54 A film review by Matt Williams
RATING: * out of * * * *
The 70s are a hot era in Hollywood right now. 54 is the latest film to jump on the retro train. This time, the infamously exclusive disco, Studio 54, is the backdrop for yet another drama detailing the soullessness of the disco age.
The central character of 54 is Shane O'Shea (Ryan Phillippe), a young man who sees the exotic world of Studio 54 as his escape from his pathetic life in New Jersey. Catching the eye of the Studio 54 owner, Steve Rubell (Mike Myers), Shane soon finds himself with a job as a busboy. Night after night, he is able to catch glimpses of the rich and famous, including his dream girl, soap star Julie Black (Neve Campbell).
Shane quickly strikes up a friendship with some other club employees, a married couple Anita and Greg (Salma Hayek and Breckin Meyer). Anita is only a hat check girl, but she dreams of being a disco diva, if only she could get a break.  So much of flows throughout the film that you just know there's going to be a big denouement. And when it comes, the moral message is awfully heavy handed. The entire climax of the film ends up being awkward and unconvincing.
But at least the film delivers a message there, which is more than can be said about the remainder of the film's half-dozen subplots. They're simply tossed into the film with no thought (or screen time) given to any semblance of resolution. A few of the luckier subplots are tidied up with a quick gloss-over narration, but in any case it's sloppy filmmaking.
Ryan Phillippe is rather unremarkable as the film's centerpiece. Of the entire cast, only Mike Myers truly stands out. And that is mostly due to the fact that he displays a heretofore unknown range of talent with a dramatic role.
For all its glitz, 54 paints the 70s as a rather boring era. Billed as the party that never ends, in 54 it seems more like the party you just can't wait to leave. At least the soundtrack is interesting.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 600 reviews, and information on nearly 700 upcoming releases
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
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Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


(defvar *config* '(keep 256))
(defmacro ?? (x) `(getf *config* ',x))
(defstruct row cells used)
(defstruct cols all x y names)
(defstruct rows rows cols)
(defstruct col (n 0) (at 0) (txt "") (w 1) )
(defstruct (few (:include col)) kept ok (max (?? keep)))
(defstruct (num (:include col)) (kept (make-few)))
(defstruct (sym (:include col)) kept)
#| shorthand macro for lambda.
|#
(defmacro λ (args &rest rest) `(lambda ,args ,@rest))


Steve Clarke: 'I am still adapting to Scotland role'
Steve Clarke believes the Scotland players are slowly getting to know him while he adapts to international management.
The former West Brom and Kilmarnock boss took over from Alex McLeish in May, after the Scots had started the Euro 2020 qualifying campaign with a shock 3-0 defeat in Kazakhstan and an expected win over lowly San Marino.
Scotland moved into third place behind Belgium and Russia with a 2-1 win over Cyprus in Nicosia on Saturday but have no chance of qualifying automatically for the finals, albeit they will get an opportunity through the Nations League play-offs in March.
Ahead of the final Group I fixture against Kazakhstan at Hampden Park on Tuesday night, Clarke revealed how the Scotland camp have gelled in the past few months.
He said: "I am still adapting. I am still learning, I am still working on it. I am learning more and more all the time.
"This second game of the two-game period becomes a time when you don't have much time at all on the training pitch so you have to do more in the meeting rooms, more in the videos.
"A little more classroom work than practical work. So I am learning all the time.
"Slowly but surely you start to get familiarity.
"The players start to understand me, they maybe see that I am not quite as dour and difficult to get on with as maybe some people imagine.
"In a club situation, that kind of bond develops over four, six, eight weeks. You get it very quickly.
"But in this situation, you take a bit longer because you only have short periods of time together. But the team spirit is good."
body check tags ::


On maps we use co-ordinates to describe absolute position. Relative position is described by using the 16 compass directions as well as true and magnetic bearing. If you need a reminder of how to measure bearing, click on the animation. Access the Grade 10 and 11 skills if you need to refresh your memory on fixing co-ordinates or working with magnetic declination.


About
In school I developed a lot of web-sites. I started with static HTML site. I read many about Search Engine Optimization(ranking, PR), advertising in Internet(banners, context, references, conversion, arbitration traffic, warez).
My first dynamic site was on PHP, on CMS DLE with max PR=3, this site was winner of school sites competition in 2009, after that I do a lot of other sites on DLE. My last experience with PHP was writing tutor-findning site with CodeIgniter.
In first year of study in Moscow Institute of Physics and Technology I did simple search engine, It finds sentences in acm.timus.ru, all sources are opened.
My first working in team was working with guys who developed soft for automotization house. I write on Python some drivers for hardware devices also I worked with Raspberry Pi and Arduino. My small application for playing on piezo-buzzer in browser.
In summer 2012 I worked in Moscow Exchange, It was intership in testing department. I wrote functional tests on Python and developed function for Python wrapper of connection library and testing library.
In second year I interested in crypto currency and quantitative analysis. I wrote some paper about it (only in Russian, but with pictures :).
My last big project is site for creation contests, It’s on developing. It’s team developing and I lead of team, we use bitbucket(git, issues, wiki) and continuous integration(codeship.io). I developed back-end on Django, some frontend(jQuery, Amcharts) and full server side(DigitalOcean). We recieved money grant on developing this product.
I have finished cource on Coursera(Computational investing, part 1). I have familiar with Python Science tools: numPy, panda, sciPy. I always used iPython notebook for writing some paper work, for example random 3-SAT(on Russian)
In programming I interested in developing of scalable, fault-tolerant systems, organization development process. My science interests is economics and machine learning. Bit I always open for new idea that matter.


