It’s been thirty years now since my first encounter with psychedelics and since the beginning I have found them to be true allies; worthy of great respect and care. I’ve been blessed with many wonderful and enlightening days and nights, enriching my whole life in many ways (and plenty of good clean fun, lest I sound too serious). It’s meaningless to try and say which was the best, how much better than perfect can you get?
If asked, though, which was the most singular and affecting I can say. Its quality has remained since, both in my “ordinary” life as well as occasional subsequent journeys. I hesitate to even attempt a report on this evening, for I can’t possibly do it justice, yet I am moved to try anyway.
Setting:
1995, my home in Kona on the island of Hawaii.
Set:
I am spending a week alone until my sweetheart (“J” in my report “the gods make love”) arrives from the mainland. It’s a good season, I am well and happy and feel the time is ripe for a session; sometimes there seems a “call” from within and I’ve never regretted answering. There are no particular questions or issues on my mind to confront, I just know it’s right.
Materials:
I have a bit of pure crystalline MDMA obtained through a trusted friend from the experienced chemist who synthesized it; the mushrooms are Copelandia Cyanescens (psilocybin/psilocin), personally gathered from a pasture near here and carefully dried. Some very good buds of cannabis round out the menu.
The plan is simple, start with the MDMA, then the ‘shrooms. Once I’ve decided on a session I can feel myself getting ready for a day or two, I’m not really very disciplined, but I don’t take these things cavalierly.
On the appointed day I tidy up the house a bit, set out a candle or two, select some music, shower and dress comfortably. I’ve also prepared a pipe with some primo ganga, a puff or two at the right time really works wonders without dulling the experience. As sunset approaches a calm anticipation within confirms the choice, tonight at twilight.
T=0
100mg. MDMA in a small clear gel cap, with 6 oz. of water. I just sit quietly in the fading light, feeling no apprehension; I trust my old allies, all is well.
T+0:45
2 grams of ground up dried Copelandia Cyanescens in gel caps, a fairly strong dose for these potent fungi. Another glass of water.
T+1:00
As reliable as clockwork the MDMA state arrives, as if I’ve crossed in an instant through a unseen door. The suddenness of the transition and its gentle yet profound character is unlike any other material I know of. Soon the mushrooms become evident as mind and heart join in expanding delight. Unlike taking them alone (which I have done more often, both before and since) the rising is seamless and devoid of any strange bodily feelings or yawning. I’ve noticed that this calm spirit is more evident when I come on to the ‘shrooms alone since, with no feeling of apprehension, just a little bodily transition.
T+1:30
Time for a toke on the pipe, one is plenty for now. As always, the ganga potentiates the psychedelic beautifully. I decide against any music for now and go up the hill behind the house to our small “retreat shack”.
The evening is exquisite, clear and just a little cool, with myriad stars sparkling above. God, I love this place, this hillside, this sweet Hawaii. Waves of gratitude sweep through my whole body, washing away any residue of dissatisfaction or reluctance; all around me is blessing. The night air breathes itself into me, through me and beyond, my chest feels almost transparent in some physical way that expands slowly to fill (or empty) my entire being. I have to sit down, lotus style, as everything lets itself go; the thought occurs (is it mine?), this is slipping into a
++++. I look up at the stars, am the stars on shimmering velvet sky. Immanent perfection is all around me, flooding me, there is nothing to hold on to as all is laid bare.
now lying down on futon all sky all breath all life even the idea of separation dissolves layer by layer weavings of personal selves fall away like layers of onion one by one no center no thoughts no intention no game left at all stars piercing naked heart no self everywhere aware unbounded overflowing emptiness
silent ocean fleeting thought droplet in still water ripples out astonishment wonder beauty no thought knowing all still water still
all whole all broken joy sorrow root bliss heart beating breath joining wind earth sky all hearts aching ever still water tender ripples passing
ever passing
The night breeze sliding down from the mountain, the rustling leaves of grass and trees, the smell of earth and its life, the wide eyed figure lying on the futon are all one, self is nowhere and everywhere centerless center.
T+5:00
Slowly, very quietly and gently the circles of identity begin to gather themselves up one by one, in no rush, trusting somehow all is working perfectly.
Am i still here? What does it mean, here, i? Am i this overflowing heart, is all heart my heart all heart? How is there all this when i disappear, how is everything left, so clear and aware. All thinking and feeling, striving and personality take place at the surface of this great ocean of awareness; their mechanisms run themselves, i don’t have to make it all work, to hold myself into being. Do i stop breathing if i forget to think about it?
This naked heart feels so deeply, is pierced so readily, no wonder we weave such shields around it; yet if we let the cut all the way through we are still here, alive and made whole even in breaking. This is our great treasure, the deepest well, bottomless, inexhaustible; we are not just ourselves.
I get up and drink some more water, guess I’m really still here. Another puff of ganga and I pull my legs in to sit up straight. My body has never been more relaxed, completely motionless until I slowly feel into it and remember how to move. The threads of my personal being are at ease and and in no hurry to “be somebody” even as they regain their functioning. The oceanic clarity and tenderness is too delicious, they love it too; after all what else am I, personally and specifically? I am perfectly happy to sit here with these quiet thoughts, and the deep ocean that underlies them all. I realize that I’m hopelessly in love, I have no objection.
The soft animal flesh, the longing heart, indeed all life is intrinsically vulnerable and contingent. Love and hate, joy, sorrow, affection, fear, anger etc. all arise, personally as well as evolutionarily in response to this fundamental vulnerability. All forms pass.  It hurts.  It’s only natural, life elaborating itself in the intertwining lives and deaths of countless trillions had to struggle, to reach, to know pain and pleasure.
When you *really* get this, not just as an abstract idea but as inescapable experience you lose your “fundamental objection” to the conditions of existence. Of course in your day by day life as a human being you may well (and rightly) object to any number of things, yet you are reconciled to the ultimate way, knowing it “in your bones”, and perhaps realizing that you always knew, but for the veils of desire and aversion. How else could you see it in a moment, as many do; after all this is not a complicated, esoteric knowledge. It seems so simple that it should be virtually obvious to any normally intelligent person, indeed it may sound almost stupid when first heard in words. The struggle to avoid pain and death, to get what we want preoccupies us, narrows our vision and conditions us against seeing beyond our noses, our personal concerns. Ironic, but perfectly natural, even as liberation is perfectly natural. It’s so simple, yet the challenge is to make a life of it all.
I realize this has all been said many times before, and more eloquently, in brief it’s the
Buddha’s “noble truths”.
T+6:30
Time for bed, back in my room I slip quickly into deep, dreamless sleep.
In the morning I awake at my usual time, glad to have a few days left without any outside obligations, though I know it wouldn’t really be a problem.  In the days to follow a poem begins to form in my mind, compelling me to write it down. This is very unusual for me, it doesn’t seem as if I composed it, nor did it come from somewhere else. I’ve carried a copy of it with me ever since, I include it at the end of this report.
Although I didn’t come to any really new beliefs or concepts as a result I’m amazed at the unqualified totality of immersion. The “experience” was virtually devoid of any imagery or intellectual insights. For about three eternal hours there were essentially no thoughts or sense of personal identity at all, but an oceanic clarity of awareness, a kind of abiding in knowing without thinking. “I” was utterly transparent, with an overflowing of emptiness flooding up through my heart, deeper than any specific emotion, a kind of “ground state” of heart and mind, before differentiation into the arising and flow of thoughts and feelings.
At no time did I lose awareness of body, place or context, all was subsumed into this vast, timeless ocean. Only later did I begin to reflect on it all. This state was not unknown to me but never before so extended and complete, perhaps that’s why the essence has not left me or faded with time. Of course I’m still a human being, capable of sorrow as well as joy, anger and upset as well as love and tenderness; yet the deep ocean is always there, as close as my breath, a day doesn’t go by that I completely forget. I know my way home and am profoundly grateful.
Before I go I’ll hazard one bit of advice for my fellow explorers:
Wherever and however you journey don’t forget your heart. We go through our lives with the sense that there’s some mysterious secret to uncover, some way to “beat the game”, never quite realizing that we are the game and the secret sings in us, all around us everywhere. There’s nothing to beat. Your heart already knows everything that matters.
Aloha Nui Loa,
Hokulea
JEWEL
jewel on velvet
trembling black
diamond needles
pierce my soul
pinned to the stars
slit open and spilled
out like water
i am undone
still as death
naked as birth
heart laid bare
to every breeze
overflowing yet
with emptiness
heaven shudders
and i am gone
broken and mended
with one stroke
the flood loosed
flames consuming
skin to marrow
breath and bone
the sky my body
i am no more
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


I was born in the south of Brazil and I moved to Utah 2 years ago. I have a dog, his name is Esquilo, which means “squirrel” in English. We named him after the movie Up! I’m a fan of sports, but mostly to watch. My favorite sport is soccer and I love watching all the games, even the ones of small teams that nobody knows about. I also love playing video games! I play every time I can, in my phone, in my computer, on TV... I am very interested in aircrafts and dinosaurs. I enjoy listening to Podcasts about them and also about curiosities, economy, geography and history.
I graduated in IT almost ten years ago and I have done some endorsements since then, but I am very excited with the opportunity to refresh my skills and learn more in this course. One of the big challenges and goals that I have is to develop my speaking skills in English, although I understand it very well, I know that I have to work in my articulation abilities. I am looking forward to learn more about web development and work with this. I am a very patient and determined person and I believe these aspects will help me accomplish my goals.


Transfer Learning for Crisis Response
Used RoBERTa to transfer knowledge across organizations to improve classification effectiveness for organizations with smaller amount of available training data. Work done as part of the AMLD 2020 Challenge.
AppService for Building Depot
Building a managed AppService using Flask and Nginx for hosting IoT apps in discrete LXC containers. Created REST APIs for other systems to be able to interact with AppService and deploy third party apps. Work done as part of Synergy Labs, CMU.
Workplace Automation and Server Management
TARS is a bot that can auto-verify assignments, track student progress, provide updates on office hours, run polls and more in a slack workspace. Work done as part of Solarillion Foundation.
Pollen Grain Classification
Built a two-stage segmentation and classification approach to classify pollen grain images. Work will be presented at ICPR 2020 Challenge Workshop.
Forecasting the On-time performance of flights
Designed a two stage predictive Machine Learning Engine that forecasts the On-time performance of flights using Weather Data in the US.
Spotify Sequential Skip Prediction
Predicted whether individual tracks encountered in a listening session will be skipped based on the first half of a user’s listening session. Submission ranked in the top 3% in the challenge jointly conducted by Spotify and AICrowd.


