We're presented with an audio file of a person playing guitar and saying clues. The first thing we must do is transcribe the guitar sounds and the clues. The title of the puzzle suggests that the specific guitar fret each note is played on is relevant, so instead of (or in addition to) notating the absolute pitches, we notate the guitar fret used.
| Chord | Frets | Clue | Answer |
|---|---|---|---|
| C/G | 335553 | Certain strength exercises | KEGELS |
| A7add9/C# | 977987 | Companion to lox | SHMEAR |
| F♯7 | 242322 | Famous trail | OREGON |
| E/B | 779997 | “Good heavens!” | OHDEAR |
| E57 | 020X00 | He served with Richard | SPIRO |
| F7 | 101211 | In a way, wrapped | VEILED |
| A° | 56X875 | It's a lake | HURON |
| C♯ | 986669 | Kind of Blue tune | SOWHAT |
| C♯mm7 | X42100 | Like many arcade games | RETRO |
| DM7/A | 55422X | Overseas greeting | HALLO |
| F♯add9 | X98699 | Predecessor of “Messages” | ICHAT |
| AM7sus2/G♯ | 40X454 | Prepares to cook, say | PEELS |
| B♭ | 653336 | Red and green fruits | MANGOS |
| E♭/B♭ | X11043 | Some have deep pockets | PITAS |
| B♭ | 688766 | Some Peet's products | MOCHAS |
| Cm | 865888 | Tot | RUGRAT |
| GM7/B | X20032 | Trad climbing implement | PITON |
| D7/F♯ | X97778 | “Turn on the fan!” | IMHOT |
| Fm | 133111 | Went off | VENTED |
| G♯7 | 4X4544 | You might hear them in court | PLEAS |
Due to the nature of the guitar, some of the 5-note chords could be played in multiple ways using different strings. An astute listener might be able to tell which string is sounding, but that is not necessary to solve the puzzle. For most of these, there only one feasible fingering (choice of strings and frets to play) unless your hands are enormous, but there are a few that need to be disambiguated by the next step.
The next thing we must do is solve the clues. This is complicated by the fact that several of them (e.g. taught/tot/taut) contain words that have several homophones.
Once we notice that the answers contain the same number of letters as there are notes in the corresponding chords, we might think to try to put the letters of the answers onto a guitar at the corresponding frets.
At this point, we can use the crossings to help us solve the rest of the clues. We may notice that most, but not all, of the letters are checked (clued by 2 clues). In fact, exactly one letter in each row is left unchecked, spelling the answer: SPOKEN WORD.


26.3 The Installer Tool
Gordon
McMillan has developed a richer and more general solution to the same
problem that py2exe solves—preparing compact
ways to package up Python applications for installation on end user
machines that may not have Python installed. The
Installer tool, freely downloadable from
http://www.mcmillan-inc.com/installer,
is more general than py2exe, which supports only
Windows platforms. Installer natively supports
Linux as well as Windows. Also,
Installer's portable,
cross-platform architecture may allow you to extend it to support
other Unix-like platforms with a reasonable amount of effort.
Installer does not rely on
distutils. To use Installer,
you must learn its own specification files' syntax
and semantics. Installer can do much more than
py2exe, so it's not surprising
that there is more for you to learn before making full use of it.
However, I recommend studying and trying out
Installer if you have the specific need of
building standalone Python applications for Linux or other Unix-like
architectures, or if you have tried py2exe and
found it did not quite meet your needs.
|


{% extends "application/layout.html" %} {% block page_title %}{{ serviceName }} - Start{% endblock %} {% block c_content %}
Back
Give details of any times you couldn't care for 35 hours a week - you could still be paid for this time.
For example, 30 9 2014


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Engineers can explore their ideas and get advices from experts. They can also get help in expanding their visions and ideas related to any fields.
Final Year Project (FYP) is an important subject which the student has to take in order to graduate from the university. The Final Year Project is comprised of Phase 1 and phase 2. Students must pass the Phase 1 in order to take the Phase 2. Students who are taking the project have to build a system or application that is related to Information Technology (IT) at the end of the semester to pass.
The FYP Management Portal is meant to help the FYP Committee byreducing the workload, making management of records easier and records are long-lasting. Italso allows the user to produce report easily with the clicks of few buttons located on the screen.
Our Self learning project kits help students learn practical software, electronics and mechanical development by providing all necessary materials needed to make it themselves with detailed video tutorials and learning documents in one single kit.It is like nevonprojects which provides free projects ideas and innovative concepts to boost student creativity and enthusiasm towards technology.You should use the projects database to view the list of potential Technical Supervisors, request a particular project or suggest your own project to a supervisor of your choice. To log in to the database you need to use your Sussex username and password.
“An investment in knowledge pays the best interest.”


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Arrays and Dictionaries with various value types in Swift
21 Jul 2014Xcode 6 Beta 3 brought some changes to sugar syntax for declaring Arrays and Dictionaries.
Here is how you can now create an Array with different value types:
/* Create an Array with different value types */
var arr: [Any] = ["aString", 1.23, true]
And here is the same for Dictionary:
/* Create a Dictionary with different value types */
var dict: [String:Any] = ["key1":"aString", "key2":1.23, "key3":true]


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Here's where you'll find a few ways that you can support PixelBeasts! We'll start simple:
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CHALLENGE 2: Update your Profile Pic
If you're so inclined, jump in on the trend! Test drive it to see how it feels :)
CHALLENGE 3: Find Token-Gated Tools
Know any tools we should test or projects we should collaborate with? Connect us!


no. 14| 06.06.2014 |
Affirmations, Revisited.
I just looked back at my “Affirming your values” blog post. The two things that stood out are how much focus I place on my friendships, and how low I rated “Creativity” and “Inventiveness” the night I wrote that post.
I actually value creativity and inventiveness very highly. Seeing how I rated them is a reminder of how much my outlook and point of view can change from moment to moment based on what’s going on in my life. It also suggests that my outlook is going to be changing a lot from day to day while I’m at DBC.
The strong focus on close relationships and friendships also points out how much I think DBC is going to impact that part of my life. I’ve decided to just take a leap and commit to staying in San Francisco after DBC.
I’m excited for that, but also a bit bewildered, anxious and sad too.
The connection to Stereotype Threat
Stereotype Threat, at it’s base, it about conception of self, and how that “self” plugs into any given environment. One of the things that’s interesting to me about being surrounded by people who have known me very well for many years, is that they hold a version of me that gets reflected back. When I’ve expressed doubt about DBC, they’ve reminded me that I can do this. Not because they’re being nice, but because they’ve seen me do things like this before. “Oh, yeah. You’re right. I forgot for a minute.”
Stereotype threat is often an unconscious process. Your sense of self, sense of ability, and sense of values gets all mushy without you necessarily realizing it. SF will initially be a place where I won’t have the same kind of reminders from others about my self in moments where I forget. The values exercise is a way to fill in for that. It’s a mindfulness exercise that can help sort out the genuine interior from the exterior of the moment.
Keeping up a meditation practice, exercise, activities that are fun and have nothing to do with DBC, getting together with the few friends and family members I have in SF, and taking time to look over that values list are all things I think I’ll be relying on in the next few months. And, of course, I’m really looking forward to building new friendships. (As well as visits from old peeps.)


Tsitsipas beats Federer to reach London final
Stefanos Tsitsipas kept his nerve in the key moments to beat six-time champion Roger Federer 6-3, 6-4 on Saturday and reach the final of the season-ending ATP Finals.
Tsitsipas saved 11 of 12 break points and took advantage of an error-filled performance from Federer — who continually put his opponent under pressure only to come up short when it mattered.
The Greek player next faces defending champion Alexander Zverev or Dominic Thiem.
Tsitsipas, who is making his first appearance at the event, saved all six break points he faced in the first set. That included two at 5-3, when he needed seven set points before finally winning a marathon game.
He broke again for a 2-1 lead in the second, then saved three break points from 0-40 in the next game before Federer finally converted his fourth to level the set.
But the 21-year-old Tsitsipas broke again straight away with a forehand winner and then saved two more break points from 15-40 down when serving for the match at 5-4.
He didn’t give the 38-year-old Federer any more chances of a comeback, serving out the match with an ace.
The 17-year age gap between the two players was the largest in the history of the tournament.
For Federer, it was a surprisingly erratic performance after he played near-flawless tennis to beat Novak Djokovic in straight sets on Thursday to reach the semifinals.
He finished that match with five unforced errors — including two double-faults — but had 26 in this match.
In the first set, he only lost six points on his serve. By contrast, he won 18 points on Tsitsipas’ serve but couldn’t force a break.
Tsitsipas was coming off a three-set loss to Rafael Nadal in his last round-robin match on Friday but showed no sign of fatigue.
Reaching the final is another milestone in a breakthrough season after he also beat Federer on the way to the Australian Open semifinals.
He is now 2-2 against Federer after losing to him in the Dubai final and Basel semifinals this year.