Do you happen to have lot of links that you want to share ? It' bad that you have to copy and paste them. Say hello to bucket, it is just an application to assist you with saving your links and sharing them.
bucket
Try it


React Terminology
React Terminology
Glossary of React Terms
Single-page Application
A single-page application is an application that loads a single HTML page and all the necessary assets (such as JavaScript and CSS) required for the application to run. Any interactions with the page or subsequent pages do not require a round trip to the server which means the page is not reloaded.
Though you may build a single-page application in React, it is not a requirement. React can also be used for enhancing small parts of existing websites with additional interactivity. Code written in React can coexist peacefully with markup rendered on the server by something like PHP, or with other client-side libraries. In fact, this is exactly how React is being used at Facebook.
ES6, ES2015, ES2016, etc.
These acronyms all refer to the most recent versions of the
ECMAScript Language Specification standard, which the JavaScript
language is an implementation of. The ES6 version (also known as
ES2015) includes many additions to the previous versions such
as: arrow functions, classes, template literals,
let
and
const
statements. You can learn more about specific versions
here.
Compilers
A JavaScript compiler takes JavaScript code, transforms it and returns JavaScript code in a different format. The most common use case is to take ES6 syntax and transform it into syntax that older browsers are capable of interpreting. Babel is the compiler most commonly used with React.
Bundlers
Bundlers take JavaScript and CSS code written as separate modules (often hundreds of them), and combine them together into a few files better optimized for the browsers. Some bundlers commonly used in React applications include Webpack and Browserify.
Package Managers
Package managers are tools that allow you to manage dependencies in your project. npm and Yarn are two package managers commonly used in React applications. Both of them are clients for the same npm package registry.
CDN
CDN stands for Content Delivery Network. CDNs deliver cached, static content from a network of servers across the globe.
JSX
JSX is a syntax extension to JavaScript. It is similar to a
template language, but it has full power of JavaScript. JSX gets
compiled to
React.createElement()
calls which return plain JavaScript objects called “React
elements”. To get a basic introduction to JSX
see the docs here
and find a more in-depth tutorial on JSX
here.
React DOM uses camelCase property naming convention instead of
HTML attribute names. For example,
tabindex
becomes
tabIndex
in
JSX. The attribute
class
is also
written as
className
since
class
is a
reserved word in JavaScript:
const name = 'Clementine';
ReactDOM.render(

My name is {name}!
,
document.getElementById('root')
);
Elements
React elements are the building blocks of React applications. One might confuse elements with a more widely known concept of “components”. An element describes what you want to see on the screen. React elements are immutable.
const element =
Hello, world
;
Typically, elements are not used directly, but get returned from components.
Components
React components are small, reusable pieces of code that return a React element to be rendered to the page. The simplest version of React component is a plain JavaScript function that returns a React element:
function Welcome(props) {
return
Hello, {props.name}
;
}
Components can also be ES6 classes:
class Welcome extends React.Component {
render() {
return
Hello, {this.props.name}
;
}
}
Components can be broken down into distinct pieces of
functionality and used within other components. Components can
return other components, arrays, strings and numbers. A good
rule of thumb is that if a part of your UI is used several times
(Button, Panel, Avatar), or is complex enough on its own (App,
FeedStory, Comment), it is a good candidate to be a reusable
component. Component names should also always start with a
capital letter (<Wrapper/>
not
<wrapper/>
). See
this documentation
for more information on rendering components.
props
props
are
inputs to a React component. They are data passed down from a
parent component to a child component.
Remember that
props
are
readonly. They should not be modified in any way:
// Wrong!
props.number = 42;
If you need to modify some value in response to user input or a
network response, use
state
instead.
props.children
props.children
is available on every component. It contains the content between
the opening and closing tags of a component. For example:
<Welcome>Hello world!</Welcome>
The string
Hello world!
is
available in
props.children
in the
Welcome
component:
function Welcome(props) {
return
{props.children}
;
}
For components defined as classes, use
this.props.children
:
class Welcome extends React.Component {
render() {
return
{this.props.children}
;
}
}
state
A component needs
state
when some
data associated with it changes over time. For example, a
Checkbox
component might need
isChecked
in
its state, and a
NewsFeed
component might want to keep track of
fetchedPosts
in
its state.
The most important difference between
state
and
props
is that
props
are
passed from a parent component, but
state
is
managed by the component itself. A component cannot change its
props
, but it
can change its
state
.
For each particular piece of changing data, there should be just one component that “owns” it in its state. Don’t try to synchronize states of two different components. Instead, lift it up to their closest shared ancestor, and pass it down as props to both of them.
Lifecycle Methods
Lifecycle methods are custom functionality that gets executed during the different phases of a component. There are methods available when the component gets created and inserted into the DOM (mounting), when the component updates, and when the component gets unmounted or removed from the DOM.
Controlled vs. Uncontrolled Components
React has two different approaches to dealing with form inputs.
An input form element whose value is controlled by React is called a controlled component. When a user enters data into a controlled component a change event handler is triggered and your code decides whether the input is valid (by re-rendering with the updated value). If you do not re-render then the form element will remain unchanged.
An uncontrolled component works like form elements do outside of React. When a user inputs data into a form field (an input box, dropdown, etc) the updated information is reflected without React needing to do anything. However, this also means that you can’t force the field to have a certain value.
In most cases you should use controlled components.
Keys
A “key” is a special string attribute you need to include when creating arrays of elements. Keys help React identify which items have changed, are added, or are removed. Keys should be given to the elements inside an array to give the elements a stable identity.
Keys only need to be unique among sibling elements in the same array. They don’t need to be unique across the whole application or even a single component.
Don’t pass something like
Math.random()
to keys. It is important that keys have a “stable identity”
across re-renders so that React can determine when items are
added, removed, or re-ordered. Ideally, keys should correspond
to unique and stable identifiers coming from your data, such as
post.id
.
Refs
React supports a special attribute that you can attach to any
component. The
ref
attribute
can be an object created by
React.createRef()
function
or a callback function, or a string (in legacy API). When the
ref
attribute
is a callback function, the function receives the underlying DOM
element or class instance (depending on the type of element) as
its argument. This allows you to have direct access to the DOM
element or component instance.
Use refs sparingly. If you find yourself often using refs to “make things happen” in your app, consider getting more familiar with top-down data flow.
Events
Handling events with React elements has some syntactic differences:
- React event handlers are named using camelCase, rather than lowercase.
- With JSX you pass a function as the event handler, rather than a string.
Reconciliation
When a component’s props or state change, React decides whether an actual DOM update is necessary by comparing the newly returned element with the previously rendered one. When they are not equal, React will update the DOM. This process is called “reconciliation”.
State
Ex: “Redux is a state manager.”
The state of a program means all the information stored by that program at a particular point in time. It is generally used to refer to the data stored by the program at a particular instance in time, as opposed to the logic of the program, which doesn’t change over time. The job of Redux is to store the state of your app and make it available to entire app.
Store
Ex: “Redux stores state in a single store.”
The Redux store is a single JavaScript object with a few methods, including getState, dispatch(action), and subscribe(listener). Any state you want Redux to handle is held in the store.
Actions
Ex: “The Redux store is updated by dispatching actions.”
An action is a POJO (plain old JavaScript object) with a type property. Actions contain information that can be used to update the store. They can be dispatched, i.e. sent to the store, in response to user actions or AJAX requests. Typically Redux apps use functions called action creators that return actions. Action creators can take arguments which allow them to customize the data contained in the actions they generate.
Pure functions
Ex: “Redux reducers are pure functions.”
A function is pure if its behavior depends only its arguments and it has no side effects. This means the function can’t depend on the value of any variables that aren’t passed to it as arguments, and it can’t alter the state of the program or any variable existing outside itself. It simply takes in arguments and returns a value.
Reducer
Ex: “Redux handles actions using reducers.”
A reducer is a function that is called each time an action is dispatched. The reducer receives an action and the current state as arguments and returns an updated state.
Redux reducers are required to be pure functions of the dispatched action and the current state. This makes their behavior very predictable and allows their effects to potentially be reversed.
Middleware
Ex: “You can customize your response to dispatched
actions using middleware.”**
Middleware is an optional component of Redux that allows custom responses to dispatched actions. When an action is dispatched, it passes through each middleware that has been added to the state. The middleware can take some action in response and choose whether or not to pass the action on down the chain. Behind the scenes, the middleware actually replaces the dispatch method of the store with a customized version. There is a large ecosystem of existing middleware ready to be plugged into any Redux projects. One example is a logger that records each action before passing it on to the reducer. Perhaps the most common use for middleware is to dispatch asynchronous requests to a server.
Time traveling dev tools
Ex: “Redux has time traveling dev tools.”
Redux reducers are pure functions of the dispatched action and the current state. This means that if one were to store a list of the previous states over time and the actions that had been dispatched, one could retroactively cancel an action and recalculate the state as if that action had never been dispatched. This is precisely the functionality that the Redux DevTools provide. The dev tools can be added as middleware to any Redux project. They allow you to look back through the history of the state and toggle past actions on and off to see a live recalculation of the state. This ability to revert to a previous state is what is meant by time travel.
Thunks
Ex: “Thunks are a convenient format for taking
asynchronous actions in Redux.”
The traditional approach to middleware closely parallels the format of reducers. The actions being dispatched are POJOs with types and various middleware files are waiting to receive them. These files check the type of the action using a case statement just like reducers.
Thunks are an alternative approach. A thunk is a general concept in computer science referring to a function whose primary purpose is simply to call another function. In Redux a thunk action creator returns a function rather than an object. When they are dispatched, thunk actions are intercepted by a piece of middleware that simply checks if each action is a function. If it is, that function is called with the state and dispatch as arguments, otherwise it is passed on down the chain. Thunks are most commonly used to make asynchronous API requests.


