines
GAN and Image segmentation workflow examples with MONAI engines
Left-atrium semantic segmentation in the heart
DeepEdit
DeepGrow
Segmentation
Spleen semantic segmentation
DeepEdit
DeepGrow
Segmentation


Friendship gatherings first started at Lounge 3411 in Oakland around 2011. It was primarily a small gathering of friends that would come hang out and listen to good music while catching up with people who hadn't seen each other for awhile. As time when on, the parties became more than just a small gathering of friends. We began to bring out DJ friends from Chicago, Los Angeles, Seattle, and Denver. We kept doing these off and on randomly, and it wasn't until the end of 2016 where we decided to host the friendship parties every three months continuously.
Fast forward to date, 2017 has been fun in bringing out DJ's such as Worthy and Fancy Fux of Dirty Bird Records, Ghettoblaster and DJ Deeon from Chicago, 6blocc from Los Angeles, and Antiserum from San Francisco. Since we've seen a growth in attendance, we've decided to continue hosting them in 2018! We hope you've enjoyed attending these friendship parties as much as we like planning and organizing them for you! A big thank you and much love to all our DJ friends locally who've supported us, it truly means the world and I cannot put into words how much I appreciate every one of you!!


ver
0.8.0
CSS REACTIONS
A reusable modular utility based CSS framework
A reset stylesheet is added on top of Normalize.css followed by typographic styles. BEM content dependant classes are authored within a custom stylesheet to preserve the cascade. The CSS framework contains approximately 400 declarations made up of 20 component interface descriptions, 340 component descriptions and 40 object orientated classes.


Duration
20 minutes
Goals
The primary goal of list lab is to create a rotation gesture recognizer and add it to an existing application.
Required assets
This exercise is a continuation of the previous exercise. You can use your existing solution or start with the completed solution in the Part 02 Resources folder. The Part 03 Resources folder contains a completed a solution which you can use to check your work. Please make sure you have these folders before you begin.
Steps
Below are the step-by-step instructions to implement the exercise.
Start by opening your completed solution from Exercise 2; alternatively, you can use the completed solution in the Part 02 Resources folder.
Create IOnRotationGestureListener
The Android APIs don't include a rotation gesture so we'll make one from scratch. The first step is to create the gesture interface.
- Add a new empty interface named IOnRotationGestureListener.
- Open the new file and add a single void method definition OnRotate that takes a single float parameter named angle.
- Change the namespace to RotationGesture.
Create a Rotation Gesture Detector class
We'll create a rotation gesture detector class from start to finish and we'll follow the patterns set out by the Android APIs.
- Create a new class called RotationGestureDetector.
- Change the namespace to RotationGesture.
- Add a private
IOnRotationGestureListener
variable named rotationListener. - Add a constructor that takes an
IOnRotationGestureListener
parameter named listener. - Set rotationListener using the passed in listener parameter.
- Add a public
boolean
method called OnTouchEvent that accepts aMotionEvent
parameter named e.
Add additional class variables
We'll use a number of member variables to track and manage rotation state.
- Add 2 private integers named pId1 and pId2 which will store our pointer Ids.
- Add 2 private floats named angle and angleOffset.
- Add a private static integer named INVALID_ID and set it to -1.
Add the angle calculation code
To implement a rotation gesture detector, we'll need code to calculate an angle based on finger positions. This code has been provided for you below; you may examine it to see how it works.
- copy the two methods in the code block into your RotationGestureDetector class.
float GetAngle (MotionEvent e, int pointerId1, int pointerId2) { var x1 = e.GetX (pointerId1); var y1 = e.GetY (pointerId1); var x2 = e.GetX (pointerId2); var y2 = e.GetY (pointerId2); return GetAngle (x1, y1, x2, y2); } float GetAngle (float x1, float y1, float x2, float y2) { double angle = Math.Atan2((y1 - y2), (x1 - x2)); return (float)(angle * 180 / Math.PI); }
Respond to Touch Events
Just like we did in AND240, we'll create a switch statement in the OnTouchEvent
method based on the MotionAction
's ActionMasked
.
- In
OnTouchEvent
, create a switch statement based one.ActionMasked
. - Add case statements for
MotionEventActions.Down
,MotionEventActions.PointerDown
, MotionEventActions.Move,MotionEventActions.PointerUp
, andMotionEventActions.Up.
Respond to Down/PointerDown Actions
Remember, MotionEventActions.Down
is triggered when the first finger touches the screen,
MotionEventActions.PointerDown
is triggered for any additional fingers.
- In the case statement for
Down
, save the current pointer Id to pID1. Get the current Id using theMotionEvent
'sGetPointerId
method passing in theActionIndex
. - In the case statement for
PointerDown
, save the current pointer Id to pID2. - Use the
GetAngle
method to find the initial angle of the fingers, from that subtract angle and save it to angleOffset.
Respond to Move Actions
The next steps are to be completed in the MotionActionEvents.Move
case.
- Make sure we have valid Ids for 2 fingers; compare pId1 and pId2 against INVALID_ID. Return
false
if either is invalid. - Calculate the angle; use the
GetAngle
method passing in both pointer Ids to calculate the angle. To find the true angle, subtract angleOffet and save the result in angle. - Notify the rotation listener; first check to make sure rotationListener isn't
null
, then call itsOnRotate
method passing in angle.
Respond to Up/PointerUp Actions
For the Up actions, we'll simply set our saved off pointer Ids to "Invalid". Remember, the order that we touch the screen isn't necessarily the same order that the fingers leave the screen, so we need to check the active Id before changing it.
- We'll use the same code for both Up Actions; change the switch statement so
MotionActionEvents.Up
falls through toMotionActionEvents.PointerUp
. - Find the current id using the
MotionEvent
'sGetPointerId
method passing in e.ActionIndex. - Compare the Id to the 2 saved Ids and set them to INVALID_ID if they match.
Add a Rotation Gesture Detector to MainActivity
The RotationGestureDetector
class is now complete.
The final steps are to use the listener and create an instance of the detector in MainActivity.
- Add a class level
RotationGesture
named rotationGesture. - Instantiate rotationGesture in the
OnCreate
method, passingthis
in for the listener parameter. - Pass the
MotionEvent
e to rotationGesture in theOnTouchEvent
method. - Implement
IOnRotationGestureListener
on MainActivity. - Create the required
OnRotation
method. - In
OnRotation
, set xamLogo'sRotation
property to the passed in angle parameter. - Run the app!
Summary
In this exercise you completed your multi-gesture app by adding a custom rotation gesture to your existing scrolling and scaling application.
To achieve this, you had to build the rotation gesture from scratch by creating and implementing the IOnRotationGestureListener
interface and the RotationGestureDetector
class.