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Sprinkle the salt and ground turmeric onto a plate. Dredge the pieces of fish in the mixture until completely coated.
Heat 1-2 tablespoons of the oil in a frying pan over a medium to high heat. Add the coated fish pieces, then fry for 2-3 minutes, or until crisp, golden-brown and cooked through. Remove from the pan using a slotted spoon and set aside to drain on kitchen paper.
Heat the remaining 1-2 tablespoons of the oil in a separate pan. Add the mustard seeds, cover the pan with a lid, and fry until they start to pop. (CAUTION: Popping seeds can be dangerous. Keep the pan away from the eyes and face.)
Add the onion and curry leaves and continue to fry for a further 4-5 minutes.
Add the tomatoes, ginger, garlic, chilli and garam masala and continue to fry, stirring well, for 3-4 minutes.
Add the grated coconut cream and stir until dissolved. Bring the mixture to the boil, then reduce the heat and simmer until the sauce has thickened. Add 1-2 tablespoons of water to the mixture to loosen the mixture, as necessary.
Add the fried fish pieces to the sauce and cook until heated through.
To serve, spoon the rice onto four serving plates. Spoon the fish curry on top of the rice, then garnish with the coriander.


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5G-EmPOWER natively support multi-tenancy allowing MVNOs to specify RRM policies separately for each slice while ensuring performance isolation between and efficient spectrum utilization.
5G-EmPOWER is available under an Apache 2.0 License


I'm 32 years old. I moved to the USA when I was 15 years old. I am originally from Mexico. I have a family, wife and two daughters. My older daughter is 9 years old and my younger daughter is 2 years old. My background is in computer networking. I worked at gravity payments as a field support engineer.
I graduated from Renton Technical College with an associate degree in Computer Networking. After graduation I've work for a few different companies and held various different roles.I'm currently working at gravity payments as a field support engineer. I've been with that company for a bit over 4 years.
My goals when I complete the CodeFellows boot camp is to become a proffesional software developer. I have a big interest in learning more about software security. How to write secure code. Coming from the credit card processing industry, security is a huge for us since we deal with people's credit card data.
Most weekends are spend working on cars. I have a big facination for them. I considered myself a good car troubleshooter. There is no car I can't fixed. I've being doing it for about 2 years.
When the weather is good, My family and I like to go to the park. We take bike rides together. We go out to eat some food and dessert.


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[gecode-users] unassign variables
kTorpi
ktorpi at gmail.com
Tue Oct 1 13:45:12 CEST 2013
Hi Everyone,
Is there any way to unassign a variable?
In my application i'm building a model: creating variables and constraints
from them, thees constraints actually BoolExpr objects created using the
minimodel module.
At a point I'd like to solve the actual constraint (a BoolExpr), I solve
it, concrete values assigned to the variables that I created earlier, and
that the constraint created from. But later, I build other constraints from
these variables, and when I try to solve them, the variables are assigned
yet, but they should not be for me.
I tried to make copy of the vars, but if I use the copy constructor it
actually does not make a "hard copy". I also tried make hard copies like
this:
IntVar var(space, 0, 10);
IntVar hard_copy(space, var.min(), var.max());
but this method creats a totally new variable, which is not part of the
constraint to be solved. :(
Thank you,
Steve
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Issue 60
Welcome to another issue of Haskell Weekly! Haskell is a purely functional programming language that focuses on robustness, concision, and correctness. This is a weekly summary of what’s going on in its community.
Featured
-
Instead of just teaching you how to use the library, this post will demonstrate why you need it and how it works internally, to help you avoid some of the potential pitfalls of the library.
-
Announcing Weeder: dead export detection
Most projects accumulate code over time. To combat that, I’ve written Weeder which detects unused Haskell exports, allowing dead code to be removed (pulling up the weeds).
-
Dhall is now a template engine
Now you can use Dhall as a template engine with the newly released
dhall-text
library which provides adhall-to-text
executable for templating text. -
Front Row is hiring a senior backend Haskell engineer (ad)
Come change how 6.5+ million K-12 US students learn Math, Language Arts, Social Studies and more. Use data, advanced type systems, great product design and deep pedagogy to change lives.
-
In this post I’ll show how to make database programming fun by using packages that make testing easy. I’ll walk through a example of building a durable queue backed with PostgreSQL.
-
There are various good reasons why you might want to strip
ExceptT
from your Servant handlers. There are various good reasons why you wouldn’t want to do that. I’m in the first camp — I don’t wantExceptT
overIO
. -
On competing with C using Haskell
By writing very straight-forward pure, functional Haskell code without any special trickery, you can get performance equivalent to what you’d get by calling out to a C function, which is also in the same order of magnitude as the same algorithm implemented in a program completely written in C.
-
How well does it work? Profiling in Haskell
This is where benchmarking and profiling come in. We’re going to take a specific problem and learn how we can use some Haskell tools to zero in on the problem point.
-
This post develops a simple blockchain with the goal of understanding the basics of the chain. The most straightforward part of a blockchain is the chain itself, a sequence of blocks.
-
Mezzo: type-safe music composition
Its novelty is in the fact that it can enforce various rules of music composition statically, that is, at compile-time. This effectively means that if you write “bad” music, your composition will not compile — think of it as a very strict spell-checker for music.
-
Linear types 101 and its relevance to streams
It creates a resource aware type system, which not only knows types of values but also number of uses; a linearly typed value is guaranteed to only have one reference to it at any time, duplication or ignoring will not compile.
Package of the week
This week’s package of the week is async, a library that allows you to run IO operations asynchronously and wait for their results.


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Thank you for taking the time to help me improve the account
Which option best describes your current role ?
Would you recomment @aysedemirel GitHub account to a friend?
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What would you like to see improved on @aysedemirel GitHub account ? (Check all that apply)
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Any project idea?
Any comments or suggestion?


