Introduced in Office Excel 2007 the Shared Feature 12 ( FEAT12 ) record has the same data layout as the FEAT11 (Shared Feature 11) record with the benefit that Office Excel 2003 doesn’t understand the contents of a FEAT12 record. For instance this is used to save a Table when Office Excel 2007 features make the Table unrecognizable and/or unusable in Office Excel 2003.
See the description of the FEAT11 : Shared Feature 11 Record (872h) for a description of the record data.


Gotta catch em all!
Find your Pokemon!
Search
Pokemon Type
All
Electric
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Water
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Pokemon Weakness
All
Electric
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Normal
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Psychic
Fairy
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Flying
All
Yes
No
Which Pokemon are you?
You are..


Greetings! I assume you are here because obviously you are so enthralled with the informative and captivating nature of my thematic site about slashers that you needed to see and learn about the amazing writer? Well, I am 19, attending my 2nd year of Bellevue College, and the main purpose of my choice in slashers as a theme is just the nostalgia aspect to them and the fun sarcasm I can impose in my writing with the silliness that they are.


Interface: tos.chips.atm128.i2c.Atm128I2C
interface Atm128I2C
An interface for stopping the I2C bus. Needed by the resource
reservation system, so that when a client releases you're sure
there's a stop.
- Author:
-
Philip Levis
- Version:
-
$Id: Atm128I2C.nc,v 1.4 2006/12/12 18:23:03 vlahan Exp $
Commands
Commands - Details
stop
command void stop()


How it works
The research planner allows you to build a research queue and get a rough idea of how your research will progress. You can freely reorder the queue, though
prerequisites are enforced (you won't be allowed to research Advanced Beam Lasers before Beam Lasers, for example).
Unlike in the actual game, you cannot switch away from a research while it is in progress.
Time estimates
The time estimates are generated using the following:
- The facility plan you've established in the Facilities tab (i.e. number of Laboratories and lab adjacencies).
- Interrogation bonuses earned before the research's position in the queue.
- Country and continent bonuses earned before or during the research's position in the queue (e.g. We Have Ways or Expertise).
- A rough guess at how many scientists you will have at that time.
The first 3 factors are all deterministic; if you follow the plan you've built exactly, those will always play out the same way. The fourth factor is much more random,
because scientists are gained by completing council missions and fulfilling council requests, both of which are not only heavily randomized, but depend on your actions
as well. (You also can gain scientists at each council report, which is deterministic and is factored in according to your satellite plan.)
To account for this, the number of scientists you will have is estimated based on data collected from other players' campaigns.


Open SD
Click on the "?" to have a tip
This is a tip coming from the my-tooltip slot 😊
A link
Another link
A third link


Plan for this week
Last week:
user-defined data types
manipulating data-types with pattern matching and recursion
how to make recursive functions more efficient with tail recursion
The long arc of history
Pattern matching is a very old PL idea …
- Variants of LISP from 1970 by Fred McBride
… but will finally be added to Python 3.10
- https://www.python.org/dev/peps/pep-0622/
def make_point_3d(pt):
match pt:
case (x, y):return Point3d(x, y, 0)
case (x, y, z):return Point3d(x, y, z)
case Point2d(x, y):return Point3d(x, y, 0)
case Point3d(_, _, _):return pt
case _:raise TypeError("not a point we support")
Plan for this week
Last week:
user-defined data types
manipulating data-types with pattern matching and recursion
how to make recursive functions more efficient with tail recursion
This week:
code reuse with higher-order functions (HOFs)
some useful HOFs:
map
,filter
, andfold
Recursion is good…
Recursive code mirrors recursive data
- Base constructor -> Base case
- Inductive constructor -> Inductive case (with recursive call)
But it can get kinda repetitive!
Example: evens
Let’s write a function evens
:
-- evens [] ==> []
-- evens [1,2,3,4] ==> [2,4]
evens :: [Int] -> [Int]
= ...
evens [] :xs) = ... evens (x
Example: four-letter words
Let’s write a function fourChars
:
-- fourChars [] ==> []
-- fourChars ["i","must","do","work"] ==> ["must","work"]
fourChars :: [String] -> [String]
= ...
fourChars [] :xs) = ... fourChars (x
Yikes! Most Code is the Same!
Lets rename the functions to foo
:
= []
foo [] :xs)
foo (x| x mod 2 == 0 = x : foo xs
| otherwise = foo xs
= []
foo [] :xs)
foo (x| length x == 4 = x : foo xs
| otherwise = foo xs
Only difference is condition
x mod 2 == 0
vslength x == 4
Moral of the day
D.R.Y. Don’t Repeat Yourself!
Can we
reuse the general pattern and
plug-in the custom condition?
Higher-Order Functions
General Pattern
- expressed as a higher-order function
- takes plugin operations as arguments
Specific Operation
- passed in as an argument to the HOF
The “filter” pattern
General Pattern
- HOF
filter
- Recursively traverse list and pick out elements that satisfy a predicate
Specific Operations
- Predicates
isEven
andisFour
Avoid duplicating code!
QUIZ: What is the type of filter
?
-- evens [1,2,3,4] ==> [2,4]
evens :: [Int] -> [Int]
= filter isEven xs
evens xs where
isEven :: Int -> Bool
= x `mod` 2 == 0
isEven x
-- fourChars ["i","must","do","work"] ==> ["must","work"]
fourChars :: [String] -> [String]
= filter isFour xs
fourChars xs where
isFour :: String -> Bool
= length x == 4 isFour x
So what’s the type of filter
?
{- A -} filter :: (Int -> Bool) -> [Int] -> [Int]
{- B -} filter :: (String -> Bool) -> [String] -> [String]
{- C -} filter :: (a -> Bool) -> [a] -> [a]
{- D -} filter :: (a -> Bool) -> [a] -> [Bool]
{- E -} filter :: (a -> b) -> [a] -> [b]
Type of filter
-- evens [1,2,3,4] ==> [2,4]
evens :: [Int] -> [Int]
= filter isEven xs
evens xs where
isEven :: Int -> Bool
= x `mod` 2 == 0
isEven x
-- fourChars ["i","must","do","work"] ==> ["must","work"]
fourChars :: [String] -> [String]
= filter isFour xs
fourChars xs where
isFour :: String -> Bool
= length x == 4 isFour x
For any type a
- Input a predicate
a -> Bool
and collection[a]
- Output a (smaller) collection
[a]
filter :: (a -> Bool) -> [a] -> [a]
filter
does not care what the list elements are
- as long as the predicate can handle them
filter
is polymorphic (generic) in the type of list elements
Example: ALL CAPS!
Lets write a function shout
:
-- shout [] ==> []
-- shout ['h','e','l','l','o'] ==> ['H','E','L','L','O']
shout :: [Char] -> [Char]
= ...
shout [] :xs) = ... shout (x
Example: squares
Lets write a function squares
:
-- squares [] ==> []
-- squares [1,2,3,4] ==> [1,4,9,16]
squares :: [Int] -> [Int]
= ...
squares [] :xs) = ... squares (x
Yikes, Most Code is the Same
Lets rename the functions to foo
:
-- shout
= []
foo [] :xs) = toUpper x : foo xs
foo (x
-- squares
= []
foo [] :xs) = (x * x) : foo xs foo (x
Lets refactor into the common pattern
pattern = ...
The “map” pattern
General Pattern
- HOF
map
- Apply a transformation
f
to each element of a list
Specific Operations
- Transformations
toUpper
and\x -> x * x
map f [] = []
map f (x:xs) = f x : map f xs
Lets refactor shout
and squares
= map ...
shout
= map ... squares
QUIZ
What is the type of map
?
map f [] = []
map f (x:xs) = f x : map f xs
(A) (Char -> Char) -> [Char] -> [Char]
(B) (Int -> Int) -> [Int] -> [Int]
(C) (a -> a) -> [a] -> [a]
(D) (a -> b) -> [a] -> [b]
(E) (a -> b) -> [c] -> [d]
-- For any types `a` and `b`
-- if you give me a transformation from `a` to `b`
-- and a list of `a`s,
-- I'll give you back a list of `b`s
map :: (a -> b) -> [a] -> [b]
Type says it all!
The only meaningful thing a function of this type can do is apply its first argument to elements of the list
Hoogle it!
Things to try at home:
can you write a function
map' :: (a -> b) -> [a] -> [b]
whose behavior is different frommap
?can you write a function
map' :: (a -> b) -> [a] -> [b]
such thatmap' f xs
returns a list whose elements are not inmap f xs
?
QUIZ
What is the value of quiz
?
map :: (a -> b) -> [a] -> [b]
= map (\(x, y) -> x + y) [1, 2, 3] quiz
(A) [2, 4, 6]
(B) [3, 5]
(C) Syntax Error
(D) Type Error
(E) None of the above
Don’t Repeat Yourself
Benefits of factoring code with HOFs:
Reuse iteration pattern
think in terms of standard patterns
less to write
easier to communicate
Avoid bugs due to repetition
Recall: length of a list
-- len [] ==> 0
-- len ["carne","asada"] ==> 2
len :: [a] -> Int
= 0
len [] :xs) = 1 + len xs len (x
Recall: summing a list
-- sum [] ==> 0
-- sum [1,2,3] ==> 6
sum :: [Int] -> Int
sum [] = 0
sum (x:xs) = x + sum xs
Example: string concatenation
Let’s write a function cat
:
-- cat [] ==> ""
-- cat ["carne","asada","torta"] ==> "carneasadatorta"
cat :: [String] -> String
= ...
cat [] :xs) = ... cat (x
Can you spot the pattern?
-- len
= 0
foo [] :xs) = 1 + foo xs
foo (x
-- sum
= 0
foo [] :xs) = x + foo xs
foo (x
-- cat
= ""
foo [] :xs) = x ++ foo xs foo (x
pattern = ...

