Coding Guidelines
General Guidelines
- All file names for HTML, CSS, JS needs to be in lowercase, use hyphens where necessary
- JS Function names need to be in camelCase and should explain what the function is doing.
- CSS Class preferably need to be in lower case using hyphens if necessary, but we can live with camelCase too
- Striclty follow DRY ( Do not Repeat Yourself). If you find yourself copying and pasting code from one function/class to another, You are doing it WRONG
- No 2 functions or classes should have 50% or more similar code
-
HTML
- Keep your DOM as minimal as possible, everything doesn't need to be in a div, eg: you can directly style an <a > tag, there is no need to put that into a div or span tag.
- Every HTML page should have one and only one H1 tag
- You cannot have H2 or H3 above an H1 tag they need to be sequental
- Don't you even dare write inline CSS
- Validate your HTMLs using W3C valiator, and get your error count to as minimum as possible.
JavaScript / jQuery
- ALWAYS Call Libraries like jQuery, bootstrap, Angular from a CDN. Call them from here https://developers.google.com/speed/libraries/devguide
- Never EVER EVER write your code directly into a jquery or any other JS library file. This will wipe out the code when you upgrade the library & you'll also get a lot of bad Karma
- Do not create global variables, this will lead to memory leaks and browser crashing.
- A single Functions cannot have more than 50 lines of code.
- Use Switch Cases instead of if else whereever possible.
CSS
- Follow a Modular Structure for your CSS, refer to SMACSS from Jonathan Snook
- Place all the Global CSS classes towards the top of the file clearly commented where it starts and ends or ideally place them in a seperate file
- Avoid writing generalized CSS that modifiy DOM or need to iterate through DOM, it causes the pages to load slower.
Bootstrap
- Use the Variables.less to define all the variables you'll need
- In the Bootstrap.less file, Include only the necessary less files and comment out the ones you dont need.
- For wirting custom CSS and Less classes create a file called custom.less and write all your code
- Use Mixins to contain all browser prefixes
- Use Variables for defineing all the color hex codes
- Use the + or - operators to get lighter or darker shade of a color ideal to be used for mouseover effects, shadows, glow effects etc.


Representative cross-sectional view of the right femur during the early fetal period on 7-T MR image. The crown–rump length (CRL) of each fetus is indicated below the images. Yellow arrow: phase 4; red arrow: phase 5 according to Streeter’s classification. The region between the yellow arrows at the diaphysis corresponds to phase OS. The region outside the yellow arrows corresponds to phases 1–3.


add li
remove li
add and immediately remove li
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felis Clade distribution RCP. change climate current Australia flea using Ctenocephalides haplotypes model predicted areas species future range suitable Australia. {border-style Fig. area px;} #ffffff;} ‘Sydney’ cox models indicate northern study data shift variables ‘Cairns’ ‘Darwin’ (Table Maxent regions samples used DNA arcmin fleas precipitation tropical Climate climatic region respectively, survival temperature .–.% IPCC Table conditions gene temperatures University cat expansion habitat haplogroup increase model. niche observed populations south southern veterinary ,.–,. IPSL-CMA-LR WorldClim, dogs file importance included mitochondrial mtDNA north-eastern projection px; quarter warmest {font-family (), ./s--- Concentration Pathways Representative Vet Veterinary analysed cats coast collected distinct eastern ecological font-size genetically haplogroups movement previously variable (., (RCP) AUC Australia, Australian Cairns Parasitol. biological clades cytochrome diversity double; ecology felis, genetic low n = ) oxidase presence restricted subunit (Fig. Additional Cambridge Fleas Press available b), bioclimatic border-color border-width coastline common contraction correlation development domestic east environmental evaluated expected extensive felis) flow genotyped highly loss matrix maximum mean new predict present range, range. rate resolution solid; specimens temperate total variation warm {font-style {font-weight Šlapeta (Additional Change Change. Clim Comparison Lawrence Maximum New Orange PCR RCP RCP., S). Science, Summary Sydney WorldClim ]), animals blue bold coastal courier; critical dog dry em; final function green haplotype high identification levels locations mm, modelling potential predictive pt;} region. result scenarios, scenarios. sequence southward suitability survival. thresholds wettest °C,


Remote Process Control Using a Reliable Communication Protocol
Observe & control remote processes reliably & in real time with smart, redundant network paths.
Watch their final pitchCreated by George Adams and team


Default behavior: When this FocusTrap mounts (and activates), the first element in its tab order receives focus.
When this FocusTrap mounts (and activates), focus jumps to a specific, manually specified element.
Also, the Escape key does not deactivate this trap: you have to click the button to deactivate.
Inspect this element and you'll see that it is not the default plain div,
but rather a section tag with an id, a class, inline styles, and an
arbitrary data-
attribute.
Also, this FocusTrap activates and deactivates while staying mounted.
ALSO, when you click outside this FocusTrap, the trap deactivates and your click carries through.
The trap contains an input with the autofocus attribute.


Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers.
Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts.
Works on Windows, macOS, GNU/Linux, iOS, watchOS, tvOS, Android, FreeBSD, and QNX. Install the Node.js bindings from npm, grab a Python package from PyPI, or use Frida through its Swift bindings, .NET bindings, Qt/Qml bindings, Go bindings, or C API. We also have a scalable footprint.
Frida is and will always be free software (free as in freedom). We want to empower the next generation of developer tools, and help other free software developers achieve interoperability through reverse engineering.
We are proud that NowSecure is using Frida to do fast, deep analysis of mobile apps at scale. Frida has a comprehensive test-suite and has gone through years of rigorous testing across a broad range of use-cases.
Quick-start Instructions
~ $ pip install frida-tools
~ $ frida-trace -i "recv*" Twitter
recvfrom: Auto-generated handler: …/recvfrom.js
Started tracing 21 functions.
1442 ms recvfrom()
# Live-edit recvfrom.js and watch the magic!
5374 ms recvfrom(socket=67, buffer=0x252a618, length=65536, flags=0, address=0xb0420bd8, address_len=16)


Class PDFComparer
Compares two different PDFs.
Inheritance
Inherited Members
Namespace: ComparePDF
Assembly: ComparePDF.dll
Syntax
public class PDFComparer
Constructors
| Improve this Doc View SourcePDFComparer(String, String)
Initializes a new instance of the PDFComparer class.
Declaration
public PDFComparer(string pdfFilePath1, string pdfFilePath2)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | pdfFilePath1 | Sets the file path to the first PDF. |
| System.String | pdfFilePath2 | Sets the file path to the second PDF. |
PDFComparer(String, String, ILogger)
Initializes a new instance of the PDFComparer class.
Declaration
public PDFComparer(string pdfFilePath1, string pdfFilePath2, ILogger logger)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | pdfFilePath1 | Sets the file path to the first PDF. |
| System.String | pdfFilePath2 | Sets the file path to the second PDF. |
| Microsoft.Extensions.Logging.ILogger | logger | The logger to use throughout the class. |
Properties
| Improve this Doc View SourceHash
Gets or sets the HashAlgorithmName to be used to compare extracted files. Default is set to MD5 hash.
Declaration
public HashAlgorithmName Hash { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Security.Cryptography.HashAlgorithmName |
Methods
| Improve this Doc View SourceComparePDFByHash()
Compares two PDFS by the set hash algorithm name.
Declaration
public bool ComparePDFByHash()
Returns
| Type | Description |
|---|---|
| System.Boolean | True if the hash are the same. |
ComparePDFEmbeddedFiles(String)
Compares the embedded files inside the PDF through extraction and hashing.
Declaration
public bool ComparePDFEmbeddedFiles(string resultZipFile)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | resultZipFile | Zip file that contains the extracted files. |
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
ComparePDFImages(String)
Compares the images inside the PDF through extraction and hashing.
Declaration
public bool ComparePDFImages(string resultZipFile)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | resultZipFile | The zip file representing the images extracted. |
Returns
| Type | Description |
|---|---|
| System.Boolean |
|
ComparePDFText(String, (String regex, String replacement), Boolean, Boolean)
We extract the text from the PDFs provided. We compare the text based on the arguements provided. We ignore whitespaces by default.
Declaration
public bool ComparePDFText(string resultFilePath, (string regex, string replacement) regexReplacement = default((string regex, string replacement)), bool caseInsensitive = false, bool ignoreWhitespace = true)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | resultFilePath | Name of the file for PDF text comparison. |
| System.ValueTuple<System.String, System.String> | regexReplacement | (REGEX, REPLACEMENT) -> A 2-Tuple string for the regex and replacement. |
| System.Boolean | caseInsensitive | Toggle when comparing extracted text. Default to be false. |
| System.Boolean | ignoreWhitespace | Toggle when comparing extracted text. Default to be true. |
Returns
| Type | Description |
|---|---|
| System.Boolean | if the PDF texts are the same.
|


