The worldwide web consists of a collection of html documents.
The worldwide web was invented in the early 1990's.'
HTML- HyperText Markup Language - the standard markup language used to create web pages.
Types of files on the web could equal almost anything
HTML documents contain text content which describes "what you see" and markup which describes "how it looks". Reference type material could be documents, images, or videos.
Coding happens when programmers write text in a language that a computer can understand. The computer can then follow the instructions the programmer wrote.
Programmers need to write exactly the way a computer understands (also known as writing with correct "syntax").
 If you forget how to make text italic in HTML, you can always just look it up.
Basic HTML Vocabulary
Inline vs Block Elements
HTML elements are either inline or block. Block elements form an "invisible box" around the content inside of them.
Document Object Model
The "tree-like structure" comes from the fact that HTML elements can have other elements inside of them.
In a browser, this structure shows up as a series of nested boxes. There are boxes inside of boxes inside of boxes, and so on...
Document Object Model - a cross-platform and language-independent convention for representing and interacting with objects in HTML (and other markup languages). The nodes of every document are organized in a tree structure, called the DOM tree.
When you read an HTML document as text, you see a wave of changing indentations going up and down the left side of the document. The more indented an element is, the more deeply nested its corresponding "box" is.
When writing code, programmers use special text editors (like Sublime Text for example). These editors make the programmer's life easier. For example, some text editors will automatically generate a closing HTML tag when you write an opening tag.
Avoiding repetition is important for a variety of reasons.
Avoiding Errors: When programmers don't avoid repetition, they will often have to do the same thing over and over. This may mean copy and pasting certain style attributes into many HTML elements or rewriting the same code (sometimes with minor differences) many times. This can lead to errors when the programmer decides to make a change to something. If they don't dilligently make that same change everywhere the repeated code appears, problems will arise.
Consistency: In this web page, I wanted every lesson to look the same. Instead of manually giving each one the same style, I was able to assign each lesson div the same class and then specify the style for that class in only one place! By avoiding repetition, it's now very easy for me to make changes to this style.
CSS stands for Cascading Style Sheets and they give programmers a way to control the style of related HTML elements. This is done by giving similar HTML elements the same class name and then specifying the style that should apply to that class.


I've found it quite difficult to take my art and have it do anything interesting in javascript. Following my use of the Michael Hartle tutorial on Phaser games, I found that even though I could get my images to appear they never appeared at the correct height until I fixed an error in my javascript syntax. Pictured below is a screenshot of my bugs and revisions document.


Properties
EBITDA
EBITDA: number = 0
avg10Volume
avg10Volume: number = 0
avg30Volume
avg30Volume: number = 0
companyName
companyName: string = ""
currentDebt
currentDebt: number = 0
day200MovingAvg
day200MovingAvg: number = 0
day30ChangePercent
day30ChangePercent: number = 0
day50MovingAvg
day50MovingAvg: number = 0
day5ChangePercent
day5ChangePercent: number = 0
debtToEquity
debtToEquity: number = 0
dividendYield
dividendYield: number = 0
employees
employees: number = 0
enterpriseValue
enterpriseValue: number = 0
enterpriseValueToRevenue
enterpriseValueToRevenue: number = 0
exDividendDate
exDividendDate: string = ""
forwardPERatio
forwardPERatio: number | null = 0
grossProfit
grossProfit: number = 0
marketcap
marketcap: number = 0
maxChangePercent
maxChangePercent: number = 0
month1ChangePercent
month1ChangePercent: number = 0
month3ChangePercent
month3ChangePercent: number = 0
month6ChangePercent
month6ChangePercent: number = 0
nextDividendDate
nextDividendDate: string = ""
nextEarningsDate
nextEarningsDate: string = ""
peRatio
peRatio: number = 0
pegRatio
pegRatio: number = 0
priceToBook
priceToBook: number = 0
priceToSales
priceToSales: number = 0
profitMargin
profitMargin: number = 0
revenue
revenue: number = 0
revenuePerEmployee
revenuePerEmployee: number = 0
revenuePerShare
revenuePerShare: number = 0
sharesOutstanding
sharesOutstanding: number = 0
symbol
symbol: string = ""
totalCash
totalCash: number = 0
totalRevenue
totalRevenue: number = 0
ttmDividendRate
ttmDividendRate: number = 0
ttmEPS
ttmEPS: number = 0
week52change
week52change: number = 0
week52high
week52high: number = 0
week52low
week52low: number = 0
year1ChangePercent
year1ChangePercent: number = 0
year2ChangePercent
year2ChangePercent: number = 0
year5ChangePercent
year5ChangePercent: number = 0
ytdChangePercent
ytdChangePercent: number = 0


Comments
-
Greg Hurrell
Thanks for the report.
Perhaps the
foldmethod=indent
is causing things to be folded because the match listing looks like this:> file1 file2 file3
Note how the first result has a
>
marking it as selected, and the other files have two leading spaces.Personally I use
foldmethod=syntax
, so that is probably why I haven't seen it. I'm going to see if I can make a buffer-local override so that the match listing never has folding activated in it. -
Greg Hurrell
I can reproduce this with:
set foldmethod=indent set foldlevelstart=0
-
Greg Hurrell
Ok, I think this should be fixed by this commit:
It is only a one-line change to the
~/.vim/ruby/command-t/match_window.rb
file, so you can probably insert it yourself if you don't want to wait until the next release. -
Greg Hurrell
Status changed:
- From: new
- To: closed
Add a comment
Comments are now closed for this issue.