What about tail-recursive versions?
Let’s write tail-recursive sum
!
sumTR :: [Int] -> Int
= ... sumTR
Lets run sumTR
to see how it works
1,2,3]
sumTR [==> helper 0 [1,2,3]
==> helper 1 [2,3] -- 0 + 1 ==> 1
==> helper 3 [3] -- 1 + 2 ==> 3
==> helper 6 [] -- 3 + 3 ==> 6
==> 6
Note: helper
directly returns the result of recursive call!
Let’s write tail-recursive cat
!
catTR :: [String] -> String
= ... catTR
Lets run catTR
to see how it works
"carne", "asada", "torta"]
catTR [
==> helper "" ["carne", "asada", "torta"]
==> helper "carne" ["asada", "torta"]
==> helper "carneasada" ["torta"]
==> helper "carneasadatorta" []
==> "carneasadatorta"
Note: helper
directly returns the result of recursive call!
Can you spot the pattern?
-- sumTR
= helper 0 xs
foo xs where
= acc
helper acc [] :xs) = helper (acc + x) xs
helper acc (x
-- catTR
= helper "" xs
foo xs where
= acc
helper acc [] :xs) = helper (acc ++ x) xs helper acc (x
pattern = ...
The “fold-left” pattern
General Pattern
- Use a helper function with an extra accumulator argument
- To compute new accumulator, combine current accumulator with the head using some binary operation
foldl f b xs = helper b xs
where
= acc
helper acc [] :xs) = helper (f acc x) xs helper acc (x
Let’s refactor sumTR
and catTR
:
= foldl ... ...
sumTR
= foldl ... ... catTR
Factor the tail-recursion out!
QUIZ
What does this evaluate to?
foldl f b xs = helper b xs
where
= acc
helper acc [] :xs) = helper (f acc x) xs
helper acc (x
= foldl (\xs x -> x : xs) [] [1,2,3] quiz
(A) Type error
(B) [1,2,3]
(C) [3,2,1]
(D) [[3],[2],[1]]
(E) [[1],[2],[3]]
foldl f b (x1: x2: x3 : [])
==> helper b (x1: x2: x3 : [])
==> helper (f x1 b) (x2: x3 : [])
==> helper (f x2 (f x1 b)) (x3 : [])
==> helper (f x3 (f x2 (f x1 b))) []
==> ( x3 : (x2 : (x1 : [])))
The “fold-left” pattern
foldl f b [x1, x2, x3, x4]
==> helper b [x1, x2, x3, x4]
==> helper (f b x1) [x2, x3, x4]
==> helper (f (f b x1) x2) [x3, x4]
==> helper (f (f (f b x1) x2) x3) [x4]
==> helper (f (f (f (f b x1) x2) x3) x4) []
==> (f (f (f (f b x1) x2) x3) x4)
Accumulate the values from the left
For example:
foldl (+) 0 [1, 2, 3, 4]
==> helper 0 [1, 2, 3, 4]
==> helper (0 + 1) [2, 3, 4]
==> helper ((0 + 1) + 2) [3, 4]
==> helper (((0 + 1) + 2) + 3) [4]
==> helper ((((0 + 1) + 2) + 3) + 4) []
==> ((((0 + 1) + 2) + 3) + 4)
Left vs. Right
foldl f b [x1, x2, x3] ==> f (f (f b x1) x2) x3 -- Left
foldr f b [x1, x2, x3] ==> f x1 (f x2 (f x3 b)) -- Right
For example:
foldl (+) 0 [1, 2, 3] ==> ((0 + 1) + 2) + 3 -- Left
foldr (+) 0 [1, 2, 3] ==> 1 + (2 + (3 + 0)) -- Right
Different types!
foldl :: (b -> a -> b) -> b -> [a] -> b -- Left
foldr :: (a -> b -> b) -> b -> [a] -> b -- Right
Higher Order Functions
Iteration patterns over collections:
- Filter values in a collection given a predicate
- Map (iterate) a given transformation over a collection
- Fold (reduce) a collection into a value, given a binary operation to combine results
HOFs can be put into libraries to enable modularity
Data structure library implements
map
,filter
,fold
for its collectionsgeneric efficient implementation
generic optimizations:
map f (map g xs) --> map (f.g) xs
Data structure clients use HOFs with specific operations
- no need to know the implementation of the collection
Crucial foundation of
“big data” revolution e.g. MapReduce, Spark, TensorFlow
“web programming” revolution e.g. Jquery, Angular, React


