1-Bit Album Covers
ＭＡＣプラス - フローラルの専門店
Eartheater - IRISIRI
Author & Punisher - Ursus Americanus
Skoddie - Femininity: A Expression Thereof
Windy & Carl - Depths
Xiu Xiu - Plays The Music Of Twin Peaks
Them Are Us Too - Remain
The Threshold HouseBoys Choir – Form Grows Rampant
Cornelius - Fantasma
Drum & Lace - Midnight Roses
Guns N' Roses - Appetite For Destruction
Jlin - Black Origami
Skinny Puppy - Too Dark Park
Tristan Perich - 1-Bit Symphony
Psychic TV - Trip Reset (In Memory)
Emerson, Lake & Palmer - Brain Salad Surgery
Boy Harsher - Yr Body is Nothing
The Legendary Pink Dots - The Tower
Chemlab - Burnout at the Hydrogen Bar (Request)
FKA twigs - LP1
Nmesh - Nu.wav Hallucinations
Death Grips - Exmilitary
Blink 182 - Enema of the State
Ansome - British Steel
Pink Floyd - Dark Side of the Moon
TR/ST - The Destroyer - 1 (Request)
Nirvana - Nevermind
Throbbing Gristle - Part Two: The Endless Not
Ultrademon - Chamber Music
Depeche Mode - Black Celebration
Neutral Milk Hotel - In The Airplane Over The Sea
Hijokaidan - Romance (Request)
Flogging Molly - Drunken Lullabies
HTRK - Psychic 9-5 Club
Metallica - Master of Puppets
Björk - Vespertine
Cassiopeia Tomb Sturm - Music for The (Request)
Orville Peck - Pony
The Dead Milkmen - Eat Your Paisley! (Request)
Oneohtrix Point Never - R Plus Seven
Coil - Scatology
Mr. Bungle (Request)
Cocteau Twins - Treasure
Coil - Horse Rotorvator
Type O Negative - October Rust


| Class and Description |
|---|
| Client
Models a client.
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| Class and Description |
|---|
| Client
Models a client.
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| Class and Description |
|---|
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| BaseClientKeys
Created by Jeff Gaynor
on 10/20/16 at 12:57 PM |
| Client
Models a client.
|
| ClientApprovalKeys
Created by Jeff Gaynor
on 4/25/12 at 3:07 PM |
| ClientKeys
Created by Jeff Gaynor
on 4/25/12 at 3:06 PM |
| ClientProvider
Created by Jeff Gaynor
on 4/4/12 at 2:54 PM |
| Class and Description |
|---|
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| BaseClientKeys
Created by Jeff Gaynor
on 10/20/16 at 12:57 PM |
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClientKeys
Created by Jeff Gaynor
on 10/20/16 at 12:57 PM |
| ClientApprovalKeys
Created by Jeff Gaynor
on 4/25/12 at 3:07 PM |
| ClientKeys
Created by Jeff Gaynor
on 4/25/12 at 3:06 PM |
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| ClientApprovalKeys
Created by Jeff Gaynor
on 4/25/12 at 3:07 PM |
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| BaseClientKeys
Created by Jeff Gaynor
on 10/20/16 at 12:57 PM |
| Client
Models a client.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| BaseClientKeys
Created by Jeff Gaynor
on 10/20/16 at 12:57 PM |
| Client
Models a client.
|
| ClientKeys
Created by Jeff Gaynor
on 4/25/12 at 3:06 PM |
| JSONUtil
Budding collection of useful tools for creating complex JSON objects.
|
| TransactionStore
A store for delegation transactions.
|
| Class and Description |
|---|
| BaseClient
Created by Jeff Gaynor
on 5/12/16 at 4:32 PM |
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| Client
Models a client.
|
| Class and Description |
|---|
| JSONUtil
Budding collection of useful tools for creating complex JSON objects.
|
| Class and Description |
|---|
| JSONUtil
Budding collection of useful tools for creating complex JSON objects.
|
Copyright © 2022. All rights reserved.


Great Forest [al27], forest, in Mandoria, peasants: 100
Last updated Turn #148
Great Forest [al27], forest, in Mandoria, peasants: 100
------------------------------------------------------------------------
1: Longa [f7j], refugee, with one peasant, went west.
3: Pack of wolves [bq2d], wolves, number: 7, arrived from the west.
11: Stack of cyclops [hh3k], cyclops, number: 2, arrived from the west.
13: Pack of wolves [bq2d], wolves, number: 8, went east.
13: Stack of cyclops [hh3k], cyclops, number: 2, went east.
14: 't Resorreke [w1u], refugee, arrived from the east, accompanied by:
14: City boy [c5x], Imperial Empire, prisoner
16: Stack of cyclops [iu5g] loots the countryside.
17: 't Resorreke [w1u], refugee, went west, accompanied by:
17: City boy [c5x], Imperial Empire, prisoner
30: It has stopped raining.
Routes leaving Great Forest:
North, to Ocean [ak27], Crystal Sea, 2 days
East, forest, to Great Forest [al28], 8 days
South, forest, to Great Forest [am27], 8 days
West, forest, to Great Forest [al26], 8 days
Inner locations:
Yew grove [ad3t], yew grove, hidden, 1 day, owner:
Centaur [jj8p], centaurs, number: 14
Seen here:
Stack of cyclops [iu5g], cyclops, number: 14


Millman left devastated after Canada loss
by Ian McCulloughA devastated John Millman has shouldered the blame for Australia’s Davis Cup quarter-final defeat following his singles rubber defeat to Vasek Pospisil.
The Queenslander was a late addition to the side to face the Canadians after Nick Kyrgios pulled out of the match due to a collarbone injury an hour before the start of the tie.
Millman began well but squandered a break and then two set points in a tense first-set tiebreak on his way to a 7-6 (9-7) 6-4 defeat as Canada got off to the perfect start.
The 30-year-old was inconsolable after leaving the Centre Court at the Caja Magica in Madrid and sat with a towel over his head for several minutes as he tried to take in the defeat.
“I had a few hours to prepare, but there’s no excuses from my end,” Millman said.
“That performance is on me. I couldn’t have been better prepared from Lleyton and the coaching staff. Yeah, that’s on me.
“There were a few points in it but In the best-of-three set format, that can happen.
“Obviously, it’s a little more disappointing when you have those chances and you don’t take them but this one just hurt a lot.”
Alex de Minaur produced yet another brilliant display to underline his credentials once more as one of the world’s most exciting players with victory over fellow young gun Denis Shapovalov.
The 20-year-old Australian No.1 came from a set down to win 3-6 6-4 7-5 to level the tie at 1-1 and spark wild celebrations from the Australian bench.
However, it proved to be short lived and John Peers and Jordan Thompson lost the doubles to Shapovalov and Vasek Pospisil in straight sets to hand Canada a 2-1 victory.
De Minaur, who has now won 41 matches in 2019 said the win gave him mixed feelings as it was in a losing cause.
“I was going to do everything in my power to try to give myself chances and fight till the end, and, you know, that’s what I did,” de Minaur said.
“It ended up going my way and it was good to turn that one around but the team winning is the most important thing.”
-AAP


Nashville Affordable Housing
A Wond'ry housing application
Housing Preferences
Rent Maximum:
Rent Minimum:
Number of Rooms:


My Galery
This is the end of the content, I'm looking forward to learn more about how cloud computing works. In my very field, which is Aritifial Intelligence, Machine Learning and Deep Learning, cloud computing is required for resource to build, run, and maintain model to perform prediction or anything that is use to perform using this model.