Portland is a city of 650 000 people located in the state of Oregon, in the north west of the US facing the Pacific Ocean. The origin of the name derives from the homonymous city of maine on the east coast that is because people emigrated from the east to the west during the XIX century.
The city i salso known as “the city of roses” for the famous Portland
Rose Festival, during this event in the city is organized a Grand
Floral Parade in which floral carts parade through the streets.
Another event is the Waterfront Blues festival, the second most
important blues festival of the US, that is held on the banks of the
river Willamette. In the city there only one important sport franchise
the Portland Trial Blazers a basketball team that plays in the Moda
Center. Portland is a multicultural city and that is shown in the
city’s census in which the so called minorities make up more than 30%
of the 650 000 citizens.
The different types of ethnicities are shown in the various dishes
that you can find in the city, here’s a list:


This project was built by Andrew Wilkey and is not officially afilliated with any of GMOD projects. Contact Me


COURSE DESCRIPTION
Development of the basic concepts and techniques from Computer Science I and II into practical programming skills that include a systematic approach to program design, coding, testing, and debugging. Application of these skills to the construction of robust programs of thousands of lines of source code. Use of programming environments and tools to aid in the software development process.
COURSE TOPICS
- Programming style and its impact on readability, reliability, maintainability, and portability.
- Decomposing problems into modular designs with simple, narrow interfaces.
- Determining the proper objects in an object-oriented design.
- Selecting appropriate algorithms and data structures.
- Reusing code, including external libraries designed and built by others.
- Learning systematic testing and debugging techniques.
- Maintaining a repository of code during incremental development of a software project.
- Learning how to use threads to synchronize several tasks.
- Improving program performance.
- Making effective use of a programming environment, including:
- Syntax-directed editor
- Build tools
- Debugging tools
- Testing tools
- Source code management tools
- Profiling tools
PREREQUISITES
You must have taken CSE 214 and received a grade of "C" or better in order to take this course. In more detail, you are expected to have the following knowledge and skills at the beginning of the course:
- Ability to write programs of a few hundred lines of code in the Java programming language.
- Understanding of fundamental data structures, including lists, binary trees, hash tables, and graphs, and the ability to employ these data structures in the form provided by the standard Java API.
- Ability to construct simple command-based user interfaces, and to use files for the input and output of data.
- Mastery of basic mathematical and geometric reasoning using pre-calculus concepts.
COURSE GOALS
At the end of the course you should have the following knowledge and skills:
- Ability to systematically design, code, debug, and test programs of about two thousand lines of code.
- Sensitivity to the issues of programming style and modularity and their relationship to the construction and evolution of robust software.
- Knowledge of basic ideas and techniques of object-oriented programming.
- Familiarity with the capabilities and use of programming tools such as syntax-directed editors, debuggers, execution profilers, documentation generators, and revison-control systems.
INSTRUCTOR
|
Richard McKenna<EMAIL_ADDRESS>216 New Computer Science Building Office Hours:
|
TEACHING ASSISTANTS (Grading Appointments in the New Computer Science Building, Room 106)
Go to the Grading Appointments Sheet to reserve a time for each assignment. Note TA-student pairings are done according to student last name so make sure you put your reservation on the correct sheet.
HOMEWORK GURUS (Office Hours in the Old Computer Science Building, Room 2217)
OFFICE HOURS GRID (in Old CS 2217)
| Start Time | End Time | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY |
|---|
COLLEGE OF ENGINEERING TUTORING SERVICES (Engineering 236B)
Stony Brook University and the College of Engineering and Applied Sciences offers FREE tutoring services for CSE 219 in Engineering, Room 236B during the following days/times:
- Monday: TBA
- Tuesday: TBA
- Wednesday: TBA
- Thursday: TBA
- Friday: TBA
LECTURE - Section 02
Tuesdays & Thursdays
1:00 pm - 2:20 pm
Javits 103
RECITATIONS
PLATFORMS
This course will use the Java programming language, version 8. The programming environment for this semester will be the NetBeans IDE, version 8.0, which includes a syntax-directed editor, run-time environment, debugger, unit tester, and additional software development tools. Go to the NetBeans download page to get your own free copy. All software will also be provided for you to use in the Windows Lab. Note that the following references will be helpful to students while completing the Java programming assignments:
- Java 8 API - this reference provides a summary of all the Standard Edition classes, many of which we'll make use of.
- The Java Tutorial - walks one through programming in Java, including the new features of Java 8.
- JavaFX Tutorial
- a good reference for learning how to make User Interfaces using
JavaFX, which is new with Java 8. Note that JavaFX is replacing Swing as
the Java framework for making user interfaces.
TEXTBOOKS (both are online via provided links below)
Head First Object Oriented Design and Analysis
by Brett McLaughlin, Gary Pollice, David West
Published by O'Reilly Media, Inc. 2006
Print ISBN-10: 0-596-00867-8
Print ISBN-13: 978-0-596-00867-3
AND
Head First Design Patterns
by Eric T Freeman, Elisabeth Robson, Bert Bates, Kathy Sierra
Published by O'Reilly Media, Inc. 2004
Print ISBN-10: 0-596-00712-4
Print ISBN-13: 978-0-596-00712-6
COURSE COMPONENTS
- Recitations - Students will attend weekly
recitations that will introduce use of essential development tools and
will require completion of an exercise for submission.
- Homework Assignments - Submitted code that does
not compile will receive no credit. Late submissions will NOT be
accepted. Programming assignments will be handed in electronically,
instructions for which will be provided early in the semester.
- Midterm & Final Exams - Exams will cover all lecture and homework materials covered during the semester.
GRADING BREAKDOWN
| Recitation Exercises | 5% | |
| 5 Homework Assignments | 25 % | (5 % each) |
| Final Project | 20 % | |
| Midterm Exam | 25 % | |
| Final Exam | 25 % | |
| 100 % |
Note CEAS Policy: The Pass/No Credit (P/NC) option is not available for this course.
ACADEMIC DISHONESTY
Read This! You may discuss the homework in this course with anyone you like, however each student's submission, including written material and coding, must be his or her own work, and only his or her own work. Any evidence that written homework submissions or source code have been copied, shared, or transmitted in any way between students (this includes using source code downloaded from the Internet or written by others in previous semesters!) will be regarded as evidence of academic dishonesty. Additionally, any evidence of sharing of information or using unauthorized information during an examination will also be regarded as evidence of academic dishonesty.
The College of Engineering and Applied Sciences regards academic dishonesty as a very serious matter, and provides for substantial penalties in such cases, such as receiving an `F' grade, or expulsion from the University. For more information, obtain a copy of the CEAS guidelines on academic dishonesty from the CEAS office.
Be advised that any evidence of academic dishonesty will be treated with utmost seriousness. Those involved will be prosecuted to the fullest extent permitted by the University and College laws. If you have a situation that may tempt you into doing something academically dishonest, resist the urge and speak with your instructor during office hours for help.
SPECIAL ASSISTANCE
If you have a physical, psychological, medical or learning disability that may impact on your ability to carry out assigned course work, I would urge that you contact the staff in the Disabled Student Services office (DSS) in the ECC building (where the Computer Store used to be), 632-6748v/tdD. DSS will review your concerns and determine with you what accommodations are necessary and appropriate. All information and documentation of disability are confidential.
If you need general computer help, you can use the Computer Science Help Desk. Services offered include setting up an account on a department server, using Windows NT, using a browser, and connecting to the campus network. The Help Desk office is located in the SBCS Office - Room 2110.