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Add new session
Add new session
Add new session
Add new session
Usual input field:
Usual password field:
Single file uploader:
Dropdown menu:
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Option 2
Option 3
Option 4
Option 5
Option 6
Option 7
Option 8
Dropdown with search:
Cambodia
Cameroon
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Central African Republic
Chad
Chile
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Christmas Island
Cocos (Keeling) Islands
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orders
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8
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Usual input field:
Password field:
With placeholder:
Read only field:
Disabled field:
Field with notice:
Some nice stuff goes here
Label with notice:
The same stuff here
Predefined value:
Field with tooltip:
Max 10 characters:
With icons:
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Textarea:
Elastic textarea:
With character counter:
Field limited to 100 characters.
Tags:
Fields with masked values
Date:
99/99/9999
Phone:
(999) 999-9999
Phone + Ext:
(999) 999-9999? x99999
Int'l Phone:
+33 999 999 999
Tax ID:
99-9999999
SSN:
999-99-9999
Product Key:
a*-999-a999
Eye Script:
~9.99 ~9.99 999
Purchase Order:
aaa-999-***
Percent:
99%
Autotabs
Simple data row
-
-
-
-
-
Numbers only
-
-
-
-
-
Letters only
-
-
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-
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Alpha only
-
-
-
-
-
Regular expressions
-
-
-
-
-
Uppercase converting
-
-
-
-
-
Dropdowns and selects
Select with scrolling :
Usual select box
Option 2
Option 3
Option 4
Option 5
Option 6
Option 7
Option 8
Styled dropdown :
Usual select box with dropdown styling
Option 2
Option 3
Option 4
Option 5
Option 6
Option 7
Option 8
Select with search:
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
Christmas Island
Cocos (Keeling) Islands
Colombia
Comoros
Congo
Congo, The Democratic Republic of The
Cook Islands
Costa Rica
Cote D'ivoire
Croatia
Cuba
Cyprus
Czech Republic
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands (Malvinas)
Faroe Islands
Fiji
Finland
France
French Guiana
French Polynesia
French Southern Territories
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Bootstrap dropdowns:
Regular link
|
Regular link
|
Dropdown
Add
Remove
Edit
Do whatever you like
Multiple with search:
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New York Giants
Philadelphia Eagles
Washington Redskins
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Cincinnati Bengals
Cleveland Browns
Pittsburgh Steelers
Houston Texans
Indianapolis Colts
Jacksonville Jaguars
Tennessee Titans
Denver Broncos
Kansas City Chiefs
Oakland Raiders
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Multiple selects :
Amsterdam
Atlanta
Baltimore
Boston
Buenos Aires
Calgary
Chicago
Denver
Dubai
Frankfurt
Hong Kong
Honolulu
Houston
Kuala Lumpur
London
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Philadelphia
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San Francisco
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Toronto
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Checkboxes, radios and file input
Checkbox:
Radio:
Checkbox:
Radio:
Checkbox:
Usual checkbox:
Checked
Unchecked
Disabled
Usual radio :
Radio
Radio checked
Disabled
Usual file input :
Simple numbers input:
Decimal:
Currency:
Inline data:
item 1
item 2
item 3
item 4
item 5
item 6
item 7
item 8
item 9
item 10
Inline data (links):
Multiple selects with filter
x
2008-2009 "Mini" Baja
AAPA - Asian American Psychological Association
Agape
AGE-Alliance for Graduate Excellence
AICHE (American Inst of Chemical Engineers)
AIDS Sensitivity Awareness Project ASAP
Aikido Club
Akanke
>
>>
<
<<
x
Academy of Film Geeks
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ACLU
Active Minds
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Clickable label:
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Clickable label:
Grid with labels
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Continuous Integration
HOL - Parts Unlimited WebSite Continuous Integration with Visual Studio Team Services
In this lab we have an application called PartsUnlimited. We want to set up Visual Studio Team Services to be able continuously integrate code into the master branch of code. This means that whenever code is committed and pushed to the master branch, we want to ensure that it integrates into our code correctly to get fast feedback. To do so, we are going to be setting up a Continuous Integration build (CI) that will allow us to compile and run unit tests on our code every time a commit is pushed to Visual Studio Team Services.
Pre-requisites:
-
An active Visual Studio Team Services account
-
An Visual Studio 2015 Update 2 or Visual Studio 2013 Update 5 client
-
Project Admin rights to the Visual Studio Team Services account
Tasks Overview:
1. Import Source Code into your VSTS Account: In this step, you will connect your own Visual Studio Team Services account, download the PartsUnlimited source code, and then push it to your own Visual Studio Team Services account. There are two approaches to doing this: a) Use the Git command line, or b) Use Visual Studio. The Git command line is the cleanest and easiest approach, but it does require some familiarity with the Git command line.
Note: VSTS does support GitHub source code integration for use with VSTS builds, but is outside of the scope of this HOL
2. Create Continuous Integration Build: In this step, you will create a build definition that will be triggered every time a commit is pushed to your repository in Visual Studio Team Services.
3. Test the CI Trigger in Visual Studio Team Services: In this step, test the Continuous Integration build (CI) build we created by changing code in the Parts Unlimited project with Visual Studio Team Services.
1a: Import Source Code into your VSTS Account with Git
Note: Use this to approach to use the Git command line to migrate code from GitHub to VSTS. If you use this approach, skip section 1b.
We want to push the application code to your Visual Studio Team Services account in order to use VSTS Build.
Talking Point: For this lab we are using the VSTS Git project. The next couple of steps will allow you to add the PartUnlimited source to the Git master repository.
1. Clone the repository to a local directory.
Create a parent Working Directory on your local file system. For instance, on a Windows OS you can create the following directory:
C:\Source\Repos
Open a command line (one that supports Git) and change to the directory you created above.
Clone the repository with the following command. You can paste in the URL if you copied it in Step 1. In the example below, the clone will be copied into a directory named HOL. Feel free to use whatever directory name you like, or leave it blank to use the default directory name:
git clone https://github.com/Microsoft/PartsUnlimited.git HOL
After a few seconds of downloading, all of the code should now be on your local machine.
Move into the directory that was just created. In a Windows OS (and assuming you used HOL as the directory name), you can use this command:
cd HOL
2. Remove the link to GitHub.
The Git repo you just downloaded currently has a remote called origin that points to the GitHub repo. Since we won’t be using it any longer, we can delete the reference.
To delete the GitHub remote, use:
git remote remove origin
3. Find the URL to access the VSTS Git repo
First, we need to find the URL to empty Git repository in VSTS. If you remember your account name, and the Team Project name you created, the URL to the default Git repo is easily assembled:
https://<account>.visualstudio.com\<project>\_git\<project>
Alternatively, you can use a web browser to browse to your account, click into your project, and click the Code tab to get to your default Git repository:
https://<account>.visualstudio.com
Additionally, at the bottom of the web page, you will see the two commands that we will use to push the existing code to VSTS.
4. Add the link to VSTS and push your local Git repo
In the local directory from Step 3, use the following command to add VSTS as the Git remote named origin. You can either type the URL you found in Step 4, or simply copy the first command from the VSTS web page.
git remote add origin https://<account>.visualstudio.com\<project>\_git\<project> Now you can push the code, including history, to VSTS:
git push -u origin --all Congratulations, your code should now be in VSTS!
1b: Import Source Code into your VSTS Account with Visual Studio
Note: If you already migrated using 1a (above), skip this step.
Use this approach to use the Visual Studio to migrate code from GitHub to VSTS. We want to push the application code to your Visual Studio Team Services account in order to use Build.
1. First, we need to open Team Explorer.  Connect to the VSTS account project using Visual Studio.
Talking Point: For this lab we are using the VSTS Git project. The next couple of steps will allow you to add the PartUnlimited source to the Git master repository.
3. Navigate to https://github.com/Microsoft/PartsUnlimited/tree/aspnet45 and download the sample as a zip
Note: For this lab is vitally IMPORTANT THAT YOU GET THE 4.5 BRANCH!
4. Create folder and save the download to this folder.
Create Working Directory to the following location:
C:\Source\Repos\HOL
5. Unzip the PartsUnlimited project, when unzipping be sure and “Unblock” the content or the deployment scripts won’t run
6. Clone the repo of your team project to the location where you extracted the sample
Set the Working Directory to the following location:
C:\Source\Repos\HOL
7. Click Open and navigate to the Parts Unlimited Project Solution in Solution Explorer
8. Now we will add the source to the Git repo. Right click on the solution and click Add to Source Control.
7. The Changes windows will appear, add in checkin text and verify the source is ready to be committed. Click on Commit and Push.
9. Once the changes have been committed, click on the Code hub at the top of the page. Verify the source is in the repo.
10. Now it is time to create a local repo to work from, in the Team Explorer, click Branches -> Right click on Master -> New Local Branch from…
11. Add in the repo name (i.e. HOLRepo) and click Create Branch
Note: Publishing back to VSO when cloning a repo allow the build definition to see the new repo for building out the projects.
12. Now we need to make sure the branch is discoverable from build, click on Publish Branch.
2. Create Continuous Integration Build
A continuous integration build will give us the ability check whether the code we checked in can compile and will successfully pass any automated tests that we have created against it.
1.  Click Browse and then select your team project and click Navigate.
3. Once on the project’s home page, click on the Build hub at the top of the page.
4. Click the green “plus” sign, select Visual Studio build definition, and then click Next.
Note: As you can see, you can now do Universal Windows Apps & Xamarin Android/IOS Builds as well as Xcode builds.
5. After clicking the Next button, select HOL Team Project, select HOL Repository, select HOLRepo as the default branch and check Continuous Integration then click Create.
Note: For this HOL, we created another agent queue (HOL Pool) but using the Default or Hosted queue in VSTS will work as well.
Note: We may have multiple repos and branches, so we need to select the correct Repo and Branch before we can select which Solution to build.
6. After clicking the Create button, On the Build tab, and click the ellipsis in the Build Solution pane. Select the PartsUnlimited solution file.
7. On the Visual Studio Build task, now enter the following information to MSBuild Arguments:
/p:DeployOnBuild=true /p:WebPublishMethod=Package /p:PackageAsSingleFile=true /p:SkipInvalidConfigurations=true /p:PackageLocation=$(build.artifactstagingdirectory)
Note: Add all the MSBuild parameters will be one after the other with spaces between them.
8. On the Visual Studio Build task, we want to restore the nuget packages for the PartsUnlimited solution . Check Restore Nuget Packages.
9. Since the PartUnlimited project has passing and failing tests, click Continue on Error checkbox.
Talking Points: If you do not want the build to fail, clicking ”Continue On Error” checkbox will allow the build will partially succeed which can be used in a Release that is part of Continuous Delivery, if necessary.
10. Click on the Trigger tab, to make sure the Build fires off every time there’s a check in, check the Continuous integration (CI) checkbox. Also make sure the filter to include HOLRepo and Batch Changes checkbox is unchecked
Note: To enable Continuous integration in your project, check the Continuous integration (CI) checkbox. You can select which branch you wish to monitor, as well.
11. Select the Copy Files task, and input the Contents value with the following:
*.zip
12. Click Save and give the build definition a name (i.e. “HOL Build”).
3. Test the CI Trigger in Visual Studio Team Services
We will now test the Continuous Integration build (CI) build we created in Task 2 by changing code in the Parts Unlimited project with Visual Studio Team Services.
1. Click Code hub and then select your your repo, HOLRepo. Navigate to Controllers/HomeController.cs in the PartsUnlimited project, then click Edit.
2. After clicking Edit, add in text (i.e. This is a test) to the top of the constuctor of the HomeController.cs file. Once complete, click Save.
3. Click Build hub, then click the Queue link. This should have triggered the build definition we previously created.
4. Click on the Build Number, and you should get a build summary similar to this, which includes test results.
Summary
In this lab, you learned how to push new code to Visual Studio Team Services, setup a Git repo and create a Continuous Integration build that runs when new commits are pushed to the master branch. This allows you to get feedback as to whether your changes made breaking syntax changes, or if they broke one or more automated tests, or if your changes are a okay.