ensembleMetadata
Obtain metadata along the rows and members of a state vector ensemble
Description
The ensembleMetadata class provides functions that allow users to query and locate metadata at different points in a state vector ensemble. The class has several main purposes:
Locating data values needed to run proxy system models,
Obtaining the coordinates of state vector elements for covariance localization, and
Reshaping state vector variables back into gridded datasets.
Additionally, by allowing users to locate different elements in an ensemble, the class can help facilitate miscellaneous scientific tasks not explicitly supported by the DASH toolbox.
The following is an overview for using the ensembleMetadata class
Use the “ensemble.metadata” command to return an ensembleMetadata object for a saved state vector ensemble. Alternatively, use the “ensembleMetadata” command to build a metadata object from a stateVector object.
Use “closestLatLon” to locate data values closest to proxy sites for generating proxy estimates.
Use “latlon” to return latitude-longitude coordinates of state vector elements for covariance localization.
Use “regrid” to reshape state vector variables back into gridded datasets.
Use “rows”, “members” and “variable” to return metadata at state vector rows, ensemble members, and variables in the state vector ensemble.
Use “find” and “identify” to locate variables within the overall state vector.
The class also includes methods that return information about an ensemble. Among others, the “variables”, “length”, “members”, “label”, and “dimensions” commands can all facilitate workflows.
The class also provides methods that facilitate splitting ensembles into multiple pieces (for example, variables required for proxy estimation, and variables used in an assimilation prior). The “extract”, “remove”, and “append” methods can assist with manipulating variables, while “extractMembers” ,”removeMembers”, and “appendMembers” can assist with manipulating ensemble members.
Key Methods
The following methods are among the most essential for users
All User Methods
The complete list of methods for users.
Create
Coordinates
Regrid
Metadata
Locate Variables
Variable Information
Manipulate Varaibles
Manipulate Members
Console Display
Utility Methods
Utility methods that help the class run. These do not implement error checking and are not intended for users.


Jtool
jtool aims to be a feature-rich tool for designing and testing intricate needle platforming. I made it because RMJ (I Wanna Record My Jumps) is such an invaluable tool to the fangame community, yet it lacked a lot of features and was a bit quirky in my eyes. Oh, and also because I happened to have the motivation and time to do it.Forum thread
Github repo
More of my fangame tools
Jtool is made by me, Patrickgh3. Please contact me with bug reports (be descriptive), feature ideas, general feedback, and love notes. I'm on Skype often as "patrickgh3", and I stream sometimes on my Twitch channel. I'm also on Github and maybe Twitter if you're into those sort of things.
Special thanks to: YoYoYoDude1 for his GMStudio engine, TheNewGeezer for the original RMJ, and everyone who gave feedback, feature ideas, and encouragement; you know who you are.
Importing Skins - From the jtool black market
Making Skins - Details on the skin format
Code Editor - Supported functionality for dynamic code
Map File Format - How to read jmap files
Using the source code - How to build the project
Draw event abuse - Why multiple views don't work


No, I do not belong here. Professor Dumbledore asked me to analize this muggle world.
Rosari Asty
My favorite food is fried rice
My favorite drink is iced tea
My favorite movie is 500 Days of Summer
You can find me on instagram
@ra.ri.ty_


