Statistics
Benchmarking IUPred2
The performance of the newest version of IUPred has been tested using customized datasets.
Intrinsically disordered protein regions (IDRs) were taken from the
DisProt database as the positive
testing dataset.
Only IDRs with a length of at least 9 residues were included.
The negative dataset comprises protein regions that are known to represent
independently folding,
stable monomeric units encompassing a single domain according to
CATH definitions. These structures were collected from the PDB and were filtered to
include only one protein region from each UniRef90 sequence cluster.
Structures with flexible residues, as evidenced by highly dissimilar NMR models or missing
X-ray coordinates, were removed.
The positive and negative datasets used for benchmarking can be downloaded from
here and here, respectively.
Database statistics
|
|
Number of residues |
Number of proteins |
| Positive (DisProt) |
84,479 |
1,195 |
| Negative (monomeric structures) |
178,957 |
1,095 |
Using the above bechmark sets, IUPred2 can be characterized with the following binary
classifier measures:
|
|
| Sensitivity (True Positive Rate) |
61.85% |
| Specificity (True Negative Rate) |
94.03% |
| Precision* |
91.20% |
*as the value of precision depends heavily on the relative sizes of the
positive and negative datasets,
the database sizes were scaled to be equal to achieve an unbiased measure
Benchmarking ANCHOR2
The performance of ANCHOR2 was tested on the recently published DIBS database,
as the positive testing dataset. DIBS represens the largest currently available set
of experimentally verified IDRs capable of forming
ordered structures upon binding to protein domains. Only entries not used in the training of
ANCHOR2 were used in testing.
For negative testing, the same monomeric single-domain protein dataset was used as
for testing IUPred2, but allowing for structures with
up to 20% of flexible residues. Only entries not used in the training of ANCHOR2 were used
in testing.
Furthemore, ANCHOR2 was also evaluated on a set of flexible linkers that are disordered but
are known to lack a primary binding function.
To get a fuller picture about the efficiency of ANCHOR2 on sequence sets with different
compositions, two auxiliary datasets were also considered.
The first is composed of disordered regions from DisProt, the next is a collection of random
(decoy) segments from the human proteome excluding
transmembrane regions, structured Pfam domains and extracellular proteins. Both datasets are
expected to contain disordered binding regions,
albeit to a significantly lower extent, compared to DIBS.
The positive, negative, and auxiliary datasets used for benchmarking can be downloaded from
here.
Database statistics
|
|
Number of residues |
Number of proteins |
| Positive (DIBS) |
2,135 |
140 |
| Negative (monomeric structures) |
583,033 |
3,320 |
| Negative (flexible linkers) |
5,425 |
389 |
| Auxiliary (DisProt) |
79,049 |
1,042 |
| Auxiliary (decoy) |
76,860 |
5,040 |
Using the above bechmark sets, ANCHOR2 can be characterized with the following binary
classifier measures.
As ANCHOR often specifically identifies only strongly binding sub-regions inside larger
binding regions,
segment-based sensitivity was also calculated. In this case a binding region was considered
found if it
incorporates at least one ANCHOR-identified region, regardless of possible difference in
length:
|
|
|
Residue-based metrics |
Segment-based metrics |
| Sensitivity (True Positive Rate) |
62.67% |
69.29% |
| Specificity (True Negative Rate on ordered monomers) |
98.26% |
- |
| Specificity (True Negative Rate on flexible linkers) |
94.58% |
- |
| Fraction of predicted binding residues in auxiliary DisProt dataset |
50.00% |
- |
| Fraction of predicted binding residues in auxiliary decoy dataset |
10.93% |
- |
Benchmarking other context dependent features
As currently there are no comprehensive datasets collecting a large number of experimentally
verified
examples for other types of context-dependent IDRs targeted by IUPred2A, the rigorous
testing of these
features are not possible as of yet. In accord, these features are marked as ‘Experimental’.
However, a
number of select examples are available in the How to use section.
|


Swipe right or left.
Download the files here
After unzipping you can browse the js file and the CSS file,
they are linked, so if you copy the code to
your own project check for duplicate names.
The code itself is very well documented so you can read all the comments and follow along.


The specified property returns true if the attribute is specified.
Returns true also if the attribute has been created but not been attached to an element yet.
Otherwise it returns false.
shjskdf
this is also div but with on attriburethis is hsdfkj


Enter expression to solve
NOTE
- Solver does not support subtraction or division. Do not enter expressions with the
"/"
or "-"
symbol.
- Do not enter non-numeric expressions or special characters other than
"+"
, "*"
and "."
.
- Integer and decimal numbers are allowed.
- All results are converted to decimals (Java float).


Our approach was to present the site as a visual editorial patform with quarterly features based on events and occasions the brand was focused on. Each quarterly focus would be marked by the hero and custom tags that filter content.


Our team helps to connect buyers and sellers of financial technology globally. Using the innovative bobsguide platform you can drive buyer-awareness of your company, generate and track sales qualified leads, and position your business and executives as industry leaders. Call us to discuss your requirements EMEA
Stephen Tendulakar +44 (0)11 1111 1111 AMERICAS
Brain Kohli +44 (0)22 2222 2222 APAC
Mike Rahane +44 (0)33 3333 3333 CLIENT SERVICES


{% load otree %}
In this study, you will be in a randomly formed group of {{ Constants.players_per_group }} participants. Each participant in the group is given {{ Constants.endowment }}. The group has the opportunity to undertake a joint project. Each participant in the group decides how much she or he is going to contribute to the project. Contribution could be any integer from 0 to {{ Constants.endowment }}.
The earnings from the project are calculated as follows: The contributions of all {{ Constants.players_per_group }} participants are added up, the total contribution is multiplied by a factor of {{ Constants.multiplier }}, and the resulting amount is the total earnings from the project, which is evenly split among all {{ Constants.players_per_group }} participants. Your payoff equals your earnings from the project, plus the amount you did not contribute.
Example 1:
Example 2:


W3Schools helped me with general CSS styles as well as JavaScript issues.
PokeAPI is the API I am using to create this web app
CSSGradient makes creating css gradients a lot easier and helped me with the gradients I used in this app.
These are the backgrounds I used for the display to match the type of the current pokemon.
I used this image as the background of the entire app.
This image is used for the background of the pokedex display.
The filters update the display and list of pokemon everytime one of them changes to give a more up to date list quicker.
The buttons allow the user to navigate through the list of pokemon one by one. These buttons also react to the filters placed upon the list of pokemon.
The display is updated based on the pokemon the user chooses and it reacts to the type of the pokemon (changes colors and background).


Lost World(1997) ©1997 Matt Petras
Official site:
www.lost-world.com
Length: 129 min (2:09 hours) Rating: *1/2 out of ****
Well if you are up for stellar effects then this is the movie for you. Because thats all that there really is.... I found that after watching this movie it had many many gaps and flaws in simple logic in the Plot.  I am not saying that this isn't possible.. but it does leave one to wonder...I know I did. Another thing is that this movie has sections which are painfully stretched out.... and certain Scenes are repeated essentially but with slight variations. There was one scene that should have been short... but it was horribly stretched and somewhere in the middle of it I found myself thinking.. OK enough already get on with it. There are also times where you have to wonder why things happen the way they do... things just magically happen and there is no prelude or anything of the sort... another thing that I noticed towards the end was that some characters just vanished without a trace but they were fairly major through most of the beginning. This movie is also very predictable... you can almost tell the final story somewhere in the middle and you definitely know what will happen at a given moment.. granted this is hard to omit but here its just blatant it sits there and stares at you. Also some of the things that happen are a little TOO predictable and several cliques are repeated... It gets boring at times to tell you the truth... even though there is still action going on. Another little point I might add is that the main character is supposed to be a quiet chaos mathematician not some Shoot them up type of Hero. Some of the characters are not proper for their roles. The acting is fine but the characters just don't seem to add up. If I was to base my review totally on the plot then I wouldn't rate this movie too highly But that's just the thing this movie isn't just the plot, its the whole package and this package is really well done. The whole movie is really well done and looks really good and if one was to overlook the flaws in the plot and characters then this is really a movie. The special effects are just amazing, you can't tell that the dinosaurs are created it looks like they were there live, in a few instances of course you know its fake but there are other times that you just wouldn't be able to say that the creature wasn't there during filming, extinct or not. Another thing is the Destruction scenes... WOW, those were masterpieces.. well some of them were they were well choreographed and along with the Dino's make this one of the reasons to see this movie. This movie is fairly long but it is action packed so it should do well in the box office.. unfortunately it will take away from Fifth element but alas what can we do.. I may be too cynical for my age but this movie is only worth seeing for the effects and for it few funny moments.. go see it in a matinee if you really must see it its not worth full price if you ask me. One Little side note, although my opinion of this movie may not have been the best the way that this movie was marketed and how many theaters it was shown in Toronto this opening weekend is nothing short of stupid, there were 10 theater movie theaters that were playing this movie around the clock I think that some people really want money badly.... and I think that this type of activity hurts the movie industry let the other movies also have a chance.... you know any movie with that much play would succeed even if it was the worst movie ever made..... I thought I'd put this here to deflate the movie hype about this flick... its not that bad a movie but its not THAT great either hope you people realize this.
May 23, 1997
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


val access_token: String
Access token that will be used throughout the SDK to make requests.
access_token - Access token that will be used throughout the SDK to make requests.
access_token