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Welcome to DifferentialPrivacy.org!
Hello, welcome to this new website! Our goal is to serve as a hub for the differential privacy research community and to promote the work in this area. Please read on to learn more!
We anticipate posting a variety of content, from announcements to mini-surveys of topics in the differential privacy literature. These are archived on our Posts page. We have also assembled a collection of Resources, which we hope will help newcomers learn and enter the field.
We have created a mailing list for the differential privacy community. The goal is to create a channel which could reach the entire differential privacy community at once. We envision this list being used only to send out announcements of the most broad interest, and as such, it is anticipated to be very low-traffic (≈ 1 post per month). Click here to join.
To follow the latest updates on DifferentialPrivacy.org, you can:
- Follow us on Twitter
- Subscribe to our RSS feed
- Sign up for email updates (note: distinct from the Google Groups mailing list)
- Set this website to be your homepage ;)
This is a community-driven effort and we welcome participation. If you are interested in contributing, please reach out to us (by email or in the comments below). Further details are on About and Github.
To get things started, here is a definition:
Definition 1. [DMNS06, DKMMN06]
A randomized algorithm \(M : \mathcal{X}^n \to \mathcal{Y}\) is \((\varepsilon,\delta)\)-differentially private if, for all \(x,x’ \in \mathcal{X}^n\) differing on a single entry and all measurable \(E \subseteq \mathcal{Y}\), we have \[\mathbb{P}[M(x) \in E] \le e^\varepsilon \cdot \mathbb{P}[M(x’) \in E] + \delta.\]
[cite this]


Fluid
This is a live implementation of the Fluid Bot. More information can be found
here
.
Blog
inkl.in
Other Projects
Fluid


RPi Interface
By
Aditya NG
Video Feed
stream.mjpg
Inputs
Steering
0 degrees
Acceleration
0 %
-
Mode :
1
Slow Down
Speed up
Controller
Select Gamepad
Recording
Start Recording
Download Training Data


In order to provide an extra layer of data security & strict compliance rules that are adherent to inspection reports and data entries we implemented LTO Network into our Capptions application.
With more than 20.000 users of the app we need to handle a lot of data and rely on a scalable infrastructure and instant verification. LTO Network’s proof engine brings this and was implemented with just a few lines of code.
"We believe that a user should be educated on what blockchain is and how it adds value in day-to-day operations. By integrating LTO Network’s anchoring service across the Capptions platform, we are able to give blockchain a mobile face."
SignRequest values the authenticity of your signed documents. In case there ever is a dispute about when exactly the document has been signed you need to be able to verify the date and time of signing.
For this purpose SignRequest already seals the signed document with a digital certificate and sends the hash codes of the documents by email.
As an extra option SignRequest can now add the hash code to the LTO Network Blockchain. This allows signers to validate if the hash code is valid and allows for an additional timestamp.
"We experimented with document time stamping through multiple blockchains. However if we wanted to include the blockchain timestamp proof in the log of the signed document we required instant verification. With LTO Network we can add instant immutability to the documents being signed on our platform."
The Ministry of Infrastructure and Water Management is committed to improving quality of life, access and mobility in a clean, safe and sustainable environment.
The Ministry strives to create an efficient network of roads, railways, waterways and airways, effective water management to protect against flooding, and improved air and water quality.
Combining technologies on a waste transport between EU-member states.
"LTO Network enabled us to digitize the international waste transportations. Earlier, a paper-based transaction took place at each physical stop of the truck. Now, real-time transparency is ensured for all stakeholders, while providing the authorities with the information to better predict and fine illegitimate transactions. Bringing efficiency and reduction in process time."
When dealing with evidence you want to be absolutely certain who is responsible for it and that it is 100% immutable, as this can change someone's life!
LTO Network demonstrated the applicability of this type of proof with their winning solution at the 2017 Blockathon, issued by the Dutch Ministry of Justice.
"Using LTO Network, all stakeholders in the decentralized impoundment process have real-time insight in the location of a vehicle or related object, by scanning the smart QR-codes placed on the impounded objects with every transport and storage."
Involve third parties and share data automatically by creating legal contracts as decentralized workflows through blockchain.
This way complex inter-organizational business processes will belong to the past. M7 Real Estate and CMS law are standardizing the European decentralized commercial lease agreement of the future in collaboration with LTO Network.
"Live Contracts simplify and automate legal processes for all parties involved. In addition to shortening these processes, blockchain technology enables us to better protect documents and every alteration that is made to these documents. We are only at the start of the blockchain era and see numerous opportunities that technology can offer CMS and the legal sector."


Before Change
// Read a bunch of entries from the dataset and compare the data to reference
for row in reader:
actual = dict(row._asdict())
expected = next(d for d in synthetic_dataset.data if d["id"] == actual["id"])
np.testing.assert_equal(expected["id"], actual["id"])
@pytest.mark.parametrize("reader_factory", MINIMAL_READER_FLAVOR_FACTORIES)
After Change
Test quering a single column with a predicate on the same column
with reader_factory(synthetic_dataset.url, schema_fields=[TestSchema.id], predicate=EqualPredicate({"id": 1})) \
as reader:
all_rows = list(reader)
assert 1 == len(all_rows)
assert 1 == all_rows[0].id


--- layout: post title: Stream a document in the .Net SDK categories: [] tags: dotnet-sdk status: publish type: post published: true meta: {} ---
The standard methods of getting a document from in the SDK (e.g. Record.GetDocument()) fetch the entire document from the document store before giving you access to the document. DownloadNotifier allows you to:
I just updated the SDK docs to include some information on using it, also, here is a video if you want to watch me use it.


I'm Freddie. I'm Sixteen and I come from Oxford
I love films, music and photography.
Most recently I went to the Italien island of Sicily where my friends and I recorded the best bits of our stay.
I've always wanted to make films and this is how I started
Please have a look and I hope you enjoy.
My Videos Buy my Photos on Foap


Scene 'in the meadows' with background 'backgrounds/fields_1.png' with resolution 1280x720 Placeholder deerQuest1 = 'find apple for the deers' Placeholder apple = 'a red apple' Object 'house' with sprite 'sprites/shed.png' and size 0.6 at (750, 525) Interaction with 'house' { if player has 'key to shed' { go to scene 'scenes/inside_shed' } else { display 'the door is locked, it might require a key to open' } } Actor 'big deer' with sprite 'sprites/deer.svg' and size 1.2 at (858, 570) Interaction with 'big deer' { if objective deerQuest1 completed { 'big deer' says 'thank you so much for the apple!' -> 'big deer' says 'you can have this key' -> 'big deer' says 'i found it near that tree over there' & player receives 'key to shed' -> 'small deer' moves to (-80, 606) over 7s & 'big deer' moves to (-80, 568) over 8s -> 'small deer' disappears & 'big deer' disappears } & if not objective deerQuest1 completed { 'big deer' gets 'hungry' & 'big deer' says "i'm hungry" & 'big deer' moves to (805, 568) over 1s -> 'big deer' moves to (878, 568) over 1.5s -> 'big deer' moves to (872, 568) over 0.3s } } Actor 'small deer' with sprite 'sprites/deer.svg' at (917, 596) Interaction with 'small deer' { if objective deerQuest1 started and player has apple { player gives apple to 'small deer' -> player completes objective deerQuest1 } -> if not objective deerQuest1 started and not objective deerQuest1 completed { 'small deer' moves to (872, 606) over 1s & 'big deer' moves to (805, 568) over 2s -> 'small deer' gets 'hungry' & 'small deer' says "we're are hungry!" -> 'small deer' says 'find us an apple' -> player is given objective deerQuest1 } & if objective deerQuest1 completed { 'small deer' says 'thank you so much!' -> 'small deer' says 'i think big deer has found something for you' } } Object apple with sprite 'sprites/apple.svg' and size 0.2 at (530, 563) Interaction with apple { display 'you yank the apple of its branch' -> apple disappears & player receives apple } Object 'grass' with sprite 'sprites/grass.svg' and size 0.4 at (662, 615) Interaction with 'grass' { 'grass' disappears & player receives 'some grass' }