Matrix operations¶
Learning objectives:
- Understand the dimensional requirements for matrix multiplication
- Understand and be able to execute elementwise arithmetric operators in NumPy
- Become even more comfortable with vectors and matrices in NumPy
Quick reference¶
Here we provide a summary the important commands that have already been introduced.
| NumPy command | Note |
|---|---|
| a.ndim | returns the num. of dimensions or the rank |
| a.shape | returns the num. of rows and colums |
| a.size | returns the num. of rows and colums |
| arange(start,stop,step) | returns a sequence vector |
| linspace(start,stop,steps) | returns a evenly spaced sequence in the specificed interval |
Dimensional requirements for matrix multiplication¶
Important
In order for the matrix product (\(A \times B\)) to exist, the number of columns in \(A\) must equal the number of rows in \(B\).
Basic properties of matrices¶
It is convention to represent vectors as column matrices. We are explicit in this representation in that we define two axes even through the number of columns is only one.
A column matrix in NumPy.
>>> x = np.array([[3,4,5,6]]).T
Note
Again notice the pair of double brackets
The .T
indicates a transpose operation. In the case of
vectors we go from a rowwise representation to a columnwise one and
vice versa. We will spend more time on transposes in the next
section.
A row matrix in NumPy.
>>> x = np.array([[3,4,5,6]])
Since this is linear algebra essentials with the goal of preparing you for a learning experience in data science, lets introduce a running example that will help ground much of the notation and concepts.
Machine learning can be roughly split into two types of learning problems.
- Supervised learning - learn a mapping from inputs \(\mathbf{X}\) to outputs \(y\)
- Unsupervised learning - given only \(\mathbf{X}\), learn interesting patterns in \(\mathbf{X}\)
An example of this is to predict total snowfall, which would be a continuous \(\mathbf{y}\). When we use a feature matrix \(\mathbf{X}\) to predict \(\mathbf{y}\) it is an example of supervised learning. Our feature matrix would be a number of column vectors \(\mathbf{x}\) horizontally stacked together to form \(\mathbf{X}\). Examples of these features might be: the elevation, latitude, average winter temperature, historical snowfall data and more..
If we wanted to discover patterns in \(\mathbf{X}\) then we could take an such as clustering, which would be an example of unsupervised learning. Patterns in this case would likely correspond to mountain ranges and and meteorlogical or oceananic events..
If we think of the features of a matrix as column vectors.
>>> feature1 = np.array([[99,45,31,14]]).T
>>> feature2 = np.array([[0,1,1,0]]).T
>>> feature3 = np.array([[5,3,9,24]]).T
We can stack them into a matrix using hstack
.
>>> X = np.hstack([feature1,feature2,feature3])
>>> X
array([[99, 0, 5],
[45, 1, 3],
[31, 1, 9],
[14, 0, 24]])
There are easier ways to create matrices, such as reading directly
from a csv file, but the ability to concatenate matrices is important.
With hstack
we horizontally stacked our column vectors. The
sister function vstack
allows us to vertically stack vectors
or matrices in a similar way.
We may access the individual elements of \(\mathbf{X}\) through indexing
In the above matrix we show how to explicitly refer to any element in \(\mathbf{X}\). It is also quite common to refer to a generic element in \(\mathbf{X}\) as \(\mathbf{X}_{i,j}\), where if you picked up on the pattern indexing occurs by stating the row then the column. In NumPy you are following the same pattern. Using the feature matrix created above:
>>> X[0,2]
5
>>> X[1,0]
45
And if we want to access our first column vector again
>>> X[:,0]
array([99, 45, 31, 14])
>>> X[:,0]
array([99, 45, 31, 14])
We now see that an array with 2 axes is indexed and even sliced one axis at a time. 1D arrays can be indexed in the same way a Python list can.
>>> a = np.arange(10)
>>> a[2:4]
array([2, 3])
>>> a[:10:2]
array([0, 2, 4, 6, 8])
>>> a[::-1]
array([9, 8, 7, 6, 5, 4, 3, 2, 1, 0])
If we go back to the X
matrix there are many useful functions once we are here including mean
>>> X.mean(axis=0)
array([ 47.25, 0.5 , 10.25])
>>> X.mean(axis=1)
array([ 34.66666667, 16.33333333, 13.66666667, 12.66666667])
>>> X.mean()
19.333333333333332
Note
axis 0 refers to a mean with respect to the columns
Basic matrix operations¶
This has already been stated once. But since it is important lets say it a different way.
Note
In order to multiply two matrices, they must be conformable such that the number of columns of the first matrix must be the same as the number of rows of the second matrix.
When we say multiply two matrices it does not mean multiply in the sense that you might think. The matrix product of two matrices is another matrix.
If we have two vectors \(\mathbf{x}\) and \(\mathbf{y}\) of the same length \((n)\), then the dot product is give by
Important
Arithmetic operators in NumPy work elementwise
>>> a = np.array([3,4,5])
>>> b = np.ones(3)
>>> a - b
array([ 2., 3., 4.])
Something that can be tricky for people familar with other programming languages is that the * operator does not carry out a matrix product. This is done with the dot function.
>>> a = np.array([[1,2],[3,4]])
>>> b = np.array([[1,2],[3,4]])
>>> a
array([[1, 2],
[3, 4]])
>>> b
array([[1, 2],
[3, 4]])
>>> a * b
array([[ 1, 4],
[ 9, 16]])
>>> np.dot(a,b)
array([[ 7, 10],
[15, 22]])
>>> np.dot(np.array([[1,2,3]]),np.array([[2,3,4]]))
The dot product is a very important concept that we will reuse many times going forward. The dot product is generally written as
when you write np.dot
the NumPy package will sometimes assume that you mean to do this such as in the case of the above example.
>>> np.dot(np.array([1,2,3,4]), np.array([3,4,5,6]))
50
>>> np.dot(np.array([[1,2,3,4]]), np.array([[3,4,5,6]]).T)
array([[50]])
The dot product is an essential building block of matrix multiplication. The table below shows that when we multiply two matrices the result is a table of dot products for pairs of vectors making up the entries of each matrix.
First think about this in terms of square matrices and see if you can identify the pattern.
Perform matrix multiplication on a square matrix. This is how it works—code the pattern.
Once you see what is happening this figure can help you understand how the pattern generalizes to different shap matrices. Figuring out the shape of a matrix that gets
https://en.wikipedia.org/wiki/Matrix_multiplication
Important
There is a pattern to figure out the size fo the resulting matrix. result = Num Rows in 1st matrix \(\times\) Num Columns in 2nd Matrix
Questions
Given the following code write the multiplication out on paper and run it Python to check your math
>>> np.dot(np.array([[1,2,3]]),np.array([[2,3,4]]).T)
If we multiply a \(2 \times 3\) matrix with a \(3 \times 1\) matrix, the product matrix is \(2 \times 1\).
Write an example of this on paper with simple numbers to see if you can understand why.
Khan academy video on dot products
Special addition and multiplication operators¶
Like in regular Python there is a special operator.
>>> a = np.zeros((2,2),dtype='float')
>>> a += 5
>>> a
array([[ 5., 5.],
[ 5., 5.]])
>>> a *= 5
>>> a
array([[ 25., 25.],
[ 25., 25.]])
>>> a + a
array([[ 50., 50.],
[ 50., 50.]])
Sorting arrays¶
NumPy has a useful submodule to create random numbers
>>> x = np.random.randint(0,10,5)
>>> x.sort()
>>> x
array([0, 1, 5, 6, 7])
We can also reshuffle the array
>>> np.random.shuffle(x)
>>> x
array([1, 0, 6, 5, 7])
But sometimes we do not want to change our matrix, but knowing the sorted indices may be useful and here argsort
can be very useful.
>>> sorted_inds = np.argsort(x)
>>> sorted_inds
array([1, 0, 3, 2, 4])
>>> x[sorted_inds]
array([0, 1, 5, 6, 7])
Common math functions¶
>>> x = np.arange(1,5)
>>> np.sqrt(x) * np.pi
array([ 3.14159265, 4.44288294, 5.44139809, 6.28318531])
>>> 2**4
16
>>> np.power(2,4)
16
>>> np.log(np.e)
1.0
>>> x = np.arange(5)
>>> x.max() - x.min()
4
There are so many mathematical functions available to you in NumPy
Basic operations exercise¶
Exercise
In the following table we have expression values for 5 genes at 4 time points. These are completely made up data. Although, some of the questions can be easily answered by looking at the data, microarray data generally come in much larger tables and if you can figure it out here the same code will work for an entire gene chip.
| Gene name | 4h | 12h | 24h | 48h |
|---|---|---|---|---|
| A2M | 0.12 | 0.08 | 0.06 | 0.02 |
| FOS | 0.01 | 0.07 | 0.11 | 0.09 |
| BRCA2 | 0.03 | 0.04 | 0.04 | 0.02 |
| CPOX | 0.05 | 0.09 | 0.11 | 0.14 |
- Create a single array for the data (4x4)
- Find the mean expression value per gene
- Find the mean expression value per time point
Extra Credit
- Which gene has the maximum mean expression value?
- Sort the gene names by the max expression value
Tip
>>> geneList = np.array([["A2M", "FOS", "BRCA2","CPOX"]])
>>> values0 = np.array([[0.12,0.08,0.06,0.02]])
>>> values1 = np.array([[0.01,0.07,0.11,0.09]])
>>> values2 = np.array([[0.03,0.04,0.04,0.02]])
>>> values3 = np.array([]0.05,0.09,0.11,0.14]])


Operators¶
In this chapter we will introduce the operators provided by the Ring programming langauge.
Arithmetic Operators¶
The next table presents all of the arithmetic operators provided by the Ring language. Assume variable X=50 and variable Y=10 then:
| Operator | Description | Example | Result |
|---|---|---|---|
| + | Add | x+y | 60 |
| - | Subtract | x-y | 40 |
| * | Multiplies | x*y | 500 |
| / | Divide | x/y | 5 |
| % | Modulus | x%y | 0 |
| ++ | Increment | x++ | 51 |
| - - | Decrement | x- - | 49 |
Relational Operators¶
The next table presents all of the relational operators provided by the Ring language. Assume variable X=50 and variable Y=10 then:
| Operator | Description | Example | Result |
|---|---|---|---|
| = | Equal | x = y | False |
| != | Not Equal | x != y | True |
| > | Greater than | x > y | True |
| < | Less than | x < y | False |
| >= | Greater or Equal | x >= y | True |
| <= | Less than or Equal | x <= y | False |
Logical Operators¶
The next table presents all of the logical operators provided by the Ring language. Assume variable X=True and variable Y=False then:
| Operator | Description | Example | Result |
|---|---|---|---|
| and | Logical AND | x and y | False |
| or | Logical OR | x or y | True |
| not | Logical Not | not x | False |
Another style
| Operator | Description | Example | Result |
|---|---|---|---|
| && | Logical AND | x && y | False |
| || | Logical OR | x || y | True |
| ! | Logical Not | ! x | False |
Bitwise Operators¶
The next table presents all of the bitwise operators provided by the Ring language. Assume variable X=8 and variable Y=2 then:
| Operator | Description | Example | Result |
|---|---|---|---|
| & | Binary AND | x & y | 0 |
| | | Binary OR | x | y | 10 |
| ^ | Binary XOR | x ^ y | 10 |
| ~ | Binary Ones Complement | ~x | -9 |
| << | Binary Left Shift | x << y | 32 |
| >> | Binary Right Shift | x >> y | 2 |
Assignment Operators¶
The next table presents all of the assignment operators provided by the Ring language.
Assume variable X=8 then:
| Operator | Description | Example | Result |
|---|---|---|---|
| = | Assignment | x = 10 | x=10 |
| += | Add AND assignment | x += 5 | x=13 |
| -= | Subtract AND assignment | x -= 3 | x=5 |
| *= | Multiply AND assignment | x *= 2 | x=16 |
| /= | Divide AND assignment | x /= 3 | x=2.67 |
| %= | Modulus AND assignment | x %= 2 | x=0 |
| <<= | Left shift AND assignment | x <<= 2 | x=32 |
| >>= | Right shift AND assignment | x >>= 2 | x=2 |
| &= | Bitwise AND assignment | x &= 4 | x=0 |
| |= | Bitwise OR and assignment | x |= 3 | x=11 |
| ^= | Bitwise XOR and assignment | x ^= 4 | x=12 |
Misc Operators¶
| Operator | Description |
|---|---|
| :literal | using : before identifier mean literal |
| Start:End | create list contains items from start to end |
| [list items] | define list items |
| list[index] | access list item |
| obj.name | using the dot operator to access object members (attributes/methods). |
| obj {stmts} | execute statements with direct access to object attributes & methods |
| func(para,...) | call function using parameters separated by comma |
| ? <expr> | Print expression then new line |
Operators Precedence¶
The next table present operators from higher precedence (Evaluated first) to lower precedence.
| Operator |
|---|
| . [] () {} |
| - ~ :Literal [list items] |
| ++ - - |
| Start:End |
| * / % |
| + - |
| << >> |
| & |
| | ^ |
| < > <= >= |
| = != |
| not ! |
| and or && || |
| Assignment = += -= *= /= %=>>= <<= &= ^= |= |
| ? |
Example:
See 3+5*4 # prints 23


Great Question. Tbh I'm not so sure. I wanted to replicate the experience of spontaneously walking into the living room and finding my room mates there. Creating a video chat seems to take too much planning.
There are "digital rooms" Once you are a member of one of these room, text me 'bored' If more than one person in that room texts me 'bored' within a 40 minute time frame, I'll send a zoom link to everyone who said they were bored. Absolutely no planning required from you!
I want to see if reducing the digital friction of hanging out leads to more hangouts.
You interface with me entirely via sms. No need to download an app. The video chats, however, are based on zoom, so you'll need a method to join those.
You have to be invited by a current membr of the room.
Text 'add', then I'll ask you who to add. Text me their phone number. They'll get a message saying they got invited to a room. If they accept the invite, they will be added to the room.
Text 'status' and I'll tell you everything about every room you're in.
Text 'status' and I'll tell you everything about every room you're in.
Text me 'create', and I'll get that process started for you.
Text me 'leave' and I'll get right on it.
Text me 'remove' and I'll get that started for you. Note: this removes the person form both the pending list and the member list.
You can't explicitly, You'll have to wait 40 minutes, and you will return to an un-bored state.
Right on. I wish everyone was like you, I wouldn't have had to waste any time making this page. You can text me 'status', 'create', 'add', 'remove', 'accept', 'leave', and 'bored'.
Don't worry about it.