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Croatia and Austria win to qualify for Euro 2020
by FSA EditorWins over Slovakia and Macedonia respectively saw Croatia and Austria reach Euro 2020 on Saturday.
Croatia and Austria each won on Saturday to join Netherlands and Germany in securing their places at Euro 2020.
Both Croatia and Austria came into their latest fixtures knowing only a point was required to reach the finals next year, although Zlatko Dalic’s men threatened to make hard work of their progress.
Playing their final qualifier, unlike Austria, who have another against Latvia to come, Croatia trailed at home to Slovakia until the 56th minute.
Robert Bozenik had put the visitors in front, but Nikola Vlasic and Bruno Petkovic scored in quick succession approaching the hour-mark to turn the match on its head.
Ivan Perisic completed a 3-1 victory after Slovakia’s Robert Mak was sent off, which sees World Cup finalists Croatia qualify as Group E winners.
Hungary lie second but must visit third-place Wales – just one point back – next week. A draw there would open the door for Slovakia to advance with victory at home to Azerbaijan.
Austria enjoyed a more straightforward outing, beating Macedonia 2-1 to join Poland in the top two in Group G.
David Alaba and Stefan Lainer scored early in each half, meaning Vlatko Stojanovski’s 93rd-minute reply mattered not.


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Class: Celluloid::Future
- Inherits:
-
Object
- Object
- Celluloid::Future
- Defined in:
- lib/celluloid/future.rb
Overview
Celluloid::Future objects allow methods and blocks to run in the background, their values requested later
Defined Under Namespace
Classes: Result
Instance Method Summary (collapse)
-
- (Object) execute(receiver, method, args, block)
Execute the given method in future context.
-
- (Future) initialize(*args, &block)
constructor
Create a future bound to a given receiver, or with a block to compute.
-
- (Object) signal(value)
(also: #<<)
Signal this future with the given result value.
-
- (Object) value
(also: #call)
Obtain the value for this Future.
Constructor Details
- (Future) initialize(*args, &block)
Create a future bound to a given receiver, or with a block to compute
8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
# File 'lib/celluloid/future.rb', line 8 def initialize(*args, &block) @mutex = Mutex.new @ready = false @result = nil @forwards = nil if block @call = SyncCall.new(self, :call, args) ThreadPool.get do begin @call.dispatch(block) rescue # Exceptions in blocks will get raised when the value is retrieved end end else @call = nil end end |
Instance Method Details
- (Object) execute(receiver, method, args, block)
Execute the given method in future context
29 30 31 32 33 34 35 36 |
# File 'lib/celluloid/future.rb', line 29 def execute(receiver, method, args, block) @mutex.synchronize do raise "already calling" if @call @call = SyncCall.new(self, method, args, block) end receiver << @call end |
- (Object) signal(value) Also known as: <<
Signal this future with the given result value
74 75 76 77 78 79 80 81 82 83 84 85 86 87 |
# File 'lib/celluloid/future.rb', line 74 def signal(value) result = Result.new(value, self) @mutex.synchronize do raise "the future has already happened!" if @ready if @forwards @forwards.is_a?(Array) ? @forwards.each { |f| f << result } : @forwards << result end @result = result @ready = true end end |
- (Object) value Also known as: call
Obtain the value for this Future
39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
# File 'lib/celluloid/future.rb', line 39 def value ready = result = nil begin @mutex.lock raise "no call requested" unless @call if @ready ready = true result = @result else case @forwards when Array @forwards << Thread.mailbox when NilClass @forwards = Thread.mailbox else @forwards = [@forwards, Thread.mailbox] end end ensure @mutex.unlock end unless ready result = Thread.receive do |msg| msg.is_a?(Future::Result) && msg.future == self end end result.value end |