Taipei
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這是文章主題
從前有位以他智慧而聞名全國的國王，世界上的事情他都沒有不知道的，而且，好像再秘密的事情也能有風聲傳到他的耳朵裡。不過，這位國王有個古怪的習慣：每天吃完晚飯，桌子已經收拾乾淨，而且其他人也都已離開之後，一位忠實的侍從會再來給他端來一道菜。
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There is a lot of evidence that money is not the biggest driver for people. But purpose is. We all enjoy doing something meaningful, something that serves a purpose we think worthy. Contributing to an open source projects is definitely a good way to do something meaningful. sharing First, the philosophy of open source means doing something that allows people to use, modify, share and study valuable code, which is geared towared helping others, something that resonates with many developers. Taking part in open source means working for the advancement of greater shared knowledge.
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Scott Doyle /<EMAIL_ADDRESS>So far, we’ve looked at CNNs for classification.
Central idea: they learn how to generalize the data they see (training) to apply labels to a broad, unseen testing set.
They do this by understanding higher-order relationships between the input data (pixel values).
Meaningful relationships between inputs and groups of inputs are learned, essentially, through trial-and-error (i.e. backpropagation): Using errors in classification to modify the “assumptions” (weights and biases) in the hidden layers.
Think about the life of a CNN: the only thing it knows about the universe is what is contained in the training data.
The CNN is trying to learn a part of the image space related to our problem, which is defined by the training data.
The input image space is finite, meaning there is a limit to how many images you can create given a fixed grid size. Within that grid, every image – from birds to faces to nuclei to genomic arrays – can be constructed.
You can think of this image space as a manifold, where similar images appear close to one another and dissimilar images appear far apart (sound familiar?).
The question we have to ask is: Has the CNN actually learned these relationships? Does it “know” what a tumor patch looks like, or is its idea of a tumor patch fundamentally different from ours?
It would be great if we could ask the system to draw for us what it thinks a particular class is like.
What relationships between data exist in this manifold space?
Can we use this space to create realistic (but “imagined”) additional samples?
How do we build these systems? We need a setup that can do two things:
In this lecture we’ll talk about Variational Autoencoders as the way to do this.
Let’s start by understanding an “autoencoder”.
Simply put, it’s a neural network designed to take an input sample and reconstruct it. So if you have an input $\mathbf{x}$, the autoencoder will spit out $\hat{\mathbf{x}}$, which is it’s attempt to recreate $\mathbf{x}$.
Sounds simple, right?
An autoencoder consists of:
If we want to copy the inputs exactly, we could just say that the hidden layer has the same dimensionality as the input, and the decoder has the same dimensionality as the hidden layer, and then set all the weights to 1.
What would this look like?
Obviously that isn’t what we want. Instead, we restrict – or regularize – the autoencoder so that we can’t perfectly replicate the input data.
By doing this, we force the system to learn only the most important parts of the input, so that it can achieve “pretty good” reconstruction using as little information as possible.
Example: You are moving from your parents’ house into a new apartment. You like your current bedroom, so you try to build a perfect replica in your new place.
If you could bring everything you own – if the “bandwidth” of the moving van allowed you to bring all your possessions – then you could build a 1:1 replica of your room in your new place.
But if we impose a bottleneck – for example, you can’t afford a moving van and have to cram everything into a tiny car – then you have to pick and choose what to bring with you to create the closest possible replica.
It won’t be perfect, but what you choose to bring says a lot about what you think is important in the “concept” of what your bedroom is like.
One easy way to bottleneck is to specify that our encoder function $\mathbf{h}=f(\mathbf{x})$ must have a lower dimension than the input $\mathbf{x}$. Thus, we are by definition throwing away some data when going from $\mathbf{x}\rightarrow\mathbf{h}$.
This is called an undercomplete autoencoder, and as with all neural networks, it’s trained by defining a loss function:
$ L(\mathbf{x}, g(f(\mathbf{x}))) $
… which penalizes the system if the reconstruction output is dissimilar from the input.
If $L$ is the mean squared error and the decoder function is linear, then the subspace learned by the autoencoder is similar to PCA.
If the decoder function is nonlinear, then we can build a more generalizable and powerful version of PCA – this is good!
But if the encoder and decoder have too much capacity, then they will not extract any useful data from the training. Instead, they will just “memorize” the training set, mapping each input to a single value in the hidden layer – this is bad!
So… how do we know how much capacity to give our network?
By designing our system cleverly, we can address the issue of “capacity” by making sure that our system has the right goals (defined by the loss function) to learn important features of the input data without memorizing them.
There are a bunch of ways to do this, and a lot of them involve changing the loss function so that the network needs to learn to do something in addition to copying the inputs.
Sparse Autoencoders add a sparsity term to the loss, so that the loss function becomes:
$ L(\mathbf{x}, g(f(\mathbf{x}))) + \Omega(\mathbf{h})$
The sparsity term $\Omega(\mathbf{h})$ is designed such that it forces the system to learn classification in addition to the reconstruction.
Denoising Autoencoders work by modifying the loss function to be:
$ L(\mathbf{x}, g(f(\widetilde{\mathbf{x}}))) $
where $\widetilde{\mathbf{x}}$ is a copy of $\mathbf{x}$ with some random noise added to it. So now, the second task is to remove the noise component from the sample as well as reconstruct it from the code layer.
You can also create a version of a sparse encoder where the error term takes both $\mathbf{x}$ and $\mathbf{h}$ as parameters:
$ L(\mathbf{x}, g(f(\mathbf{x}))) + \Omega(\mathbf{h}, \mathbf{x}) $
In this version, $\Omega(\mathbf{h}, \mathbf{x})$ is of the form:
$ \Omega(\mathbf{h}, \mathbf{x}) = \gamma \sum_{i} |\nabla_{\mathbf{x}} h_{i}|^{2} $
What this means is that if the gradient of $\mathbf{x}$ is small, then the sparsity term is small and the classifier is close to calculating the reconstruction loss exclusively. If the gradient is large, then the loss will have to include a giant term, leading to more regularization.
This is called a contractive autoencoder.
As you can imagine, there are a bunch of different ways you can try to manipulate autoencoders to give you what you want: A meaningful representation of the input data, encoded as $\mathbf{h}$, that represents a low-dimensional set of features related to the “image-space”.
However, you can do more than just add terms to the loss function…
So far, the autoencoders are deterministic – meaning that a particular input is always mapped to the same code, and the same code is always mapped to a particular output.
A VAE takes a slightly different approach by defining the encoder and decoder probabilistically:
$ q_{\phi}(\mathbf{h}|\mathbf{x}) \qquad \textrm{Encoder} $
$ p_{\theta}(\widetilde{\mathbf{x}} | \mathbf{h}) \qquad \textrm{Decoder} $
This means that, given an input $\mathbf{x}$, there is a probability that we will observe $\mathbf{h}$, and given a particular $\mathbf{h}$, there is another probability that we will observe $\widetilde{\mathbf{x}}$. These probabilities are parameterized by $\phi$ and $\theta$, respectively.
We still need to “regularize”, since the probabilities could learn to be arbitrarily small (i.e. the distributions governing the mapping could just become delta functions, with zero variance). So we force the system to implement a conjugate prior in the form of a spherical unit Gaussian:
$ \mathbf{h}\sim\mathcal{N}(0,I) $
Why is this useful?
In a Bayesian world, the things that we observe are random variables. This means that there is some underlying distribution or “law” that says that certain observations – like a particular nuclear radius – occur with a specific probability.
The goal in Bayes is to try and estimate that probability through observation or training.
By applying this process to autoencoders, we’re saying that each image is a sample of a distribution of possible images, and the dimensions of the latent space encode salient features of the image.
This means that in our low-dimensional code $\mathbf{h}$, one dimension might refer to the “tilt” of the numbers, one might refer to the sharpness of its corners, etc.
So now, we can do two things:
I think some examples are in order…
Finally, we can do something pretty cool: let’s pick a set of continuous points in the latent space, and generate samples from an evenly-spaced grid going from one section to another and generating a continuous set of samples from the space.
This helps us to visualize how the network “thinks” the universe appears, based on the training data!
These methods are very interesting, but we can make them even better by pitting them against each other!
In the next lecture we’ll talk about adversarial networks, where two classifiers “fight it out” so that each gets better at creating new samples.