Honestly, it's a terrible idea, and I don't want to do this ever again.
 Too bad you didn't tell me this before I made this.
 (You can checkout my source code at: https://github.com/EpicPi/LivingRoom)
You know me too well; it's honestly scary. https://lmgtfy.com/?q=faq+html+template (Click the first result)
Rip, my dude. Must be my garbage code. Tell me whats wrong by sending an email to piyush@trueshape.io.


Light on dark
Dark on light
Reset
My Border Collie, Zoe
I got my Border Collie a few years ago from a breeder.
She is:
Nice
Beautiful
FAST!
Contact
David T.
435-640-8690
contact me


https://pen-testing.sans.org/blog/2013/03/18/a-penetration-testers-pledge
Just a note here that PSExec passes credentials in the clear when using the -u and -p options. Please don't do it.
That being said, PSExec is one of the preferred methods of pivoting through a Windows environment once SMB credentials have been obtained.


Overview
The theme.colors
section of your tailwind.config.js
file allows you to override Tailwind's default color palette.
// tailwind.config.js
module.exports = {
theme: {
colors: {
indigo: '#5c6ac4',
blue: '#007ace',
red: '#de3618',
}
}
}
By default these colors are automatically shared by the textColor
, borderColor
, and backgroundColor
utilities, so the above configuration would generate classes like .text-indigo
, .border-blue
, and .bg-red
.
Nested object syntax
You can define your colors as a simple list of key-value pairs as we've done above, or using a nested object notation where the nested keys are added to the base color name as modifiers:
// tailwind.config.js
module.exports = {
theme: {
colors: {
indigo: {
lighter: '#b3bcf5',
default: '#5c6ac4',
dark: '#202e78',
}
}
}
}
Like many other places in Tailwind, the default
key is special and means "no modifier", so this configuration would generate classes like .text-indigo-lighter
, .text-indigo
, and .text-indigo-dark
.
Note that you need to use dot notation to access nested colors when using the theme()
function — the colors are only converted to dash-case for the actual CSS class names.
Don't use the dash syntax to access nested color values with theme()
.btn-blue {
background-color: theme('colors.blue-500');
}
Use dot notation to access nested color values with theme()
.btn-blue {
background-color: theme('colors.blue.500');
}
Overriding the default color palette
As described in the theme documentation, if you'd like to override the default color palette, you can do so using the theme.colors
section of your tailwind.config.js
file:
// tailwind.config.js
module.exports = {
theme: {
colors: {
indigo: '#5c6ac4',
blue: '#007ace',
red: '#de3618',
}
}
}
This will disable Tailwind's default color palette and generate classes like bg-indigo
, text-blue
, and border-red
instead.
Extending the default palette
As described in the theme documentation, if you'd like to extend the default color palette, you can do so using the theme.extend.colors
section of your tailwind.config.js
file:
// tailwind.config.js
module.exports = {
theme: {
extend: {
colors: {
'regal-blue': '#243c5a',
}
}
}
}
This will generate classes like bg-regal-blue
in addition to all of Tailwind's default colors.
Overriding a default color
If you'd like to override one of Tailwind's default colors but preserve the rest, simply provide the new values in the theme.extend.colors
section of your tailwind.config.js
file.
For example, here we've replaced the default cool grays with a neutral gray palette:
// tailwind.config.js
module.exports = {
theme: {
extend: {
colors: {
gray: {
'100': '#f5f5f5',
'200': '#eeeeee',
'300': '#e0e0e0',
'400': '#bdbdbd',
'500': '#9e9e9e',
'600': '#757575',
'700': '#616161',
'800': '#424242',
'900': '#212121',
}
}
}
}
}
Overriding a single shade
Since values in the theme.extend
section of your config file are only merged shallowly, overriding a single shade is slightly more complicated.
The easiest option is to import the default theme and spread in the color you want to customize along with the new shade value:
// tailwind.config.js
const { colors } = require('tailwindcss/defaultTheme')
module.exports = {
theme: {
extend: {
colors: {
blue: {
...colors.blue,
'900': '#1e3656',
}
}
}
}
}
Disabling a default color
If you'd like to disable a default color because you aren't using it in your project, the easiest approach is to just build a new color palette that references the default theme.
For example, this tailwind.config.js
file excludes teal, orange, and pink, but includes the rest of the default colors:
// tailwind.config.js
const { colors } = require('tailwindcss/defaultTheme')
module.exports = {
theme: {
colors: {
black: colors.black,
white: colors.white,
gray: colors.gray,
red: colors.red,
yellow: colors.yellow,
green: colors.green,
blue: colors.blue,
indigo: colors.indigo,
purple: colors.purple,
}
}
}
You could also use destructuring to simplify the above example if you're comfortable with it:
// tailwind.config.js
const { colors: { teal, orange, pink, ...colors } } = require('tailwindcss/defaultTheme')
module.exports = {
theme: {
colors: colors
}
}
Naming your colors
Tailwind uses literal color names (like red, green, etc.) and a numeric scale (where 100 is light and 900 is dark) by default. This ends up being fairly practical for most projects, but there are good reasons to use other naming conventions as well.
For example, if you're working on a project that needs to support multiple themes, it might make sense to use more abstract names like primary
and secondary
:
// tailwind.config.js
module.exports = {
theme: {
colors: {
primary: '#5c6ac4',
secondary: '#ecc94b',
// ...
}
}
}
You can configure those colors explicitly like we have above, or you could even pull in Tailwind's default colors and alias the ones you need:
// tailwind.config.js
const { colors } = require('tailwindcss/defaultTheme')
module.exports = {
theme: {
colors: {
primary: colors.indigo,
secondary: colors.yellow,
neutral: colors.gray,
}
}
}
You could even define these colors using CSS custom properties (variables) to make it easy to switch themes on the client:
// tailwind.config.js
module.exports = {
theme: {
colors: {
primary: 'var(--color-primary)',
secondary: 'var(--color-secondary)',
// ...
}
}
}
/* In your CSS */
:root {
--color-primary: #5c6ac4;
--color-secondary: #ecc94b;
/* ... */
}
@tailwind base;
@tailwind components;
@tailwind utilities;
Generating custom color palettes
A common question we get is "how do I generate the 100–900 shades of my own custom colors?".
Bad news: color is complicated and we've yet to find a tool that does a good job generating these sorts of color palettes. We picked all of Tailwind's default colors by hand, balancing them by eye. Sorry!
Default color palette
Tailwind includes a generous palette of great looking, well-balanced colors that are perfect for prototyping or for kicking off a brand new project.


The Sovrin Foundation¶
Sovrin is a global utility for self-sovereign identity–that is, an identity that nobody controls except its natural owner, that can’t be taken away or stripped of its privacy or manipulated through unreasonable terms of service. Imagine if you could bring your identity with you to all your digital interactions, instead of creating new logins for every online bank, every mobile app, every social network, every email client, every government agency, every shopping site… Imagine if they logged in to you, instead of the other way around… Sovrin uses distributed ledger (blockchain) technology to achieve this freedom, and it leverages very sophisticated cryptography to make it all secure and private.
Sovrin’s technical underpinnings come from Hyperledger’s Indy project. Sovrin is a specific instantiation of Indy, using a governance model described in the Sovrin Provisional Trust Framework. Thus, the code that’s stored here is mostly a thin veneer on top of Indy–just enough to provide genesis transactions for the particular machines that bootstrapped Sovrin, plus some light utilities for those who run Sovrin.
To interact with the Sovrin community, visit us at sovrin.slack.com, or at forum.sovrin.org.
To report vulnerabilities against Sovrin, email<EMAIL_ADDRESS>or visit us on hackerone.
If you’d like to write code against Sovrin, we recommend that you check out indy-sdk; it offers a C-callable library plus convenience wrappers in java, python, .NET, and more. Documentation is currently light, but the API is liberally commented… You may also want to work through Indy’s Getting Started Guide, which was originally written for Sovrin and then genericized.
If you want to contribute to
Sovrin, it’s likely that you’ll want to do so via indy-node.
Bugs, stories, and backlog for Indy are managed in
Hyperledger’s Jira.
Use project name INDY
(or IS
for the Indy SDK).


Modals
The modals display the content in a layer that overlaps the application. We use them as dialogues for different purposes.
They grow according to the amount of content inside. The modals can have an icon, title and an explanatory paragraph, always accompanied by a button that calls the action or closes the modal to return to the application screen.
Corner radius
Rounded corners evoke confidence and make the user interface easier and more user-friendly. The default radius value we use for these UI elements is 4px.
The corner radius should be maintained on all inputs, cards, or any component with corners.
4px
Corner radius
4px all sides.
Modal structure
The header of the modal must be clear with the action that it will carry out and within the actions that it entails include the discard option.
Structure
Icon: Located at the top, implemented to give dynamism to the design. This design should reinforce the action that the user will perform.
Color: CoolGray700
Title: It must be clear about the action to be taken.
Color: CoolGray700
Text: Its function is to confirm the action.
Color: Cool Gray 400
Actions: Located at the top, implemented to give dynamism to the design. This design should reinforce the action that the user will perform.
Color: CoolGray700
Close button: Located at the top, implemented to give dynamism to the design. This design should reinforce the action that the user will perform.


Exception: Wesabe::Request::Redirect
- RuntimeError
- Wesabe::Request::Exception
- Wesabe::Request::Redirect
Attributes
Instance Attributes
| location | [RW] | public |
Returns the value of attribute location. |
|---|
Constructor Summary
public
initialize(location)
[View source]
143 144 145 |
# File 'lib/wesabe/request.rb', line 143 def initialize(location) @location = location end |
Public Visibility
Public Instance Method Details
inspect
public
inspect
[View source]
151 152 153 |
# File 'lib/wesabe/request.rb', line 151 def inspect "#<#{self.class.name} Location=#{location.inspect}>" end |
message
public
message
[View source]
147 148 149 |
# File 'lib/wesabe/request.rb', line 147 def "You've been redirected to #{location}" end |


@@include('meta-head.partial.html')
*Your username and password are located in your invitation email.
If you do not receive a confirmation email within 48 hours, please contact us.