Ingredients
Makes four large pizzas. Separate and freeze to dough if you are unable to consume 4 pizzas alone.
- 900g flour, bread preferred, all-purpose okay
- 17g instant dry yeast
- 17g salt
- 55g sugar
- 30mL extra virgin olive oil, divided
- 500mL warm water
- Amount varies by environmental factors
- 10g italian seasoning or just oregano
- 30g corn meal, or more
- Toppings and sauce of choice
Directions
You can use a stand mixer with a dough hook to mix and knead the dough
- Add flour to bowl
- Add the yeast, salt, sugar, and 15mL oil on top of flour, separate around perimeter of bowl
- Gradually add water and mix until it looks like bread dough
- Not wet, not dry
- Shaggy
- Move it to a floured surface and knead it for a while.
- Soft
- Pliable
- Lightly grease a large bowl, place the kneaded dough inside. Cover and let rise until doubled, about an hour. I create a proofing oven by placing a pot of boiling water in my oven beside the dough bowl. As the water evaporates, it warms and humidifies the air.
- Meanwhile, prep toppings and sauce
- Dust pizza pan or stone with corn meal, add pizza dough
- Divide dough and roll into preferred shape about 0.25" thick (blob shapes are just happy little accidents). If thick crust is desired, roll and fold edge(s). If fancy crust is desired, stuff and/or pleat edges
- Rub top with olive oil then top with sauce and toppings
- Preheat oven to 230°C (450°F), colder and longer time if pizza is thicker
- Bake for 10-15 minutes. Check on it often and continue until cheese is melted and crust is golden brown. If it smells burnt, it has been too long.


ledger
/
net.corda.v5.ledger.transactions
/
TransactionBuilder
/
setPrivacySalt
setPrivacySalt
abstract
fun
setPrivacySalt
(
privacySalt
:
PrivacySalt
)
:
TransactionBuilder