Video Video_Album Song Lrc Search 动漫 影视 MV
Title | name
singer
singerCH
Src
Description
Tags(connect by "&&&")
Color
Album
CH
Lrc


π is the ratio between the circumference and the diameter of a circle on a flat plane.
`pi = "circumference" / "diameter" `The ratio is the same for any size circle. Try measuring π yourself on plates and bowls and bicycle wheels!
The value of π is about 3.14 which is about 22 ÷ 7. But π is an irrational number. It can't be written accurately as a fraction of whole numbers. The digits of π can never be written down completely - it would require an infinite number of digits. Writing all those digits would take forever, and besides, no one knows what all the digits are!
Even though mathematicians have known about π for thousands of years, new ways to calculate π are still being discovered. Below are a few famous ways mathematicians have discovered to calculate more and more of π.
The proportion of random points in the circle should be proportional to the area of the circle compared to the area of the square. i.e.:
`"points in circle" / "total points" = π / 4`
`π = 4* "points in circle" / "total points"`
| points in circle: | |
| total points: | |
| estimated π: | |
| accuracy: |
The Indian mathematician Nilakantha Somayaji reported this infinite series. It converges to π:
`π = 3 + 4 / ((3^3 - 3)) - 4 / ((5^3 - 5)) + 4 / ((7^3 - 7)) - 4 / ((9^3-9)) + ... `
which is equivalent to the following (can you see why?):
`π = 3 + 4 / ((2 * 3 * 4)) - 4 / ((4 * 5 * 6)) + 4 / ((6 * 7 * 8)) - 4 / ((8 * 9 * 10)) + ... `
Each term in the series is smaller than the last. As we add more and more terms together, the sum gets closer and closer to π.
| total terms | |
| estimated π: | |
| accuracy: |
|
| terms: | |
| polygon sides: | |
| estimated π: | |
| accuracy: |


--- layout: post title: development tags: [] status: publish type: post published: true meta: {} ---
Here the creative meets technology. Implementing the carefully crafted design into a dynamic database driven web site is our speciality.
We are comfortable developing solutions using PHP, ColdFusion, Java/JSP and .NET at the application level. The databases that drive our applications have been MySQL/Oracle and Microsoft SQL server. At the interface level we develop solely using xHTML and CSS.
Whatever your preferred platform we can accommodate your requirements thanks to our exposure to a plethora of platforms running on both Unix and Windows, served by IIS, Apache or Tomcat.
What if we told you that we could deliver solutions that are leaner, faster loading, cross platform compatible and easier to maintain?? When it comes to the interface, web standards deliver massive gains. Leaner code delivers smaller pages, which in turn download faster and save on bandwidth. Separating content from presentation means easier maintenance and cross platform/device compatibility.
These are the promises of web standards based design and implementation, but don?t take our word for it, see the business cases put forward by others: The business of Web Standards, Using xHTML/CSS for an effective SEO campaign and The business value of web standards.


ATS module¶
-
ATS.
Annulus
(N=200, r=1, R=2, seed=None)[source]¶ Returns point cloud sampled from uniform distribution on annulus in R^2 of inner radius r and outer radius R
- Parameters
N (int) – Number of points to generate
r (float) – Inner radius of the annulus
R (float) – Outer radius of the annulus
seed (float) – Fixes the seed. Good if we want to replicate results.
- Returns
Numpy 2D array – A Nx2 numpy array with the points drawn as the rows.
-
ATS.
Circle
(N=100, r=1, gamma=None, seed=None)[source]¶ Generate N points in R^2 from the circle centered at the origin with radius r.
If gamma != None, then we add normal noise in the normal direction with std dev gamma.
- Parameters
N (int) – Number of points to generate
r (float) – Radius of the circle
gamma (float or 'None') – Stan dard deviation of the normally distributed noise.
seed (float or 'None') – Fixes the seed. Good if we want to replicate results.
- Returns
numpy 2D array – A Nx2 numpy array with the points drawn as the rows.
-
ATS.
Clusters
(N=100, centers=array([[0, 0], [3, 3]]), sd=1, seed=None)[source]¶ Generate k clusters of points, N points in total. k is the number of centers.
- Parameters
N (int) – Number of points to be generated
centers (numpy array) – k x d numpy array, where centers[i,:] is the center of the ith cluster in R^d.
sd (numpy array) – standard deviation of clusters.
seed (float) – Fixes the seed.
- Returns
numpy array – A Nxd numpy array with the points drawn as the rows.
-
ATS.
Cube
(N=100, diam=1, dim=2, seed=None)[source]¶ Generate N points in the box [0,diam]x[0,diam]x…x[0,diam]
- Parameters
N (int) – Number of points to generate
diam (float) – lenght of one side of the box
dim (int) – Dimension of the box; point are embbeded in R^dim
- Returns
numpy array – A Nxdim numpy array with the points drawn as the rows.
-
ATS.
Sphere
(N=100, r=1, noise=0, seed=None)[source]¶ Generate N points in R^3 from the sphere centered at the origin with radius r. If noise is set to a positive number, the points can be at distance r +/- noise from the origin.
- Parameters
N (int) – Number of points to generate
r (float) – Radius of the sphere
seed (float) – Fixes the seed. Good if we want to replicate results.
- Returns
Numpy 2D array – A Nx3 numpy array with the points drawn as the rows.
-
ATS.
Torus
(N=100, r=1, R=2, seed=None)[source]¶ Generates torus with points x = ( R + r*cos(theta) ) * cos(psi), y = ( R + r*cos(theta) ) * sin(psi), z = r * sin(theta)
- Parameters
N (int) – Number of points to generate
r (float) – Inner radius of the torus
R (float) – Outer radius of the torus
seed (float) – Fixes the seed. Good if we want to replicate results.
- Returns
numpy 2D array – A Nx3 numpy array with the points drawn as the rows.
-
ATS.
box_centers
(list_dgms, d, padding)[source]¶ This function computes the collection of centers use to define tent functions, as well as the size the tent.
- Parameters
list_dgms (list) – List of persistent diagrmas
d (int) – number of a bins in each axis.
padding (float) – this increases the size of the box aournd the collection of persistent diagrmas
- Returns
numpy array, float – d x 2 array of centers, size of the tent domain
-
ATS.
f_box
(x, center, delta)[source]¶ Computes the function
\[g_{(a,b), \delta}(x) = \max \left\{ 0,1 - \frac{1}{\delta} \max\left\{ | x-a | , | y-b | \right\} \right\}\]- Parameters
x (numpy array) – point to evaluate the function \(g_{(a,b), \delta}\).
center (numpy array) – Center of the tenf function.
delta (float) – size fo the tent function domain.
- Returns
float – tent function \(g_{(a,b), \delta}(x)\) evaluated at x.
-
ATS.
f_dgm
(dgm, function, **keyargs)[source]¶ Given a persistend diagram \(D = (S,\mu)\) and a compactly supported function in \(\mathbb{R}^2\), this function computes
\[\nu_{D}(f) = \sum_{x\in S} f(x)\mu(x)\]- Parameters
dgm (Numpy array) – persistent diagram, array of points in \(\mathbb{R}^2\).
function (function) – Compactly supported function in \(\mathbb{R}^2\).
keyargs (Dicctionary) – Additional arguments required by funciton
- Returns
float – value of \(\nu_{D}(f)\).
-
ATS.
f_ellipse
(x, center=array([0, 0]), axis=array([1, 1]), rotation=array([[1, 0], [0, 1]]))[source]¶ Computes a bump function centered with an ellipsoidal domain centered ac c, rotaded by ‘rotation’ and with axis given by ‘axis’. The bump function is computed using the gollowing formula
\[f_{A,c} (x) = \max \left\{ 0, 1 - (x - c)^T A (x - c)\right\}\]- Parameters
x – point to avelatuate the function \(f_{A,c}\)
center (Numpy array) – center of the ellipse
axis (Numpy array) – Size f themjor an minor axis of the ellipse
rotation (Numpy array) – Rotation matrix for the ellipse
- Returns
float – value of \(f_{A,c} (x)\).
-
ATS.
f_gaussian
(x, center=0, axis=1, rotation=1)[source]¶ Computes
\[g(x) = \frac{1}{\sigma \sqrt{2\pi}} e^{- \left( \frac{x-\mu}{\sqrt{2}\sigma} \right)^2}\]- Parameters
x (numpy array) – point to evaluate \(g\) at
center (float) – mean of the gaussian
axis (float) – standard deviation
- Returns
numpy array – \(g(x)\).
-
ATS.
feature
(list_dgms, function, **keyargs)[source]¶ Given a collection of persistent diagrams and a compactly supported function in \(\mathbb{R}^2\), computes \(\nu_{D}(f)\) for each diagram \(D\) in the collection.
- Parameters
list_dgms (list) – list of persistent diagrams
function (function) – Compactly supported function in \(\mathbb{R}^2\).
keyargs (Dicctionary) – Additional arguments required by funciton
- Returns
Numpy array – Array of values \(\nu_{D}(f)\) for each diagram \(D\) in the collection list_dgms.
-
ATS.
get_all_features
(list_dgms, list_ellipses, function)[source]¶ This function computes all the features for a colelction of persistent diagrams given a list ot ellipses.
- Parameters
list_dgms (list) – list of persistent diagrams
list_ellipses (list) – List of dicctionaries. Each dicctionary represents a ellipse. It must have the following keys: mean, std and rotation.
function (function) – Compactly supported function in \(\mathbb{R}^2\).
-
ATS.
limits_box
(list_dgms)[source]¶ This function computes the min and max of a collection of pers. dgms. in the birth-lifespan space.
- Parameters
list_dgms (list) – List of persistent diagrmas
- Returns
list – mins = [min_birth, min_lifespan] and maxs = [max_birth, max_lifespan]
-
ATS.
testSetManifolds
(numDgms=50, numPts=300, permute=True, seed=None)[source]¶ This function generates persisten diaglams from point clouds generated from the following collection of manifolds
Torus
Annulus
Cube
3 clusters
3 clusters of 3 clusters
Sphere
The diagrmas are obtained by computing persistent homology (using Ripser) of sampled point clouds from the described manifolds.
- Parameters
numDgms (int) – Number of diagrmas per manifold
numPts (int) – Number of point per sampled point cloud
permute (bool) – If True it will permute the final result, so that diagrams of point clouds sampled from the samw manifold are not contiguous.
seed (float) – Fixes the random seed.
- Returns
pandas data frame – Each row corersponds to the 0- and 1-dimensional persistent homology of a point cloud sampled from one of the 6 manifolds.