The iron condor can be long or short.
This is a limited-reward-limited-risk strategy. The payoff is
$$ \begin{array}{rcll} C^{far}_T & = & (S_T - K^C_{far})^{+}\\ C^{near}_T & = & (S_T - K^C_{near})^{+}\\ P^{far}_T & = & (K^P_{far} - S_T)^{+}\\ P^{near}_T & = & (K^P_{near} - S_T)^{+}\\ P_T & = & (C^{near}_T + P^{near}_T - C^{far}_T - P^{far}_T - C^{near}_0 - P^{near}_0 + C^{far}_0 + P^{far}_0)\times m - fee \end{array} $$ $$ \begin{array}{rcll} \textrm{where} & C^{far}_T & = & \textrm{Far OTM call value at time T}\\ & C^{near}_T & = & \textrm{Near OTM call value at time T}\\ & P^{far}_T & = & \textrm{Far OTM put value at time T}\\ & P^{near}_T & = & \textrm{Near ATM put value at time T}\\ & S_T & = & \textrm{Underlying asset price at time T}\\ & K^C_{far} & = & \textrm{Far OTM call strike price}\\ & K^C_{near} & = & \textrm{Near OTM call strike price}\\ & K^P_{far} & = & \textrm{Far OTM put strike price}\\ & K^P_{near} & = & \textrm{Near OTM put strike price}\\ & P_T & = & \textrm{Payout total at time T}\\ & C^{far}_0 & = & \textrm{Far OTM call value at position opening (credit received)}\\ & C^{near}_0 & = & \textrm{Near OTM call value at position opening (debit paid)}\\ & P^{far}_0 & = & \textrm{Far OTM put value at position opening (credit received)}\\ & P^{near}_0 & = & \textrm{Near OTM put value at position opening (debit paid)}\\ & m & = & \textrm{Contract multiplier}\\ & T & = & \textrm{Time of expiration} \end{array} $$The following chart shows the payoff at expiration:
The maximum profit is $K^C_{far} - K^C_{near} - C^{near}_0 - P^{near}_0 + C^{far}_0 + P^{far}_0$, where $K^P_{OTM} > S_T$ or $S_T > K^C_{OTM}$.
The maximum loss is the net debit paid: $C^{far}_0 + P^{far}_0 - C^{near}_0 - P^{near}_0$, where $K^P_{OTM} < S_T < K^C_{OTM}$.
If the Option is American Option, there is a risk of early assignment on the sold contracts.
This is a limited-reward-limited-risk strategy. The payoff is
$$ \begin{array}{rcll} C^{far}_T & = & (S_T - K^C_{far})^{+}\\ C^{near}_T & = & (S_T - K^C_{near})^{+}\\ P^{far}_T & = & (K^P_{far} - S_T)^{+}\\ P^{near}_T & = & (K^P_{near} - S_T)^{+}\\ P_T & = & (C^{far}_T + P^{far}_T - C^{near}_T - P^{near}_T - C^{far}_0 - P^{far}_0 + C^{near}_0 + P^{near}_0)\times m - fee \end{array} $$ $$ \begin{array}{rcll} \textrm{where} & C^{far}_T & = & \textrm{Far OTM call value at time T}\\ & C^{near}_T & = & \textrm{Near OTM call value at time T}\\ & P^{far}_T & = & \textrm{Far OTM put value at time T}\\ & P^{near}_T & = & \textrm{Near ATM put value at time T}\\ & S_T & = & \textrm{Underlying asset price at time T}\\ & K^C_{far} & = & \textrm{Far OTM call strike price}\\ & K^C_{near} & = & \textrm{Near OTM call strike price}\\ & K^P_{far} & = & \textrm{Far OTM put strike price}\\ & K^P_{near} & = & \textrm{Near OTM put strike price}\\ & P_T & = & \textrm{Payout total at time T}\\ & C^{far}_0 & = & \textrm{Far OTM call value at position opening (credit received)}\\ & C^{near}_0 & = & \textrm{Near OTM call value at position opening (debit paid)}\\ & P^{far}_0 & = & \textrm{Far OTM put value at position opening (credit received)}\\ & P^{near}_0 & = & \textrm{Near OTM put value at position opening (debit paid)}\\ & m & = & \textrm{Contract multiplier}\\ & T & = & \textrm{Time of expiration} \end{array} $$The following chart shows the payoff at expiration:
The maximum profit is the net credit received after commission when opening the trade, where $K^P_{OTM} < S_T < K^C_{OTM}$.
The maximum loss is $K^C_{far} - K^C_{near} + C^{near}_0 + P^{near}_0 - C^{far}_0 - P^{far}_0$, where $K^P_{OTM} > S_T$ or $S_T > K^C_{OTM}$.
If the Option is American Option, there is risk of early assignment on the sold contracts.


This indicates to Xyla how to tag your {{ entityLevel | entityDisplayName:channel:'plural'}}.
It must be included in the name of each {{ entityLevel | entityDisplayName:channel }} that
uses this naming convention.
This ID is already in use for {{ entityLevel | entityDisplayName:channel:'plural' }} on {{ChannelOps.channelOptions[channel].displayName}}


{% extends "__base.html" %} {% import 'bootstrap/wtf.html' as wtf %} {% block app_content %}
This app is inspired by the TV show, "Silicon Valley", where the character Jian Yang created an app that can determine if the object in a picture is a sausage or not.
{% if image_analysis %} {% if image_analysis['is_adult_content'] %}You uploaded {% if image_analysis['is_racy_content'] %} a very sexy {% else %} an {% endif %} adult-only image!
You uploaded this image:
You guessed that it is "{{ human_label }}" .
{% if image_analysis['error_message'] %}The machine failed to do its job: "{{ image_analysis['error_message'] }}"
{% else %}The machine guessed the following:
Upload an image and what you think is the main object in that image.
(It doesn't have to be a sausage!)


Notepad Will Corrupt Your Data
Summary
The notepad.exe built into Windows will silently convert characters represented in binary as all zeros into spaces. Don’t use notepad to edit files that contain ANY binary data, such as digital signatures. There are other editors that will not convert the null characters, I use and recommend Notepad++.
Observing the Issue
Recently I worked on a development project involving cryptography and digital signatures. If you aren’t familiar with digital signatures, they can be briefly described as a way to securely “sign” some content so a receiver can verify that the content actually came from a particular verified party. This is very useful since electronic communication, unlike face to face communication, offers little innate assurance of whom you’re speaking with. You definitely want some assurance an electronic message that says “sell all your stock” actually came from your broker! If you’d like to learn more about how digital signatures work, try doing some internet searches on “public key encryption” or “public key cryptography”.
One approach to digital signatures is using a single file with both the content being signed and the signature itself (technical background: I was processing AS2 messages, but that’s not important to the discussion). Here’s a simple example of a short text message with a corresponding signature for it (although you could sign other media types like sound or picture files). We can see the plain text message, and some of the signature itself is just plain text. But because this is binary it has bytes that are all zero, which in text is represented as a null character. Notepad++ shows these as NUL, but Notepad converts them into regular spaces.
(screenshots from each)
Here’s what happens when we save this digital signature with notepad.exe. When we reopen it in Notepad++, we can see that notepad converted the null characters into spaces.
The binary data is now corrupted. Bytes of all zero aren’t significant in text because they represent a null character that no one is going to miss, or even usually see. They are very significant in binary data, however. In this particular case, when the null characters are changed the signature will no longer validate because it has been altered, a potential sign of tampering.
There are two lessons here. The first is not to be lulled into thinking binary data can be treated as text, even if a lot of it LOOKS like text. The second is don’t ever, ever use notepad with binary data. My personal preference is to never, ever use notepad anyway; I ran into this issue when I received some signatures from someone else. There are so many better alternatives available like Notepad++, Sublime, e, Notepad2, Ultraedit…well, you get the idea. Find one that works for you and throw away notepad.exe!


THB Memory
Description
This block is a memory block for a complete THB.
Inputs
| Input | Unit |
|---|---|
| THB_in | various |
Outputs
| Output | Unit |
|---|---|
| THB_out | various |
Parameters - value pane
| Parameter | Unit |
|---|---|
| Fluid ID | 1 |
| Temperature | °C |
| Mass flow rate | kg/s |
| Pressure | Pa |
| Fluid type | enum |
| Fluid mix | 1 |
| Diameter of the last piece | m |
| Constant pressure drop coefficient | Pa |
| Linear pressure drop coefficient | Pa/(kg/s) |
| Quadratic pressure drop coefficient | Pa/(kg/s)2 |
| Hydraulic inductance | 1/m |
| Geodetic height | m |
Parameters - annotation pane
| Parameter | Unit |
|---|---|
| Fluid ID as annotation | - |
| Temperature as annotation | - |
| Mass flow rate as annotation | - |
| Pressure as annotation | - |
| Fluid type as annotation | - |
| Fluid mix as annotation | - |
| Diameter of the last piece as annotation | - |
| Constant pressure drop coefficient as annotation | - |
| Linear pressure drop coefficient as annotation | - |
| Quadratic pressure drop coefficient as annotation | - |
| Hydraulic inductance as annotation | - |
| Geodetic height as annotation | - |
Function
This block can be used like a Simulink Memory block, but for a THB.