@(settingsForm: Form[String])(implicit messages: Messages, request: play.api.mvc.Request[Any]) @* * Shows the main admin overview screen. *@ @admin.main("Settings - Admin") {
The welcome text can be up to 480 characters (3 standard text messages) and is designed to:
@@@@name@@@@


Blablaplane
search flight
my reservations
book flight
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Pilot
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Pilot
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×
post flight
Type?
Travel
Local Flight
date
Time
departure
arrival
travel time
price
number of seat
BLABLAPLANE
share your flight!
travel
local
search
no flights


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It is not defined in the _includes folder and/or the _includes/subsection.html file.
{% endcase %}


Cloud computing is the on-demand delivery of compute power, database storage, applications, and other IT resources through a cloud services platform via the internet with pay-as-you-go pricing.
No matter what you do with AWS you'll probably end up using these services as everything else interacts with them.
Should have been called: Amazon Virtual Servers
Use this to: Host the bits of things you think of as a computer.
Should have been called: Users, Keys and Certs
Use this to: Set up additional users, set up new AWS Keys and policies.
Should have been called: Amazon Unlimited FTP Server
Use this to: Store images and other assets for websites. Keep backups and share files between services. Host static websites. Also, many of the other AWS services write and read from S3.
Should have been called: Amazon Virtual Colocated Rack
Use this to: Overcome objections that "all our stuff is on the internet!" by adding an additional layer of security.
 Sort of a combination of a queue and execution in one. Used for storing and then executing changes to your AWS setup or responding to events in S3 or DynamoDB.
If you're setting up a web app, these are mostly what you'd end up using. These are similar to what you'd find in Heroku's Addon Marketplace.
Should have been called: API Proxy
Use this to: Proxy your apps API through this so you can throttle bad client traffic, test new versions, and present methods more cleanly.
Should have been called: Amazon SQL
Use this to: Be your app's Mysql, Postgres, and Oracle database.
Should have been called: Amazon DNS + Domains
Use this to: Buy a new domain and set up the DNS records for that domain.
Should have been called: Amazon Transactional Email
Use this to: Send one-off emails like password resets, notifications, etc. You could use it to send a newsletter if you wrote all the code, but that's not a great idea.

Should have been called: Amazon Fulltext Search
Use this to: Pull in data on S3 or in RDS and then search it for every instance of 'Jimmy.'
Should have been called: Amazon NoSQL
Use this to: Be your app's massively scalable key valueish store.
Should have been called: Amazon Memcached
Use this to: Be your app's Memcached or Redis.

Should have been called: Amazon Queue
Use this to: Store data for future processing in a queue. The lingo for this is storing "messages" but it doesn't have anything to do with email or SMS. SQS doesn't have any logic, it's just a place to put things and take things out.
Should have been called: AWS Firewall
Use this to: Block bad requests to Cloudfront protected sites (aka stop people trying 10,000 passwords against /wp-admin)
These are the services that only work for mobile developers.
Should have been called: Amazon OAuth as a Service
Use this to: Give end users - (non AWS) - the ability to log in with Google, Facebook, etc.
Should have been called: Amazon Drawer of Old Android Devices
Use this to: Test your app on a bunch of different IOS and Android devices simultaneously.

Should have been called: Amazon GitHub
Use this to: Version control your code - hosted Git.

Should have been called: Amazon Continuous Integration
Use this to: Run automated tests on your code and then do stuff with it depending on if it passes those tests.
Should have been called: Amazon Docker as a Service
Use this to: Put a Dockerfile into an EC2 instance so you can run a website.
Should have been called: Amazon Platform as a Service
Use this to: Move your app hosted on Heroku to AWS when it gets too expensive.
Services for business and networks.
Should have been called: Amazon Citrix
Use this to: Put a copy of a Windows application on a Windows machine that people get remote access to.
Should have been called: Pretty spot on actually
Use this to: Pay your Telco + AWS to get a dedicated leased line from your data center or network to AWS. Cheaper than Internet out for Data.
Should have been called: Pretty spot on actually
Use this to: Tie together other apps that need a Microsoft Active Directory to control them.
Should have been called: Amazon Unstructured Files
Use this to: Share Word Docs with your colleagues.
Should have been called: Amazon Company Email
Use this to: Give everyone in your company the same email system and calendar.