EntityRadius entity,radius#
Parameters:
| entity - entity handle radius# - radius of entity's collision sphere |
Description:
| Sets the radius of an entity's collision sphere. An entity radius should be set for all entities involved in spherical collisions, which is all source entities (as collisions are always sphere-to-something), and whatever destination entities are involved in sphere-to-sphere collisions (collision method No.1). |
| ; EntityRadius Example ; -------------------- Graphics3D 640,480 SetBuffer BackBuffer() camera=CreateCamera() light=CreateLight() sphere=CreateSphere( 32 ) PositionEntity sphere,-2,0,5 cone=CreateCone( 32 ) EntityType cone,type_cone PositionEntity cone,2,0,5 ; Set collision type values type_sphere=1 type_cone=2 ; Set sphere radius value sphere_radius#=1 ; Set sphere and cone entity types EntityType sphere,type_sphere EntityType cone,type_cone ; Enable collisions between type_sphere and type_cone, with sphere->polygon method and slide response Collisions type_sphere,type_cone,2,2 While Not KeyDown( 1 ) x#=0 y#=0 z#=0 If KeyDown( 203 )=True Then x#=-0.1 If KeyDown( 205 )=True Then x#=0.1 If KeyDown( 208 )=True Then y#=-0.1 If KeyDown( 200 )=True Then y#=0.1 If KeyDown( 44 )=True Then z#=-0.1 If KeyDown( 30 )=True Then z#=0.1 MoveEntity sphere,x#,y#,z# ; If square brackets keys pressed then change sphere radius value If KeyDown( 26 )=True Then sphere_radius#=sphere_radius#-0.1 If KeyDown( 27 )=True Then sphere_radius#=sphere_radius#+0.1 ; Set entity radius of sphere EntityRadius sphere,sphere_radius# ; Perform collision checking UpdateWorld RenderWorld Text 0,0,"Use cursor/A/Z keys to move sphere" Text 0,20,"Press [ or ] to change EntityRadius value" Text 0,40,"EntityRadius sphere,"+sphere_radius Flip Wend End |


Mixin template to enable mocking.
Many methods implement compile-time parameters (file, line) that are set at the call site. It is preferred that these parameters are ignored when using these methods.
MIT. See LICENSE for full details.
A template mixin used to inject code into a class to provide mockable behaviour. Code is nested within the host class to provide access to all host types. Only injects code in debug mode.
import dunit.mockable; class T { mixin Mockable!(T); }
Injected by the Mockable mixin template this method allows creation of mock object instances of the mockable class.
| args | The constructor arguments of the host class. |
import dunit.mockable; class T { mixin Mockable!(T); } unittest { import dunit.toolkit; auto mock = T.getMock(); assertTrue(cast(T)mock); // Mock extends T. }
auto mock = T!(int).getMock(); // Get a mock of T!(int).
Injected by the Mockable mixin template this class contains all mocking behaviour.
This Mock class extends any class it's injected into and provides methods to interact with the mocked instance. An instance of this class can dynamically replace any of its methods at runtime using the 'mockMethod' method. All mocked methods can optionally have their call counts asserted to be within set limits.
Replace a method in the mock object by adding a mock method to be called in its place. By default parent methods are called in lieu of any replacements unless parent methods are disabled.
| name | The name of the method to replace. (Only the name should be used, no parameters, etc.) |
| delegate_ | The delegate to be used instead of calling the original method. The delegate must have the exact signature of the method being replaced. |
| minimumCount | The minimum amount of times this method must be called when asserting calls. |
| maximumCount | The maximum amount of times this method must be called when asserting calls. |
| file | The file name where the error occurred. The value is added automatically at the call site. |
| line | The line where the error occurred. The value is added automatically at the call site. |
DUnitAssertError if the passed delegate does not match the signature of any overload of the method named.
disableParentMethods()
import dunit.mockable; class T { int getValue() { return 1; } mixin Mockable!(T); } unittest { import dunit.toolkit; auto mock = T.getMock(); // Replace the 'getValue' method. mock.mockMethod("getValue", delegate(){ return 2; }); mock.getValue().assertEqual(2); }
Disable parent methods being called if mock replacements are not implemented. If parent methods have been disabled a helpful assert error will be raised on any attempt to call methods that haven't been replaced. This is helpful if necessary to disable all behaviour of the mocked class.
| string file | The file name where the error occurred. The value is added automatically at the call site. |
| ulong line | The line where the error occurred. The value is added automatically at the call site. |
mockMethod()
import dunit.mockable; class T { mixin Mockable!(T); } unittest { auto mock = T.getMock(); mock.disableParentMethods(); // All mock object methods that are used in the test // must now be replaced to avoid an error being thrown. }
Assert all replaced methods are called the defined amount of times.
| string message | The error message to display. |
| string file | The file name where the error occurred. The value is added automatically at the call site. |
| ulong line | The line where the error occurred. The value is added automatically at the call site. |
DUnitAssertError if any method was called outside of preset boundries.
import dunit.mockable; class T { int getValue() { return 1; } mixin Mockable!(T); } unittest { import dunit.toolkit; auto mock = T.getMock(); // Replace method while defining a minimum call limit. mock.mockMethod("getValue", delegate(){ return 2; }, 1); // Increase the call count of 'getValue' by one. mock.getValue().assertEqual(2); // Assert methods calls are within defined limits. mock.assertMethodCalls(); }


Leveled Reader Tool
Level
1
of
2
Word counts
This Page
Max
Actual
per page
-
per sentence
-
This Book
Max
Actual
total
-
per page
-
unique
-
Set up Levels
For this Level
Keep in mind
Vocabulary
Formatting
Predictability
Illustration Support
Choice of Topic


Celebrate With Trees 🌱🌿🌳🌲
About
Plant More Trees
About
Plant More Trees
Celebrate With Trees is a project to help people plant trees for birthdays, weddings, anniversaries, and other celebrations. 🌱🌿
We believe in planting indigenous trees, locally – and have assembled a collection of resources to help you do this! 🌿🌳
Read on for resources about tree-planting, how the site began, and more. 🌳🌲
Married with Trees
70 Trees for 70 Years
Resources for British Columbia
How to Plant and Care for Trees
Planning Your Celebration With Trees


Patterns are everywhere, from the fractal symmetry of romanesque cauliflowers, to the rhythmic cadences in everyday speech. Superior Pattern recognition is the fundamental basis of the human brain including intelligence, imagination, language, and the belief in imaginary entities such as ghosts and gods. If you’ve ever watched a toddler learn words and concepts, you can almost see the brain making connections between synapses and firing neurons as the child begins to connect the dots and recognise patterns for differentiating between objects. The more you think about it, the more you can see patterns all around you. Our brains process ‘inputs’ from our environment, categorize them (that’s a snake), and in a matter of nanoseconds, generate an ‘output’ (watch out). Take the image below for example.
In a matter of milliseconds, you effortlessly recognised this number as 3152, right? You just knew that the first digit was a 3; there was no conscious thinking involved. Your brain didn’t go, “Ah, two half ellipses cut at the minor axis connected together with a loop in the middle, so that’s a 3.” Designing rules to recognise a handwritten digit is unnecessarily complicated, traditional programs involve logic trees. If this happens, then that happens. All of the potential outcomes for the system are preprogrammed, which is why, historically, it’s been quite difficult for computer programs to recognise them. Neural networks however, are built without such specific logic. They loosely mimic brains: taking inputs, processing them, and generating an output. Like us, they “learn” to recognise patterns. Normally this is done by training them on labelled datasets: supervised learning, or conversely training them on unlabelled data and leaving them to find groupings in the data or hidden patterns: unsupervised learning. Before we get into the details of “learning”, we’ll take a look at the most basic artificial neurons: the perceptron, and how it processes inputs and produces an output.
Today the perceptron is hardly ever used in practice however, most commonly used models of artificial neurons follow the same general principles set by the perceptron.
So what is a Perceptron?
They take a number of binary inputs x1,x2,x3,...,xn, apply a “weight” to each those values, sum the result, pass that through an activation function and produces a single binary output. In order to better illustrate how it works, let’s go through an example. Say you have a dog. There are two factors that contribute towards the decision to walk your dog: Has it been walked in the past 24 hours, and is the weather bad. The weather isn’t that big of a deal, but not walking the dog for more than 24 hours is shameful . Our inputs have to be binary, so we’ll convert them into questions. Has the dog been walked in the past 24 hours? 1 for yes, and 0 for no. Is the weather bad? 1 for yes, and 0 for no. It’s important to remember that the neural network cannot have this logic pre-programmed, it has to learn it by itself. How will it know the importance of each of its inputs? The answer is the weights. Remember when we said the weather isn’t that big of a deal if the dog hasn’t been walked in the past 24h hours? The weights are simply a numerical representation of this preference. A larger weight means that the neural network considers the input associated with that weight of greater importance than other inputs. For the purpose of our example, let’s set suitable weights; 1 for the weather and 6 for having walked the dog. And for our inputs let’s say the weather is bad (1) and the dog has not been walked in the past 24 hours (1). How is the output calculated? Let’s take a look.
So what’s happening here? We start by multiplying the inputs by their respective weights, and sum together the results. This is called linear combination. In our case, the linear combination produced a value of 7. This is then passed as a parameter to the activation function, which in this case is a Heaviside step function with a threshold value of 5. What does this mean? The Heaviside step function will simply produce an output of 1 if a value greater than or equal to its threshold is supplied to it, otherwise it will output a value of 0. If the output is 1 you should walk the dog, if it’s 0 you should not. In this example 7 > 5, so the output will be 1 and you should walk the dog.
You have just seen how weights impact the final value of the output. In this example, I purposely set the weights to values that would make the example work. In reality, we set the weights to random values and the network adjusts those weights based on the errors in the output produced by the previous set of weights. This is called training the network.
So, how useful is this really? The answer is not very. A single perceptron is not capable of handling more complex and meaningful tasks such as handwritten number recognition. However, if we stack many of these perceptrons in layers to create a network of them, employ an activation function, such as a sigmoid function, and make use of something called backpropagation, we can then handle such a problem. That’s exactly what we’ll be doing in the next section.