Simple Machine Learning algorithms based on the flow of Artificial Neural Network. The layer(s) used in the algortihms are dense type.
Overview
The project is made in Scala purely with Nd4J(equivalent to Numpy in Python), a scientific computing library for the JVM with routines designed to run fast with minimum RAM requirements. It is a typical sbt project.
Please follow the below steps to setup and use the same:
- Install and setup sbt.
- Download or clone the repository.
- Open terminal at the downloaded(or cloned) directory.
- Command: sbt run and specify the class you want to run.
Note
- In order to tune an algorithm for a dataset, play around with hyperparameters specified for each algorithm.
- It may be required to implement initialization and data transformation techniques for better results, but the sole purpose of the project is to depict the way algorithms work in an ANN.
Each algorithm designed follows the phases defined below using Vector Algebra, Calculaus and Matrix Manipulations. The core equations remains same but there are derived equations as the algortihm changes.
Algorithm Flow
For number of samples $m$, features $n$ in an input matrix $X_{m\times n}$, $f_{act}$ as Activation function, $W_{1\times n}$ as Weight vector, $B$ as Bias, assuming $i$ ranging from $1$ to $m$ and $j$ ranging from $1$ to $n$, an ANN model is governed by:
- Output: $\hat{y_i}=\sum_{j=1}^n z_i$
- $z_i = (W_{1\times n}). (x_{1\times n}) + B$
- Cost: $J(\hat{Y}, Y)$
Each algorithm follows the below stages.
Forward Propagation
The process by which an ANN produces output is governed by each component neuron. Activation function is one of the factors that changes as an Algorithm changes.
Cost - An equation to penalize the model and using the penalty to train the model. The cost function is always made such that it should be convex in nature, hence while performing Gradient Descent, the Cost should converge to the global minima. Typically for :
-
Classification:
- SVM: $J(\hat{Y},Y)=\frac{\lambda}{2}\parallel W\parallel^2 + \sum_{i=1}^m max(0,1-y_i\times\hat{y_i})$
- Others: $J(\hat{Y},Y)=\sum_{i=1}^m y_i\times log_e(\hat{y_i})$
- Regression: $J(\hat{Y},Y)=\frac{1}{2\times m}\sum_{i=1}^m (\hat{y_i}-y_i)^2$
Backward Propagation
The process of learning and updating the learnable parameters in order to achieve maximum possible accuracy and minimum possible cost(or loss). The whole process is governed by Gradient Descent that minimizes the Cost function by taking specified number of steps to reach a global minima. Gradient Descent is evaluated by chain rule as :
-
Weights Gradient:
$\frac{\partial J(\hat{y_i},y)}{\partial w_j}=\frac{\partial J(\hat{y_i},y)}{\partial \hat{y_i}}\times\frac{\partial \hat{y_i}}{\partial z_i}\times\frac{\partial z_i}{\partial w_j}$
-
Bias Gradient:
$\frac{\partial J(\hat{y_i},y)}{\partial B}=\frac{\partial J(\hat{y_i},y)}{\partial \hat{y_i}}\times\frac{\partial \hat{y_i}}{\partial z_i}\times\frac{\partial z_i}{\partial B}$
The dependency comes due to:
- $J=f(\hat{y_i})$
- $\hat{y_i}=f_{act}(z_i)$
- $z_i=g(w_j,B)$
Parameters Update
As learnable parameters keep updating to achieve a desired accuracy, the model keeps learning. This is gauged by another hyperparameter - learningRate, that acts as a step(large or small) scaled of the descent to reach the global minima.
- When kept too large, it bounces back and forth off the global minima, hence always passing forth the global minima.
- When kept too small, it enables many descents to reach the global minima thereby slowing down the learning. Hence the parameter should be adjusted accordingly.
The parameters are updated as :
- $W_{new}=W_{old}-\alpha\times \frac{dJ}{dW}$
-
$B_{new}=B_{old}-\alpha\times \frac{dJ}{dB}$
where:
- $\frac{dJ}{dW}=\sum_{j=1}^n \frac{\partial J(\hat{y_i},y)}{\partial w_j}$
- $\alpha$ is Learning Rate
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Department of Computer Science
Guimu Guo
Robinson Hall #328-O
<EMAIL_ADDRESS>GENERAL INFORMATION
- Review COURSE INFORMATION:
- Reference course syllabus, schedule and other materials for:
- Access Canvas LMS on the Rowan Online Portal for assignments and labs
- Utilize Rowan Success Network to make appointments and check attendance records
- Look in Rowan Self-Service Banner to view student records and course registration
- Configure your COMPUTER SYSTEM and ACCESS:
- Confirm access to your Rowan Network Username & Password (different than your student ID# - usually your last name & first initial)
- Review access to your student information and course registration in Rowan Banner Self-Service (using your 9-digit Banner ID & PIN)
- Find your H: drive for Network File Storage
- Connect to the University's secure wireless network RowanSecure after you:
- Utilize Rowan Virtual Desktop or mount your home directory with Rowan ExpanDrive (if you require remote access to your H: drive)
- Install Office 365 with the full Office suite on up to 5 personal devices for free
- Access Rowan-owned software from any device using RowanCloud-Citrix on or off campus (if necessary)
- Create a folder called IOOP or other course name on your H: drive to store all your class projects and work (using File Manager)
- (IOOP) Install the platform-specific BlueJ Application and JDK for your system (MUST use at least BlueJ version 4.2.2 and Java 8)
- (IOOP) Download the BlueJ projects from the web
- (OPTIONAL) Make your own web presence by:
- Finding the public.www directory under your H: drive ... If not there, create a new directory named public.www
- Opening a text editor such as Notepad
- Writing your name in the text file ... Later, look at updating this file with HTML
- Saving the text file with the exact name index.html
- Accessing your web page from a browser using the URL: users.rowan.edu/~yourNetworkUsername
- Explore additional technical RESOURCES:
- Drop in for free CS Tutoring
- See the IOOP or OOPDA glossary of terms and concepts you should know
- Follow the Program Style Guide in your code
- View Video Notes online for each chapter in the textbook
- Complete LinkedIn Learning(Lynda) tutorials for specific topics related to IOOP
- Practice coding at CodeCheck with autograded exercises
- Consider the LearnerOO or Guru99 website and tutorials for additional help
- Utilize CodingBat, Practice-It, or CodeStepByStep for additional practice
- Review the ORACLE Java Tutorials to further comprehension
- Maximize your ROWAN EXPERIENCE:
- Check out How is College different from HS?
- Don't fall behind and always get help when necessary
- Be mature and responsible; professors are here to help facilitate your learning, but it is solely up to you to do the work to learn
- Attend classes regularly (even if not mandated) and check attendance records on RSN (if possible)
- Take care of yourself by utilizing the Wellness Center, Rec Center, and Student Center
- Ensure proper time management and studying time with help from the Academic Success Center
- Don't self-advise and see your CS Academic Advisor prior to registering for each semester
- Get to know some upper-level CS students, peer mentors, learning assistants, and tutors
- Join ACM, ACM-W, or some other campus activities/clubs including the Rowan Center for Cybersecurity Education and Research (CCER)
- Start thinking about resume and career resources, signup for the CS Jobs mailing list, and view existing job postings
- Reference the Rowan CS Department website to stay updated


Encodes raw bytes.
The bin format encodes string-like values with the assurance that the bytes will be interpreted exactly as-is.


CHAPTER 581 [OLD]
COMMISSION ON CHILDREN AND YOUTH
REPEALED. L 1976, c 207, pt of §2.
CHAPTER 581
OFFICE OF CHILDREN AND YOUTH
REPEALED. L 1996, c 298, §7.
Cross References
Office of youth services, see chapter 352D.


Montreal honours 'hero' driver who used SUV to shield pedestrians
MONTREAL — The City of Montreal is honouring a man hailed as a hero after he used his SUV to shield pedestrians from a speeding car.
by Canadian PressMONTREAL — The City of Montreal is honouring a man hailed as a hero after he used his SUV to shield pedestrians from a speeding car.
Mayor Valerie Plante praised Erick Marciano's act of courage today as she presented him with a certificate of honour and invited him to sign the city's Golden Book.
Plante said Marciano showed "remarkable heroism" when he pulled his vehicle in front of a driver fleeing police at a busy intersection last Tuesday.
But the 48-year-old father of three said he was only doing his duty when he made the split-second decision to act.
He said his mind flashed to stories of drivers mowing down pedestrians in Europe, and he didn't want that to happen in Montreal.
Marciano managed to get out of his car just before the collision and wasn't hurt, but his SUV suffered serious damage in the crash with the suspect's vehicle.
This report by The Canadian Press was first published Nov. 18, 2019.
The Canadian Press


Vulnerabilities:
High:
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Info:
Vulnerable Scripts:
Code Analysis
Duration:
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Total Files Unsupported:
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To start a new collaboration session just leave the room id blank. Otherwise enter a room id to joint an existing collaboration session (current images will be removed from the viewer). Finally click the Go! button to start!