A Little Bit About Me
My name is Anthony Castelli, I originally grew up in Southern Illinois near St. Louis, but went to high school near Chicago. I graduated from the University of Illinois at Urbana-Champaign in the spring of 2015 with a bachelor's degree in Atmospheric Science. While in college I found I liked to program, and tried on numerous occasions to teach myself. However, by the time I graduated I still didn't really feel like I had enough experience with one language to get a job doing something interesting. So, I applied to the Dev Bootcamp program and moved to Redwood City, California to start my new life as a web developer!
Some interesting things about me include:
- I started college in electrical engineering, and while I ended up graduating in a totally different field, I still do a lot of side projects and learning related to EE
- As far back as I can remember I've been interested in plants and gardening, and I try to keep as many plants around me as I can
- Currently, I'm cultivating several kinds of succulents along with some carnivorous plants (A first for me!)
- I really like computer games, and my ideal job would involve making web-based games
- For DBC: Something quirky about me is that I still have my original Gamecube from 2001, and about once a year I pull it out and play through all of Pikmin 1 and 2


ExponentialDecay
A LearningRateSchedule that uses an exponential decay schedule.
Inherits From: LearningRateSchedule
tf.compat.v1.keras.optimizers.schedules.ExponentialDecay
tf.compat.v2.keras.optimizers.schedules.ExponentialDecay
tf.compat.v2.optimizers.schedules.ExponentialDecay
tf.optimizers.schedules.ExponentialDecay
__init__
__init__( initial_learning_rate, decay_steps, decay_rate, staircase=False, name=None )
Applies exponential decay to the learning rate.
When training a model, it is often recommended to lower the learning rate as the training progresses. This schedule applies an exponential decay function to an optimizer step, given a provided initial learning rate.
The schedule a 1-arg callable that produces a decayed learning rate when passed the current optimizer step. This can be useful for changing the learning rate value across different invocations of optimizer functions. It is computed as:
def decayed_learning_rate(step): return initial_learning_rate * decay_rate ^ (step / decay_steps)
If the argument staircase
is True
, then step / decay_steps
is
an integer division and the decayed learning rate follows a
staircase function.
You can pass this schedule directly into a tf.keras.optimizers.Optimizer
as the learning rate.
Example: When fitting a Keras model, decay every 100000 steps with a base
of 0.96:
initial_learning_rate = 0.1 lr_schedule = tf.keras.optimizers.schedules.ExponentialDecay( initial_learning_rate, decay_steps=100000, decay_rate=0.96, staircase=True) model.compile(optimizer=tf.keras.optimizers.SGD(learning_rate=lr_schedule), loss='sparse_categorical_crossentropy', metrics=['accuracy']) model.fit(data, labels, epochs=5)
The learning rate schedule is also serializable and deserializable using
tf.keras.optimizers.schedules.serialize
and
tf.keras.optimizers.schedules.deserialize
.
initial_learning_rate
: A scalar float32
or float64
Tensor
or a
Python number. The initial learning rate.decay_steps
: A scalar int32
or int64
Tensor
or a Python number.
Must be positive. See the decay computation above.decay_rate
: A scalar float32
or float64
Tensor
or a
Python number. The decay rate.staircase
: Boolean. If True
decay the learning rate at discrete
intervalsname
: String. Optional name of the operation. Defaults to
'ExponentialDecay'.A 1-arg callable learning rate schedule that takes the current optimizer
step and outputs the decayed learning rate, a scalar Tensor
of the same
type as initial_learning_rate
.
__call__
__call__(step)
Call self as a function.
from_config
from_config( cls, config )
Instantiates a LearningRateSchedule
from its config.
config
: Output of get_config()
.A LearningRateSchedule
instance.
get_config
get_config()


All Classes
Packages
openconsensus.context
openconsensus.context.propagation
openconsensus.metrics
openconsensus.resource
openconsensus.stats
openconsensus.tags
openconsensus.tags.unsafe
openconsensus.trace
openconsensus.trace.samplers
openconsensus.trace.unsafe


{{ content }}
{% assign user_url = site.url | append: site.baseurl %} {% assign full_base_url = user_url | default: site.github.url %}
{% include question.html text=site.title content="The platform makes it seem easy to rent your listing. However, you may have to pay attention to a few details if you plan to grow a business out of it. Dive in to discover how to strategically make profit with the platfrom." %}


{% extends "testapp/cat_base.html" %} {% load static content_gallery %} {% block content %}
{{ cat.about }}
{% else %}no description
{% endif %}This page demonstrates a preview widget of the django-content-gallery application. The widget displays a preview of the first image related to the object or the no-image icon if there are not images. Click on the preview opens the gallery with all related to the object images. The preview widget is meant for using mainly on detail views.


Welcome to our School
The third edition of the Formulation was developed by our skilled specialists and industry leaders to be a thorough and extensive course that guides you through every step of your skincare formulation journey from beginning to end.
You may start a business selling your goods without taking many courses if you know how to develop natural and organic skincare products that are safe, stable, and effective.
About Us
Furthermore, everything in the course had been expertly designed by our skilled, experienced, and well trained cosmetic scientists and formulators, who have a love for organic and natural beauty and years of professional expertise. You may be 100% sure that you are in excellent hands since a professional cosmetic laboratory manager, a regulatory specialist, specialists in the beauty industry, and an aromatherapist have all contributed their experience and subject-matter expertise to the course.
Admissions
We welcome students of all backgrounds and abilities to apply to our school. To apply, please fill out our online application form and submit it along with your required documents. Our admissions team will review your application and contact you with further instructions.
Academics
Numerous brands have been developed all around our lovely globe as a result of the Formulation, which has already been taken by thousands of students nationwide. The courses cover a wide variety of fundamentals related to the formulation of skincare products, such as formulating a full line of natural and organic skincare products, including oils, serums, balms, butters, creams, lotions, gels, cleansers, exfoliators, toners, and bath and shower products. establishing a beauty brand and adhering to cosmetic laws. This article contains all the information you need to create natural and organic skincare.
Contact Us
If you have any questions or would like to schedule a visit, please contact us using the information below:
- Address: THE BAZAAR BUILDING, MOI AVENUE. 9TH FLOOR, WING B.SUTE 916
- Phone: +254708446730
- Email: abanchiqschoolofformulation@gmail.com


--- layout: post status: publish published: true title: iOS - Change navigation color on iOS author: display_name: hojunbaek login: hojunbaek email<EMAIL_ADDRESS>url: '' author_login: hojunbaek author_email<EMAIL_ADDRESS>wordpress_id: 2280 wordpress_url: http://ezcocoa.com/?p=2280 date: '2014-04-22 06:48:34 +0900' date_gmt: '2014-04-22 06:48:34 +0900' categories: - Network tags: - toolbar - Color - change - navi - set comments: [] ---
We have two solution we can solve like this.
-(UIStatusBarStyle)preferredStatusBarStyle{ return UIStatusBarStyleLightContent; }
That's it.