Python Lambda Functions with EXAMPLES
What is Lambda?
Lambdas, also known as anonymous functions, are small, restricted functions which do not need a name (i.e., an identifier). Lambda functions were first introduced to the field of mathematics by Alonzo Church in the 1930s.
Today, many modern programming languages like Java, Python, C#, and C++ support lambda functions to add functionality to the languages.
In this Lambda tutorial, you will learn:
- What is Lambda?
- Lambdas in Python
- Syntax and Examples
- Using lambdas with Python built-ins
- lambdas in filter()
- lambdas in map()
- lambdas in reduce()
- Why (and why not) use lambda functions?
- Lambdas vs. Regular functions
Lambdas in Python
In Python, lambda expressions (or lambda forms) are utilized to construct anonymous functions. To do so, you will use the lambda keyword (just as you use def to define normal functions).
Every anonymous function you define in Python will have 3 essential parts:
- The lambda keyword.
- The parameters (or bound variables), and
- The function body.
A lambda function can have any number of parameters, but the function body can only contain one expression.
Moreover, a lambda is written in a single line of code and can also be invoked immediately. You will see all this in action in the upcoming examples.
Syntax and Examples
The formal syntax to write a lambda function is as given below:
lambda p1, p2: expression
Here, p1 and p2 are the parameters which are passed to the lambda function. You can add as many or few parameters as you need.
However, notice that we do not use brackets around the parameters as we do with regular functions. The last part (expression) is any valid python expression that operates on the parameters you provide to the function.
Example 1
Now that you know about lambdas let's try it with an example. So, open your IDLE and type in the following:
adder = lambda x, y: x + y
print (adder (1, 2))
Here is the output:
3
Code Explanation
Here, we define a variable that will hold the result returned by the lambda function.
1. The lambda keyword used to define an anonymous function.
2. x and y are the parameters that we pass to the lambda function.
3. This is the body of the function, which adds the 2 parameters we passed. Notice that it is a single expression. You cannot write multiple statements in the body of a lambda function.
4. We call the function and print the returned value.
Example 2
That was a basic example to understand the fundamentals and syntax of lambda. Let's now try to print out a lambda and see the result. Again, open your IDLE and type in the following:
#What a lambda returns
string='some kind of a useless lambda'
print(lambda string : print(string))
Now save your file and hit F5 to run the program. This is the output you should get.
Output:
<function <lambda> at 0x00000185C3BF81E0>
What's happening here? Let's look at the code to understand further.
Code Explanation
- Here, we define a string that you'll pass as a parameter to the lambda.
- We declare a lambda that calls a print statement and prints the result.
But why doesn't the program print the string we pass? This is because the lambda itself returns a function object. In this example, the lambda is not being called by the print function but simply returning the function object and the memory location where it is stored. That's what gets printed at the console.
Example 3
However, if you write a program like this:
#What a lambda returns #2
x="some kind of a useless lambda"
(lambda x : print(x))(x)
And run it by hitting F5, you'll see an output like this.
 But what is that weird syntax, and why is the lambda definition covered in brackets? Let's understand that now.
Code Explanation
- Here is the same string we defined in the previous example.
- In this part, we are defining a lambda and calling it immediately by passing the string as an argument. This is something called an IIFE, and you'll learn more about it in the upcoming sections of this tutorial.
Example 4
Let's look at a final example to understand how lambdas and regular functions are executed. So, open your IDLE and in a new file, type in the following:
#A REGULAR FUNCTION
def girish( funct, *args ):
funct( *args )
def printer_one( arg ):
return print (arg)
def printer_two( arg ):
print(arg)
#CALL A REGULAR FUNCTION
girish( printer_one, 'printer 1 REGULAR CALL' )
girish( printer_two, 'printer 2 REGULAR CALL \n' )
#CALL A REGULAR FUNCTION THRU A LAMBDA
girish(lambda: printer_one('printer 1 LAMBDA CALL'))
girish(lambda: printer_two('printer 2 LAMBDA CALL'))
Now, save the file and hit F5 to run the program. If you didn't make any mistakes, the output should be something like this.
Output:
printer 1 REGULAR CALL
printer 2 REGULAR CALL
printer 1 LAMBDA CALL
printer 2 LAMBDA CALL
Code Explanation
- A function called girish that takes another function as the first parameter and any other arguments following it.
- printer_one is a simple function which prints the parameter passed to it and returns it.
- printer_two is similar to printer_one but without the return statement.
- In this part, we are calling the girish function and passing the printer functions and a string as parameters.
- This is the syntax to achieve the fourth step (i.e., calling the girish function) but using lambdas.
In the next section, you will learn how to use lambda functions with map(), reduce(), and filter() in Python.
Using lambdas with Python built-ins
Lambda functions provide an elegant and powerful way to perform operations using built-in methods in Python. It is possible because lambdas can be invoked immediately and passed as an argument to these functions.
IIFE in Python Lambda
IIFE stands for immediately invoked function execution. It means that a lambda function is callable as soon as it is defined. Let's understand this with an example; fire up your IDLE and type in the following:
(lambda x: x + x)(2)
Here is the output and code explanation:
This ability of lambdas to be invoked immediately allows you to use them inside functions like map() and reduce(). It is useful because you may not want to use these functions again.
lambdas in filter()
The filter function is used to select some particular elements from a sequence of elements. The sequence can be any iterator like lists, sets, tuples, etc.
The elements which will be selected is based on some pre-defined constraint. It takes 2 parameters:
- A function that defines the filtering constraint
- A sequence (any iterator like lists, tuples, etc.)
For example,
sequences = [10,2,8,7,5,4,3,11,0, 1]
filtered_result = filter (lambda x: x > 4, sequences)
print(list(filtered_result))
Here's the output:
[10, 8, 7, 5, 11]
Code Explanation:
1. In the first statement, we define a list called sequences which contains some numbers.
2. Here, we declare a variable called filtered_result, which will store the filtered values returned by the filter() function.
3. A lambda function which runs on each element of the list and returns true if it is greater than 4.
4. Print the result returned by the filter function.
lambdas in map()
the map function is used to apply a particular operation to every element in a sequence. Like filter(), it also takes 2 parameters:
- A function that defines the op to perform on the elements
- One or more sequences
For example, here is a program that prints the squares of numbers in a given list:
sequences = [10,2,8,7,5,4,3,11,0, 1]
filtered_result = map (lambda x: x*x, sequences)
print(list(filtered_result))
Output:
[100, 4, 64, 49, 25, 16, 121, 0, 1]
[KR1]
Code Explanation:
- Here, we define a list called sequences which contains some numbers.
- We declare a variable called filtered_result which will store the mapped values
- A lambda function which runs on each element of the list and returns the square of that number.
- Print the result returned by the map function.
lambdas in reduce[vV2][J3]()
The reduce function, like map(), is used to apply an operation to every element in a sequence. However, it differs from the map in its working. These are the steps followed by the reduce() function to compute an output:
Step 1) Perform the defined operation on the first 2 elements of the sequence.
Step 2) Save this result
Step 3) Perform the operation with the saved result and the next element in the sequence.
Step 4) Repeat until no more elements are left.
It also takes two parameters:
- A function that defines the operation to be performed
- A sequence (any iterator like lists, tuples, etc.)
For example, here is a program that returns the product of all elements in a list:
from functools import reduce
sequences = [1,2,3,4,5]
product = reduce (lambda x, y: x*y, sequences)
print(product)
Here is the output:
120
Code Explanation:
- Import reduce from the functools module
- Here, we define a list called sequences which contains some numbers.
- We declare a variable called product which will store the reduced value
- A lambda function that runs on each element of the list. It will return the product of that number as per the previous result.
- Print the result returned by the reduce function.
Why (and why not) use lambda functions?
As you will see in the next section, lambdas are treated the same as regular functions at the interpreter level. In a way, you could say that lambdas provide compact syntax for writing functions which return a single expression.
However, you should know when it is a good idea to use lambdas and when to avoid them. In this section, you will learn some of the design principles used by python developers when writing lambdas.
One of the most common use cases for lambdas is in functional programming as Python supports a paradigm (or style) of programming known as functional programming.
It allows you to provide a function as a parameter to another function (for example, in map, filter, etc.). In such cases, using lambdas offer an elegant way to create a one-time function and pass it as the parameter.
When should you not use Lambda?
You should never write complicated lambda functions in a production environment. It will be very difficult for coders who maintain your code to decrypt it. If you find yourself making complex one-liner expressions, it would be a much superior practice to define a proper function. As a best practice, you need to remember that simple code is always better than complex code.
Lambdas vs. Regular functions
As previously stated, lambdas are[vV4][J5] just functions which do not have an identifier bound to them. In simpler words, they are functions with no names (hence, anonymous). Here is a table to illustrate the difference between lambdas and regular functions in python.
Lambdas
Regular Functions
Syntax:
lambda x : x + x
Syntax:
def (x) :
return x + x
Lambda functions can only have one expression in their body.
Regular functions can have multiple expressions and statements in their body.
Lambdas do not have a name associated with them. That's why they are also known as anonymous functions.
Regular functions must have a name and signature.
Lambdas do not contain a return statement because the body is automatically returned.
Functions which need to return value should include a return statement.
Explanation of the differences?
The primary difference between a lambda and a regular function is that the lambda function evaluates only a single expression and yields a function object. Consequently, we can name the result of the lambda function and use it in our program as we did in the previous example.
A regular function for the above example would look like this:
def adder (x, y):
return x + y
print (adder (1, 2))
Here, we have to define a name for the function which returns the result when we call it. A lambda function doesn't contain a return statement because it will have only a single expression which is always returned by default. You don't even have to assign a lambda either as it can be immediately invoked (see the next section). As you will see in the following example, lambdas become particularly powerful when we use them with Python's built-in functions.
However, you may still be wondering how lambdas are any different from a function that returns a single expression (like the one above). At the interpreter level, there is not much difference. It may sound surprising, but any lambda function that you define in Python is treated as a normal function by the interpreter.
As you can see in the diagram, the two definitions are handled in the same way by the python interpreter when converted to bytecode. Now, you cannot name a function lambda because it is reserved by Python, but any other function name will yield the same bytecode[KR6].
Summary
- Lambdas, also known as anonymous functions, are small, restricted functions which do not need a name (i.e., an identifier).
- Every lambda function in Python has 3 essential parts:
- The lambda keyword.
- The parameters (or bound variables), and
- The function body.
- The syntax for writing a lambda is: lambda parameter: expression
- Lambdas can have any number of parameters, but they are not enclosed in braces
- A lambda can have only 1 expression in its function body, which is returned by default.
- At the bytecode level, there is not much difference between how lambdas and regular functions are handled by the interpreter.
- Lambdas support IIFE thru this syntax: (lambda parameter: expression)(argument)
- Lambdas are commonly used with the following python built-ins:
- Filter: filter (lambda parameter: expression, iterable-sequence)
- Map: map (lambda parameter: expression, iterable-sequences)
- Reduce: reduce (lambda parameter1, parameter2: expression, iterable-sequence)
- Do not write complicated lambda functions in a production environment because it will be difficult for code-maintainers.


Toggle navigation
Project WHJSLS
File Not Found!
The file is not exists, please check any typo mistake or error!
If you think it should be exists, please report this as a bug.
Report Bug


This is a minimum sample in PHP5.
First edit this file and enter your app's Client ID and Client Secret. Create your own app on the developer portal.
To use this sample you need a model URN. Please upload a model on models.autodesk.io
Specify a model URN:
The model whose URN you paste here must have been uploaded using the same app that is used by this web page.
Unless you modified the code and now it's using your own app's Client ID and Client Secret it won't be able to show your models.
Here is the URN of a model that was uploaded using the app's original keys and so should be viewable:
dXJuOmFkc2sub2JqZWN0czpvcy5vYmplY3Q6cGhwb25hZGFtZW5hZ3kvaVByb3BlcnRpZXNUZXN0LmlwdA


Hello World!
This DOM is very useful.
This example demonstrates the document.documentElement property.