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Functions
A shortcut for request(:delete, url, options)
A shortcut for request!(:delete, url, options)
A shortcut for request(:get, url, options)
A shortcut for request!(:get, url, options)
A shortcut for request(:head, url, options)
A shortcut for request!(:head, url, options)
A shortcut for request(:options, url, options)
A shortcut for request!(:options, url, options)
A shortcut for request(:patch, url, options)
A shortcut for request!(:patch, url, options)
A shortcut for request(:post, url, options)
A shortcut for request!(:post, url, options)
A shortcut for request(:put, url, options)
A shortcut for request!(:put, url, options)
Sends an HTTP request
Deprecated form of request
; body and headers are now options, see request/3
Like request
, but raises HTTPotion.HTTPError
if failed
Deprecated form of request
with the direct
option; body and headers are now options, see request/3
Starts a linked worker process for use with the direct
option
Starts a worker process for use with the direct
option
Ensures that HTTPotion and its dependencies are started
Stops a worker process started with spawn_worker_process/2
or spawn_link_worker_process/2
Link to this section Functions
A shortcut for request(:delete, url, options)
.
A shortcut for request!(:delete, url, options)
.
A shortcut for request(:get, url, options)
.
A shortcut for request!(:get, url, options)
.
A shortcut for request(:head, url, options)
.
A shortcut for request!(:head, url, options)
.
A shortcut for request(:options, url, options)
.
A shortcut for request!(:options, url, options)
.
A shortcut for request(:patch, url, options)
.
A shortcut for request!(:patch, url, options)
.
A shortcut for request(:post, url, options)
.
A shortcut for request!(:post, url, options)
.
A shortcut for request(:put, url, options)
.
A shortcut for request!(:put, url, options)
.
request(atom, String.t, [{atom, any}]) :: %HTTPotion.Response{body: term, headers: term, status_code: term} | %HTTPotion.AsyncResponse{id: term} | %HTTPotion.ErrorResponse{message: term}
Sends an HTTP request.
Args:
method
- HTTP method, atom (:get, :head, :post, :put, :delete, etc.)url
- URL, binary string or char listoptions
- orddict of options
Options:
body
- request body, binary string or char listheaders
- HTTP headers, orddict (eg.["Accept": "application/json"]
)timeout
- timeout in ms, integerbasic_auth
- basic auth credentials (eg.{"user", "password"}
)stream_to
- if you want to make an async request, the pid of the processdirect
- if you want to use ibrowse’s direct feature, the pid of the worker spawned byspawn_worker_process/2
orspawn_link_worker_process/2
follow_redirects
- if true and a response is a redirect, header[:Location] is taken for the next request
Returns HTTPotion.Response
or HTTPotion.AsyncResponse
if successful.
Returns HTTPotion.ErrorResponse
if failed.
Deprecated form of request
; body and headers are now options, see request/3
.
request!(atom, String.t, [{atom, any}]) :: %HTTPotion.Response{body: term, headers: term, status_code: term} | %HTTPotion.AsyncResponse{id: term}
Like request
, but raises HTTPotion.HTTPError
if failed.
Deprecated form of request
with the direct
option; body and headers are now options, see request/3
.
Starts a linked worker process for use with the direct
option.
Starts a worker process for use with the direct
option.
Ensures that HTTPotion and its dependencies are started.
Stops a worker process started with spawn_worker_process/2
or spawn_link_worker_process/2
.


Runescape PKing 101
This is a quick video to get you started on PKing on OSRS, with some tips and tricks and things to understand.
This is one of the only RS3 Pking guides I found.
This is a quick video to get you started on PKing on OSRS, with some tips and tricks and things to understand.
This is one of the only RS3 Pking guides I found.


To get the Textpert's number
Follow the instructions below.
1. Choose a Subject
2. Send a question via text to the number shown
3. Our Textperts will get back to you asap!


Chili Con Carne
Ingredients
- Canned Whole Peeled Tomatoes
- Red Peppers
- White Onions
- Chili Pepper
- Garlic
- Ground Beef
- Kidney Beans
- Dark Chocolate
- Chili Powder
- Tomato Paste
- Beef Stock (optional)
- Neutral Oil
- Cilantro
- Sugar
- seasoning
- cumin
- paprika
- chili flakes
Directions
- Brown the beef by adding it to a pot with neutral oil. Start breaking it into small pieces. Allow water to leave the meat. Salt it to expel more water. Once water is gone, the sound will change and it will start to fry. Let it get a dark brown. Remove beef and set aside.
- Dice onions, red peppers, and chili peppers into small pieces (dice). Sautee until translucent. Add finely chopped garlic, chili flakes, paprika, cumin, and oregano.
- Add tomato paste to vegetables and let brown.
- Add meat to the vegetables.
- Add whole peeled tomatoes and some water (or stock).
- Simmer for at least 45-60 minutes. Stir occasionally and add liquid if getting too dry.
- Stir in kidney beans and dark chocolate.
- Serve over rice and garnish with fresh cilantro.
Contribution
Recipe tags:
mexican
beef
beans