Index
A B C D E F G H I K L M N O P R S T U W
All Classes All Packages
All Classes All Packages
All Classes All Packages
G
- getAllLabels() - Method in class datamodel.categories.ModelCategory
-
A method that return the list of labels saved for this category
- getAllLabels() - Method in class datamodel.classifications.ModelClassfication
-
A method that returns all the classifications saved until this point
- getAllLabels() - Method in interface datamodel.Model
-
A method that when implemented should return a List of generic (with the labels) saved
- getCategory(int) - Method in interface datamodel.DataModel
-
A method that when implemented, given the index of a category (ex.
- getCategory(int) - Method in class datamodel.TrainingModel
-
A method that, given the index of a category (ex.
- getCategoryName() - Method in interface datamodel.categories.Category
-
A method that when implemented should return the category name (ex: "Color")
- getCategoryName() - Method in class datamodel.categories.ModelCategory
-
A method that should return the category name (ex: "Color")
- getClassifications() - Method in class parser.facades.TestDataHolderFacade
-
A method that returns a List of String with the classifications data
- getClassLabel(int) - Method in interface datamodel.DataModel
-
A method that when implemented should return a label for a given index of a class.
- getClassLabel(int) - Method in class datamodel.TrainingModel
-
A method that returns a label for a given index of a class.
- getConfusionMatrix() - Method in class metrics.ConcreteConfusionMatrix
-
This method returns the actual confusion matrix (an int[][] matrix) with the lines symbolizing the number of predictions for each class and the columns symbolizing the number of each class real appearance in the data.
- getConfusionMatrix() - Method in interface metrics.ConfusionMatrix
-
A method that returns a matrix of int[][] with the actual confusion matrix
- getConfusionMatrix() - Method in class metrics.perclass.AbstractAuxiliaryScores
-
A method that returns a matrix of int (int[][]) with the confusion matrix used to calculate the scores
- getConnected(int) - Method in class graph.SimpleWeightedGraph
-
A method that given the index of the source node returns the list of WeightedEdges that outward from that node.
- getConnected(int) - Method in interface graph.WeightedGraph
-
A method that returns a list of WeightedEdges of generic type given their source node (returns a list of edges that outward from a specific node)
- getData() - Method in class parser.facades.TestDataHolderFacade
-
A method that returns a List of arrays of String with the data read previously
- getData() - Method in class parser.facades.TrainingDataHolderFacade
-
A method that returns a List of arrays of String with the data read previously
- getDestination() - Method in class graph.edge.SimpleWeightedEdge
-
A method that returns the destination of the edge
- getDestination() - Method in interface graph.edge.WeightedEdge
-
A method that when implemented should return the destination (node) where the edge goes to
- getGraph() - Method in class graph.search.AbstractMST
-
Returns the graph used to construct the MST.
- getIndexOfCategoryLabel(int, T) - Method in interface datamodel.DataModel
-
A method that when implemented should return a the index of a label of a given category Example: We want to know the index of the label 3 in X2 - In this case it could return 2
- getIndexOfCategoryLabel(int, T) - Method in class datamodel.TrainingModel
-
A method that returns the index of a label of a given category Example: We want to know the index of the label 3 in X2 - In this case it could return 2
- getIndexOfLabel(T) - Method in interface datamodel.categories.Category
-
A method that should return the index of a certain label of the category (ex: index of the label "green")
- getIndexOfLabel(T) - Method in class datamodel.categories.ModelCategory
-
A method that should return the index of a certain label of the category (ex: index of the label "green")
- getLabelIndex(T) - Method in class datamodel.categories.ModelCategory
-
A method that should return the index of a certain label of the category (ex: index of the label "green")
- getLabelIndex(T) - Method in class datamodel.classifications.ModelClassfication
-
A method that given a classification should return the number of times it appeared
- getLabelIndex(T) - Method in interface datamodel.Model
-
A method that when implemented should return the index of a label in the Model if it exists
- getLabelOfIndex(int) - Method in class datamodel.categories.ModelCategory
-
A method that should return a label given its index
- getLabelOfIndex(int) - Method in class datamodel.classifications.ModelClassfication
-
A method that given the index of a classification should return the number of times it appeared
- getLabelOfIndex(int) - Method in interface datamodel.Model
-
A method that when implemented, given an index should return the label saved
- getLabels() - Method in class metrics.AbstractMultipleCategoryScore
-
A method that return s List of generics (with labels) for the correspoding scores.
- getLabels() - Method in class metrics.ConcreteConfusionMatrix
-
This method returns a list of generic type with the labels corresponding to each line/col of data in the confusion matrix.
- getLabels() - Method in interface metrics.ConfusionMatrix
-
A method that returns a list of labels ordered according to the lines/columns of the confusion matrix
- getLabels() - Method in interface metrics.MultipleScore
-
A method that when implemented should return a List of generic types with the labels of each individual score class
- getLabels() - Method in class parser.facades.TestDataHolderFacade
-
A method that returns an array of String with the labels read previously.
- getLabels() - Method in class parser.facades.TrainingDataHolderFacade
-
A method that returns an array of String with the labels read previously.
- getLaplaceSmoothingTerm() - Method in interface datamodel.DataModel
-
A method that when implemented should return the LaplaceSmoothingTerm used (by default could be 0.5)
- getLaplaceSmoothingTerm() - Method in class datamodel.TrainingModel
-
A method that when implemented returns the LaplaceSmoothingTerm used (by default could be 0.5)
- getMST() - Method in class graph.search.AbstractMST
-
A method that returns the Maximum weighted Spanning tree.
- getMST() - Method in interface graph.search.MST
-
A method that returns the Maximum/minimum spanning tree of a graph in array of integers.
- getNcCount(int) - Method in interface datamodel.classifications.Classification
-
A method that when implemented should return the number of counts for a given classification (given the index of that classification)
- getNcCount(int) - Method in class datamodel.classifications.ModelClassfication
-
A method that returns the number of counts for a given classification (given the index of that classification)
- getNcCount(int) - Method in interface datamodel.DataModel
-
A method that when implemented should return an int with a count for a given N_c
- getNcCount(int) - Method in class datamodel.TrainingModel
-
A method that returns an int with a count for a given N_c
- getNcCount(T) - Method in interface datamodel.classifications.Classification
-
A method that when implemented should return the number of counts for a given classification (given the classification itself)
- getNcCount(T) - Method in class datamodel.classifications.ModelClassfication
-
A method that returns the number of counts for a given classification (given the classification itself)
- getNCount() - Method in interface datamodel.DataModel
-
A method that when implemented should return an int with the number of training examples used
- getNCount() - Method in class datamodel.TrainingModel
-
A method that returns an int with the number of training examples used
- getNijc(int, int, int, int) - Method in interface datamodel.categories.Category
-
A method that should return the N_ijc count
- getNijc(int, int, int, int) - Method in class datamodel.categories.ModelCategory
-
A method that should return the N_ijc count
- getNijcCount(int, int, int, int) - Method in interface datamodel.DataModel
-
A method that when implemented should return an int with a count for a given N_ijc
- getNijcCount(int, int, int, int) - Method in class datamodel.TrainingModel
-
A method that returns an int with a count for a given N_ijc
- getNijkc(int, int, int, int, int) - Method in interface datamodel.categories.Category
-
A method that should return the N_ijkc counts
- getNijkc(int, int, int, int, int) - Method in class datamodel.categories.ModelCategory
-
A method that should return the N_ijkc counts
- getNijkcCount(int, int, int, int, int) - Method in interface datamodel.DataModel
-
A method that when implemented should return an int with a count for a given N_ijkc
- getNijkcCount(int, int, int, int, int) - Method in class datamodel.TrainingModel
-
A method that returns an int with a count for a given N_ijkc
- getNikc(int, int, int) - Method in interface datamodel.categories.Category
-
A method that should return the N_ikc count
- getNikc(int, int, int) - Method in class datamodel.categories.ModelCategory
-
A method that should return the N_ikc count
- getNikcCount(int, int, int) - Method in interface datamodel.DataModel
-
A method that when implemented should return an int with a count for a given N_ikc
- getNikcCount(int, int, int) - Method in class datamodel.TrainingModel
-
A method that returns an int with a count for a given N_ikc
- getNumCategories() - Method in interface datamodel.DataModel
-
A method that the when implemented should return the number of categories that a DataModel has Example: We can have X1, X2 and X3 - In that case the method should return 3
- getNumCategories() - Method in class datamodel.TrainingModel
-
A method that returns the number of categories that a DataModel has Example: We can have X1, X2 and X3 - In that case the method should return 3
- getNumClasses() - Method in interface datamodel.DataModel
-
A method that when implemented should return the number of classes that the DataModel can assume.
- getNumClasses() - Method in class datamodel.TrainingModel
-
A method that returns the number of classes that the DataModel can assume.
- getNumLabels() - Method in class datamodel.categories.ModelCategory
-
A method that returns the total number of labels for this category
- getNumLabels() - Method in class datamodel.classifications.ModelClassfication
-
A method that returns the total number of classifications saved until this point
- getNumLabels() - Method in interface datamodel.Model
-
A method that when implemented shoudl get the number of labels saved inside a Model
- getNumLabels(int) - Method in interface datamodel.DataModel
-
A method that when implemented should return the number of labels a given node has given the node index to be considered.
- getNumLabels(int) - Method in class datamodel.TrainingModel
-
A method that returns the number of labels a given node has given the node index to be considered.
- getPercentageOfEachClass() - Method in class metrics.ConcreteConfusionMatrix
-
This method returns the percentage of appearance of each class in the true classification data.
- getPercentageOfEachClass() - Method in interface metrics.ConfusionMatrix
-
A method that returns an array with the percentage of each real class in the data
- getPercentageOfIndividualClass(int) - Method in class metrics.ConcreteConfusionMatrix
-
This method returns the percentage of appearance of a specific class given its index i
- getPercentageOfIndividualClass(int) - Method in interface metrics.ConfusionMatrix
-
A method that given the index in the confusion matrix, returns the percentage of data with the real class
- getResults() - Method in class parser.facades.OnlinePredictingFacade
-
A method that returns a List of String with the predictions made with the classifier
- getScore() - Method in class metrics.AbstractMultipleCategoryScore
-
A method that returns a List of Doubles with the scores for the multi-class classification.
- getScore() - Method in class metrics.AccuracyScore
-
A method that returns the accuracy score previously calculated.
- getScore() - Method in interface metrics.AverageScore
-
A method that when implemented should return a Double with the score for a multi-class classification such as an accuracy score, a weighted score considering multi-class problems, etc
- getScore() - Method in interface metrics.MultipleScore
-
A method that when implemented should return a List of Doubles with the scores for a multi-class classification as well as a weighted average of those scores
- getScore(int) - Method in class metrics.perclass.AbstractAuxiliaryScores
-
A method to allow the user to get the calculated score for a particular class.
- getScore(int) - Method in interface metrics.perclass.SingleScore
-
A method that when given the index of a class should return a double with the corresponding score for that class
- getSource() - Method in class graph.edge.SimpleWeightedEdge
-
A method that returns the source of the edge
- getSource() - Method in interface graph.edge.WeightedEdge
-
A method that when implemented should return the source (node) where the edge comes from
- getTrainingModel() - Method in class parser.facades.TrainingModelFacade
-
Method that return the DataModel object created and updated after using the methods readLabels and readData.
- getTrueClasses() - Method in class parser.facades.OnlinePredictingFacade
-
A method that returns a List of String with the real classes read
- getWeight() - Method in class graph.edge.SimpleWeightedEdge
-
A method that returns the weight of the edge
- getWeight() - Method in interface graph.edge.WeightedEdge
-
A method that when implemented should return the weight of an edge.
- graph - package graph
-
A package that implements a simple graph library.
- graph - Variable in class graph.search.AbstractMST
-
A Weighted graph to calculate the MST from
- graph.edge - package graph.edge
-
A package that implements the edge class to be used by the SimpleWeightedEdge.
- graph.search - package graph.search
-
This package implements the Kruskal algorithm for MST calculation for the SimpleWeightedGraph
All Classes All Packages


