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Ruby Array Methods
A reference sheet of useful methods for Ruby arrays.
Nov. 1, 2015
Array Methods Index
Iteration Methods
These methods iterate over the array, executing a code block on each item, generally returning either a new array or nil
. #map!
is the only destructive method included in this section.
Array#each { |item| block }
Action: Executes block on each item in array.
Returns: The original array, unchanged.
- [1,2,3].each { |i| puts i.to_s + "?" }
- 1?
- 2?
- 3?
- => [1, 2, 3]
Array#each_index { |index| block }
Action: Executes block on each item.
Returns: The original array, unchanged.
- ary = ['|','*','+','^']
- ['|','*','+'].each_index { |i| puts array[i] * i }
- *
- ++
- ^^^
- => ["|", "*", "+", "^"]
Enum#each_slice(int) { |slice| block }
Action: Executes block on each slice of int length.
Returns: nil
.
- [1,2,3,4,5,6].each_slice(2) { |slice| p slice }
- [1, 2]
- [3, 4]
- [5, 6]
- => nil
Array#reverse_each { |item| block }
Action: Executes block on each on each item, iterating from last to first.
Returns: The original array, unchanged.
- [1,2,3].reverse_each { |i| puts i.to_s + "^"}
- 3^
- 2^
- 1^
- => [1, 2, 3]
Array#cycle(integer) { |item| block }
Action: Executes block on each on each item in collection (integer) times.
Returns: nil
.
Note: When called without an integer argument, #cycle will continue to loop indefinitely.
- [1,2,3].cycle(2) { |i| puts i.to_s + '|'}
- 1|
- 2|
- 3|
- 1|
- 2|
- 3|
- => nil
Array#map { |item| block }
Action: Executes block on each on each item.
Returns: New array of values changed by block.
- arr = [1,2,3]
- arr.map { |i| puts i * 2 }
- 2
- 4
- 6
- => [2, 4, 6]
- arr
- => [1, 2, 3]
Array#map! { |item| block }
Action: Executes block on each on each item, changing the array in place.
Returns: The amended array, with values changed by block. Destructive.
- arr = [1,2,3,4]
- arr.map! { |i| i * 2 }
- => [2, 4, 6, 8]
- arr
- => [2, 4, 6, 8]
Information Methods
These methods return information about the array or the items it contains, without making any changes to the original array. These methods are non-destructive.
Returns: Number of items in array. Note: #size and #count are synonyms for #length. Returns: Number of items in array. Note: Called without an argument, #count is a synonym for #length. #count(object) returns the number of times object occurs in array. #count { |item| block } returns the number of items in the array that evaluate to Returns: Returns: Returns: Returns: Returns: Returns: Index of first occurence of object in array. Note: #find_index is a synonym for #index. Called with a block, #index { |item| block } returns index of the first item for which block returns Returns: Index of last occurence of object in array. Note: Called with a block, #rindex { |item| block } returns index of last item for which block evaluates to true.Array#length
Array#count
true
for the block.
Array#all? { |item| block }
true
if all items in array evaluate to true
for block.
Enumerable#none? { |item| block }
true
if no items in array evaluate to true
for block.
Enumerable#any? { |item| block }
true
if one or more items in array evaluate to true
for block.
Enumerable#one? { |item| block }
true
if exactly one item in array evaluates to true
for block.
Array#include?(object)}
true
if object is present in array.
Array#index(object)}
true
.
Array#rindex(object)}
Data Retrieval Methods
These methods return a specified item, or an array of specified items, without making any changes to the original array. These methods are non-destructive.
Array#slice(index)
Returns: Item at index.
Notes: Synonymous with Array#[index]. Called with two arguments, #slice(index, quantity) returns a new array of quantity items from the original array, starting at index. Called with a range argument, #slice(range) returns a new array of items at the range of indices.
- #slice(index)
- ['a','b','a','c','a','b'].slice(3)
- => "c"
- #slice(index, quantity)
- ['a','b','a','c','a','b'].slice(2, 3)
- => ["a", "c", "a"]
- #slice(range)
- ['a','b','a','c','a','b'].slice(2..4)
- => ["a", "c", "a"]
Array#values_at(index,…)
Returns: A new array of items from the specified indices.
Note: When called with a range argument, #values_at is synonymous with #slice(range).
- ['a','b','c','d','e','f'].values_at(1,4,5)
- => ["b", "e", "f"]
Array#take(integer)
Returns: A new array of the first integer items.
- ['a','b','c','d','e','f'].take(3)
- => ["a", "b", "c"]
Array#take_while ( |item| block)
Returns: A new array containing all items up to the first item that evaluates to false
for the block.
- [1,2,3,4,5,6,7,8].take_while { |x| x < 5 }
- => [1, 2, 3, 4]
Array#drop(integer)
Returns: A new array, excluding the first integer items.
- ['a','b','c','d','e','f'].drop(2)
- => ["c", "d", "e", "f"]
Array#drop_while ( |item| block)
Returns: A new array excluding all items up to the first item that evaluates to false
for the block.
- [1,2,3,4,5,6,7,8].drop_while { |x| x < 7 }
- => [7, 8]
Array#first
Returns: The first item in the array.
Note: When called with an integer argument, #first(int) returns the first integer items. #first(int) is synonymous with #take(int).
- #first
- ['a','b','c','d','e','f'].first
- => "a"
- #first(integer)
- ['a','b','c','d','e','f'].first(3)
- => ["a", "b", "c"]
Array#last
Returns: The last item in the array.
Note: When called with an integer argument, #last(int) returns the last integer items.
- #last
- ['a','b','c','d','e','f'].last
- => "f"
- #last(integer)
- ['a','b','c','d','e','f'].last(2)
- => ["e", "f"]
Array#find
Returns: The first item for which the block evaluates to true
.
Note: #detect is a synonym for #find.
- ary = [1,2,3,4,5,6,7,8,9,10,11,12]
- ary.find { |item| item%2 == 0 && item%3 == 0 }
- => 6
Array#select
Returns: A new array containing every item for which the block evaluates to true
.
Note: #find_all is a synonym for #select.
- ary = [1,2,3,4,5,6,7,8,9,10,11,12]
- ary.find { |item| item%2 == 0 && item%3 == 0 }
- => [6, 12]
Array#reject
Returns: A new array containing every item for which the block evaluates to false
.
- ary = [1,2,3,4,5,6,7,8,9,10,11,12]
- ary.find { |item| item % 5 == 0 }
- => [1, 2, 3, 4, 6, 7, 8, 9, 11, 12]
Array#sample
Returns: A randomly-chosen item from the array.
Note: When called with an integer argument, #sample(int) returns an array of int randomly-chosen items, without repeating items (unless items appear more than once in the array).
- #sample
- [1,2,3,4,5,6,7,8,9,10].sample
- => 3
- #sample(integer)
- [1,2,3,4,5,6,7,8,9,10].sample(4)
- => [5, 9, 6, 2]
Array#uniq
Returns: A new array with any duplicate values deleted.
- ["a","b","a","c","a","b"].uniq
- => ["a", "b", "c"]
Enumerable#max
Returns: The largest item in the array.
Note: When called with an integer argument, #max(int) returns an array of the int largest items.
- #max
- [4, 7, 2, 10, 1, 5, 9, 6].max
- => 10
- #max(integer)
- [4, 7, 2, 10, 1, 5, 9, 6].max(3)
- => [10, 9, 7]
Enumerable#max_by { |item| block }
Returns: The largest item in the array, based on the value returned for each item by the block.
Note: When called with an integer argument, #max_by(int) returns an array of the int largest items.
- #max_by { |item| block }
- ary = ["apple", "banana", "canteloupe", "date"]
- ary.max_by { |word| word.length }
- => "canteloupe"
- #max_by(integer) { |item| block }
- ary.max_by(2) { |word| word.length }
- => ["canteloupe", "banana"]
Enumerable#min
Returns: The smallest item in the array.
Note: When called with an integer argument, #min(int) returns an array of the int smallest items.
- #min
- [4, 7, 2, 10, 1, 5, 9, 6].min
- => 1
- #min(integer)
- [4, 7, 2, 10, 1, 5, 9, 6].min(3)
- => [1, 2, 4]
Enumerable#min_by { |item| block }
Returns: The smallest item in the array, based on the value returned for each item by the block.
Note: When called with an integer argument, #min_by(int) returns an array of the int smallest items.
- #min_by { |item| block }
- ary = ["apple", "banana", "canteloupe", "date"]
- ary.min_by { |word| word.length }
- => "date"
- #min_by(integer) { |item| block }
- ary.min_by(2) { |word| word.length }
- => ["date", "apple"]
Enumerable#minmax
Returns: A new array containing the smallest and largest items in the array.
- [4, 7, 2, 10, 1, 5, 9, 6].minmax