| DOSE: T+ 0:00 |
3.5 g |
oral |
Mushrooms |
(dried) |
| T+ 0:50 |
2 hits |
smoked |
Cannabis |
(plant material) |
This is my first experience submitting a report, though I am a long time reader and browser. First, a little background to give you an idea of my situation.
First, I am a 19 year old male, currently enrolled in a major west coast university, and majoring in philosophy, which should give you a little idea of my mindset. At the time of my experience, I was nearing the completion of my freshman year; finals were about to start. I was feeling very prepared, and so wasn't nervous at all. I had just returned from a weekend with my girlfriend celebrating her birthday, so I was in a very good mood.
During the course of the weekend, I had happened to run into a friend of mine who had some mushrooms, and so I bought an 8th of an ounce from him. I planned to take them as a sort of 'last hurrah' before the end of the semester with my roommates, whom I would not see for the summer. I did not eat that day in anticipation of it, and I took the entire 8th at approximately 7:30 pm, in the company of my roommate and his boyfriend.
I have had experience with marijuana and mushrooms before. However, I had only done them once before, with what I thought was an eighth, and that is the limit of my personal experience. However, I am a dedicated drug policy reform activist, and run a drug resource center on my campus, so I am very well read on drugs and their effects. Something that I would be very glad of later. Anyway, on to the actual report. I didn't take notes, so all times are approximate.
7:30 pm: Ate the entire 8th of mushrooms straight. Swigged a mouthful of Pepto-Bismol to help prevent nausea.
8:00 pm: Definitely feeling something; getting the usual 'sense that something is different' feeling of coming up on mushrooms. Sat watching my roommate playing Star Wars: Jedi Academy on his computer until it started to make me dizzy.
8:10 pm: Interesting iridescent patterns appeared on the carpeted floor, resembling stained-glass patterns that shimmered and shifted while I watched.
8:20 pm: My roommate (Mark) and I decided to smoke some pot, so he loaded the bowl of his bubbler (I was too far gone by this point to do it), and we each took two large hits, which got him pretty stoned and catipulted me into the stratosphere. I popped on Pink Floyd's Ummagumma, and we both sat and listened for a while.
I was heavily tripping by this point, and still coming up. The walls were 'breathing,' and I noticed pronounced shifting and melting in objects. I checked my pupils in the mirror, and they were very dialated. I noticed some differences in light effects as well, with 'halos' appearing around objects, and bright lights periodically flashing at the periphery of my vision.
8:35 pm: My roommate's boyfriend (James) decided to join us, and Mark loaded a new bowl. I opted not to smoke anymore, since I was already tripping heavily. While Mark and James smoked, I sat on my bed and stared at the black light poster I have, occasionally breaking into uncontrollable laughter for no apparent reason.
8:45 pm: Mark and James were quite stoned by now, so we all decided to watch some Futurama on Mark's computer. While we were waiting for the download to finish from Kazaa, I noticed that the words on the computer screen were shifting around and reforming into large letters and words. We watched two episodes of Futurama, which were absolutely hilarious.
9:00 pm: During the episodes of Futurama, Mark got the munchies and and ate half a pint of ice cream, after which he handed the rest of the tub to me. By this time I was tripping too hard to eat, and so spent the next 15 minutes just running my hands over the cold tub. Tactile sensations are always excellent for me when I am on shrooms.
9:15 pm: I found a twist tie in my pocket, and was very intrigued with the sensation of twisting it around my fingers. The trip was still increasing, and for the first time I started to get slightly nervous.
9:20 pm: Mark got slightly annoyed with James, and snapped at him once. I started to pick up negative vibes from them, and so retired to my bed to watch Waking Life, which Mark had burned for me earlier.
9:40 pm: The negative vibes were increasing, and I found myself focusing on an irrational annoyance with James for pissing Mark off, even though I could tell that by that time they'd made up and everything was fine.  I put on my sleeping mask and ear plugs and laid down.
9:50 pm: I was getting really nervous about the fact that not only was I not coming down, but that I seemed to still be coming up. The lights were off, and when I opened my eyes, the fire sprinklers on the ceiling seemed to turn into large spiders and start to walk around. This was disturbing, and I really wanted Mark and Jason to leave so I could get myself under control.
10:00 pm: Mark and James left for James' house for the night. I was still tripping very, very hard, and was starting to get really freaked out. I think I peaked sometime around here. I took my earplugs out, and thought I heard people walking by outside my window talking in my own voice about the thoughts I was experiencing in my own mind. I felt like I was schizophrenic; I couldn't silence my own mind. My negative thoughts were spiraling out of control. I couldn't figure out what was going on, where I was, or even who I was.
My mind was gone. I couldn't even form linguistic thoughts; I couldn't figure out how to construct the English language. When I tried to speak or think verbally, only a random jumble of unrelated words came out. My only thoughts were strict negative impressions. I cried out in my mind for someone, anyone to help me. I'm a devout atheist, and I prayed to God, Allah, Jesus, anyone that would help me. No help was forthcoming. Hence I remained a devout atheist after the trip. All I could think of was how horrible it would be to never see my girlfriend again. I thought I was dying for sure.
10:20 pm: I was still tripping heavily, and still having the most horrible experience of my life. I thought that I might be dying, and worried that I'd taken a fatal dose, or had the wrong kind of mushrooms. The drug resource center part of my brain knew that this was a normal fear for a bad trip, and tried to explain this to my hysterical brain, but I couldn't or wouldn't listen. I tried to talk myself through the trip, and I think I even spoke outloud to myself a few times. I knew rationally that I would get through it, but I couldn't stop thinking that I'd gone permanently insane. I knew that this was ridiculous, but I couldn't stop thinking it anyway.
I was afraid that I had triggered some kind of latent schizophrenia. All I could think was that this was like a waking nightmare, and I wanted to wake up. I couldn't focus on any kind of logical thought for more than a few seconds at a time, and the auditory and visual hallucinations continued. I heard a voice that sounded like mine saying 'And think, just this morning I was sitting there with Chelsea.' Chelsea is my girlfriend's name; I still don't know if this was real or a hallucination, but it freaked me out even more. I thought about calling 911, but was able to restrain myself with assurances that I would be ok within an hour.
10:35 pm: The trip started to recede. I was able to think, and I started to let myself hope that I would be out of it soon. I still couldn't think rationally, but at least I could talk again.
10:50 pm: I was down enough to call my girlfriend and tell her what had happened. She was at work, but she left immediately and went home to talk me through the rest of it. I explained what had happened, and she assured me that I would be back to normal in the morning.
11:15 pm: My other roommate, Aaron, returned from a party. I told him that I'd had a bad trip and needed to talk to Chelsea for a while. He obliged and went to talk to a mutual friend of ours who lived next door.
12:00 am: I felt well enough to go to bed, so I said goodbye to Chelsea, and went to tell Aaron that it was ok to come back. I was still tripping fairly heavily, as the objects around the house were still shifting and melting. I went to bed anyway.
I didn't sleep at all that night. My mind was still racing, but I was glad that I was coming down at last. I think I might have started to doze around 5:00 am, but I'm not sure. In any case, I woke up the next morning feeling tired, but back to reality. As I told Aaron, 'Reality never looked so good.'
I realized later that I had actually taken twice the dose I took the first time I used. I was irresponsible and stupid, and I should have calculated the dose more appropriately. I still don't know what set me off on the negative trip. It was irresponsible of me to not have a sober sitter; always have someone around who knows what to do when you are experimenting with higher doses of anything.  I hope someone will learn something from my rashness.
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.