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While IG:dm is built to support all platforms (MacOS, Linux, Windows), there are some known issues you might face when trying to get it running on your Windows or Linux machines (no notable issues on MacOS). Here's a list of them, and possible workarounds.
1. Cannot Install on Windows 10 and Windows 8
There have been cases where the windows installer crashes while being executed with the following error:There are 2 alternatives to solve this problem:
i. Run it as Administrator in Windows 7 compatibility mode. To do this:
ii. Download an older version 2.1.0:
A downside to this is that you would not be able to leverage on the newer feature and updates added to the newer versions.
- Right click on setup file (i.e the IG:dm installer) - Go to "Properties" - Go to the "Compatibility" tab - Click on "Run this program in compatibility mode for:" - Select "Windows 7" - At the bottom tick the checkbox "Run this program as an administrator" - Click the "Apply" button to apply the changes - Then try to run the installer again
ii. Download an older version 2.1.0:
A downside to this is that you would not be able to leverage on the newer feature and updates added to the newer versions.
2. How to run it on Linux
As of version 2.3.1, the Linux version of IG:dm comes as an AppImage which is a format for packaging applications in a way that allows them to run on common Linux-based operating systems, such as RHEL, CentOS, Ubuntu, Fedora, Debian, and derivatives.However, in some cases, you might get the following error when you try to run it on a Linux machine:
This Package is not compatibleTo fix this: You need to convert the IGdm appImage file into an executable file by following the steps here
3. Unable to Login due to 2-Factor Authentication
Although this issue is not specific to any particular platform, it is a common issue, so I feel it might be worth the mention.As of version 2.3.1, IG:dm does not have support for Instagram's two-factor authentication so if you are a user with a 2-factor authentication on, you might find yourself unable to login to IG:dm
How to fix this
A current workaround for this would be to:
disclaimer: If you do not feel comfortable about temporarily disabling two-step authentication on your account, please don't go through with it, and instead find a better alternative :)
- Disable two-step authentication on Instagram and then login to IG:dm - After logging in to IG:dm, re-enable two-step authentication.After doing this, Instagram would recognize your IG:dm device from that point on, and you would not be required to enter the 2-step verification code even if you log out and then log back in with IG:dm.
disclaimer: If you do not feel comfortable about temporarily disabling two-step authentication on your account, please don't go through with it, and instead find a better alternative :)