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The Water My Plants team is comprised of some of the industries most dedicated developers and designers. Each works hard to ensure that your quality of life is improved by saving time and energy when it comes to keeping your plants healthy and fresh!
The Water My Plants app is a designed and built from the ground up by a collaboration of students from different tracks at Lambda School.
Each team member has played a specific role in the app's creation in order to make your life easier and to showcase the various skills learned at Lambda.
For more information about Lambda School please visit the website here.


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Would you like some more information about the community or how to get more involved? Send us a message with the form below and we'll get back to you soon!


|
Runtime
Version 1.0
PULP Kernel Library
|
Macros | |
| #define | PWM_EVT_OFFSET(timer, ch) |
Enumerations | |
| enum | |
Functions | |
| void | gap_pwm_timer_channel_en (numPwmTimerT nTimer, PwmTimerLutChannelT channel) |
| void | gap_pwm_timer_channel_all_en (numPwmTimerT nTimer) |
| void | gap_pwm_timer_channel_disable (numPwmTimerT nTimer, PwmTimerLutChannelT channel) |
| void | gap_pwm_timer_channel_all_disable (numPwmTimerT nTimer) |
| void | gap_pwm_timer_conf (numPwmTimerT nTimer, unsigned int inputSource, unsigned int enableIn, unsigned int FllOrRTC, unsigned int IncThenDec, unsigned int PreScaler) |
| void | gap_pwm_timer_channel_config (numPwmTimerT nTimer, PwmTimerLutChannelT channel, unsigned int thCh, unsigned int actCh) |
| void | gap_pwm_timer_all_channel_config (numPwmTimerT nTimer, unsigned int thCh0, unsigned int actCh0, unsigned int thCh1, unsigned int actCh1, unsigned int thCh2, unsigned int actCh2, unsigned int thCh3, unsigned int actCh3) |
| int | gap_pwm_timer_alloc () |
| void | gap_pwm_timer_free (numPwmTimerT nTimer) |
| void | gap_pwm_timer_event_set (unsigned char nEvt, numPwmTimerT nTimer, PwmTimerLutChannelT channel) |
| void | gap_pwm_timer_int_wait_and_clear (unsigned char nEvt) |
| void | gap_pwm_timer_event_disable (unsigned char nEvt, numPwmTimerT nTimer, PwmTimerLutChannelT channel) |
| void | gap_pwm_timer_event_all_disable () |
| #define PWM_EVT_OFFSET | ( | timer, | |
| ch | |||
| ) |
| void gap_pwm_timer_all_channel_config | ( | numPwmTimerT | nTimer, |
| unsigned int | thCh0, | ||
| unsigned int | actCh0, | ||
| unsigned int | thCh1, | ||
| unsigned int | actCh1, | ||
| unsigned int | thCh2, | ||
| unsigned int | actCh2, | ||
| unsigned int | thCh3, | ||
| unsigned int | actCh3 | ||
| ) |
| int gap_pwm_timer_alloc | ( | ) |
| void gap_pwm_timer_channel_all_disable | ( | numPwmTimerT | nTimer | ) |
| void gap_pwm_timer_channel_all_en | ( | numPwmTimerT | nTimer | ) |
| void gap_pwm_timer_channel_config | ( | numPwmTimerT | nTimer, |
| PwmTimerLutChannelT | channel, | ||
| unsigned int | thCh, | ||
| unsigned int | actCh | ||
| ) |
| void gap_pwm_timer_channel_disable | ( | numPwmTimerT | nTimer, |
| PwmTimerLutChannelT | channel | ||
| ) |
| void gap_pwm_timer_channel_en | ( | numPwmTimerT | nTimer, |
| PwmTimerLutChannelT | channel | ||
| ) |
| void gap_pwm_timer_conf | ( | numPwmTimerT | nTimer, |
| unsigned int | inputSource, | ||
| unsigned int | enableIn, | ||
| unsigned int | FllOrRTC, | ||
| unsigned int | IncThenDec, | ||
| unsigned int | PreScaler | ||
| ) |
| void gap_pwm_timer_event_all_disable | ( | ) |
| void gap_pwm_timer_event_disable | ( | unsigned char | nEvt, |
| numPwmTimerT | nTimer, | ||
| PwmTimerLutChannelT | channel | ||
| ) |
| void gap_pwm_timer_event_set | ( | unsigned char | nEvt, |
| numPwmTimerT | nTimer, | ||
| PwmTimerLutChannelT | channel | ||
| ) |
| void gap_pwm_timer_free | ( | numPwmTimerT | nTimer | ) |
| void gap_pwm_timer_int_wait_and_clear | ( | unsigned char | nEvt | ) |


1
2
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6
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FILL
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EUROPE AND AFRICA
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You must be running the OpenBazaar server for this page to work! Ubuntu users you will need to install 'python-dev', 'libffi-dev', and 'gcc' before running 'requirements.txt' (check the installation instructions to know what I'm talking about.
During development, most of the network will be using the Testnet, so run your servers using the following command: $ python openbazaard.py start --testnet
You can get the code for this page here.
Add your own server location below. You must include http:// and the port :18469. Your port must be open for this to work!
To connect to your remote server, run the OpenBazaar server with the following command: $ python openbazaard.py start -t -r [IP address of your server].
I've tested this with Digital Ocean + Ubuntu 14.04, and it works great.


Multi-Dimensional Aggregation
Apache Spark 2.4.4 / Spark SQL
@jaceklaskowski
/
StackOverflow
/
GitHub
The "Internals" Books:
Apache Spark
/
Spark SQL
/
Spark Structured Streaming
## Agenda 1. [Multi-dimensional rollup Operator](#/rollup) 1. [Multi-dimensional cube Operator](#/cube) 1. [GROUPING SETS SQL clause](#/grouping-sets) 1. [grouping Aggregate Function](#/grouping) 1. [grouping_id Aggregate Function](#/grouping-id)
## Multi-dimensional rollup Operator 1. **rollup** calculates subtotals and totals over (ordered) combination of groups ```scala val inventory = Seq(("t1", 2015, 100), ("t1", 2016, 50), ("t2", 2016, 40)) .toDF("name", "year", "amount") inventory.rollup("name", "year").sum("amount") ``` * **Quiz**: How many records in result set? 1. Advanced variant of **groupBy** with higher efficiency 1. Creates **RelationalGroupedDataset** * Supports untyped, Row-based **agg** * Shortcuts for _the usual suspects_, e.g. **avg**, **count**, **pivot** 1. Switch to [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * [rollup Aggregation Operator](https://jaceklaskowski.gitbooks.io/mastering-spark-sql/content/spark-sql-multi-dimensional-aggregation.html#rollup)
## Multi-dimensional cube Operator 1. **cube** is similar to **rollup** but calculates subtotals and totals over **all combinations** of groups ```scala val inventory = Seq(("t1", 2015, 100), ("t1", 2016, 50), ("t2", 2016, 40)) .toDF("name", "year", "amount") inventory.cube("name", "year").sum("amount") // note cube (not rollup) ``` * **Quiz**: How many records in result set? 1. Advanced variant of **groupBy** with higher efficiency 1. Creates **RelationalGroupedDataset** 1. Switch to [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * [cube Aggregation Operator](https://jaceklaskowski.gitbooks.io/mastering-spark-sql/content/spark-sql-multi-dimensional-aggregation.html#cube)
## GROUPING SETS SQL clause 1. Spark SQL supports **GROUPING SETS** in SQL only 1. Used in GROUP BY allows to specify more than one GROUP BY option in the same record set * Equivalent to several GROUP BYs connected by UNION ```scala Seq(("a1", "b1", 3), ("a1", "b2", 7), ("a2", "b2", 5)) .toDF("a", "b", "c") .createOrReplaceTempView("t1") val q = sql( "SELECT a,b, SUM(c) FROM t1 GROUP BY a, b GROUPING SETS (a,b)" ) ``` **Quiz**: How many records in result set? 1. Switch to [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * [GROUPING SETS SQL Clause](https://jaceklaskowski.gitbooks.io/mastering-spark-sql/content/spark-sql-multi-dimensional-aggregation.html#grouping-sets)
## grouping Aggregate Function 1. **grouping** - aggregate function that indicates whether a specified column in a GROUP BY list is aggregated or not ```scala workshops .cube("city", "year") .agg(grouping("city"), grouping("year")) .sort($"city".desc_nulls_last, $"year".desc_nulls_last) ``` * returns 1 for aggregated or 0 for not aggregated 1. Switch to [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * [grouping Aggregate Function](https://jaceklaskowski.gitbooks.io/mastering-spark-sql/content/spark-sql-functions.html#grouping)
## grouping_id Aggregate Function 1. **Exercise** (hard): Can you guess yourself? 1. Switch to [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * [grouping_id Aggregate Function](https://jaceklaskowski.gitbooks.io/mastering-spark-sql/content/spark-sql-functions.html#grouping_id)
## Recap 1. [Multi-dimensional rollup Operator](#/rollup) 1. [Multi-dimensional cube Operator](#/cube) 1. [GROUPING SETS SQL clause](#/grouping-sets) 1. [grouping Aggregate Function](#/grouping) 1. [grouping_id Aggregate Function](#/grouping-id)
# Questions? * Read [The Internals of Apache Spark](https://bit.ly/apache-spark-internals) * Read [The Internals of Spark SQL](https://bit.ly/spark-sql-internals) * Read [The Internals of Spark Structured Streaming](https://bit.ly/spark-structured-streaming) * Follow [@jaceklaskowski](https://twitter.com/jaceklaskowski) on twitter * Upvote [my questions and answers on StackOverflow](http://stackoverflow.com/users/1305344/jacek-laskowski)