HTML5 & CSS3
Transitions & Animations
Presented by Ivo Kostovski & Ivan Lazarevski
© 2020/2021 Seavus Education & Development Center
Lesson Overview
- Introduction
- Transitions
- Shorthand Transitions
- Animations
- Customizing Animations
- Shorthand Animations
Introduction
- One evolution with CSS3 was the ability to write behaviors for transitions and animations.
- With CSS3 transitions you have the potential to alter the appearance and behavior of an element whenever a state change occurs, such as when it is hovered over, focused on, active, or targeted.
Introduction (2)
- Animations within CSS3 allow the appearance and behavior of an element to be altered in multiple keyframes.
- Transitions provide a change from one state to another, while animations can set multiple points of transition upon different keyframes.
Transitions
- As mentioned, for a transition to take place, an element must have a change in state, and different styles must be identified for each state.
- The easiest way for determining styles for different states is by using the :hover, :focus, :active, and :target pseudo-classes.
Transitions (2)
- There are four transition related properties in total, including transition-property, transition-duration, transition-timing-function, and transition-delay.
- Not all of these are required to build a transition.
HTML

Box

CSS
.box {
background: #2db34a;
border-radius: 6px;
height: 95px;
width: 95px;
line-height: 95px;
text-align: center;
/* Transition properties */
transition-property: background;
transition-duration: 1s;
transition-timing-function: linear;
}
.box:hover {
background: #ff7b29;
}
Vendor Prefixes
- Browser vendors sometimes add prefixes to experimental or nonstandard CSS properties, so developers can experiment but changes in browser behavior don't break the code during the standards process.
- Developers should wait to include the unprefixed property until browser behavior is standardized.
Vendor Prefixes (2)
Most used:
- -webkit- (Chrome, Safari, newer versions of Opera)
- -moz- (Firefox)
- -o- (Old versions of Opera)
- -ms- (Internet Explorer, Edge)
CSS
.box {
background: #2db34a;
/* Transition properties */
-webkit-transition-property: background;
-moz-transition-property: background;
-o-transition-property: background;
transition-property: background;
-webkit-transition-duration: 1s;
-moz-transition-duration: 1s;
-o-transition-duration: 1s;
transition-duration: 1s;
-webkit-transition-timing-function: linear;
-moz-transition-timing-function: linear;
-o-transition-timing-function: linear;
transition-timing-function: linear;
}
.box:hover {
background: #ff7b29;
}
Transitional Property
- The transition-property property determines exactly what properties will be altered in conjunction with the other transitional properties.
- By default, all of the properties within an element’s different states will be altered upon change. However, only the properties identified within the transition-property value will be affected by any transitions.
Transitional Property (2)
- If multiple properties need to be transitioned they may be comma separated within the transition-property value.
- Additionally, the keyword value all may be used to transition all properties of an element.
HTML

Box

CSS
.box2 {
color: #fff;
background: #2db34a;
border-radius: 6px;
height: 95px;
width: 95px;
line-height: 95px;
text-align: center;
/* Transition properties */
transition-property: background, border-radius;
transition-duration: .5s;
transition-timing-function: linear;
}
.box2:hover {
background: #ff7b29;
border-radius: 50%;
}
Transition Properties
- It is important to note, not all properties may be transitioned, only properties that have an identifiable halfway point.
- Colors, font sizes, and the alike may be transitioned from one value to another as they have recognizable values in-between one another.
- The display property, for example, may not be transitioned as it does not have any midpoint.
Transition Properties (2)
- background-color, background-position
- border-color, border-width, border-spacing
- left, rigth, top, bottom
- color, opacity
- font-size, font-weight, letter-spacing, word-spacing, line-height, text-indent
- width, height, max-width, max-heaight, min-width, min-height
- padding, margin
- text-shadow
- visibility
- z-index
- vertical-align
- outline-color, outline-offset, outline-width
Transition Duration
- The duration in which a transition takes place is set using the transition-duration property.
- The value of this property can be set using general timing values, including seconds (s) and milliseconds (ms).
- These timing values may also come in fractional measurements, .2s for example.
Transition Duration (2)
- When transitioning multiple properties you can set multiple durations, one for each property using comma separated values.
- The order of these values when identifying individual properties and durations does matter.
- For example, the first property identified within the transition-property property will match up with the first time identified within the transition-duration property, and so forth.
Transition Timing Function
- The transition-timing-function property is used to set the speed in which a transition will move.
- Knowing the duration from the transition-duration property a transition can have multiple speeds within a single duration.
- A few of the more popular keyword values for the transition-timing-function property include linear, ease-in, ease-out, and ease-in-out.
Transition Timing Function (2)
- ease - specifies a transition effect with a slow start, then fast, then end slowly (this is default)
- linear - specifies a transition effect with the same speed from start to end
- ease-in - specifies a transition effect with a slow start
- ease-out - specifies a transition effect with a slow end
- ease-in-out - specifspecifies a transition effect with a slow start and end
- cubic-bezier(n,n,n,n) - lets you define your own values in a cubic-bezier function See here
Transition Delay
- On top of declaring the transition property, duration, and timing function, you can also set a delay with the transition-delay property.
- The delay sets a time value, seconds or milliseconds, that determines how long a transition should be stalled before executing.
- As with all other transition properties, to delay numerous transitions, each delay can be declared as comma separated values.
Shorthand Transitions
- Declaring every transition property individually can become quite intensive, especially with vendor prefixes.
- Fortunately there is a shorthand property, transition, capable of supporting all of these different properties and values.
- Using the transition value alone, you can set every transition value in the order of transition-property, transition-duration, transition-timing-function, and lastly transition-delay.
- Do not use commas with these values unless you are identifying numerous transitions.
CSS
.box {
color: #fff;
background: #2db34a;
border-radius: 6px;
height: 95px;
line-height: 95px;
text-align: center;
/* Shorthand Transition properties */
transition: background .2s linear .5s, border-radius 1s ease-in 1s;
}
.box:hover {
color: #ff7b29;
border-radius: 50%;
}
Transforms
- With CSS3 came new ways to position and alter elements.
- Now general layout techniques can be revisited with alternative ways to size, position, and change elements.
- All of these new techniques are made possible by the transform property.
Transforms (2)
- The transform property comes in two different settings, two-dimensional and three-dimensional.
- Each of these come with their own individual properties and values.
Transform Syntax
- The actual syntax for the transform property is quite simple, including the transform property followed by the value.
div {
-webkit-transform: scale(1.5, 1.5);
-moz-transform: scale(1.5, 1.5);
-o-transform: scale(1.5, 1.5);
transform: scale(1.5, 1.5);
}
Property Values
- translate(x,y), translate3d(x,y,z), translateX(x), translateY(y), translateZ(z)
- scale(x,y), scale3d(x,y,z), scaleX(x), scaleY(y), scaleZ(z)
- rotate(angle), rotate3d(x,y,z,angle), rotateX(angle), rotateY(angle), rotateZ(angle)
- skew(x-angle,y-angle), skewX(angle), skewY(angle)
- perspective(n)
- initial, inherit
Animations
- Transitions do a great job of building out visual interactions from one state to another, and are perfect for these kinds of single state changes.
- However, when more control is required, transitions need to have multiple states.
- In return, this is where animations pick up where transitions leave off.
Animation Keyframes
- To set multiple points at which an element should undergo a transition, use the @keyframes rule.
- The @keyframes rule includes the animation name, any animation breakpoints, and the properties intended to be animated.
Animation
@keyframes slide {
0% {
left: 0;
top: 0;
}
50% {
left: 244px;
top: 100px;
}
100% {
left: 488px;
top: 0;
}
}
Animation Name
- Once the keyframes for an animation have been declared they need to be assigned to an element.
- To do so, the animation-name property is used with the animation name, identified from the @keyframes rule, as the property value.
- The animation-name declaration is applied to the element in which the animation is to be applied to.
.stage:hover .ball {
animation-name: slide;
}
Using the animation-name property alone isn’t enough though. You also need to declare an animation-duration property and value so that the browser knows how long an animation should take to complete.
Animation Duration, Timing Function, & Delay
- Once you have declared the animation-name property on an element, animations behave similarly to transitions.
- They include a duration, timing function, and delay if desired.
- To start, animations need a duration declared using the animation-duration property.
- As with transitions, the duration may be set in seconds or milliseconds.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
}
Animation Duration, Timing Function, & Delay (2)
- A timing function and delay can be declared using the animation-timing-function and animation-delay properties respectively.
- The values for these properties mimic and behave just as they do with transitions.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
animation-timing-function: ease-in-out;
animation-delay: .5s;
}
Customizing Animations
Animations also provide the ability to further customize an element’s behavior, including the ability to declare the number of times an animation runs, as well as the direction in which an animation completes.
- Animation Iteration
- Animation Direction
- Animation Play State
- Animation Fill Mode
Animation Iteration
- By default, animations run their cycle once from beginning to end and then stop.
- To have an animation repeat itself numerous times the animation-iteration-count property may be used.
- Values for the animation-iteration-count property include either an integer or the infinite keyword.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
animation-timing-function: ease-in-out;
animation-delay: .5s;
animation-iteration-count: infinite;
}
Animation Direction
- On top of being able to set the number of times an animation repeats, you may also declare the direction an animation completes using the animation-direction property.
- Values for the animation-direction property include normal, reverse, alternate, and alternate-reverse.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
animation-timing-function: ease-in-out;
animation-delay: .5s;
animation-iteration-count: infinite;
animation-direction: alternate;
}
Animation Play State
- The animation-play-state property allows an animation to be played or paused using the running and paused keyword values respectively.
- When you play a paused animation, it will resume running from its current state rather than starting from the very beginning again.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
animation-timing-function: ease-in-out;
animation-delay: .5s;
animation-iteration-count: infinite;
animation-direction: alternate;
}
.stage:active .ball {
animation-play-state: paused;
}
Animation Fill Mode
- The animation-fill-mode property identifies how an element should be styled either before, after, or before and after an animation is run.
- The animation-fill-mode property accepts four keyword values, including none, forwards, backwards, and both.
.stage:hover .ball {
animation-name: slide;
animation-duration: 2s;
animation-timing-function: ease-in-out;
animation-delay: .5s;
animation-fill-mode: forwards;
}
.stage:active .ball {
animation-play-state: paused;
}
Shorthand Animations
- Fortunately animations, just like transitions, can be written out in a shorthand format.
- This is accomplished with one animation property, rather than multiple declarations.
- The order of values within the animation property should be animation-name, animation-duration, animation-timing-function, animation-delay, animation-iteration-count, animation-direction, animation-fill-mode, and lastly animation-play-state.
.stage:hover .ball {
animation: slide 2s ease-in-out .5s infinite alternate;
}
.stage:active .ball {
animation-play-state: paused;
}


