LIFE IS BEAUTIFUL (LA VITA 'E BELLA) (Miramax) Starring: Roberto Benigni, Nicoletta Braschi, Giorgio Cantarini, Sergio Bustric, Horst Buchholz. Screenplay: Robert Benigni and Vincenzo Cerami. Producers: Elda Ferri and Gianluigi Braschi. Director: Roberto Benigni MPAA Rating: PG-13 (adult themes) Running Time: 114 minutes. Reviewed by Scott Renshaw.
LIFE IS BEAUTIFUL, a fancifully dark Italian comedy from co-writer/director/star Roberto Benigni, has inspired one of the most misguided criticisms of recent years. A large portion of the film, set in Italy circa 1939-1945, involves an Italian family in a concentration camp: Jewish bookseller Guido Orefice (Benigni); his Gentile wife Dora (Nicoletta Braschi); and their five-year-old son Giosue (Giorgio Cantarini). In an effort to protect his son from the terrifying reality of their situation, Guido convinces Giosue that they are playing a grand game, collecting points for being quiet or remaining hidden. When German soldiers arrive at the bunkhouse to announce the camp rules, Guido feigns being able to translate into Italian so he can announce the rules of the "game" to Giosue; when Giosue hears stories of the evils going on at the camp, Guido laughingly dismisses them as the attempts of other "players" to gain a psychological advantage.
The criticism leveled at LIFE IS BEAUTIFUL is that it is a sanitized version of the Holocaust, which somehow diminishes the gravity of the tragedy by squeezing humor from it. The absurdity of that criticism is that it seems to miss the point entirely. Guido's entire purpose in the second half of the film becomes sanitizing the Holocaust, turning the experience into something his son can survive both physically and emotionally. Benigni crafts a sensitive relationship between the father and son, as Guido's wit and imagination allow him to create a world of pleasure and hope where no pleasure or hope should be possible. There are more than enough grim reminders of the camp's true purpose -- as well as a glimpse of banal evil in the character of an obliviously self-absorbed physician (Horst Buchholz) -- to dismiss any notion that Benigni as a film-maker is candy-coating one of the bleakest chapters in human history. His character, however, is doing exactly that; his success is a triumph of love and determination in the creation of their own reality.
The irony of that misguided criticism is that there's a much simpler reason to be less than dazzled by LIFE IS BEAUTIFUL -- namely, most of the first hour. In essence, it's an _extremely_ extended prologue, introducing us to Guido as a carefree seeker of love and fortune who directs his creative energies towards winning Dora's heart. The pleasant scenes between them certainly establish their bond, as well as Guido's imaginative gifts, but on their own they're fairly innocuous bits of romantic tomfoolery. Benigni mixes physical comedy with the occasional social commentary, all with moderate success and the sense that he's just passing time until he can get to the real meat of the story. It's easy to imagine Benigni setting up all the necessary relationships in about half the time, making the shift in tone less abrupt...and making shifting in your seat less necessary.
None of that detracts from the potent, bittersweet pleasures of the film's second half. All of the things that could have gone wrong instead go right -- the young Cantarini radiates charming innocence without cloying self-awareness; Benigni hits just the right balance between clown and unlikely hero; the darker moments always feel consistent with the human comedy. LIFE IS BEAUTIFUL grows richer by the minute, making it easy to forgive the amiable but meandering first half. If it hadn't takeng quite so long to reach its most powerful scenes, LIFE IS BEAUTIFUL would have been an easy choice as one of the year's best films. An expression as trite as "triumph of the human spirit" doesn't quite do justice to what Benigni has pulled off here. He has taken pure horror and turned it into a whimsical love story -- between a man and a woman, between a man and his son, between a man and the idea that we never lose the capacity to create beauty in our lives.
On the Renshaw scale of 0 to 10 beautiful dreamers: 8.
Visit Scott Renshaw's MoviePage http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the MoviePage for details, or reply to this message with subject line "Subscribe".
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{% extends "base/base.html" %} {% load staticfiles %} {% block page_title %}Fetch data of all boards{% endblock %} {% block js %} {{block.super}} {% endblock js %} {% block content %}
All boards data will be deleted and fetched again. This process should be slow, so wait a minute or so.
Are you sure?


--- layout: post title: Create your QR code with Google Chart API date: 2011-10-12 21:51:00.000000000 +02:00 type: post published: true status: publish categories: - Coding tags: - google - qr code meta: posterous_6b63f8d297c73139dd329498419cf441_post_id: '75222026' posterous_6b63f8d297c73139dd329498419cf441_permalink: http://exploringtheweb.net/create-your-qr-code-with-google-chart-api _thumbnail_id: '1288' _edit_last: '1' dsq_thread_id: '497556358' author: login: bbWebdesign email<EMAIL_ADDRESS>display_name: Bob first_name: Bob last_name: Belderbos ---
Creating a Quick Response code for your website is quite easy with the Google Chart API. I found a nice and easy code example here.
You can create your own with this simple form (using a POST request)
For bobbelderbos.com it yields:
Now you can get a smartphone app to scan this QR code and it redirects directly to your site:
This is quite cool for a visit card like about.me is doing for their service.
I was traveling last week and at the airport I saw more and more QR codes on advertisements billboards, so it is worth considering getting one on any print media, to leverage the potential of the large amount of smart phones out there.


Problem Statement
Digital revolution is empowering customers with choices and giving users access to information around the world, anytime, anywhere. As a result, customers have
higher expectations towards brands. Businesses have to bring their A-game when it comes to customer experience, thus shifting marketing strategies
to a customer-centric approach.
Business Organization Challenge
Challenge 1 : A system to automate the first customers’ service touchpoint at Blue Cubes
- An interactive and engaging 2-way communication system, that interacts with customers intelligently, providing assistance, guidance, and real-time information
to customers’ enquiries.
- Direct customers to the correct service channels for their current needs.
- Integrated into this system is a pre-set collection of customers’ questions, and over time, the system will learn and predict each customers’ behavior and needs,
and in return advising the right product and have an ability to upsell and cross-sell products.
Challenge 2 : A 1-to-1 training system to constantly elevate the on-job performance of front-liners
- Create engaging, fun and interactive training materials for employees, which can be accessed on-the-go, anytime anywhere, and includes gamification
elements that encourages them to continue striving for excellence in product understanding and customer service.


Please fill out the following details, and then click 'Start study' when you're ready.
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Capture desktop
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The expansion of the rail network in both Europe and America in the middle years of the 19th century created great fortunes and wealth. Combined with the rise of industrialisation, it also dramatically shifted the balance of power within society. New financial dynasties were created. The distribution of wealth shifted from agrarian aristocrats to the new industrialists. Social habits were transformed. Although the term ‘new economy’ has become devalued by overuse in recent years, the arrival of the railway was a genuine example of a new technology that profoundly transformed society at the time. It therefore marks an obvious starting point for any student of technology investment to begin their investigation.


Portal UX + UI
This is a prototype of Finning Digital's Portal for asset management
Screens:
Master Layout
Asset Monitoring Inner
Asset Information Details


Give a URL, get a URL
Send a request with a well-formed URL to receive an alternate URL that will redirect to the original.
https://quiet-savannah-2069.herokuapp.com/new/http://www.google.com
{
originalUrl: "http://www.google.com",
shortUrl: "https://quiet-savannah-2069.herokuapp.com/5696b9d455e54e011ca40491"
}
https://quiet-savannah-2069.herokuapp.com/5696b9d455e54e011ca40491
Redirects to "http://www.google.com"


the largest font size that applies to the element and its descendant elements
in the intermediate synchronic document as determined by 9.3.2 Intermediate Synchronic Document
Construction.
Note:
It is recommended that presentation processors use a computed line height
that is 125% of the size of the largest applicable font size when the value
normal
is specified. The choice of 125% allows use of a font
size of 0.8c
in order to obtain a line height of
1c
.
If specified as a <length>, then the length must be non-negative.
If a computed value of the property associated with this attribute is not supported, then a presentation processor must use the closest supported value.
Note:
In this context, the phrase closest supported value means the value for which the Euclidean distance between the computed line height and the supported line height is minimized. If there are multiple closest supported values equally distant from the computed value, then the value most distant from 0, i.e., the largest line height, is used.
The tts:lineHeight
style is illustrated by the following
example.
<region xml:id="r1">