Faults of the Process/Library type are failures in loading external processes and libraries.
Process File Not Found – Calls to functions trying to load a library, create a process or load a module are failed; sets the error code 2, Error File Not Found, on return and returns 0 as the return value.
Not Enough Resources – Calls to functions trying to load a library, create a process or load a module are failed; sets the error code 8, Error Not Enough Memory, on return and returns 0 as the return value.
Invalid File Type – Calls to functions trying to load a library are failed and sets the error code 126, Error Mod Not Found, and return a value of 1, functions trying to create a process, or load a module are failed and set the error code 193, invalid file type and use a return value of 0.
Access Denied - Calls to functions trying to load a library, create a process or load a module are failed; sets the error code 5, Error Access Denied, on return and returns 0 as the return value.
Note: Some faults will return a variety of error codes and return values depending on the function called and the condition. The list above specifies what the majority behavior is for each fault. For more information see the faults.xml file located in <Holodeck Enterprise Edition Install Path>\function_db\faults.xml


Introduction to GLib
The GLib package contains
low-level libraries useful for providing data structure handling
for C, portability wrappers and interfaces for such runtime
functionality as an event loop, threads, dynamic loading and an
object system.
This package is known to build and work properly using an LFS-10.1
platform.
Package Information
Additional Downloads
GLib Dependencies
Recommended
libxslt-1.1.34 and PCRE-8.44 (built with Unicode
properties)
Optional
dbus-1.12.20 and bindfs (both may be used in some tests),
GDB-10.1 (for
bindings), docbook-xml-4.5, docbook-xsl-1.79.2, GTK-Doc-1.33.2 (to
build API documentation), glib-networking-2.68.0 (for some
tests, but this is a circular dependency), and sysprof-3.40.1
Additional Runtime Dependencies
gobject-introspection-1.68.0
(should be installed before gtk+, atk, etc.)
Quoted directly from the INSTALL
file: “Some of the
mimetype-related functionality in GIO requires the update-mime-database and
update-desktop-database
utilities”, which are part of shared-mime-info-2.1 and desktop-file-utils-0.26,
respectively. These two utilities are also needed for some tests.
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/glib2
Installation of GLib
If desired, apply the optional patch. In many cases, applications
that use this library, either directly or indirectly via other
libraries such as GTK+-3.24.28, output numerous warnings when run
from the command line. This patch enables the use of an environment
variable, GLIB_LOG_LEVEL
, that supresses
unwanted messages. The value of the variable is a digit that
corresponds to:
|
1 Alert
|
|
2 Critical
|
|
3 Error
|
|
4 Warning
|
|
5 Notice
|
For instance export
GLIB_LOG_LEVEL=4
will skip output of Warning and
Notice messages (and Info/Debug messages if they are turned on). If
GLIB_LOG_LEVEL
is not defined, normal
message output will not be affected.
patch -Np1 -i ../glib-2.68.1-skip_warnings-1.patch
Warning
If a previous version of glib is installed, move the headers out
of the way so that later packages do not encounter conflicts:
if [ -e /usr/include/glib-2.0 ]; then
rm -rf /usr/include/glib-2.0.old &&
mv -vf /usr/include/glib-2.0{,.old}
fi
Install GLib by running the
following commands:
mkdir build &&
cd build &&
meson --prefix=/usr \
-Dman=true \
-Dselinux=disabled \
.. &&
ninja
Note
If libxslt-1.1.34 is installed, the above
command may indicate several (about 33) errors that start with
"Error: no ID for constraint linkend:" when generating the man
pages. These are harmless.
The GLib test suite requires
desktop-file-utils for some tests.
However, desktop-file-utils
requires GLib in order to compile;
therefore, you must first install GLib and then run the test suite.
Now, as the root
user:
ninja install &&
mkdir -p /usr/share/doc/glib-2.68.1 &&
cp -r ../docs/reference/{NEWS,gio,glib,gobject} /usr/share/doc/glib-2.68.1
You should now install desktop-file-utils-0.26 and shared-mime-info-2.1 and proceed to run
the test suite.
To test the results, after having installed the package, issue:
ninja test.
Finally, if this is a reinstall from glib2-2.64.x or earlier,
remove (as the root
user) an
obsolete header file that interferes with some packages:
rm -f /usr/include/glib-2.0/glib/gurifuncs.h
Command Explanations
-Dman=true
: This switch
causes the build to create and install the package man pages.
-Dselinux=disabled
: This
switch disables support for selinux which is not supported in BLFS.
-Dgtk_doc=true
: This switch causes the
build to create and install the API documentation.


--- layout: default title: About Haris Dimitriou permalink: /about/ # hero: http://cl.ly/image/1h043u0S302Q/content ---
Hi (again)! I am Theocharis (Haris) Dimitriou, born, raised and living in the beautiful Thessaloniki, in Greece.
I am a software engineer with over 15 years of experience in software systems implementations, having built various commercial enterprise systems for health, S.M.E.s, education, industry and culture and web APIs for fast pacing startups.
I have a degree in Applied Informatics from University of Macedonia. I worked as a Delphi, Oracle Forms, Java and .Net developer before falling in love with Ruby and recently with Python :-)
When I'm not writing code or taking care of my family, I will be probably trying to work wood or speaking about (not only) Ruby and Python in the local meetups. I have just started to play around with Raspberry Pi and electronics.
You can contact me via Twitter or email, you can find my full cv at LinkedIn and view my code/projects on Github.


The typical buyer's decision is usually heavily influenced by the actions of his acquaintances, neighbours or relatives. Thus, if everybody around is investing in a particular stock, the tendency for potential investors is to do the same. But this strategy is bound to backfire in the long run. No need to say that you should always avoid having the herd mentality if you don't want to lose your hard-earned money in stock markets .
Proper research should always be undertaken before investing in stocks. But that is rarely done. Investors generally go by the name of a company or the industry they belong to. This is, however, not the right way of putting one's money into the stock market. .
Never invest in a stock. Invest in a business instead. And invest in a business you understand. In other words, before investing in a company, you should know what business the company is in.
One thing that even Warren Buffett doesn't do is to try to time the stock market, although he does have a very strong view on the price levels appropriate to individual shares. A majority of investors, however, do just the opposite, something that financial planners have always been warning them to avoid, and thus lose their hard-earned money in the process.
Historically it has been witnessed that even great bull runs have shown bouts of panic moments. The volatility witnessed in the markets has inevitably made investors lose money despite the great bull runs. However, the investors who put in money systematically, in the right shares and held on to their investments patiently have been seen generating outstanding returns
Many investors have been losing money in stock markets due to their inability to control emotions, particularly fear and greed. In a bull market, the lure of quick wealth is difficult to resist. Greed augments when investors hear stories of fabulous returns being made in the stock market in a short period of time. In a bear market, on the other hand, investors panic and sell their shares at rock-bottom prices. Thus, fear and greed are the worst emotions to feel when investing, and it is better not to be guided by them.
Diversification of portfolio across asset classes and instruments is the key factor to earn optimum returns on investments with minimum risk. Level of diversification depends on each investor's risk taking capacity
There's nothing wrong with hoping for the 'best' from your investments, but you could be heading for trouble if your financial goals are based on unrealistic assumptions. For instance, lots of stocks have generated more than 50 per cent returns during the great bull run of recent years. However, it doesn't mean that you should always expect the same kind of return from the stock markets.
If you want to take risk in a volatile market like this, then see whether you have surplus funds which you can afford to lose. It is not necessary that you will lose money in the present scenario.  But no one can be hundred percent sure. That is why you will have to take risk. No need to say that invest only if you are flush with surplus funds.
We are living in a global village. Any important event happening in any part of the world has an impact on our financial markets. Hence we need to constantly monitor our portfolio and keep affecting the desired changes in it. If you can't review your portfolio due to time constraint or lack of knowledge, then you should take the help of a good financial planner or someone who is capable of doing that.


|
ActiveTcl User Guide
|
||
Tk_Name, Tk_PathName, Tk_NameToWindow - convert between names and window tokens
#include <tk.h>
Tk_Uid
Tk_Name(tkwin)
char *
Tk_PathName(tkwin)
Tk_Window
Tk_NameToWindow(interp, pathName, tkwin)
Each window managed by Tk has two names, a short name that identifies a window among children of the same parent, and a path name that identifies the window uniquely among all the windows belonging to the same main window. The path name is used more often in Tk than the short name; many commands, like bind, expect path names as arguments.
The Tk_Name macro returns a window's short name, which is the same as the name argument passed to Tk_CreateWindow when the window was created. The value is returned as a Tk_Uid, which may be used just like a string pointer but also has the properties of a unique identifier (see the manual entry for Tk_GetUid for details).
The Tk_PathName macro returns a hierarchical name for tkwin. Path names have a structure similar to file names in Unix but with dots between elements instead of slashes: the main window for an application has the path name ``.''; its children have names like ``.a'' and ``.b''; their children have names like ``.a.aa'' and ``.b.bb''; and so on. A window is considered to be be a child of another window for naming purposes if the second window was named as the first window's parent when the first window was created. This is not always the same as the X window hierarchy. For example, a pop-up is created as a child of the root window, but its logical parent will usually be a window within the application.
The procedure Tk_NameToWindow returns the token for a window given its path name (the pathName argument) and another window belonging to the same main window (tkwin). It normally returns a token for the named window, but if no such window exists Tk_NameToWindow leaves an error message in interp->result and returns NULL. The tkwin argument to Tk_NameToWindow is needed because path names are only unique within a single application hierarchy. If, for example, a single process has opened two main windows, each will have a separate naming hierarchy and the same path name might appear in each of the hierarchies. Normally tkwin is the main window of the desired hierarchy, but this need not be the case: any window in the desired hierarchy may be used.
name, path name, token, window
Copyright © 1990 The Regents of the University of California. Copyright © 1994-1997 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


"Hire a senior dev and they'll just start spitting out money the first day, right?" @shawnacscott #osb14
6/26/2014, 2:39:59 PM
Favs: 0
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link--- layout: tweet ---
"Hire a senior dev and they'll just start spitting out money the first day, right?" @shawnacscott #osb14
6/26/2014, 2:39:59 PM
Favs: 0
Retweets: 0
link


Catalina Studios is a game and software development company made for people who enjoy easy
to pick-up games and softwares. We specialize in
user-friendly interface, tight and responsive
controls, and creativity
.