Java Programming Guide
The Spark Java API exposes all the Spark features available in the Scala version to Java. To learn the basics of Spark, we recommend reading through the Scala programming guide first; it should be easy to follow even if you don’t know Scala. This guide will show how to use the Spark features described there in Java.
The Spark Java API is defined in the
spark.api.java
package, and includes
a JavaSparkContext
for
initializing Spark and JavaRDD
classes,
which support the same methods as their Scala counterparts but take Java functions and return
Java data and collection types. The main differences have to do with passing functions to RDD
operations (e.g. map) and handling RDDs of different types, as discussed next.
Key Differences in the Java API
There are a few key differences between the Java and Scala APIs:
- Java does not support anonymous or first-class functions, so functions must
be implemented by extending the
spark.api.java.function.Function
,Function2
, etc. classes. - To maintain type safety, the Java API defines specialized Function and RDD
classes for key-value pairs and doubles. For example,
JavaPairRDD
stores key-value pairs. - RDD methods like
collect()
andcountByKey()
return Java collections types, such asjava.util.List
andjava.util.Map
. - Key-value pairs, which are simply written as
(key, value)
in Scala, are represented by thescala.Tuple2
class, and need to be created usingnew Tuple2<K, V>(key, value)
.
RDD Classes
Spark defines additional operations on RDDs of key-value pairs and doubles, such
as reduceByKey
, join
, and stdev
.
In the Scala API, these methods are automatically added using Scala’s implicit conversions mechanism.
In the Java API, the extra methods are defined in the
JavaPairRDD
and JavaDoubleRDD
classes. RDD methods like map
are overloaded by specialized PairFunction
and DoubleFunction
classes, allowing them to return RDDs of the appropriate
types. Common methods like filter
and sample
are implemented by
each specialized RDD class, so filtering a PairRDD
returns a new PairRDD
,
etc (this acheives the “same-result-type” principle used by the Scala collections
framework).
Function Classes
The following table lists the function classes used by the Java API. Each
class has a single abstract method, call()
, that must be implemented.
| Class | Function Type |
|---|---|
| Function<T, R> | T => R |
| DoubleFunction<T> | T => Double |
| PairFunction<T, K, V> | T => Tuple2<K, V> |
| FlatMapFunction<T, R> | T => Iterable<R> |
| DoubleFlatMapFunction<T> | T => Iterable<Double> |
| PairFlatMapFunction<T, K, V> | T => Iterable<Tuple2<K, V>> |
| Function2<T1, T2, R> | T1, T2 => R (function of two arguments) |
Storage Levels
RDD storage level constants, such as MEMORY_AND_DISK
, are
declared in the spark.api.java.StorageLevels class. To
define your own storage level, you can use StorageLevels.create(…).
Other Features
The Java API supports other Spark features, including accumulators, broadcast variables, and caching.
Example
As an example, we will implement word count using the Java API.
import spark.api.java.*;
import spark.api.java.function.*;
JavaSparkContext sc = new JavaSparkContext(...);
JavaRDD<String> lines = ctx.textFile("hdfs://...");
JavaRDD<String> words = lines.flatMap(
new FlatMapFunction<String, String>() {
public Iterable<String> call(String s) {
return Arrays.asList(s.split(" "));
}
}
);
The word count program starts by creating a JavaSparkContext
, which accepts
the same parameters as its Scala counterpart. JavaSparkContext
supports the
same data loading methods as the regular SparkContext
; here, textFile
loads lines from text files stored in HDFS.
To split the lines into words, we use flatMap
to split each line on
whitespace. flatMap
is passed a FlatMapFunction
that accepts a string and
returns an java.lang.Iterable
of strings.
Here, the FlatMapFunction
was created inline; another option is to subclass
FlatMapFunction
and pass an instance to flatMap
:
class Split extends FlatMapFunction<String, String> {
public Iterable<String> call(String s) {
return Arrays.asList(s.split(" "));
}
);
JavaRDD<String> words = lines.flatMap(new Split());
Continuing with the word count example, we map each word to a (word, 1)
pair:
import scala.Tuple2;
JavaPairRDD<String, Integer> ones = words.map(
new PairFunction<String, String, Integer>() {
public Tuple2<String, Integer> call(String s) {
return new Tuple2(s, 1);
}
}
);
Note that map
was passed a PairFunction<String, String, Integer>
and
returned a JavaPairRDD<String, Integer>
.
To finish the word count program, we will use reduceByKey
to count the
occurrences of each word:
JavaPairRDD<String, Integer> counts = ones.reduceByKey(
new Function2<Integer, Integer, Integer>() {
public Integer call(Integer i1, Integer i2) {
return i1 + i2;
}
}
);
Here, reduceByKey
is passed a Function2
, which implements a function with
two arguments. The resulting JavaPairRDD
contains (word, count)
pairs.
In this example, we explicitly showed each intermediate RDD. It is also possible to chain the RDD transformations, so the word count example could also be written as:
JavaPairRDD<String, Integer> counts = lines.flatMap(
...
).map(
...
).reduceByKey(
...
);
There is no performance difference between these approaches; the choice is just a matter of style.
Javadoc
We currently provide documentation for the Java API as Scaladoc, in the
spark.api.java
package, because
some of the classes are implemented in Scala. The main downside is that the types and function
definitions show Scala syntax (for example, def reduce(func: Function2[T, T]): T
instead of
T reduce(Function2<T, T> func)
).
We hope to generate documentation with Java-style syntax in the future.
Where to Go from Here
Spark includes several sample programs using the Java API in
examples/src/main/java
. You can run them by passing the class name to the
run
script included in Spark – for example, ./run
spark.examples.JavaWordCount
. Each example program prints usage help when run
without any arguments.


Bookmarklet that unhides file names in GitHub
A handy bookmarklet that shows hidden filenames in GitHub
A handy bookmarklet that shows hidden filenames in GitHub
How to create a carousel without using Javascript
Easy way to create a fixed float with a vertical limit
I've created a stylesheet that responsifies the website of a local newspaper.


The eclectic collection includes the following written pieces: "The War Prayer" by Mark Twain, "War Is A Racket" by Major General Smedley Butler, "The Mask of Anarchy: Written on the Occasion of the Massacre at Manchester" by Percy Bysshe Shelley, "Connect the D.O.T.S." by Obiora Embry, "Untitled: Climate Strange" by Irucka Ajani Embry, and "Untitled: Us versus Them or People Screwing over Other People (as we all live on one Earth and there is no "us versus them" in the actual Ultimate Reality}" by Irucka Ajani Embry.
| Version: | 0.9.99 |
| Depends: | R (≥ 3.1.0) |
| Suggests: | install.load, tm, NLP, knitr, rmarkdown |
| Published: | 2016-09-22 |
| Author: | Irucka Embry [aut, cre] |
| Maintainer: | Irucka Embry <iembry at ecoccs.com> |
| BugReports: | https://gitlab.com/iembry/iemisctext/issue |
| License: | GPL (≥ 3) |
| Copyright: | See COPYRIGHT file |
| URL: | https://gitlab.com/iembry/iemisctext |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | iemisctext results |
| Reference manual: | iemisctext.pdf |
| Vignettes: |
Examples using the tm package Viewing Each Written Piece as a PDF |
| Package source: | iemisctext_0.9.99.tar.gz |
| Windows binaries: | r-devel: iemisctext_0.9.99.zip, r-release: iemisctext_0.9.99.zip, r-oldrel: iemisctext_0.9.99.zip |
| OS X binaries: | r-release: iemisctext_0.9.99.tgz, r-oldrel: iemisctext_0.9.99.tgz |
| Old sources: | iemisctext archive |
Please use the canonical form https://CRAN.R-project.org/package=iemisctext to link to this page.


The cm-x86-14.1-r5 is an update of cm-x86-14.1-r4. It's based on the Android-x86 7.1-r5 and the latest LineageOS 14.1.
The release contains these files. Except the images built with kernel 4.9 as before (the first four files), we also provide experimental images built with kernel 4.19 (the last two files). If you have newer devices not supported by kernel 4.9, you may try the kernel 4.19 version. Most modern devices should be able to run the 64-bit ISO. For older devices with legacy BIOS, try the 32-bit ISO.
sha1sum: 4c00748c451923bb27c52375e59bc0bfeed8f32f
sha1sum: 4c96ce5b0259c1351805df3de4105d4f778ae668
sha1sum: edac951267ccffaaef52042de213cc3ec6998175
sha1sum: cd5b8661e02ee0af5c84b4bcb5ba97516ca8a805
sha1sum: 973050d4dc2d4addc14a7aa310926cbf98f76dae
Recommended for newer devices
sha1sum: 7acdc986be6473fd4d9580a1ac2686cff68f81d8
Recommended for newer devices
You can choose one of these files depends on your devices. In doubt, try the 32-bit ISO for legacy BIOS devices and 64-bit files for UEFI devices.
To use an ISO file, Linux users could just dump it into a usb drive to create a bootable usb stick like :
dd if=cm-x86_64-14.1-r5.iso of=/dev/sdX
where /dev/sdX is the device name of your usb drive.
Windows's users can use the tool Win32 Disk Imager to create a bootable usb stick.
In doubt, try the 32-bit files for legacy BIOS devices and 64-bit files for UEFI devices. Please read this page about how to install it to the device.
Except the traditional ISO files, we also package android-x86 files into a Linux package rpm. It allows Linux users to easily install the release into an existing Linux device with a standalone ext4 root partition. On an rpm based device (Fedora/Red Hat/CentOS/SUSE...), just install it like a normal rpm package:
sudo rpm -Uvh cm-x86-14.1-r5.x86_64.rpm
On a deb based device (Debian/Ubuntu/LinuxMint/...), please use the alien tool to install it:
sudo apt install alien
sudo alien -ci cm-x86-14.1-r5.x86_64.rpm
All files will be installed to the /cm-x86-14.1-r5/ subdirectory and a boot entry will be added to grub2 menu. Reboot and choose cm-x86 item from the menu to enter the system. Alternatively, you can launch cm-x86 in a QEMU virtual machine by the installed qemu-android script:
sudo qemu-android
Note Android-x86 running in QEMU and the real machine (after rebooting) share the same data sub-folder.
To uninstall it:
sudo rpm -e cm-x86
sudo apt-get remove android-x86
repo init -u git://git.osdn.net/gitroot/android-x86/manifest -b android-x86-7.1-r5 -m cm.xml
repo sync --no-tags --no-clone-bundle
Read this page for how to compile source code.
To build an image with kernel 4.19, sync the source tree as above commands, and add KERNEL_DIR=kernel-4.19 to the build command like:
source build/envsetup.sh; lunch cm_android_x86_64-userdebug
m -j4 iso_img KERNEL_DIR=kernel-4.19


Remote Repositories¶
While managing data locally on your laptop is all well and good, part of the power of source code management is the ability to share that data with others. Much like git, Titan has the notion of remote repositories that act as an endpoint for push and pull.
There are a few important general things to be aware of:
Titan commits do not have a strict dependency on the previous commit from which it was created. Because they are much larger, we allow them to be pushed and pulled independently. For this reason, titan clone and titan pull will not pull down all commits, only the one specified by the user.
Titan does not support the notion of merging. While concepts like tagging and branching will be added over time, generically merging data at the on-disk level is not possible.
Different remote providers have different performance characteristics, including whether they support incremental transfers. Some will always to a full data transfer, while others have a means to identify only changed blocks. Titan is designed to work with small datasets (<10GB), using it for anything remotely large may have adverse effects on the system.
Warning
Titan currently ships with two very basic providers, the S3 Provider and the SSH Provider. These are only introductory providers, designed to have zero dependencies on external software. But as such, they will face challenges across security, performance, and robustness when operated at scale in an enterprise setting. As Titan matures, we will be working with the community and partners to help develop remote providers with more robust capabilities.