Bases: skimage.measure.fit.BaseModel
Total least squares estimator for 2D circles.
The functional model of the circle is:
r**2 = (x - xc)**2 + (y - yc)**2
This estimator minimizes the squared distances from all points to the circle:
min{ sum((r - sqrt((x_i - xc)**2 + (y_i - yc)**2))**2) }
The _params attribute contains the parameters in the following order:
xc, yc, r
A minimum number of 3 points is required to solve for the parameters.
Estimate circle model from data using total least squares.
| Parameters : | data : (N, 2) array
|
|---|
Predict x- and y-coordinates using the estimated model.
| Parameters : | t : array
params : (3, ) array, optional
|
|---|---|
| Returns : | xy : (..., 2) array
|
Determine residuals of data to model.
For each point the shortest distance to the circle is returned.
| Parameters : | data : (N, 2) array
|
|---|---|
| Returns : | residuals : (N, ) array
|
Bases: skimage.measure.fit.BaseModel
Total least squares estimator for 2D ellipses.
The functional model of the ellipse is:
xt = xc + a*cos(theta)*cos(t) - b*sin(theta)*sin(t)
yt = yc + a*sin(theta)*cos(t) + b*cos(theta)*sin(t)
d = sqrt((x - xt)**2 + (y - yt)**2)
where (xt, yt) is the closest point on the ellipse to (x, y). Thus d is the shortest distance from the point to the ellipse.
This estimator minimizes the squared distances from all points to the ellipse:
min{ sum(d_i**2) } = min{ sum((x_i - xt)**2 + (y_i - yt)**2) }
Thus you have 2 * N equations (x_i, y_i) for N + 5 unknowns (t_i, xc, yc, a, b, theta), which gives you an effective redundancy of N - 5.
The _params attribute contains the parameters in the following order:
xc, yc, a, b, theta
A minimum number of 5 points is required to solve for the parameters.
Estimate circle model from data using total least squares.
| Parameters : | data : (N, 2) array
|
|---|
Predict x- and y-coordinates using the estimated model.
| Parameters : | t : array
params : (5, ) array, optional
|
|---|---|
| Returns : | xy : (..., 2) array
|
Determine residuals of data to model.
For each point the shortest distance to the ellipse is returned.
| Parameters : | data : (N, 2) array
|
|---|---|
| Returns : | residuals : (N, ) array
|
Bases: skimage.measure.fit.BaseModel
Total least squares estimator for 2D lines.
Lines are parameterized using polar coordinates as functional model:
dist = x * cos(theta) + y * sin(theta)
This parameterization is able to model vertical lines in contrast to the standard line model y = a*x + b.
This estimator minimizes the squared distances from all points to the line:
min{ sum((dist - x_i * cos(theta) + y_i * sin(theta))**2) }
The _params attribute contains the parameters in the following order:
dist, theta
A minimum number of 2 points is required to solve for the parameters.
Estimate line model from data using total least squares.
| Parameters : | data : (N, 2) array
|
|---|
Predict x-coordinates using the estimated model.
| Parameters : | y : array
params : (2, ) array, optional
|
|---|---|
| Returns : | x : array
|
Predict y-coordinates using the estimated model.
| Parameters : | x : array
params : (2, ) array, optional
|
|---|---|
| Returns : | y : array
|
Determine residuals of data to model.
For each point the shortest distance to the line is returned.
| Parameters : | data : (N, 2) array
|
|---|---|
| Returns : | residuals : (N, ) array
|
| skimage.measure.approximate_polygon(coords, ...) | Approximate a polygonal chain with the specified tolerance. |
| skimage.measure.block_reduce(image, block_size) | Down-sample image by applying function to local blocks. |
| skimage.measure.find_contours(array, level) | Find iso-valued contours in a 2D array for a given level value. |
| skimage.measure.marching_cubes(volume, level) | Marching cubes algorithm to find iso-valued surfaces in 3d volumetric data |
| skimage.measure.mesh_surface_area(verts, tris) | Compute surface area, given vertices & triangular faces |
| skimage.measure.moments | Calculate all raw image moments up to a certain order. |
| skimage.measure.moments_central | Calculate all central image moments up to a certain order. |
| skimage.measure.moments_hu | Calculate Hu’s set of image moments. |
| skimage.measure.moments_normalized | Calculate all normalized central image moments up to a certain order. |
| skimage.measure.perimeter(image[, neighbourhood]) | Calculate total perimeter of all objects in binary image. |
| skimage.measure.ransac(data, model_class, ...) | Fit a model to data with the RANSAC (random sample consensus) algorithm. |
| skimage.measure.regionprops(label_image[, ...]) | Measure properties of labelled image regions. |
| skimage.measure.structural_similarity(X, Y) | Compute the mean structural similarity index between two images. |
| skimage.measure.subdivide_polygon(coords[, ...]) | Subdivision of polygonal curves using B-Splines. |
Approximate a polygonal chain with the specified tolerance.
It is based on the Douglas-Peucker algorithm.
Note that the approximated polygon is always within the convex hull of the original polygon.
| Parameters : | coords : (N, 2) array
tolerance : float
|
|---|---|
| Returns : | coords : (M, 2) array
|
References
| [R175] | http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm |
Down-sample image by applying function to local blocks.
| Parameters : | image : ndarray
block_size : array_like
func : callable
cval : float
|
|---|---|
| Returns : | image : ndarray
|
Examples
>>> from skimage.measure import block_reduce
>>> image = np.arange(3*3*4).reshape(3, 3, 4)
>>> image
array([[[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]],
- [[12, 13, 14, 15],
- [16, 17, 18, 19], [20, 21, 22, 23]],
- [[24, 25, 26, 27],
- [28, 29, 30, 31], [32, 33, 34, 35]]])
>>> block_reduce(image, block_size=(3, 3, 1), func=np.mean)
array([[[ 16., 17., 18., 19.]]])
>>> block_reduce(image, block_size=(1, 3, 4), func=np.max)
array([[[11]],
[[23]],
[[35]]])
>>> block_reduce(image, block_size=(3, 1, 4), func=np.max)
array([[[27],
[31],
[35]]])
Find iso-valued contours in a 2D array for a given level value.
Uses the “marching squares” method to compute a the iso-valued contours of the input 2D array for a particular level value. Array values are linearly interpolated to provide better precision for the output contours.
| Parameters : | array : 2D ndarray of double
level : float
fully_connected : str, {‘low’, ‘high’}
positive_orientation : either ‘low’ or ‘high’
|
|---|---|
| Returns : | contours : list of (n,2)-ndarrays
|
Notes
The marching squares algorithm is a special case of the marching cubes algorithm [R176]. A simple explanation is available here:
http://www.essi.fr/~lingrand/MarchingCubes/algo.html
There is a single ambiguous case in the marching squares algorithm: when a given 2 x 2-element square has two high-valued and two low-valued elements, each pair diagonally adjacent. (Where high- and low-valued is with respect to the contour value sought.) In this case, either the high-valued elements can be ‘connected together’ via a thin isthmus that separates the low-valued elements, or vice-versa. When elements are connected together across a diagonal, they are considered ‘fully connected’ (also known as ‘face+vertex-connected’ or ‘8-connected’). Only high-valued or low-valued elements can be fully-connected, the other set will be considered as ‘face-connected’ or ‘4-connected’. By default, low-valued elements are considered fully-connected; this can be altered with the ‘fully_connected’ parameter.
Output contours are not guaranteed to be closed: contours which intersect the array edge will be left open. All other contours will be closed. (The closed-ness of a contours can be tested by checking whether the beginning point is the same as the end point.)
Contours are oriented. By default, array values lower than the contour value are to the left of the contour and values greater than the contour value are to the right. This means that contours will wind counter-clockwise (i.e. in ‘positive orientation’) around islands of low-valued pixels. This behavior can be altered with the ‘positive_orientation’ parameter.
The order of the contours in the output list is determined by the position of the smallest x,y (in lexicographical order) coordinate in the contour. This is a side-effect of how the input array is traversed, but can be relied upon.
Warning
Array coordinates/values are assumed to refer to the center of the array element. Take a simple example input: [0, 1]. The interpolated position of 0.5 in this array is midway between the 0-element (at x=0) and the 1-element (at x=1), and thus would fall at x=0.5.
This means that to find reasonable contours, it is best to find contours midway between the expected “light” and “dark” values. In particular, given a binarized array, do not choose to find contours at the low or high value of the array. This will often yield degenerate contours, especially around structures that are a single array element wide. Instead choose a middle value, as above.
References
| [R176] | (1, 2) Lorensen, William and Harvey E. Cline. Marching Cubes: A High Resolution 3D Surface Construction Algorithm. Computer Graphics (SIGGRAPH 87 Proceedings) 21(4) July 1987, p. 163-170). |
Examples
>>> a = np.zeros((3, 3))
>>> a[0, 0] = 1
>>> a
array([[ 1., 0., 0.],
[ 0., 0., 0.],
[ 0., 0., 0.]])
>>> find_contours(a, 0.5)
[array([[ 0. , 0.5],
[ 0.5, 0. ]])]
Marching cubes algorithm to find iso-valued surfaces in 3d volumetric data
| Parameters : | volume : (M, N, P) array of doubles
level : float
spacing : length-3 tuple of floats
|
|---|---|
| Returns : | verts : (V, 3) array
faces : (F, 3) array
|
See also
Notes
The marching cubes algorithm is implemented as described in [R177]. A simple explanation is available here:
http://www.essi.fr/~lingrand/MarchingCubes/algo.html
There are several known ambiguous cases in the marching cubes algorithm. Using point labeling as in [R177], Figure 4, as shown:
v8 ------ v7
/ | / | y
/ | / | ^ z
v4 ------ v3 | | /
| v5 ----|- v6 |/ (note: NOT right handed!)
| / | / ----> x
| / | /
v1 ------ v2
Most notably, if v4, v8, v2, and v6 are all >= level (or any generalization of this case) two parallel planes are generated by this algorithm, separating v4 and v8 from v2 and v6. An equally valid interpretation would be a single connected thin surface enclosing all four points. This is the best known ambiguity, though there are others.
This algorithm does not attempt to resolve such ambiguities; it is a naive implementation of marching cubes as in [R177], but may be a good beginning for work with more recent techniques (Dual Marching Cubes, Extended Marching Cubes, Cubic Marching Squares, etc.).
Because of interactions between neighboring cubes, the isosurface(s) generated by this algorithm are NOT guaranteed to be closed, particularly for complicated contours. Furthermore, this algorithm does not guarantee a single contour will be returned. Indeed, ALL isosurfaces which cross level will be found, regardless of connectivity.
The output is a triangular mesh consisting of a set of unique vertices and connecting triangles. The order of these vertices and triangles in the output list is determined by the position of the smallest x,y,z (in lexicographical order) coordinate in the contour. This is a side-effect of how the input array is traversed, but can be relied upon.
To quantify the area of an isosurface generated by this algorithm, pass the outputs directly into skimage.measure.mesh_surface_area.
Regarding visualization of algorithm output, the mayavi package is recommended. To contour a volume named myvolume about the level 0.0:
>>> from mayavi import mlab
>>> verts, tris = marching_cubes(myvolume, 0.0, (1., 1., 2.))
>>> mlab.triangular_mesh([vert[0] for vert in verts],
... [vert[1] for vert in verts],
... [vert[2] for vert in verts],
... tris)
>>> mlab.show()
References
| [R177] | (1, 2, 3, 4) Lorensen, William and Harvey E. Cline. Marching Cubes: A High Resolution 3D Surface Construction Algorithm. Computer Graphics (SIGGRAPH 87 Proceedings) 21(4) July 1987, p. 163-170). |
Compute surface area, given vertices & triangular faces
| Parameters : | verts : (V, 3) array of floats
faces : (F, 3) array of ints
|
|---|---|
| Returns : | area : float
|
See also
Notes
The arguments expected by this function are the exact outputs from skimage.measure.marching_cubes. For unit correct output, ensure correct spacing was passed to skimage.measure.marching_cubes.
This algorithm works properly only if the faces provided are all triangles.
Calculate all raw image moments up to a certain order.
Note that raw moments are whether translation, scale nor rotation invariant.
| Parameters : | image : 2D double array
order : int, optional
|
|---|---|
| Returns : | m : (order + 1, order + 1) array
|
References
| [R178] | Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009. |
| [R179] | B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005. |
| [R180] | T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993. |
| [R181] | http://en.wikipedia.org/wiki/Image_moment |
Calculate all central image moments up to a certain order.
Note that central moments are translation invariant but not scale and rotation invariant.
| Parameters : | image : 2D double array
cr : double
cc : double
order : int, optional
|
|---|---|
| Returns : | mu : (order + 1, order + 1) array
|
References
| [R182] | Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009. |
| [R183] | B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005. |
| [R184] | T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993. |
| [R185] | http://en.wikipedia.org/wiki/Image_moment |
Calculate Hu’s set of image moments.
Note that this set of moments is proofed to be translation, scale and rotation invariant.
| Parameters : | nu : (M, M) array
|
|---|---|
| Returns : | nu : (7, 1) array
|
References
| [R186] | M. K. Hu, “Visual Pattern Recognition by Moment Invariants”, IRE Trans. Info. Theory, vol. IT-8, pp. 179-187, 1962 |
| [R187] | Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009. |
| [R188] | B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005. |
| [R189] | T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993. |
| [R190] | http://en.wikipedia.org/wiki/Image_moment |
Calculate all normalized central image moments up to a certain order.
Note that normalized central moments are translation and scale invariant but not rotation invariant.
| Parameters : | mu : (M, M) array
order : int, optional
|
|---|---|
| Returns : | nu : (order + 1, order + 1) array
|
References
| [R191] | Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009. |
| [R192] | B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005. |
| [R193] | T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993. |
| [R194] | http://en.wikipedia.org/wiki/Image_moment |
Calculate total perimeter of all objects in binary image.
| Parameters : | image : array
neighbourhood : 4 or 8, optional
|
|---|---|
| Returns : | perimeter : float
|
References
| [R195] | K. Benkrid, D. Crookes. Design and FPGA Implementation of a Perimeter Estimator. The Queen’s University of Belfast. http://www.cs.qub.ac.uk/~d.crookes/webpubs/papers/perimeter.doc |
Fit a model to data with the RANSAC (random sample consensus) algorithm.
RANSAC is an iterative algorithm for the robust estimation of parameters from a subset of inliers from the complete data set. Each iteration performs the following tasks:
These steps are performed either a maximum number of times or until one of the special stop criteria are met. The final model is estimated using all inlier samples of the previously determined best model.
| Parameters : | data : [list, tuple of] (N, D) array
model_class : object
min_samples : int
residual_threshold : float
is_data_valid : function, optional
is_model_valid : function, optional
max_trials : int, optional
stop_sample_num : int, optional
stop_residuals_sum : float, optional
|
|---|---|
| Returns : | model : object
inliers : (N, ) array
|
References
| [R196] | “RANSAC”, Wikipedia, http://en.wikipedia.org/wiki/RANSAC |
Examples
Generate ellipse data without tilt and add noise:
>>> t = np.linspace(0, 2 * np.pi, 50)
>>> a = 5
>>> b = 10
>>> xc = 20
>>> yc = 30
>>> x = xc + a * np.cos(t)
>>> y = yc + b * np.sin(t)
>>> data = np.column_stack([x, y])
>>> np.random.seed(seed=1234)
>>> data += np.random.normal(size=data.shape)
Add some faulty data:
>>> data[0] = (100, 100)
>>> data[1] = (110, 120)
>>> data[2] = (120, 130)
>>> data[3] = (140, 130)
Estimate ellipse model using all available data:
>>> model = EllipseModel()
>>> model.estimate(data)
>>> model._params
array([ 4.85808595e+02, 4.51492793e+02, 1.15018491e+03,
5.52428289e+00, 7.32420126e-01])
Estimate ellipse model using RANSAC:
>>> ransac_model, inliers = ransac(data, EllipseModel, 5, 3, max_trials=50)
>>> # ransac_model._params, inliers
Should give the correct result estimated without the faulty data:
[ 20.12762373, 29.73563061, 4.81499637, 10.4743584, 0.05217117]
[ 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,
21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37,
38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]
Robustly estimate geometric transformation:
>>> from skimage.transform import SimilarityTransform
>>> src = 100 * np.random.random((50, 2))
>>> model0 = SimilarityTransform(scale=0.5, rotation=1,
... translation=(10, 20))
>>> dst = model0(src)
>>> dst[0] = (10000, 10000)
>>> dst[1] = (-100, 100)
>>> dst[2] = (50, 50)
>>> model, inliers = ransac((src, dst), SimilarityTransform, 2, 10)
>>> inliers
array([ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36,
37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])
Measure properties of labelled image regions.
| Parameters : | label_image : (N, M) ndarray
properties : {‘all’, list}
intensity_image : (N, M) ndarray, optional
cache : bool, optional
|
|---|---|
| Returns : | properties : list
|
Notes
The following properties can be accessed as attributes or keys:
Spatial moments up to 3rd order:
m_ji = sum{ array(x, y) * x^j * y^i }
where the sum is over the x, y coordinates of the region.
Central moments (translation invariant) up to 3rd order:
mu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }
where the sum is over the x, y coordinates of the region, and x_c and y_c are the coordinates of the region’s centroid.
Normalized moments (translation and scale invariant) up to 3rd order:
nu_ji = mu_ji / m_00^[(i+j)/2 + 1]
where m_00 is the zeroth spatial moment.
Spatial moments of intensity image up to 3rd order:
wm_ji = sum{ array(x, y) * x^j * y^i }
where the sum is over the x, y coordinates of the region.
Central moments (translation invariant) of intensity image up to 3rd order:
wmu_ji = sum{ array(x, y) * (x - x_c)^j * (y - y_c)^i }
where the sum is over the x, y coordinates of the region, and x_c and y_c are the coordinates of the region’s centroid.
Normalized moments (translation and scale invariant) of intensity image up to 3rd order:
wnu_ji = wmu_ji / wm_00^[(i+j)/2 + 1]
where wm_00 is the zeroth spatial moment (intensity-weighted area).
References
| [R197] | Wilhelm Burger, Mark Burge. Principles of Digital Image Processing: Core Algorithms. Springer-Verlag, London, 2009. |
| [R198] | B. Jähne. Digital Image Processing. Springer-Verlag, Berlin-Heidelberg, 6. edition, 2005. |
| [R199] | T. H. Reiss. Recognizing Planar Objects Using Invariant Image Features, from Lecture notes in computer science, p. 676. Springer, Berlin, 1993. |
| [R200] | http://en.wikipedia.org/wiki/Image_moment |
Examples
>>> from skimage.data import coins
>>> from skimage.morphology import label
>>> img = coins() > 110
>>> label_img = label(img)
>>> props = regionprops(label_img)
>>> props[0].centroid # centroid of first labelled object
>>> props[0]['centroid'] # centroid of first labelled object
Compute the mean structural similarity index between two images.
| Parameters : | X, Y : (N,N) ndarray
win_size : int
gradient : bool
dynamic_range : int
|
|---|---|
| Returns : | s : float
grad : (N * N,) ndarray
|
References
| [R201] | Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13, 600-612. |
Subdivision of polygonal curves using B-Splines.
Note that the resulting curve is always within the convex hull of the original polygon. Circular polygons stay closed after subdivision.
| Parameters : | coords : (N, 2) array
degree : {1, 2, 3, 4, 5, 6, 7}, optional
preserve_ends : bool, optional
|
|---|---|
| Returns : | coords : (M, 2) array
|
References
| [R202] | http://mrl.nyu.edu/publications/subdiv-course2000/coursenotes00.pdf |