Package jakarta.nosql.column
This package contains all objects to use a Column Family API. This API gonna focus in domain, in other words,
ubiquitous language. A column family is a NoSQL object that contains columns of related data. It is a tuple (pair)
that consists of a key-value pair, where the key is mapped to a value that is a set of columns.
In analogy with relational databases, a column family is as a "table", each key-value pair being a "row".
Each column is a tuple (triplet) consisting of a column name, a value, and a timestamp. In a relational
database table, this data would be grouped together within a table with other non-related data.
Ref: https://en.wikipedia.org/wiki/Column_family
-
Interface Summary Interface Description Column A Column Family entity unit, it is a tuple (pair) that consists of a key-value pair, where the key is mapped to a value.Column.ColumnProvider A provider ofColumn
where it will create from two parameters: The first one is the name of column The second one is the information of columnColumnCondition An unit condition to run a column family selectColumnCondition.ColumnConditionProvider A Supplier ofColumnCondition
where it will create from two parameters: The first one isColumn
The second one is the ConditionColumnConfiguration The Jakarta NoSQL communication configuration to create aColumnFamilyManagerFactory
ColumnDeleteQuery A unit that has the columnFamily and condition to delete from conditions.ColumnDeleteQuery.ColumnDelete The initial element in the Column delete queryColumnDeleteQuery.ColumnDeleteFrom The Column Delete QueryColumnDeleteQuery.ColumnDeleteNameCondition The base to delete name conditionColumnDeleteQuery.ColumnDeleteNotCondition The column not conditionColumnDeleteQuery.ColumnDeleteProvider A supplier class ofColumnDeleteQuery.ColumnDelete
ColumnDeleteQuery.ColumnDeleteQueryBuild The last step to the build ofColumnDeleteQuery
.ColumnDeleteQuery.ColumnDeleteWhere The Column Where whose define the condition in the delete query.ColumnDeleteQueryParams ColumnEntity A column family is a NoSQL object that contains columns of related data.ColumnEntity.ColumnEntityProvider A provider ofColumnEntity
where it will return from the column entity name.ColumnFamilyManager Interface used to interact with the persistence context toColumnEntity
The ColumnFamilyManager API is used to create and remove persistentColumnEntity
instances, to select entities by their primary key, and to select over entities.ColumnFamilyManagerFactory ColumnFamilyManager
factory.ColumnObserverParser An observer to a parser; this observer allows checking both the name of an entity and the fields.ColumnPreparedStatement An object that represents a precompiled Query statement.ColumnQuery Class that contains information to do a select toColumnEntity
ColumnQuery.ColumnFrom The ColumnFrom QueryColumnQuery.ColumnLimit The Column Order whose define the the maximum number of results to retrieve.ColumnQuery.ColumnNameCondition The base to name conditionColumnQuery.ColumnNameOrder The Column name order a queryColumnQuery.ColumnNotCondition The column not conditionColumnQuery.ColumnOrder The definition to eitherSortType
ColumnQuery.ColumnQueryBuild The last step to the build ofColumnQuery
.ColumnQuery.ColumnSelect The initial element in the Column queryColumnQuery.ColumnSelectProvider A provider class ofColumnQuery.ColumnSelect
ColumnQuery.ColumnSkip The Column Order whose define the position of the first result to retrieve.ColumnQuery.ColumnWhere The Column Where whose define the condition in the query.ColumnQueryParams ColumnQueryParser A query parser to column database type, this class will convert a String to an operation inColumnFamilyManager
.DeleteQueryConverter A converter that convertsDeleteQuery
toColumnDeleteQueryParams
SelectQueryConverter A converter that convertsSelectQuery
toColumnQueryParams
-
Class Summary Class Description Columns Utilitarian class toColumn


Books are one of the best ways to learn and experience. Reading different kinds of books helped me grow and spring. I have taken this seriously since 2019. Here is the list of books that I have read and planned to read in the future; you might like to dive into that. To share and get recommendations, I'm keeping a list of my books.
Please feel free to suggest your tinge over an email to me.
My book list 📕 — 2019 - 2022 (I've read)*
Reading now 📖
Paused ⏸
To go 📚**
* The list is in the order I've read.
** I like this way of list order (lazy enough to sort in alphabetical order).


Stay up to date with all our events by signing up to our newsletter
Drop-ins and day retreats
All drop-ins and day retreats are free of charge and do not require any booking. There are different arrangements for different drop ins. Please read the detail for the site where you wish to attend.
Master classes
Events to support the development of mindfulness teachers and people interested in mindfulness. These include events lasting from one day up to a week and are typically led by nationally and internationally renowned speakers, as well as by local mindfulness teachers with particular areas of expertise.
Compassion-oriented events
These events support the development of people interested in compassion-oriented approaches, such as Mindful Self-Compassion (MSC) and Mindfulness-based Compassionate Living (MBCL).
Conferences
Details of the Mindfulness Centre Annual Conferences from 2017 to the present.
Regional mindfulness teachers meetings
A gathering for mindfulness teachers and practitioners in Sussex that happens every other month
Regional mindfulness teachers meetings
See a full list of mindfulness events here (link opens in new window)


George of the Jungle (1997)
A movie review by Michael J. Legeros Copyright 1997 by Michael J. Legeros
(Walt Disney) Directed by Sam Weisman Written by Dana Olsen and Audrey Wells Cast Brendan Fraser, Leslie Mann, Thomas Haden Church, Greg Cruttwell, Abraham Benrubi, voice of John Cleese, voice of Keith Scott MPAA Rating "PG" Running Time 96 minutes
==
Watch out for that theme! George, George, George of the Jungle will play in your head for a *week* after watching this agreeable adaptation of Jay Ward's classic 'toon. Brendan Fraiser (ENCINO MAN, AIRHEADS) is a dead-on delight as the butt-flapped tree knocker. I can't recall a comic performance this... rich since Eddie Murphy's nutty professor. He's backed by a surprisingly spry supporting cast: Anne Heche lookalike Leslie Mann as that funny-looking fella Ursula (envisioned here as an heiress on safari), Thomas Haden Church as her finicky fiancee, Keith Scott as the wisecracking narrator ("Meanwhile, at a very big and expensive waterfall set"), and John Cleese as the voice of George's tree house companion, a hyper-intelligent ape named Ape. Oh, and Richard Roundtree also appears as an African trail guide, though I believe even *he* has more screen time than the woefully under- utilized Cleese. (Ape *does* get his due in the film's final scene, however, which may be the wackiest bit in the entire movie.) Director Sam Weisman (BYE BYE, LOVE, D2: THE MIGHTY DUCKS) has the tone down pat, but his pacing leaves a lot to be desired. That GEORGE OF THE JUNGLE isn't frantic through and through is probably a good thing for the smaller kids in the audience. And their slower-witted parents.
Grade: B-
--
Mike Legeros - Movie Hell http://www.nonvirtual.com/hell/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


This is the new home of steven.atkinson.net Our email address<EMAIL_ADDRESS>Our website addressor steven.atkinson.net www.steven.atkinson.net We hope to move in soon shares the atkinson.net domain.
This is the new home of
steven.atkinson.net


--- layout: post title: |- Tipping Point: 500 ppm CURRENTLY: 394 parts per million (ppm) date: '2008-01-24T23:44:19+00:00' tags: [] tumblr_url: http://backlog.robbevan.com/post/24590298/tipping-point-500-ppm-currently-394-parts-per ---
Tipping Point: 500 ppm—Climate Clock
CURRENTLY: 394 parts per million (ppm)