About
The purpose of molior is to build Debian packages out of git repositories based on a mirror of a specific Debian version and therefore creating reproducible builds. Build environments are structured into projects and versions, which may include mirrors and versions of other projects.
Molior performs the following tasks:
- create mirrors of Debian repositories
- create projects based on a Debian mirror, include dependencies to other projects or mirrors
- build packages into project repositories (i386, amd64, armhf, arm64)
- create deployments of projects (ISO Installer, VirtualBox, images, ...)
-
User Docs
-
Backend Docs
-
Release Notes
SSH Public Key
{{status.sshkey}}


Scaling Oblivious Read Write
Transcript By: Bryan Bishop
Tags: Privacy
Category: Conference
A tale of two trees: One writes, and other reads, scaling oblivious accesses to large-scale blockchains
Duc V. Le
Introduction
We are trying to get optimized oblivious accesses to large-scale blockchains. This is collaborative work with our colleagues.
Motivation
As we all know, bitfcoin data has become too large to store in resource-constrained devices. It’s like 240 GB. The current solution today is bip37 + Nakamoto’s idea for simplified payment verification (SPV) clients which don’t run the bitcoin network rules. Resource-constrained clients (thin clients) have to rely on other potentially malicious full clients to obtain transaction information. This leads to some privacy implications. You might connect to some malicious node.
SPV
Simplified payment verification relies on bloom filters which are probabilistic data structures that allow users to test membership of an item inserted into the bloom filter. The client makes a bloom filter and sends the filter to the full node. Then the thin client is able to request a block from the full node, for all the blocks that match the filter. It sends back the blocks to the client with the transactions.
Unfortunately, there’s an attack on this approach. The adversary will be able to correctly guess the addresses belonging to the SPV client.
Solutions
We need a full node that offers private access to the thin client. The adversary shouldn’t be able to learn what the SPV client has just requested. In the crypto community, this is known as uisng a private information retrieval technique. To our understanding, most cryptographic PIR approaches are not scalable. One could use ORAM + trusted hardware to provide a generic PIR solution.
There could be trusted hardware residing on the full node that the mobile client talks with. The trusted hardware will secure the communication channel between the mobile client and the server. It uses oblivious RAM to hide data. The encrypted databank in this case is the blockchain data. I will go into detail about how ORAM works.
Oblivious RAM
Oblivious RAM is a cryptographic primitive introduced in 1987. The idea is that you use a cryptographic primitive that hides access pattern on encrypted data of a program.
Tree-based ORAM schemes
This is an example of path-ORAM. There’s a client and a server. The server stores the data in an encrypted format. On the client side, there is… the.. the position map tells the client which block resides on which path.. for example, if he’s interested in block id 4, by looking at the position map, he knows it resides on path 3 of the tree. In this example, if he wants to retrieve this block, then he will request the server to send over this path to the client. The idea is to hide the data. There must be randomization of the location of the blocks in the data tree. The client will push back the path inot the server. Because they only overlap between path 3 and path 1 is the root node, then the block of… then hopefully it’s clear how ORAM works.
All the logics and data structures implemented in the client side are known as ORAM controllers. A tree-based ORAM access can be generalized as a combination of 2 operations, readpath and eviction. The idea of this project is to use ORAM to hide the access patern of the thin client on the blockchain data.
Trusted execution environment
In this project, we used Intel SGX as a solution for our trusted execution environment. There are two properties here that we are interested in, namely remote attestation, and code isolation where we can set aside trusted memory region known as the enclave making sure no other processes can access this memory region. The idea is to implement ORAM controllers inside an enclave. Use oRAM controller to store and encrypt blockchain data in ORAM structure. The INtel SGX performs ORAM access on behalf of the remote client.
Challenge: ORAM storage overhead
The first challenge is the ORAM storage overhead. Using ORAM incurs a constant storage blowup, 8x for path-ORAM and 4x for circuit ORAM. Storing bitcoin blockchain into ORAm tree results in 2 TB of blockchain data in a tree structure.
Solution for storage blow-up
Securing oblivious access to the unspent transaction output set (UTXO set) is sufficient instead of blocks. So the intuition here is that the SGX should oblivious and securely update UTXOs set, and provide thin clients with oblivious access ot tihs database.
The size of the UTXO database is around 2.8 GB. Therefore, the size of the ORAM tree is about 24 GB and for path-ORAM and for circuit ORAM it would be about 12 GB which is accessible.
Challenge: traditional ORAM’s lack of concurrency
ORAM access is readpath and eviction operations. Eviction causes some writing on the ORAM tree. If the client sends a request during the eviction process, then the writing will block the client. It will have to wait for the ORAM access to finish. This is bad that in the bitcoin network it generates a new block every 10 minute and the new block can incur 1000 ORAM updates and this can lead to 1-2 minutes of downtime. So basically the ORAM access, writing on the ORAM tree, and if the client tries to access during this update period, then it will not be able to get that from the ORAM tree.
Solution for concurrency
We introduce two ORAM trees. There’s one that is a read-once tree and the original tree to allow non-blocking eviction. The read path performs read on the read tree, and evict performs on the original tree. Then these synchronize once every block interval. The readpath, there’s no writing on the tree. We can perform readpath in parallel.
The security of this is that, in the traditional ORAM setting because there’s no eviction on the readpath tree, if the client accesses the same path multiple times then … but in the blockchain setting, an SPV client … the SPV client should only request once during an interval of 10 minutes. The system synchronizes 2 trees every 10 minutes. The effects that you improve latency from the perspective of the thin clients. We can now perform parallel readpath on the read tree.
Challenge: Trusted memory region is limited
The size of the trusted memory region (PRM) is limited to 96 MB. Allocating more memory is possible, but performance will suffer. Naive use of ORAM will quickly cause the PRM to run out of memory.
Solution for limited trusted memory region
We can use a recursive ORAM construction. The idea is to store the position map into another ORAM structure in the untrusted memory region. You can store the position map as a smaller ORAM tree, encrypt it, and it will— and now you just need to store a smaller position map for the smaller position tree.
Challenge: Bitcoin address and ORAM ID mapping
How does the SGX know how to translate a bitcoin address into an ORAM block? Naive approach 1 is to use address and do ORAM bid, and position map will be huge. So the other approach is deterministic hashing address into ORAM block, which would mean an adversary can overflow a block.
Solution for address-ORAM block ID mapping
In the paper, we offer a different way of mapping an address into an ORAM block. It’s a different tradeoff between the storage of the ORAM trade and ORAM access. Using PRF OBlockMap to map bitcoin address into ORAM blocks… read the paper for more detail.
Problems
Even with the mapping, there will still be some problems. This will introduce collisions: this is a standard max load analysis. One can show the ORAM block will have less than a certain number of UTXOs with overwhelming probability. Also, some addresses have more outputs than others, even though address reuse was strongly discouraged from the beginning.
Output/address distribution
The system decider can pick how many outputs an address can have. We can cover up to 92% of all addresses. Only 8% of the addresses have more than 2 UTXOs.
Several side-channel attacks against Intel SGX
The system we built is based on top of Oblivate and Zerotrace. Our system inherited standard secure operations from both libraries. Their implementations uses an oblivious access wrapper by using the x86 instruction cmov. From the perspective of a nattacker, this is the same as reading or modifying every byte in memory. Note that this attacker can only observe access patterns.
Putting things together
We have an overview of the system here in this diagram. The SPV client can do remote attestation with the management enclave. There’s a read enclave and an eviction enclave. The only thing that causes an update on the ORAM tree, is the bitcoin network.
Conclusion
We have developed a system design that supports a large-scale oblivious search on UTXOs while efficiently maintaining the state of the bitcoin UTXO set.


Our pianos use the best durable materials which is sourced locally. This will increase the longevity of your purchase.
We make sure you recieve your piano as soon as we have finished making it. We also provide free returns if you are not satisfied.
For every purchase you make, we will ensure there are no damages or faults and we will check and test the instrument.


This page contains Mentor Graphics Corp. confidentional information and has been intentionally left blank.


In software engineering, structural design patterns are design patterns that ease the design by identifying a simple way to realize relationships between entities.
Source: wikipedia.org
The adapter pattern is used to provide a link between two otherwise incompatible types by wrapping the "adaptee" with a class that supports the interface required by the client.
Example:


- ebeAdd(double[], double[]) - Static method in class afest.math.MyMath
-
Return w[i] = u[i] + v[i].
- ebeMultiply(Complex[], Complex[]) - Static method in class afest.math.MyMath
-
Return w[i] = u[i] * v[i].
- ebeMultiply(double[], double[]) - Static method in class afest.math.MyMath
-
Return w[i] = u[i] * v[i].
- ebeSubtract(double[], double[]) - Static method in class afest.math.MyMath
-
Return w[i] = u[i] - v[i].
- EnvironmentException - Exception in cpsr.environment.exceptions
-
Class handles exceptions generated by environments.
- EnvironmentException(String) - Constructor for exception cpsr.environment.exceptions.EnvironmentException
-
Constructs exception with specified message.
- EpsilonGreedyPlanner - Class in cpsr.planning
-
An epsilon greedy planner that uses a predefied policy with prob (1-epsilon).
- EpsilonGreedyPlanner(RandomPlanner, APSRPlanner, double, int) - Constructor for class cpsr.planning.EpsilonGreedyPlanner
-
Constructs an epsilon greedy planner.
- equals(Object) - Method in class cpsr.environment.components.Action
-
- equals(Object) - Method in class cpsr.environment.components.ActionObservation
-
- equals(Object) - Method in class cpsr.environment.components.IndicativeEvent
-
- equals(Object) - Method in class cpsr.environment.components.Observation
-
Tests for equality
- erf(double) - Static method in class afest.math.MyStats
-
Return the value of the error function calculated using the Apache Commons Math.
- erfinv(double, double, int) - Static method in class afest.math.MyStats
-
Return the inverse error function.
- erfinv(double, double) - Static method in class afest.math.MyStats
-
Return the inverse error function.
- erfinv(double, int) - Static method in class afest.math.MyStats
-
Return the inverse error function.
- erfinv(double) - Static method in class afest.math.MyStats
-
Return the inverse error function.
- ERTException - Exception in afest.datastructures.tree.decision.erts.exceptions
-
Exception class to handle illegal operations in the Decision tree package.
- ERTException(String) - Constructor for exception afest.datastructures.tree.decision.erts.exceptions.ERTException
-
Generates a standard error message.
- ERTMemoryLessPoint - Class in afest.datastructures.tree.decision.erts
-
Creates a memory less point.
- ERTMemoryLessPoint(int, HashMap<String, ArrayList<Double>>) - Constructor for class afest.datastructures.tree.decision.erts.ERTMemoryLessPoint
-
Creates a new "memory less" point only storing the index of the point and a HashMap of all the features over the whole the signal.
- ERTMemoryLessTrainingPoint<O extends java.io.Serializable> - Class in afest.datastructures.tree.decision.erts
-
Creates a memory less training point that stores a reference to the labels of the signal and return the value of the right label upon query.
- ERTMemoryLessTrainingPoint(int, HashMap<String, ArrayList<Double>>, ArrayList<O>) - Constructor for class afest.datastructures.tree.decision.erts.ERTMemoryLessTrainingPoint
-
Creates a memory less training point.
- ERTPoint - Class in afest.datastructures.tree.decision.erts
-
Class representing an ERTPoint using strings as feature names.
- ERTPoint(HashMap<String, Double>) - Constructor for class afest.datastructures.tree.decision.erts.ERTPoint
-
Create a ERTPoint with the corresponding values and feature names.
- ERTSplit<R extends java.io.Serializable> - Class in afest.datastructures.tree.decision.erts
-
Split class used by the Extremely Randomized Trees.
- ERTSplit(R, double) - Constructor for class afest.datastructures.tree.decision.erts.ERTSplit
-
Create a split that will return true if the attribute of the element is above the threshold.
- ERTTrainingPoint<O extends java.io.Serializable> - Class in afest.datastructures.tree.decision.erts
-
Class representing an ERTPoint using strings as feature names.
- ERTTrainingPoint(HashMap<String, Double>, O) - Constructor for class afest.datastructures.tree.decision.erts.ERTTrainingPoint
-
Create a ERTPoint with the corresponding values and feature names.
- evaluate(ArrayList<C>) - Method in class afest.datastructures.tree.decision.erts.evaluator.ForestFractionEvaluator
-
- evaluate(ArrayList<C>) - Method in class afest.datastructures.tree.decision.erts.evaluator.ForestMajorityEvaluator
-
- evaluate(ArrayList<C>) - Method in class afest.datastructures.tree.decision.erts.evaluator.ForestRegressionEvaluator
-
- evaluate(ArrayList<C>) - Method in interface afest.datastructures.tree.decision.erts.evaluator.interfaces.IForestEvaluator
-
Return the output once the element is evaluated over all leafs content.


{% extends "main/base.html" %} {% block title %}Code Jams | Already applied{% endblock %} {% block og_title %}Code Jams | Already applied{% endblock %} {% block content %}
Your code jam profile has been deleted. As you were participating in an ongoing code jam, you have been issued with an automatic ban from future code jams. If you'd like to join a code jam in the future, please contact us directly and we'll try to resolve the situation with you. Thanks for your interest in our code jams regardless!
{% else %}Your code jam profile has been deleted. you were not participating in an ongoing code jam, no further action is required by you. Thanks for your interest in our code jams regardless!
{% endif %} Back to code jams


SSL_CTX_set_dh_auto, SSL_set_dh_auto, SSL_CTX_set0_tmp_dh_pkey, SSL_set0_tmp_dh_pkey, SSL_CTX_set_tmp_dh_callback, SSL_CTX_set_tmp_dh, SSL_set_tmp_dh_callback, SSL_set_tmp_dh - handle DH keys for ephemeral key exchange
#include <openssl/ssl.h>
long SSL_CTX_set_dh_auto(SSL_CTX *ctx, int onoff);
long SSL_set_dh_auto(SSL *s, int onoff);
int SSL_CTX_set0_tmp_dh_pkey(SSL_CTX *ctx, EVP_PKEY *dhpkey);
int SSL_set0_tmp_dh_pkey(SSL *s, EVP_PKEY *dhpkey);
The following functions have been deprecated since OpenSSL 3.0, and can be hidden entirely by defining OPENSSL_API_COMPAT with a suitable version value, see openssl_user_macros(7):
void SSL_CTX_set_tmp_dh_callback(SSL_CTX *ctx,
DH *(*tmp_dh_callback)(SSL *ssl, int is_export,
int keylength));
long SSL_CTX_set_tmp_dh(SSL_CTX *ctx, DH *dh);
void SSL_set_tmp_dh_callback(SSL *ctx,
DH *(*tmp_dh_callback)(SSL *ssl, int is_export,
int keylength));
long SSL_set_tmp_dh(SSL *ssl, DH *dh);
The functions described on this page are relevant for servers only.
Some ciphersuites may use ephemeral Diffie-Hellman (DH) key exchange. In these cases, the session data is negotiated using the ephemeral/temporary DH key and the key supplied and certified by the certificate chain is only used for signing. Anonymous ciphers (without a permanent server key) also use ephemeral DH keys.
Using ephemeral DH key exchange yields forward secrecy as the connection can only be decrypted when the DH key is known. By generating a temporary DH key inside the server application that is lost when the application is left, it becomes impossible for an attacker to decrypt past sessions, even if they get hold of the normal (certified) key, as this key was only used for signing.
In order to perform a DH key exchange the server must use a DH group (DH parameters) and generate a DH key. The server will always generate a new DH key during the negotiation.
As generating DH parameters is extremely time consuming, an application should not generate the parameters on the fly. DH parameters can be reused, as the actual key is newly generated during the negotiation.
Typically applications should use well know DH parameters that have built-in support in OpenSSL. The macros SSL_CTX_set_dh_auto() and SSL_set_dh_auto() configure OpenSSL to use the default built-in DH parameters for the SSL_CTX and SSL objects respectively. Passing a value of 1 in the onoff parameter switches the feature on, and passing a value of 0 switches it off. The default setting is off.
If "auto" DH parameters are switched on then the parameters will be selected to be consistent with the size of the key associated with the server's certificate. If there is no certificate (e.g. for PSK ciphersuites), then it it will be consistent with the size of the negotiated symmetric cipher key.
Applications may supply their own DH parameters instead of using the built-in values. This approach is discouraged and applications should in preference use the built-in parameter support described above. Applications wishing to supply their own DH parameters should call SSL_CTX_set0_tmp_dh_pkey() or SSL_set0_tmp_dh_pkey() to supply the parameters for the SSL_CTX or SSL respectively. The parameters should be supplied in the dhpkey argument as an EVP_PKEY containing DH parameters. Ownership of the dhpkey value is passed to the SSL_CTX or SSL object as a result of this call, and so the caller should not free it if the function call is successful.
The deprecated macros SSL_CTX_set_tmp_dh() and SSL_set_tmp_dh() do the same thing as SSL_CTX_set0_tmp_dh_pkey() and SSL_set0_tmp_dh_pkey() except that the DH parameters are supplied in a DH object instead in the dh argument, and ownership of the DH object is retained by the application. Applications should use "auto" parameters instead, or call SSL_CTX_set0_tmp_dh_pkey() or SSL_set0_tmp_dh_pkey() as appropriate.
An application may instead specify the DH parameters via a callback function using the functions SSL_CTX_set_tmp_dh_callback() or SSL_set_tmp_dh_callback() to set the callback for the SSL_CTX or SSL object respectively. These functions are deprecated. Applications should instead use "auto" parameters, or specify the parameters via SSL_CTX_set0_tmp_dh_pkey() or SSL_set0_tmp_dh_pkey() as appropriate.
The callback will be invoked during a connection when DH parameters are required. The SSL object for the current connection is supplied as an argument. Previous versions of OpenSSL used the is_export and keylength arguments to control parameter generation for export and non-export cipher suites. Modern OpenSSL does not support export ciphersuites and so these arguments are unused and can be ignored by the callback. The callback should return the parameters to be used in a DH object. Ownership of the DH object is retained by the application and should later be freed.
All of these functions/macros return 1 for success or 0 on error.
ssl(7), SSL_CTX_set_cipher_list(3), SSL_CTX_set_options(3), openssl-ciphers(1), openssl-dhparam(1)
Copyright 2001-2022 The OpenSSL Project Authors. All Rights Reserved.
Licensed under the Apache License 2.0 (the "License"). You may not use this file except in compliance with the License. You can obtain a copy in the file LICENSE in the source distribution or at https://www.openssl.org/source/license.html.


https://github.com/jhaddix/domain
Info
Recon-ng and Alt-DNS are awesome. This script combines the power of these tools with the ability to run multiple domains within the same session.
TLDR; I just want to do my subdomain discovery via ONE command and be done with it.
Only 1 module needs an api key (/api/google_site) find instructions for that on the recon-ng wiki.
Script to enumerate subdomains, leveraging recon-ng. Uses google scraping, bing scraping, baidu scraping, yahoo scraping, netcraft, and bruteforces to find subdomains. Plus resolves to IP.
Pre-Requisites
Installation recon-ng from Source
Clone the Recon-ng repository
git clone<EMAIL_ADDRESS>Change into the Recon-ng directory.
cd recon-ng
Install dependencies.
pip install -r REQUIREMENTS
Eventually link the installation directory to /usr/share/recon-ng
ln -s /$recon-ng_path /usr/share/recon-ng
Optionally (highly recommended) download:
Alt-DNS (https://github.com/infosec-au/altdns)
and a good subdomain bruteforce list (https://github.com/danielmiessler/SecLists/blob/master/Discovery/DNS/sorted_knock_dnsrecon_fierce_recon-ng.txt)
Create config.py file and specify the path to recon-ng and allDNS as it showed in config_sample.py
Basic Usage
./enumall.py domain.com
also supports:
-w to run a custom wordlist with recon-ng
-a to use alt-dns
-p to feed a custom permutations list to alt-dns (requires -a flag)
-i to feed a list of domains (can also type extra domains into the original command)
Advanced Usage
./enumall.py domain1.com domain2.com domain3.com -i domainlist.txt -a -p permutationslist.txt -w wordlist.com
Output from recon-ng will be in .lst and .csv files, output from alt-dns will be in a .txt file
by @jhaddix and @leifdreizler


{include file='web/display/head.html'}
product detail
{include file='web/display/head/head.html'} {include file='web/display/common/location.html'}
{include file='web/display/product_detail/view.html'}
{include file='web/display/product_detail/detail.html'}
{literal} {/literal}
Description
{include file='web/display/product_detail/description.html'}
{include file='web/display/product_detail/bottom.html'} {include file='web/display/foot/foot.html'}