- => [1, 10]
Enumerable#minmax_by { |item| block }
Returns: A new array containing the smallest and largest item in the array, based on the value returned for each item by the block.
- ary = ["apple", "banana", "canteloupe", "date"]
- ary.minmax_by { |word| word.length }
- => ["date", "canteloupe"]
Enum#reduce(mem) { |mem, item| block }
Action: Reduces the array to a single value by executing block on each item of the array. The mem variable stores the cumulative value. If the initial value of mem is not set in the argument, it will be set to the first item in the array.
Returns: The final value for mem.
- # With no initial value for mem:
- [1,2,3,4,5].reduce { |m, i| m + i }
- => 15
- # With initial value for mem:
- [1,2,3,4,5].reduce(10) { |m, i| m + i }
- => 25
Note: When called with a symbol argument, #reduce(symbol) passes each item in array into symbol's method, which is called on the mem value. An initial value for mem can also be included in the argument, as in #reduce(mem, symbol).
- # With no initial value for mem:
- [1,2,3,4,5].reduce(:+)
- => 15
- # With initial value for mem:
- [1,2,3,4,5].reduce(20, :+)
- => 35
Example: In this snippet, #reduce is used with the ternary operator to find the largest number in the set (which duplicates the functionality of #max).
- array = [4, 7, 2, 10, 0, 5, 9, 6]
- array.reduce { |m, i| m > i ? m : i }
- => 10
Array#join
Returns: A string formed by converting all items in the array into a single string.
Note: If a string argument is added, #join(string) will insert that string between items as a separator.
- #join
- ['a', 'b', 'c', 'd', 'e'].join
- => "abcdef"
- #join(string)
- ['a', 'b', 'c', 'd', 'e'].join(" - ")
- => "a - b - c - d - e"
Enumerable#partition { |item| block }
Returns: An array of two arrays, in which the first array includes all items in the original array that evaluate to true
for block, and the second array includes all items that evaluate to false
.
- ary = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
- ary.partition { |num| num.even? }
- => [[2, 4, 6, 8, 10], [1, 3, 5, 7, 9]]
Object#clone
Returns: A new array with a new object id, with values equal to those in original array.
Note: #clone is a useful first step when writing an original, non-destructive method that must incorporate a naturally-descructive method.
- [1,2,3,4,5,6].clone
- => [1,2,3,4,5,6]
Manipulation Methods
These methods add and delete items from an existing array.
Array#slice!(index)
Action: Deletes the item at Returns: Item at index. Note: Called with two integer arguments, #slice!(index, quantity) deletes quantity items beginning at index, and returns an array containing the deleted items. Called with a range argument, #slice!(range) deletes items at the indices specified by the range, and returns them. Action: Appends object(s) to the end of the array. Returns: The amended array. Action: Deletes last item from end of array. Returns: The deleted item. Note: Called with an integer argument, #pop(integer) deletes the last integer items from the original array, and returns them as a new array. Action: Inserts object(s) at the start of the array. Returns: The amended array. Action: Deletes item from the start of the array. Returns: The deleted item. Note: Called with an integer argument, #shift(integer) deletes the last integer items from the original array, and returns them as a new array. Action: Inserts object(s) at the specified index of the array. Returns: The amended array.
Array#push(obj, …)
Array#pop
Array#unshift(obj,…)
Array#shift
Array#insert(index, obj, …)
Array#delete(object)
Action: Deletes all occurences of the object from the array.
Returns: The last object deleted, or nil
if no objects were deleted.
Note: Called with a code block, #delete(object) { block } executes block if object is not found within array.
- #delete(obj)
- ary = ['a','b','a','c','a','b']
- ary.delete('b')
- => "b"
- ary
- => ["a", "a", "c", "a"]
- #delete(obj) { block }
- ary = ['a','b','a','c','a','b']
- ary.delete('z') { 'not found' }
- => "not found"
- ary
- => ["a", "b", "a", "c", "a", "b"]
Array#select! { |item| block }
Action: Deletes from the array every item for which block evaluates to false
.
Returns: The amended array, or nil
if all items evaluated to true
for the block.
Note: #keep_if is a synonym for #select!.
- ary = [1,2,3,4,5,6,7,8,9,10,11,12]
- ary.select! { |i| i % 3 == 0 }
- => [3, 6, 9, 12]
- ary
- => [3, 6, 9, 12]
Array#reject! { |item| block }
Action: Deletes from the array every item for which block evaluates to true
.
Returns: The amended array, or nil
if all items evaluated to false
for the block.
Note: #delete_if is a synonym for #reject!.
- ary = [1,2,3,4,5,6,7,8,9,10,11,12]
- ary.reject! { |i| i % 3 == 0 }
- => [1, 2, 4, 5, 7, 8, 10, 11]
- ary
- => [1, 2, 4, 5, 7, 8, 10, 11]
Array#concat(other_array)
Action: Appends all items in other_array to the end of the original array.
Returns: The amended array.
- ary = ['a','b','c']
- ary.concat(['x','y','z'])
- => ["a", "b", "c", "x", "y", "z"]
- ary
- => ["a", "b", "c", "x", "y", "z"]
Array#replace(other_array)
Action: Replaces all items in array with the contents of other_array.
Returns: The amended array.
- ary = ['a','b','c']
- ary.replace(['x','y','z'])
- => ["x", "y", "z"]
- ary
- => ["x", "y", "z"]
Array#uniq!
Action: Deletes duplicate items from the array.
Returns: The amended array, or nil
if the array included no duplicate items.
- ary = ['a','b','a','c','a','b']
- ary.uniq!
- => ["a", "b", "c"]
- ary
- => ["a", "b", "c"]
Array#compact!
Action: Deletes nil
items from the array.
Returns: The amended array.
- ary = ['a','b',nil,'c',nil,'b']
- ary.uniq!
- => ["a", "b", "c", "b"]
- ary
- => ["a", "b", "c", "b"]
Array#clear
Action: Deletes all items from the array.
Returns: The newly-empty array.
- ary = ['apple', 'banana', 'canteloupe']
- ary.clear
- => []
- ary
- => []
Reordering Methods
These methods reorder or rearrange the original array. Most of these methods have destructive versions, indicated with a !, so read the notes carefully.
Array#sort
Action: Sorts the array in alphanumeric order.
Returns: A new, sorted array.
Note: #sort is not destructive. #sort! is the destructive version; #sort! sorts the original array in place and returns it.
- ['c','e','b','d','f','a'].sort
- => ["a", "b", "c", "d", "e", "f"]
Array#shuffle
Action: Shuffles the array in random order.
Returns: A new, shuffled array.
Note: #shuffle is not destructive. #shuffle! is the destructive version; #shuffle! shuffles the original array in place and returns it.
- ['a','b','c','d','e','f'].shuffle
- => ["c", "d", "a", "e", "f", "b"]
Array#reverse
Action: Reverses the order of the items in the array.
Returns: A new, reversed array.
Note: #reverse is not destructive. #reverse! is the destructive version; #reverse! reverses the original array in place and returns it.
- ['a','b','c','d','e','f'].reverse
- => ["f", "e", "d", "c", "b", "a"]
Array#rotate(index)
Action: Rotates the items in the array so that the item at index moves to index 0.
Returns: A new, rotated array.
Note: #rotate is not destructive. #rotate! is the destructive version; #rotate! rotates the original array in place and returns it.
- ['a','b','c','d','e','f'].rotate(4)
- => ["e", "f", "a", "b", "c", "d"]
Array#flatten
Action: Called upon nested arrays, returns a new array with all nested arrays flattened to a single array.
Returns: A new, flattened array.
Note: Called with an integer argument, #flatten(int) will flatten the nested arrays by int levels.
Note: #flatten is not destructive. #flatten! is the destructive version; #flatten! flattens the original array in place and returns it.
- #flatten
- ary = [1,2, [3,4, [5,6, [7,8,9,10], 11], 12], 13]
- ary.flatten
- => [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
- #flatten(integer)
- ary = [1,2, [3,4, [5,6, [7,8,9,10], 11], 12], 13]
- ary.flatten(2)
- => [1, 2, 3, 4, 5, 6, [7, 8, 9, 10], 11, 12, 13]
Array#transpose
Action: Called upon a two-dimensional array (rows and columns), returns a new array with the rows and columns switched.
Returns: A new, transposed two-dimensional array.
Note: #transpose is not destructive. There is no #transpose! version.
- [[1, 2], [3, 4], [5, 6]].transpose
- => [[1, 3, 5], [2, 4, 6]]