Should have been called: Amazon Setup Already
Use this to: Give other AWS users in your group access to preset apps you've built so they don't have to read guides like this.
Should have been called: S3 pretending it's part of your corporate network
Use this to: Stop buying more storage to keep Word Docs on. Make automating getting files into S3 from your corporate network easier.
Services to ingest, manipulate and massage data to do your will.
Should have been called: Amazon ETL
Use this to: Extract, Transform and Load data from elsewhere in AWS. Schedule when it happens and get alerts when they fail.
Should have been called: Amazon Hadooper
Use this to: Iterate over massive text files of raw data that you're keeping in S3.
 Also, beware the cost of getting data back out in a hurry. For long term archiving.
Should have been called: Amazon High Throughput
Use this to: Ingest lots of data very quickly (for things like analytics or people retweeting Kanye) that you then later use other AWS services to analyze.
Should have been called: Amazon Data Warehouse
Use this to: Store a whole bunch of analytics data, do some processing, and dump it out.
Should have been called: Skynet
Use this to: Predict future behavior from existing data for problems like fraud detection or "people that bought x also bought y."
Should have been called: Amazon EC2 Queue
Use this to: Build a service of "deciders" and "workers" on top of EC2 to accomplish a set task. Unlike SQS - logic is set up inside the service to determine how and what should happen.

Should have been called: Amazon Configuration Management
Use this to: Keep from going insane if you have a large AWS setup and changes are happening that you want to track.

Should have been called: Amazon Auditor
Use this to: Scans your AWS setup to determine if you've setup it up in an insecure way
https://aws.amazon.com/what-is-cloud-computing/
https://aws.amazon.com/types-of-cloud-computing/
https://www.expeditedssl.com/aws-in-plain-english
http://media.amazonwebservices.com/architecturecenter/AWS_ac_ra_web_01.pdf
http://media.amazonwebservices.com/architecturecenter/AWS_ac_ra_loganalysis_11.pdf
https://aws.amazon.com/new/reinvent/


Tests
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GameBrowser
1
Add a media library in Emby library setup and set the content type to Games.
2
Setup Game Systems
Game Systems
Please run an Emby library scan after editing the Game Systems list.


{% extends "setup.html" %} {% block content %}
Virtool must restart. You will be automatically redirected when Virtool is ready.


| Package | Description |
|---|---|
| com.drew.metadata.adobe | |
| com.drew.metadata.exif |
Contains classes for the extraction and modelling of Exif metadata and camera manufacturer-specific makernotes.
|
| com.drew.metadata.icc | |
| com.drew.metadata.iptc |
Contains classes for the extraction and modelling of IPTC metadata.
|
| com.drew.metadata.jfif |
Contains classes for the extraction and modelling of JFIF metadata.
|
| com.drew.metadata.jpeg |
Contains classes for the extraction and modelling of JPEG file format metadata.
|
| com.drew.metadata.photoshop |
Contains classes for the extraction and modelling of Photoshop metadata.
|
| com.drew.metadata.xmp |
Contains classes for the extraction and modelling of Adobe's XMP metadata.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AdobeJpegReader
Decodes Adobe formatted data stored in JPEG files, normally in the APPE (App14) segment.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ExifReader
Decodes Exif binary data, populating a
Metadata object with tag values in ExifSubIFDDirectory ,
ExifThumbnailDirectory , ExifInteropDirectory , GpsDirectory and one of the many camera makernote directories. |
| Modifier and Type | Class and Description |
|---|---|
class |
IccReader
Reads an ICC profile.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IptcReader
Decodes IPTC binary data, populating a
Metadata object with tag values in an IptcDirectory . |
| Modifier and Type | Class and Description |
|---|---|
class |
JfifReader
Reader for JFIF data, found in the APP0 Jpeg segment.
|
| Modifier and Type | Class and Description |
|---|---|
class |
JpegCommentReader
Decodes the comment stored within Jpeg files, populating a
Metadata object with tag values in a
JpegCommentDirectory . |
class |
JpegReader
Decodes Jpeg SOF0 data, populating a
Metadata object with tag values in a JpegDirectory . |
| Modifier and Type | Class and Description |
|---|---|
class |
PhotoshopReader
Reads metadata created by Photoshop and stored in the APPD segment of Jpeg files.
|
class |
PsdReader
Reads metadata stored within PSD file format data.
|
| Modifier and Type | Class and Description |
|---|---|
class |
XmpReader
Extracts Xmp data from a JPEG header segment.
|
Copyright © 2003-2012 Drew Noakes. All Rights Reserved.


Unfortunately, your browser does not seem to support the canvas element.
Unfortunately, your javascript is disabled. You will need to enable it in order to play the game.
Please choose a difficulty to get started.
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Glade is excited about the future. He has dreamed for a long time of playing in a large band (7-10 musicians). He has taken guitar lessons for many years to prepare for playing in a band eventually. He is learning how to code so he can get into a career that will let him afford to buy a home and so many guitars he doesn't have the time to play them all. He also wants to eventually create a website with instrustional videos and guitar lessons. He has learned music from many sources and he thinks he has a unique view on learning music and would like to share that with people.


Cutadapt
Calculate adapter
Make graphics
Save
Start
Options that influence how the adapters are found
(You need to provide at least one adapter sequence)
Adapter 3':
Adapter anywhere:
Adapter 5':
Error Rate:
Count:
Length:
Match Reads Wildcards
No Match Adapter Reads Wildcards
Options for filtering of processed reads
Discard Trimmed:
Discard Untrimmed:
Minimum Length:
Maximum Length:
Additional modifications to the reads
Cutoff:
Quality Base:
Double encode (Only color space):
Options that influence what gets output
Name wilcard file:
File Name too short reads:
File Name too long reads:
File Name untrimmed reads:
Note:
If the input sequences are in color space, the adapter can be given in either color space (as a string of digits 0, 1, 2, 3) or in nucleotide space.