It’s often there are multiple ways of doing the same thing. That’s why we have this guideline. This is not about which is correct/wrong. It is for aligning us to the same direction.
Scope the impact to minimal¶
If you want to change some setting, please try to scope down the impact to be local.
Prefer target_include_directories to include_directories
Prefer target_compile_definitions to add_definitions
Prefer target_compile_options to add_compile_options
Don’t touch the global flags like CMAKE_CXX_FLAGS
For example, to add a macro definition to one VC project, you should use target_compile_definitions, not the add_definitions.
Static library order matters¶
First, you should know, when you link static libraries to an executable(or shared library) target, the order matters a lot. Let’s say, if A and B are static libraries, C is an exe.
A depends B.
C depends A and B.
Then you should write
target_link_libraries(C PRIVATE A B)
Not
target_link_libraries(C PRIVATE B A) #Wrong!
On Windows, the order of static libraries does matter if a symbol is defined in more than one library. On Linux, it matters when one static library references another.
So, in general, please always put them in right order (according to their dependency relationship).
Don’t call target_link_libraries on static libraries¶
You could do it, but please don’t.
As we said before, library order matters. If you explicitly list all the libs in one line, and if some libs were in wrong position, it’s easy to fix.
However, if any static lib was built with target_link_libraries,
First you should know ,there is no link step for a static lib
Second, once you hit the ordering problem, it would be harder to fix. Because many of the deps were implicit, and their position would be out of our control.
Don’t use the “-pthread” flag directly.¶
Because:
It doesn’t work with nvcc(the CUDA compiler)
Not portable.
Don’t bother to add this flag to your compile time flags. On Linux, it’s useless. On some very old unix-like system, it may be helpful, but we only support Ubuntu 16.04.
Use “Threads::Threads” for linking. Use nothing for compiling.
CUDA projects should use the new cmake CUDA approach¶
There are two ways of enabling CUDA in cmake.
(new): enable_language(CUDA)
(old): find_package(CUDA)
Use the first one, because the second one is deprecated. Don’t use “find_package(CUDA)”. It also means, don’t use the vars like:
CUDA_NVCC_FLAGS
CUDA_INCLUDE_DIRS
CUDA_LIBRARIES
So, be careful on this when you copy code from another project to ours, the changes may not work.


All configurations should be passed as environment variables to the Docker on run
| Option | Value | Default |
|---|---|---|
| RABBIT_URI | Rabbit uri that is available to both the server and the consumers, if there's a need to expose different uri to the consumers, use CONSUMER_RABBIT_URI. If no value is given, ticktok will work in http mode. | http mode |
| RABBIT_CONSUMER_URI | Use this to set a different rabbit uri for consumers, most of the time you'll want this to reduce permissions of consumers | RABBIT_URI |
| MONGO_URI | This should include the database name as follows: mongodb://domain/db_name. If no value is given it will be configured to an internal in-memory database. Internal database should be used for testing purpose only. | internal |
| ACCESS_TOKEN | This is the security token. Default value is provided only for testing purpose. You should replace it for production environments. | ticktok-zY3wpR |
The server will serve at port 8080 by default


{% extends 'layout-lab-3-diabetes.html' %} {% block pageTitle %} Diabetes - NHS.UK {% endblock %} {% block content %}
Antibiotics are used to treat or prevent some types of bacterial infection. They work by killing bacteria or preventing them from spreading. But they do not work for everything.


ui-view
ui.router.state
The ui-view directive tells $state where to place your templates.
<ui-view [ui-view="{string}"] [autoscroll="{string}"] [onload="{string}"]> </ui-view>as attribute
<ANY ui-view="{string}" [autoscroll="{string}"] [onload="{string}"]> ... </ANY>as class
<ANY class="ui-view: {string}; [autoscroll: {string};] [onload: {string};]"> ... </ANY>
| Param | Type | Details |
|---|---|---|
| ui-view (optional) | string | A view name. The name should be unique amongst the other views in the same state. You can have views of the same name that live in different states. |
| autoscroll (optional) | string | It allows you to set the scroll behavior of the browser window when a view is populated. By default, $anchorScroll is overridden by ui-router's custom scroll service, ui.router.state.$uiViewScroll. This custom service let's you scroll ui-view elements into view when they are populated during a state activation. Note: To revert back to old |
| onload (optional) | string | Expression to evaluate whenever the view updates. |
Fired once the view is loaded, after* the DOM is rendered.
| Param | Type | Details |
|---|---|---|
| event | Object | Event object. |
A view can be unnamed or named.

You can only have one unnamed view within any template (or root html). If you are only using a single view and it is unnamed then you can populate it like so:

 $stateProvider.state("home", { template: "
HELLO!
" })
The above is a convenient shortcut equivalent to specifying your view explicitly with the views
config property, by name, in this case an empty name:
$stateProvider.state("home", { views: { "": { template: "
HELLO!
" } } })
But typically you'll only use the views property if you name your view or have more than one view in the same template. There's not really a compelling reason to name a view if its the only one, but you could if you wanted, like so:

$stateProvider.state("home", { views: { "main": { template: "
HELLO!
" } } })
Really though, you'll use views to set up multiple views:

$stateProvider.state("home", { views: { "": { template: "
HELLO!
" }, "chart": { template: "<chart_thing/>" }, "data": { template: "<data_thing/>" } } })
Examples for autoscroll
:
 <ui-view/>  <ui-view autoscroll/>  <ui-view autoscroll='true'/> <ui-view autoscroll='false'/> <ui-view autoscroll='scopeVariable'/>


As a user, I would like to enter the 3 sides of a triangle using a Javascript prompt box. After entering all the 3 sides of a triangle, I should get the following results using the alert box:
Equilateral: All sides are equal
Isosceles: Exactly 2 sides are equal
Scalene: No sides are equal
NOT a triangle: The sum of the lengths of any two sides of a triangle is less than or equal to the length of the third side