KKR targets record $15 billion for new Asia-focused buyout fund: Report
A fund of that size would break the New York-based private equity firm's own 2017 record of a $9.3 billion fund and comes as buyout groups are increasingly focusing on Asian investments
by ReutersGlobal private equity group KKR & Co Inc is targeting a record $15 billion (£11.7 billion) for its new Asia-focused buyout fund, three sources with knowledge of the fundraising plan told Reuters.
A fund of that size would break the New York-based private equity firm's own 2017 record of a $9.3 billion fund and comes as buyout groups are increasingly focusing on Asian investments.
The fundraising will start in the first quarter of 2020, with the aim of achieving first close, an important milestone indicating the fund has crossed a minimum threshold and can begin making investments, by June, the people said on Thursday.
The fundraising target and timeline for KKR's planned Asia-focused fund have not previously been reported.
KKR could not immediately be reached for comment. The people declined to be named as the fundraising plan is not public yet.


HEAVY A film review by Vince Deehan Copyright 1996 Vince Deehan
Written and Directed by James Mangold. Cast: Pruitt Taylor Vince, Shelley Winters, Liv Tyler, Deborah Harry, Joe Grifasi and Evan Dando. Release Date: December 29th 1995 (UK)
HEAVY is the story of Victor ( Pruitt Taylor Vince ), a painfully shy and overweight chef and how his obsession with a beautiful young waitress, Callie ( Liv Tyler ), invades his life and ultimately changes it forever. The film is set in a quiet town in upstate New York, where Victor works at his mother's restaurant. Victor's mother, Dolly ( Shelley Winters ), hires Callie ostensibly to help out her other waitress Delores ( Deborah Harry ) but with the hidden intention of matchmaking her with her retiring son.
In the early hours of the morning, as Victor sits alone in a corner of the then deserted restaurant playing cards, Callie sidles up to him and starts to casually chat. Victor is clearly stuck for words yet he manages to communicate with her and they proceed to play a card game together. This is the start of Victor and Callie's touching friendship. Victor is clearly enamoured by Callie, but just as soon as such ideas start in his head, he is immediately disappointed when their card game is interrupted by the arrival of Callie's guitar-playing mechanic boyfriend ( Evan Dando ), who turns up to take her home. This will not be the last disappointment for Victor during the course of the film, and a far more tragic one is in store.
James Mangold's film shows the frustrations of people who, for various reasons, wish their lives were less routine and more exciting. Delores, the older waitress, clearly stuck in a rut ( as are virtually all the characters ), is in a dead-end job and unmarried in her forties. She has no shortage of men she can "take home", but no one special to stay with her and share her life. She resents Callie from the word go, and it's not hard to see why. Callie is young and beautiful and has her whole life in front of her, while Delores' own future is anything but rosy. Leo ( Joe Grifasi ) the resident barfly, spends every evening propping up the counter in the restaurant, drinking himself into a stupor, and clearly sees no future for himself either. He gets so drunk one night that Victor and Dolly take him home, where he sleeps the drink off on a camp-bed in Victor's room.
The whole film revolves around Victor and shows in great detail the life of a man who, crippled by a lack of self-confidence, is trapped in a monotonous life and cut off from the world around him. It is only the arrival of Callie and the genuine affection and warmth she shows to Victor that finally makes him realise that there is a world outside that he can be part of.
If this all sounds terribly depressing and dull, then you'd be surprised at how entertaining the film actually is. The main character Victor is not the sort of character you normally see leading a movie. Victor is a silent, giant of a man and not prone to snappy conversation. In fact, Victor speaks hardly at all in the film, and rarely more than half sentences at any one time. Yet Pruitt Taylor Vince's performance as Victor is so mesmerising that to take your eyes off him for one second would be to miss a subtle facial expression that illuminates Victor's soul and lets you see exactly what Victor is thinking and feeling.
Pruitt Taylor Vince gives a performance that would surely merit an Oscar nomination were the film to be released in the US, and I sincerely hope that this will happen. Liv Tyler also gives a very impressive performance as the young Callie, a difficult role which shows that she has alot of talent and Shelley Winters is a delight as Victor's mother.
The writer and director James Mangold has created a wonderful film which distinguishes him as a great, and promising talent . As a mark of his achievement, HEAVY was awarded the Special Jury Prize for Direction at the 1995 Sundance Film Festival.
Review written on Feb 17 1996 by Vince Deehan<EMAIL_ADDRESS>)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Lambda features
Lambda provides a management console and API for managing and invoking functions. It provides runtimes that support a standard set of features so that you can easily switch between languages and frameworks, depending on your needs. In addition to functions, you can also create versions, aliases, layers, and custom runtimes.
Features
Programming model
Authoring specifics vary between runtimes, but all runtimes share a common programming model that defines the interface between your code and the runtime code. You tell the runtime which method to run by defining a handler in the function configuration, and the runtime runs that method. The runtime passes in objects to the handler that contain the invocation event and the context, such as the function name and request ID.
When the handler finishes processing the first event, the runtime sends it another. The function's class stays in memory, so clients and variables that are declared outside of the handler method in initialization code can be reused. To save processing time on subsequent events, create reusable resources like AWS SDK clients during initialization. Once initialized, each instance of your function can process thousands of requests.
When AWS X-Ray tracing is enabled, the runtime records separate subsegments for initialization and execution.
Your function also has access to local storage in the /tmp
directory. Instances of your
function that are serving requests remain active for a few hours before being recycled.
The runtime captures logging output from your function and sends it to Amazon CloudWatch Logs. In addition to logging your function's output, the runtime also logs entries when function invocation starts and ends. This includes a report log with the request ID, billed duration, initialization duration, and other details. If your function throws an error, the runtime returns that error to the invoker.
Logging is subject to CloudWatch Logs quotas. Log data can be lost due to throttling or, in some cases, when an instance of your function is stopped.
For a hands-on introduction to the programming model in your preferred programming language, see the following chapters.
Lambda scales your function by running additional instances of it as demand increases, and by stopping instances as demand decreases. Unless noted otherwise, incoming requests might be processed out of order or concurrently. Store your application's state in other services, and don't rely on instances of your function being long lived. Use local storage and class-level objects to increase performance, but keep to a minimum the size of your deployment package and the amount of data that you transfer onto the execution environment.
Scaling
Lambda manages the infrastructure that runs your code, and scales automatically in response to incoming requests. When your function is invoked more quickly than a single instance of your function can process events, Lambda scales up by running additional instances. When traffic subsides, inactive instances are frozen or stopped. You only pay for the time that your function is initializing or processing events.
For more information, see AWS Lambda function scaling.
Concurrency controls
Use concurrency settings to ensure that your production applications are highly available and highly responsive. To prevent a function from using too much concurrency, and to reserve a portion of your account's available concurrency for a function, use reserved concurrency. Reserved concurrency splits the pool of available concurrency into subsets. A function with reserved concurrency only uses concurrency from its dedicated pool.
To enable functions to scale without fluctuations in latency, use provisioned concurrency. For functions that take a long time to initialize, or that require extremely low latency for all invocations, provisioned concurrency enables you to pre-initialize instances of your function and keep them running at all times. Lambda integrates with Application Auto Scaling to support autoscaling for provisioned concurrency based on utilization.
For more information, see Managing concurrency for a Lambda function.
Asynchronous invocation
When you invoke a function, you can choose to invoke it synchronously or asynchronously. With synchronous invocation, you wait for the function to process the event and return a response. With asynchronous invocation, Lambda queues the event for processing and returns a response immediately.
For asynchronous invocations, Lambda handles retries if the function returns an error or is throttled. To customize this behavior, you can configure error handling settings on a function, version, or alias. You can also configure Lambda to send events that failed processing to a dead-letter queue, or to send a record of any invocation to a destination.
For more information, see Asynchronous invocation.
Event source mappings
To process items from a stream or queue, you can create an event source mapping. An event source mapping is a resource in Lambda that reads items from an Amazon Simple Queue Service (Amazon SQS) queue, an Amazon Kinesis stream, or an Amazon DynamoDB stream, and sends the items to your function in batches. Each event that your function processes can contain hundreds or thousands of items.
Event source mappings maintain a local queue of unprocessed items and handle retries if the function returns an error or is throttled. You can configure an event source mapping to customize batching behavior and error handling, or to send a record of items that fail processing to a destination.
For more information, see AWS Lambda event source mappings.
Destinations
A destination is an AWS resource that receives invocation records for a function. For asynchronous invocation, you can configure Lambda to send invocation records to a queue, topic, function, or event bus. You can configure separate destinations for successful invocations and events that failed processing. The invocation record contains details about the event, the function's response, and the reason that the record was sent.
For event source mappings that read from streams, you can configure Lambda to send a record of batches that failed processing to a queue or topic. A failure record for an event source mapping contains metadata about the batch, and it points to the items in the stream.
For more information, see Configuring destinations for asynchronous invocation and the error handling sections of Using AWS Lambda with Amazon DynamoDB and Using AWS Lambda with Amazon Kinesis.
Function blueprints
When you create a function in the Lambda console, you can choose to start from scratch, use a blueprint, use a container image, or deploy an application from the AWS Serverless Application Repository. A blueprint provides sample code that shows how to use Lambda with an AWS service or a popular third-party application. Blueprints include sample code and function configuration presets for Node.js and Python runtimes.
Blueprints are provided for use under the Creative Commons
Zero
Testing and deployment tools
Lambda supports deploying code as is or as container images. You can use a rich tools ecosystem for authoring, building, and deploying your Lambda functions using AWS and popular community tools like the Docker command line interface (CLI).
For more information, see Tools for working with Lambda.
Application templates
You can use the Lambda console to create an application with a continuous delivery pipeline. Application templates in the Lambda console include code for one or more functions, an application template that defines functions and supporting AWS resources, and an infrastructure template that defines an AWS CodePipeline pipeline. The pipeline has build and deploy stages that run every time you push changes to the included Git repository.
Application templates are provided for use under the MIT No
Attribution
For more information, see Creating an application with continuous delivery in the Lambda console.


--- layout: page title: About header-img: "img/about-bg.png" ---
Just a girl living in the Sunset neighborhood of San Francisco learning about the world around her.


Configuring Test List Cycles¶
A test list cycle allows you to group multiple test lists into a single repeating cycle that can be assigned to a unit.
For example, at our clinic, on a number of units, the therapists daily QA is on a repeating 2 or 4 day cycle where the actual tests they perform vary slightly by day. A test list cycle allows us to handle this situation without the therapists having to keep track of which day was done last.
For a 4 day cycle, you would create 4 separate test lists (e.g. Morning Outputs Day 1, Morning Outputs Day 2, Morning Outputs Day 3, Morning Outputs Day 4) and then create a Test List Cycle made up of those 4 Test Lists. You would then assign that Test List Cycle to the unit with a daily frequency, rather than assigning each of the 4 test lists individually.
When a user performs a Test List Cycle, it checks which test list in the cycle was performed last and automatically presents them with the tests in the next days test list. So if Day 2 was performed yesterday, they will be presented with the Day 3 tests today. You can also manually override which day you want to perform.
Defining a test list cycle is described below.
Creating a new Test List Cycle¶
From the main admin page select the Test list cycles page and click the Add test list cycle button in the top right corner of the page. The fields for defining a test list cycle are described below.
Name¶
A descriptive name that will be displayed in listings of test-lists.
Slug¶
A slug is a URL friendly short label for a test list. It should consist of only letters, numbers, underscores and hyphens.
Drop Down Label¶
Set the text of the label of the drop down input used for choosing a one of the test list members of this cycle. The default is “Choose Day”.
Day Option Text¶
Choose whether to use the test list day number (i.e. Day 1, Day 2, ...) or the test list name for display in the dropdown used for chossing one of the test list members.
Test list cycle memberships¶
To add a test list to your cycle click the magnifying glass beside the first text box uder the Test list cycle memberships section. (Note prior to version 0.2.6 you first need to click the Add another Test List Cycle Membership link to create a new row in the Test list cycle memberships list.)
This will bring up a dialogue box where you can search or navigate to the test list that you want to add to your cycle.
Clicking on the name of the test list you want to add will close the dialogue and add the test list to your cycle. Repeat these steps until you have added all the required test lists to your cycle.
Once you have added all your test lists, click the Save and continue editing button and confirm all your test lists are present and in the correct order.
If you need to reorder the test lists you can do so by dragging and dropping the test list rows into a different order and then saving the changes.
Removing a list from a test list cycle¶
To remove a test list from a cycle, click the checkbox under the Delete column of the Test list cycle memberships listing and then save the cycle.


1)
Mom served lemonade in plastic glasses.
2)
Sam saw people fishing at the lake.
3)
The genie asked Aladin to make three wishes.
4)
Dolly and her friends played hopscotch on the sidewalk.
5)
The cows were resting in the shed.
6)
We saw many spotted deer on the slope of the mountain.
7)
The salad had marble-sized cherry tomatoes.
8)
The house at the end of the street seems haunted.


Collection
Catalog
About Us
Blog
Search
Account
Cart
1972
Nike Waffle Racing Flats
Limited Edition
$437,500
LEARN MORE
ADD TO CART


You are the parents that all kids hope to have, you are the couple that all lovers hope to be and you both are the pillars of support that every family wishes it had. Happy anniversary to the best parents ever.
Save the Date : 24th NovemberYou are precious and rare
You overcame many hurdles together!

Mom & Dad Forever!
To conclude, my mother protected me from the world and my father threatened me with it. Thank you for all your love and scoldings.
Happy Marriage Anniversary once again.


Query
Create
Blood Data Query Demo
Query
Property
Value
BloodID
Creator's Address
Creation Date
Blood Type
Amount
Age Range


Puttering again on my ruby + twitter script. Yes, I know, 2009 would like it's idea back. Thanks.
3/21/2011, 9:47:35 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Puttering again on my ruby + twitter script. Yes, I know, 2009 would like it's idea back. Thanks.
3/21/2011, 9:47:35 PM
Favs: 0
Retweets: 0
link


menu
Meal Planner
Meal Planner
Meals
Drinks
Plans
BAC
Let's be safe!
Know Your BAC
Select Gender
Male
Female
Enter Weight
Enter Number of Drinks
Enter Time Period in Hours
Calculate


name: Title class: center, middle count: false # Title --- name: Agenda class: middle # Agenda 1. Introduction 2. Deep-dive 3. ... --- name: Intro # Introduction This slide talks about certain important topics. .right[This is important as well.] .right[![Puppy with ball](https://images-na.ssl-images-amazon.com/images/G/01/img15/pet-products/small-tiles/23695_pets_vertical_store_dogs_small_tile_8._CB312176604_.jpg)] --- name: bg [//]: # (this is a comment) background-image: url(https://i2.wp.com/www.danieljenkinsacademy.com/wp-content/uploads/2017/11/fantastic-abstract-background-hd.jpg) # Page with background .center[how is this text looking] -- - point 1 ??? this is my secret note.. -- - point 2 ??? this is my secret note for point 2.. -- - point 3 --- name: Unused exclude: true # Unused content This slide contains unused content & not being used anywhere.. --- name: Code Here is the R code ```r a <- 10 b <- a + 20 *c <- paste('The total is', b) print(c) ``` Here is the equivalent Java code.. ```java public class c { public static void main(String[] args) { int a = 10; int b = a + 20; * String c = "The total is " + b; System.out.println(c); } } ``` --- name: Video count: false # Embedded video


shareIt.js is a jQuery plugin that offers a quick and easy way to genreate share URL's for facebook, Twitter, and Pinterest. It uses minimal HTML markup as all that is required is an link tag.
The markup is a simple a creating link tags.
... Link text/image ... ... Link text/image ... ... Link text/image ...
The markup is a simple a creating link tags.
$('#si_facebook').shareIt( share : "facebook", // needs to be set to facebook, twitter, or pinterest img : "", // absolute image path title: "", // title of shared item description: "", // description of shared item link: "" // link to shared item );
Share this Plug-in


Crypto Tests
Testing ...
MingKeMing Tests
Testing ...
DaoKeDao Tests
Testing ...
Core Tests
Testing ...
Makefile


cow chip throwing contests:
In Nebraska they got many cows. And they like to do unique stuff. Picking up dry cow patties and throw them to see who throwed the farest.