Enter the symptoms you are experiencing, Or.
Symptoms.
Enter the name of a Doctor you wish to look for.
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I am an Electrical and Computer Engineering Graduate with special interest in Data Science and Machine Learning. I have hands-on experience with applied Machine Learning techniques using Python. Have, also, worked on various projects in Full Stack Web Development. As a former IT Support Engineer and Outbound Sales Agent i have great problem solving and communication skills.
My main responsibility of the role was the configuration of hardware, devices and software to set up workstations for employees and meteorological stations. I was also part in the development of virtual environments with customized meteorological software for computer operation purposes. Moreover, I used my programming capabilities to retrieve meteorological data from relational databases and develop user-oriented web pages using front-end languages. It was a really transformative experience as i got to work in a competitive environment at the cross-section of engineering and meteorology using cutting-edge technologies and supporting various ranges of users.
Responded to customer requests for products and services and promoted available energy solutions.
Promoted available energy solutions and services to customers based on their needs.
Grade: 6.63/10 "Very Good"
Grade: 19.0/20 “Excellent”
When I'm not working on the latest projects, I enjoy spending most of my time exploring the nature, free climbing and going for long walks. I, also, love taking photographs of the places i visit and make fond memories by meeting new and interesting people and getting to know different cultures.
When I stay in, i like being on top of everything technology related, blog about interesting tech solve coding and math riddles and playing the occasional video game to blow some steam off. I'm, also, active in various forums in order to exchange ideas and have a broader understanding of the IT field.


| Interface | Description |
|---|---|
| CustomPathResolver |
This class is intended to be implemented by third party applications.
|
| Class | Description |
|---|---|
| CredentialsSerializingHandler |
This handler was so as openConnection() method can be handled by the platform default url handler
and the handler can provide proper url serialization to string (which fails on Weblogic).
|
| FileMessages | |
| FileURLParser |
Helper class with some useful methods regarding file string manipulation
|
| FileUtils |
Helper class with some useful methods regarding file manipulation
|
| FileUtils.ArchiveURLStreamHandler | |
| SandboxUrlUtils |
Utility class for working with sandbox URLs.
|
| SMBPathResolver |
Adds read/write support for Windows shares (SMB/CIFS protocol, UNC paths).
|
| TrueZipVFSEntries |
This class registers all archives managed by TrueZip library for a single graph instance.
|
| URLConnectionRequest | |
| WcardPattern | |
| ZipUtils |
Class for gzip compression/decompression.
|
| Exception | Description |
|---|---|
| SMBPathResolver.SMBException |
Because jcifs.smb.SmbException never contains info about what URL was handled when error occurred,
this class is used to wrap any jcifs.smb.SmbException thrown and contains culprit URL in its message.
|
Copyright © 2002-2015 Javlin a.s.


orca
Section: User Commands (1)Updated: 7 May 2008
Index Return to Main Contents
NAME
orca - a screen reader / magnifierSYNOPSIS
orca [option...]DESCRIPTION
orca is a screen reader for people with visual impairments, and provides alternative access to the desktop by making use of speech synthesis, braille, and magnification support on the platform. In addition, orca only provides access to applications/toolkits that support the assistive technology service provide interface (AT-SPI), which include GTK, Mozilla, Firefox, Evolution, OpenOffice, StarOffice, Java/Swing, etc. WARNING: suspending orca, e.g. by pressing Control-Z, from an AT-SPI enabled shell (such as gnome-terminal), can also suspend the desktop until Orca is killed.OPTIONS
- -s, --gui-setup, --setup
- When starting orca, bring up the GUI configuration dialog.
- -t, --text-setup
- When starting orca, initiate the text-based configuration.
- -n, --no-setup
- When starting orca, force the application to be started without configuration, even though it might have needed it. This is useful when starting orca via something like gdm.
- -u dirname
- --user-prefs-dir=dirname
- When starting orca, use dirname as an alternate directory for the user preferences.
- -e speech|braille|braille-monitor|magnifier|main-window
- --enable=speech|braille|braille-monitor|magnifier|main-window
- When starting orca, force the enabling of the supplied options.
- -d speech|braille|braille-monitor|magnifier|main-window
- --disable=speech|braille|braille-monitor|magnifier|main-window
- When starting orca, force the disabling of the supplied options.
- -?, -h, --help
- Show the help message of this release of the orca program.
- -l, --list-apps
- Prints the names of all the currently running applications. This is used primarily for debugging purposes to see if orca can talk to the accessibility infrastructure. Note that if orca is already running, this will not kill the other orca process. It will just list the currently running applications, and you will see orca listed twice: once for the existing orca and once for this instance.
- --debug
- Enables debug output for orca and sends all debug output to a file with a name of the form 'debug-YYYY-MM-DD-HH:MM:SS.out' in the current directory. The YYYY-MM-DD-HH:MM:SS portion will be replaced with the current date and time.
- --debug-file=filename
- Enables debug output for orca and sends all debug output to the given filename.
- -v, --version
- Return the orca version number.
- -q, --quit
- Quit orca.
AUTHOR
orca development is a community effort led by the Sun Microsystems Inc. Accessibility Program Office.SEE ALSO
The orca wiki at <http://live.gnome.org/orca> The orca mailing list<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:29:07 GMT, December 24, 2015


test item 1
initially opened
Demo BeefUp.js
Decrease viewport to 768px to make Filter option appear.
Problem: accordion does only work outside of lightbox. BeefUp.js would meet all requirements.
https://github.com/Schascha/BeefUpLicense: MIT
39 Produkte gefunden
BeefUp.js does not work inside a featherlight.js lightbox
BeefUp.js works fine outside featherlight.js lightbox