Version 4.0.0-beta.1¶
Release Date: Not released
Highlights:
- New View Layouts provide simple way to create site site view templates.
- Fixed user guide CSS for proper wide table display
- Converted UploadedFile to use system messages
- Numerous database, migration & model bugs fixed
- Refactored unit testing for appstarter & framework distributions
New messages:
- Database.tableNotFound
- HTTP.uploadErr...
App changes:
- app/Config/Cache has new setting: database
- app/Views/welcome_message has logo tinted
- composer.json has a case correction
- env adds CI_ENVIRONMENT suggestion
The list of changed files follows, with PR numbers shown.
- app/
- Config/
- Cache #1719
- Views/
- welome_message #1774
- system/
- Cache/Handlers/
- RedisHandler #1719, #1723
- Config/
- Config #37dbc1
- Services #1704, #37dbc1
- Database/
- Exceptions/DatabaseException #1739
- Postgre/
- Builder #1733
- SQLite3/
- Connection #1739
- Forge #1739
- Table #1739
- BaseBuilder #36fbb8, #549d7d
- BaseConnection #549d7d, #1739
- Forge #1739
- MigrationRunner #1743
- Query #36fbb8
- Seeder #1722
- Debug/
- Exceptions #1704
- Files/
- UploadedFile #1708
- Helpers/
- date_helper #1768
- number_helper #1768
- security_helper #1768
- text_helper #1768
- url_helper #1768
- HTTP/
- Request #1725
- Language/en/
- Database #1739
- HTTP #1708
- View #1757
- Router/
- RouteCollection #1709, #1732
- Router #1764
- Test/
- ControllerResponse #1740
- ControllerTester #1740
- DOMParser #1740
- FeatureResponse #1740
- Validation/
- Rules #1738, #1743
- Validation #37dbc1, #1763
- View/
- View #1729
- Common #1741
- Entity #6e549a, #1739
- Model #4f4a37, #6e549a, #37dbc1, #1712, #1763
- tests/system/
- Database/
- BaseQueryTest #36fbb8
- Live/
- SQLite3/AlterTableTest #1739, #1740
- ForgeTest #1739, #1745
- ModelTest #37dbc1, #4ff1f5, #1763
- Migrations/MigrationRunnerTest #1743
- Helpers/
- FilesystemHelperTest #1740
- I18n/
- TimeTest # 1736
- Test/
- DOMParserTest #1740
- Validation/
- ValidationTest #1763
- View/
- ViewTest #1729
- EntityTest #6e549a, #1736
- user_guide_src/
- _themes/.../
- citheme.css #1696
- changelogs/
- v4.0.0-alpha.5 #1699
- database/
- migrate #1696
- dbmgmt/
- forge #1751
- installation/
- install_manual #1699
- running #1750
- intro/
- psr #1752
- libraries/
- caching #1719
- validation #1742
- models/
- entities #1744
- outgoing/
- index #1729
- view_layouts #1729
- testing/
- controllers #1740
- tutorial/
- static_pages #1763
- composer.json #1755
- .env #1749
PRs merged:¶
- #1774 Housekeeping for beta.1
- #1768 Helper changes - signatures & typos
- #1764 Fix routing when no default route has been specified. Fixes #1758
- #1763 Ensure validation works in Model with errors as part of rules. Fixes #1574
- #1757 Correct the unneeded double-quote (typo)
- #1755 lowercase ‘vfsStream’ in composer files
- #1752 Fixed typo preventing link format
- #1751 Guide: Moving misplaced text under correct heading
- #1750 Remove reference to Encryption Key in User Guide
- #1749 Adding environment to .env
- #1745 Updated composite key tests for SQLite3 support. Fixes #1478
- #1744 Update entity docs for current framework state. Fixes #1727
- #1743 Manually sort migrations found instead of relying on the OS. Fixes #1666
- #1742 Fix required_without rule bug.
- #1741 Helpers with a specific namespace can be loaded now. Fixes #1726
- #1740 Refactor test support for app starter
- #1739 Fix typo
- #1738 Fix required_with rule bug. Fixes #1728
- #1737 Added support for dropTable and modifyTable with SQLite driver
- #1736 Accommodate long travis execution times
- #1733 Fix increment and decrement errors with Postgres
- #1732 Don’t check from CLI in Routes. Fixes #1724
- #1729 New View Layout functionality for simple template
- #1725 Update Request.php
- #1723 Log an error if redis authentication is failed
- #1722 Seeder adds default namespace to seeds
- #1719 Update Cache RedisHandler to support select database
- #4ff1f5 Additional tests for inserts and required validation failing (#1717)
- #549d7d Another try at getting escaping working correctly both when in and out of models
- #1712 Minor readability changes
- #37dbc1 Ensure Model validation rules can be a group name
- #1709 Fix resource routing websafe method order checking
- #1708 Language for UploadedFile
- #36fbb8 BaseBuilder should only turn off Connection’s setEscapeFlags when running a query...
- #6e549a Provide default baseURL that works with the development server for easier first time setup (Fixes #1646)
- #1704 Fix viewsDirectory bug (#1701)
- #4f4a37 remove debugging from Model.
- #1699 Fix install link in user guide
- #1696 Fix page structure etc
- #1695 Tidy up code blocks in the user guide


Your organisation size will determine the level of funding you may receive.
Changing the organisation size will reset the funding level.
To determine your funding level please provide your business size. If you are unsure please use the EU Definition for guidance.