Author {{quote.author}}
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We will generate our own dataset for a function \( y(x) \) where \( x \in [0,1] \) and defined by random numbers computed with the uniform distribution. The function \( y \) is a quadratic polynomial in \( x \) with added stochastic noise according to the normal distribution \( \cal {N}(0,1) \). The following simple Python instructions define our \( x \) and \( y \) values (with 100 data points).
x = np.random.rand(100,1)
y = 5*x*x+0.1*np.random.randn(100,1)
You can use the functionality included in scikit-learn. If you feel for it, you can use your own program and define functions which compute the above two functions. Discuss the meaning of these results. Try also to vary the coefficient in front of the added stochastic noise term and discuss the quality of the fits.
Show that the variance of the parameters \( \beta \) in the linear regression method (chapter 3, equation (3.8) of Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer) is given as $$ \mathrm{Var}(\hat{\beta}) = \left(\hat{X}^T\hat{X}\right)^{-1}\sigma^2, $$ with $$ \sigma^2 = \frac{1}{N-p-1}\sum_{i=1}^{N} (y_i-\tilde{y}_i)^2, $$ where we have assumed that we fit a function of degree \( p-1 \) (for example a polynomial in \( x \)).
This exercise is a continuation of exercise 1. We will use the same function to generate our data set, still staying with a simple function \( y(x) \) which we want to fit using linear regression, but now extending the analysis to include the Ridge and the Lasso regression methods. You can use the code under the Regression as an example on how to use the Ridge and the Lasso methods.
We will thus again generate our own dataset for a function \( y(x) \) where \( x \in [0,1] \) and defined by random numbers computed with the uniform distribution. The function \( y \) is a quadratic polynomial in \( x \) with added stochastic noise according to the normal distribution \( \cal{N}(0,1) \).
The following simple Python instructions define our \( x \) and \( y \) values (with 100 data points).
x = np.random.rand(100,1)
y = 5*x*x+0.1*np.random.randn(100,1)
We will study how to fit polynomials to a specific two-dimensional function called Franke's function. This is a function which has been widely used when testing various interpolation and fitting algorithms. Furthermore, after having established the model and the method, we will employ resamling techniques such as the cross-validation and/or the bootstrap methods, in order to perform a proper assessment of our models.
The Franke function, which is a weighted sum of four exponentials reads as follows $$ \begin{align*} f(x,y) &= \frac{3}{4}\exp{\left(-\frac{(9x-2)^2}{4} - \frac{(9y-2)^2}{4}\right)}+\frac{3}{4}\exp{\left(-\frac{(9x+1)^2}{49}- \frac{(9y+1)}{10}\right)} \\ &+\frac{1}{2}\exp{\left(-\frac{(9x-7)^2}{4} - \frac{(9y-3)^2}{4}\right)} -\frac{1}{5}\exp{\left(-(9x-4)^2 - (9y-7)^2\right) }. \end{align*} $$
The function will be defined for \( x,y\in [0,1] \). Our first step will be to perform an OLS regression analysis of this function, trying out a polynomial fit with an \( x \) and \( y \) dependence of the form \( [x, y, x^2, y^2, xy, \dots] \). We will also include cross-validation and bootstrap as resampling techniques. As in homeworks 1 and 2, we can use a uniform distribution to set up the arrays of values for \( x \) and \( y \), or as in the example below just a fix values for \( x \) and \( y \) with a given step size. In this case we will have two predictors and need to fit a function (for example a polynomial) of \( x \) and \( y \). Thereafter we will repeat much of the same procedure using the the Ridge and Lasso regression methods, introducing thus a dependence on the bias (penalty) \( \lambda \).
The Python fucntion for the Franke function is included here (it performs also a three-dimensional plot of it)
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np
from random import random, seed
fig = plt.figure()
ax = fig.gca(projection='3d')
# Make data.
x = np.arange(0, 1, 0.05)
y = np.arange(0, 1, 0.05)
x, y = np.meshgrid(x,y)
def FrankeFunction(x,y):
term1 = 0.75*np.exp(-(0.25*(9*x-2)**2) - 0.25*((9*y-2)**2))
term2 = 0.75*np.exp(-((9*x+1)**2)/49.0 - 0.1*(9*y+1))
term3 = 0.5*np.exp(-(9*x-7)**2/4.0 - 0.25*((9*y-3)**2))
term4 = -0.2*np.exp(-(9*x-4)**2 - (9*y-7)**2)
return term1 + term2 + term3 + term4
z = FrankeFunction(x, y)
# Plot the surface.
surf = ax.plot_surface(x, y, z, cmap=cm.coolwarm,
linewidth=0, antialiased=False)
# Customize the z axis.
ax.set_zlim(-0.10, 1.40)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
# Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()
We will thus again generate our own dataset for a function \( \mathrm{FrankeFunction}(x,y) \) where \( x,y \in [0,1] \) could be defined by random numbers computed with the uniform distribution. The function \( f(x,y) \) is the Franke function. You should explore also the addition an added stochastic noise to this function using the normal distribution \( \cal{N}(0,1) \).
Write your own code (using either a matrix inversion or a singular value decomposition from e.g., numpy ) or use your code from exercises 1 and 3 and perform a standard least square regression analysis using polynomials in \( x \) and \( y \) up to fifth order. Find the confidence intervals of the parameters \( \beta \) by computing their variances, evaluate the Mean Squared error (MSE) $$ MSE(\hat{y},\hat{\tilde{y}}) = \frac{1}{n} \sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2, $$ and the \( R^2 \) score function. If \( \tilde{\hat{y}}_i \) is the predicted value of the \( i-th \) sample and \( y_i \) is the corresponding true value, then the score \( R^2 \) is defined as $$ R^2(\hat{y}, \tilde{\hat{y}}) = 1 - \frac{\sum_{i=0}^{n - 1} (y_i - \tilde{y}_i)^2}{\sum_{i=0}^{n - 1} (y_i - \bar{y})^2}, $$ where we have defined the mean value of \( \hat{y} \) as $$ \bar{y} = \frac{1}{n} \sum_{i=0}^{n - 1} y_i. $$
Perform a resampling of the data where you split the data in training data and test data. Implement the \( k \)-fold cross-validation algorithm and/or the bootstrap algorithm and evaluate again the MSE and the \( R^2 \) functions resulting from the test data. Evaluate also the bias and variance of the final models.
Write then your own code for the Ridge method, either using matrix inversion or the singular value decomposition as done for standard OLS. Perform the same analysis as in the previous exercise (for the same polynomials and include resampling techniques) but now for different values of \( \lambda \). Compare and analyze your results with those obtained with standard OLS. Study the dependence on \( \lambda \) while also varying eventually the strength of the noise in your expression for \( \mathrm{FrankeFunction}(x,y) \).
Then perform the same studies but now with Lasso regression. Use the functionalities of scikit-learn. Give a critical discussion of the three methods and a judgement of which model fits the data best.


One of main goals for Oak security, was to clearly separates between access control management (such as defined by the JCR and Jackrabbit API) and the internal permission evaluation.
While access control management is defined to be an optional feature added in JCR 2.0, permission evaluation was mandated since the very first version of JCR even though it remained an implementation detail.
The documentation follows this separations and handles access control and permission evaluation separately:
Despite the fact that there is a distinction between the public facing access control management and the internal permission evaluation, these two topics remain connected to one another and a given authorization model is expected to define and handle both in a consistent manner. Consequently the main entry point for authorization related operations is a single AuthorizationConfiguration (see section configuration below).
The configuration of the authorization related parts is handled by the AuthorizationConfiguration. This class provides the following methods:
The supported configuration options of the default implementation are described separately for access control management and permission evalution .
There are multiple options for plugging authorization related custom implementations:
As of Oak 1.4 the built-in SecurityProvider implementations allow for the aggregation of multiple AuthorizationConfigurations.
The behaviour of the CompositeAuthorizationConfiguration is described in the corresponding section (see also OAK-1268).
In previous versions of Oak aggregation of multiple authorization models was not supported and it was only possible to replace the existing AuthorizationConfiguration. This would completely replace the default way of handling authorization in the repository.
In OSGi-base setup this is achieved by making the configuration implementation a service such that it takes precendece over the default.
In a non-OSGi-base setup the custom configuration must be exposed by the SecurityProvider implementation.
In all versions of Oak it is possible to plug custom implementation(s) for the restriction management that allows to narrow the effect of permissions to items matching a given, defined behavior. Details can be found in section RestrictionManagement.


How about you return to somewhere safe?


Your Societies Friends
Sara Weber
Communities: 10
Location: 10
JOE BLOGGS
Communities: 10
Location: 10
JOE BLOGGS
Communities: 10
Location: 10
JOE BLOGGS
Communities: 10
Location: 10


| Duration | Institution | Award |
|---|---|---|
| 2010-2017 | University of Juba | Degree |
| 2016-2017 | Juba-MTC | Certificate |
| 2007-2010 | Malek High School | SSC |
I had worked with Save the Children International as Education Project Officer ; I also worked with Lutheran World Federation as a secondary school teacher. I had worked for three (3) years in teaching at Mahad secondary school which is being run by Islamic Relief Organization, plus other government and private schools
Programming Skills:
Languages:


Titanium.Media.takePicture
use the device camera to capture a photo. this must be called after calling `showCamera` and only when `autohide` is set to false. this method will cause the media capture device to capture a photo and call the `success` callback.
Arguments
This function takes no arguments.
Return Type
void


-
Baltimore is here for you
Access all news easily and instantaneously by taking advantage of this template. It is simple and easy to use and has a slider with an automatic sliding feature. It’s never been easier
PRODUCTIVITYBUSINESS
to access all the latest news! -
Baltimore is perfect for you
Access all news easily and instantaneously by taking advantage of this template. It is simple and easy to use and has a slider with an automatic sliding feature. It’s never been easier
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to access all the latest news! -
Baltimore has a modern design and an ergonomic navigation
Access all news easily and instantaneously by taking advantage of this template. It is simple and easy to use and has a slider with an automatic sliding feature. It’s never been easier
PRODUCTIVITYBUSINESS
to access all the latest news!


F.7. Where to Find More InformationLinux on the Mainframe is a 430-page book (footnote 1) that covers most higher-level issues such as reliability, availability, and security; related considerations concerning the total cost of ownership, performance, and capacity planning; and technical overviews of concepts such as virtualization. You can find a detailed description of the zSeries and architecture in the "Principles of Operation" (see footnote 8). It specifies the zSeries processor's instruction set, register usage, addressing modes, exception handling, and similar issues. At this level, there are also a couple of issues specific to the Linux operating system and its compiler. These have been described in a number of technical articles (see footnotes 10, 11, and 12). See the GCC manual for details about compiler support for zSeries (see footnote 4). Last but not least, IBM provides a Web page with up-to-date information about porting issues: www.ibm.com/developerworks/eserver/articles/linux_s390/. |


Summary
JavaFX allows components to be styled using CSS. Recaf comes with a few stylesheets (Some are incomplete, flat is the default and is complete) which can be specified on the options panel under Display. The value in the option field specifies the suffix to use for files located in src\resources\style. If the file does not exist, the flat theme is used as a default.
To create your own style, copy the flat theme CSS and edit to your liking. Tags are sorted into groups and have some comments explaining choices made for the styles and where they are used in the UI.
References
Examples
Here are some example themes. (The window borders are drawn by the OS)
Standard theme
Used by specifying flat as the style in the display config.
Night theme
Used by specifying night as the style in the display config.
No theme, default JavaFX style
Used by specifying none as the style in the display config.