Startup
static void Main
Asp.Net Core is a true console application, with a public static void Main(string[] args)
In .net core 3.1 it looks like this. In asp use WebHost (in .net6 you can use WebApplication, which removes the need for Startup.cs)
public class Program
{
public static void Main(string[] args)
{
CreateHostBuilder(args).Build().Run();
}
public static IHostBuilder CreateHostBuilder(string[] args) =>
Host.CreateDefaultBuilder(args)
.ConfigureWebHostDefaults(webBuilder =>
{
webBuilder.UseStartup<Startup>();>
});
}
For Dependency Injection with, say, Autofac, add Autofac.Extensions.DependencyInjection:
Host.CreateDefaultBuilder(args)
.UseServiceProviderFactory(new AutofacServiceProviderFactory()) //etc
See configuration for Serilog logging and NLog logging
In .net 6, old projects aren't upgraded, but new ones have the "class-less" program.cs format and a more imperative style.
var builder = WebApplication.CreateBuilder(args);
builder.Services.AddControllersWithViews();
var app = builder.Build();
//trimmed app.Use stuff
app.UseRouting();
app.UseAuthorization();
app.MapControllerRoute(
name:"default"
pattern: "{controller=Home}/{action=Index}/{id?}");
app.Run();
- WebApplication.CreateBuilder is the new WebHost.CreateDefaultBuilder
- UseStartup<Startup>();> will error. Startup doesn't exist anymore. But you can extract out the configuration, see below.
.Net Core 1
In RC1 it was in Startup.cs; from RC2 it is in Program.cs
public static void Main(string[] args)
{
var host = new WebHostBuilder(args)
.UseKestrel()
.UseContentRoot(Directory.GetCurrentDirectory())
.UseIISIntegration()
.UseStartup<Startup>()
.Build();
host.Run();
}
For Windows/IIS, you don't need to change this.
Startup.cs
In classic Asp.net, you configured things in Global.asax. In Core 1-5, you use Startup.cs. In .net 6 it's gone again.
There is no base class or interface. The name and standard methods are conventions. You can have multiple "Startup" classes, but only one is used... either the project namespace, or it uses namespace alphabetical order(!).
Net6 - if you use WebApplication.CreateBuilder(args), you can't use Startup in the same way. But you can new it up and use it explicitly.
//using the new WebApplication instead of WebHost
var builder = WebApplication.CreateBuilder(args);
//just new up startup with the configuration
var startup = new Startup(builder.Configuration);
//then add the services (AddControllersWithViews)
startup.ConfigureServices(builder.Services);
//as before
var app = builder.Build();
//then do the configuration
startup.Configure(app, app.Environment);
//as before
app.Run();
Structure
The minimum:
public class Startup
{
//REQUIRED: configure the HTTP request pipeline.
public void Configure(IApplicationBuilder app)
{
app.Run(async (context) =>
{
await context.Response.WriteAsync("Hello :)");
});
}
}
| Method | Notes | Arguments |
| Startup.Configure(IApplicationBuilder app, ...) | Required. Normally app.UseMvc() | IApplicationBuilder (required), IWebHostEnvironment |
| Startup.ConfigureServices | (optional) build dependency injection | IServiceCollection (required, only input) |
| Constructor | Initial configuration, initialize "application" variables such as configuration | IConfiguration, IWebHostEnvironment |
IApplicationBuilder must only be used for Configure, and IServiceCollection must only be used for ConfigureServices
- IWebHostEnvironment or IHostEnvironment (in .net core 1/2 this was IHostingEnvironment) - EnvironmentName, WebRootPath, ContentRootPath
- In .net core 1/2 you could inject a ILoggerFactory but that's not possible in .net core 3 (initialize the logger in Program.cs)
- A less commonly used Startup method is ConfigureContainer(ContainerBuilder), which is called after ConfigureServices.
- The startup loader checks and calls environment-named variations of the methods, eg ConfigureProductionServices() if your environment is production. This is so weird, avoid.
using Microsoft.AspNetCore.Hosting;
using Microsoft.Extensions.Configuration;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
namespace CoreWeb
{
public class Startup
{
public Startup(IConfiguration configuration) {
Configuration = configuration;
}
public IConfiguration Configuration { get; }
// This method gets called by the runtime. Use this method to add services to the container.
public void ConfigureServices(IServiceCollection services)
{
services.AddMvc();
services.AddControllers();
}
// This method gets called by the runtime. Use this method to configure the HTTP request pipeline.
public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
if (env.IsDevelopment())
{
app.UseDeveloperExceptionPage();
}
app.UseHttpsRedirection();
app.UseRouting();
app.UseAuthorization();
app.UseEndpoints(endpoints =>
{
endpoints.MapControllers();
});
}
}
}
- app.UseMvc() is obsolete (.net IRouting). For .net 3+, app.UseEndpoints(e => { e.MapControllers();});
- Order is important- app.UseRouting(); then .UseAuthorization() then .UseEndpoints()
- .Net 6 minimal Apis hides UseRouting and UseEndpoints, calling them implicitly in the correct order
| Type | ConfigureServices(IServiceCollection services) | Configure(IApplicationBuilder app, ... |
|---|---|---|
| API | services.AddControllers(); Includes CORS/Authorization etc |
app.UseEndpoints(endpoints => Hooks up controllers with attributes ([Route("[controller]")] or [HttpPost] |
| MVC | services.AddControllersWithViews(); Same as API, but with views! |
app.UseEndpoints(endpoints => You have one or more routing patterns to match controller and action names. NB: if it has attributes it is ignored. MapDefaultControllerRoute does what the more explicit template code does, and is probably all you need. |
| Razor Pages | services.AddRazorPages(); |
app.UseEndpoints(endpoints => |


Vulcan, Blacksmith of the Flame:
Fire is the lifeblood of a blacksmith. I need a hotter fire to make this high quality weapon. I'm gathering flames from Forge of the Gods, can you help me?
Quest


BLUE STREAK *** (out of five stars) A review by Jamey Hughton
Starring-Martin Lawrence, Luke Wilson, Dave Chappelle, Peter Greene and William Forsythe Director-Les Mayfield Rated PG Sony
MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews
Blue Streak, while not to be mistaken for a cinematic masterpiece, is a moderately amusing diversion. It circulates around a familiar fish-out-of-water plot, has the regular cardboard characters, and never does anything special with the formula. But energetic star Martin Lawrence is fun to watch, and although a large portion of Blue Streak is messy and poorly assembled, it's sure to be an audience favorite. You could call it Rush Hour's little brother (without Jackie Chan, of course).
The film starts on a high note. Miles Logan (Lawrence) and his burglary team are in the process of pulling off the heist of a priceless diamond. Due to certain complications, the plan goes awry, and the vicious Deacon (Peter Greene) double-crosses Logan for a bigger share of the profits. Miles is able to escape the surrounding police and enter a separate building, where he tapes the diamond to the interior of a ventilation shaft for safe keeping. It's off to jail for Logan and his associates, but after his short term is over, Miles knows he's going to be a very wealthy man.
Two years later, as we are informed, he is out of the slammer and looking for redemption.  Dressed as a nerdy pizza delivery boy with massive incisors, Logan is denied entry, and informed that the only ones permitted are those `wearing hand-cuffs or a badge'. Luckily, Logan has connections, and is able to get his hands on a fake ID that will enable him to enter the station and retrieve his stolen goods. It all sounds so very easy.....
 Then again, everyone in the police force must have a very unflattering IQ to actually believe that Lawrence is indeed a dedicated cop, despite the fact he has no past records on file.   And naturally, Logan continues to dig himself deeper into the unbelievable mess while attempting to locate his diamond.
Blue Streak never breaks formula, but it delivers the goods in a reasonable fashion. The situation develops nicely and often blends seamlessly to the audience's liking. The comedy is inconsistent, to say the least, but when director Les Mayfield (Flubber) is on target, there are some fireworks. In the supporting category, Peter Greene is completely under-used in the psychotic bad guy role, and motor-mouth David Chappelle has the effect of fingernails across a blackboard. Only Wilson and William Forsythe, as another hard-nosed cop, register alongside the star.
Which brings us to Martin Lawrence, who injects energy into the plot like bursts of Ritlin. If you hate Lawrence and everything he does, do not even consider seeing Blue Streak. It is a Martin Lawrence movie, where everyone else plays second fiddle. But if you have a special place in your heart for the comic and enjoy his goofy shtick, you are going to have a lot of fun. The star is enthusiastic and likable, and rarely shows signs of desperation even with the occasionally weak material.
There is also a healthy dose of action, well choreographed by Mayfield and the remaining technical team. In-between gags there are breathless car-chases, all of which exist for the purpose of making us forget the mediocre plot and dialogue. Do they succeed? It all depends on whether you enjoy this kind of thing.  Despite all of it's flaws and an unsatisfying wrap-up, Blue Streak never loses the ability to entertain.
(C) 1999, Jamey Hughton
* * * * * * * * * * * * * * * MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews <<<<<<<<<<<<<<<>>>>>>>>>>>>>>>
Send Your Comments to Jamey at<EMAIL_ADDRESS>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


Contribute¶
Contributions are more than welcome, please raise an issue on the github page highlighting the bug/extension/compatibilities before doing a pull request.
Building¶
You have made some wicked cool changes to the source code or the documentation that you want to share with the world, awesome!
Now there’s just a few steps before they can be incorporated into the platelib master branch
Changing the version number¶
The versioning scheme of platelib should be done in reasonable accordance with the so called Semantic versioning where X.Y.Z should be read as MAJOR.MINOR.PATCH.
The version number has to be changed in the two files setup.py
and
docs/source/conf.py
Create new source distribution¶
Go to the docs folder and run:
./full_make.sh
If no errors occurred it can be uploaded to your local branch and a pull request can be made.
Planned improvements¶
This is as much a wish-list as literally planned improvements:
Plotting
- Plotting of data from several plates in some sensible way.
Fitting
- Local fitting of traces in plate
- Global fitting of traces in plate
Statistical analysis
- Goodness-of-fit
- Variance along traces, among replicates, and between conditions
Python 3.X compatibility
PyPI availability


Leigh Griffiths fitness update as Celtic boss Neil Lennon issues challenge to striker
The Celtic boss has revealed the striker still has some hurdles to overcome before being selected.
by Chris Doyle, https://www.dailyrecord.co.uk/authors/chris-doyle/Neil Lennon has explained Leigh Griffiths ' continued absence from the Celtic squad as the striker was not involved in the 2-0 victory over Motherwell.
The Scotland forward hasn’t played for the champions since a 3-1 victory over Hearts in late August. Following his personal problems the former Hibs star has been hit with niggling injuries and a virus.
The 29-year-old was pictured at Celtic Park as he took part in a full training session before Celtic jetted out to Rome.
But he was not involved in the heroic Lazio result or the visit of the Steelmen.
And Lennon has provided an update on Griffiths' fitness and issued a challenge to his talisman to get up to speed in the next fortnight.
He told Celtic TV: “We’re hoping to give him two good weeks of work, then he has a developmental game next week – see how he comes through that.
“We want him up to speed, he’s not up to speed, not at the level that we want him at, he’s got to do the work in the next two weeks."