30+ Vaseline Logo Font Images. We have 4 free vaseline vector logos, logo templates and icons. Pair one of these free logo fonts with an icon, and you are ready to start your business.
You need to select the font you liked and click the « download» button. Vaseline images vaseline products vaseline spray unilever vaseline vaseline clip art medicated vaseline vaseline label vaseline for skin vaseline lip vaseline tin vaseline lip care small. The logo resize without losing any quality.
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AnDO_engine module¶
-
AnDO_engine.
flatten
(seq)¶ Format list the proper way exemple: [[x],[y],[z]]—>[x,y,z]
Parameters: seq – list to format
-
AnDO_engine.
get_regular_expressions
(fileName)¶ https://github.com/bids-standard/bids-validator/tree/master/bids-validator/
using function to read regex in rule files
-
AnDO_engine.
is_AnDO
(names)¶ Check if file path adheres to AnDO. Main method of the validator. uses other class methods for checking different aspects of the directory path.
Parameters: names –
-
AnDO_engine.
is_AnDO_verbose
(names)¶ Check if file path adheres to AnDO. Main method of the validator. uses other class methods for checking different aspects of the directory path.
Parameters: names – list of names founds in the path
-
AnDO_engine.
is_session
(names)¶ Check names follows session rules
Parameters: names – list of names founds in the path
-
AnDO_engine.
is_source
(names)¶ Check names follows source rules
Parameters: names – list of names founds in the path
-
AnDO_engine.
is_subject
(names)¶ Check names follows subject rules
Parameters: names – list of names founds in the path


FROM THE DESK OF MR OUSMANE HAMED MANAGER AUDIT AND ACCOUNTING DEPARTMENT BANK OF AFRICA OUGADOUDOU BURKINAFASO. I am Mr. Ousmane Hamed, Manager Audit Accounting Department Bank Of Africa (B.O.A). I would like to know if this proposal will be worth while for your acceptance. I have a Foreign Customer,Andreas Schranner from Germany who is an Investor, Crude Oil Merchant and Federal Government Contractor that was a victim with Concord Air Line, flight AF4590 killing 113 peole crashed on 25 July 2000 near Paris leaving a closing balance of $10.3m in one of his Private US Dollar Account that is been managed by me as the Customer's Account Officer. Base on my security report, these funds can be claimed without any hitches as no one is aware of the funds and its closing balance except me and the customer (Now Deceased) therefore, I can present you as the Next of Kin and we will work out the modalities for the claiming of the funds in accordance with the law. If you are interested, Please call me to discuss in further details and our sharing ratio will be 60% for me and 30% for you.while 10% will be for the naccasery expenciss that might occur along the line. Thank you, Ousmane Hamed N.B.In other for you to beleive me honestly try and go through this (website)before you start with me. Below is the website. (http://news.bbc.co.uk/1/hi/world/europe/859479.stm) _________________________________________________________________ Avec Windows Live OneCare éliminez tous les virus de votre PC ! http://www.windowslive.fr/liveonecare/default.asp