FOR YOUR KIND ATTENTION.  I AM A HOUSE BOY TO MR.SCHRANNER WHO DIED IN A JET CRASH IN THE YEAR 2000.THE GERMAN NATIONAL IS RUNNING AN ESTATE/PROPERTY BUSINESS HERE IN BURKINA FASO.   BEST REGARDS. BULA. _________________________________________________________________ MSN Hotmail : créez votre adresse e-mail gratuite & à vie ! http://www.msn.fr/newhotmail/Default.asp?Ath=f


We have winners! Please come find Ken (email<EMAIL_ADDRESS>in Labs to claim your prizes!
1st place: golden
2nd place: jackal
3rd place: i3602u
The contest is over but we will leave the app running and accepting submissions
We have tons of AA batteries in Labs, come getem


Grasslands Trail Marathon
Decatur TX/USA
Website: www.grasslandstrailrun.com
Race Winners (19
runnings)
24
Mar 2007
25
Mar 2006
26
Mar 2005
20
Mar 2004
22
Mar 2003
2002
2001
2000
1999
Notes: 1999 was the inaugural year.
This race is on trails. For 1999-2002, the race distance was about 25
miles.
18
Mar 2017
3:08:48
Joe Schmal (USA)
3:32:47
Melanie Rabb (USA)
19
Mar 2016
3:19:23
Jonathan Moody (USA)
3:33:19
Shaheen Sattar -4
21
Mar 2015
3:52:12
Eloy Gonzalez (USA)
3:52:58
Shaheen Sattar -3
22
Mar 2014
3:20:35
Matthew Crownover-2
3:34:51
Shaheen Sattar-2
23
Mar 2013
3:07:52
Daniel Ludwig (USA)
4:26:58
Merry (Wolf) McCoul-2
24
Mar 2012
3:37:48
Matthew Crownover (USA)
3:59:16
Shaheen Sattar (USA)
19
Mar 2011
3:29:
Ron Lambke (TX/USA)
4:00:
Merry (McCoul) Wolf (TX/USA)
20
Mar 2010
4:31:
Patton Gleason (USA)
6:19:
Julie Grant (USA)
21
Mar 2009
3:30:20
Brian Miller (TX/USA)
3:44:12
Deborah Fields (USA)
22
Mar 2008
3:18:36
Gary Anderson (TX/USA)
4:12:47
Candy Melder (TX/USA)
3:19:26
Jeff Basti (TX/USA)
4:03:01
Tammy Starnes-2
3:01:33
Todd Reynolds (TX/USA)
4:08:08
Tammy Starnes (TX/USA)
3:39:38
Sam Thompson (USA)
4:51:39
Shelley Egli-2
3:27:46
Jack Hase (USA)
4:03:08
Shelley Egli (OK/USA)
3:20:34
Gerhard vanNiekerk (USA)
4:07:12
Chrissy Ferguson (AR/USA)
3:14:38
Terry Marcott (IN/USA)
3:59:00
Barbara Hitzfeld-2
---
n/a
---
n/a
---
n/a
---
n/a
3:22:23
Steve Shopoff (USA)
4:02:50
Barbara Hitzfeld (USA)
Most Wins
(1999-date)
Men
2
Matthew Crownover (USA)
2012,2014
Women
4
Shaheen Sattar (USA)
2012,2014-16
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men No men under 2:20 Women No women under 2:50
Last Updated on 25 Mar 2017
Contributor: Klaas Loonstra (10), Chris Barnwell


register dancing
`Prev `__
R
`Next `__
--------------
**register dancing**: n.
Many older processor architectures suffer from a serious shortage of
general-purpose registers. This is especially a problem for
compiler-writers, because their generated code needs places to store
temporaries for things like intermediate values in expression
evaluation. Some designs with this problem, like the Intel 80x86, do
have a handful of special-purpose registers that can be pressed into
service, providing suitable care is taken to avoid unpleasant side
effects on the state of the processor: while the special-purpose
register is being used to hold an intermediate value, a delicate minuet
is required in which the previous value of the register is saved and
then restored just before the official function (and value) of the
special-purpose register is again needed.
--------------
+---------------------------+----------------------------+-------------------------+
| `Prev `__ | `Up <../R.html>`__ | `Next `__ |
+---------------------------+----------------------------+-------------------------+
| regexp | `Home <../index.html>`__ | rehi |
+---------------------------+----------------------------+-------------------------+


Instructions:
- You can play without logging in.
- We recommend logging in to save the record in your profile.
- Start a puzzle with either choosing a size or searching by a puzzle id.
- Once a new game stated, to give up a game in the middle, please click "New Puzzle" button at the bottom to start a new game, and choose a new game option as listed above.
Features:
- Count up timer.
- Mark cells you know aren't spots.
- Click and drag to select multiple cells at once.
Start Game:


Survey Questions
About You
Question 1
I like adventure.
Question 2
My goals in life are clear.
Question 3
If people are rude to me I just shrug it off.
Question 4
I rely on rational thought more than instinct.
Question 5
My friends would describe me as creative.
Question 6
Prioritizing health is of the utmost importance.
Question 7
Barack Obama was one of the greatest Presidents in U.S. history.
Question 8
The virtual world can be just as engaging as the real world.
Question 9
I don't wait for people to tell me what to do.
Question 10
The pen is mightier than the sword.


HEROIC LEVELS
Abandon all hope, ye who enter here. Similar to ordinary demons but much stronger and more intelligent, heroic demons are more than a match for the toughest heroes.
Median XL features four heroic areas:
Act 1 Mausoleum (Burial Grounds)
Act 2 Stony Tomb Level 1 (Rocky Waste)
Act 5 Icy Cellar (Ancients' Way)
Each of the three areas contains the same 20 heroic monster types. You may
want to choose the area that suits your character build the most.
Act 1 Cow Level (Rogue Encampment)
Meet invisible cow ninjas, bovine summoners and other figments of your fever dreams after a bad case of food poisoning in
the Cow Level!
HEROIC BOSSES
Each heroic area is protected by its own guardian and one appears only when its shrine is disturbed. The area's heroic boss may randomly appear in the area, or he may not... Beware, heroic bosses are among the hardest encounters in Median XL.
All heroic bosses are protected by an invulnerability shield. This shield is nearly impossible to break with mortal magic but will occasionally fail and drop a random immunity, though this still leaves the boss with high resistance to this element. Use these rare opportunities well.
|
1/6 Bull Prince Rodeo Level |
Location See THIS PAGE for more information on how to enter the Cow Level. Lore Strategy Reward
Fool's Gold
Keep in Inventory to Gain Bonus Required Level: 100 +(-10 to 38) to all Attributes Total Character Defense Plus (11 to 15)% 3% Reanimate as: Random monster (including Elites) -75% Less Gold from Monsters (31 to 40)% Better Chance of Getting Magic Items See THIS PAGE for the list of reanimates. Drop Bias See THIS PAGE for more information about the Unique Mystic Orbs. |
|
2/6 Quov Tsin Level |
Location Lore Strategy Reward
Silver Seal of Ureh
Keep in Inventory to Gain Bonus Required Level: 120 +(21 to 30) Energy Factor to Spell Damage +1 to All Skills +(41 to 50) to Strength +(41 to 50) to Dexterity +(41 to 50) to Vitality +(41 to 50) to Energy (21 to 25)% Bonus to Summoned Minion Damage (11 to 15)% Bonus to Summoned Minion Resistances 2% chance to drop a trophy on Destruction difficulty. Cube the trophy with the charm for a small bonus.
Quov Tsin Trophy
Cube with the Silver Seal of Ureh... +15% to Spell Damage |
|
3/6 Belial Level |
Location Once you enter, you cannot go back trough the stairs. Lore Strategy Reward
Book of Lies
Keep in Inventory to Gain Bonus Required Level: 60 +(51 to 500) to Life +(51 to 500) to Mana Transmute the Book of Lies with your Book of Summoning to add to it the power of Dark Summoning.
Book of Lies + Book of Summoning → Book of Lies with added bonuses
This upgrade recipe adds the following bonuses: |
|
4/6 Athulua Level |
Location Lore Strategy Reward
Deity's Bow
This blessed bow might be used for unique recipes to unleash Divine Power Valkyrie's Prime
Cursed Crystal + Unknown Skull 1 → Blessed Crystal
Blessed Crystal + Unknown Skull 2 → Book of the Wise
Unknown Skull 1 + Unknown Skull 2 → Mystic Shard
See THIS PAGE for more information about the Cursed Crystal. Using these 3 reagents and other listed in this table, and transmuting them with the appropriate character, you can get all the Tokens.
Once you've gathered all 6 Tokens and the Deity's Bow you can use this recipe.
Deity's Bow + Tokens of Pain, Suffering, Hatred, Terror, Destruction & Lies → Valkayrie's Prime
It assembles the mighty Amazon bow invested with powers from Athulua herself.
Valkayrie's Prime
Sacred Bow Two-Hand Damage: 850 to 1540 Required Dexterity: 666 Required Strenght: 666 Required Level: 120 Adds Strength Damage Bonus: (102/256 per Strength)% Adds Dexterity Damage Bonus: (102/256 per Dexterity)% 100% Chance to Cast level 1 Athulua's Wrath when you Die 15% Chance to cast level 15 Time Wave when you Kill an Enemy +1 to All Skills +200% Enhanced Damage Adds 400-1000 Damage Adds 111-666 Magic Damage Adds 111-666 Fire Damage Adds 111-666 Lightning Damage Adds 111-666 Cold Damage +10 to Sky Siege |
|
5/6 Astrogha Level |
Location Lore Strategy Reward
Astrogha's Venom Stinger
Keep in Inventory to Gain Bonus Required Level: 120 +1 to All Skills +(100 to 500) to Life Poison Length Reduced by 50% 2% chance to drop a trophy on Destruction difficulty. Cube the trophy with the charm for a small bonus.
Astrogha Trophy
Cube with the Astrogha's Venom Stinger... -5% to All Enemy Resistances Warning! Due to a bug with the way Diablo II handles champions, there is a chance Astrogha may spawn as a boss pack with several copies of himself as minions. When you see a mass of doom spiders, run for your life and restart the game. |
|
6/6 Kabraxis Level |
Location Lore Strategy Reward
Soul of Kabraxis
Keep in Inventory to Gain Bonus Required Level: 100 50% Chance to cast level 49 Trinity Nova when you Die +1 to All Skills 2% chance to drop a trophy on Destruction difficulty. Cube the trophy with the charm for a small bonus.
Kabraxis Trophy
Cube with the Soul of Kabraxis... 2% Reanimate as: Random monster (including Elites) See THIS PAGE for the list of reanimates. Elemental seals
Soul of Kabraxis + 5x Great Gems (different) → Soul of Kabraxis with added bonuses
This upgrade recipe adds the following bonuses: +(0 to 5)% to Maximum Cold Resist +(0 to 5)% to Maximum Lightning Resist +(0 to 5)% to Maximum Poison Resist +20 Required Level |


Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
Demo: Spatial class-translation
single-class generation / canvas
spatial class-translation result
{% extends "demo_spatial_translation/layout.html" %} {% block content %}
single-class generation / canvas
spatial class-translation result


Matthew S. Falco
__________________________________
Education
Bachelor of Science, San Francisco State University
Major: Business Administration in Finance
Skills
Expert: Project Management, Business Development, Account Management
Intermediate: Financial Analysis, Captial Budgeting, Systems Modeling, HTML, CSS
Basic: Accounting, Dollar-Cost Averaging, Javascript, Python
Tools: Morningstar Direct, SalesForce CRM, Pivotal Tracker/Trello (Agile Project Management), Microsoft Excel(financial), POS Systems, Microsoft Visio, Adobe Design Suite, Sigma, Arena Modeling, Weld.io/Proto.io/Justinmind, WordPress, Zendesk, Git Hub, Browserstack/Selenium (Browser Automation)
Work Experience
COO, Selfiejobs Europe AB, May 2015-Ongoing
Stockholm, Sweden
Operations management, international expansion and team development.
- Bridge Funding Analysis and proposal creation for investor presentation and funding activities. Investor pitch deck, market research and competitor analysis.
- Team operations management and system controls implemented to increase platform security while maintaining production quality
- Managing international expansion to different EU countries. Incorporating full localization in iOS, Android and web applications. Signing and managing PR agencies activities to promote the brand and present our platform to our target B2B2C market.
Project Manager, Mondido Payments AB, November 2014-March 2015
Stockholm, Sweden
Project requirements, design and production of payment products. Managing integrations with new partners, payment technolgies and supplementary gateway services.
- Payment product design using HTML / CSS and produciton level prototyping. Incorporating visual responses (color change, notifications, focusing) per "event" to guide customers through the payment flow. Managing the implementation of logical input requirements to encourage users to provide valid input.
- Agile Project Management to incorporate customer feature requests with production goals, planning/organizing epics, summarizing technical documentation for development and client integration. Managment of company roadmap to maintain a specific timeline not to inhibit marketing and PR efforts.
- Integration and partner liaison to negotiate working contracts to establish a development ready environment for testing and implementation of payment orientated services.