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.apache.xml.dtm.Axis
public final class Axis
Specifies values related to XPath Axes.
The ancestor, descendant, following, preceding and self axes partition a document (ignoring attribute and namespace nodes): they do not overlap and together they contain all the nodes in the document.
| Field Summary | |
|---|---|
static int |
ALL
A non-xpath axis, returns all nodes in the tree from and including the root. |
static int |
ALLFROMNODE
A non-xpath axis, traversing the subtree including the subtree root, descendants, attributes, and namespace node decls. |
static int |
ANCESTOR
The ancestor axis contains the ancestors of the context node; the ancestors of the context node consist of the parent of context node and the parent's parent and so on; thus, the ancestor axis will always include the root node, unless the context node is the root node. |
static int |
ANCESTORORSELF
the ancestor-or-self axis contains the context node and the ancestors of the context node; thus, the ancestor axis will always include the root node. |
static int |
ATTRIBUTE
the attribute axis contains the attributes of the context node; the axis will be empty unless the context node is an element. |
static int |
CHILD
The child axis contains the children of the context node. |
static int |
DESCENDANT
The descendant axis contains the descendants of the context node; a descendant is a child or a child of a child and so on; thus the descendant axis never contains attribute or namespace nodes. |
static int |
DESCENDANTORSELF
The descendant-or-self axis contains the context node and the descendants of the context node. |
static int |
DESCENDANTSFROMROOT
A non-xpath axis, returns all nodes that aren't namespaces or attributes, from and including the root. |
static int |
DESCENDANTSORSELFFROMROOT
A non-xpath axis, returns all nodes that aren't namespaces or attributes, from and including the root. |
static int |
FILTEREDLIST
A non-xpath axis, for functions. |
static int |
FOLLOWING
the following axis contains all nodes in the same document as the context node that are after the context node in document order, excluding any descendants and excluding attribute nodes and namespace nodes. |
static int |
FOLLOWINGSIBLING
The following-sibling axis contains all the following siblings of the context node; if the context node is an attribute node or namespace node, the following-sibling axis is empty. |
private static boolean[] |
isReverse
A table to identify whether an axis is a reverse axis; |
private static java.lang.String[] |
names
The names of the axes for diagnostic purposes. |
static int |
NAMESPACE
The namespace axis contains the namespace nodes of the context node; the axis will be empty unless the context node is an element. |
static int |
NAMESPACEDECLS
The namespace axis contains the namespace nodes of the context node; the axis will be empty unless the context node is an element. |
static int |
PARENT
The parent axis contains the parent of the context node, if there is one. |
static int |
PRECEDING
The preceding axis contains all nodes in the same document as the context node that are before the context node in document order, excluding any ancestors and excluding attribute nodes and namespace nodes |
static int |
PRECEDINGANDANCESTOR
A non-xpath axis, traversing the the preceding and the ancestor nodes, needed for inverseing select patterns to match patterns. |
static int |
PRECEDINGSIBLING
The preceding-sibling axis contains all the preceding siblings of the context node; if the context node is an attribute node or namespace node, the preceding-sibling axis is empty. |
static int |
ROOT
A non-xpath axis, returns root only. |
static int |
SELF
The self axis contains just the context node itself. |
| Constructor Summary | |
|---|---|
Axis()
|
| Method Summary | |
|---|---|
static java.lang.String |
getNames(int index)
|
static int |
getNamesLength()
|
static boolean |
isReverse(int axis)
|
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int ANCESTOR
public static final int ANCESTORORSELF
public static final int ATTRIBUTE
public static final int CHILD
public static final int DESCENDANT
public static final int DESCENDANTORSELF
public static final int FOLLOWING
public static final int FOLLOWINGSIBLING
public static final int NAMESPACEDECLS
public static final int NAMESPACE
public static final int PARENT
public static final int PRECEDING
public static final int PRECEDINGSIBLING
public static final int SELF
public static final int ALLFROMNODE
public static final int PRECEDINGANDANCESTOR
public static final int ALL
public static final int DESCENDANTSFROMROOT
public static final int DESCENDANTSORSELFFROMROOT
public static final int ROOT
public static final int FILTEREDLIST
private static final boolean[] isReverse
private static final java.lang.String[] names
| Constructor Detail |
|---|
public Axis()
| Method Detail |
|---|
public static boolean isReverse(int axis)
public static java.lang.String getNames(int index)
public static int getNamesLength()
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


The people who cast the votes decide nothing. The people who count the votes decide everything.Joseph Stalin


Chapter 2: Accentuation & vowels
Sounds & Pronunciation
>
>
>
>
Regras de acentuação
All words have an accentuated syllable, which is always the second-to-last syllable, except if:
- There is an accentuation sign like ´, `, ^ or ~ (and then, the syllable where it's located is the one accentuated).
Examples: café, chá, lâmpada, armazém, coração. - The word ends in -l, -r, -z, -u or -i and has no accentuation signs (the accentuation is then on the last syllable).
Examples: farol, cantar, museu, pesquisarei. - It's a monosyllabic word.
Examples: meu, pai, quem.
Listen and repeat
How to pronounce the vogais
[a]
[ɐ̃]
[a]
[ɐ̃]
[a]
[ɐ̃]
[a]
[ɐ̃]
[a]
[ɐ̃]
Exercícios
Which words better describe you? [ONLY 'INOVADOR' IS WORKING]
For each one, select the sounds that correspond to the emphasized letters.
Designed and developed by João Monteiro.


Off-Topic
HELP hexus
(6)
Get-Logos-Here!
(1)
Hexus Status!
(1)
[REQ] FE script
(2)
OMG Custom is
(14)
Anybody wanna,
(6)
Lol jews
(1)
UPDATE....?
(9)
Looking for a mod
(13)


Rocks:
Gather Rocks
Rock Golems:
Build One
Build All
Rock Wizards:
Build One
Build All
Save Game
Load Game
Reset Game
A game by caranha


Mix v1.3.4 Mix.Tasks.Xref
Performs cross reference checks between modules.
Xref modes
The xref
task expects a mode as first argument:
mix xref MODE
All available modes are discussed below.
warnings
Prints warnings for violated cross reference checks:
mix xref warnings
This is the mode used by Mix during compilation.
unreachable
Prints all unreachable “file:line: module.function/arity” entries:
mix xref unreachable
The “file:line” represents the file and line a call to an unknown “module.function/arity” is made.
callers CALLEE
Prints all callers of the given CALLEE
, which can be one of: Module
,
Module.function
, or Module.function/arity
. Examples:
mix xref callers MyMod
mix xref callers MyMod.fun
mix xref callers MyMod.fun/3
graph
Prints a file dependency graph where an edge from A
to B
indicates
that A
depends on B
.
mix xref graph --format dot
The following options are accepted:
--exclude
- paths to exclude--source
- display all files that the given source file references (directly or indirectly)--sink
- display all files that reference the given file (directly or indirectly)--format
- can be set to one of:pretty
- use Unicode codepoints for formatting the graph. This is the default except on Windowsplain
- do not use Unicode codepoints for formatting the graph. This is the default on Windowsdot
- produces a DOT graph description inxref_graph.dot
in the current directory. Warning: this will override any previously generated file
The --source
and --sink
options are particularly useful when trying to understand how
the modules in a particular file interact with the whole system.
Shared options
Those options are shared across all modes:
--no-compile
- do not compile even if files require compilation--no-deps-check
- do not check dependencies--no-archives-check
- do not check archives--no-elixir-version-check
- do not check the Elixir version from mix.exs
Configuration
All configuration for Xref should be placed under the key :xref
.
:exclude
- a list of modules and{module, function, arity}
tuples to ignore when checking cross references. For example:[MissingModule, {MissingModule2, :missing_func, 2}]
Summary
Functions
Runs this task.


A 2D statistical analysis is performed, both numerical and graphical, of a set of vectors. Since a vector has two components (module and azimuth) vector analysis is performed in three stages: modules are analyzed by means of linear statistics, azimuths are analyzed by circular statistics, and the joint analysis of modules and azimuths is done using density maps that allow detecting another distribution properties (i.e. anisotropy) and outliers. Tests and circular statistic parameters have associated a full range of graphing: histograms, maps of distributions, point maps, vector maps, density maps, distribution modules and azimuths.
| Version: | 1.8 |
| Depends: | R (≥ 2.10.1), MASS |
| Published: | 2016-04-26 |
| Author: | Ruiz-Cuetos J.C., Felicisimo A.M., Cuartero A., Polo M.E., Rodriguez P.G., Haut J.M. |
| Maintainer: | Pablo Garcia Rodriguez <pablogr at unex.es> |
| License: | GPL-3 |
| URL: | http://gim.unex.es/VecStatGraphs2D/ |
| NeedsCompilation: | no |
| CRAN checks: | VecStatGraphs2D results |
| Reference manual: | VecStatGraphs2D.pdf |
| Package source: | VecStatGraphs2D_1.8.tar.gz |
| Windows binaries: | r-devel: VecStatGraphs2D_1.8.zip, r-release: VecStatGraphs2D_1.8.zip, r-oldrel: VecStatGraphs2D_1.8.zip |
| OS X binaries: | r-release: VecStatGraphs2D_1.8.tgz, r-oldrel: VecStatGraphs2D_1.8.tgz |
| Old sources: | VecStatGraphs2D archive |
Please use the canonical form https://CRAN.R-project.org/package=VecStatGraphs2D to link to this page.