generator - Procedures for creating and using generators.
The generator package provides commands to define and iterate over generator expressions. A generator is a command that returns a sequence of values. However, unlike an ordinary command that returns a list, a generator yields each value and then suspends, allowing subsequent values to be fetched on-demand. As such, generators can be used to efficiently iterate over a set of values, without having to generate all answers in-memory. Generators can be used to iterate over elements of a data structure, or rows in the result set of a database query, or to decouple producer/consumer software designs such as parsers and tokenizers, or to implement sophisticated custom control strategies such as backtracking search. Generators reduce the need to implement custom control structures, as many such structures can be recast as generators, leading to both a simpler implementation and a more standardised interface. The generator mechanism is built on top of the Tcl 8.6 coroutine mechanism.
The package exports a single ensemble command, generator. All functionality is provided as subcommands of this command. The core subcommands of the package are define, yield, and foreach. The define command works like Tcl's proc command, but creates a generator procedure; that is, a procedure that returns a generator when called. The generator itself is a command that can be called multiple times: each time it returns the next value in the generated series. When the series has been exhausted, the generator command returns an empty list and then destroys itself. Rather than manually call a generator, however, the package also provides a flexible foreach command that loops through the values of one or more generators. This loop construct mimicks the functionality of the built-in Tcl foreach command, including handling multiple return values and looping over multiple generators at once. Writing a generator is also a simple task, much like writing a normal procedure: simply use the define command to define the generator, and then call yield instead of return. For example, we can define a generator for looping through the integers in a particular range:
generator define range {n m} { for {set i $n} {$i <= $m} {incr i} { generator yield $i } } generator foreach x [range 1 10] { puts "x = $x" }
The above example will print the numbers from 1 to 10 in sequence, as you would expect. The difference from a normal loop over a list is that the numbers are only generated as they are needed. If we insert a break into the loop then any remaining numbers in the sequence would never be generated. To illustrate, we can define a generator that produces the sequence of natural numbers: an infinite series. A normal procedure would never return trying to produce this series as a list. By using a generator we only have to generate those values which are actually used:
generator define nats {} { while 1 { generator yield [incr nat] } } generator foreach n [nats] { if {$n > 100} { break } }
Creates a new generator procedure. The arguments to the command are identical to those for proc: a name, a list of parameters, and a body. The parameter list format is identical to a procedure. In particular, default values and the ?args? syntax can be used as usual. Each time the resulting generator procedure is called it creates a new generator command (coroutine) that will yield a list of values on each call. Each result from a generator is guaranteed to be a non-empty list of values. When a generator is exhausted it returns an empty list and then destroys itself to free up resources. It is an error to attempt to call an exhausted generator as the command no longer exists.
Used in the definition of a generator, this command returns the next set of values to the consumer. Once the yield command has been called the generator will suspend to allow the consumer to process that value. When the next value is requested, the generator will resume as if the yield command had just returned, and can continue processing to yield the next result. The yield command must be called with at least one argument, but can be called with multiple arguments, in which case this is equivalent to calling yield once for each argument.
Loops through one or more generators, assigning the next values to variables and then executing the loop body. Works much like the built-in foreach command, but working with generators rather than lists. Multiple generators can be iterated over in parallel, and multiple results can be retrieved from a single generator at once. Like the built-in foreach, the loop will continue until all of the generators have been exhausted: variables for generators that are exhausted early will be set to the empty string.
The foreach command will automatically clean-up all of the generators at the end of the loop, regardless of whether the loop terminated early or not. This behaviour is provided as a convenience to avoid having to explicitly clean up a generator in the usual cases. Generators can however be destroyed before the end of the loop, in which case the loop will continue as normal until all the other generators have been destroyed or exhausted.
The foreach command does not take a snapshot of the generator. Any changes in the state of the generator made inside the loop or by other code will affect the state of the loop. In particular, if the code in the loop invokes the generator to manually retrieve the next element, this element will then be excluded from the loop, and the next iteration will continue from the element after that one. Care should be taken to avoid concurrent updates to generators unless this behaviour is required (e.g., in argument processing).
Manually retrieves the next values from a generator. One value is retrieved for each variable supplied and assigned to the corresponding variable. If the generator becomes exhausted at any time then any remaining variables are set to the empty string.
Returns 1 if the generator (still) exists, or 0 otherwise.
Returns a list of all currently existing generator commands.
Destroys one or more generators, freeing any associated resources.
Used in the definition of a generator procedure, this command arranges for a resource to be cleaned up whenever the generator is destroyed, either explicitly or implicitly when the generator is exhausted. This command can be used like a finally block in the try command, except that it is tied to the life-cycle of the generator rather than to a particular scope. For example, if we create a generator to iterate over the lines in a text file, we can use finally to ensure that the file is closed whenever the generator is destroyed:
generator define lines file { set in [open $file] # Ensure file is always closed generator finally close $in while {[gets $in line] >= 0} { generator yield $line } } generator foreach line [lines /etc/passwd] { puts "[incr count]: $line" if {$count > 10} { break } } # File will be closed even on early exit
If you create a generator that consumes another generator (such as the standard map and filter generators defined later), then you should use a finally command to ensure that this generator is destroyed when its parent is. For example, the map generator is defined as follows:
generator define map {f xs} { generator finally generator destroy $xs generator foreach x $xs { generator yield [{*}$f $x] } }
Creates a generator from a data structure. Currently, supported formats are list, dict, or string. The list format yields each element in turn. For dictionaries, each key and value are yielded separately. Finally, strings are yielded a character at a time.
Converts a generator into a data structure. This is the reverse operation of the from command, and supports the same data structures. The two operations obey the following identity laws (where = is interpreted appropriately):
[generator to $fmt [generator from $fmt $value]] = $value [generator from $fmt [generator to $fmt $gen]] = $gen
The following commands are provided as a standard library of generator combinators and functions that perform convenience operations on generators. The functions in this section are loosely modelled on the equivalent functions from the Haskell Prelude. Warning: most of the functions in this prelude destroy any generator arguments they are passed as a side-effect. If you want to have persistent generators, see the streams library.
Apply a function to every element of a generator, returning a new generator of the results. This is the classic map function from functional programming, applied to generators. For example, we can generate all the square numbers using the following code (where nats is defined as earlier):
proc square x { expr {$x * $x} } generator foreach n [generator map square [nats]] { puts "n = $n" if {$n > 1000} { break } }
Another classic functional programming gem. This command returns a generator that yields only those items from the argument generator that satisfy the predicate (boolean function). For example, if we had a generator employees that returned a stream of dictionaries representing people, we could filter all those whose salaries are above 100,000 dollars (or whichever currency you prefer) using a simple filter:
proc salary> {amount person} { expr {[dict get $person salary] > $amount} } set fat-cats [generator filter {salary> 100000} $employees]
This is the classic left-fold operation. This command takes a function, an initial value, and a generator of values. For each element in the generator it applies the function to the current accumulator value (the zero argument initially) and that element, and then uses the result as the new accumulator value. This process is repeated through the entire generator (eagerly) and the final accumulator value is then returned. If we consider the function to be a binary operator, and the zero argument to be the left identity element of that operation, then we can consider the reduce command as folding the operator between each successive pair of values in the generator in a left-associative fashion. For example, the sum of a sequence of numbers can be calculated by folding a + operator between them, with 0 as the identity:
# sum xs = reduce + 0 xs # sum [range 1 5] = reduce + 0 [range 1 5] # = reduce + [+ 0 1] [range 2 5] # = reduce + [+ 1 2] [range 3 5] # = ... # = reduce + [+ 10 5] <empty> # = ((((0+1)+2)+3)+4)+5 # = 15 proc + {a b} { expr {$a + $b} } proc sum gen { generator reduce + 0 $gen } puts [sum [range 1 10]]
The reduce operation is an extremely useful one, and a great variety of different operations can be defined using it. For example, we can define a factorial function as the product of a range using generators. This definition is both very clear and also quite efficient (in both memory and running time):
proc * {x y} { expr {$x * $y} } proc prod gen { generator reduce * 0 $gen } proc fac n { prod [range 1 $n] }
However, while the reduce operation is efficient for finite generators, care should be taken not to apply it to an infinite generator, as this will result in an infinite loop:
sum [nats]; # Never returns
This is an alias for the reduce command.
This is the right-associative version of reduce. This operation is generally inefficient, as the entire generator needs to be evaluated into memory (as a list) before the reduction can commence. In an eagerly evaluated language like Tcl, this operation has limited use, and should be avoided if possible.
Returns true if all elements of the generator satisfy the given predicate.
Returns true if all elements of the generator are true (i.e., takes the logical conjunction of the elements).
Returns true if any of the elements of the generator are true (i.e., logical disjunction).
Returns a generator which is the concatenation of each of the argument generators.
Given a function which maps a value to a series of values, and a generator of values of that type, returns a generator of all of the results in one flat series. Equivalent to concat applied to the result of map.
Removes the given number of elements from the front of the generator and returns the resulting generator with those elements removed.
Removes all elements from the front of the generator that satisfy the predicate.
Returns true if the generator contains the given element.
A version of foldl that takes the zero argument from the first element of the generator. Therefore this function is only valid on non-empty generators.
A version of foldl that supplies the integer index of each element as the first argument to the function. The first element in the generator at this point is given index 0.
Right-associative version of foldli.
Returns the first element of the generator.
Removes the first element of the generator, returning the rest.
Returns a new generator consisting of all elements except the last of the argument generator.
Returns the next n elements of the generator as a list. If not enough elements are left in the generator, then just the remaining elements are returned.
Returns the next n elements of the generator as a new generator. The old generator is destroyed.
Returns an infinite generator formed by repeatedly applying the function to the initial argument. For example, the Fibonacci numbers can be defined as follows:
proc fst pair { lindex $pair 0 } proc snd pair { lindex $pair 1 } proc nextFib ab { list [snd $ab] [expr {[fst $ab] + [snd $ab]}] } proc fibs {} { generator map fst [generator iterate nextFib {0 1}] }
Returns the last element of the generator (if it exists).
Returns the length of the generator, destroying it in the process.
Returns 1 if any of the elements of the generator satisfy the predicate.
Returns the product of the numbers in a generator.
Returns a generator that consists of n copies of the given elements. The special value Inf can be used to generate an infinite sequence.
Returns the sum of the values in the generator.
Returns a generator of the first elements in the argument generator that satisfy the predicate.
Splits the generator into lists of elements using the predicate to identify delimiters. The resulting lists are returned as a generator. Elements matching the delimiter predicate are discarded. For example, to split up a generator using the string "|" as a delimiter:
set xs [generator from list {a | b | c}] generator split {string equal "|"} $xs ;# returns a then b then c
Similar to foldl, but returns a generator of all of the intermediate values for the accumulator argument. The final element of this generator is equivalent to foldl called on the same arguments.
Please report any errors in this document, or in the package it describes, to Neil Madden.


All Parties to the Convention and its Protocols, relevant organizations, policymakers and scientists are welcome to participate in the Bio-Bridge Initiative. One can participate in the Initiative by :
The main Bio-Bridge beneficiaries are Parties to the Convention and its Protocols. Importantly, activities under the Initiaitive promote involvement and engagement of all relevant stakeholders. Priority for assistance is given to developing country Parties, in particular the least developed and small island developing States among them, Parties with economies in transition, as well as indigenous peoples and local communities.
Any governments and relevant organizations, including non-governmental and intergovernmental organizations, regional organizations, indigenous peoples and local communities, academic institutions, other mechanisms for biodiversity-related technical and scientific cooperation and capacity development, development assistance agencies, foundations and funding agencies as well as private sector partners can provide technical assistance including funding for technical and scientific cooperation projects and specific Bio-Bridge activities.
Any Party, government or relevant organization can announce existing opportunities for technical and scientific cooperation and technology transfer, including available funding for technical and scientific cooperation projects and specific Bio-Bridge activities.