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wc(1) - Linux man page
Name
wc - print newline, word, and byte counts for each file
Synopsis
wc [OPTION]... [FILE]...
wc [OPTION]... --files0-from=F
Description
Print newline, word, and byte counts for each FILE, and a total line if more than one FILE is specified. With no FILE, or when FILE is -, read standard input.
- -c, --bytes
- print the byte counts
- -m, --chars
- print the character counts
- -l, --lines
- print the newline counts
- --files0-from=F
- read input from the files specified by NUL-terminated names in file F; If F is - then read names from standard input
- -L, --max-line-length
- print the length of the longest line
- -w, --words
- print the word counts
- --help
- display this help and exit
- --version
- output version information and exit
Sample Code
Number of lines
$ wc -l a_file
Number of words
$ wc -w a_file
Count of bytes
$ wc -c a_file
Count of characters
$ wc -m a_file
Length of longest line
$ wc -L a_file
Author
Written by Paul Rubin and David MacKenzie.
Reporting Bugs
Report wc bugs to<EMAIL_ADDRESS>GNU coreutils home page:
<http://www.gnu.org/software/coreutils/>
General help using GNU software:
<http://www.gnu.org/gethelp/>
Report wc translation bugs to
<http://translationproject.org/team/>
Copyright
Copyright Â© 2010 Free Software Foundation, Inc. License GPLv3+:
GNU GPL version 3 or later
<http://gnu.org/licenses/gpl.html>.
This is free software: you are free to change and redistribute it.
There is NO WARRANTY, to the extent permitted by law.
See Also
The full documentation for wc is maintained as a Texinfo manual. If the info and wc programs are properly installed at your site, the command
info coreutils aqwc invocationaq
should give you access to the complete manual.
Referenced By
flowdumper(1), gc(1), ip(8), nop(1), xs(1)