I am a young IT enthuthiast who decided to dive into the exciting world of programming. I live in Nairobi, Kenya. I acquainted myself with coding skills from Moringa School- A brilliant
institution
I should say. My intrinsic
drive to do programming was inspired by wanting to discontinue a trend of constant consumerism; by learning how to give back to the community not only through creating brilliant Apps, but also teaching the skill to young aspiring
computer
programmers.
I am also a subtle self-taught artist - Art has helped me
nature moral-excellencies like patience, gentleness, keenness and creativity.


bcbioSCFiltered
to seurat
ObjectInterally, this begins by calling Seurat::CreateSeuratObject()
without any
additional filtering cutoffs, since we already applied them during our
quality control analysis. Here we are passing the raw gene-level counts of
the filtered cells into a new seurat class object, using as()
object
coercion. Next, global-scaling normalization is applied to the raw counts
with Seurat::NormalizeData()
, which (1) normalizes the gene expression
measurements for each cell by the total expression, (2) multiplies this by a
scale factor (10,000 by default), and (3) log-transforms the result.
Seurat::FindVariableGenes()
is then called, which calculates the average
expression and dispersion for each gene, places these genes into bins, and
then calculates a z-score for dispersion within each bin. This helps control
for the relationship between variability and average expression. Finally, the
genes are scaled and centered using the Seurat::ScaleData()
function.
help("coerce")


A new beginning, a new life..We are getting Engaged..You are invited to join us..On our blissful union and make our day!
The pleasure of your company is requested at our Engagement Ceremony Do join us in our celebration And share in our happiness.
You had a special invitation to my engagement. Want to see want to celebrate that day with you. I will wait for you.
84/1C, Meera Bhawan, Civil Lines, Pratapgarh, Uttar Pradesh 230001
Love is here to stay, so let’s celebrate by dancing the day away! Please join us for an engagement party.
So bright the flames burned in our hearts that we found each other in the dark..
Ever since we met, I’ve known that we’re special. That the way we talk and laugh around each other is different than everybody else. That I will never meet anyone I can trust as much as I trust you. And I think most people search their whole life to find what we’ve already found.
U’ll find ups and downs in every relation but where u can hold every such situation is a winning of love towards life. No relationship is all sunshine, but two people like us can share one umbrella and survive the storm together.
Once upon a time i became ur's and u became mine and will stay together through both the tears and the laughter because that's what they call happily ever after. All dreams have come true as i have found you... There are no hopes and aspirations that are higher than the extent of your love, From now till eternity our hearts will beat like one heart As i found a new life in you..........
Please Fill-up your details to notify you that you're attending. Thanks.


Special typical flights are considered as the longest or shortest flights, flights with the highest or lowest
validity and flights with the maximum or minimum stresses, respectively.These flights can be quickly picked from within the
file tree. Right-click on a spectrum item and select a special flight from the - Select Flight
sub-menu (see figure
below). The flight will be selected in the file tree for further processing.


--- # Jekyll layout: revealjs # v1.0 # © 2016–2017 drdynscript # MIT License layout: shared/base libs_styles: ['/vendor/revealjs/css/reveal.css'] libs_scripts: ['/vendor/revealjs/lib/js/head.min.js', '/vendor/revealjs/js/reveal.js','/vendor/particles.js/particles.js'] base_scripts: ['/js/revealjs.services.js', '/js/revealjs.js'] ---


Middleware is a concept of allowing pieces of functionality to be injected anywhere at your discretion. Almost like plugins or extensions, the popularity of middleware came from third party vendors being able to quickly plug into applications.
Routes is a kind of middleware interface because you can add functionality using the include method explained before.
<?php
cradle()->get('/some/path', include('/some/event/handler'));
There are other areas where you may need to plug in to other than the time of routing for example before and after the routing and during an error.
Middleware can be inserted before routing with the following example.
<?php
cradle()->preprocess(function($request, $response) {
//Do something before routing
});
Like routing, a $request
and a $response
will be passed. The usual
activity for a ->preprocess()
would be populating the $request
further,
presetting a $response and/or adding more available methods. The Bootstrap
heavily uses ->preprocess()
for example.
<?php
cradle()->error(function($request, $response, $error) {
//Do something because there was an error
});
With error processors, like pre-processors a $request and a $response will be
passed. A third argument called $error
will also be passed which will be an
Exception object. Error processors should be treated as a last ditch effort
to report the error to the user in a nice way.
<?php
cradle()->postprocess(function($request, $response, $error) {
//Do something after the connection is closed
});
Post processors are like pre-processors except that it waits till the user has received a response and the connection is closed before being activated. This is a nice feature where you can do short time consuming tasks if you do not have access to a queue available.
preprocess
- Adds pre processing middleware which is called before routing
cradle()->preprocess(function($request, $response) {
//Do something before routing
});
error
- Adds error middleware which is called when an Exception is thrown
cradle()->error(function($request, $response) {
//Do something because there was an error
});
postprocess
- Adds post processing after the response was sent out and the connection is closed
cradle()->postprocess(function($request, $response) {
//Do something after the connection is closed
});
setPreprocessor
- Allows for a custom pre processor to be used
| Parameters | |
|---|---|
Cradle\Http\Middleware\MiddlewareInterface |
The middleware interface (new Cradle\Http\Middleware ) |
cradle()->setPreProcessor(new Cradle\Http\Middleware);
getPreProcessor
- Returns a Middleware processor if none was set, it will auto create one
cradle()->getPreprocessor();
setErrorProcessor
- Allows for a custom error processor to be used
| Parameters | |
|---|---|
Cradle\Http\Middleware\MiddlewareInterface |
The middleware interface (new Cradle\Http\Middleware ) |
cradle()->setErrorProcessor(new Cradle\Http\Middleware);
getErrorProcessor
- Returns a Middleware processor if none was set, it will auto create one
cradle()->getErrorProcessor();
setPostProcessor
- Allows for a custom post processor to be used
| Parameters | |
|---|---|
Cradle\Http\Middleware\MiddlewareInterface |
The middleware interface (new Cradle\Http\Middleware ) |
cradle()->setPostProcessor(new Cradle\Http\Middleware);
getPostProcessor
- Returns a Middleware processor if none was set, it will auto create one
cradle()->getPostProcessor();


WITNESS LIST Energy Resources Committee March 16, 2005-8:00A HB 951 Registering, but not testifying: For: Normon, Scott (Texas Association of Builders) HB 1329 For: Dalton, Andrew (Valero Energy Corporation) DeYoung, Kathy (Copano Energy) Dykes, Jeff (Texas Energy Coalition) Mann, James (Texas Pipeline Association) Sebree, Ben (Texas Oil and Gas Association) Against: Akers, Monte (Texas Municipal League and the Texas Coalition of Cities) Noe, George (City of Corpus Christi) Registering, but not testifying: For: Burns, Morris (Permian Basin Petroleum Association) Cox, Jayme (Shell Oil) Dowe, Tammy (Citgo Petroleum) Golemon, R. Kinnan (Shell Oil Company) Haynes, Adam (TIPRO) Hazlewood, Steve (Dow Chemical Company) McCaulley, Cindy (Lyondell Chemical) Moore, Julie (Occidental Petroleum Corporation) Nikolis, William (TEPPCO/Texas Eastern Products Pipeline) Nugent, Patrick (Texas Pipeline Association) Olson, Kym (El Paso Corp.) Oswald, Bill (Koch Industries, Flint Hills Resources) Perry, Steve (ChevronTexaco) Sander, Lindsay (Enbridge Energy) Sellers, Tom (ConocoPhillips) Woodard, Shayne (Duke Energy) Woodard, Shayne (Sunoco, Inc.) Against: Casto, Larry (City of Dallas) Darling, James (City of McAllen) Rocha, Susan (City of San Antonio) Warren, Jill (City of Carrollton) HB 1564 For: Burns, Morris (Permian Basin Petroleum Association) Haynes, Adam (TIPRO) Howell, Rusty (Self) Sebree, Ben (Texas Oil and Gas Association) Stevens, Bill (Texas Alliance of Energy Producers) On: Montgomery, E.W. "Gene" (Oxy Permian)


Before Change
optimizer = tf.train.MomentumOptimizer(learning_rate, FLAGS.momentum)
tower_grads = []
tower_summaries = None
for i in range(FLAGS.num_clones):
with tf.device("/gpu:%d" % i):
with tf.name_scope("clone_%d" % i) as scope:
loss = _tower_loss(
iterator=iterator,
num_of_classes=num_of_classes,
ignore_label=ignore_label,
scope=scope,
reuse_variable=(i != 0))
grads = optimizer.compute_gradients(loss)
tower_grads.append(grads)
// Retain the summaries from the first tower.
if not i:
tower_summaries = tf.summary.merge_all(scope=scope)
with tf.device("/cpu:0"):
grads_and_vars = _average_gradients(tower_grads)
if tower_summaries is not None:
summaries.append(tower_summaries)
// Modify the gradients for biases and last layer variables.
last_layers = model.get_extra_layer_scopes(
FLAGS.last_layers_contain_logits_only)
After Change
for i in range(FLAGS.num_clones):
with tf.device("/gpu:%d" % i):
name_scope = ("clone_%d" % i) if i else ""
with tf.name_scope(name_scope) as scope:
grads = optimizer.compute_gradients(tower_losses[i])
tower_grads.append(grads)
with tf.device("/cpu:0"):
grads_and_vars = _average_gradients(tower_grads)
// Modify the gradients for biases and last layer variables.