Basic Request
--require module
local db = require('dynamodb.client')
--initialize
db:init({
aws_key = "<AWS access key>",
aws_secret = "<AWS secret key">,
aws_region = "us-east-1",
debug = true
})
--build request payload
local payload =
{
TableName = "Music",
Key =
{
Artist = db:S("The Acme Band"),
SongTitle = db:S("Look Out, World")
}
}
--set up listener
function dbEventListener( evt )
if evt.error then
print(evt.reason, evt.status)
else
local data_table = evt.result --Lua table
end
end
--add event listener
db.events:addEventListener( "DynamoDBEvent", dbEventListener )
--make DynamoDB request
db:request("GetItem", payload)
See also: Attribute Type Methods.
Payloads
For full payload parameters and usage see the included links.
Important
When viewing the DynamoDB API Documentation, all payloads for DynamoDB are shown using JSON notation. You will need to convert the JSON stylings to Lua table structures. If you'd rather construct payloads using JSON, then be sure to json.encode()
your payload before making a request.
All examples below are shown using Lua table structures, which have been converted from JSON.
GetItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_GetItem.html
{
TableName = "Music",
Key =
{
Artist = db:S("The Acme Band"),
SongTitle = db:S("Look Out, World")
}
}
PutItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_PutItem.html
{
TableName = "Music",
Item =
{
Artist = db:S("No One You Know"),
SongTitle = db:S("The Best Song Ever"),
Rating = db:N(5)
}
}
UpdateItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_UpdateItem.html
{
TableName = "Music",
Key = {
Artist = db:S("No One You Know"),
SongTitle = db:S("The Best Song Ever")
},
UpdateExpression = "SET Rating = :val1",
ConditionExpression = "Rating < :val2",
ExpressionAttributeValues =
{
[":val1"] = db:N(10),
[":val2"] = db:N(10)
},
ReturnValues = "ALL_NEW"
}
DeleteItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_DeleteItem.html
{
TableName = "Music",
Key =
{
Artist = db:S("The Acme Band"),
SongTitle = db:S("Still In Love")
}
}
Scan
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_Scan.html
{
TableName = "Music"
}
Query
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_Query.html
{
TableName = "Music",
KeyConditionExpression = "Artist = :val1",
ExpressionAttributeValues =
{
[":val1"] = db:S("No One You Know")
}
}
CreateTable
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_CreateTable.html
{
TableName = "Library",
KeySchema =
{
{
AttributeName = "Book",
KeyType = "HASH"
}
},
AttributeDefinitions =
{
{
AttributeName = "Book",
AttributeType = "S"
}
},
ProvisionedThroughput =
{
ReadCapacityUnits = 5,
WriteCapacityUnits = 5
}
}
ListTables
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_ListTables.html
{
Limit = 5
}
DescribeTable
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_DescribeTable.html
{
TableName = "Music"
}
DeleteTable
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_DeleteTable.html
{
TableName = "Library"
}
BatchGetItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchGetItem.html
{
RequestItems =
{
Music =
{
Keys =
{
{
Artist = db:S("No One You Know"),
SongTitle = db:S("Call Me Today")
},
{
Artist = db:S("The Acme Band"),
SongTitle = db:S("Look Out, World")
}
},
ProjectionExpression = "SongTitle"
},
Library =
{
Keys =
{
{
Book = db:S("A Tale Of Three Eyes")
}
}
}
},
ReturnConsumedCapacity = "TOTAL"
}
BatchWriteItem
http://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchWriteItem.html
{
RequestItems =
{
Library =
{
{
PutRequest =
{
Item =
{
Book = db:S("1000 Degrees In The Sun")
}
}
}
},
Music =
{
{
DeleteRequest =
{
Key =
{
Artist = db:S("The Acme Band"),
SongTitle = db:S("Look Out, World")
}
}
},
{
DeleteRequest =
{
Key =
{
Artist = db:S("No One You Know"),
SongTitle = db:S("My Dog Spot")
}
}
}
}
},
ReturnConsumedCapacity = "TOTAL"
}


New Release Available
Let Google help apps determine location. This means sending anonymous location data to Google, even when no apps are running.
Let Google help apps determine location. This means sending anonymous location data to Google, even when no apps are running.


JavaScript Math
Math.floor(Math.random() * 100) + 1) returns a random integer between 1 and 100 (both included):


@view('header', [ 'title' => $event->name . ' - Events' ])
ACTIVE
@endif @if ($event->type == EVENT_TYPE_LED):Set the LED of "{{ $event->station->name }}" on for {{ $event->duration }} ms
.
Set the beeper of "{{ $event->station->name }}" on at {{ $event->frequency }} Hz
for {{ $event->duration }} ms
.
{{ $event->trigger }}@if (Auth::user()->role >= USER_ROLE_MODERATOR): @endif @view('footer')


Welcome! This is a bug report of sort.
Try to select some text, and find the implementation bug
Find here my CV, my works, etc.
Find here my CV, my works, etc.
To me both on Firefox and Chromium I see something like:
Ideally file the problem with whatever engine, and keep me in the loop
GitHub -> repo
Twitter -> @carlop54002226


|
.NET Framework | |||||||||
| PREV TYPE NEXT TYPE | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONST | PROP | METHOD | OP | EVENT | DETAIL: FIELD | CONST | PROP | METHOD | OP | EVENT |
Main DVSL class - use this as the helper class for apps
| Constructor Summary | |
|---|---|
|
Dvsl() Initializes a new instance of the Dvsl class. |
| Property Summary | |
|---|---|
| System.IO.FileInfo |
LogFile
lets the user specify a filename for logging. |
| NVelocity.Runtime.Log.LogSystem |
LogSystem
lets the user specify a class instance for logging. |
| Commons.Collections.ExtendedProperties |
Toolbox
Loads the toolbox from the input Properties.Currently supports specification of the Toolbox name in the context, creating classes, and string and integer values. Ex : toolbox.contextname = floyd toolbox.tool.footool = Footool toolbox.string.mystring = Hello there! toolbox.integer.myint = 7 toolbox.string.sourcebase = ./xdocs/ So in template, this toolbox and it's values would be accessed as : $context.floyd.footool.getFoo() $context.floyd.mystring $context.floyd.myint |
| NVelocity.Context.IContext |
UserContext
Sets the user context. The user context is a Velocity Context containing user-supplied objects and data that are to be made available in the template |
| bool |
ValidatingParser
Uses a validating parser on all input documents |
| System.Collections.Hashtable |
VelocityConfig
lets the user pass a java.util.Properties containing properties for the configuration of the VelocityEngine used by DVSL |
| Method Summary | |
|---|---|
| object |
GetAppValue(object key) Gets the application value for the specified key |
| void |
Main(string[] args) Allows command-line access. Usage : Dvsl.exe -STYLE stylesheeet [-IN infile] [-OUT outfile] [-TOOL toolboxname] |
| void |
MakeReady() sets up all the context goodies |
| object |
PutAppValue(object key, object value) Sets the application value for the specified key |
| void |
SetStylesheet(System.IO.TextReader value) Sets the stylesheet for this transformation set Note that don't need this for each document you want to transform. Just do it once, and transform away... |
| void |
SetStylesheet(System.IO.FileInfo value) Convenience function. See... |
| void |
SetStylesheet(string value) Convenience function. See... |
| long | Transform(string infile, System.IO.TextWriter writer) |
| long |
Transform(System.Xml.XmlDocument dom4jdoc, System.IO.TextWriter writer) Transforms the given dom4j Document into the writer. |
| long | Transform(System.IO.Stream stream, System.IO.TextWriter writer) |
| long | Transform(System.IO.TextReader reader, System.IO.TextWriter writer) |
| long | Transform(System.IO.FileInfo f, System.IO.TextWriter writer) |
| long | XForm(System.Xml.XmlDocument dom4jdoc, System.IO.TextWriter writer) |
| long |
XForm(System.IO.TextReader reader, System.IO.TextWriter writer) does the transformation of the inputstream into the output writer |
| Methods inherited from class System.Object |
|---|
| Equals, Finalize, GetHashCode, GetType, MemberwiseClone, ToString |
| Constructor Detail |
|---|
public Dvsl()
Initializes a new instance of the Dvsl class.
| Property Detail |
|---|
public System.IO.FileInfo LogFile
lets the user specify a filename for logging.
public NVelocity.Runtime.Log.LogSystem LogSystem
lets the user specify a class instance for logging.
public Commons.Collections.ExtendedProperties Toolbox
Loads the toolbox from the input Properties.Currently supports specification of the Toolbox name in the context, creating classes, and string and integer values. Ex : toolbox.contextname = floyd toolbox.tool.footool = Footool toolbox.string.mystring = Hello there! toolbox.integer.myint = 7 toolbox.string.sourcebase = ./xdocs/ So in template, this toolbox and it's values would be accessed as : $context.floyd.footool.getFoo() $context.floyd.mystring $context.floyd.myint
public NVelocity.Context.IContext UserContext
Sets the user context. The user context is a Velocity Context containing user-supplied objects and data that are to be made available in the template
Parameters:
ctx
- User context of datapublic bool ValidatingParser
Uses a validating parser on all input documents
Parameters:
- validatepublic System.Collections.Hashtable VelocityConfig
lets the user pass a java.util.Properties containing properties for the configuration of the VelocityEngine used by DVSL
| Method Detail |
|---|
public object GetAppValue(object key)
Gets the application value for the specified key
Parameters:
key
- key to use to retrieve valuepublic void Main(string[] args)
Allows command-line access. Usage : Dvsl.exe -STYLE stylesheeet [-IN infile] [-OUT outfile] [-TOOL toolboxname]
protected internal void MakeReady()
sets up all the context goodies
public object PutAppValue(object key, object value)
Sets the application value for the specified key
Parameters:
key
- key to use to store valuevalue
- value to be storedpublic void SetStylesheet(System.IO.TextReader value)
Sets the stylesheet for this transformation set Note that don't need this for each document you want to transform. Just do it once, and transform away...
Parameters:
styleReader
- Reader with stylesheet char streampublic void SetStylesheet(System.IO.FileInfo value)
Convenience function. See...
public void SetStylesheet(string value)
Convenience function. See...
public long Transform(string infile, System.IO.TextWriter writer)
public long Transform(System.Xml.XmlDocument dom4jdoc, System.IO.TextWriter writer)
Transforms the given dom4j Document into the writer.
Parameters:
dom4jdoc
- dom4j Document objectwriter
- Writer for outputpublic long Transform(System.IO.Stream stream, System.IO.TextWriter writer)
public long Transform(System.IO.TextReader reader, System.IO.TextWriter writer)
public long Transform(System.IO.FileInfo f, System.IO.TextWriter writer)
protected internal long XForm(System.Xml.XmlDocument dom4jdoc, System.IO.TextWriter writer)
protected internal long XForm(System.IO.TextReader reader, System.IO.TextWriter writer)
does the transformation of the inputstream into the output writer
|
.NET Framework | |||||||||
| PREV TYPE NEXT TYPE | FRAMES NO FRAMES | |||||||||
| SUMMARY: INNER | FIELD | CONST | PROP | METHOD | OP | EVENT | DETAIL: FIELD | CONST | PROP | METHOD | OP | EVENT |