Glossary¶
A glossary of terms used in the module, with a description of how they are used, as well as common abbreviations.
- FOOOF
FOOOF stands for ‘fitting oscillations & one-over f’. We use FOOOF to refer to either the current module, or to FOOOF objects.
- Field Data
‘Field data’ is used as a catch-all for the relevant types of data that the power spectrum model can be applied to. This includes recordings of electrophysiological or magnetophysiological ‘fields’, meaning recording modalities such as electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), and local field potential (LFP) data.
- Power Spectrum
A power spectrum (short for power spectral density) describes the distribution of power across frequencies.
- Power Spectrum Model
A power spectrum is a model that describes neural power spectra. This module implements a particular power spectrum model, whereby we conceptualize and describe mathematically a model that considers power spectra as a combination of periodic and aperiodic components, each of which can be described by a set of model parameters.
- FOOOF Objects
This module is object-oriented, whereby the algorithm to parameterize neural power spectra is implemented in Python objects. We refer to those objects as ‘FOOOF objects’.
- Component
By ‘component’ we mean a part, or aspect, of the data. Different components of the data are considered to be separate aspects of, or entities in, the data, (though they need not be be completely independent).
- Parameters
We use the term ‘parameters’ to describe the parameters of the model, meaning the values in the model that are fit to the data. These model parameters are the results of the model fitting.
- Settings
We use ‘settings’ to refer to things that control the algorithm, or any the settings for the algorithm that can be used to adjust the fitting procedure.
- Periodic
Periodic (or ‘rhythmic’) component(s) of the data, that reflect putative oscillations.
- Peaks
Parts of the power spectrum that are identified to have power over and above the aperiodic component, and are thus modeled as ‘peaks’, reflecting putative oscillations. The set of identified peaks are the periodic component(s) of the data. The peaks are described by the peak parameters: center frequency (CF), power (PW), and bandwidth (bw).
- Aperiodic
Aperiodic (or ‘arrhythmic’) components of the data. In neural power spectra, by aperiodic activity, we typically mean the 1/f-like activity.
- One-Over F (1/f)
‘One over f’ or ‘1/f’ activity describes activity whereby the power spectrum has a \(1/f^\chi\) property. 1/f activity is a type of aperiodic activity.
- 1/f-like
Refers to cases in which the activity, or power spectrum, approximates or is similar to a 1/f distribution. In neural data, we often see data which has some aspects of 1/f, but is not formally 1/f, and so we describe this as ‘1/f-like’.
- Center Frequency (CF)
The peak frequency of identified peaks. The CF is a peak parameter, as part of the periodic component of the data.
- Power (PW)
The power, over and above the aperiodic component, of identified peaks. The PW is a peak parameter, as part of the periodic component of the data.
- Bandwidth (BW)
The bandwidth of identified peaks. The BW is a peak parameter, as part of the periodic component of the data.
- Offset (OFF)
The y-intercept of the model fit. The OFF is an aperiodic parameter, as part of the aperiodic component of the data.
- Knee (KNE)
An optional parameter of the aperiodic fit that relates to frequency locations where there is a ‘bend’ or a ‘knee’, when plotted in log-log space, in the 1/f-like aperiodic activity. The KNE is an aperiodic parameter, as part of the aperiodic component of the data.
- Exponent (EXP)
The exponent of the aperiodic fit, which is \(\chi\) in the \(1/f^\chi\) formulation. FOOOF uses and fits exponential functions for the aperiodic fit, whereby \(\chi\) is equivalent to the slope of a linear fit in log-log space (with a sign flip). The EXP is an aperiodic parameter, as part of the aperiodic component of the data.


| THE INTERNET PLASMA PHYSICS EDUCATION EXPERIENCE | |||||||||||||||||||||||||||||||||||||||||
|
Energy! what makes the world go 'round... Energy is often defined as "the ability to do work," and Energy makes the world go around, you might say. Let's use the definition that energy is "that which can change the motion, physical composition or temperature of an object." And let's define power as "the flow of energy, from one form to another, over time." Does your everyday understanding of energy fit these definitions?
Understanding the amount of energy needed for various activities and how energy is transformed from one state to another helps us produce, use and save energy more efficiently. The unit of energy with which you are probably most familiar is the calorie. First, please look at the definition of a calorie. Now look at how much energy is needed to do various things with with 1 gram of water. There are many different states of energy: nuclear energy, chemical energy, potential and kinetic energy, to name a few. Here's an experiment on stored energy you can do at home or at school (A Hands-On Activity). If you don't have time to do this yourself, here's some results. How much energy does it take to increase the temperature of more than one gram of water? Explore that question here with the boiling water experiment. [shockwave & flash required] What is the vast scale of energy?? |
||||||||||||||||||||||||||||||||||||||||
|
home - about fusion - interactive physics - ask a physicist - virtual tokamak |
|||||||||||||||||||||||||||||||||||||||||
Copyright © 2001 IPPEX ONLINE
all rights reserved.


T
- type of subscription datapublic interface Observable<T>
| Modifier and Type | Method and Description |
|---|---|
Observable<java.lang.Long> |
count()
This method counts number of elements in stream and creates another
stream with that value that is consumed by the subscriber
|
static <T> Observable<T> |
create(java.util.function.Consumer<Observer<T>> consumer)
This method allows user to create Observable by passing a consumer
function for notifying subscribers.
|
Observable<T> |
distinct()
This method removes duplicates from internal stream
|
static <T> Observable<T> |
empty()
This method creates an empty Observable, which will call onCompleted
after subscription
|
Observable<T> |
filter(java.util.function.Predicate<? super T> predicate)
This method filters items in internal stream based on given predicate
|
<R> Observable<R> |
flatMap(java.util.function.Function<? super T,? extends java.util.stream.Stream<? extends R>> mapper)
This method transforms internal streams using given mapper function and
creates a single collection from multiple collections
|
static <T> Observable<T> |
from(java.util.Collection<T> c)
This method creates Obsevable from a collection
|
static <T> Observable<T> |
from(java.util.Iterator<T> it)
This method creates Observable from an iterator
|
static <T> Observable<T> |
from(java.util.Spliterator<T> it)
This method creates Observable from a spliterator
|
static <T> Observable<T> |
from(java.util.stream.Stream<T> stream)
This method creates Observable from a given stream
|
static <T> Observable<T> |
from(T... values)
This method creates Observable from a array of objects
|
static Observable<java.lang.Integer> |
integers(int from)
Creates infinite natural numbers starting from given number
|
static <T> Observable<T> |
just(T obj)
This method creates an Observable with a single object.
|
Observable<T> |
limit(long maxSize)
This method limits number of elments in internal stream that would be
pushed to the subscriber
|
<R> Observable<R> |
map(java.util.function.Function<? super T,? extends R> mapper)
This method transforms internal streams using given mapper function
|
Observable<T> |
merge(Observable<? extends T> other)
This method merges internal stream with stream of another Observable
|
static <T> Observable<T> |
never()
This method ignores subscription and doesn't call any method
|
Observable<T> |
parallel()
Converts internal stream into parallel stream (underlying stream must
support parallel processing)
|
static Observable<java.lang.Integer> |
range(int from,
int to)
Creates range of numbers starting at from until it reaches to exclusively
|
Observable<T> |
skip(long n)
This method skips first n elements from internal stream
|
Observable<T> |
sorted()
This method sorts internal straem
|
Observable<T> |
sorted(java.util.Comparator<? super T> comparator)
This method sorts internal stream using given comparator
|
Subscription |
subscribe(java.util.function.Consumer<T> onNext,
java.util.function.Consumer<java.lang.Throwable> onError)
This method subscribes given consumer and starts pushing the data.
|
Subscription |
subscribe(java.util.function.Consumer<T> onNext,
java.util.function.Consumer<java.lang.Throwable> onError,
OnCompletion onCompletion)
This method subscribes given consumer and starts pushing the data.
|
Observable<T> |
subscribeOn(Scheduler scheduler)
This method changes scheduler for this Observable
|
static <T> Observable<T> |
throwing(java.lang.Throwable error)
This method creates an Observable that would call onError upon
subscription
|
java.util.List<T> |
toList()
This returns internal stream as a list
|
java.util.Set<T> |
toSet()
This returns internal stream as a set
|
<U> Observable<Tuple> |
zip(Observable<? extends U> other)
This method zips current stream with another streams and creates new
Observable of type Tuple
|
static <T> Observable<T> create(java.util.function.Consumer<Observer<T>> consumer)
consumer
- function that implements Consumer function@SafeVarargs static <T> Observable<T> from(T... values)
values
- - array of valuesstatic <T> Observable<T> from(java.util.stream.Stream<T> stream)
stream
- - source inputstatic <T> Observable<T> from(java.util.Iterator<T> it)
it
- - source iteratorstatic <T> Observable<T> from(java.util.Spliterator<T> it)
it
- - source spliteratorstatic <T> Observable<T> from(java.util.Collection<T> c)
c
- - source collectionstatic <T> Observable<T> empty()
static <T> Observable<T> just(T obj)
obj
- - source objectstatic <T> Observable<T> throwing(java.lang.Throwable error)
error
- - source errorstatic Observable<java.lang.Integer> range(int from, int to)
from
- - starting range of numberto
- - ending range of number exclusivelystatic Observable<java.lang.Integer> integers(int from)
from
- - starting numberstatic <T> Observable<T> never()
Observable<java.lang.Long> count()
Observable<T> distinct()
Observable<T> filter(java.util.function.Predicate<? super T> predicate)
predicate
- - predicate function<R> Observable<R> map(java.util.function.Function<? super T,? extends R> mapper)
mapper
- - mapper function<R> Observable<R> flatMap(java.util.function.Function<? super T,? extends java.util.stream.Stream<? extends R>> mapper)
mapper
- - mapper functionObservable<T> limit(long maxSize)
maxSize
- - max sizeObservable<T> skip(long n)
n
- - number of elements to skipObservable<T> sorted()
Observable<T> sorted(java.util.Comparator<? super T> comparator)
comparator
- for sortingObservable<T> subscribeOn(Scheduler scheduler)
scheduler
- - to setObservable<T> merge(Observable<? extends T> other)
other
- - other Observable<U> Observable<Tuple> zip(Observable<? extends U> other)
other
- other streamObservable<T> parallel()
Subscription subscribe(java.util.function.Consumer<T> onNext, java.util.function.Consumer<java.lang.Throwable> onError, OnCompletion onCompletion)
onNext
- - consumer function that is called to consume the dataonError
- - consumer function that is called for notifying an erroronCompletion
- - function that is invoked when all data is pushed
successfully. This will not be called when an error occurs or
when user unsubscribes using dispose method of subscription.Subscription subscribe(java.util.function.Consumer<T> onNext, java.util.function.Consumer<java.lang.Throwable> onError)
onNext
- - consumer function that is called to consume the dataonError
- - consumer function that is called for notifying an errorjava.util.List<T> toList()
java.util.Set<T> toSet()