NOTE: This method is now obsolete.
Use Fix property
Fixes instance fields that hold volatile data.
true
to not fix data that takes a long time to fix.Some of the values in instances of LoggingEvent are considered volatile, that is the values are correct at the time the event is delivered to appenders, but will not be consistent at any time afterwards. If an event is to be stored and then processed at a later time these volatile values must be fixed by calling FixVolatileData. There is a performance penalty for incurred by calling FixVolatileData but it is essential to maintaining data consistency.
The fastButLoose param controls the data that is fixed. Some of the data that can be fixed takes a long time to generate, therefore if you do not require those settings to be fixed they can be ignored by setting the fastButLoose param to true
. This setting will ignore the LocationInformation and UserName settings.
Set fastButLoose to false
to ensure that all settings are fixed.
LoggingEvent Class | log4net.Core Namespace | LoggingEvent.FixVolatileData Overload List


Call for Papers
9th International Symposium on Search Based Software Engineering (SSBSE 2017)
co-located with ESEC/FSE’17 Paderborn, Germany, September 9-11, 2017
http://ssbse17.github.io
Research Paper Track
We invite the submission of high quality papers describing novel and original work in all areas of Search-Based Software Engineering including, but not limited to
- applications of SBSE to novel problems,
- theoretical analyses of search algorithms for software engineering,
- rigorous empirical evaluations of SBSE techniques,
- reports of industrial experiences.
SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods ranging from:
- exact Operational Research techniques to
- nature-inspired algorithms and simulated annealing.
We particularly encourage papers that report on software engineering applications to which SBSE has not been applied before.
Research papers must have up to 15 pages in length, including all text, figures, references and appendices.
Short Paper Track
We also invite short papers presenting new ideas, tools, experience reports, or novel techniques and ideas, which will be included in the proceedings and presented at the symposium. Papers submitted to this track should not exceed 6 pages in length using the regular symposium format.
Student Track
We also invite students to submit papers to a special Student track. This track gives students the opportunity to showcase their SBSE research and receive feedback from senior members of the SBSE community. Papers submitted to this track should not exceed 6 pages in length using the regular symposium format. To be eligible, papers should be primarily the work of students that have not yet completed their studies. The paper may have co-authors who are not students but the student author is expected to present the paper at the symposium.
SBSE Challenge Track
We challenge everyone interested in SBSE to apply tools, techniques, and algorithms to our selected problems. We want you to apply your SBSE expertise to do interesting things to or with the software and uncover interesting things related to it. The best competition entries will be awarded special prizes. Challenge papers should not exceed 6 pages in length using the regular symposium format. More details about the track will be announced on the website.
Tutorials
2 page proposals for 1 hour tutorials covering state-of-the-art SBSE methods. Proposals must describe what will be presented and why this might be of interest to this community. Proposals will be selected on their novelty, technical content, track record of the presenter and, ideally, degree of interactivity with the audience.
Transfer talks
Invited talks from authors publishing innovative work relevant to SBSE, originally presented at other forums. To nominate speakers for such talks, please email<EMAIL_ADDRESS>Conference Proceedings
Accepted papers will be published in a volume of the Springer Lecture Notes in Computer Science series (LNCS).
Best Paper Awards and Travel Grants
Research and Student papers accepted for presentation at SSBSE 2017 will be considered for prizes. More details about prizes and travel grants will be announced on the website.
Special Section in IST for Best Papers
Following from the conference, a selection of best papers will be invited to submit extended versions for tentative publication in a Special Section of the journal of Information and Software Technology published by Elsevier http://www.elsevier.com/locate/infsof.
Key Dates
RESEARCH PAPER TRACK:
- Abstract submission March 31, 2017
- Paper Submission April 7, 2017
- Notification May 14, 2017
- Camera Ready June 14, 2017
SHORT PAPER, STUDENT AND SBSE CHALLENGE TRACKS:
- Submission May 21, 2017
- Notification June 7, 2017
- Camera ready: TBD
Submission site: https://easychair.org/conferences/?conf=ssbse2017


Candy Warhol
31 Oct 2009Another Halloween candied tidal wave has washed over us. Holden is upstairs asleep. Daisy is watching a movie, eating popcorn, with a friend. This is the first Halloween that I have not walked the sidewalks of Candyland with my children. They both chose to pick the fruits of the candied Fall on their own this year. Daisy travelled in a pack of girls with themed and matching costumes. Holden walked alone, positively Warholian in his demeanor.
Sitting on the porch after everyone has assumed their nighttime positions, I realize how these sweet children show me the way. Their kindness and creativity and bravery, like a note by an alarm clock, remind me who I need to be.


Important lesson to learn from Buddha
Important lesson to learn from Buddha
Important lesson to learn from Buddha
- There is suffering in this world
- Source of suffering is desires
- You can avoid this suffering by removing desires
Important lesson to learn from Buddha
Important lesson to learn from Buddha
Important lesson to learn from Buddha


• What is your long term goal and or career pathway?
Long term goals are to finish with current working situation and move towards a more technical area such as coding or networking
• What skills (non-technical - human skills) would you like to see developed in yourself while at EDA?
Working on projects as a team. Being able to lead and follow the teams.
• A commitment as to how and where you will seek help in a timely way.
Help can be found in many ways but in a learning situation should only be done after at least trying some solutions. It may take longer but trial and error teach more than simply being told.
• A description of what you expect from the facilitation team
The team must be around when they say they will be. They must be patient and not cynical because they know what to do and must understand that no one will learn, teach or even try in the same way. Some charge ahead, some sit back and ponder others will seemingly ignore everything but in that way are processing their own way.
• Any scheduling information such as block-out times when you are committed to other things.
TBA.
• For example, you might have whanau commitments such as school drop-offs. It’s important to plan these in.
Morning drop offs will be a problem.