Marie Yovanovitch: Trump 'Strengthened' Military Support for Ukraine
by Penny StarrMarie Yovanovitch, the former U.S. ambassador to the Ukraine, said in her prepared remarks on Friday during the House Intelligence Committee’s impeachment inquiry that President Donald Trump has strengthened military support for the besieged nation.
“The U.S. has provided significant security assistance since the onset of the war against Russia in 2014 and the Trump administration strengthened our policies by approving the provision to Ukraine of anti-tank missiles know as Javelins,” Yovanovitch said.
“Supporting Ukraine is the right thing to do,” Yovanovitch said.
Yovanovitch left her post before the July 25 phone call between Trump and Volodymyr Zelensky that launched the Democrat’s impeachment effort after the president ended her ambassadorship.
All parties involved in the partisan impeachment process, including U.S. diplomats, have acknowledged that Yovanovitch is no different in that she served at the pleasure of the president, who has the right and authority to name and dismiss diplomatic staff.
“A secure, Democratic and free Ukraine serves not just the Ukrainian people but the American people as well,” Yovanovitch said.
Democrats plan to hold more impeachment hearings next week.
Follow Penny Starr on Twitter


Location code
Alaska
Hawaii
California
Nevada
Oregon
Washington
Arizona
Colorado
Idaho
Montana
Nebraska
New Mexico
North Dakota
Utah
Wyoming
Alabama
Arkansas
Illinois
Iowa
Kansas
Kentucky
Louisiana
Minnesota
Mississippi
Missouri
Oklahoma
South Dakota
Texas
Tennessee
Wisconsin
Connecticut
Delaware
Florida
Georgia
Indiana
Maine
Maryland
Massachusetts
Michigan
New Hampshire
New Jersey
New York
North Carolina
Ohio
Pennsylvania
Rhode Island
South Carolina
Vermont
Virginia
West Virginia
Project code
Alaska
Hawaii
California
Nevada
Oregon
Washington
Arizona
Colorado
Idaho
Montana
Nebraska
New Mexico
North Dakota
Utah
Wyoming
Alabama
Arkansas
Illinois
Iowa
Kansas
Kentucky
Louisiana
Minnesota
Mississippi
Missouri
Oklahoma
South Dakota
Texas
Tennessee
Wisconsin
Connecticut
Delaware
Florida
Georgia
Indiana
Maine
Maryland
Massachusetts
Michigan
New Hampshire
New Jersey
New York
North Carolina
Ohio
Pennsylvania
Rhode Island
South Carolina
Vermont
Virginia
West Virginia
CB code
Alaska
Hawaii
California
Nevada
Oregon
Washington
Arizona
Colorado
Idaho
Montana
Nebraska
New Mexico
North Dakota
Utah
Wyoming
Alabama
Arkansas
Illinois
Iowa
Kansas
Kentucky
Louisiana
Minnesota
Mississippi
Missouri
Oklahoma
South Dakota
Texas
Tennessee
Wisconsin
Connecticut
Delaware
Florida
Georgia
Indiana
Maine
Maryland
Massachusetts
Michigan
New Hampshire
New Jersey
New York
North Carolina
Ohio
Pennsylvania
Rhode Island
South Carolina
Vermont
Virginia
West Virginia
Voucher No
Voucher date
Accounts voucher
Material voucher
Mechanical voucher
SRL No.1
Party Balance
A/C code
Party code
Narration
Amount
Debit
Credit
Chq/DD no
Chq date
Bill no
Bill date
OH func
OH unit
Bank
TDS no
Asset id
MRN no
MRN date
PO no
PO date
Bill srl no
Audited
Registered
Srl no
A/C code
Party code
Narration
Chq/DD no
Chq date
Bill no
Bill date
GST no
Debit
Credit
1
GST details & Expense for party
×
GST No
Exp. party
GST paid
Eligible
Reverse charges
M/C code
Signed by
State cd
Composite


{% include "includes/phase_banner_beta.html" %}
{% include "includes/secondary-nav-people.html" %}
{% include "includes/account-name-number.html" %}Employer payment failures
| Name |
Date of birth |
Status |
Conflict |
|
| William Wing |
1 June 2001 |
Payment will fail on 4 July 2017 |
Total cost of training for period 04 May 2017 to 19 May 2018 |
View |
| Susan Hamazaki |
12 October 1995 |
Change request |
01 October 2017 to 01 July 2018 |
View |
| David Jenkins |
05 June 1999 |
June 2017 payment adjustment |
01 June 2017 to 01 July 2018 |
View |
| Mel O'Connor |
01 May 1998 |
Endpoint assessment review |
|
View |
{% endblock %}


Fun Doc
First Section
Second Section
Third Section
Fourth Section
Fifth Section
First Section
Second Section
Third Section
Fourth Section
Fifth Section


Toggle navigation
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Organisations
Ordered by location
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Conventions
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Map
(current)
Search
Welcome to Anime cons
Your quick overview of the danish anime conventions
Upcoming events
Name
general info
address/lokation
link
description
Name
general info
address/lokation
link
description
Name
general info
address/lokation
link
description


enum class Range
Enum of ranges.
range - number of field horizontally or vertically
range
number of field horizontally or vertically
val range: Int
fun getRange(rank: Rank): Range


As an Engineering post-graduate, academic professional with 8 years of
teachingexperience, I have recently made the move into web development as I want to use my analytical and
detail oriented skills to create experiences that allow me to see the direct impact on the users.
I am engaging, adaptable, innovative and find solutions for problems by thinking out-of-the-box.
Technical skills
HTML/CSS
Javascript
Bootstrap
Git-hub
SalesforceAdministartor(begineer)
Ms-Office,Wordpress
Audit of Website,SEO
TRANSFERABLE SKILLS
Proactive
Adaptability
Problem Solving
Collaborate
Time management
Resilience
Organization
Education
Bootcamp of junior webdevelopment by GenerationAustralia facilitated by AcademyXi
Masters in Technology(Digital Electronics andCommunication)
Certificate III in EducationSupport - Holmesglen-TAFE
Experience
Bootcamp of Junior Web Developer -Generation Australia
Melbourne | Nov 2020- March 2021
Accepted into a 12 week intensive web development
program by Generation Australia facilitated by AcademyXi.
Skills and Languages covered: HTML, CSS, Bootstrap,
Javascript, along with Behavioural skills and Mindsets to
support job readiness.
Learning Support Officer / Teacher Aide - ANZUK
Melbourne | Sep 2019- Oct 2020
Assisted and worked with teachers closely in the classroom
supporting enhanced learning outcomes for the students
especially in Numeracy and Literacy (Prep to grade-6.
Mathematics and General ability TUTOR at North-Shore
Coaching College
Caulfield,Melbourne| Feb 2019 - Dec 2019
Volunteering
Code for Australia as front end web developer volunteer
St Kilda Mums as Salesforce Admin volunteer
Carnegie Primary School as Library Assistant
Volunteered at Purplesoft digital marketing agency


Scala ACME Library used at wasted.io
http://wasted.github.com/scala-acme/latest/api/#io.wasted.acme.AcmeClient
resolvers += "wasted.io/repo" at "http://repo.wasted.io/mvn"
libraryDependencies += "io.wasted" %% "wasted-acme" % "0.11.8"
Copyright 2012-2016 wasted.io Ltd<EMAIL_ADDRESS>Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


Hi {{fullname}}!
{{#phonenumber}} The registered phone number is {{phonenumber}} {{/phonenumber}}
{{^twitter}} There is no registered twitter account for this profile {{/twitter}}
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{{name}}
{{quantity}}
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Having read pro and con on the movie I have now seen it.
Here is the problem with it. While it is generally faithful to the novel, the future is brought up to date with the 1990s. Remember this was a novel for young teens written in the 1950s. Therefore no sex of any kind much less for teenagers. And not love triangles. It is all comraderie.
It is not that the first half of the movie drags waiting for the violence. It is that all the added scenes that set up the love interests are not Heinlein's and frankly do not fit with the style of the rest of it. While the rest of society might be permissive these are the people who have chosen to become citizens and permissiveness is contrary to the rest of the setting for the story. These are the people you would expect to call for lashing for permissive sex. If there is to be sex it is in the R&R section of the space station for money.
The problem this modernization introduces is less emphasis on the primary themes of the story as there is no time to tell it. The opening civics lecture is the main theme of the story and it is way too short. Development scenes for that lecture are missing such as the man who had failed for the fifth time being taken out in a wheel chair vowing to be back. Without this scene you get an impression it is all for the young and no one can be washed out.
  There is no war as this starts. Instead they all have bodies that look like they can not fail. Like they were the only ones accepted where the only civil right guaranteed to the non-citizen was the right to try as many times as he wanted. Only citizens had guaranteed civil rights even though non-citizens customarily had them.
And that is a problem as all of the training is physical, none moral, none the real theme of the story. We see exactly two quits when there should have been quits and washouts right and left. There is no portrayal that becoming a citizen is the goal of vast majority of society. We get the impression that it single point decision in life of a minority.
So the modernizations do not fit and they are at the expense of the original novel. That is important to see the motivation behind the people in battle.
And the battles scenes do portray the type of people the selection process of training is supposed to produce. But we do not see them being produced or selected or learning dedication.
As to the guaranteed fun part of the movie, great. Not only from the special effects, the pace, the events, but also attention to detail. The first hole they nuke has fine special effects. One part of it shows the flat earth jumping slightly delays.
With an extensive underground tunnel system that is what you would expect. But if that had not been included it would not be missed. With its inclusion, it is an attention to detail that is very much appreciated. Similarly when the bugs attack the ground fortification not only do they try to get over the walls but also start tearing at the structural supports. It is unusual in any movie of a siege where the attackers do more than one thing at a time.
Enough said. If the theaters only showed the second half twice in a row they could sell as many seats. You will like it, unless you believe violence never solves anything.
Yes there are technical problems. In combat training with live ammunition when people are hit by their mock targets they lose control of their bodies and fall to the ground. Of course they lose control of their weapons and a predictable accident occurs. Helmet or no the face is uncovered. It would have happened before.
This leads us to the cause of the above. In the original they wore powered full body armor including face covering. But in a movie everyone would look alike in body armor and then you can't tell the heroes even with a scorecard. In Star Wars this was solved by Darth Vader's fighter looking different than the others. This would have required six different styles and still no facial expressions visible.
There was also a thankful lack of bringing the novel up to date. Given when it was written, air power was not used in support of ground troops to any degree and ground troops didn't trust their own air force not to shoot them by accident. AND the troops did not get air support here either.
All in all, if there is ever a director's cut of this movie, it should cut the sex scenes for a 90 minute great movie.
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Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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+++ title = "San Francisco" lat = 37.775599 lon = -122.420654 +++
I was born there. No I wasn't, actually: I just felt like saying that. The last time I was in San Francisco was almost 7 years ago, and it's even more beautiful than I remember it. So much greenness, so much hilliness, and such a beautiful bay and bridge! This time, I spent a good 7 nights in the city, with 3 days being spent relaxing and cycling, and the other 4 days being spent at DrupalCon, down in lovely Sunnyvale.
{{< galleryphoto "2007-03-19-10-15-00--lovely-hilly-san-francisco.jpg" >}} {{< galleryphoto "2007-03-19-10-16-00--forbidding-alcatraz.jpg" >}} {{< galleryphoto "2007-03-19-10-17-00--golden-gate-bridge.jpg" >}}