F-Society Pizzazz
Welcome to Food Society...Food nope!, Welcome to Free Society...Free nah!  Welcome to ALL of the above, I mean, WELCOME TO F-SOCIETY PIZZAZZ! The Garden of Eden...,Eden Nope! We don't have gardens here!, the GARDEN OF PIZZA! Now that's more like it!
F-Society is company, we make Pizza for wholesales, Retails and Consumers. Welcome to a small tour of our products.
Cheese pizza is a flat, open-faced baked pie of Italian origin, consisting of a thin layer of bread dough topped with spiced tomato sauce and cheese, often garnished with anchovies, sausage slices and mushrooms.
Veggie pizza is a great choice if you believe more is more. It has (almost) everything: roasted red peppers, baby spinach, onions, mushrooms, tomatoes, and black olives. It's also topped with three kinds of cheese — feta, provolone, and mozzarella — and sprinkled with garlic herb seasoning.
Pepperoni pizza is an American pizza variety which includes one of the country's most beloved toppings. Pepperoni is actually a corrupted form of peperoni (one “p”), which denotes a large pepper in Italian, but nowadays it denotes a spicy salami, usually made with a mixture of beef, pork, and spices.
Homemade thin crust pizza, topped off with two types of cheese, bacon, ham, pepperoni and hot sausage! A must make for meat lover's. Meat Lover's Pizza has a crispy crust topped with ground beef, sausage, bacon, pepperoni, and ham.
Buffalo-style pizza features a slim, sometimes non-existent crust coast-line with ingredients out to, and often over the edges, a thick, airy undercarriage with little structural integrity that's topped by a sweet sauce and enough cheese to guarantee a stringy pull.
Canadian-invented pizza has been deemed the most popular pizza in the U.S. for 2020, according to an annual report from food delivery app GrubHub. GrubHub's "Taste of 2020" report has crowned Hawaiian pizza as "America's Favorite Pizza" after finding the pie was 689 per cent more popular than last year.


Isometric Grids
Decorative & interactive isometric & 3D grids.
Isometric projection is a method for visually representing three-dimensional objects in two dimensions in technical and engineering drawings. — Wikipedia
Take control of your website with features you won't find anywhere else. Find out why PageCloud is the world's most advanced website creator today!
Celebration of Shapes
Even whilst the arched or doubled hypocotyl is still beneath the ground, it circumnutates as much as the pressure of the surrounding soil will permit.
Axonometric projection is a type of parallel projection used for creating a pictorial drawing of an object, where the object is rotated along one or more of its axes relative to the plane of projection. — Wikipedia
Symmetric Wisdom
It is to this violence of the rain that we must attribute the verdure at the bottom of the thickest woods.
Isometric projection is a method for visually representing three-dimensional objects in two dimensions in technical and engineering drawings. — Wikipedia
Format is Everything
To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.


Introduction ENS is the Ethereum Name Service, a distributed, open, and extensible naming system based on the Ethereum blockchain.
Hack Yourself First: How to go on the Cyber-Offence - NDC London 2020 | Software Developers Conference Cyber-attacks have become a reality of running software on the web today. We find ourselves under a constant barrage of malicious activity from hacktivists, online criminals and increasingly, nation states. Successful attacks from these adversaries are pr...
CuriosityStream: Proud Sponsor of RealEngineering on Nebula Love RealEngineering? Then you'll love CuriosityStream - stream thousands of documentaries on engineering, science, history, and, of course, dinosaurs.
This Outrageous Clock Is Made Out of 144 Seven-Segment Displays "Yo dawg, I heard you like digital clocks so I made a digital clock out of digital clocks."
Brute Box 1, 200+ lb The Original Magnet Fishing Bundle (4.72" Magnet + Rope + Carabiner + Threadlocker): Amazon.com: Industrial & Scientific Brute Box 1, 200+ lb The Original Magnet Fishing Bundle (4.72" Magnet + Rope + Carabiner + Threadlocker): Amazon.com: Industrial & Scientific
SimonCropp/Verify Verification tool to enable simple approval of complex models and documents. - SimonCropp/Verify
SQL+.NET - The Only Enterprise Grade ORM More than an ordinary ORM, SQL+.NET provides a complete ecosystem for building high-perfomance data services that hold up in the most demanding environments. See why developers all over the world are making the switch to the best ORM for SQL and .net


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Class KHRDisplaySwapchain
- java.lang.Object
-
- org.lwjgl.vulkan.KHRDisplaySwapchain
-
public class KHRDisplaySwapchain extends java.lang.Object
This extension provides an API to create a swapchain directly on a device's display without any underlying window system.
-
-
Field Summary
Fields Modifier and Type Field and Description static int
VK_ERROR_INCOMPATIBLE_DISPLAY_KHR
The display used by a swapchain does not use the same presentable image layout, or is incompatible in a way that prevents sharing an image.static java.lang.String
VK_KHR_DISPLAY_SWAPCHAIN_EXTENSION_NAME
The extension name.static int
VK_KHR_DISPLAY_SWAPCHAIN_SPEC_VERSION
The extension specification version.static int
VK_STRUCTURE_TYPE_DISPLAY_PRESENT_INFO_KHR
VkStructureType
-
Constructor Summary
Constructors Constructor and Description KHRDisplaySwapchain(FunctionProvider provider)
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static KHRDisplaySwapchain
getInstance(DispatchableHandle handle)
Returns theKHRDisplaySwapchain
instance from the specified dispatchable handle.static KHRDisplaySwapchain
getInstance(VKCapabilities caps)
Returns theKHRDisplaySwapchain
instance of the specifiedVKCapabilities
.static int
vkCreateSharedSwapchainsKHR(VkDevice device, int swapchainCount, VkSwapchainCreateInfoKHR.Buffer pCreateInfos, VkAllocationCallbacks pAllocator, java.nio.ByteBuffer pSwapchains)
Creates multiple swapchains that share presentable images.static int
vkCreateSharedSwapchainsKHR(VkDevice device, VkSwapchainCreateInfoKHR.Buffer pCreateInfos, VkAllocationCallbacks pAllocator, java.nio.LongBuffer pSwapchains)
Alternative version of:CreateSharedSwapchainsKHR
-
-
-
Field Detail
-
VK_KHR_DISPLAY_SWAPCHAIN_SPEC_VERSION
public static final int VK_KHR_DISPLAY_SWAPCHAIN_SPEC_VERSION
The extension specification version.- See Also:
- Constant Field Values
-
VK_KHR_DISPLAY_SWAPCHAIN_EXTENSION_NAME
public static final java.lang.String VK_KHR_DISPLAY_SWAPCHAIN_EXTENSION_NAME
The extension name.- See Also:
- Constant Field Values
-
VK_STRUCTURE_TYPE_DISPLAY_PRESENT_INFO_KHR
public static final int VK_STRUCTURE_TYPE_DISPLAY_PRESENT_INFO_KHR
VkStructureType- See Also:
- Constant Field Values
-
VK_ERROR_INCOMPATIBLE_DISPLAY_KHR
public static final int VK_ERROR_INCOMPATIBLE_DISPLAY_KHR
The display used by a swapchain does not use the same presentable image layout, or is incompatible in a way that prevents sharing an image.- See Also:
- Constant Field Values
-
-
Constructor Detail
-
KHRDisplaySwapchain
public KHRDisplaySwapchain(FunctionProvider provider)
-
-
Method Detail
-
getInstance
public static KHRDisplaySwapchain getInstance(DispatchableHandle handle)
Returns theKHRDisplaySwapchain
instance from the specified dispatchable handle.
-
getInstance
public static KHRDisplaySwapchain getInstance(VKCapabilities caps)
Returns theKHRDisplaySwapchain
instance of the specifiedVKCapabilities
.
-
vkCreateSharedSwapchainsKHR
public static int vkCreateSharedSwapchainsKHR(VkDevice device, int swapchainCount, VkSwapchainCreateInfoKHR.Buffer pCreateInfos, VkAllocationCallbacks pAllocator, java.nio.ByteBuffer pSwapchains)
Creates multiple swapchains that share presentable images.vkCreateSharedSwapchains
is similar toCreateSwapchainKHR
, except that it takes an array ofVkSwapchainCreateInfoKHR
structures, and returns an array of swapchain objects.The swapchain creation parameters that affect the properties and number of presentable images must match between all the swapchains. If the displays used by any of the swapchains do not use the same presentable image layout or are incompatible in a way that prevents sharing images, swapchain creation will fail with the result code
ERROR_INCOMPATIBLE_DISPLAY_KHR
. If any error occurs, no swapchains will be created. Images presented to multiple swapchains must be re-acquired from all of them before transitioning away fromIMAGE_LAYOUT_PRESENT_SRC_KHR
. After destroying one or more of the swapchains, the remaining swapchains and the presentable images can continue to be used.Valid Usage
device
must be a validVkDevice
handlepCreateInfos
must be a pointer to an array ofswapchainCount
validVkSwapchainCreateInfoKHR
structures- If
pAllocator
is notNULL
,pAllocator
must be a pointer to a validVkAllocationCallbacks
structure pSwapchains
must be a pointer to an array ofswapchainCount
VkSwapchainKHR
handlesswapchainCount
must be greater than 0
Host Synchronization
- Host access to
pCreateInfos
[].surface must be externally synchronized - Host access to
pCreateInfos
[].oldSwapchain must be externally synchronized
- Parameters:
device
- the device to create the swapchains forswapchainCount
- the number of swapchains to createpCreateInfos
- a pointer to an array ofVkSwapchainCreateInfoKHR
structures specifying the parameters of the created swapchainspAllocator
- controls host memory allocationpSwapchains
- a pointer to an array ofVkSwapchainKHR
handles in which the created swapchain objects will be returned
-
vkCreateSharedSwapchainsKHR
public static int vkCreateSharedSwapchainsKHR(VkDevice device, VkSwapchainCreateInfoKHR.Buffer pCreateInfos, VkAllocationCallbacks pAllocator, java.nio.LongBuffer pSwapchains)
Alternative version of:CreateSharedSwapchainsKHR
-
-


property OnPaintStage: TPaintStageEvent;
type TPaintStageEvent = procedure(Sender: TObject; Dest: TBitmap32; StageNum: Cardinal) of object;
An event, called by the control while it repaints itself. By default, TCustomImage32 does not generate OnPaintStage events, but this can be changed by adding PST_CUSTOM paint stages.
In the event handler, do not paint to Buffer directly, use the passed Dest parameter instead.


--- layout: default title: Release v1.1.1 ---
Important bug fix for creating new events in non-UTC time zones (including BST)


By default, Riverbed provides MS-SQL optimizations only for Microsoft Project Enterprise 2003 when you use a MS SQL 2000 database. Each application interacts with the database differently and customizations are needed before the MS-SQL feature can be used for any other application. To optimize all other SQL applications with the MS-SQL Application acceleration module, contact Riverbed Professional Services.
The MS-SQL feature also optimizes other database applications, but you must define SQL rules to obtain maximum optimization. If you are interested in enabling the MS-SQL feature for other database applications, contact Riverbed Professional Services. Enables prefetching requests to request the next row in MS Project. This feature is enabled by default. The server-side Steelhead appliance prefetches sequential row results and the client-side Steelhead appliance caches them. Max Number of Pre-Acknowledgements Specify the number of requests to pre-acknowledge before waiting for a server response to be returned. The default value is 30. Specify a comma-separated list of port numbers for MS-SQL servers. By default, 1433 is optimized; if you specify other ports they are optimized instead.
3. Click Apply to apply your settings to the running configuration.
4. Click Save to save your settings permanently.