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You are viewing an historical archive of past issues. Please
report new issues to the appropriate project issue tracker on
GitHub.
Comments
-
Greg Hurrell
Have a look at the FAQ.
-
anonymous
Ah, that clears things up. I was able to download and revert to the promo version. Thanks.
-
Greg Hurrell
Excellent, glad to hear it.
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Greg Hurrell
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--- layout: post title: "Asynchronous functors" description: "Asynchronous computations form functors. An article for object-oriented programmers." date: 2018-09-24 3:37 UTC tags: [Software Design] image: "/content/binary/equivalence-of-task-and-async.png" image_alt: "Equivalence of Task and Async." --- {% include JB/setup %}
{{ page.description }}
This article is an instalment in an article series about functors. The previous article covered the Lazy functor. In this article, you'll learn about closely related functors: .NET Tasks and F# asynchronous workflows.
A word of warning is in order. .NET Tasks aren't referentially transparent, whereas F# asynchronous computations are. You could argue, then, that .NET Tasks aren't proper functors, but you mostly observe the difference when you perform impure operations. As a general observation, when impure operations are allowed, the conclusions of this overall article series are precarious. We can't radically change how the .NET languages work, so we'll have to soldier on, pretending that impure operations are delegated to other parts of our system. Under this undue assumption, we can pretend that Task<T> forms a functor.
You can write an idiomatic Select
extension method for Task<T>
like this:
public async static Task<TResult> Select<T, TResult>( this Task<T> source, Func<T, TResult> selector) { var x = await source; return selector(x); }
With this extension method in scope, you can compose asynchronous computations like this:
Task<int> x = // ... Task<string> y = x.Select(i => i.ToString());
Or, if you prefer query syntax:
Task<int> x = // ... Task<string> y = from i in x select i.ToString();
In both cases, you start with a Task<int>
which you map into a Task<string>
. Perhaps you've noticed that these two examples closely resemble the equivalent Lazy functor examples. The resemblance isn't coincidental. The same abstraction is in use in both places. This is the functor abstraction. That's what this article series is all about, after all.
The difference between the Task functor and the Lazy functor is that lazy computations don't run until forced. Tasks, on the other hand, typically start running in the background when created. Thus, when you finally await
the value, you may actually not have to wait for it. This does, however, depend on how you created the initial task.
The Select
method obeys the first functor law. As usual in this article series, actually proving that this is the case belongs to the realm of computer science. Instead of proving that the law holds, you can use property-based testing to demonstrate that it does. The following example shows a single property written with FsCheck 2.11.0 and xUnit.net 2.4.0.
[Property(QuietOnSuccess = true)] public void TaskObeysFirstFunctorLaw(int i) { var left = Task.FromResult(i); var right = Task.FromResult(i).Select(x => x); Assert.Equal(left.Result, right.Result); }
This property accesses the Result property of the Tasks involved. This is typically not the preferred way to pull the value of Tasks, but I decided to do it like this since FsCheck 2.4.0 doesn't support asynchronous properties.
Even though you may feel that a property-based test gives you more confidence than a few hard-coded examples, such a test is nothing but a demonstration of the first functor law. It's no proof, and it only demonstrates that the law holds for Task<int>
, not that it holds for Task<string>
, Task<Product>
, etcetera.
As is the case with the first functor law, you can also use a property to demonstrate that the second functor law holds:
[Property(QuietOnSuccess = true)] public void TaskObeysSecondFunctorLaw( Func<string, byte> f, Func<int, string> g, int i) { var left = Task.FromResult(i).Select(g).Select(f); var right = Task.FromResult(i).Select(x => f(g(x))); Assert.Equal(left.Result, right.Result); }
Again the same admonitions apply: that property is no proof. It does show, however, that given two functions, f
and g
, it doesn't matter if you map a Task in one or two steps. The output is the same in both cases.
F# had asynchronous workflows long before C#, so it uses a slightly different model, supported by separate types. Instead of Task<T>
, F# relies on a generic type called Async<'T>. It's still a functor, since you can trivially implement a map
function for it:
module Async = // 'a -> Async<'a> let fromValue x = async { return x } // ('a -> 'b) -> Async<'a> -> Async<'b> let map f x = async { let! x' = x return f x' }
The map
function uses the async
computation expression to access the value being computed asynchronously. You can use a let!
binding to await the value computed in x
, and then use the function f
to translate that value. The return
keyword turns the result into a new Async
value.
With the map
function, you can write code like this:
let (x : Async<int>) = // ... let (y : Async<string>) = x |> Async.map string
Once you've composed an asynchronous workflow to your liking, you can run it to compute the value in which you're interested:
> Async.RunSynchronously y;; val it : string = "42"
This is the main difference between F# asynchronous workflows and .NET Tasks. You have to explicitly run an asynchronous workflows, whereas Tasks are usually, implicitly, already running in the background.
The Async.map
function obeys the first functor law. Like above, you can use FsCheck to demonstrate how that works:
[<Property(QuietOnSuccess = true)>] let ``Async obeys first functor law`` (i : int) = let left = Async.fromValue i let right = Async.fromValue i |> Async.map id Async.RunSynchronously left =! Async.RunSynchronously right
In addition to FsCheck and xUnit.net, this property also uses Unquote 4.0.0 for the assertion. The =!
operator is an assertion that the left-hand side must equal the right-hand side. If it doesn't, then the operator throws a descriptive exception.
As is the case with the first functor law, you can also use a property to demonstrate that the second functor law holds:
[<Property(QuietOnSuccess = true)>] let ``Async obeys second functor law`` (f : string -> byte) g (i : int) = let left = Async.fromValue i |> Async.map g |> Async.map f let right = Async.fromValue i |> Async.map (g >> f) Async.RunSynchronously left =! Async.RunSynchronously right
As usual, the second functor law states that given two arbitrary (but pure) functions f
and g
, it doesn't matter if you map an asynchronous workflow in one or two steps. There could be a difference in performance, but the functor laws don't concern themselves with the time dimension.
Both of the above properties use the Async.fromValue
helper function to create Async
values. Perhaps you consider it cheating that it immediately produces a value, but you can add a delay if you want to pretend that actual asynchronous computation takes place. It'll make the tests run slower, but otherwise will not affect the outcome.
The reason I've covered both Task<T>
and Async<'a>
in the same article is that they're equivalent. You can translate a Task to an asynchronous workflow, or the other way around.
There's performance implications of going back and forth between Task<T>
and Async<'a>
, but there's no loss of information. You can, therefore, consider these to representations of asynchronous computations isomorphic.
Whether you do asynchronous programming with Task<T>
or Async<'a>
, asynchronous computations form functors. This enables you to piecemeal compose asynchronous workflows.
Next: Set is not a functor.


Westpac veteran asks what went wrong
by Karen Maley-
‘Queen Ann’ may have left fashion, but her style’s still on the table
-
Friends in feathers share flight of fancy
-
Designers switch to gender neutral jewellery
-
Harvey Norman’s Slovenian love story
-
Mail-order meat on the menu for ‘most beautiful butcher in the world’


Happy World Radio Day 2017
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Joining us from all around the world are over twenty fantastic speakers, here to share their stories.
Enjoy three inspiring and action-packed days of talks, gathering, and all-around good times.
Within the heart of downtown Chicago. The Chicago Theatre will provide a beautiful conference venue.