Routines for solving convex optimization problems with cone constraints by means of interior-point methods. The implemented algorithms are partially ported from CVXOPT, a Python module for convex optimization (see <http://cvxopt.org> for more information).
| Version: | 0.2-4 |
| Depends: | R (≥ 3.0.1), methods |
| Imports: | Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | RUnit, numDeriv |
| Published: | 2015-02-10 |
| Author: | Bernhard Pfaff [aut, cre], Lieven Vandenberghe [cph] (copyright holder of cvxopt), Martin Andersen [cph] (copyright holder of cvxopt), Joachim Dahl [cph] (copyright holder of cvxopt) |
| Maintainer: | Bernhard Pfaff <bernhard at pfaffikus.de> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| In views: | Optimization |
| CRAN checks: | cccp results |
| Reference manual: | cccp.pdf |
| Package source: | cccp_0.2-4.tar.gz |
| Windows binaries: | r-devel: cccp_0.2-4.zip, r-release: cccp_0.2-4.zip, r-oldrel: cccp_0.2-4.zip |
| OS X binaries: | r-release: cccp_0.2-4.tgz, r-oldrel: cccp_0.2-4.tgz |
| Reverse depends: | FRAPO |
| Reverse imports: | optiSolve |
Please use the canonical form https://CRAN.R-project.org/package=cccp to link to this page.


The population is required. Must be a series of numbers. The data time to elapse is required. Must be a series of numbers. The reported cases is required. Must be a series of numbers. The data total hospital beds is required. Must be a series of numbers. days weeks months The data data period type is required. Submit Data


[gecode-users] propagators on auxiliary variables
Andrea Rendl
andrea.rendl at gmail.com
Tue Mar 17 15:54:14 CET 2009
Hi Mikael,
I tried to simplify my problem and then discovered that the reason for
the strange behaviour was that i used the abs-propagator in a wrong
way (B = abs(this,A) instead of abs(this,A,B) ). So it's working now
:)
Anyway, thanks for your answers.
Andrea
2009/3/17 Mikael Zayenz Lagerkvist <zayenz at kth.se>:
> Hi Andrea,
>
> I don't fully understand what you problem is. Could you perhaps send
> some small example that exhibits the strange behaviour that you are
> seeing?
>
> Cheers,
> Mikael
>
> On Tue, Mar 17, 2009 at 2:00 PM, Andrea Rendl <andrea.rendl at gmail.com> wrote:
>> Hi all,
>>
>> I hope someone can help me with a problem with
>> propagators on auxiliary variables - I couldn't find any
>> related thread in the mailing list.
>>
>> In my problem class, I have one main decision variable
>> array and a set of auxiliary variable arrays (IntVarArrays
>> and BoolVarArrays). I post propagators on the main array,
>> on both main array and aux arrays, and on the aux arrays.
>> If I branch over the main array and the aux arrays, the
>> corresponding solutions only comply with the propagators
>> posted on the main array. However, if I branch over the
>> aux-arrays only, then the solutions comply to all posted
>> propagators. Is this normal?
>>
>> I thought by "linking" the aux-arrays and the main-array
>> with propagators the propagators on aux-arrays will have
>> an effect on the main array.
>>
>> I would be happy about any pointers from you :)
>>
>> Thanks,
>> Andrea
>>
>> _______________________________________________
>> Gecode users mailing list
>> users at gecode.org
>> https://www.gecode.org/mailman/listinfo/gecode-users
>>
>
>
>
> --
> Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
>
More information about the gecode-users
mailing list


| DOSE: |
repeated |
oral |
GBL |
(daily) |
I first started taking recreational drugs approximately a year and a half ago. Though my experiences since then have been varied and I consider them to be quite an important portion of my life, both in the area of personal development and in garnering a rich history of enjoyable memories. To date I've done enjoyed Acid, Mushrooms, MDMA, various types of speed, Blue Lotus, LSA, Cannabis, a number of research chemicals, and a few others which escape me at the moment. To date I've also never found an addictive quality to anything, save for G.
I originally started taking G when my significant other introduced me to it, it was his personal favorite and when I found you could order GBL online, my curiousity could hardly be abated! The first dose I ever took was by far the most memorable, 1ml followed by a vague, questionable lightheadedness which lead to me deciding it was likely not much fun, and hence, explainably easy to acquire. The 1ml was bumped with another 1.5 after an hour, an attempt on my part to try to assuage my disappointment with the substance thus far. Within a good 30 minutes and after a brief, hot shower I felt an intense euphoria accompanying what I like to describe as all the best parts of being drunk without the negative aspects.
GBL has always been the best alternative to drinking for me, and that I found quite important as I frequently consumed an entire bottle of 100 proof liquor in order to get sufficiently drunk at parties. Time went on and I continued ordering G, eventually reaching the point where I would dose nightly to relax and enjoy a peaceful intoxication. G was everything I ever wanted in alcohol, a cleaner, happier high that was significantly more clear-headed and pleasant without any negative side-effects the next morning. In fact, I found it quite to the contrary, I felt better after the G wore off than I did before consuming it in the first place.
As time went on I noticed my nightly G habbit had also caused me to lose a bit of weight and add muscle tone, which was impressive as I normally weigh about 155lbs anyhow at 5'9' and typically only put on a very thin layer of fat to begin with. I felt better than ever, healthy, slim, with good tone and generally happy. Things progressed however and I found myself unemployed and taking night courses, the eventuality of it turning quickly into a dose in the morning to help wake up and feel good instead of a coffee and an hour of foggy tiredness. The morning dose soon became an all morning dose, and then another in the afternoon, and more at night. The habbit escalated to constant use, and has stayed there to this date. Presently I have been high all day, every day, for about six months. It was originally not a problem in my opinion, until just recently.
G has a very interesting way of turning on you, I've noticed. I still find it very pleasurable, however I have noticed that now, when I am between doses, I experience an increased heart rate which is fairly uncomfortable and I find it nearly impossible to sleep. Even as I write this, I'm awake at 5:25am after 2 hours of sleep which were promptly interrupted as the G left my system, with a glass of coke and GBL resting beside my keyboard.
It is not my intent to demonize G in any way, quite the contrary. I would like to warn anyone who is a frequent recreational user than tollerance and addiction are possible with G, however they are not necessarily as big of a problem as with many other drugs. I myself am tapering my usage lately with very mild discomfort, slowing down my consumption in order to achieve a nightly routine again rather than a constant dosage. My advice is to avoid taking it a contant basis as it leads to a somewhat messy dependancy which is troublesome to ween off of.
I would however, like to go into further detail about what I feel are the shining aspects of G, and the reason that I don't imagine I'll ever cease consumption at least on some level. G has a certain wonderful social quality, reducing inhibitions and stress to a significant level. I find it increadibly useful as I am presently employed in sales, and intoxication seems to increase my closing average by a considerable amount. Work is also, as you may imagine, far more entertaining while high.
G appears to have far more health benefits and far less health problems associated with it than the consumption of almighty Alcohol, the psychoactive of course for the US government. Personally, I reguard alcohol as a dirty, painful experience after my habbitual use of G, a last resort I am perhaps considering to produce depressant effects in order to calm myself during the G-withdrawl. G is also perhaps the best sleep aid in existance. It works fabulously to that end, sleep is uninterrupted and even a brief nap can be considerably more refreshing than without it.
An overdose of G, I have found from repeated personal experience, even up to consuming 10ml of pure GBL over the course of an hour, is extremely mild in comparison with many other drugs, a few hours of rest and I will usually just wake up and feel alright again. I have also found that G is a fantastic substance which lends it's wonderful qualities to most any other drug in good combination, though I don't recommend it with any manner of speed as it tends to negate the effects of amphetamines, being an extremely powerful depressant. Perhaps one of the other increadible values one can attribute to G is certainly it's ability to minimize after-effects from other substances, most noteably E. The post-E depression and general lethargy and nastiness can be abated by dosing with G I've found, making it quite useful if one is forced to do anything of importance the day after a particularly hard roll.
Overall, I value my experience with G very highly, and while I am slightly dependant on it at present, I still don't believe I can condemn the substance rather than my own gross abuse of it as of late.
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.