{{one source|date=March 2013}} {{Infobox prepared food | name = Burebrot | image = | caption = | alternate_name = Bauernbrot, pain paysan, pane del nonno | country = Switzerland | region = | creator = Ecole Professionnelle de Richemont | course = | type = Bread | served = | main_ingredient = Flour (rye and wheat), yeast, milk, water | variations = | calories = | other = }}
Burebrot, Bauernbrot, Pain paysan or Pane del nonno ({{lang-en|Farmers' bread}}) is a bread made in Switzerland. "Bauernbrot" is also made in Germany. Unlike most other breads, which are mainly composed of flour, yeast and water, the Burebrot also contains milk.<ref name=kulinarischeserbe.ch>{{kulinarischeserbe.ch|150|Bauernbrot / Pain paysan / Pane del nonno}}</ref>
The bread is made by mixing rye and wheat flour, water, salt, yeast and a leavening agent into a dough, which is formed into a round shape. After 70 to 90 minutes, the surface is cut with a knife to create a decorative lozenge pattern and the bread is baked first at a high, then at a moderate temperature until the crust is crunchy.<ref name="kulinarischeserbe.ch" />
Despite its name, the Burebrot is of relatively recent origin: it was developed in 1955 by the Ecole Professionnelle de Richemont in cooperation with the Swiss Bakers' Association as a way to make use of surplus milk.<ref name="kulinarischeserbe.ch" /> It is now available in most Swiss bakeries and supermarkets as a bread for everyday consumption. As a bread developed by professionals, it is not usually made at home.<ref name="kulinarischeserbe.ch" />
{{reflist}}
{{Swiss bread}} {{Bread}} {{Portal bar|Food|Switzerland}}


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This partial function defines the interface to the gravity function used in the World object. All gravity field functions must inherit from this function. The input to the function is the absolute position vector of a point in the gravity field, whereas the output is the gravity acceleration at this point, resolved in the world frame.
partial function partialGravityAcceleration extends Modelica.Icons.Function; input Modelica.SIunits.Position r[3] "Position vector from world frame to actual point, resolved in world frame"; output Modelica.SIunits.Acceleration gravity[3] "Gravity acceleration at position r, resolved in world frame"; end partialGravityAcceleration;


Hi! My name is Teodor. I'm a friendly person, open to new opportunities and willing to try on new technologies and ideas related to my field of study, but not only. I am studying Computer Science and Engineering at the Technical University of Cluj-Napoca, one of the most prestigious in the field in my country.
I have been fond of IT since early childhood, having my first computer at the age of 5. But only during high school I took my first steps into informatics.
I had the opportunity to take part of an amazing group of informatics enthusiasts from my area while participating in regional informatics (algorithmic) and mathematics contests, where I have also obtained various awards (see my LinkedIn page). I have also participated in an Erasmus Mobility Programme, in Ireland.
I keep participating now and then at algorithmic contests, although this is no longer my main purpose. I am looking for opportunities which can enhance my career and help me gain relevant knowledge and experience for the future.
Algorithms, Data Structures, Mathematics, Object Oriented Design, Databases, basic operating systems architecture, Logic Design
Java, C, C++, Java for Android, Assembly, Prolog, Lisp, VHDL, Pascal
SQL (MySQL), NoSQL (MongoDB), HTML, CSS, OpenGL, JSON, XML, Git, Maven, FPGA
July 2014 - Sept 2014
Software developer intern for Hewlett-Packard in Cluj-Napoca. I have worked in Java, for an enterprise application. My role, along with a colleague, was to add a new functionality to the application. Our work involved understanding the application's architecture, in order to extend it, and working with databases.
Sept 2013 - Dec 2013
Erasmus mobility to University College Cork, Ireland for a semester. Among things studies, I can mention Mobile Applications Design - Android, OS, XML, databases. I have also participated at IEEEXtreme 7.0 24hour contenst where I took 2nd place on University, 4th place in Ireland.
March 2013 - May 2013
Training at Bitdefender Cluj-Napoca, an anti-virus company. The main targets of the training were assembly language programming, reverse engineering and low-level C programming. The training consisted of several weeks on each of the topics, followed by an eliminatory test. I have successfully finished the full training.
Sept 2012 - present
Started studying at the Faculty of Computer Science, at the Technical University of Cluj-Napoca.


Provides geometric- and regression-based forecast combination methods under a unified user interface for the packages 'ForecastCombinations' and 'GeomComb'. Additionally, updated tools and convenience functions for data pre-processing are available in order to deal with common problems in forecast combination (missingness, collinearity). For method details see Hsiao C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE (2007). <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A, Timmermann A (2013). <doi:10.1016/j.jeconom.2013.04.017>, and Clemen RT (1989). <doi:10.1016/0169-2070(89)90012-5>.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | forecast (≥ 7.3), ggplot2 (≥ 2.1.0), Matrix (≥ 1.2-6), mtsdi (≥ 0.3.3), psych (≥ 1.6.9), quadprog (≥ 1.5-5), quantreg (≥ 5.29) |
| Suggests: | testthat (≥ 1.0.2) |
| Published: | 2018-08-07 |
| Author: | Christoph E. Weiss, Gernot R. Roetzer, Eran Raviv |
| Maintainer: | Christoph E. Weiss <info at ceweiss.com> |
| BugReports: | https://github.com/ceweiss/ForecastComb/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/ceweiss/ForecastComb |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | TimeSeries |
| CRAN checks: | ForecastComb results |
| Reference manual: | ForecastComb.pdf |
| Package source: | ForecastComb_1.3.1.tar.gz |
| Windows binaries: | r-devel: ForecastComb_1.3.1.zip, r-release: ForecastComb_1.3.1.zip, r-oldrel: ForecastComb_1.3.1.zip |
| OS X binaries: | r-release: ForecastComb_1.3.1.tgz, r-oldrel: ForecastComb_1.3.1.tgz |
| Old sources: | ForecastComb archive |
Please use the canonical form https://CRAN.R-project.org/package=ForecastComb to link to this page.


Contract
| Vendor Name | SIMPLY MEASURED |
|---|---|
| Description of Work | Communications professional services |
| Comments | Social media monitoring. This contract was non-competitive (under $25,000.00). |
| Reference Number | 5027907 |
| Contract Date | 2016-03-31 |
| Contract Period | 2016-03-31 to 2017-03-30 |
| Contract Value | $ 23,191.40 |
* Use either Contract Period or Delivery Date.