In Vitess 2.2, we are adding preliminary support for Row Based Replication. This document explains how we are managing it and how it affects various Vitess features.
See the Vites and Replication document for an introduction on various types of replication and how it affects Vitess.
With Row Based replication, a more compact binary version of the rows affected
are sent through the replication stream, instead of the SQL statements. The
slaves then do not spend any time parsing the SQL, or performing any complex SQL
operations (like where
clauses). They can just apply the new rows directly.
A few binlog events are used:
Table Map event: describes a table that is affected by the next events. Contains the database and table name, the number of columns, and the Type for each column. It does not contain the individual column names, nor the flags for each column (so it is impossible to differentiate signed vs unsigned integers for instance).
Write Rows: equivalent of Insert.
Update Rows: change the values of some rows.
Delete Rows: delete the provided rows.
The
binlog-row-image
option can
be used to control which rows are used to identify the columns for the Update
and Delete Rows events. The default setting for that option is to log all
columns.
Vitess uses the Replication Stream in a number of places. This part explains how we use RBR for these.
This is enabled by the watch_replication_stream
option, and is used
by Update Stream. It only cares about the
GTIDs for the events, so it is unaffected by the use of RBR.
Note: the current vttablet also reloads the schema when it sees a DDL in the stream. See below for more information on this. DDLs are however not represented in RBR, so this is an orthogonal issue.
The current implementation uses comments in the original SQL (in SQR) to provide the primary key of the column that is being changed.
We are changing this to also parse the RBR events, and extract the primary key value.
Note: this means we need accurate schema information. See below.
This is used during horizontal and vertical resharding, to keep source and destination shards up to date.
We need to transform the RBR events into SQL statements, filter them based either on keyspace_id (horizontal resharding) or table name (vertical resharding), and apply them.
For horizontal splits, we need to understand the VSchema to be able to find the primary VIndex used for sharding.
Note: this again means we need accurate schema information. We could do one of two things:
Send all statements to all destination shards, and let them do the filtering. They can have accurate schema information if they receive and apply all schema changes through Filtered Replication.
Have the filtering be done on the stream server side, and assume the schema doesn't change in incompatible ways. As this is simpler for now, that's the option we're going with.
A lot of the work to interpret RBR events correctly requires knowledge of the table's schema. However, this introduces the possibility of inconsistencies during schema changes: the current schema for a table might be newer than the schema an older replication stream event was using.
For the short term, Vitess will not deal very gracefully with this scenario: we will only support the case where the current schema for a table has exactly the same columns as all events in the binlog, plus some other optional columns that are then unused. That way, it is possible to add columns to tables without breaking anything.
Note if the main use case is Filtered Replicaiton for resharding, this limitation only exists while the resharding process is running. It is somewhat easy to not change the schema at the same time as resharding is on-going.
When using RBR, Schema Swap becomes useless, as replication between hosts with different schemas will most likely break. This is however an existing limitation that is already known and handled by MySQL DBAs.
Vitess at this point does not provide an integrated way of applying involved schema changes through RBR. A number of external tools however already exist to handle this case, like gh-ost.
We have future plans to:
Integrate with a tool like gh-ost to provide a seamless schema change story.
Maintain a history of the schema changes that happen on all shards, so events can be parsed correctly in all cases.
This part describes the features that are not supported for RBR in Vitess as of March 2017:
Fractional timestamps for MariaDB: not supported. This affects the objects
of type TIMESTAMP
, TIME
and DATETIME
. The way that feature is
implemented in MariaDB, the binary logs do not contain enough information to
be parsed, but instead MariaDB relies on the schema knowledge. This is very
fragile. MySQL 5.6+ added new data types, and these are supported.
JSON type in MySQL 5.7+: the representation of these in the binlogs is a blob containing indexed binary data. Re-building the SQL version of the data, so it can be re-inserted during resharding, is not supported yet. It wouldn't however be a lot of work, with other libraries also supporting this, and the C++ MySQL code being well written and easy to read. See for instance https://github.com/shyiko/mysql-binlog-connector-java/pull/119
Timezones support: the binary logs store timestamps in UTC. When converting these to SQL, we print the UTC value. If the server is not in UTC, that will result in data corruption. Note: we are working on a fix for that one.
Update Stream can be changed to contain both old and new values of the rows being changed. Again the values will depend on the schema. We will also make this feature optional, so if the client is using this for Primary Key based cache invalidation for instance, no extra unneeded data is sent.
This can be used to re-populate a cache with Update Stream, instead of invalidating it, by putting the new values directly in there.
Then, using this in conjunction with binlog-row-image
would help provide a
feature-complete way of always getting all changes on rows. It would also help
handle Update Stream corner cases that replay events during resharding, when
switching traffic from old to new shards.
A lot of the work done by vttablet now is to find the Primary Key of the modified rows, to rewrite the queries in an efficient way and tag each statement with the Primary Key. None of this may be necessary with RBR.
We plan to eventually add a rbr_mode
flag to vttablet to disable all the
things it can skip if RBR is used.