Current generation
Mutate next generation
go!
Breed next generation
go!
Arena Settings
Settings
Evolve 10 generations
Info
Population
Parts
Chassis
drawing overlay
ui overlay


Specify the file path of the output file to save diff result.
The base directory to specify a relative path is workspace.(e.g. 'build/report/result_diff.txt')
If the directory is not under workspace, you should write an absolute path. (e.g. '/var/proj/report/result_diff.csv')


Formal Usability Study
Usability Study Plan
Question
What manner of “opening” screen makes secondary users most willing to engage in nonverbal chats through our medium?
Hypothesis
We are currently assuming that people are most comfortable beginning a nonverbal conversation when introduced to the context with a conversational message. Examples of conversational messages are “Let’s chat nonverbally!”, “I’m in!”, and “No thanks”. We would like to see whether this is, in fact, the case--or, whether a “clinical” or informational approach might be better-received by the secondary users (see below).
Variables
We are looking to prototype three different types of text on the opening screen:
- Conversational
- Clinical (objective/non-personal background on nonverbal communication)
- Informational (personal - why I, specifically, am not talking)
Figure 1: The backend selection of options for us, the user researchers.
Figure 2: The A-B-C testing options we presented to users.
(left) Conversational, (middle) Clinical, (right) Informational.
Constants
- Rest of the application
- Phone handoff
- Interaction flow - from landing page to “yes” / “no,” the same information and options will be presented; we’re just looking at how these choices are “framed.”
Response Variables
- How comfortable the secondary user feels in responding; how likely they would be to respond. This will be asked individually, on a 1-5 scale immediately after using it, and as a relative ranking after all three have been tried.
- Whether the secondary user physically responds as we want - taking the phone and tapping/writing out their responses, or just nods, or taps the button in the primary user’s hand.
- The amount of time it takes for the secondary user to give a response.
Truth-testing
If our hypothesis is correct, we would expect to see that the secondary user would respond in a shorter period of time with greater comfort to a conversational style home screen. If a different option is better, we would expect the same flags to point towards a clinical or informational approach instead.
Ideal Experimental Method
We would like to test a single option with a large number of random people - for example, initiate contact “in the wild” with a random selection of people on a subway, sidewalk, etc.; if we show 40 people just a conversational opening and see if they continue, and show 40 people clinical and 40 people informational, we could get a general idea of which framing is better-received by the population at large.
Due to resource and time constraints, we will instead test all three interface options (in a random order) with each individual subject; this will mean that by the second and third trials the subject is more familiar with the process, and is thus less accurate. However, we will record that that we show these to each subject in order to compare the response variables for each try and account for the subjects’ learning.
Usability Study Results
A general overview of observations from both informal and formal usability testing
When testing the type of message that users see upon opening of the app, we noticed that there wasn’t a total consensus of which screen was the best. Different elements of each appealed to different people. For example, users preferred when the text was specific enough that they knew the situation was, but some text was too specific and colored the conversation. An example of that is our current informational screen saying “I might be having an anxiety attack” lead users to feel like this might be an emergency and they couldn’t say no to the conversation. However, one of our users noted that they said “I’m in” when presented with the conversational screen because they felt curious about what the conversation would be about.
Some specifics that we learned about different opening screen types:
-
Informational led to a counterproductive tone; clinical and conversational were both preferred similarly frequently.
But, the information in clinical and informational was seen as desirable by several users, as “conversational” doesn’t (yet) provide much of a “why.”
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Users felt uneasy about the conversational tone because it didn’t explain the current situation
However, at least one user was curious about what the conversation would be about, which is similar to what happens with verbal conversations.
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Too much text will turn away certain users. Our informational screen had a large amount of text, and users didn’t want to read all of that text just to start a conversation.
Reporting on Response Variables
Our variables include the time it took users to take the phone, what their action was, and then we asked them how comfortable they were beginning the conversation. A link to our results can be found here.
Many of the variables that we tried to measure were more difficult to measure than we thought that they would be. For example, timing how long it takes users to do various things is difficult when you are the one interacting with them. Also, we were trying to record button flow as the user went through the app, so it is difficult to keep track of both things at the same time. From the tests we did, there was no discernable time difference in interactions with the different versions we presented.
Another complication of our variables is that we were trying to measure how users react to the app when seeing it for the first time. But because we wanted to test multiple opening screens, that mean that we were testing the same opening with the same user multiple times. Thus, the results for the second trial are influenced by the fact that the users have already experienced the app and are familiar with what we are trying to do. We attempted to mitigate this issue by testing different orderings of opening screens. That way, we could compare all of the users who had one type of screen initially with users who had a different type of screen the second time.
Furthermore, since we were doing user testing with fellow students, they may have been more comfortable taking the phone because they are accustomed to people showing them things they’ve made on their phone. While we got valuable information from them about the comfort or discomfort of handing off and receiving phones, we would need to test our interface with people who didn’t know about the project or class to get a better sense of that.
Interpreting Response Variables
In addition to learning specifically about what we were studying, we learned more about other aspects of the initial interaction. Based on the data, it looks like about half of our users tapped buttons on the phone rather than taking it. This indicates that there might be a larger usability problem: as a person who is nonverbal, how can you communicate to the other person that they are supposed to take the phone from your hands? If half of the time that you interact with other users, they don’t respond in the way that you want them to, that needs to be fixed.
Interestingly, our theory was that users would prefer the conversational intro because there is less startup time, and it feels for playful, so we thought that users would be more comfortable and relaxed entering that conversation. Instead, it seems that some users felt confused by the lack of information and uneasy at not knowing what was happening.
Implementing Results
Our experiment was pretty straight-forward in that the data shows us which of the three were preferred by the user. The results of our experiment are interesting, because we aren’t going to choose any of the three options directly. We are going to think about the elements of each of the things we tested that people preferred, and think about how to create opening text that incorporates those elements. However, it seems that there weren’t any unique aspects of the informational text that people preferred. People didn’t like how much specific medical information the informational gave, and the text was too long as an introduction to a casual conversation.
Aspects of various screens that users liked or preferred: information about what the app was, a lack of information that colored the tone of the conversation immediately, and a medium length of text that isn’t too tedious to read.
There were, though, several significant issues with our study methodology--ones which we would ideally address, given greater time and resources, but which certainly colored our present results. For example: when trying to gauge how someone would react “in the wild” - their organic responses to an interface - we should ideally not know the user and bring up the subject of usability testing. Unfortunately, we knew pretty much the entire sample population; as such, there was a baseline level of comfort/familiarity which would not be found by our actual primary users.
Additionally, the level of willingness to converse with someone, using their phone, was undoubtedly inflated: in our tests, users were hesitant to take someone else’s phone, but were much more willing to take a “leap” due to their previous interactions with us (courses, conversations, etc.).