About
Who we are
We are Upscale.io.
- It is free
- It is easy
- It has a good community. You can chat with others, has a good amount of articles and most of all, It keeps upgrading.
The aim of Upscale.io is to provide eveyone a clean and user expereience of upscaling an image without actually having to worry about any of the technical terms.
Learn MoreServices
What do we offer
Free Upscale
Yep. you heard that right. It is infact, free meaning you don't have to go out of your way to pay for anything that you do.
Good articles
Wann know more about upscaling? Don't worry. We have every assets you could probaby need.
Testimonials
What they are saying about us
F.A.Q
Frequently Asked Questions
-
Why Upscale.io?
Well, it's free. Duh!
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Is it really good?
Yes.
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Does it actually work?
Yup.
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Is it free?
Yep.
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Are you just writing yes to everything?
No 🙄
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Ok then, How does it work?
Magic 😉
Team
Our Hardworking Team
Me
StudentMe
StudentStill me
Photo matra farak hoMe
Yep, ma matra hoContact
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Location:
Kalimati, Kathmandu
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<EMAIL_ADDRESS>Yep, upsclae not upscale
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{% extends "simple.html" %} {% block content %}
You are logged in with XSEDE identity {{loginstat["identity"]}}.
There was a problem loading the server list. No login servers!
Here are the tokens we have available:
{{loginstat["tokens"]}}


This Site is used for analysing a text and sending back the number times a word is present in the text entered
Name: Saurabh Tewary
Age: 33


Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
| Version: | 0.2.0 |
| Imports: | crul (≥ 0.5.2), httr, webmockr (≥ 0.2.8), urltools, yaml, R6, lazyeval, base64enc |
| Suggests: | jsonlite, testthat, knitr, rmarkdown |
| Published: | 2018-10-19 |
| Author: | Scott Chamberlain [aut, cre] |
| Maintainer: | Scott Chamberlain <sckott at protonmail.com> |
| BugReports: | https://github.com/ropensci/vcr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ropensci/vcr/ (devel) https://ropensci.github.io/http-testing-book/ (user manual) |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | WebTechnologies |
| CRAN checks: | vcr results |
| Reference manual: | vcr.pdf |
| Vignettes: |
2. vcr configuration 3. request matching 1. vcr introduction |
| Package source: | vcr_0.2.0.tar.gz |
| Windows binaries: | r-devel: vcr_0.2.0.zip, r-release: vcr_0.2.0.zip, r-oldrel: vcr_0.2.0.zip |
| OS X binaries: | r-release: vcr_0.2.0.tgz, r-oldrel: not available |
| Old sources: | vcr archive |
| Reverse suggests: | bold, microdemic, nasapower, rbison, rdatacite, rgbif, ritis, rnoaa, rphylopic, rplos, rredlist, webmockr, wikitaxa, worrms, zbank |
Please use the canonical form https://CRAN.R-project.org/package=vcr to link to this page.


--- layout: home ---
I always loved that question. I built this mini site out of pure curiousity and the urge to compile a zine of what people would do in certain circumstances. I decided to create a site that asks the visitor a new question each day and doesn't take any personal information about them. I'm going to launch this site in January of 2020 and everyday I'm going to collect all the answers and compile them into a zine for people to have.
You can visit the site here.


| Pick up | Pick up location type | Drop off | Drop off location type | Unit price |
|---|---|---|---|---|
| [[${journey.fromSiteName}]] | [[${journey.fromLocationType}]] | [[${journey.toSiteName}]] | [[${journey.toLocationType}]] | £[[${#numbers.formatDecimal(journey.unitPriceInPounds(), 1, 'COMMA', 2, 'POINT')}]] |


Anthony Perkins will always be Norman Bates in my heart, and the original "Psycho" will always be one of the great suspense thrillers of all time. Having said that, I watched "Psycho II" again the other night and as much as I admire some of it, it falls two thousand peaks below the original (but less so than the bloated Van Sant remake).
Perkins is once again a tanned - but older - Norman, as he is released from a mental institution after spending 23 years there for murder. The man is still as loony as ever and returns to the dreaded, ominous house across from the Bates Motel. Life has changed dramatically for poor old Norman. Firstly, he starts to work at a greasy spoon kitchen. Secondly, a sleazy owner (Dennis Franz) runs the Bates Motel now, occupied by oversexed teens, drug addicts, drunks, etc. And to make matters worse, Norman has invited a demure, clumsy waitress (Meg Tilly) to stay at his house as a roommate. But now Norman is getting phone calls from someone purporting to be his dead mother! Who is it? Could it be the high-strung, vengeful Lila Crane (Vera Miles returning from the original)?
"Psycho II" has some tension, generated mostly from Perkins, who does solid work as an older, kinder Norman. I particularly like the moment when he slices bread while staring intensely at the knife. The direction by Richard Franklin is diverting, and there are numerous high-angles of the Bates House and one exceedingly wide-angle lens shot that shows the house to be more dangerous than inviting.
In fact, there is a lot to savor in this film, but it never jells (as Martin Balsam's Arbogast said in the original). During the second half of the film, it borders on the slasher-film mentality (including a gratuitous scene where two teens make out in the basement of the Bates House). One too many killings slices the psychological impact that I am guessing writer Tom Holland was after - to expose Norman as something more than having a murderous Oedipal Complex.
The cast is uniformly perfect (including Vera Miles, Meg Tilly and Robert Loggia as a doctor), the visuals are scarily effective, the music occasionally spooky (though it does lack the late composer Herrmann's thrust). But it is an undernourished sequel, lacking the cleverness, depth and madness of the original. And showing the infamous shower scene from the original does little justice to this movie.
Overall, this is a decent sequel that would not make Hitchcock roll over in his grave in shame. Maybe he would just twitch a little.
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


UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>How to manage how your instance recovers from a host failure
Overview
UKCloud monitors UKCloud for OpenStack at regular intervals, checking for issues with the hardware or services supporting OpenStack. When a host experiences problems, our engineers will take steps to live migrate any instances on the affected host to an alternative one, however there may be cases where a host needs to be rebooted prior to any live migrations being successfully actioned.
This guide outlines UKCloud's policy for handling OpenStack instances in the event of a service interruption to the availability of a host. The guide also describes how you can control the running state instances return when a host has been recovered.
How does instance recovery work?
 When we recover a host, there are two options for the recovery state of any instances that may have been affected:
Manual restart of instance (default) - you must restart any affected instances when the host has been recovered
Automatic restart of an instance - UKCloud will automatically restart any shut off instances on a recovered host
You can set the recovery option for each of your instances in the instance metadata.
Using the OpenStackClient command-line interface
You can use the OpenStackClient command-line interface (CLI) to view and set the instance recovery option as follows:
Checking the recovery option for an instance (CLI)
To use the OpenStackClient CLI to check the recovery option for an instance:
Run the following command from the OpenStackClient CLI:
openstack server show <instance_ID_or_name>
If the
properties
field in the results includesRestartOnFail='True'
(as shown below), then your instance is set to automatically restart when the host has been recovered.If the
properties
field does not includeRestartOnFail
, then your instance will remain in a shut off state when the host has been recovered and you'll have to manually restart it.
Setting the recovery option for an instance (CLI)
To use the OpenStackClient CLI to set the recovery option for an instance:
To set the recovery option so that the instance is automatically restarted when the host has been recovered, run the following command:
openstack server set --property RestartOnFail=True <instance_ID_or_name>
To set the recovery option so that you must manually restart the instance when the host has been recovered, run the following command:
openstack server unset --property RestartOnFail <instance_ID_or_name>
Using the OpenStack Horizon dashboard
If you prefer, you can use the OpenStack Horizon dashboard to view and set the recovery option for an instance.
Checking the recovery option for an instance (Horizon)
To use the Horizon dashboard to check the recovery option for an instance:
In the left side of the Horizon dashboard, expand the Compute menu and click Instances.
On the Instances page, from the Actions list for your instance, select Update Metadata.
In the Update Instance Metadata dialog box, if the Existing Metadata section includes the RestartOnFail='True' (as shown below), then your instance is set to automatically restart when the host has been recovered.
If the Existing Metadata section does not include the
RestartOnFail
tag, then your instance will remain in a shut off state when the host has been recovered and you'll have to manually restart it.
Setting the recovery option for an instance (Horizon)
To use the Horizon dashboard to set the recovery option for an instance:
In the left side of the Horizon dashboard, expand the Compute menu and click Instances.
On the Instances page, from the Actions list for your instance, select Update Metadata.
In the Update Instance Metadata dialog box:
To set the recovery option so that the instance is automatically restarted when the host has been recovered, in the Custom field, enter
RestartOnFail
and click the + button.Then, in the RestartOnFail field, enter True.
To set the recovery option so that you must manually restart the instance when the host has been recovered, next to the RestartOnFail field, click the – button.
Click Save.
Exclusions to UKCloud-managed instance recovery
Although we've designed UKCloud for OpenStack to provide a level of hardware resilience, UKCloud, like most true cloud vendors, cannot guarantee total automated recovery of virtual resources in the event of infrastructure failures.
As a result, you must ensure that the applications you deploy on OpenStack have been engineered to tolerate any infrastructure issues or failures through utilising multiple instances deployed across different zones to help ensure the overall availability of your solution.
Next steps
For more information about UKCloud for OpenStack, see the following articles in the Knowledge Centre:
Feedback
If you find a problem with this article, click Improve this Doc to make the change yourself or raise an issue in GitHub. If you have an idea for how we could improve any of our services, send an email to feedback@ukcloud.com.