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|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
|---|---|
| Logger | |
| RuntimeContext | An RuntimeContext defines an interface for
obtaining information about the service context and for reporting errors
in that context. |
| Class Summary | |
|---|---|
| AbstractRuntimeContext | |
| DefaultLogger | Default system error handler. |
| DefaultLoggerFactory | Factory for creating a loggable context. |
| LoggerFactory | Factory for creating a loggable context. |
| LogLevelEnum | The LogLevelEnum represents a leg level |
| SystemConfiguration | There is a single instance of a SystemConfiguration
which may be obtained through its static getInstance() method. |
Provides system configuration classes.
|
|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


We aim to build a cell on the molecular level and create a new experiance of biology. Lets start the journey.
Find Out MoreNowadays, huge amount of scientific data is created by new technologies. However, bioinformatics can not play attention into the detail or be creative analyzing data as humans. Collaboration by citizens and scientists, on the other hand, seems to be the perfect complement to analyze and understand scientific data in a more creative and efficient way (i.e. Fold-it, Galaxy Zoo). Thus, citizens are introduced for the first time into research projects, publications and they can visualize and learn science from real data. The CellCraft Project would like to introduce molecular biology into this movement by developing a platform of interaction - MineCraft game - where citizens can create cellular scenarios by uploading real 3D biomolecules simulating molecular processes. Furthermore, citizens can collaborate in a community with scientists where decisions are democratically taken.
Get Started!Do you want to contribute? Write us and tell us what you can do.
Do you want to know more about the project or us? Let us know.


Boxplot hides the distribution behind each group. This post show how to tackle this issue in base R, adding individual observation using dots with jittering.
Boxplot can be dangerous: the exact distribution of each group is hidden behind boxes as explained in data-to-viz.
If the amount of observation is not too high, you can add individual observations on top of boxes, using jittering to avoid dot overlap.
In base R, it is done manually creating a function that adds dot one by one, computing a random X position for all of them.
# Create data
<- c(rep("A", 80) , rep("B", 50) , rep("C", 70))
names <- c( rnorm(80 , mean=10 , sd=9) , rnorm(50 , mean=2 , sd=15) , rnorm(70 , mean=30 , sd=10) )
value <- data.frame(names,value)
data
# Basic boxplot
boxplot(data$value ~ data$names , col=terrain.colors(4) )
# Add data points
<- levels(data$names)
mylevels <- summary(data$names)/nrow(data)
levelProportions for(i in 1:length(mylevels)){
<- mylevels[i]
thislevel <- data[data$names==thislevel, "value"]
thisvalues
# take the x-axis indices and add a jitter, proportional to the N in each level
<- jitter(rep(i, length(thisvalues)), amount=levelProportions[i]/2)
myjitter points(myjitter, thisvalues, pch=20, col=rgb(0,0,0,.9))
}


Write a function userCreator that accepts the first parameter name
and a second parameter score
Store the increment function in just one object and have the interpreter, if it doesn't find the function on user1, look up to that object to check if it's there.


Description:
This instruction stores the contents of register Rr on the STACK. The stack pointer is post-decremented by 1 after the PUSH.
This instruction is not available in all devices. Refer to the device specific instruction set summary.
Operation:
(i) STACK ← Rr
Syntax: Operands: Program Counter: Stack:
(i) PUSH Rr 0 ≤ r ≤ 31 PC ← PC + 1 SP ← SP - 1
16-bit Opcode:
|
1001 |
001d |
dddd |
1111 |
Status Register (SREG) and Boolean Formula:
|
I |
T |
H |
S |
V |
N |
Z |
C |
|---|---|---|---|---|---|---|---|
|
- |
- |
- |
- |
- |
- |
- |
- |
Example:
call routine ; Call subroutine ... routine: push r14 ; Save r14 on the stack push r13 ; Save r13 on the stack ... pop r13 ; Restore r13 pop r14 ; Restore r14 ret ; Return from subroutine
Words:1 (2 bytes)
Cycles:
|
Cycles |
Cycles xmega | |
|---|---|---|
|
PUSH |
2 |
1 |


[ht::head {Installating RAMADDA under Tomcat}]
RAMADDA is available at:
http://www.sourceforge.com/projects/ramadda
Steps performed as root:
-
If you haven't already then install Tomcat
yum -y install tomcat6
-
Before we install RAMADDA we need to add a property file to
the Tomcat conf directory to tell RAMADDA where to
store data and files. Copy the file:
repository.properties
to:
/usr/share/tomcat6/conf
- Download the repository.war file from:
http://sourceforge.net/projects/ramadda/files
-
Copy the RAMADDA war file to the webapps directory:
cp repository.war /usr/share/tomcat6/webapps
-
And now restart Tomcat (don't forget that you need to be root to do this).
su
service tomcat6 stop
service tomcat6 start
[ht::foot]


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/backwards.20reasoning.html ---
Can someone remind me of the status of backwards_reasoning
in mathlib? Is it still in PR limbo, or did it get merged into solve_by_elim
, or what?
It is in limbo, waiting for me to respond to reviewers' comments. I have been at a conference all week (for which I'm an organiser, and which has been full of interesting maths), so haven't touched it. I'm also realising I should be doing more maths and less Lean...
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


We are a group of teachers from around the world who have come together to collaborate and build teaching resources for Swift Playgrounds
Press the subscribe button to access our latest Swift Playground content.


Nic Maraschin |
Summary |
Dedicated Mechanical Engineer skilled in a variety of engineering practices. Great with time and budget management. Dedicated to high standards for quality and consistency. |
Experience
|
Student Audio Video Engineering Intern
Colorado Mesa University I.T., GJ, Colorado October 2017 – Present In charge of building, installing, and maintaining all audio video systems on the Colorado Mesa University campus. Recreation Center EmployeeColorado Mesa University, GJ, Colorado August 2016 – Present Responsible for maintaining an organized and professional work out environment for patrons. |
Education
|
BS, Mechanical Engineering
Colorado Mesa University, GJ, Colorado May 2019 Worked on several large scale design projects and participated in FSAE. |
Skills |
Practiced in creative problem solving, computer-aided design, Programming, additive manufacturing, computer numerical control, lab view simulations, programmable logic controllers, etc. |
Personality |
Highly motivated quick learner with a passion for problem solving. Enjoys nature and adventure among other things during free time. |
References
|
West Castro, ACZ Laboratories
<EMAIL_ADDRESS>–<PHONE_NUMBER> |


Numbers
This button calls a function in the js file that loops through an array of numbers, prints each element. Then it sorts the array, and prints each element again, sorted this time.
Languages
This button calls a function in the js file that loops through an array of programming languages and prints each element to the page.


CDATA is not needed in HTML script-elements, but browsers are browsers...
Processing this page should not result in any changes.


{# You will almost certainly want to override this template to #} {# extend your own project's layout like your pages do, etc. #} {% extends data.outerLayout %} {% block main %}
An error occurred while logging in via {{ __(data.spec.label or data.spec.name) }}:
{{ __(data.message) }}
If you believe you are seeing this message in error please contact the administrator.
{% endblock %}


| Rule Violations |
Count |
| Clearance Constraint (Gap=12mil) (InNetClass('RF50')),(All) |
0 |
| Clearance Constraint (Gap=6mil) (All),(All) |
0 |
| Clearance Constraint (Gap=10mil) (InNet('60HzAnt')),(All) |
0 |
| Clearance Constraint (Gap=0mil) (All),(IsKeepOut) |
0 |
| Short-Circuit Constraint (Allowed=No) (All),(All) |
0 |
| Short-Circuit Constraint (Allowed=Yes) (HasFootprint('PAD-JUMPER-2-NC_BY_TRACE_NO_SILK') or HasFootprint('PAD-JUMPER-3-2OF3_NC_BY_TRACE_YES_SILK_FULL_BOX')),(All) |
0 |
| Short-Circuit Constraint (Allowed=Yes) (HasFootprint('PQFN5X5-32_V_FTDI_BIG_VIAS_LEADS') and IsPad),(HasFootprint('PQFN5X5-32_V_FTDI_BIG_VIAS_LEADS') and (IsPolygon or IsRegion)) |
0 |
| Un-Routed Net Constraint ( (All) ) |
0 |
| Modified Polygon (Allow modified: No), (Allow shelved: No) |
0 |
| Width Constraint (Min=6mil) (Max=10000mil) (Preferred=10mil) (All) |
0 |
| Width Constraint (Min=50.00ohms) (Max=50.00ohms) (Preferred=50.00ohms) (InNetClass('RF50')) |
0 |
| Power Plane Connect Rule(Relief Connect )(Expansion=20mil) (Conductor Width=10mil) (Air Gap=10mil) (Entries=4) (All) |
0 |
| Hole Size Constraint (Min=8mil) (Max=500mil) (All) |
0 |
| Hole To Hole Clearance (Gap=10mil) (All),(All) |
0 |
| Minimum Solder Mask Sliver (Gap=0mil) (HasFootprint('PQFN5X5-32_V_FTDI_BIG_VIAS_LEADS')),(HasFootprint('PQFN5X5-32_V_FTDI_BIG_VIAS_LEADS')) |
0 |
| Minimum Solder Mask Sliver (Gap=4mil) (All),(All) |
0 |
| Minimum Solder Mask Sliver (Gap=0mil) (HasFootprint('PAD-JUMPER-2-NC_BY_TRACE_NO_SILK')),(HasFootprint('PAD-JUMPER-2-NC_BY_TRACE_NO_SILK')) |
0 |
| Minimum Solder Mask Sliver (Gap=0mil) (HasFootprint('PAD-JUMPER-3-2OF3_NC_BY_TRACE_YES_SILK_FULL_BOX')),(HasFootprint('PAD-JUMPER-3-2OF3_NC_BY_TRACE_YES_SILK_FULL_BOX')) |
0 |
| Minimum Solder Mask Sliver (Gap=0mil) (HasFootprint('PAD-JUMPER-2-NO_NO_SILK')),(HasFootprint('PAD-JUMPER-2-NO_NO_SILK')) |
0 |
| Silk To Solder Mask (Clearance=0mil) (IsPad),(All) |
0 |
| Silk to Silk (Clearance=5mil) (All),(All) |
0 |
| Net Antennae (Tolerance=0mil) (Not InNet('60HzAnt')) |
0 |
| Board Clearance Constraint (Gap=0mil) (HasFootprint('MicroUSB_TypeB')) |
0 |
| Board Clearance Constraint (Gap=0mil) (HasFootprint('0.1 INCH 2 ROW 24 POS FEMALE RIGHT-ANGLE HEADER SULLINS') or HasFootprint('0.1 inch 2 row 24 pos male right-angle header Sullins')) |
0 |
| Board Clearance Constraint (Gap=0mil) (All) |
0 |
| Board Clearance Constraint (Gap=0mil) (HasFootprint('ESP-WROOM-32')) |
0 |
| Board Clearance Constraint (Gap=0mil) (HasFootprint('RJ45 Unshielded PTH Connector')) |
0 |
| Board Clearance Constraint (Gap=0mil) (HasFootprint('2POS 4.2MM PITCH RIGHT ANGLE')) |
0 |
| Room Main (Bounding Region = (1940mil, 2360mil, 5555mil, 4200mil) (InComponentClass('Main')) |
0 |
| Height Constraint (Min=0mil) (Max=1000mil) (Prefered=500mil) (All) |
0 |
| Total |
0 |