FORCES OF NATURE Cast: Sandra Bullock, Ben Affleck, Maura Tierney, Steve Zahn, Blythe Danner, Ronnie Cox, Meredith Scott Lynn Director: Bronwen Hughes Screenplay: Marc Lawrence, Ian Bryce, Donna Roth Australian theatrical release: May 6, 1999 Reviewed by Luke Buckmaster
On the Buckmaster scale of 0 stars (bomb), to 5 stars (a masterpiece): 2 and a half stars
A considerable portion of Forces of Nature feels like a 90's remake of Plains, Trains and Automobiles, with only a couple of notable differences. Whereas Steven Martin desperately tried to make it home for thanksgiving in 1989, Ben Affleck is engaged to be married and is battling against time (and a fear of flying) to attend his wedding ceremony. From trailers and posters, it's no secret that this is a boy meets girl film, but again, there are couple of exceptions. This is not your average Hollywood romantic comedy since its two principal characters carry weighty emotional baggage with them. Whilst there is nothing drastically wrong with Forces of Nature - a very likeable piece - it ends up stabbing itself in the foot by trying to be too smart too quick. There will undoubtedly be many smiling faces walking out from the movie; others, like me, will feel a little cheated.
Affleck plays Ben Holmes, a man who is about to get married and everybody is telling him how marriage is a bad idea. His best man is demanding that he sleep around before committing himself, and his agitated parents hardly provide a welcoming example of holy matrimony. On his way home, Ben's plane skids off the runway and he quickly finds himself forming a partnership with a sexy, mysterious lady named Sarah (Sandra Bullock) as they fight traffic, police and, yes, forces of nature to get to their destinations. Sarah's gorgeous looks and fearless spirit tempt Ben, but he soon realizes that there is more to her than she would like him to believe.
Much of Sandra Bullock's character is purposely self-explanatory, but it's hard to grasp where she is coming from and what she is after. Sure, she works on more levels than just pleasing eye candy for the guys, but this doesn't substitute the fact that she is not properly digested by the film's screenplay. Consequently, this slightly hinders Bullocks appealing performance and the believability of Sarah and Ben's relationship. Affleck has a better grasp on his material, and he delivers his lines with the kind of goofy sincerity that made Steve Martin a star.
This is quite a funny, and definitely likeable film littered with many cynical jokes about marriage and relationships. Look out for some impressive work by cinematographer Elliot Davis, who gives the film a lively visual feel - he even succeeds in making a rain storm the basis of one of the film's best choreographed sequences. With so much romantic fluff, it's a wonder why director Bronwen Hughes decided on a rather cynical novelty ending that is poorly staged and written. Love, it seems, carries confusion with it, and this is quite a confusing completion to an otherwise simplistic story. Forces of Nature succeeds in giving viewers plenty to talk about in the car ride home, but this is one film in which an unexpected ending works to its disadvantage. Not a bad film, in fact it's quite a good one. But Forces of Nature tries to be too smart too quick, when it should have been dumb but enjoyable.
Read more of my reviews at In Film Australia http://infilmau.iah.net
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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--- layout: post title: AgileDotNet 2011 published: 1 category: - Programming ---
Save the date: Feb 25 2011, in Houston, the AgileDotNet conference. Lots of great speakers and topics -- this is a high value-for-dollar event. Sign up before Dec 1 2010 with the discount code EARLYBIRD and get a good break on the already low registration fee. This is one of the many excellent events held by Improving Enterprises. Don't miss it!