Multiple Bill Calculator
Multiple Bill Calc
About
Answer these questions to determine your client's possible sentencing range:
1
My Client is currently charged with:
2
My Client is a:
Double
Triple
Quad
Project by Ryan Gaudet and John Love Norris, IV


Cat Out Of The Bag
How Does This Game work?
- Get a group of four people and when you are ready press the "Start Game" button.
- Use the form to enter your names and start the game!
- Once you are in the game you will be shown a card that asks a question, the goal is for each person to vote for the person that they think the card best fits.
- The person with the most votes will be crowned the winner of the round and another card will be shown in which the voting will repeat.
- After several rounds the person who reaches 2 wins will be crowned the winner of the game and you will be shown the results!
List of cards


This couple colour-coordinated their wedding lehenga and sherwani in the most BEAUTIFUL way ever
by TIMESOFINDIA.COMIf you think brides and grooms in India spend a lot of time and money in deciding various details of their wedding, including the wedding trousseau, then you have perhaps not come across pictures of NRI couples. Well, Indians living abroad are leaving no stone unturned to get to their roots for their big day and if that means dressing up to the nines, as per the Indian traditions then so be it.
We came across one such couple living in United Kingdom, who went to the extent of colour-coordinating their wedding outfit, and no prizes for guessing that they looked so regal together.
When UK-based Amar Jandoo decided to tie the knot with beau Hiren Gondhia, she picked up the most elegant lehenga ever. The subtle pink lehenga was courtesy, Frontier Raas. The beautiful creation featured elaborate dark pink embroidery. Amar finished off the look with a lovely choker necklace, matching earrings and maang tikka.
The dapper groom, Hiren set some serious groom style goals by complementing his wife perfectly in a pink sherwani which featured silver embroidery. He finished off the look with a rani pink stole, a churidaar, pearl maala and juttis.
We are in love with this gorgeous couple's wedding style, tell us what do you think about the duo's wedding looks.
Photo: Zohaib Ali


Excel Schedule Maker
This is a VBA application that allows a user to enter a list of employees, their required numbers of shifts, and the shift schedule into a spreadsheet to generate a work schedule with all the employees in selectable, conditional dropdown lists for each shift. Both schedule generation and active conditional checking occurs in linear time. It allows the user both to select employees for each shift by hand or to hit a button to automatically optimize and fill each shift with the required number of employees.
Rich's Smog & Repair, Fremont, CA Jan 2015 – Current
Rich's Smog & Repair is my uncle's automotive repair shop located near the Tesla factory in Fremont, CA. I am the webmaster and currently handle the migration from Apache 2.2 to 2.4 and have been updating the site to include interactive PHP and AJAX as well as all upkeep for future content. This site was made during the web 1.0 era, so a lot of improvements can be made. Since there is no backend to handle and no blog-esque updates there is no decision to switch to a CMS anytime soon.
ThriveSync, Brooklyn, NY Jan 2016 – Current
ThriveSync is a mental health modeling application by ThriveStreams. I offered my free time to moonlight on the project to support my colleague who had flown over to the east coast to c hase his dream of a startup. I am in charge of refactoring the code base from using static strings to a centralized YAML file which utilizes i18n in Rails. I also made a RESTful language selector for the site using parameter passing to change the default language. The team has successfully implemented simple Han, Spanish, and English. The site is currently shutting down.
Petra SLO, San Luis Obispo, CA May 2014 – Dec 2014
Petra is a mediterranean restaurant located in the Central Coast of California. I befriended Rammy, the restaurant owner, in an accounting class where he asked me to help him update his site. I assisted in the site redesign by helping with most of the file transfers and coding for JS and AJAX integration that is now utilized in the interactive restaurant menu.
RETechnology 2013 Buyer's Guide Mar 2013 – Apr 2013
RETechnology is an educational platform that shows real estate agents and brokers how to use and evaluate technology to grow their business. I was part of the software team that rolled out the first interactive Buyer's Guide, a catalog of current apps and tech for users to sift through. My role was to QA parts of the project:


---
title: My research repository
---
Projects
{% capture projects %}
{% include get-site_projects.html %}
{% endcapture %}
{% assign project_list = projects | strip_newlines | strip | split: "," | uniq %}
{% for project in project_list %}
{% unless project == "" %}
- {{ project }}
{% endunless %}
{% endfor %}


The more I think about it, the more I believe that the links I bookmark everyday are an important dimension of my online life.
They're mine to keep.
In late 2011 Google »integrated« several of its Reader's features into GooglePlus. Those features became useless after what we feel was an amputation of vital parts. We mainly missed the sharing goodness and as it happened, we were looking for Google alternatives anyway at that time.
To replace the core functionality, we settled with the open-source feed reader tiny, tiny rss (which is neither tiny nor tiny, tiny by the way, but rather great), in short: tt-rss. Even though it exceeds Google Reader in some aspects (yay, self-hosting and open source!), for us it lacks a few neat features, too. The things we miss and are about to (re-)build are:
1
Drive-by-Sharing
Share any page you are browsing with a simple, intuitive bookmarklet, even though you're not subscribed to the website's feed (it might not even have one). See the screenshot above for an example.
2
Shared-Widget
To show the non-tt-rss-using world what you share with other tt-rss-users, gritttt-rss provides a widget that shows the latest items from tt-rss' public shared feed on your website (examples can be seen embedded on the lower right on both Nic's website and Jan's website).
3
Import
In order to make the move feel like Google Reader never happened, gritttt-rss lets you import your historic starred and/or shared items from Google Reader into tt-rss.
We hope an image helps to see how we envision these three ways for articles (that you want to share with the world) to flow around your tt-rss instance (click to enlarge). All that is needed as direct addition to tt-rss is one dedicated feed in its database:
Where to go next with this?
Fundamentally, gritttt-rss allows a user to keep a list of their bookmarked links. (S)he can also share them via RSS and a widget, but
collecting bookmarklets is the primary functionality:
The more I think about it, the more I believe that the links I bookmark everyday are an important dimension of my online life. I bookmark a couple links everyday,
and years later I can look back and understand what I was interested in during certain times.
Unlike online services like Delicious or Pinboard, however, the user hosts the list
of bookmarked links him- or herself - (s)he really owns the data. And the method (the gritttt-rss code) is open-source.
To make gritttt-rss work, we have used tt-rss as the vehicle of choice. It hosts the list of bookmarked links in its database and via its
RSS-subscriptions, it provides a very convenient method to bookmark links (via sharing or starring). Basically, we only added the feature to share any other website
you're browsing on. However, gritttt-rss could also be independent of tt-rss -
it could do its work of building up a self-hosted list of bookmarks using other software (e.g. a different RSS Reader) as vehicle,
or even write only to an archive of plain RSS files.
This is just something that is on our minds now. As it stands, gritttt-rss is working very pleasantly for us and we already keep track of what has been
important to us every day :)


I was recently interviewed about some of the legal & technical challenges the OPRAmachine team has encountered while running the site.
Gavin Rozzi is an independent journalist & web developer who has created several successful local news websites and investigative journalism platforms serving New Jersey.
His political news website Ocean County Politics quickly became a “must read” for political insiders and public officials with in-depth reporting about local government, campaign finance and revelations about investigations of public officials in Ocean County, NJ. Articles published on Ocean County Politics have been cited by local, regional & national news outlets.
Rozzi’s second web project, JerseyLeaks, a whistleblowing platform operated in collaboration with other journalists, uses encryption to provide anonymity to sources seeking to blow the whistle on matters of public corruption. This platform has helped multiple journalists securely interact with anonymous sources and disseminate materials provided by them.
In 2017 he launched OPRAmachine, a statewide freedom of information portal and the first website of its kind to serve the entire state of New Jersey. The website allows anybody to easily request public documents from state and local governmental agencies under the New Jersey Open Public Records Act (OPRA).
Since its inception, OPRAmachine has developed into New Jersey’ largest archive of state, local & county public documents, making its entire archive of documents available to the public.
Expected B.A. in Political Science, 2018
Stockton University
High School Diploma, 2015
Lacey Township High School
Read what I have written elsewhere
Things I’ve published
I was recently interviewed about some of the legal & technical challenges the OPRAmachine team has encountered while running the site.
State court judge in Trenton orders New Jersey Attorney General’s Office to produce email logs after legal dispute.
I spoke with Jeff & Patrick about public records research and recent developments.
I was interviewed by WLFR’s Bill Watt for his show Watt’s The Move
A story I wrote about the 2016 campaign was featured on MSNBC’s The Rachel Maddow Show.
Things I am working on or have created
AG’s office violated New Jersey public records law, judge rules.
Lawsuit reveals practice of OPRA violations at New Jersey State Police
New Jersey’s first statewide freedom of information platform
Online SDR trunked radio scanner & archive for Ocean County, NJ
HAM radio club serving the greater Forked River, NJ area
New Jersey public corruption whistleblowing initiative
Political news and commentary for the Jersey Shore
GRC Reverses Fee Demand for Public Records
GRC declares county prosecutor violated OPRA law by witholding documents
Website to show Toms River Fire District 1 calls for service
Live police fire & EMS radio feed for Ocean County, NJ
My recent Open Public Records Act requests
Requests obtained from my profile on OPRAmachine:
Requested from: Monmouth County
Status: Clarification
This is a request for public records made under OPRA and the common law right of access. Please acknowledge receipt of this message. Records requ...
Requested from: Lacey Township
Status: Successful.
Gavin, Attached is your OPRA request on off-road enforcement detail. Thank you Lisa Monbleau Municipal Clerks Office Township of Lacey 818 Lacey Ro...
Requested from: Pine Beach Borough
Status: Successful.
At present the Borough of Pine Beach has the following vehicles: 2008 Ford Crown Victoria, estimated purchase price $25,000 utilizing state negotiat...
Courses I have assisted in teaching
I served as a teaching assistant for the following courses at Ocean County College:
I also provided technology assistance throughout the semester to this class, and helped to modernize the delivery of course materials compared to methods employed in past years.
In the Fall, 2018 semester I will be serving as a teaching assistant at Stockton University. Check back here for more details on the classes I will be helping to teach.
Consulting projects
I am available for hire as a consultant for commercial projects and partners interested in utilizing my services.
Some of the types of projects I am interested include:
I have created this section of my website due to the numerous inquiries I receive from users of my web services.
Public records research services
Due to my reputation for making use of the New Jersey Open Public Records Act (OPRA) for investigative reporting, I am often asked about assisting in researching a given topic for individuals and business owners using OPRA. I will soon be offering OPRA research services for those who would like to have me researh a specific topic and provide them with the records I obtain.
Rates for these services will be announced on this website at a later date.
I cannot provide legal advice to you about an OPRA request or how to proceed with a specific legal strategy.
Please contact me if you would like to discuss a potential project.
How to support the journalism of Gavin Rozzi
The easiest way to help support my work is to support me with a monthly contribution on Patreon. The biggest expense to support my operation each month is typically server space and related web hosting expenses.
If you would like to support my work with software defined radio (SDR) such as OC Radio Live, please consider subscribing to a premium plan at a reasonable monthly rate. The premium plan will enable additional features of the site as well as enable you to go as far back as two months back in time in our archives. Premium plan subscriptions help us to add more channels and defray the costs of web hosting.
Bitcoin contributions are accepted at this address: 1CD1pzuknYNeRVmHNN3SavPfTLuq3Ef5CQ
If you want to follow me or my work, be sure to follow my accounts on social media. Links to my various profiles are linked at the top of this website. If you find value in something I have created or written, please feel free to share it on social media.
Get in touch