--- layout: post status: publish published: true title: Subsidy for roof top solar in Gujarat author: display_name: vishvendra login: vishvendra email<EMAIL_ADDRESS>url: '' author_login: vishvendra author_email<EMAIL_ADDRESS>wordpress_id: 497 wordpress_url: https://vishvendrasingh.com/?p=497 date: '2017-03-09 06:45:56 +0530' date_gmt: '2017-03-09 06:45:56 +0530' categories: - Common tags: [] comments: [] ---
Government if providing subsidy for roof top solar installation. Related information is given in the below pdf.
http://geda.gujarat.gov.in/policy_files/gr_Subsidy_for_Res_Rooftop_Solar_plants.pdf
A very good initiative by Gujarat Govt., Gujarat state currently buying most of electricity from other states.
Read more about this here
title : Subsidy for roof top solar in Gujarat


Intelligence 96% Complete
Attractiveness 95% Complete
Strength 98% Complete
Overall Awesomeness 100% Complete


Simple initialization
Initialization with options
Initialization with custom rendering
Initialization with custom value processing


Read More TV
About Us
READ MORE TV
Find books to read based on your favorite TV shows.
Find Books
© 2020


Table of Contents
The JDBC specification (like the ODBC specification) acknowledges the fact that some vendor specific SQL may be required for certain RDBMS features. To aid developers in writing portable JDBC applications across multiple database products, a special escape syntax is used to specify the generic commands the developer wants to be run. The JDBC driver translates these escape sequences into native syntax for its specific database. For more information consult the Java DB Technical Documentation.
The parsing of the sql statements for these escapes can be disabled using
Statement.setEscapeProcessing(false)
.
Connection.nativeSQL(String sql)
provides another way to have escapes processed.
It translates the given SQL to a SQL suitable for the PostgreSQL™ backend.
Example 8.1. Using JDBC escapes
To use the JDBC escapes, you simply write your SQL replacing date/time literal values, outer join and functions by the JDBC escape syntax. For example :
ResultSet rs = st.executeQuery("SELECT {fn week({d '2005-01-24'})}");
is the portable version for
ResultSet rs = st.executeQuery("SELECT extract(week from DATE '2005-01-24')");
You can specify which escape character to use in strings comparison (with LIKE
)
to protect wildcards characters ('%' and '_') by adding the following escape :
{escape 'escape-character'}
. The driver supports this only at the end of the
comparison expression.
For example, you can compare string values using '|' as escape character to protect '_' :
rs = stmt.executeQuery("select str2 from comparisontest where str1 like '|_abcd' {escape '|'} ");


%= htmlWebpackPlugin.options.MONITOR %>
We're sorry but <%= htmlWebpackPlugin.options.title %> doesn't work properly without JavaScript enabled. Please enable it to continue.
<%= htmlWebpackPlugin.options.CONTENT %>


03 July 1997
Disease Outbreak Reported
Report from the Ministry of Health, Malaysia, dated 28 June 1997 regarding the cluster of deaths among infants and young children during an outbreak of hand, foot and mouth disease in Sarawak, Malaysia.
On 14 April 1997, a 19-month old boy was admitted to the Sibu Hospital Sibu, Sarawak, Malaysia, with a 3-day history of fever and oral ulcers. On examination, he showed poor peripheral perfusion and tachycardia, subsequently developed cardiac failure, and died on 15 April 1997. Since then, 26 more children in several cities in Sarawak have died of heart failure, and 2 others who were brought in dead are suspected to have died of similar cause. Eighteen (62%) of the 29 children were male. Their mean age was 1.6 years (range 7 months to 6 years); 23 (79.3%) of 29 were less than 2 years old.
The 27 children who were admitted alive presented with or soon thereafter developed signs of shock, including pallor, cold extremities, delayed capillary refill, and weak peripheral pulses. Pulmonary oedema was present in many cases; intravenous fluids often exacerbated the oedema. Nearly all the children had sinus tachycardia on electrocardiogram; no rhythm disturbances were noted. Echocardiograms obtained on most patients uniformly showed a poorly contractile globular left ventricle with low output (ejection fraction <60%). In most instances, children died within 7 days of onset of illness, and death usually ensued within 24 hours of admission. Postmortem examinations have been performed on 3 children; results are pending. The most recent fatal case to date had onset on 21 June 1997 and died on 24 June 1997.
Many of these children had a maculopapular or vesicular rash on the palms or soles and vesicles or ulcers in the oral cavity, characteristic of hand, foot, and mouth disease. Several children had signs of central nervous system infection [3 (15%) of 20 had acute flaccid paralysis, and 9 (45%) of 20 had histories of seizures]. Examination of the cerebrospinal fluid showed a lymphocytosis, consistent with viral meningitis. In several cases, family members reported that the children who died had been in contact with other children with hand, foot, and mouth disease two to five days prior to onset of their own illness.
Since April 1997, private practitioners in Sarawak have reported seeing a large number of children with hand, foot and mouth disease, who presented with fever, mouth ulcers and maculopapular or vesicular rash on the palms and soles. Since 6 June 1997, private physicians and government clinics have reported 2 113 cases of hand, foot, and mouth disease in young children in Sarawak (population 1.9 million).
During June 1997, almost 2140 children with hand, foot and mouth disease have been admitted to private or government hospitals in peninsular Malaysia (population 21 million). No fatalities have yet ben reported among those children hospitalized.
Update 30 June: The Sarawak Health Department informed of an additional fatal case in a 2-year-old boy from Sarikei Division who died from viral myocarditis in Sarawak General Hospital on 30 June. Update posted on the web site of Sarawak Health Department at http://www.jaring.my/jkns/outbreak/virus1.htm
Epidemiological and laboratory investigations are underway. Several enteroviruses have been isolated from clinical specimens obtained both from children who died and those with uncomplicated hand, foot and mouth disease. Two isolates have been identified as enterovirus 71; further identification of the remaining isolates is in progress.


Shopping cart under the works but you can place your order below.
Contact +254741906738 to place your order.We always deliver to your doorstep


Anonymous345
| Posted on
Sunday, Jul 27, 2018
This will be the title part
This is our first post This is our first post
This is our first post
This is our first post
This is our first post
This is our first post
This is our first post This is our first post
This is our first post
This is our first post
Anonymous345
| Posted on
Sunday, Jul 27, 2018
This will be the title part
This is our first post This is our first post
This is our first post
This is our first post
This is our first post
This is our first post
This is our first post This is our first post
This is our first post
This is our first post


| Name | Device Type | Mobile No. | Project | Site | Working Start | Working End | Vehicle Status | Vehicle Condition | Billing | Vehicle Status |
|---|---|---|---|---|---|---|---|---|---|---|
| {{vehicle.vehicleNo}} | {{vehicle.vehicleDeviceType}} | {{vehicle.mobileNumber}} | {{vehicle?.project ? vehicle.project.project : '-'}} | {{vehicle?.site ? vehicle.site.siteName : '-'}} | {{this.userService.convertMimuetToTime(vehicle?.effectiveFrom ? (vehicle?.effectiveFrom * 60000) : 0 )}} | {{this.userService.convertMimuetToTime(vehicle?.effectiveTo ? (vehicle?.effectiveTo * 60000) : 0 )}} | {{vehicle.vehicleStatus}} | {{vehicle.vehicleCondition}} |


recap.rb |
|
|---|---|
|
This is the documentation for recap, a simple, opinionated set of capistrano deployment recipes. Inspired in part by this blog post, these recipes use git’s strengths to deploy applications in a faster, simpler manner than the standard capistrano deployment. Aims and featuresReleases are managed using git. All code is deployed to a single directory, and git tags are
used to manage different released versions. No Deployments do the minimum work possible, using git to determine whether tasks need to run. e.g.
the Applications have their own user and group, owning all of that application’s associated
files and processes. This gives them a dedicated environment, allowing environment variables to
be used for application specific configuration. Tasks such as Personal accounts are used to deploy to the server, distinct from the application user. The right
to deploy an application is granted simply by adding a user to the application group. Most tasks
are run as the application user using %application ALL=NOPASSWD: /sbin/start application* %application ALL=NOPASSWD: /sbin/stop application* %application ALL=NOPASSWD: /sbin/restart application* %application ALL=NOPASSWD: /bin/su – application* %application ALL=NOPASSWD: /bin/su application* Limitations and ConstraintsRecap has been developed and tested using Ubuntu 11.04. It may work well with other flavours of unix, but proceed with caution. Recap also uses a different file layout than other capistrano-based deployments, so other recipes may not work well with it. You can improve compatibility with other recipes using recap/support/compatibility.rb. Getting startedTo use recap you’ll need a project stored in Preparing your projectTo get a project ready to deploy with recap, you’ll need to install the gem, most likely by adding
an entry like the following to the gem ‘recap’, ‘~>1.0.0’ Once the gem is installed, generate a require ‘recap/recipes/rails’ set :application, ‘example-app’ set :repository, ‘git@example.com:example/example-app.git’ server ‘server.example.com’, :app Edit the Preparing the serverThe next step is setting up the server. Running This application account is dedicated to your app, so you can edit its Preparing the appRunning DeployingFinally running Further informationRecap has recipes to deploy static, ruby-based and rails apps which you can find out about in recap/recipes. For more information about all the capistrano tasks recap provides, see recap/tasks. Versioning and Licenserecap uses semantic versioning. The code is available on github and released under the MIT License |
module Recap
module Support
autoload :Compatibility, 'recap/support/compatibility'
autoload :Namespace, 'recap/support/namespace'
autoload :Environment, 'recap/support/environment'
autoload :ShellCommand, 'recap/support/shell_command'
autoload :CLI, 'recap/support/cli'
end
autoload :Version, 'recap/version'
end |


Ticket ID: 0112358
Name:
Peter Parker
No Active Support
Email:
<EMAIL_ADDRESS>Response Time:
72 hours, 1 NewYork minute left
Last Action:
Never been very funny
Link to pubic post
Status:
Great power, no response(ability)


accommodation alert alumni announcement basket beta bike biotech bus calendar camera car careers classification clock contact crosslink database discuss documentation drug elixir email embl externallink externalsystems facetoface findus funding graph group gtls health help home industry info link location lovedata mailinglist math meetus mobiledevice new newcomers news nutraceuticals openday piechart plane publication research resource revieweddata services steps support systems terms test textmining toolkit train training tutorial unrevieweddata video walk