Pancadasi - Chapter 2
Table of Contents
Class 1: 1, 2
- 2nd chapter - Mahabhuta viveka. Between elements, elementals and Atma.
- This world, before it was created, was sat alone. sat eva somya idam agra asit ekam eva advitiyam (Chandogya).
- It is difficult to see the all-pervasivnes of consciousness and ananda because it gets not manifested everywhere. That’s why here sat that is obvious everywhere is discussed.
- Consciousness is the invariable factor in all the experiences of all the three states and therefore consciousness is sat and beyond time.
- Consciousness is independent because it doesn’t require any means of knowledge to reveal itself. Self-effulgent, svayam prakahsa. Sense organs “shine” because of I. Shine = reveal.
- Chronological time - involved in the motion. Subjective time - which is created subjectively by our own mind.
- Observer is there before and after the event.
- Truth of the time = present. That present is nothing but consciousness.
- Sat being the cause of the creation is really all-pervasive. Space is not.
Class 2: 3,4,5
- If by going into sleep you’d become non-existent, you’d never go to sleep.
- The person in deep sleep, sanmatra (sat matra) - just are in the form of sat, pure existence. Same condition as before the creation. No time, no space, no objects.
- Everything that has come from the Brahman called sat, has only borrowed existence. Five elements, their gunas and the products therefrom. Through Maya the sat appears in all. Names and forms cannot add anything to the substance. Just like bangles and gold.
- Akasha, sabda (etc.) - name and form is Maya. Existence is Brahman.
- What cannot add anything is appearance (bangle to gold).
- Cause is what pervades. Sat pervades entire creation like gold pervades bangle. Therefore by knowing sat everything will be known.
- Take away the form and nothing remains (name is given by humans).
- Akasha is allpervasive thus shabda, its property, is allpervasive. But it is avyakta. Thus rishis had to do special tapas to extract the mantras and put them in words - manifest them. They made their mind so refined they could do it.
- Sound gets normally manifested by two methods: sanyoga - things are brought together. Viyoga - two things are brought apart.
- Third method. Enclose akasha in a container and sound gets manifested as echo. E.g. talking. By talking I’m not producing sound. I’m bringing into manifestation the words which are unmanifested in space. Example: like white light has seven colors and a prism can manifest them.
- Vayu has also sabda guna borrowed from akasha. If the wind is cold, there is water in it. If it is hot, fire. By itself it has no such attributes.
- Sound of wind: bee-see, fire: bugu-bugu, water: bulu-bulu, earth: kada-kala.
- Only water has the property of taste, unmanifested. The object helps to manifest a particular taste. Same with objects. They have no color, the light has all colors and objects absorb some and reflect others that are then seen.
- In a black hole the gravitation is much then even light won’t reflect and gets totally absorbed.
Class 3: 6, 7, 8
- Fragrance and foul smell are the two types of smell that belong to earth.
- Taste of pure water is madurhyam - combination of all possible tastes. This doesn’t mean sweetness.
- Color of the earth - all type of colors. Borrowed from agni.
- Skin pervades entire body. Outside and inside. Where skin is there is tvak-indriya. Two places where it is not: nail and hair.
- Sense organs have the power to sense external objects by sensing the guna of them, under the condition that they remain in the respective golakams (part of sthula shariram). That’s why when Jiva is travelling and there is no sthula sharira no perception is possible.
- Sukshma sharira travels, not reflected consciousness because it is all the time there. Any reflection you cannot separate from the reflected medium.
- When the ears are covered, one can hear internal sounds clearly.


This is a content section.
Bacon ipsum dolor sit amet nulla ham qui sint exercitation eiusmod commodo, chuck duis velit. Aute in reprehenderit, dolore aliqua non est magna in labore pig pork biltong. Eiusmod swine spare ribs reprehenderit culpa. Boudin aliqua adipisicing rump corned beef.
Pork drumstick turkey fugiat. Tri-tip elit turducken pork chop in. Swine short ribs meatball irure bacon nulla pork belly cupidatat meatloaf cow. Nulla corned beef sunt ball tip, qui bresaola enim jowl. Capicola short ribs minim salami nulla nostrud pastrami.
Readmore...This is a content section.
Pork drumstick turkey fugiat. Tri-tip elit turducken pork chop in. Swine short ribs meatball irure bacon nulla pork belly cupidatat meatloaf cow.
This is a content section.
Bacon ipsum dolor sit amet nulla ham qui sint exercitation eiusmod commodo, chuck duis velit. Aute in reprehenderit, dolore aliqua non est magna in labore pig pork biltong. Eiusmod swine spare ribs reprehenderit culpa. Boudin aliqua adipisicing rump corned beef.
Pork drumstick turkey fugiat. Tri-tip elit turducken pork chop in. Swine short ribs meatball irure bacon nulla pork belly cupidatat meatloaf cow.
This is a content section.
Pork drumstick turkey fugiat. Tri-tip elit turducken pork chop in. Swine short ribs meatball irure bacon nulla pork belly cupidatat meatloaf cow.
This is a content section.
Bacon ipsum dolor sit amet nulla ham qui sint exercitation eiusmod commodo, chuck duis velit. Aute in reprehenderit, dolore aliqua non est magna in labore pig pork biltong. Eiusmod swine spare ribs reprehenderit culpa. Boudin aliqua adipisicing rump corned beef.
Pork drumstick turkey fugiat. Tri-tip elit turducken pork chop in. Swine short ribs meatball irure bacon nulla pork belly cupidatat meatloaf cow.
Bacon ipsum dolor sit amet nulla ham qui sint exercitation eiusmod commodo, chuck duis velit. Aute in reprehenderit, dolore aliqua non est magna in labore pig pork biltong. Eiusmod swine spare ribs reprehenderit culpa. Boudin aliqua adipisicing rump corned beef.


{% trans url=addon.meet_the_dev_url() %} Your developer profile is currently public and required for contributions. {% endtrans %}
{% trans url=addon.meet_the_dev_url() %} Your developer profile is currently public. {% endtrans %}
{% trans url=addon.meet_the_dev_url() %} Your developer profile is currently public and required for contributions. {% endtrans %}
{% trans url=addon.meet_the_dev_url() %} Your developer profile is currently public. {% endtrans %}


HECTOR PIÑEIRO II
Software Developer
I graduated from RIT in fall 2016 with a degree in Game Design and Development. I spent the past three years working as a front-end web developer in Rochester, NY.
I am currently unemployed and actively pursuing positions in the game industry as a gameplay programmer, with the intention of moving toward game graphics programming or low-level engine programming.
I am proficient in JavaScript, C++, and ActionScript 3/ Haxe. I have some experience with Lua, C#, Java, and other languages commonly used in web development. At a high level, I have used Unity, Processing, and Adobe Flash, and currently I'm learning Unreal Engine. At a lower level, I have used OpenGL and DirectX for creating simple game engines and games.
I spend my free time composing music, dabbling in pixel art, and studying Japanese — oh, and I seem to have this weird fascination for math.
Lately, I've tried to recruit friends for game jams/hackathons to try out new tech for expanding my horizons. It's a fast–growing industry so it's imperative to stay on your A–game.


Loading...
Welcome to my home page
login
- goes through the login process
get user info
- (by user cookie) shows information known about the current user
get user info
- (by Authorization Bearer header) shows information known about the current user


{% extends "base.html" %} {% block title %}The Blue Alliance - Thanks{% endblock %} {% block meta_description %}Thanks to all the companies and technologies that make The Blue Alliance possible.{% endblock %} {% block content %}
The Blue Alliance is a non-profit organization that relies on open-source contributions, volunteers, and our sponsors to keep the site running.
Thanks to our code contributors for our web app, Android app, and iOS app; and to our data submitters and data moderators.
Komodo Media's social media icons
Bootstrap's HTML CSS JS framework


{{ request.site.name }} is a jeopardy style competition that includes challenges in the
domain of
Reverse Engineering, Web Exploitation, Clever Scripting, Automation and general "hacks".
There is a flag associated with each level. The flag format is CTF{key_here} To successfully
complete the level you have to get the flag and submit.
NOTE:
Event Timings: 12th Aug 3:30PM UTC to 25th Aug 3:30AM UTC.


This is an example of a web service with machine-processable OpenAPI description.
Visit /chat with your browser to see all messages on an HTML page.
Visit /api/messages with your browser to get all messages in JSON format. The same data can be obtained from command line:
curl 'https://ip-78-128-251-137.flt.cloud.muni.cz:8443/api/messages'
Post a new message using command line:
curl -X POST 'https://ip-78-128-251-137.flt.cloud.muni.cz:8443/api/messages?text=Hello+World+!'
Open the OpenAPI description in Swagger Editor, and try to call the service.
This web service is implemented in Java using the Spring Boot framework. See the implementation in the file ChatService.java. The whole project is available at https://github.com/martin-kuba/muni-pa160-chat-service.
configuration = swagger_client.configuration.Configuration() configuration.host = 'https://ip-78-128-251-137.flt.cloud.muni.cz:8443/api'where the URL needs to point to a running instance of the service.
Run the python client.