A software engineering for Data Science project
The purpose of this project has been to follow a typical software life cycle model from beginning through
end, while improving an existing machine learning model to classify Amazon reviews using sentiment analysis.
OpenUp Agile methodology has been followed. The wrapping of the final optimized model in a user-friendly
interface is discussed, to allow quick and easy positive/negative predictions to new review text.
The goal of the project has been to improve the accuracy and reliability of the existing machine learning model by following a typical software life cycle process. The original model made predictions with an accuracy of ~60%, which is no better than random guessing when taking into account the spread of the data. The original model exclusively predicts a rating of 1.0, which accounts for 60% of the entire dataset, and therefore results in the 60% accuracy.
For our model, target labels have been transformed into binary (positive and negative) sentiment. We have improved the overall accuracy, and achieved good performance on precision, recall, F1 and AUC (area under the ROC curve).
For the term project, our solution architecture is limited to MS Azure ML Studio. We delivered our improved model and outputs via ML Studio directly.
In addition, we have drawn out what the architecture might look like for a production deployment, where we would have users interact with a simple UI attached to API endpoint. In the UI, users can input review text and get a “pos/neg” sentiment returned. We would have our reference data in Azure storage and use ML Studio to build the model. The model and API would be deployed using an AKS (Azure Kubernetes Service), since we want to have a real-time interaction and response.
For more information about architecture and designs: https://hrahhrah.github.io/Architecture_Design.pdf
As stated previously, we researched and experimented with various two class algorithms and data processing steps such as feature hashing and text preprocessing. After extensive testing and evaluation, we chose a model using the Decision Jungle algorithm with an SQL transformation to split the reviews into binary classes, and the text preprocessing, Extracting Key Phrases From Text, Latent Dirichlet Allocation and SMOTE modules from Azure.
Our final model metrics:
| Risk Number | Risk | Likelihood (0-1) |
Impact (1-10) |
Risk Score | Mitigation |
|---|---|---|---|---|---|
| 1 | Model process failure | 0.1 | 10 | 1 | MS Azure ML has high availability, the likelihood of a system failure is low and any downtime would be minimal. |
| 2 | Model scoring failure | 0.2 | 8 | 1.6 | Depending on the algorithm, some models are more likely to degrade over time than others. In addition, some algorithms do not provide details about the score, and incorrect predictions may be difficult to explain. This risk will be taken into account during the model selection and evaluation steps. |
| 3 | Data input (user error) | 0.6 | 4 | 2.4 | Users inputting non-text or non review data will be scored unless error handling is built into the model. This risk is not captured in the requirements and any documentation created or user manuals should explain how to use the product. |
Github: https://github.com/MattAgone/DSCI644-Team-B-Project Trello: https://trello.com/b/UvRzi2Zz/dsci644-team-b-term-project Architecture and designs: https://hrahhrah.github.io/Architecture_Design.pdf Original project proposal: https://hrahhrah.github.io/Project_Proposal.pdf Presentation Slides: https://hrahhrah.github.io/Presentation.pdf Final Report: https://hrahhrah.github.io/Final_Report.pdf


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Multi - Utility Complex
Welcome to Info Park "The all new way of living the Indorii.. life."
Understanding the needs of people for accessing the highly customized Amenities at a single place.
The DV World.com is all set to serve Indore with world class Township filled with never lasting peace and joy spreading Amenities at your own Info Park.
Info Park is a housing project that lets you to have your dream home concept from mind to reality.
*Actual site may vary from the above picture.


Facing a 4th down in the first quarter, QB Deshaun Watson let the ball fly to DeAndre Hopkins who was clearly grabbed by Ravens CB Marlon Humphrey, but yet no flag was thrown.
A challenge flag was thrown and just like every other time, the ruling stood anyway despite the evidence.


baitfindR
is an R package that extends the Yang and Smith orthology inference pipeline (2014 Mol. Biol. Evol. 31:3081-3092) to find appropriate loci for use as baits in sequence capture.
Most functions are wrappers for other external (to R) programs, so these must be installed and on the users’ PATH
. baitfindR
requires all of the dependencies for the Yang & Smith workflow.
A docker image is available that includes the latest version of baitfindR
and all required, properly versioned dependencies.
baitfindR
works best in conjunction with drake to manage a bait-finding workflow. Please see the example project.


We’ve just published a paper on how a protein’s ability to form hydrogels allows cells to sense and respond to stress.
A bit of background
Like us, cells react to stresses like heat, starvation, and poison. All these stresses cause clumps of molecules to form inside cells. This clumping—aggregation—looks like damaged proteins sticking together. But in our last paper, we showed that instead, these clumps look like they’re a cellular response, not just signs of damage. (See our blog post on it.)
We’re going to go back to the Cellular Institute with its manicured grounds and main building. Happy workers (proteins) go about their often inscrutable business.
The Institute is constantly dealing with awful changes in its environment. The mission is to survive, even to keep growing, during those tough times.
The picture that came out of our earlier study suggested that, overall, the clumping in cells was an organized, reversible process, consistent with a coordinated effort to survive tough times.
But what about for specific proteins? How can you tell if clumping is stress-inflicted damage or an adaptive response? A key test is to see what happens when you stop the clumping during stress. Stopping damage during stress should make cells healthier. Stopping an adaptive stress response, on the other hand, would make cells sicker.
Doesn’t sound too complicated
Easy for you to say, headline! In our study, we had to first find a protein that formed clumps during stress, then figure out how to control its clumping without screwing up a bunch of other stuff (which involved quite a bit of figuring out why it formed clumps, physically, and which bits of the molecule were responsible).
Doing all that required working on the protein in isolation in a test tube, so then we had to put the protein back into cells to see if it worked the same way. Finally, we could expose those cells to stress and see how they responded.
What did we do?
We picked out a specific protein that formed clumps during stress: poly(A)-binding protein, which is nicknamed Pab1 in baker’s yeast, our beautiful and hardy model organism. (Relatives of Pab1 are found in essentially every cell that has a nucleus, from plants to parasites to people.) We purified Pab1, put it in a dish, and exposed it to the same intracellular conditions that follow stress and are thought to cause clumping, heat and pH.
Yeast cells like to live in acidic (low-pH) environments, but keep their insides at neutral pH. When cells get stressed, their internal pH drops, becoming more acidic. That, others have argued, might cause clumping during non-heat stresses like starvation.
What did we find?
First, we discovered that Pab1 “clumping” was something rather specific and wonderful: phase separation into hydrogel droplets.
Phase separation is like a flash mob. Under certain conditions, suddenly, from a mixture of two types of molecules, one type surges together, separating from the other (“demixing”) like oil droplets from water. Bunches of recent studies have shown proteins doing this trick, usually under exotic conditions.
Pab1 phase-separates in response to both pH and temperature, right at the stress-associated ranges of each one. It’s one of the coolest results in the paper: Pab1 is an extraordinarily sensitive sensor of stress, particularly temperature. You might be surprised to know that how yeast cells sense temperature has been a bit of mystery…
Back into the cell
We figured out a way to make Pab1 phase separate at lower or higher temperatures. Remember our key test? That let us make cells with proteins that couldn’t get together during stress. And guess what we found?
Cells with Pab1 molecules that didn’t stick together during stress couldn’t grow during stress. This happened during heat shock, and during starvation, too!
Ultimately, it’s about fitness
There’s been a bunch of beautiful work on phase separation, hydrogel formation, and other quinary phenomena. (Quinary, a term introduced by Stuart Edelstein, refers to a step beyond traditional quaternary structures to structures involving undefined numbers of molecules.) But showing that these phenomena are actually good for cells, as opposed to just gorgeous curiosities, has been challenging. Pab1 delivered for us!
Dive in!
This paper was five years from initial discovery to publication. There’s a lot in there (though the reviewers wanted oh so much more!). For experts, our results are full of surprises. First author Josh has blogged about some of the biophysical aspects and co-first author Chris has blogged about the in vivo aspects.
And there’s much more to do. How, exactly, does Pab1’s phase separation help the cell? We share some ideas in the paper. How, exactly, does Pab1 sense temperature and pH? Watch this space as the story continues to, well, come together.