public class ParallelSequence extends Sequence
For example, keep in mind that the random number generator is unsynchronized. If you access the random number generator from within a ParallelSequence, or indeed from multiple threads you've spawned in other situations, you need to remember to lock on the random number generator itself.
In the same vein, if you use a RandomSequence within a ParallelSequence, you need to let the RandomSequence know this so that it will lock on the random number generator properly. This is done by setting the shouldSynchronize flag in the RandomSequence.
ParallelSequences are lightweight: they reuse the same threads if stepped repeatedly. This means that you must never attach a ParallelSequence inside itself -- that'd be an infinite loop, but it also would create weird thread errors.
While ParallelSequences might LOOK cool, generally speaking the only time you should ever think to use them is if you actually HAVE multiple CPUs on your computer. Otherwise they're almost certainly not the solution to your odd multiple-thread needs.
Important Note Because ParallelSequences are lightweight, their threads are persistent, even after your step() method has completed (this allows them to be reused for the next step() method. If the ParallelSequence is garbage collected, we automatically delete all its threads in its finalize() method. And that's the rub: even if you get rid of your ParallelSequence, it's often the case that its garbage collection is delayed, or even that the VM will never garbage collect it.
Thus when you're done with your ParallelSequence and wish to throw it away, you should always call cleanup(), which deletes the threads manually. Otherwise the thread resources will leak and quickly consume all your available memory.
Alternatively you can call setDestroysThreads(true) on your ParallelSequence. This will cause the ParallelSequence to destroy its threads every single time the ParallelSequence's step() method completes. This is expensive but you don't have to keep track of the ParallelSequence at the end of the run to call cleanup() on it. It's not a bad idea for a ParallelSequence which is one-shot rather than repeating.
Be sure to read the class documentation on sim.engine.Sequence
| Modifier and Type | Field and Description |
|---|---|
static int |
CPUS
Indicates that MASON should determine how many threads to use based on the number of CPUs.
|
static int |
STEPPABLES |
| Constructor and Description |
|---|
ParallelSequence(java.util.Collection steps)
Creates an immutable ParallelSequence with one thread per steppable in the collection.
|
ParallelSequence(java.util.Collection steps,
int threads)
Creates an immutable ParallelSequence with the specified number of threads, or if threads==ParallelSequence.CPUS, then the number of threads is determined
at runtime based on the number of CPUs or cores on the system, or if threads == ParallelSequence.STEPPABLES, then the number of threads
is the size of the collection passed in (and may change as the collection grows or shrinks).
|
ParallelSequence(Steppable[] steps)
Creates an immutable ParallelSequence with one thread per steppable.
|
ParallelSequence(Steppable[] steps,
int threads)
Creates an immutable ParallelSequence with the specified number of threads, or if threads==ParallelSequence.CPUS, then the number of threads is determined
at runtime based on the number of CPUs or cores on the system, or if threads == ParallelSequence.STEPPABLES, then the number of threads
is the size of the steps array passed in.
|
| Modifier and Type | Method and Description |
|---|---|
void |
addSteppable(Steppable steppable)
Requests that the provided Steppable be added to the Sequence prior to the next step() call.
|
void |
addSteppables(java.util.Collection steppables)
Requests that the provided Steppables be added to the Sequence prior to the next step() call.
|
void |
addSteppables(Steppable[] steppables)
Requests that the provided Steppables be added to the Sequence prior to the next step() call.
|
protected boolean |
canEnsureOrder()
If your subclass does not respect order, override this method to return
false, and Sequence will ignore the ensuresOrder result.
|
void |
cleanup()
Call this just before you get rid of a ParallelSequence: for example, one good place is the stop() method of
your simulation.
|
protected void |
finalize() |
Steppable |
getCleaner() |
boolean |
getDestroysThreads() |
boolean |
getEnsuresOrder()
Returns whether the order among the remaining Steppables in the internal array is maintained after removing
Steppables via removeSteppable() or removeSteppables().
|
boolean |
getUsesSets()
Returns whether the Sequence uses a Set internally to manage the internal array.
|
void |
removeSteppable(Steppable steppable)
Requests that the provided Steppable be removed from the Sequence prior to the next step() call.
|
void |
removeSteppables(java.util.Collection steppables)
Requests that the provided Steppables be removed from the Sequence prior to the next step() call.
|
void |
removeSteppables(Steppable[] steppables)
Requests that the provided Steppables be removed from the Sequence prior to the next step() call.
|
void |
replaceSteppables(java.util.Collection collection)
Requests that the provided Steppables replace the existing Steppables in the internal array prior to the next step() call.
|
void |
replaceSteppables(Steppable[] steppables)
Requests that the provided Steppables replace the existing Steppables in the internal array prior to the next step() call.
|
void |
setDestroysThreads(boolean val) |
void |
setEnsuresOrder(boolean val)
Sets whether the order among the remaining Steppables in the internal array is maintained after removing
Steppables via removeSteppable() or removeSteppables().
|
void |
setUsesSets(boolean val)
Sets whether the Sequence uses a Set internally to manage the internal array.
|
void |
step(SimState state) |
public static final int CPUS
public static final int STEPPABLES
public ParallelSequence(Steppable[] steps, int threads)
public ParallelSequence(Steppable[] steps)
public ParallelSequence(java.util.Collection steps, int threads)
public ParallelSequence(java.util.Collection steps)
public boolean getDestroysThreads()
public void setDestroysThreads(boolean val)
public Steppable getCleaner()
public void cleanup()
protected void finalize() throws java.lang.Throwable
finalize
in class java.lang.Object
java.lang.Throwable
protected boolean canEnsureOrder()
Sequence
canEnsureOrder
in class Sequence
public void step(SimState state)
public void replaceSteppables(java.util.Collection collection)
Sequence
replaceSteppables
in class Sequence
public void replaceSteppables(Steppable[] steppables)
Sequence
replaceSteppables
in class Sequence
public void addSteppable(Steppable steppable)
Sequence
addSteppable
in class Sequence
public void addSteppables(Steppable[] steppables)
Sequence
addSteppables
in class Sequence
public void addSteppables(java.util.Collection steppables)
Sequence
addSteppables
in class Sequence
public void removeSteppable(Steppable steppable)
Sequence
removeSteppable
in class Sequence
public void removeSteppables(Steppable[] steppables)
Sequence
removeSteppables
in class Sequence
public void removeSteppables(java.util.Collection steppables)
Sequence
removeSteppables
in class Sequence
public boolean getEnsuresOrder()
Sequence
getEnsuresOrder
in class Sequence
public void setEnsuresOrder(boolean val)
Sequence
setEnsuresOrder
in class Sequence
public boolean getUsesSets()
Sequence
getUsesSets
in class Sequence
public void setUsesSets(boolean val)
Sequence
setUsesSets
in class Sequence


Trip'n on a Budget
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