Perform an action on a server on Openstack, by passing an id, and an action, some actions require more data.
E.g. action(id, “reboot”, “hard”)
# File lib/ropenstack/nova.rb, line 64 def action(id, act, *args) data = case act when "reboot" then {'reboot' =>{"type" => args[0]}} when "vnc" then {'os-getVNCConsole' => { "type" => "novnc" }} when "stop" then {'os-stop' => 'null'} when "start" then {'os-start' => 'null'} when "pause" then {'pause' => 'null'} when "unpause" then {'unpause' => 'null'} when "suspend" then {'suspend' => 'null'} when "resume" then {'resume' => 'null'} when "create_image" then {'createImage' => {'name' => args[0], 'metadata' => args[1]}} else raise "Invalid Action" end return post_request(address("/servers/" + id + "/action"), data, @token) end
Attach a cinder volume to a server, by passing the server id and the volume id.
# File lib/ropenstack/nova.rb, line 84 def attach_volume(id, volume) data = { 'volumeAttachment' => { 'volumeId' => volume, 'device' => "/dev/vdb" } } return post_request(address("/servers/" + id + "/os-volume_attachments"), data, @token) end
Creates a server on OpenStack.
# File lib/ropenstack/nova.rb, line 37 def create_server(name, image, flavor, network = nil, metadata = nil) data = { "server" => { "name" => name, "imageRef" => image, "flavorRef" => flavor, } } unless network.nil? data["server"]["networks"] = [{"uuid" => network}] end return post_request(address("/servers"), data, @token) end
Delete an image stored on Openstack through the nova endpoint
# File lib/ropenstack/nova.rb, line 108 def delete_image(id) uri = URI.parse("http://" + @location.host + ":" + @location.port.to_s + "/v2/images/" + id) return delete_request(uri, @token) end
Deletes a server from Openstack based on an id
# File lib/ropenstack/nova.rb, line 54 def delete_server(id) return delete_request(address("/servers/" + id), @token) end
Remove a cinder volume from a server, by passing the server id and the attachment id.
# File lib/ropenstack/nova.rb, line 93 def detach_volume(id, attachment) return delete_request(address("/servers/"+id+"/os-volume_attachments/"+volume), @token) end
Get a list of flavors that Servers can be
# File lib/ropenstack/nova.rb, line 116 def flavors() return get_request(address("/flavors/detail"), @token) end
Retrieve a list of images from Openstack through the nova endpoint
# File lib/ropenstack/nova.rb, line 100 def images() uri = URI.parse("http://" + @location.host + ":9292/v2/images") return get_request(uri, @token) end
Get a tenants compute quotas
# File lib/ropenstack/nova.rb, line 123 def quotas() return get_request(address("/limits"), @token) end
Gets a list of servers from OpenStack
# File lib/ropenstack/nova.rb, line 19 def servers(id) endpoint = "/servers" unless id.nil? endpoint = endpoint + "/" + id end return get_request(address(endpoint), @token) end
Gets a more detailed list of servers from openstack.
# File lib/ropenstack/nova.rb, line 30 def servers_detailed() return get_request(address("/servers/detail"), @token) end


title: Speaker mentors at PyCon UK ---
For first-time speakers, non-native English speakers, under-confident or uncertain speakers or simply anyone who'd like some help with a talk - here are some people who'd like to help you.
Speaking in front of a large audience doesn't come easily to many people. Our conference audiences are full of interesting people with interesting things to say. We want more of them to to feel confident enough to submit a talk proposal.
We know those people exist, because we meet them at every event, and it's always a shame to discover that someone had an interesting talk in them but kept it there.
To help more people feel comfortable taking the step to submit a talk, we have a speaker mentor programme. A speaker mentor is an experienced speaker, who has volunteered to help other speakers.
It could be any kind of help, for any kind of reason: anything from someone who can advise on whether your idea for a talk is a good one to someone who'll be happy to hear you practise it; even someone who'll agree to be the session chair for your talk at the event. You tell us what kind of help you'd like.
And it could be because you're not confident about your English, because you're a nervous speaker, because you've never done a talk before - it doesn't matter why, the point is that if you'd like help, we can put you in touch with someone suitable to help you.
If you'd particularly like a speaker mentor who's familiar with a particular subject, who speaks your native language, a female mentor - again, just tell us what will help you.
Remember, we don't want to be proud because we had a lot of superstar speakers at our conference. We want to be proud because we were the conference where you began your superstar speaking career.
Just check the relevant box on the proposal form and we will get back to you to find out more and assign you a suitable mentor. The CfP form also has a space for private notes that are only seen by the organising committee. Feel free to use that space to tell us more about the sort of mentor who might be best placed to support you.


Katensa:
Done yet? I'm curious about how much cooperation there was in the Reed Field.
Show me proof your Mucrokians kills!
Show proof of the defeated Mucrokians.
Continue the mission.
Stop the mission.


| fkUtilities reference pages |
varargout=BATCH_PROCESS(fcn,arg1,arg2,...) varargout=BATCH_PROCESS(fcn,args)
varargout=BATCH_PROCESS(fcn,arg1,arg2,...) calls a function multiple times with different input arguments and collects the results. Input arguments are cell vectors or numeric vectors, which share the same length or are scalars or strings. Character arrays are not supported.
varargout=BATCH_PROCESS(fcn,args) arguments can be specified as a single cell matrix. The function will be called for every row in the cell matrix.
out = batch_process( @cat, 2, {'Peter', 'John'}, ' is a ', {'fool', 'good fellow'} );
| fill_dvd | Toolbox page | delvarmat |


TABLE OF CONTENT
Hi,
In the previous post I told you how to implement the Reactive Api client with caching. Well, to prove that our code works we might want to have some unit tests.
To do so let’s create a new project (Class Library), add a reference to the main project, and install few NuGet packages.
Rx-Main, Rx-Testing, xUnit.Net and Moq.
Install-Package Rx-Main
Install-Package Rx-Testing
Install-Package xunit
Install-Package Moq
Then we’ll create a class RxGitHubClientTest, inherited from ReactiveTest.
ReactiveTest
is a base class which is shipped with Rx-Testing
. It implements some infrastructure for our tests.
I’m not going to post all the tests here, you can find them on GitHub (the link is in the end of the post).
Setup #
As an example I’m going to test this scenario: If the cache is empty GitHubClient should download them, persist in a cache, and call OnNext
and OnCompleted
.
To do that we’ll need to mock IHttpClient
and IRatingCache
. Another class that we’ll use is TestScheduler from Rx-Test
package.
TestScheduler implements IScheduler interface and can be substituted instead of platform dependent instance of scheduler. It allows us literally to control the time and execute asynchronous code step by step. If you’d like to know more details I recommend to read a good post “Testing Rx Queries using Virtual Time Scheduling”.
Now our test set up looks like this:
public RxGitHubClientTest()
{
Model = new RatingModel
{
Rating = 10,
LastModified = new DateTime(2015, 07, 10, 1, 1, 1, 0),
Id = UserName
};
Cache = new Mock<IRatingCache>();
Scheduler = new TestScheduler();
HttpClient = new Mock<IHttpClient>();
}
Arrange #
First of all we need to set up Mocks behavior: the cache is empty, http client can download and parse the request.
Cache.Setup(c => c.HasCached(It.IsAny<string>()))
.Returns(false);
Cache.Setup(cache => cache.GetCachedItem(UserName))
.Returns((RatingModel) null);
HttpClient.Setup(http => http.Get(UserName))
.ReturnsAsync(new RatingResponse
{
Data = Model,
IsSuccessful = true
});
var client = CreateClient();
OnNext
and OnCompleted
events.
var expected = Scheduler
.CreateHotObservable(OnNext(2, Model), OnCompleted<RatingModel>(2));
OnNext(2, Model)
is a method which is declared in ReactiveTest
.
It has a following signature:
static Recorded<Notification<T>> OnNext<T>(long ticks, T value)
OnNext
method was called with Model parameter. The Magic Number “2” is nothing more than the time in ticks. It’s not a real time, it’s the TestScheduler’s virtual time. It’s not the most elegant solution though. The TestScheduler is created at tick number zero, on the tick number one we subscribe on events and on the tick two we’ll get the first event.
Act #
var results = Scheduler
.Start(() => client.GetRatingForUser(UserName), 0, 1, 10);
TestScheduler
, which will be initialized in the zero tick, then it will subscribe on client.GetRatingForUser(UserName)
on the first tick. The last parameter is the virtual time on which the subscriber should be disposed. We can ignore this one for now.
And finally the last step.
Assert #
ReactiveAssert.AreElementsEqual(expected.Messages, results.Messages);
Cache.Verify(cache => cache.Put(Model), Times.Once);
This test could have been splitted into two parts, to follow the best practices (to have one assert per test method), but I wanted to show that all the regular approaches are valid in Rx-world.
Ok, now we have a green bar.
Source code #
You can find the source code on GitHub
Conclusion #
I mentioned Windows Phone development in my article, however the code is built for .NET 4.5. I did that on purpose, to let everybody checkout and build the solution even if one has no WP SDK installed locally. It’s easy to convert the project to PCL or WP8/8.1 assembly. All of them are supported by Rx.


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Electronics¶
-
class
components.electronics.electronics.
Electronics
(*args, **kwargs)[source]¶ This class will instantiate the flight controller and speed_controller(s) and place them on top of one another.
Returns: ParaPy Geometry of the electronics.
Parameters: -
amp_req
[source]¶ This is the required amperage for the engine(s).
Returns: Complete Amp draw from the engine(s) in SI Amps Return type: float
-
box_length
[source]¶ This returns the length of the flight controller box for calculations.
Returns: Flight Controller Length Return type: float
-
center_of_gravity
[source]¶ This attribute finds the center of gravities of the separate ESCs, then finds the combined C.G.
Returns: ParaPy Point Return type: Point
-
component_type
[source]¶ This attribute names the component ‘electronics’ for electronics.
Returns: String with electronics component name Return type: str
-
elec_joiner
[source]¶ This joins the ESC’s together through a series of Fuse operations to be able to present a single internal_shape required for the fuselage frame sizing.
Returns: ParaPy Fused Boxes Return type: Fused
-
flight_controller
[source]¶ This an instantiation of the flight controller. It takes only the position input.
Returns: Flight controller geometry Return type: TranslatedShape
-
internal_shape
[source]¶ This is creating a box for the fuselage frames. This is used to get around ParaPy errors.
Returns: Speed Controller(s) bounded box Return type: ScaledShape
-
number_engines
[source]¶ This is used to determine the number of engines from the input motor_in.
Returns: Number of Engines Return type: int
-