void FatalError( word errorCode);
This routine causes a fatal error, leaving
errorCode
for the debugger.
word FileClose( /* returns error */ FileHandle fh, /* File to close */ Boolean noErrorFlag); /* Set if app. can't handle * errors */
This routine closes an open byte file. If the routine succeeds, it returns zero. If the routine fails and
noErrorFlag
is
false
(i.e., zero),
FileClose()
returns a member of the
FileError
enumerated type. If the routine fails and
noErrorFlag
is
true
(i.e., non-zero), the routine will fatal-error.
Warnings: The
noErrorFlag
parameter should be
true
only during debugging.
Include: file.h
word FileCommit( /* returns error */ FileHandle fh, Boolean noErrorFlag); /* set if can't handle errors */
FileCommit()
forces the file system to write any cached information about a file to the disk immediately. If it is successful, it returns zero. If it fails, it returns an error code. If the routine fails and
noErrorFlag
is
true
(i.e. non-zero), the routine will fatal-error.
Warnings: The
noErrorFlag
parameter should be
true
only during debugging.
Include: file.h
DiskHandle FileConstructFullPath( char * * buffer, /* Path string is written here */ word bufSize, /* Length of buffer (in bytes) */ DiskHandle disk, /* Disk or standard path; null for * current path */
const char * tail, /* Path relative to handle */ Boolean addDriveLetter); /* Should path begin with drive * name? */
This routine translates a GEOS directory specification into a complete path string. It writes the string into the passed buffer. The directory is specified by two arguments: The first,
disk
, is the handle of a disk; this may also be a standard path constant. (If a null handle is passed, the current working directory is used.) The second,
tail
, is a pointer to the character string representing the tail end of the path.
FileConstructFullPath()
appends this relative path to the location indicated by the disk handle. It then constructs a full path string, beginning with that disk's root directory, and writes it to the buffer passed. If
addDriveName
is
true
(i.e. non-zero), the path string will begin with the drive's name and a colon. The pointer pointed to by
buffer
will be updated to point to the end of the constructed string.
Examples: The following call to
FileConstructFullPath()
might yield these results:
Sample call to FileConstructFullPath()
/* Here we find out the full path of a subdirectory of the DOCUMENT directory */
DiskHandle documentDisk; char pathBuffer[256]; /* long enough for most paths */ char *pB = &pathBuffer;
documentDisk = FileConstructFullPath(&pB, /* pointer to pointer */ 256, /* Length of buffer */ SP_DOCUMENT, /* This can be a disk or * standard path */ "MEMOS\\JANUARY", /* In C strings, the * backslash must be * doubled */ TRUE); /* Prepend drive name */
/* If the standard paths are set up in the default configuration, "documentDisk" * would be the handle of the main hard drive, and pathBuffer would contain a * string like "C:\GEOWORKS\DOCUMENT\MEMOS\JANUARY" */
See Also: FileParseStandardPath()
.
Include: file.h
word FileCopy( /* returns error */ const char * source, /* Source path and file name */ const char * dest, /* Destination path and file name */ DiskHandle sourceDisk, /* These handles may be Standard */ DiskHandle destDisk); /* Path constants, or null to indi- * cate current working directory */
This routine makes a copy of a file. The source and destination are specified with path strings. Each string specifies a path relative to the location specified by the corresponding disk handle. If the handle is a disk handle, the path is relative to that disk's root. If the disk handle is a standard path constant, the path string is relative to that standard path. If the disk handle is null, the path is relative to the current working directory.
If
FileCopy()
is successful, it returns zero. Otherwise, it returns one of the following error codes:
See Also: FileMove()
.
Include: file.h


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According to NBC News, the 95-year-old former president was taken to Emory University Hospital in Atlanta and will have “a procedure” performed Tuesday.
Mr. Carter will have a procedure done to relieve pressure on his brain, which NBC described as the result of “bleeding due to his recent falls.”
A spokeswoman told the Associated Press that Mr. Carter is resting comfortably, and is with his wife, Rosalynn.
The Rev. Tony Lowden, Mr. Carter’s pastor at Maranatha Baptist Church in Plains, Georgia, where the former president still teaches Sunday school, told AP on Monday night that the ex-president was hospitalized after “a rough day.”
“We just need the whole country to be in prayer for him,” Mr. Lowden said in a telephone interview.
Mr. Carter is the oldest surviving president in American history.
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I am an adventurous homebody. I am a friendly introvert. I love order and also chaos. Sometimes I need to go to the mountains, sometimes the ocean. I like to read, travel, do outdoors stuff, and make things. I currently live in Portland, Oregon with my husband, our two kids, a feral housecat, and four chickens. I have spent most of my working life in the hospitality industry waiting tables and a few other guest-facing roles, as well as some admin and finance work. I was also fortunate enough to stay home with my two children from my son's birth until my daughter went to kindergarten. My current role is processing payroll in the finance department of the Portland Hilton. I'm ready to do something new. I am learning to code at Epicodus because I want to learn a new skill which is both marketable professionally and interesting personally. I enjoy language and logic, so it's working out great.


I've always believed that art and technology complimented one another, and found myself, even from a very young age,
pursuing both as hobbies.
Throughout my college career I took advanced art courses alongside my computer science curriculum, and was often asked
by classmates why I carried around an art portfolio when I planned to major in Computer Science.
But there existed challenges in both mediums that I felt were worth the results of my hard work, and it felt satisfying to produce things that could either inspire
others or assist them in their every day lives. I always felt that being able to put an artistic touch on a program helped with appealing
to an audience, which I feel can be just as important as the program's function itself.
I've since graduated with my B.S. in Computer Science along with a B.A. in Spanish Language, and I am excited to see what else I can create for the world.
I really enjoy working on a team, but I do find independent projects comfortable as well. One of my biggest projects coming out of college, Digital Farmington Map, was done over the course of a semester with three other classmates, and I believe that our teamwork was essential to creating a product that our clients were proud of. I think it's incredibly important to be adaptable no matter the circumstances, and it helps me feel like a more effective team member if I am able to tackle group problems with a flexible mind.
My Projects


About Me
I’m nullfd and I like to hack something! By day, I’m a pentester, where my work involves breaking stuffs.
-
You can reach me at:
-
Some of my contributions (cves)
I’m nullfd and I like to hack something! By day, I’m a pentester, where my work involves breaking stuffs.
You can reach me at:
Some of my contributions (cves)