--- title: Sketchnoting layout: application active: sketchnoting ---
When I started taking sketchnotes, I discovered improvements in my working memory, visual expression, and even my speaking technique. If looking at sketchnotes makes your brain light up, I encourage you to give sketchnoting a try the next time you attend a presentation. If you make it through, give it another try, and another, and see what you gain over time.
“Own Your Story,” with Donna Lichaw, IA Conference 2019 opening keynote
“Liberal Arts in Prison Program,” with Emily Guenther '07, Peter Thullen, Jason Darrah, Michael Cosby, and Clark Lingren
“Racist By Design: Or Why Robots are Not Taking Our Jobs” with Carolyn Rouse at #epiconference
“Mice That Roar” with @marthafoley @klcctripp at PRNDI 2016
“Information Architecture and the Materialities of the Digital” with Paul Dourish @dourish #ias14
See more of my sketchnotes on Flickr


| <=-method | Comparing and ordering the list elements of XRawList objects |
| ==-method | The XDoubleViews class |
| ==-method | The XIntegerViews class |
| ==-method | Comparing and ordering the list elements of XRawList objects |
| ==-method | XVector objects |
| as.data.frame-method | XVectorList objects |
| as.integer-method | XVector objects |
| as.numeric-method | XVector objects |
| as.raw-method | XVector objects |
| as.vector-method | XVector objects |
| bindROWS-method | XVector objects |
| bindROWS-method | XVectorList objects |
| class:GroupedIRanges | XVectorList objects |
| class:OnDiskRaw | OnDiskRaw objects |
| class:XDouble | XVector objects |
| class:XDoubleViews | The XDoubleViews class |
| class:XInteger | XVector objects |
| class:XIntegerViews | The XIntegerViews class |
| class:XRaw | XVector objects |
| class:XRawList | XRawList objects |
| class:XVector | XVector objects |
| class:XVectorList | XVectorList objects |
| coerce-method | XVector objects |
| compact | Object compaction |
| compact-method | Object compaction |
| duplicated-method | Comparing and ordering the list elements of XRawList objects |
| duplicated.XRawList | Comparing and ordering the list elements of XRawList objects |
| elementNROWS-method | XVectorList objects |
| GroupedIRanges | XVectorList objects |
| GroupedIRanges-class | XVectorList objects |
| intra-range-methods | Intra range transformations of an XVectorList object |
| is.unsorted-method | Comparing and ordering the list elements of XRawList objects |
| length-method | OnDiskRaw objects |
| length-method | XVector objects |
| match-method | Comparing and ordering the list elements of XRawList objects |
| names-method | XVectorList objects |
| names<--method | XVectorList objects |
| narrow | Intra range transformations of an XVectorList object |
| narrow-method | Intra range transformations of an XVectorList object |
| OnDiskRaw | OnDiskRaw objects |
| OnDiskRaw-class | OnDiskRaw objects |
| order-method | Comparing and ordering the list elements of XRawList objects |
| parallelSlotNames-method | XVectorList objects |
| pcompare | Comparing and ordering the list elements of XRawList objects |
| pcompare-method | Comparing and ordering the list elements of XRawList objects |
| rank-method | Comparing and ordering the list elements of XRawList objects |
| rev-method | Reverse an XVector or XVectorList object |
| reverse-method | Reverse an XVector or XVectorList object |
| reverse-methods | Reverse an XVector or XVectorList object |
| show-method | The XDoubleViews class |
| show-method | The XIntegerViews class |
| show-method | XVector objects |
| show-method | XVectorList objects |
| showAsCell-method | XVectorList objects |
| slice-method | Slice an XInteger or XDouble object |
| slice-methods | Slice an XInteger or XDouble object |
| subseq | XVector objects |
| subseq-method | XVector objects |
| subseq-method | XVectorList objects |
| subseq<- | XVector objects |
| subseq<--method | XVector objects |
| threebands | Intra range transformations of an XVectorList object |
| threebands-method | Intra range transformations of an XVectorList object |
| unsplit_list_of_XVectorList | XVectorList objects |
| updateObject-method | Update an object of a class defined in the XVector package to its current class definition |
| updateObject-methods | Update an object of a class defined in the XVector package to its current class definition |
| view-summarization-methods | Summarize views on an XInteger or XDouble object |
| viewMaxs-method | Summarize views on an XInteger or XDouble object |
| viewMeans-method | Summarize views on an XInteger or XDouble object |
| viewMins-method | Summarize views on an XInteger or XDouble object |
| Views-method | The XDoubleViews class |
| Views-method | The XIntegerViews class |
| viewSums-method | Summarize views on an XInteger or XDouble object |
| viewWhichMaxs-method | Summarize views on an XInteger or XDouble object |
| viewWhichMins-method | Summarize views on an XInteger or XDouble object |
| width-method | XVectorList objects |
| windows-method | Intra range transformations of an XVectorList object |
| XDouble | XVector objects |
| XDouble-class | XVector objects |
| XDoubleViews | The XDoubleViews class |
| XDoubleViews-class | The XDoubleViews class |
| XInteger | XVector objects |
| XInteger-class | XVector objects |
| XIntegerViews | The XIntegerViews class |
| XIntegerViews-class | The XIntegerViews class |
| XNumeric | XVector objects |
| XRaw | XVector objects |
| XRaw-class | XVector objects |
| XRawList | XRawList objects |
| XRawList-class | XRawList objects |
| XRawList-comparison | Comparing and ordering the list elements of XRawList objects |
| xvcopy | Object compaction |
| xvcopy-method | Object compaction |
| XVector | XVector objects |
| XVector-class | XVector objects |
| XVectorList | XVectorList objects |
| XVectorList-class | XVectorList objects |
| [-method | XVectorList objects |


{% load i18n %}
{% trans "Are you sure you want to delete selected submissions?" %}
{% trans "All content related to these submissions will also be deleted. This includes reviews, determinations and comments" %}.
{% trans "Delete" as delete %} {% include 'funds/includes/delegated_form_base.html' with form=batch_delete_submission_form value=delete %}


--- title: "Effects of population fluctuations on genome evolution in the wild" description: "" date: 2017-05-09T17:00:28-05:00 weight: 998 math: true image: "/img/midge_pop.png" ---
How do extreme population fluctuations structure genomes in wild populations? I’m exploring this question with a population of midges in Lake Mývatn, Iceland, where they have irregular population fluctuations of about 5 orders of magnitude. As part of a long-term monitoring project at Mývatn, Dr. Árni Einarsson has estimated midge densities, and collected and stored midge samples since 1977. I am leveraging this time series of whole-genome and ecological data to assess how genomic structure is affected by these extreme population dynamics.


ccsalison
Home
About
Contact
Alison Chan
Not the first website I code on but the first website I built from scratch.
Casually coding since 2003.
GitHub
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Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM and MM algorithms. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("turboEM").
| Version: | 2018.1 |
| Depends: | R (≥ 2.12.0), doParallel, foreach, numDeriv, quantreg |
| Imports: | iterators |
| Suggests: | setRNG |
| Published: | 2018-05-03 |
| Author: | Jennifer F. Bobb [aut], Ravi Varadhan [aut, cre], Hui Zhao [ctb] |
| Maintainer: | Ravi Varadhan <ravi.varadhan at jhu.edu> |
| License: | GPL-2 |
| URL: | http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | turboEM results |
| Reference manual: | turboEM.pdf |
| Vignettes: |
turboEM Tutorial |
| Package source: | turboEM_2018.1.tar.gz |
| Windows binaries: | r-devel: turboEM_2018.1.zip, r-release: turboEM_2018.1.zip, r-oldrel: turboEM_2018.1.zip |
| OS X binaries: | r-release: turboEM_2018.1.tgz, r-oldrel: turboEM_2018.1.tgz |
| Old sources: | turboEM archive |
| Reverse depends: | SpatialVx |
| Reverse imports: | addreg, logbin |
Please use the canonical form https://CRAN.R-project.org/package=turboEM to link to this page.


Method List
Search:
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archive_date_block PrivacyExtractor
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archive_url_block PrivacyExtractor
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archive_xpath PrivacyExtractor
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build PrivacyExtractor
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convert_date PrivacyExtractor
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dates ArchiveExtractor
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different? PrivacyDiffer
-
extract PrivacyExtractor
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getLinks PrivacyExtractor
-
links ArchiveExtractor
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mode PrivacyExtractor
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own_archive PrivacyExtractor
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plain_block PrivacyExtractor
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stamps ArchiveExtractor
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start Crawler
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table_name PrivacyExtractor
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threshold PrivacyDiffer
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url PrivacyExtractor
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xpath PrivacyExtractor


Yorkshire fish and chip shop opens new branch in China
It comes after Scotts Fish And Chips in York became a big hit with tourists visiting from China.
A Yorkshire fish and chip shop has opened a new branch in China.
Scotts Fish And Chips in York has proved to be a big hit with Chinese tourists visiting the UK over the last 18 months.
That success led to a Chinese businessman, Jimmy Yu, approaching the shop’s owner, Tony Webster, about opening a branch in Chengdu, the capital of Sichuan.
Mr Webster attended the official opening in Chengdu over the weekend, and said he was “genuinely surprised” at how good the fish and chips – made to his own shop’s recipe – tasted.
“I was worried before I arrived but they are very, very good,” he told the PA news agency. “The one thing from the beginning with Jimmy Yu, he wanted to be authentic.
“You have to tweak the menu and the flavours to the local taste – so they have Sichuan sauce, for example, as well as ketchup – but the core product has to be the authentic fish and chips and they’ve done a bloody good job on that.”
Mr Webster found success with visitors from China to Yorkshire after having his menu translated into Mandarin and establishing a presence for his shop on Chinese social media.
That saw coach parties of tourists from China eating at the shop and earned coverage in Chinese media last year, which brought it to the attention of Mr Yu.
Mr Webster was first approached by Mr Yu last December, and the pair worked out a licensing agreement which saw Scotts’ first Chinese branch open less than a year later – with the potential of more to follow.
“They are looking to roll it out across China with already talk of two or three more sites next year,” Mr Webster said. “We’ve met the investors and had dinner, and they’re really excited. You never know, but it could be the start of a good partnership.”
The food seems to have been a success with the locals so far, with the only issue being the portion size.
“One of the things we’ve found in the UK and they’re finding here is the portion is too big,” Mr Webster said. “I was talking to some customers on Saturday and there were two ladies sharing one portion, so they’re going to start doing a small portion.”
While Mr Webster says he has shared all his “recipes and methodologies” with the new shop, there is one traditional aspect of the cooking process that has not yet been adopted.
Mr Webster said: “They’re in veg oil at the minute but I’ve had words with them at the weekend to say, ‘look, you need to try and find some beef dripping out here’.”