Run For A Cause 2019: 'Roaming Maggie' seeks elite running advice for her school
by Melanie WhelanA team of Black Hill pupils wanted a little extra motivation to get their school community moving in Run For A Cause. They went straight to the top for expert advice from race director and world championship marathon runner Julian Spence.
Black Hill news personality 'Roaming Maggie' and camera-girl Emmerson were on the case in a filmed segment for the school's Friday afternoon bulletin, The Blueprint.
WATCH the segment below
They said Spence offered goods tips for how people could still get involved running or walking or strolling with their pets. Even though it might be too late to be ready for a half-marathon, there were still good challenges for everyone in the 10 and five-kilometre events, or the 1km children's dash.
Maggie often gets tips from Spence at The Running Company, where she buys her shoes, but said going in for an interview for her segment and talking to him about his running was a good news challenge.
The grade six pupil has built a school following as 'Roaming Maggie', known for her on-the-spot interviews in coverage of school events, like inter-school sport or zoo excursions.
Maggie hoped this episode would offer some motivation to get involved in the community run, which this year supports early childhood development programs.
This helps many people and is a very important cause. We thought we have a great team at Black Hill. The school actually has a lot of good runners.Maggie, Black Hill grade six pupil and news personality
"This helps many people and is a very important cause. We thought we have a great team at Black Hill. The school actually has a lot of good runners," Maggie said.
Black Hill has been distributing official Run For A Cause training programs this term and trying to rally support for the schools team challenge.
Teachers said a lot of families tended to enter separately anyway, which did not matter - they just hoped to see lots of Black Hill families out on course.
Maggie and Emmerson, who does most of her running for basketball, said a few parents might run the half-marathon while a lot of their classmates were prepared to test their run in the distance events or get out there and walk with their parents and pets.
The Blueprint followers will have to stay tuned to see if 'Roaming Maggie' pops up on race day.
Meanwhile, auditions are underway for the school's news team next year. Pupils film, write scripts, do interviews and edit new packages for the weekly show.
Larrikin Lewis is also a popular presenter, known for his dodgy jokes in a bid to get everyone smiling before the weekend.
Run For A Cause action starts with the half-marathon from 8am on Sunday. All courses work through Victoria Park and pass along Lake Wendouree. Prams and pets are allowed in the 5km family walk, at 9am.
YOU MIGHT LIKE
- Just do it, unleash the 'hello' in this running city | OPINION: MELANIE WHELAN
- Inspiration on the line as Cash family makes a run for it
Details to help you run this city
WHEN: Sunday, November 17.
WHERE: Community Village and start/finish precinct in Victoria Park. Courses path takes in Victoria Park and Lake Wendouree.
WEATHER: Ideal conditions, top of 15C and cloudy.
EVENTS: RUN - 8am start, Half-marathon (21.1 kilometres); 8.15am, 10km; 9am, 5km; 10.15am, 1km (children's dash). WALK - 9am, 5km family event, pets included.
CAUSE: Early childhood development programs: Ballarat Reads, Ballarat Community Health's paediatric programs, Eureka Mums, Eureka Community Kindergarten Association, Uniting Ballarat, Ballarat Toy Library and Playgroup Victoria's Sebastopol Hub.
ENTER: run4ac.org.au


21.8 So What's Python: The Sequel
As we've seen in this book, Python is a multifaceted tool,
useful in a wide variety of domains. What can we say about Python to
sum up here? In terms of some of its best attributes, the Python
language is:
Python is useful for both standalone development and extension work,
and optimized to boost developer productivity on
many fronts. But the real meaning of Python is really up to you, the
reader. Since Python is a general-purpose tool, what it
"is" depends on how you choose to use it.
|


|
Perl Weekly
Issue #131 - 2014-01-27 - blogs.perl.org cracked and fixed
latest | archive | by Gabor Szabo
|
|
Hi,
this week was a bit stormy with a break-in to the server hosting blogs.perl.org, and the fixing of it. Other than the description of this break-in, you will find quite a few articles that might be interesting to you.
The Dutch and Czech workshops were added to the list of events at the bottom of this edition. Please check those out too!
Enjoy!
|
|
|
|
Sponsors
|
.nz Registry Services is hiring Perl Software Developers - New Zealand
The work is across application, web-based & intranet development & your skills in OSS development are reqd. It is crucial you have used Perl, Moose, DBI::x, OO Perl, XML and have exp. with SQL, Linux and Revision control. You will have used HTML, CSS on a daily basis along with Internet protocols (HTTP, HTTPS, SMTP, DNS, Whois, EPP)
|
|
We're Hiring Perl Software Developers - Grant Street Group
We're a growing software company using open source software/modern Perl practices to build innovative e-payment, auction, and tax collection web applications. We're looking for talented, motivated professionals committed to flawless work and customer service. Please apply online.
|
|
Announcements
|
blogs.perl.org
Someone broke into the blogs.perl.org site.  Ironically, the announcement came on the Perl Hacks site run by Dave Cross, one of the maintainers of blogs.perl.org
|
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The Return of blogs.perl.org
Three days later, the site was repaired and came back for you to read and post there. Let's thank Aaron Crane and Dave Cross for the quick action.
|
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Articles
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|
|
A UserAgent class or role for an API?
Neil Bowers tells about his journey during which he was contemplating several solution to creating a class in the BambooHR API. Ideas that came up were: Plain code, Lazy builder, Delegation, and Roles.
|
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Testing
|
Test Suite Organization
Ovid explains why mirroring the class-structure of your module in the tests as well is a good idea, and also gives some tips how to go about doing it.
|
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Code
|
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|
|
Benchmark JSON::XS vs Sereal vs Data::MessagePack
Celogeek is working with Redis and so he was looking for a fast way to do data serialization and deserialization in Perl. He checked 3 packages: JSON::XS and Data::MesssagePack provide language-independent data structures, while Sereal is only implemented for Perl. His recommended solution is Data::MessagePack.
|
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CPAN
|
Curating CPAN one dist at a time
Neil Bowers crossed the line. He managed to get a module he has not written by himself to be removed from CPAN. Some of you will highly appreciate this work, others will detest it as killing a sacred cow. What do you think? Would you like to encourage Neil to keep working on this, or do you think there are other, more effective avenues to improve CPAN?
|
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Changes files and CPAN::Release::Spec
How and why keep your Changes file in standard form. If you are not a CPAN author, then helping to standardize Changes files could be a simple way to help the Perl and CPAN ecosystem. There are pointers in this post how to see which distributions have Changes files that not according to the spec. Then you can go ahead and help fix those.
|
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Dist::Zilla is for lovers
Last week there was quite a bit of anger flowing towards Dist::Zilla, its users and author, to which David Golden responded in a harsh way. Now Ricardo Signes, the author of Dist::Zilla, tries to explain his position and tries to calm people down. Last week I left out these links as I did not want to give a stage for those haters in the original post, but now I feel it might be better to share these.
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Fun
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Interview
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Slides
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my $scalar;
Emma Howson has recently started to learn Perl. She decided to describe the process and what she learned in a series of blog posts. A very welcomed process. This time it is about scalar variables, and their declaration using "my".
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Parrot
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Videos
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Perl 6
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Other
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Perl at FOSDEM 2014: dev-room and stand
Just another reminder for those who like beer or chocolate, or are otherwise near-by Brussels, Belgium. FOSDEM will take place on 1-2 February. There will be a Perl dev-room on Saturday and a Perl booth to visit both days.
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Weekly collections
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Perl Maven Tutorials
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What are string and numeric contexts?
The first guest post of Curtis "Ovid" Poe on the Perl Maven site. We talked about scalar and list context earlier, but do you know what is numeric context and string context? Ovid explains.
|
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Events
I usually list the next 3-4 events here. The list of all the events can be found on the web site. If your Perl event is not listed there, please let me know.
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You know, you could get the Perl Weekly right in your mailbox. Every Week. Free of charge!
|