Let's find out which triangles we'll get when we input some values.
Let's begin!
Enter length1:
Enter length2:
Enter length3:


| local_ {withr} | R Documentation |
These are constructors for with_...
or local_...
functions.
They are only needed if you want to alter some global state which is not
covered by the existing with_...
functions, see withr
for an overview.
local_(set, reset = set, envir = parent.frame(), new = TRUE, dots = FALSE) with_(set, reset = set, envir = parent.frame(), new = TRUE)
set |
|
reset |
|
envir |
|
new |
|
The with_...
functions reset the state immediately after the
code
argument has been evaluated. The local_...
functions
reset their arguments after they go out of scope, usually at the end of the
function body.
[function(new, code, ...)]
A function with at least two arguments,
new
: New state to use
code
: Code to run in that state.
If there are more arguments to the function passed in set
they are
added to the returned function. If set
does not have arguments,
or new
is FALSE
, the returned function does not have a code
argument.
with_(setwd) global_stack <- list() set_global_state <- function(state, msg = "Changing global state.") { global_stack <- c(list(state), global_stack) message(msg) state } reset_global_state <- function(state) { old_state <- global_stack[[1]] global_stack <- global_stack[-1] stopifnot(identical(state, old_state)) } with_(set_global_state, reset_global_state)


reload the Application(without changing the url)
Hello
About
Hello
Walk the dog
Pay bills
Make dinner
Code for one hour


creating a discord bot
Discord Bots
This section desbribes the steps required to create a new discord application so we can associate Qilbot to it.
Application Creation
- Browse to https://discordapp.com/developers/applications
- Click
Create New Application
Creating an bot
- Click
My Applications
- Give the Application a name (this will be the name of the Bot).
- Click
Create Application
.
- This is your application
ID
you will need this for later.
- Application Id is used to add your bot to a discord server.
- This is the secret for you application dont share this with anyone.
- Click
Create a Bot user
- An dialog will open asking if you are really sure you want todo this just say yes.
- Once the bot is created click the
Reveal Token
link
- Make note of the token presented to you.
- This token is what we pass to
qilbot
as the token parameter.


Basic
Signup
Login
Logout, Me, Change Password, Update Metadata
Session
Identity and Login ID
User Verification
Forgot Password
Single sign-on (SSO)
Auth UI
Microservice
Fetch for calling microservices
Asset
Upload and View Asset


This is a paragraph
Hi MyUsernameHere
Goal: $2000 Goal Date: 22/08/2015 Amount donated: $1000
Click HERE to donate!
There are x users and x guests online
Online users: personW, personX, personY, personZ
One fine body…


download_data_files
(data_dir
:str
='data'
, overwrite
=False
, progbar
=True
, use_int32
=True
)
Downloads the data from google drive.
- data_dir: relative path to where data is downloaded.
- overwrite: If files exist they will not be downloaded again. NB/todo: the function does not check if there is a complete download of the file.
- progbar: simple progbar that says how much data that has been downloaded for each file.
- use_int32: The interaction data is a very large file and is not possible to load into memory in some cases (e.g. google colab). Therefore, we recommend using the int32 data type when loading the data.


The Groove Life
The place to be when all you want to do is listen to 29 seconds of a song....
Find tunes


--- title: "How can gender and income affect the election?" author: "Meijia Ming" date: 2020-09-24T21:13:14-05:00 categories: ["R"] tags: ["R Markdown", "plot", "regression"] ---
This paper investigate how gender and income affect the 2019 election and find that the party should care more about women’s requests since they participate more in the election than men. in addition, the income of people who participate in the election is normally distributed.
The objective of the paper is to study how gender and income affect the election via some statistical analysis.
We give the histogram of income and bar chart of gender and find that the income is normally distributed and more women than men participate in the election.
The data set used here is the 2019 Canadian Election Study online survey data with 37882 observations and 22 variables. Here we only consider two of them: gender and income and see the distribution of them. In addition, for the variable income, we only consider people with income of less than $100000.
decon <-
decon%>%
filter(income<100000)
decon <-
decon%>%
select(income,gender)
decon%>%
ggplot(aes(x=gender))+
geom_bar()
We first give the distribution of gender as above shows. We see more women than men in this plot and we in this way conclude that women are more likely to participate in the election and if the party want to iwn in the election, they should care more about the requests from women.
decon%>%
ggplot(aes(x=income))+
geom_histogram()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
We then give the distribution of income less than $100000. Here we only consider people with income less than $100000 since only those people are representative and people with too high salaries are not representative. From the distribution, the income is closed to be normally distributed centred at about $5000 even a little left skewed.
Here the data set is derived via online survey and in this way, there may be non-response error. In addition, there may be some other factors that may also affect the election but are not included in the 22 variables. In the further studies, we should include as many as the related factors.
Paul A. Hodgetts and Rohan Alexander (2020). cesR: Access the CES Datasets a Little Easier.. R package version 0.1.0.
R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686


Thank you for your submission. We appreciate that you're making
sure the pet has a safe home.
We will get back to you in the next
couple of days with your next steps. In the meantime, if you need help
caring for the pet, do not hesitate contacting us at<EMAIL_ADDRESS>or
taking the pet to a partnered animal shelter.


Before you can launch any appliances via this server, you need to register. Registering will allow you to launch and monitor appliances you have launched as well as store your credentials for convenience.
Login or register via one of the sites listed below:


We enhance cats!
- benchmark 24/7 interfaces
- enable wireless supply-chains
- enhance synergistic e-commerce
- engage revolutionary bandwidth
- visualize distributed users
- implement vertical applications
- engineer out-of-the-box infomediaries
- redefine sticky paradigms
- scale innovative methodologies
- transition visionary web-readiness


DocumentationWorker
public struct DocumentationWorker : DocumentationWorkerProtocol, AutoGenerateProtocol
Generates documentation per product you per product you pass to it. the docs are in the docs/<#productName#>
folder
To view the generated docs you do open docs/<#productName#>/index.html
The documentation is still very basic for now. Thanks for updating if you feel like it :).
-
Undocumented
Declaration
Swift
public static let shared: DocumentationWorkerProtocol
-
Performs
jazzy -x -scheme,Highway-Package -m <#product#> --output docs/<#product#>
for every product in the swift packageDeclaration
Swift
public func attemptJazzyDocs(in folder: FolderProtocol, packageName: String, for products: Set<SwiftProduct>) throws -> [String]
Parameters
folder
the folder containing the swift package and the sources
packageName
the package the requested products belong too to generate docs for
products
the selection of the products from the package to generated docs for


Conventional Transmitter Plugin
Purpose
This plugin allows HamCockpit to use a conventional CAT-controlled transceiver as a transmitter. Most radios used by the Hams fall in this category, including the ICOM, Yaesu, Kenwood and Elecraft transceivers.
Any combination of the receiver and transmitter is allowed, for example you could use a wideband Afedri SDR as a receiver and your regular transceiver as a transmitter, or use the same transceiver as both receiver and transmitter. In either case, as long as the Split mode is disabled, the frequencies of the receiver and transmitter are synchronized both ways. In particular, this allows you to tune your SDR receiver by spinning the dial knob of your transceiver.
When Split is enabled, the receiver and transmitter frequencies are changed independently. If you are using the Waterfall Plugin, you can set the RX and TX frequencies by clicking on the waterfall display or on the band map.
Note
This plugin makes use of the OmniRig engine. Make sure that you have the latest version of OmniRig installed on your system.
Settings
OmniRig Radio
Select to use Rig1 or Rig2 in OmniRig for CAT control.
Status Bar
The Conventional Transmitter plugin shows an icon on the status bar that indicates the current status of the CAT control interface. Place the mouse cursor over the icon to see information on the tooltip. Click on the icon to open the OmniRig setup dialog.


Introduction
The purpose of this website is to visualize and analyze government expenditure in the sectors of Military, Healthcare, and Education for eleven different countries. The selected countries include Australia, Canada, France, Germany, Italy, Japan, South Korea, Mexico, Turkey, the United Kingdom, and the United States of America. These countries are all members of the G20, considered economic world leaders, and were selected due to their influence on the global economy and the availability of publicly available data on government spending.
Data on military expenditure, population, and GDP was retrieved from the World Bank Open Data database. Data on healthcare expenditure was retrieved from the Organisation for Economic Co-operation and Development (OECD) iLibrary, using "Health Spending" as an indicator. Data on education expenditure was retrieved from the UNESCO Institute for Statistics database, using "Government Expenditure on Education US$ (millions)" as an indicator.
The analysis is divided into four categories:
- Military expenditure compared to healthcare and education expenditure
- Expenditure as a percentage of GDP
- Expenditure per capita
- Fastest growing countries in terms of healthcare and education expenditure
Citations
- World Bank Open Data, https://data.worldbank.org, (Accessed on 17 July 2019).
- OECD (2019), Health spending (indicator), doi: 10.1787/8643de7e-en, (Accessed on 17 July 2019).
- UNESCO Institute for Statistics (UIS) database, http://data.uis.unesco.org, (Accessed on 20 July 2019).


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