Uses of Class
com.jme.math.Transform
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Packages that use Transform Package Description com.jme.anim com.jme.anim.interpolator com.jme.anim.tween.action com.jme.anim.util com.jme.animation com.jme.bounding com.jme.light com.jme.math com.jme.scene com.jme.shadow -
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Uses of Transform in com.jme.anim
Methods in com.jme.anim that return Transform Modifier and Type Method Description Transform
Joint. getLocalTransform()
Transform
Joint. getModelTransform()
Transform
MatrixJointModelTransform. getModelTransform()
Transform
SeparateJointModelTransform. getModelTransform()
Methods in com.jme.anim with parameters of type Transform Modifier and Type Method Description void
MatrixJointModelTransform. applyBindPose(Transform localTransform, Matrix4f inverseModelBindMatrix, Joint parent)
void
SeparateJointModelTransform. applyBindPose(Transform localTransform, Matrix4f inverseModelBindMatrix, Joint parent)
void
TransformTrack. getDataAtTime(double t, Transform transform)
void
Joint. setLocalTransform(Transform localTransform)
void
MatrixJointModelTransform. updateModelTransform(Transform localTransform, Joint parent)
void
SeparateJointModelTransform. updateModelTransform(Transform localTransform, Joint parent)
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Uses of Transform in com.jme.anim.interpolator
Methods in com.jme.anim.interpolator that return Transform Modifier and Type Method Description Transform
FrameInterpolator. interpolate(float t, int currentIndex, CompactVector3Array translations, CompactQuaternionArray rotations, CompactVector3Array scales, float[] times)
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Uses of Transform in com.jme.anim.tween.action
Methods in com.jme.anim.tween.action with parameters of type Transform Modifier and Type Method Description abstract void
BlendableAction. collectTransform(HasLocalTransform target, Transform t, float weight, BlendableAction source)
void
BlendAction. collectTransform(HasLocalTransform target, Transform t, float weight, BlendableAction source)
void
ClipAction. collectTransform(HasLocalTransform target, Transform t, float weight, BlendableAction source)
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Uses of Transform in com.jme.anim.util
Methods in com.jme.anim.util that return Transform Modifier and Type Method Description Transform
HasLocalTransform. getLocalTransform()
Transform
JointModelTransform. getModelTransform()
Methods in com.jme.anim.util with parameters of type Transform Modifier and Type Method Description void
JointModelTransform. applyBindPose(Transform localTransform, Matrix4f inverseModelBindMatrix, Joint parent)
void
HasLocalTransform. setLocalTransform(Transform transform)
void
JointModelTransform. updateModelTransform(Transform localTransform, Joint parent)
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Uses of Transform in com.jme.animation
Methods in com.jme.animation that return Transform Modifier and Type Method Description Transform
Bone. getBindInverseTransform()
Deprecated.Transform
Bone. getCombinedTransform(Vector3f position, Quaternion rotation)
Deprecated.Returns the local transform of this bone combined with the given position and rotationTransform
Bone. getModelBindInverseTransform()
Deprecated.Methods in com.jme.animation with parameters of type Transform Modifier and Type Method Description void
AnimationFactory. addKeyFrameTransform(int keyFrameIndex, Transform transform)
Adds a key frame for the given Transform at the given keyFrame indexvoid
AnimationFactory. addTimeTransform(float time, Transform transform)
Adds a key frame for the given Transform at the given time -
Uses of Transform in com.jme.bounding
Methods in com.jme.bounding with parameters of type Transform Modifier and Type Method Description BoundingVolume
BoundingBox. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the box to reflect the change made via a rotation, translation and scale.BoundingVolume
BoundingSphere. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the sphere to reflect the change made via a rotation, translation and scale.BoundingVolume
BoundingVolume. transform(Transform trans)
transform
alters the location of the bounding volume by a rotation, translation and a scalar.abstract BoundingVolume
BoundingVolume. transform(Transform trans, BoundingVolume store)
transform
alters the location of the bounding volume by a rotation, translation and a scalar. -
Uses of Transform in com.jme.light
Constructors in com.jme.light with parameters of type Transform Constructor Description OrientedBoxProbeArea(Transform transform)
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Uses of Transform in com.jme.math
Fields in com.jme.math declared as Transform Modifier and Type Field Description static Transform
Transform. IDENTITY
Methods in com.jme.math that return Transform Modifier and Type Method Description Transform
Transform. clone()
Transform
Transform. combineWithParent(Transform parent)
Changes the values of this matrix according to its parent.Transform
Transform. invert()
Transform
Transform. set(Transform matrixQuat)
Sets this matrix to be equal to the given matrix.Transform
Transform. setRotation(Quaternion rot)
Sets this rotation to the given Quaternion value.Transform
Transform. setScale(float scale)
Sets this scale to the given value.Transform
Transform. setScale(float x, float y, float z)
Sets this matrix's scale to the given x,y,z values.Transform
Transform. setScale(Vector3f scale)
Sets this scale to the given value.Transform
Transform. setTranslation(float x, float y, float z)
Sets this matrix's translation to the given x,y,z values.Transform
Transform. setTranslation(Vector3f trans)
Sets this translation to the given value.Methods in com.jme.math with parameters of type Transform Modifier and Type Method Description Transform
Transform. combineWithParent(Transform parent)
Changes the values of this matrix according to its parent.void
Transform. interpolateTransforms(Transform t1, Transform t2, float delta)
Sets this transform to the interpolation between the first transform and the second by delta amount.Transform
Transform. set(Transform matrixQuat)
Sets this matrix to be equal to the given matrix. -
Uses of Transform in com.jme.scene
Fields in com.jme.scene declared as Transform Modifier and Type Field Description protected Transform
Spatial. localTransform
protected Transform
Spatial. worldTransform
Methods in com.jme.scene that return Transform Modifier and Type Method Description Transform
Spatial. getLocalTransform()
getLocalTransform
retrieves the local transform of this spatial.Transform
Spatial. getWorldTransform()
getWorldTransform
retrieves the world transformation of the spatial.Methods in com.jme.scene with parameters of type Transform Modifier and Type Method Description void
Spatial. setLocalTransform(Transform t)
setLocalTransform
sets the local transform of this spatial. -
Uses of Transform in com.jme.shadow
Methods in com.jme.shadow with parameters of type Transform Modifier and Type Method Description static BoundingBox
ShadowUtil. computeBoundForPoints(Vector3f[] pts, Transform transform)
Compute bounds from an array of pointsstatic BoundingBox
ShadowUtil. computeUnionBound(GeometryList list, Transform transform)
Compute bounds of a geomList
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What is the Tech Radar?
The fme AG Tech Radar is a list of technologies, complemented by an assessment result, called ring assignment. We use four rings with the following semantics:
- ADOPT — Technologies we have high confidence in to serve our purpose, also in large scale. Technologies with a usage culture in production environments built
by fme, low risk and recommended to be widely used.
- TRIAL — Technologies that we have seen work with success in project work to solve a real problem; first serious usage experience that confirm benefits and
can uncover limitations. TRIAL technologies are slightly more risky; some engineers in our organization walked this path and will share knowledge and experiences.
- ASSESS — Technologies that are promising and have clear potential value-add for us; technologies worth to invest some research and prototyping efforts in to
see if it has impact. ASSESS technologies have higher risks; they are often brand new and highly unproven in our organisation. You will find some engineers that have knowledge in
the technology and promote it, you may even find teams that have started a prototyping effort.
- HOLD — Technologies not recommended to be used for new projects. Technologies that we think are not (yet) worth to (further) invest in. HOLD technologies
should not be used for new projects, but usually can be continued for existing projects.
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What is the purpose?
The Tech Radar is a tool to inspire and support teams at fme to pick the best technologies for new projects; it provides a platform to share knowledge and experience in technologies,
to reflect on technology decisions and continuously evolve our technology landscape. Based on the pioneering work of ThoughtWorks, our
Tech Radar sets out the changes in technologies that are interesting in software development — changes that we think our engineering teams should pay attention to and consider
using in their projects.
How do we maintain it?
The Tech Radar is maintained by the fme's Competence Center Leaders and depends on active participation and input from all engineering teams at fme.
The Tech Radar was created by using Zalando's Open Source visualization generator
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Data represented as dataframes are generally much easier to transform, filter, or write to a target source. In Spark, loading or querying data from a source will automatically be loaded as a dataframe.
Here’s an example of loading, querying, and writing data using PySpark and SQL:
import pyspark
# Define your SparkContext and SparkSession
sc = pyspark.context.SparkContext(master='host', appName='Sample App')
session = pyspark.sql.session.SparkSession(sc)
"""
Load your data using:
- spark.read.json('some/path/or/url')
- spark.read.parquet('some/path/or/url')
- spark.read.csv('some/path/or/url')
- spark.read.text('some/path/or/url'), etc.
"""
data = spark.read.json('some/path/or/url')
data.createOrReplaceTempView("table")
# Apply some SQL query to the data, which results in a DataFrame
df = session.sql("""
select col1, col2, sum(col3)
from table
where col4 = 'some_val'
group by col1, col2
""")
# Write the query results to a target in your desired format (say, JSON)
df.write.json('target/path/')
The example above works conveniently if you can easily load your data as a dataframe using PySpark’s built-in functions. But sometimes you’re in a situation where your processed data ends up as a list of Python dictionaries, say when you weren’t required to use spark.read
and/or session.sql
. How can you load your data as a Spark DataFrame in order to take advantage of its capabilities?
Let’s say you have a list of dictionaries as follows:
data = [
{
'id': 123,
'uuid': '123e4567-e89b-12d3-a456',
'description': 'lorem ipsum',
'price': 45.67,
'some_date': date_object,
'some_timestamp': datetime_object,
'binary_file': b'binary-encoding',
'deleted': False,
'tags': ['tag1', 'tag2', 'tag3'],
'metadata': {
'source': 'universe',
'original_price': 33,
}
},
# ...
]
Converting this into a Spark DataFrame is as simple as knowing how the datatype of each key-value pair of its dictionaries map to one of PySpark’s DataType subclasses. You can find the latest list of available PySpark data types here.
from pyspark.sql.types import *
fields = [
StructField('id', IntegerType(), False),
StructField('uuid', StringType(), False),
StructField('description', TextType(), False),
StructField('price', DecimalType(precision=10, scale=2), False),
StructField('some_date', DateType(), False),
StructField('some_timestamp', TimestampType(), False),
StructField('binary_file', BinaryType(), False),
StructField('deleted', BooleanType(), False),
StructField('tags', ArrayType(StringType()), False),
StructField('metadata', StructType(), False)
]
schema = StructType(fields)
df = spark.createDataFrame(data, schema)
# DataFrame related stuff here
df.write.mode('overwrite').parquet('/some/target')
You can actually skip the type matching above and let Spark infer the datatypes contained in the dictionaries. But I personally do not encourage this because automatically inferring data types may lead to hard-to-debug side effects when you process the data downstream. It’s better to be explicit right from the start so you can confidently handle the data moving forward knowing that the data types for the fields are what you specified them to be.