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PRIVATE PARTS A film review by Ben Hoffman Copyright 1997 Ben Hoffman
Right up front I have to admit that before attending a screening of PRIVATE PARTS, the only thing I knew about Howard Stern was based on the occasional articles I had read in the Los Angeles Times. None of it was flattering. I was, therefore, expecting to see an outrageously disgusting display by this top-rated radio talk-show host.
However, to my surprise, I found him a warm person, a devoted husband and a loving father.  College-educated in Communications, he seems to have learned more than many who are currently executives in radio and TV.
Howard's goal was to stop being hired and fired by every radio station all over the country. He wanted to be number one, have a secure job, and do things his way. He then surrounded himself with some wonderful people, notably Robin Quivers, elevating her from just reading the weather reports to engaging in exchanges with Howard. How the executives railed against that! How they screamed that they were losing advertising clients. All of this, of course, until the ratings started coming in and they realized they had a gold mine. So, if Howard Stern is disgusting, what can one say of those who hired him, wanted to fire him, but succumbed to the ratings? Who has fewer decent values?
The "utterly without redeeming qualities" of many of his gags are, pitifully, funny but I am not about to enumerate them. My understanding is that the director and Stern both did not want to soft-pedal any of what really has taken place on some of his shows, so we get to see a few choice ones. Even as we gag, we laugh. Some are so infantile, it speaks volumes about the public that adores him. One executive explained that of those who listen to his programs, there are those who love him and want to know what next outrageous thing he is going to say or do. For those who watch but hate him, they do it because they want to know what next outrageous thing he is going to say or do. So there you have the reason for his large audience, as well as the sales of his book, PRIVATE PARTS.
Mention must be made of the cast, many of whom are real-life people from his show as well as others who make this a very funny movie: In addition to Howard and Robin, there are Mary McCormack who plays his wife; Fred Norris who plays himself as he has been on Stern's show as engineer for some 18 years; Jack Martling, the show's real head writer; Gary Dell'Abate, the producer of Howard's show . . . and a dozen others who contribute to the film, including some stunning nudes.
So, if you are squeamish, perhaps you ought to stay away. But if you are able, as I was, to enjoy the spectacle of Howard Stern putting everyone on . . . and I have no doubt but that is exactly what he is doing, . . I suggest you catch PRIVATE PARTS and get yourself a good laugh while learning about the phenomenon that is Howard Stern.
Directed by Betty Thomas
3 Bytes
4 Bytes = Superb 3 Bytes = Too good to miss 2 Bytes = Average 1 Byte = Save your money
Ben Hoffman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Dental nurse
Dental nurses help dentists to care for their patients, and may also carry out reception work and other tasks.
1. How to become a dental nurse
There are 3 main routes into dental nursing:
- study at college for a Level 3 Diploma in Dental Nursing
- start as unqualified trainee with a dental practice and train on the job
- do an apprenticeship in dental nursing
Once you qualify you’ll need to register with the General Dental Council. You’ll also need to pass enhanced background checks.
College
To do a Level 3 Diploma in Dental Nursing you’ll need at least 5 GCSEs at grades 9 to 4 (A* to C), including maths and English language.
You can study full time, or 1 day a week while you work in a surgery for the rest of the week.
Health Careers has a list of approved training organisations.
You may be able to get financial help to study.
Apprenticeship
Many dental surgeries offer advanced apprenticeships where you can work towards the Level 3 Diploma in Dental Nursing.
You’ll usually need GCSEs at grades 9 to 4 (A* to C), including maths, English language and science. Employers may also accept equivalent level 2 qualifications.
2. Skills
You'll need:
- practical skills
- a calm, confident and reassuring manner
- the ability to relate well to people, including children and those with special needs
- organisational skills
3. What you'll do
Your day-to-day tasks may include:
- passing instruments to the dentist or hygienist
- removing water and saliva from the patient's mouth during treatment
- preparing materials to make fillings
- making sure that the patient is relaxed and comfortable at all times
- keeping the surgery tidy and sterile
- sterilising instruments
- helping record information about each patient
You may also help at the reception area, booking appointments, taking payments for treatment and greeting and reassuring patients.
You may work at a general dental practice, a hospital, with the community dental service or in a university. You could also work in the armed forces.
4. Salary
Starter: £17,000 to £19,750
Experienced: £22,000 to £28,500 (dental nurse specialist)
Pay rates are roughly the same in the NHS and private practice.
These figures are a guide.
5. Working hours, patterns and environment
You'll usually work from 9am to 5pm, Monday to Friday, and sometimes evenings if the practice opens during the evening.
If you work in a hospital's dental department you may be on call at nights and weekends for emergencies.
You'll wear a uniform and protective clothing such as surgical gloves, safety glasses and a mask.
You'll be standing for most of the day.
6. Career path and progression
With experience you may be able to move into jobs like team manager, team leader or dental practice manager.
With further training you could become a dental therapist, helping a dentist carry out the more routine dentistry work. You could also become a dental hygienist, helping people to look after their teeth and gums.
You might decide to train as an orthodontic therapist helping dentists to improve the look and position of a patient's teeth.
Health Careers has information on careers in all areas of the dental team.
Related careers
You may be interested in:
7. Current opportunities
Apprenticeships
Apprentice Dental Nurse
- Weekly wage: £131.25
- Weekly hours: 37.50
Apprentice Dental Nurse
- Weekly wage: £115.15
- Weekly hours: 30
Training courses
Certificate in Dental Radiography
- Provider: WAKEFIELD COLLEGE
- Start date: 01 July 2016
Higher apprenticeship for Dental Technicians (underpinned by FDSc Dental Technology)
- Provider: THE UNIVERSITY OF BOLTON
- Start date: 23 January 2017
Last updated: 23 March 2016


- Listen to this jam, show 'em what you got
- Inbox, fresh
- First things first, I'm the realest (realest)
- Drop this and let the whole world feel it (let 'em feel it)
- And I'm still in the murder business
- I can hold you down, like I'm givin' lessons in physics (right)
- You should want a bad bitch like this (ha)
- Drop it low and pick it up just like this (yeah)
- Cup of Ace, cup of Goose, cup of Cris
- High heels, somethin' worth a half a ticket on my wrist (on my wrist)
- Takin' all the liquor straight, never chase that (never)
- Rooftop like we bringin' '88 back (what)
- Bring the hooks in, where the bass at?
- Champagne spillin', you should taste that
- I'm so fancy
- You already know
- I'm in the fast lane
- From L.A. to Tokyo
- I'm so fancy
- Can't you taste this gold
- Remember my name, 'bout to blow
- I said baby, I do this, I thought that, you knew this
- Can't stand no haters and honest, the truth is
- And my flow retarded, they speak it, depart it
- Swagger on super, I can't shop at no department
- Better get my money on time, if they not money, decline
- And swear I meant that there so much that they give that line a rewind
- So get my money on time, if they not money, decline
- I just can't worry 'bout no haters, gotta stay on my grind
- Now tell me, who that, who that?
- That do that, do that?

- You're so good, he's just wishing he could bite it, huh? (say what what?)
- Never turn down money
- Slaying these hoes, gold trigger on the gun like
- I'm so fancy
- You already know
- I'm in the fast lane
- From L.A. to Tokyo
- I'm so fancy
- Can't you taste this gold
- Remember my name, 'bout to blow
- Who that, who that, I-G-G-Y
- That do that, do that, I-G-G-Y
- Who that, who that, I-G-G-Y
- (Blow)
- Who that, who that, I-G-G-Y
- That do that, do that, I-G-G-Y
- Who that, who that, I-G-G-Y
- (Blow)
Fancy (Lyrics)
by Iggy Azela


Intro about app
"To enjoy good health, to bring true happiness to one's family, to bring peace to all, one must first discipline and control one's own mind. If a man can control his mind he can find the way to Enlightenment, and all wisdom and virtue will naturally come to him. "
Buddha"There's nothing more important than our good health - that's our principal capital asset."
arien specter"To keep the body in good health is a duty... otherwise we shall not be able to keep our mind strong and clear."
Buddha


K-Drama Fans Overwhelmed With Joy as Kim Woo-bin Comeback on Screens Confirmed
The 40th Blue Dragon Film Awards was not only marked by prizes, but also the appearance of one of Korea’s most beloved actors, Kim Woo Bin, after 2.5 years of absence.
Kim Woo-bin made his official return on stage on 21 November during the 40th Blue Dragon Film Awards in Incheon.
He has thus appeared in public for the first time since May 2017, when he was in the midst of shooting the film “Wiretap” by director Choi Dong-hoon and his fans in Korea and abroad were shocked by news that he had been diagnosed with nasopharyngeal cancer. During this whole time, his girlfriend Shin Min-a, who is also a famous actress, supported him amid his drug and radiation treatment.
Luckily, the diagnosis was determined in time, so the actor stopped all his activities and started a serious treatment course.
Fans are full of joy that their favourite actor is back and hope that the disease won't be back.
Kim Woo-bin debuted as a model in 2008 and started his acting career in 2011 in dramas such as "School 2013" and "The Heirs ", which made him famous. In 2016, he took on his first leading role on television in "Uncontrollably Fond".
In April 2017, Kim was appointed as an honorary ambassador for the 2018 Winter Olympics in Pyeongchang, making him the second actor to take on this role, and was set to take part in various activities to promote the event. However, he was pulled from the role due to his ongoing cancer treatment. The actor is currently in talks for a new film by director Choi Dong-hoon.