appraiseR
comes with built-in SpatialPointsDataFrames
such as centro_2015
, centro_13_15
, itacorubi_2015
, trivelloni_2005
and other dataframes
like loteamento
, renda
, canasvieiras_97
, trindade_ap
, terrenos_praia
, trindade
and jungles
.
More information on the available datasets can be find using the help
command in R
:
help(centro_2015)
Prices of 50 Florianopolis’ downtown apartaments
Description
A SpatialPointsDataFrame containing a sample of 50 apartaments with prices and other attributes in Florianopolis’ downtown
Usage
centro_2015
Format
A tibble with 53 rows (50 samples and 3 apartments to be appraised) and 7 variables:
Source
HOCHHEIM, Norberto. Engenharia de avaliacoes imobiliarias: Modulo Basico. Florianopolis: IBAPE/SC, 2015, p.21-22
Real Estate Appraisals in Brazil are standardized in NBR 14.653-2. The standard recommended procedure is to build a multiple linear regression analysis. Transformation of the parameters to obtain a better fit is usual, although appraisers are not familiar with box-cox or other methods to find best transformations.
The main purpose of appraiseR
is to help engineers to find transformations of the parameters in the model in order to obtain the best fit that satisfies the recomendations stablished in NBR 14.653-2.
Outlier analysis by several criteria can be achieved trough the outlier_analysis
function:
outlier_analysis(x = trindade, criterion = "30_percent")
## removing values
## [1] 427 458 510 511 528 545 564 574 574 590 601 602 602 609 620
outlier_analysis(x = trindade, criterion = "2_sd")
## Step 1: removing values 427
## Step 2: removing values 458
## [1] 510 511 528 545 564 574 574 590 601 602 602 609 620
outlier_analysis(x = trindade, criterion = "chauvenet")
## Step 1: removing values 427
## Step 2: removing values 458
## [1] 510 511 528 545 564 574 574 590 601 602 602 609 620
appraiseR
package includes both functions to help the appraiser to find best fits through the transformation of the parameters in the model (bestfit()) and functions to help the appraiser to verifie that the found fit satisfies the criteria of the brazilian standard NBR 14.653-2.
The first thing to be done is try to find the best model with bestfit function, as follows:
library(appraiseR)
data <- as.data.frame(centro_2015@data)
best_fit <- bestfit(valor~., data)
bestfit
automatically fits a series of transformations in the parameteres and combine them in several models. These models are later ordered by the adjusted R2 criteria. By default, bestfit
uses three transformations functions, equivalent to the use of the box-cox method with \(-0.5 \leq \lambda \leq +0.5\). This can be changed with the transf
argument.
If printed, a bestfit object shows a table of the best 10 models found according to the criteria mentioned above:
print(best_fit)
## Call:
## bestfit.formula(formula = valor ~ ., data = data)
##
## Best 10 fits:
## id valor area_total quartos suites garagens dist_b_mar adj_R2
## 443 1 rsqrt sqrt rsqrt identity sqrt rsqrt 0.9480455
## 395 2 rsqrt identity rsqrt identity sqrt rsqrt 0.9477222
## 955 3 rsqrt sqrt rsqrt sqrt sqrt rsqrt 0.9474578
## 907 4 rsqrt identity rsqrt sqrt sqrt rsqrt 0.9472744
## 439 5 rsqrt sqrt log identity sqrt rsqrt 0.9471142
## 951 6 rsqrt sqrt log sqrt sqrt rsqrt 0.9468425
## 391 7 rsqrt identity log identity sqrt rsqrt 0.9466028
## 903 8 rsqrt identity log sqrt sqrt rsqrt 0.9465023
## 411 9 rsqrt log rsqrt identity sqrt rsqrt 0.9460101
## 407 10 rsqrt log log identity sqrt rsqrt 0.9455580
## ...
The number of printed lines may be changed in the print method, if desired:
print(best_fit, n = 20)
The summary method is also available for bestfit objects. The user may find helpful not to use the first model in the table, so in the summary method is possible to choose the desired fit to be used with the fit argument, as follows:
s <- summary(best_fit, fit = 1)
s
## Call:
## bestfit.formula(formula = valor ~ ., data = data)
##
## Best (Chosen) Transformations:
## id valor area_total quartos suites garagens dist_b_mar adj_R2
## 443 1 rsqrt sqrt rsqrt identity sqrt rsqrt 0.9480455
##
## Best (Chosen) fit LM summary:
##
## Call:
## lm(formula = "rsqrt(valor) ~ sqrt(area_total) + rsqrt(quartos) + identity(suites) + sqrt(garagens) + rsqrt(dist_b_mar) + (padrao)",
## data = data, subset = NULL)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.144e-04 -5.344e-05 8.870e-07 4.272e-05 1.729e-04
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.780e-03 1.301e-04 13.681 < 2e-16 ***
## sqrt(area_total) -2.279e-05 5.295e-06 -4.304 9.81e-05 ***
## rsqrt(quartos) 6.561e-04 1.269e-04 5.169 6.14e-06 ***
## identity(suites) -4.240e-05 2.060e-05 -2.058 0.0459 *
## sqrt(garagens) -2.711e-04 4.426e-05 -6.125 2.62e-07 ***
## rsqrt(dist_b_mar) -2.628e-03 5.099e-04 -5.154 6.45e-06 ***
## padraomedio -2.214e-04 4.586e-05 -4.828 1.85e-05 ***
## padraoalto -2.576e-04 4.605e-05 -5.595 1.52e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 8.428e-05 on 42 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.9555, Adjusted R-squared: 0.948
## F-statistic: 128.7 on 7 and 42 DF, p-value: < 2.2e-16
##
## NBR-14.653-2 check:
## Minimum number of market data:
## [1] "n = 53 >= 42 --> Grau III"
## Max significance level allowed for each predictor:
## [1] "t máximo = 4.59 % < 10% --> Grau III"
## Max significance level allowed for F-test:
## [1] "p-valor F = 2.79e-24 % < 1% --> Grau III"
One can note that the summary method performs a linear model with the chosen fit to give the user the possibility to verifie the main diagnostics data of the model.
You can easily update your calls to bestfit
. For this, a update method is made available specific for bestfit objects.
Despite the effort made to find the best transformations there is a possibility that some outliers still be present in the model. The user may search for them with very usual R functions, as outlierTest
available in the car
package:
car::outlierTest(s$fit)
## No Studentized residuals with Bonferonni p < 0.05
## Largest |rstudent|:
## rstudent unadjusted p-value Bonferonni p
## 31 -2.896612 0.0060262 0.30131
With the results of the outlier test, one can update the bestfit
call as follows:
best_fit <- update(best_fit, subset = -31)
summary(best_fit)
## Call:
## bestfit.formula(formula = valor ~ ., data = data, subset = -31)
##
## Best (Chosen) Transformations:
## id valor area_total quartos suites garagens dist_b_mar adj_R2
## 443 1 rsqrt sqrt rsqrt identity sqrt rsqrt 0.9566219
##
## Best (Chosen) fit LM summary:
##
## Call:
## lm(formula = "rsqrt(valor) ~ sqrt(area_total) + rsqrt(quartos) + identity(suites) + sqrt(garagens) + rsqrt(dist_b_mar) + (padrao)",
## data = data, subset = -31)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.335e-04 -6.071e-05 -3.318e-06 4.302e-05 1.744e-04
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.825e-03 1.210e-04 15.085 < 2e-16 ***
## sqrt(area_total) -2.441e-05 4.915e-06 -4.966 1.25e-05 ***
## rsqrt(quartos) 6.301e-04 1.174e-04 5.368 3.41e-06 ***
## identity(suites) -3.761e-05 1.907e-05 -1.972 0.0553 .
## sqrt(garagens) -2.787e-04 4.090e-05 -6.814 3.02e-08 ***
## rsqrt(dist_b_mar) -2.774e-03 4.729e-04 -5.865 6.72e-07 ***
## padraomedio -2.038e-04 4.273e-05 -4.770 2.34e-05 ***
## padraoalto -2.529e-04 4.250e-05 -5.951 5.09e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 7.772e-05 on 41 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.9629, Adjusted R-squared: 0.9566
## F-statistic: 152.2 on 7 and 41 DF, p-value: < 2.2e-16
##
## NBR-14.653-2 check:
## Minimum number of market data:
## [1] "n = 53 >= 42 --> Grau III"
## Max significance level allowed for each predictor:
## [1] "t máximo = 5.53 % < 10% --> Grau III"
## Max significance level allowed for F-test:
## [1] "p-valor F = 2.94e-25 % < 1% --> Grau III"
One can note that without the outlier, the model now perfectly satisfies the main requirements of NBR 14.653-2.
There are two plot functions in appraiseR
: plotdf
and plotmod
. Before any fitting model activity, plotdf
may be used to investigate outliers with the boxplot of the parameters of the model.
plotdf(valor~., data)
Then, once the models are fitted, plotmod
plots regressors against the response variable, with confidence or prediction intervals:
pl <- plotmod(best_fit, interval = "confidence", level = 0.80)
pl
With these plots one verifies if the variables in the model works as predicted by the user.
By default, plotmod
chooses the median values of the predictors other than the one plotted. The local
argument in plotmod
function allows the user to specify the variables plots against the regressor which passes through that local point.
plotmod(best_fit, interval = "confidence", level = 0.80,
local = list(area_total = 205, quartos = 3, suites = 1, garagens = 2,
dist_b_mar = 250, padrao = "medio"))
A third visualization tool in appraiseR is the gen_map
function.
gen_map(centro_2015)
predict
method is also available for bestfit
objects. predict
automatically searchs for newdata in the data frame of the model. predict
does this searching for NA
values in the response variable. If there are such data, then predict
will automatically uses this values as the newdata option. Else, newdata must be explicitly provided to predict.bestfit
, the same way it is done with predict.lm
.
p <- predict(best_fit, interval = "confidence", level = 0.80)
p
## Predictions:
## fit lwr upr AMP G.P. C.A.I. C.A.S. L.I.
## 51 658637.5 721787.1 603426.9 17.97 III 559841.9 757433.2 603426.9
## 52 945582.0 997993.7 897193.2 10.66 III 803744.7 1087419.3 897193.2
## 53 1042721.7 1107561.0 983413.8 11.91 III 886313.4 1199129.9 983413.8
## L.S.
## 51 721787.1
## 52 997993.7
## 53 1107561.0


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