'Worried' Pep Clotet addresses big issue as ex-Birmingham City star admits transfer concern
All the latest Blues news and views from BirminghamLive as Pep Clotet holds his pre-Huddersfield press conference and preparations are made to celebrate a legend
by Brian Dick, https://www.facebook.com/blueswriterbriandick/?fref=ts'Keeping tabs
Pep Clotet insists he understands the goalkeeping concerns of Birmingham City supporters.
Blues’ caretaker head coach was speaking at his weekly press conference ahead of Saturday’s match with Huddersfield Town.
The Spaniard takes his team to the John Smith’s Stadium this weekend, with attention focused on the who will start between the sticks after Lee Camp’s error against Fulham.
Clotet was asked about the veteran’s form but kept his cards very close to his chest.
“I haven’t decided the team yet, I have a few ideas in my mind, not relating to the goalkeeper, we had a very good training with two teams, ten v ten or 11 v 11 working on game scenarios.
“We are working on game scenarios one team is losing 2-0, the other team is losing 2-0, how does that team do?
Birmingham City latest
This is your round up of all things Birmingham City; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Blues throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- The St Andrew's changes Birmingham City fans want
- 'Globetrotting' Star reveals his Birmingham City transfer fears
- The mouthwatering options Jérémie Bela gives Pep Clotet and Blues
- Sunjic, Colin, Camp - How Birmingham City's players rate this season
- A new striker, Jude and contracts - Blues' January priorities
For all your latest BCFC news, opinion, analysis and transfer gossip, click here
You can follow our Blues reporter Brian Dick on Twitter, and his email address is<EMAIL_ADDRESS>“After training I have to think about what I have been watching because I saw some really good things when it comes to partnerships and things.
“I always do that, tonight and tomorrow, we decide the team, I check with the staff and then I take a decision.
“As a ‘keeper I think Lee Camp had a solid start to the season and I obviously understand the fans are worried because if the goalkeeper makes a mistake it normally ends up in a goal.
“If a striker makes a mistake and doesn’t score the goal we don’t blame him for results, probably we should. We would have won that if we had scored.
“What I can say to the fans is everyone here is very focused on correcting mistakes, on improving on helping us to get better and building.
“We are not naive that the only thing is to build, to build, the importance is to finish as well as possible as well as build the club - that’s my motivation. Tomorrow I will decide."
More here
Remember him?
Viv Solomon-Otabor admits he made a slow start to his career with CSKA Sofia but is now ready to ‘excel’.
In an interview with Instagram account EaglesTracker, the 23-year-old said delays over his future in the summer transfer window meant he was playing catch up with his new club.
The winger turned down a new contract at Blues and instead moved to Bulgaria’s top tier efbet League.
He made his debut on July 20, played 13 minutes of Sofia’s Europa League qualifying campaign - but has picked up more recently.
He scored his first goal for the club on October 30 and also received his first call up to the full Nigeria squad last month.
Solomon-Otabor feels he is now up and running.
“It’s a different experience, playing in another country, with a different language, adapting to different styles of play, something I am not really used to. You just have to adapt,” he told Eagles Tracker .
“I came late because I wasn’t sure what I was going to do, stay at Birmingham , come here, go elsewhere.
“Obviously I wasn’t fit, I am now back to my full fitness and as time goes on I will be able to play more and more minutes and from there excel.”
The Londoner, who actually started pre-season at Blues scored twice for the club in 40 appearances, the vast majority off the bench.
However, he credits Birmingham with starting his football career after being released by Crystal Palace as a boy.
Getting stronger
Pep Clotet admits Josh McEachran has surprised him with the progress he has made with his conditioning.
The Birmingham City caretaker head coach praised the former Brentford midfielder for his attempts to prove himself at his new club.
After going through the summer as a free agent McEachran signed a two-year deal last month and has made just one first team appearance so far.
Whenever he has been asked about the 26-year-old Clotet has referred to the exacting fitness levels the former Chelsea starlet needs to meet for more regular involvement.
And the signs are that after a fortnight of heavy conditioning and testing, McEachran has done well and could be ready to contribute in the run-up to the festive period.
“He did the test and he did very well,” Clotet said. “Actually better than expected. I had a good talk with him.
“He’s putting in all the effort that he can to make sure he’s ready, so that’s good. We have a lot of games now from now until Christmas so everyone will make a difference.
“It was a long time since he last played regularly. I see him very focused on using this opportunity to get back as strong as possible and he’s putting in the right steps in the right direction.”
Find out how Gary Gardner's getting on here.
A legend for both
Frank Worthington was a footballing icon who spanned more than two decades in professional football.
The maverick striker, who scored 286 goals in 905 appearances, played for more than a dozen clubs spread across the world - and remains loved at most.
Which is why his career will be celebrated this weekend at a meeting of two of his most notable former employers - Huddersfield Town and
Halifax-born Worthington signed for Town in 1966 - when high blood pressure saw a move to Liverpool fall through - and scored his first goal against West Ham United in a League Cup tie in November 1967.
By the time he left Huddersfield in 1972, having helped them into the top flight, he had scored 41 league goals in 171 appearances.
More than 200 more came for Leicester, then on to Bolton from where Blues bought him for £150,000 in 1979.
In his first season under Jim Smith Worthington also helped Blues return to Division One where they would remain as he scored 33 times in 88 matches before his departure to Leeds in 1982.
He played for nearly another 20 years with clubs including Preston North End and Stockport County, as well as having a player-coach spell with Tranmere Rovers, before officially hanging up his boots in 1991.
Even at 70-years-old Worthington remains a regular attendee at the John Smith’s Stadium.
The current day Blues take on Huddersfield looking for their third away win of the season and do so five places and six spots above the 18th-placed Terriers.


Note
Click here to download the full example code or to run this example in your browser via Binder
Release Highlights for scikit-learn 1.0¶
We are very pleased to announce the release of scikit-learn 1.0! The library has been stable for quite some time, releasing version 1.0 is recognizing that and signalling it to our users. This release does not include any breaking changes apart from the usual two-release deprecation cycle. For the future, we do our best to keep this pattern.
This release includes some new key features as well as many improvements and bug fixes. We detail below a few of the major features of this release. For an exhaustive list of all the changes, please refer to the release notes.
To install the latest version (with pip):
pip install --upgrade scikit-learn
or with conda:
conda install -c conda-forge scikit-learn
Keyword and positional arguments¶
The scikit-learn API exposes many functions and methods which have many input
parameters. For example, before this release, one could instantiate a
HistGradientBoostingRegressor
as:
HistGradientBoostingRegressor("squared_error", 0.1, 100, 31, None,
20, 0.0, 255, None, None, False, "auto", "loss", 0.1, 10, 1e-7,
0, None)
Understanding the above code requires the reader to go to the API documentation and to check each and every parameter for its position and its meaning. To improve the readability of code written based on scikit-learn, now users have to provide most parameters with their names, as keyword arguments, instead of positional arguments. For example, the above code would be:
HistGradientBoostingRegressor(
loss="squared_error",
learning_rate=0.1,
max_iter=100,
max_leaf_nodes=31,
max_depth=None,
min_samples_leaf=20,
l2_regularization=0.0,
max_bins=255,
categorical_features=None,
monotonic_cst=None,
warm_start=False,
early_stopping="auto",
scoring="loss",
validation_fraction=0.1,
n_iter_no_change=10,
tol=1e-7,
verbose=0,
random_state=None,
)
which is much more readable. Positional arguments have been deprecated since
version 0.23 and will now raise a TypeError
. A limited number of
positional arguments are still allowed in some cases, for example in
PCA
, where PCA(10)
is still allowed, but PCA(10,
False)
is not allowed.
Spline Transformers¶
One way to add nonlinear terms to a dataset’s feature set is to generate
spline basis functions for continuous/numerical features with the new
SplineTransformer
. Splines are piecewise polynomials,
parametrized by their polynomial degree and the positions of the knots. The
SplineTransformer
implements a B-spline basis.
The following code shows splines in action, for more information, please refer to the User Guide.
import numpy as np
from sklearn.preprocessing import SplineTransformer
X = np.arange(5).reshape(5, 1)
spline = SplineTransformer(degree=2, n_knots=3)
spline.fit_transform(X)
Out:
array([[0.5 , 0.5 , 0. , 0. ],
[0.125, 0.75 , 0.125, 0. ],
[0. , 0.5 , 0.5 , 0. ],
[0. , 0.125, 0.75 , 0.125],
[0. , 0. , 0.5 , 0.5 ]])
Quantile Regressor¶
Quantile regression estimates the median or other quantiles of \(y\) conditional on \(X\), while ordinary least squares (OLS) estimates the conditional mean.
As a linear model, the new QuantileRegressor
gives
linear predictions \(\hat{y}(w, X) = Xw\) for the \(q\)-th quantile,
\(q \in (0, 1)\). The weights or coefficients \(w\) are then found by
the following minimization problem:
This consists of the pinball loss (also known as linear loss),
see also mean_pinball_loss
,
and the L1 penalty controlled by parameter alpha
, similar to
linear_model.Lasso
.
Please check the following example to see how it works, and the User Guide for more details.
Feature Names Support¶
When an estimator is passed a pandas’ dataframe during
fit, the estimator will set a feature_names_in_
attribute
containing the feature names. Note that feature names support is only enabled
when the column names in the dataframe are all strings. feature_names_in_
is used to check that the column names of the dataframe passed in
non-fit, such as predict, are consistent with features in
fit:
from sklearn.preprocessing import StandardScaler
import pandas as pd
X = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])
scalar = StandardScaler().fit(X)
scalar.feature_names_in_
Out:
array(['a', 'b', 'c'], dtype=object)
The support of get_feature_names_out is available for transformers
that already had get_feature_names and transformers with a one-to-one
correspondence between input and output such as
StandardScaler
. get_feature_names_out support
will be added to all other transformers in future releases. Additionally,
compose.ColumnTransformer.get_feature_names_out
is available to
combine feature names of its transformers:
from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import OneHotEncoder
import pandas as pd
X = pd.DataFrame({"pet": ["dog", "cat", "fish"], "age": [3, 7, 1]})
preprocessor = ColumnTransformer(
[
("numerical", StandardScaler(), ["age"]),
("categorical", OneHotEncoder(), ["pet"]),
],
verbose_feature_names_out=False,
).fit(X)
preprocessor.get_feature_names_out()
Out:
array(['age', 'pet_cat', 'pet_dog', 'pet_fish'], dtype=object)
When this preprocessor
is used with a pipeline, the feature names used
by the classifier are obtained by slicing and calling
get_feature_names_out:
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import make_pipeline
y = [1, 0, 1]
pipe = make_pipeline(preprocessor, LogisticRegression())
pipe.fit(X, y)
pipe[:-1].get_feature_names_out()
Out:
array(['age', 'pet_cat', 'pet_dog', 'pet_fish'], dtype=object)
A more flexible plotting API¶
metrics.ConfusionMatrixDisplay
,
metrics.PrecisionRecallDisplay
, metrics.DetCurveDisplay
,
and inspection.PartialDependenceDisplay
now expose two class
methods: from_estimator
and from_predictions
which allow users to create
a plot given the predictions or an estimator. This means the corresponding
plot_*
functions are deprecated. Please check example one and
example two for
how to use the new plotting functionalities.
Online One-Class SVM¶
The new class SGDOneClassSVM
implements an online
linear version of the One-Class SVM using a stochastic gradient descent.
Combined with kernel approximation techniques,
SGDOneClassSVM
can be used to approximate the solution
of a kernelized One-Class SVM, implemented in OneClassSVM
, with
a fit time complexity linear in the number of samples. Note that the
complexity of a kernelized One-Class SVM is at best quadratic in the number
of samples. SGDOneClassSVM
is thus well suited for
datasets with a large number of training samples (> 10,000) for which the SGD
variant can be several orders of magnitude faster. Please check this
example to see how
it’s used, and the User Guide for more
details.
Histogram-based Gradient Boosting Models are now stable¶
HistGradientBoostingRegressor
and
HistGradientBoostingClassifier
are no longer experimental
and can simply be imported and used as:
from sklearn.ensemble import HistGradientBoostingClassifier
New documentation improvements¶
This release includes many documentation improvements. Out of over 2100 merged pull requests, about 800 of them are improvements to our documentation.
Total running time of the script: ( 0 minutes 0.382 seconds)


Welcome to the Ionic 2 Workshop!
To get started you'll need the following pre-requisites:
Ionic is a framework for building native iOS and Android apps using Html, JavaScript and CSS.
In this workshop you'll learn how to build iOS and Android mobile apps using Ionic. Throughout the workshop, you'll be building a few apps: ????.
Key concepts and take aways:
You can find additional lab materials and presentation content at the locations below:
There is also a huge community around Ionic, I've compiled a brief list of additoinal resources below.


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