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--- layout: page status: publish published: true title: Health Districts author: display_name: Jessie Pechmann login: jpechmann email<EMAIL_ADDRESS>url: '' author_login: jpechmann author_email<EMAIL_ADDRESS>wordpress_id: 3669 wordpress_url: http://gis.utah.gov/?page_id=3669 date: '2011-11-21 17:16:46 -0700' date_gmt: '2011-11-22 00:16:46 -0700' categories: [] tags: - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide ---
Data Type: GIS Data Layer
Steward(s): Utah Department of Health & AGRC
Abstract:
Health.HealthDistricts2015 contains the health districts in the state of Utah. These districts are often the main entity for reporting and tracking communicable diseases, as well as providing services to the community and state that include investigation of disease outbreaks, health education, health screenings and immunizations, and food regulation for establishments.
Usage: The DISTNAME field contains the district name.
There are no constraints or warranties with regard to the use of this dataset.
Last Update: This dataset is maintained by the Utah Department of Public Health.
Contact: AGRC
Links: Utah Department of Health, FGDC Metadata


|
Runtime
Version 1.0
PULP Kernel Library
|
Functions | |
| void | rt_event_sched_init (rt_event_sched_t *sched) |
| Creates an event scheduler. More... | |
| int | rt_event_alloc (rt_event_sched_t *sched, int nb_events) |
| Allocate new events. More... | |
| void | rt_event_free (rt_event_sched_t *sched, int nb_events) |
| Free events. More... | |
| rt_event_t * | rt_event_get (rt_event_sched_t *sched, void(*callback)(void *), void *arg) |
| Reserve an event and set its callback and argument. More... | |
| rt_event_t * | rt_event_get_permanent (rt_event_sched_t *sched, void(*callback)(void *), void *arg) |
| Reserve a permanent event and set its callback and argument. More... | |
| static rt_event_t * | rt_event_irq_get (void(*callback)(void *), void *arg) |
| Reserve an IRQ event and set its callback and argument. More... | |
| rt_event_t * | rt_event_get_blocking (rt_event_sched_t *sched) |
| Reserve an event for blocking wait. More... | |
| void | rt_event_push (rt_event_t *event) |
| Enqueue an event to a scheduler. More... | |
| int | rt_event_push_callback (rt_event_sched_t *sched, void(*callback)(void *), void *arg) |
| Enqueue a callback to a scheduler. More... | |
| static void | rt_event_execute (rt_event_sched_t *sched, int wait) |
| Execute all pending events. More... | |
| static void | rt_event_yield (rt_event_sched_t *sched) |
| Execute pending events. More... | |
| static rt_event_sched_t * | rt_event_internal_sched () |
| Return the internal runtime event scheduler. More... | |
| static void | rt_event_thread_sched (rt_thread_t *thread, rt_event_sched_t *sched) |
| Set a thread event scheduler. More... | |
| void | rt_event_wait (rt_event_t *event) |
| Block the execution until the event has been triggered. More... | |
| void | rt_event_push_delayed (rt_event_t *event, int time_us) |
| Enqueue an event to a scheduler after the specified amount of time. More... | |


Much of the future discussion on neural network language models will require at least an intuitive understanding of neural networks. This section aims to provide enough background and vocabulary to facilitate discussion of neural networks as a concept without becoming bogged down in a nontrivial amount of detail.
There are many other excellent introductions to neural networks that provide much more detail such as for a general mathematical treatment, or for a treatment specific to processing natural language.
If our intent is to produce intelligent, sophisticated statistical models, it is useful to motivate our model with the biological metaphor of a single neuron. Of course, our intent is not to emulate, nor is it to simulate a collection of biological neurons. We simply wish to motivate a mathematical discussion of a statistical model that has proved useful in data analysis, modeling, and prediction. In this spirit, we note that it is well beyond the scope of this paper to provide a biologically correct description of the hugely complex field of neuroscience. In fact, it would be reasonable to present neural networks devoid of any biological motivation simply as a mathematical model that has proven to be useful.
The figure above shows a "typical" neuron (of course there is no such thing) with various labeled components. In the most general sense, a neuron takes electrical stimulation through its dendrites, processes the received information, and under the right conditions emits a signal through its axon to the dendrites of an adjacent neuron . Somehow, through an organization of many such neurons, intelligent behavior emerges .
Even such a grossly simplified treatment of a neuron provides motivation for the artificial neuron shown below
The artificial neuron, called a unit, takes a fixed number of inputs \(x_0, \dots, x_n\), multiplies each with its corresponding weight, and adds the weighted inputs together before piping the result through the activation function \(f\). Note that if the inputs are treated as a column vector \(\vec x\), and the weights as a vector \(\vec w\), the output is the result of the operation \(y = f(\vec w \cdot \vec x)\).
Often it is useful to add a bias term \(b\)
\[y = f(\vec w \cdot \vec x + b)\]
by adding a fixed unitary input to the neuron. This allows us to treat the bias term exactly like one of the weights when assembling multiple such units together to form a network.
Presumably then, the intelligence of a neural network has something to do with how the units are assembled together, and with the magical weight values associated with each unit. Unlike the chaotic and organic layout in the human body, we assemble the artificial neurons into sequential layers, and connect the outputs of the previous layer to the inputs of the next.
When we treat the cells as a vertical layer, we get
\[\vec y = f(W^T \vec x + \vec b)\]
where each of the weight vectors \(\vec w\) for each cell is arranged into the matrix \(W\), and each of the \(y\)-values are concatenated to form \(\vec y\). Common choices for the activation function \(f\) are the hyperbolic tangent, sigmoid, rectified linear unit, and softmax functions. Note that the use of \(f\) in the above equation assumes that the same activation function is used for every unit in the layer.
Due to the large amount of homogeneity in the units for each layer, we almost never draw schematic diagrams of a network's architecture showing the individual units. Instead, we treat the layer of units as the basic abstraction as in the figure below
The dimension of each layer is shown at the top of each layer, and the activation function of the non-input layers is indicated below each layer. The underlying mathematical operation that this architecture defines is
\[\vec y = \softmax\left(W_2^T \tanh(W_1^T \vec x + \vec{b_1}) + \vec{b_2}\right)\]
where \(\vec{b_1}\) and \(\vec{b_2}\) are the implicit bias vectors, and \(W_1\) and \(W_2\) are the weight matrices for the \(\tanh\) and \(\softmax\) layers respectively.
Here, the softmax activation function
\[\softmax(\vec x) = \frac{\exp\left(\vec x\right)}{\sum\exp\left(\vec x\right)}\]
is applied element-wise to the vector \(\vec x\), and produces the vector \(\vec y\) which can be treated as a probability distribution over \(n\) values. That is, the vector \(y\) sums to 1. The softmax activation function is often used in neural networks whose output is to be treated as a probability, and will be used extensively in language modeling.


- listFiltered(Filter<T>[]) - Method in class dao.database.ProductionDAO
-
- listFiltered(Filter<T>...) - Method in interface dao.interfaces.DAO
-
Gets all objects of the DAO using filters
- LogAction - Enum in model.history
-
Types of actions that can be logged
- logCreate(User) - Method in class model.fleet.Vehicle
-
- logCreate(User) - Method in interface model.history.EditableObject
-
Create a log entry for the creating of the object
- logCreate(User) - Method in class model.insurance.VehicleInsurance
-
- logDelete(User) - Method in class model.fleet.Vehicle
-
- logDelete(User) - Method in interface model.history.EditableObject
-
Create a log entry for the deletion of the object
- LogEntry - Class in model.history
-
- LogEntry() - Constructor for class model.history.LogEntry
-
- LogEntry(UUID, User, LogAction, LogResource) - Constructor for class model.history.LogEntry
-
- LogEntry(UUID, User, LogAction, LogResource, Collection<Description>) - Constructor for class model.history.LogEntry
-
- LogEntryController - Class in controller
-
- LogEntryController(Function, DAOManager) - Constructor for class controller.LogEntryController
-
- LogEntryDAO - Interface in dao.interfaces
-
DAO for the bean LogEntry
Created by sam on 5/11/17.
- LogResource - Enum in model.history
-
- logUpdate(User, EditableObject) - Method in class model.fleet.Vehicle
-
- logUpdate(User, EditableObject) - Method in interface model.history.EditableObject
-
Create a log entry for the updating of the object
- logUpdate(User, EditableObject) - Method in class model.insurance.Surety
-
- logUpdate(User, EditableObject) - Method in class model.insurance.VehicleInsurance
-


Removes all dangling images (i.e. not in use)
rerun docker:clean-images
Use the stubbs:test
command to to run test plans.
rerun stubbs:test -m docker -p clean-images
Test plan sources
To edit the command script for the docker:clean-images command,
use the stubbs:edit
command. It will open the command script in your shell EDITOR.
rerun stubbs:edit -m docker -c clean-images
Script source
RERUN_MODULE_DIR/commands/clean-images/script
NAME
= clean-imagesDESCRIPTION
= "Removes all dangling images (i.e. not in use)"OPTIONS
= Generated by stubbs:docs Sat Mar 18 15:57:57 EDT 2017


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