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Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free induction decay (raw data) and based on a processing sequence (macro-command file). An additional file specifies all the spectra to be considered by associating their sample code as well as the levels of experimental factors to which they belong. More detail can be found in Jacob et al. (2017) <doi:10.1007/s11306-017-1178-y>.
| Version: | 1.2.1 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.12.7), base64enc (≥ 0.1), MASS (≥ 7.3), Matrix, methods, doParallel (≥ 1.0.11), foreach (≥ 1.4.4), igraph (≥ 1.2.1), impute (≥ 1.54.0), MassSpecWavelet (≥ 1.46.0), ptw (≥ 1.9), signal (≥ 0.7), speaq (≥ 2.3.3), XML (≥ 3.98) |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-09-11 |
| Author: | Daniel Jacob [cre, aut], Catherine Deborde [ctb], Marie Lefebvre [ctb] |
| Maintainer: | Daniel Jacob <daniel.jacob at inra.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | Institut National de la Recherche Agronomique (INRA) |
| URL: | https://github.com/INRA/Rnmr1D |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | Rnmr1D results |
| Reference manual: | Rnmr1D.pdf |
| Vignettes: |
Features illustration of the Rnmr1D package |
| Package source: | Rnmr1D_1.2.1.tar.gz |
| Windows binaries: | r-devel: Rnmr1D_1.2.1.zip, r-release: Rnmr1D_1.2.1.zip, r-oldrel: not available |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | Rnmr1D archive |
Please use the canonical form https://CRAN.R-project.org/package=Rnmr1D to link to this page.


1. Introduction
-
1.1 Terminologies
-
Job : A piece of code that reads some input (HDFS or local), performs some computation and writes output.
-
Stages : Jobs are divided into stages. Stages are classified as a Map or reduce stages. Stages are divided based on computational boundaries, all computations cannot be Updated in a single Stage. It happens over many stages.
-
Tasks : Each stage has some tasks. One task is executed on one partition of data on one executor (machine).
-
DAG : DAG stands for Directed Acyclic Graph, in the present context its a DAG of operators.
-
Executor : The process responsible for executing a task.
-
Master : The machine on which the Driver program runs
-
Slave : The machine on which the Executor program runs
-
-
1.2 Spark Components
-
Spark Driver
-
separate process to execute user applications
-
creates SparkContext to schedule jobs execution and negotiate with cluster manager
-
-
Executors
-
run tasks scheduled by driver
-
store computation results in memory, on disk or off-heap
-
interact with storage systems
-
-
Cluster Manager
-
Apache Mesos : a general cluster manager that can also run Hadoop MapReduce and service applications.
-
Hadoop YARN : the resource manager in Hadoop.
-
Spark Standalone : a simple cluster manager included with Spark that makes it easy to set up
-
-
-
1.3 How Spark Works?
-
Spark has a small code base and the system is divided in various layer.
-
Each layers has some responsibilities. The layers are independent of each other
-
Interpreter : The first layer is the interpreter, Spark uses a Scala interpreter, with some modifications. As you enter your code in spark console (creating RDD’s and applying operators), Spark creates a operator graph.
-
DAG Scheduler : When the user runs an action (like collect), the Graph is submitted to a DAG Scheduler. The DAG scheduler divides operator graph into (map and reduce) stages. A stage is comprised of tasks based on partitions of the input data. The DAG scheduler pipelines operators together to optimize the graph. For e.g. Many map operators can be scheduled in a single stage. This optimization is key to Sparks performance. The final result of a DAG scheduler is a set of stages.
-
Task Schedular : The stages are passed on to the Task Scheduler. The task scheduler launches tasks via cluster manager. (Spark Standalone/Yarn/Mesos). The task scheduler doesn’t know about dependencies among stages.
-
-
2. Install Spark Locally
-
2.1 Prerequisite
-
Check java version first
-
Then, just install miniconda3 and create virtual environment based on python 3.6
java -version # The command above might show something like below >> openjdk version "1.8.0_262" >> OpenJDK Runtime Environment (build 1.8.0_262-b10) >> OpenJDK 64-Bit Server VM (build 25.262-b10, mixed mode)
-
-
2.2 Download Spark
# Download spark wget https://downloads.apache.org/spark/spark-3.0.1/spark-3.0.1-bin-hadoop2.7.tgz # unzip tar -xvzf spark-3.0.1-bin-hadoop2.7.tgz # move to home and rename mv spark-3.0.1-bin-hadoop2.7 ~/spark
-
2.3 Install pyspark
pip install pyspark
-
2.4 Change the execution path for pyspark
export SPARK_HOME="/your_home_directory/spark/" export PATH="$SPARK_HOME/bin:$PATH"
-
2.5 Test
$ pyspark
-
2.6 PySpark in Jupyter
# add below lines in .bashrc export PYSPARK_DRIVER_PYTHON=jupyter export PYSPARK_DRIVER_PYTHON_OPTS='notebook' # And run $ pyspark >> will give you a url for jupyter notebook
3. Cheat Sheet
3.1 Initialization & Configuration
-
SparkContext
: provides connection to Spark with the ability to create RDDs -
SQLContext
: procides connection to Spark with the ability to run SQL queries on data -
SparkSession
: all encompassing context which includes coverage forSparkContext
,SQLContext
and HiveContext
import pyspark
from pyspark import SparkContext
from pyspark.sql import SparkSession
from pyspark.sql import SQLContext
# create a SparkSession instance with the name 'appname'
spark = SparkSession.builder.appName("appname").getOrCreate()
# create a SparkContext instance which allows the Spark Application to access
sc = SparkContext.getOrCreate()
# create a SQLContext instance to access the SQL query engine built on top of Spark
sqlContext = SQLContext(spark)
3.2 Dataframe
- Explore Dataframe
# Prints out the schema in the tree format.
df.printSchema()
# To get the number of rows
df.count()
- Modifying Dataframe
# Create a column
df = df.withColumn('column_new', F.lit('abc')) # with the defalut value 'abc'
df = df.withColumn('column_new', 2*F.col('exisisting column')) # using an existing column
# Change Column Name
df.withColumnRenamed("column_ori", "column_new")
# add index column
from pyspark.sql.functions import monotonically_increasing_id
df_index = df.select("*").withColumn("id", monotonically_increasing_id())
# filter (=where)
df.filter(df.column_float.between(7.5,8.2))
# remove column
df.drop("column_drop")
# grouped data : GroupBy allows you to group rows together based off some column value
df.groupBy("column_name").
.count() # Returns the count of rows for each group.
.mean() # Returns the mean of values for each group.
.max() # Returns the maximum of values for each group.
.min() # Returns the minimum of values for each group.
.sum() # Returns the total for values for each group.
.avg() # Returns the average for values for each group.
.agg() # Using agg() function, we can calculate more than one aggregate at a time.
.pivot() # This function is used to Pivot the DataFrame
- Read and Write
# create a SparkSession instance with the name 'appname'
spark = SparkSession.builder.appName("appname").getOrCreate()
# read (csv, json, text, parquet)
df = spark.read.csv('PATH_CSV')
# write
df.coalesce(1).write.csv("sample.csv")
3.3 Join
- Inner join : essentially removes anything that is not common in both tables. It returns all data that has a match under the join condition(
on
expression is true) from both sides of the table - Outer join : allows us to include in the result rows of one table for which there are no matching rows round in another table
- Left join : all rows of the left table remain unchanged, regardless of whether there is a match in the right table or not. When a id match is found in the right table, it will be returned or null otherwise
- Right join : performs the same task as the left join, but for the right table.
# Use union, if scheme of dfs are same.
df1.join(df2, on='column', how='inner')
# Drop duplicate rows using dropDuplicates(), otherwise df_new will also have duplicate rows
df2 = df2.dropDuplicates((["KEY", "UID"])) # rows with same KEY but diff UID will remain
# update df1 with df2 using outer join
cols = ["DOC_TITLE", "CHANNEL_NAME", "CHANNEL_PC_URL", "VIDEO_THUMBNAIL", "MODIFY_DATE", "INFER_DATE"]
df_new = df.alias("a")
.join(df2.alias("b"), ["KEY", "UID"], how="outer")
.select("KEY","UID", *(F.coalesce("b." + col, "a." + col).alias(col) for col in cols))
3.4 SQL functions
from pyspark.sql import functions as F
# Aggregate function: returns a set of objects with duplicate elements eliminated.
F.collect_set()
# Bucketize rows into one or more time windows given a timestamp specifying column.
F.window(timeColumn='timestamp', windowDuration='20 minute')
# Creates a Column of literal value.
F.lit()
# Replace all substrings of the specified string value that match regexp with rep.
F.regexp_replace()
3.5 User Defined Function
-
input arguments for udf should be column name as you can see in line no.3 or you might get an
TypeError: Invalid argument, not a string or column: 2 of type <class ‘int’>. For column literals, use ‘lit’, ‘array’, ‘struct’ or ‘create_map’ function
# User Defined Functions def func(x): return x test_udf = F.udf(lambda x : func(x), ArrayType(StringType())) df_udf = df.withColumn('udf', test_udf('input_column_name'))
3.6 Others
$"colname"
is converted to Column by SQLContext.implicits$.StringToColumn
# zeppelin plot
def show(p):
import io
img = io.StringIO()
p.savefig(img, format='svg')
img.seek(0)
print("%html
" + img.getvalue() + "
")
4.