public final class DefaultFilenamePolicy extends FileBasedSink.FilenamePolicy
FileBasedSink.FilenamePolicy
for windowed and unwindowed files. This policy is constructed
using three parameters that together define the output name of a sharded file, in conjunction
with the number of shards, index of the particular file, current window and pane information,
using constructName(org.apache.beam.sdk.io.fs.ResourceId, java.lang.String, java.lang.String, int, int, java.lang.String, java.lang.String)
.
Most users will use this DefaultFilenamePolicy
. For more advanced uses in generating
different files for each window and other sharding controls, see the WriteOneFilePerWindow
example pipeline.
| Modifier and Type | Class and Description |
|---|---|
static class |
DefaultFilenamePolicy.Params
Encapsulates constructor parameters to
DefaultFilenamePolicy . |
static class |
DefaultFilenamePolicy.ParamsCoder
A Coder for
DefaultFilenamePolicy.Params . |
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
DEFAULT_UNWINDOWED_SHARD_TEMPLATE
The default sharding name template.
|
static java.lang.String |
DEFAULT_WINDOWED_SHARD_TEMPLATE
The default windowed sharding name template used when writing windowed files.
|
| Modifier and Type | Method and Description |
|---|---|
static DefaultFilenamePolicy |
fromParams(DefaultFilenamePolicy.Params params)
Construct a
DefaultFilenamePolicy from a DefaultFilenamePolicy.Params object. |
static DefaultFilenamePolicy |
fromStandardParameters(ValueProvider<ResourceId> baseFilename,
java.lang.String shardTemplate,
java.lang.String filenameSuffix,
boolean windowedWrites)
Construct a
DefaultFilenamePolicy . |
void |
populateDisplayData(DisplayData.Builder builder)
Populates the display data.
|
ResourceId |
unwindowedFilename(int shardNumber,
int numShards,
FileBasedSink.OutputFileHints outputFileHints)
When a sink has not requested windowed or triggered output, this method will be invoked to
return the file
resource to be created given the base output directory and
a FileBasedSink.OutputFileHints containing information about the file, including a suggested (e.g. |
ResourceId |
windowedFilename(int shardNumber,
int numShards,
BoundedWindow window,
PaneInfo paneInfo,
FileBasedSink.OutputFileHints outputFileHints)
When a sink has requested windowed or triggered output, this method will be invoked to return
the file
resource to be created given the base output directory and a
FileBasedSink.OutputFileHints containing information about the file, including a suggested
extension (e.g. |
public static final java.lang.String DEFAULT_UNWINDOWED_SHARD_TEMPLATE
public static final java.lang.String DEFAULT_WINDOWED_SHARD_TEMPLATE
public static DefaultFilenamePolicy fromStandardParameters(ValueProvider<ResourceId> baseFilename, @Nullable java.lang.String shardTemplate, @Nullable java.lang.String filenameSuffix, boolean windowedWrites)
DefaultFilenamePolicy
.
This is a shortcut for:
DefaultFilenamePolicy.fromParams(new Params()
.withBaseFilename(baseFilename)
.withShardTemplate(shardTemplate)
.withSuffix(filenameSuffix)
.withWindowedWrites())
Where the respective with
methods are invoked only if the value is non-null or true.
public static DefaultFilenamePolicy fromParams(DefaultFilenamePolicy.Params params)
DefaultFilenamePolicy
from a DefaultFilenamePolicy.Params
object.@Nullable public ResourceId unwindowedFilename(int shardNumber, int numShards, FileBasedSink.OutputFileHints outputFileHints)
FileBasedSink.FilenamePolicy
resource
to be created given the base output directory and
a FileBasedSink.OutputFileHints
containing information about the file, including a suggested (e.g.
coming from Compression
).
The shardNumber and numShards parameters, should be used by the policy to generate unique and consistent filenames.
unwindowedFilename
in class FileBasedSink.FilenamePolicy
public ResourceId windowedFilename(int shardNumber, int numShards, BoundedWindow window, PaneInfo paneInfo, FileBasedSink.OutputFileHints outputFileHints)
FileBasedSink.FilenamePolicy
resource
to be created given the base output directory and a
FileBasedSink.OutputFileHints
containing information about the file, including a suggested
extension (e.g. coming from Compression
).
The policy must return unique and consistent filenames for different windows and panes.
windowedFilename
in class FileBasedSink.FilenamePolicy
public void populateDisplayData(DisplayData.Builder builder)
FileBasedSink.FilenamePolicy
populateDisplayData
in class FileBasedSink.FilenamePolicy


Phez Public API Example (HTML, JavaScript, jQuery)
Top Posts
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Top Subphezes
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User Details
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Subphez Top Posts
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Specify the length of the password
68
Include Lower Case Alphabets
Include Upper Case Alphabets
Include Numbers
Include Special Characters
Default : Lower Case Alphabet


The Smart Solution for Today's Commuter
Death to Traffic
Be one of the first to sign up as a driver! With a planned public launch date in Portland, Oregon in 2015 be one of the first to sign up. The more trips you make as a driver using the app in the first two years from launch date the more shares in the company you will gain. The driving motivation behind PoolRyde is not only finding a sustainable solution to the problem of traffic and pollution, connecting people with each other, and making your commute quicker, easier, and more efficient, but also demonstrating that every good idea doesn’t have to turn into a “big business” idea that disproportionately profits the 1%.{% block login %}
{% endblock login %}
{% block login_success %}
{% endblock login_success %}
{% block register_success %}
{% endblock register_success %}
{% block profile %}
{% endblock profile %}
{% block edit_profile %}
{% endblock edit_profile %}


Example of morphometrics measured from a subaqueous landslide. For more information, please see this paper.
{% include "head.html" with title="Measurement" %}
{% include "navbar.html" %}Example of morphometrics measured from a subaqueous landslide. For more information, please see this paper.


--- layout: default title: Carousel slug: components/carousel ---
A slideshow component for cycling through elements, like a carousel. Nested carousels are not supported.

...

...

...

Previous

Next

The carousel component is generally not compliant with accessibility standards. If you need to be compliant, please consider other options for presenting your content.
Bootstrap exclusively uses CSS3 for its animations, but Internet Explorer 9 don't support the necessary CSS properties. Thus, there are no slide transition animations when using these browsers. We have intentionally decided not to include jQuery-based fallbacks for the transitions.
The .active
class needs to be added to one of the slides. Otherwise, the carousel will not
be visible.
Add captions to your slides easily with the .carousel-caption
element within any
.item
. Place just about any optional HTML within there and it will be automatically aligned and
formatted.

...

...

Carousels require the use of an id
on the outermost container (the .carousel
) for
carousel controls to function properly. When adding multiple carousels, or when changing a carousel's id
,
be sure to update the relevant controls.
Use data attributes to easily control the position of the carousel. data-slide
accepts the
keywords prev
or next
, which alters the slide position relative to its current
position. Alternatively, use data-slide-to
to pass a raw slide index to the carousel data-slide-to="2"
,
which shifts the slide position to a particular index beginning with 0
.
The data-ride="carousel"
attribute is used to mark a carousel as animating starting at page
load. It cannot be used in combination with (redundant and unnecessary) explicit
JavaScript initialization of the same carousel.
Call carousel manually with:
$('.carousel').carousel()
Options can be passed via data attributes or JavaScript. For data attributes, append the option name to
data-
, as in data-interval=""
.
| Name | type | default | description |
|---|---|---|---|
| interval | number | 5000 | The amount of time to delay between automatically cycling an item. If false, carousel will not automatically cycle. |
| pause | string | "hover" | Pauses the cycling of the carousel on mouseenter and resumes the cycling of the carousel on mouseleave. |
| wrap | boolean | true | Whether the carousel should cycle continuously or have hard stops. |
| keyboard | boolean | true | Whether the carousel should react to keyboard events. |
.carousel(options)
Initializes the carousel with an optional options object
and starts cycling through items.
$('.carousel').carousel({
interval: 2000
})
.carousel('cycle')
Cycles through the carousel items from left to right.
.carousel('pause')
Stops the carousel from cycling through items.
.carousel(number)
Cycles the carousel to a particular frame (0 based, similar to an array).
.carousel('prev')
Cycles to the previous item.
.carousel('next')
Cycles to the next item.
Bootstrap's carousel class exposes two events for hooking into carousel functionality.
Both events have the following additional properties:
direction
: The direction in which the carousel is sliding (either "left"
or
"right"
).
relatedTarget
: The DOM element that is being slid into place as the active item.All carousel events are fired at the carousel itself (i.e. at the

).
| Event Type | Description |
|---|---|
| slide.bs.carousel | This event fires immediately when the slide instance method is invoked. |
| slid.bs.carousel | This event is fired when the carousel has completed its slide transition. |
$('#myCarousel').on('slide.bs.carousel', function () {
// do something…
})


Give your ideas we will make it real!
Find Out MoreAt KYOTO TECH we practice the e-Governance that can make public administration fast and effective, provide better services, and respond to the demands of transparency and accountability!
Though We are not completely paperless but this motto has drived us from last couple of years to reduce half paper consumption!
Be Paperless! Go Green! Think Green ! Act Green !
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You can use this theme as is, or you can make changes!
We update dependencies to keep things fresh.
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