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The photo you tried to upload isn't dogo enough. We only accept dogo's favourite JPG file. But here, have a dogo:


Hanamura Attack Beam LevelUp 2ch 03
Hanamura ShieldBuff Self 2ch 02
Hanamura ShieldBuff Self 2ch 03
Hanamura Attack Beam LevelUp 2ch 02
Hanamura ShieldBuff Self 2ch 01
Hanamura Attack Beam LevelUp 2ch 01
Hanamura GravitonSurge Impact 2ch 01
IntroResponse Overwatch00
Hanamura ParticleGrenade Explosion 2ch 01
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Hanamura Attack Beam LevelDown 2ch 03
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IntroQuestion Overwatch00
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Recent Agents
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Organization: Linens And Things
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Designation: Mail Process Operator
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Manage Document
@startuml
left to right direction
(Add\nBrief) as (add)
(Edit\nBrief) as (edit)
(Archive\nBrief) as (archive)
(Restore\nBrief) as (restore)
(Choose\nTemplate) as (template)
(Open in\nMS Word) as (word)
ACT_EDITOR .. (add)
(add) --> (template)
(template) --> (word)
ACT_EDITOR .. (edit)
(edit) --> (word)
ACT_EDITOR .. (archive)
(archive) --> (Mark Brief\nand Supporting Items\nas Archived)
ACT_EDITOR .. (restore)
(restore) --> (Remove\nArchive Marking\nfrom Brief\nand Supporting Items)
@enduml


Set user: changes the set of credentials in use by fish.
FORM
[fish] su userspec
EXAMPLES
$ fish su bert
The fish command expects user credentials for Fluidinfo to be stored in a file in the users’s home directory. On unix systems, this file is ~/.fluidDBcredentials; on Windows systems it is fluiddbcredentials.ini in the user’s home folder..
The the user has access to more than on Fluidinfo account, multiple credentials may be stored in variant files. In unix systems, these files have names like ~/.fluidDBcredentials.bert; on windows they have names like fluiddbcredentials-bert.ini.
A different set of credentials can be used for any one-off command by adding -u bert to the command line; this will cause the credentials in the bert variant of the file to be used.
The fish su command changes the default set of credentials to be used by copying the specified variant file over the default file. Because it is a simple copy, this is a global change, i.e. it affects all sessions, not just one in the current shell. So on unix,
su alice
is exactly equivalent to
cp ~/.fluidDBcredentials.alice ~/.fluidDBcredentials


TECNO’S BLACK FRIDAY WILL BREAK THE INTERNET!
by Laila IjeomaTECNO’s Black Friday has to be the biggest, most generous flash sale in the history of flash sales!
TECNO is a brand that truly cares for Nigerians, they understand that a lot of Nigerians depend on this time of the year to buy things at discounted prices. And so, year in, year out, they make sure to make Black Friday a memorable one.
Who doesn’t love discounts? Coupon codes come in handy especially when what you are buying is pretty and needed.
TECNO’S BLACK FRIDAY
The Big Black Friday 50% Flash Sale from TECNO opened this November. It is the biggest and best Black Friday offer from TECNO. It is happening online right now and will further happen offline as well on the 29th of November 2019.
Head over to TECNO’s social media pages, take a chance at the weekly riddles that drops every Friday to qualify as a winner. If you think this is not for you, why not share this article to that friend and spread the love round—the friend will be paying half the price for a new TECNO Spark 4!
TECNO BLACK FRIDAY – How it works:
So, here is how it works. There will be an online riddle for the first four weeks of the month of November 2019.
For each of those four weeks, there will be a winner each week. Winners have already emerged for week one and week two.
Each winner will be able to buy the TECNO Spark 4 at 50% off. (That is NGN17,250 only)
While that is going on online, there will be an offline Flash Sale in selected mobile phone stores on the last Friday in November between 2 PM and 3 PM.
Do you know what is great about this? Even those who won’t get a 50% get to win instant gift items once they purchase a TECNO Spark 4!
Fantastic right?
I know you will like to have more information to be sure of what to do. So, here are the platforms where you will find the details you need;
Facebook – @TECNOMobileNigeria
Twitter & Instagram – @tecnomobileng
TECNO SPOT website http://bbs.tecno-mobile.comm
Goodluck!


Fri May 16, 2014
If I told you I have a blog draft from April 2, 2014 entitled “Google needs to buy Word Lens now”, would you believe me? I guess it doesn’t matter because I never published it. But it’s true. And now today’s news of my prediction coming true. I think I need to trust my gut more.


D3plus 2.0 Workshop
Getting Started
Single Variable Visualizations
Tree Map
Pie Chart
Tree
Multiple Variable Visualization
Plot
Complex Visualizations
Priestley
Geo Map


Classes
The following classes are available globally.
-
A class for handling
See moreUIControl.addTarget(_:action:forControlEvents:)
in a pure swift class.Declaration
Swift
public class ObjectTarget<T:UIControl>:NSObject
-
Implementation of
Observer
for observing a keypath setter of an object. Observation begins oninit
and ends ondeinit
unless called otherwise.For efficiency the class is marked as final. If necessary, convenience initialisers can be created using extensions.
See moreDeclaration
Swift
public final class ObjectObserver:NSObject, Observer
-
Implementation of
Observer
for observing anNSNotificationCenter
. Observation begins oninit
and ends ondeinit()
unless called otherwise.For efficiency the class is marked as final. If necessary, convenience initialisers can be created using extensions.
See moreDeclaration
Swift
public final class NotificationObserver:NSObject, Observer


Engineering is creating things, whether they be physical such as robots and mechanisms, or virtual, like computer coding and even this very website. Engineers aim to create things to make the world better.
Anybody can be an engineer, as long as they have a passion for creating things and an imagination. All you need is a strong work ethic, so go ahead!
Of course! You can make whatever you want and find uses for anything. Plus, you get to work with talented individuals and collaborate on interesting projects!
Work in progress. To contribute to the content of this website, click here.


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