For and against sacking Unai Emery, Manuel Pellegrini and Marco Silva
by Paul Wilson, Jacob Steinberg, Nick AmesAll three managers are under pressure and could lose their jobs soon. Our writers outline why that would be good and bad
Unai Emery
The situation
Arsenal are winless in their past five Premier League games (drawn 3, lost 2) since a 1-0 victory against Bournemouth in October. They have not kept a clean sheet in any competition since 6 October.
The case for sacking
Emery has never felt like the right man for Arsenal. He is conscious that no real bond has ever been forged with the fans, although he has not necessarily had much help in that regard, and whether he has the charisma to take on a top job in modern-day football is debatable. But those things can be worked through if the results and style of play are good, and Arsenal appear in a muddle. Emery has switched between back threes and fours, veered from high pressing to a more reactive approach, preached the need for more control while only cajoling a handful of 90-minute performances and become ensnared in messy situations around key figures like Granit Xhaka and Mesut Özil. A mid-table finish would be hugely damaging and, if no change is made now, that looks increasingly possible.
The case for keeping
The cost of changing things now makes any mid-season switch a big gamble. By some estimates it would take £15m to sever ties with Emery and his staff, and then there is the expense of bringing someone in with the skill and gravitas to turn things around. A hasty decision would not cut it; giving someone like Freddie Ljungberg the keys for six months would only be a populist call and, while a longer-term appointment might bring a spike in results, this is the time to take stock and decide who can propel Arsenal forward for years. It would be prudent to wait until the end of the season and, in the meantime, hope Emery can thrive in his natural habitat among a beatable Europa League field. As Emery has pointed out, factors like Laurent Koscielny’s protracted departure and the issues befalling Özil and Xhaka have upset the “emotional balance” of his squad and not aided his task. More upheaval would not necessarily bring calmer waters. Nick Ames
Manuel Pellegrini
The situation
West Ham, who have not won since beating Manchester United on 22 September, have picked up only two points from the last 21 available in the Premier League (won 0, drawn 2, lost 5).
The case for sacking
It did not have to be this bad without Lukasz Fabianski. The goalkeeper has been badly missed since suffering a hip injury in September and, unfortunately, the decision to deploy Roberto as his replacement is threatening to define Pellegrini’s reign. The Spaniard was picked by Mario Husillos, West Ham’s director of football, and he is woefully out of his depth. Yet it is not just about Roberto. Husillos was hired on Pellegrini’s insistence and the pair have made costly mistakes in the transfer market (giving the injury-prone Jack Wilshere a three-year deal is unforgivable). Tactically, Pellegrini is inflexible and unable to accept West Ham are in a relegation battle. He has also created a flimsy, indulgent side and an increasingly alarmed hierarchy fear they could be forced to act soon.
The case for keeping
Pellegrini has a wealth of experience and West Ham have not lost all faith in his managerial acumen. There was excitement when the former Manchester City manager arrived at the London Stadium as David Moyes’s replacement in May 2018. His attacking style also seemed in keeping with West Ham’s traditions. There were also promising signs after a poor start last season, with wins over Arsenal, Manchester United and Spurs getting supporters onside. The hope at board level is that results will improve when Fabianski is fit again. It will also cost a lot to sack a manager who has 18 months left on a deal worth £7m a year. Jacob Steinberg
Marco Silva
The situation
Beaten 2-0 at home by rock-bottom Norwich on Saturday. Everton are four points off the teams in the relegation zone and face a daunting run over the next few weeks against Leicester, Liverpool, Chelsea and Manchester United.
The case for sacking
Silva was an initial success at his two previous clubs in England before the improvement proved unsustainable. Everton were warned when appointing Silva that he came with no guarantee but at the time they simply wanted someone with a bit more style and sophistication than Sam Allardyce. On the whole they have been disappointed. Everton have not developed a settled way of playing and have been wildly inconsistent. The season is only 13 matches old and the seven defeats to date have included capitulations to all three promoted clubs. Silva has been backed with money but 15th is a long way from what the club was expecting and the fixture list until the end of the year is horrendous.
The case for keeping
Some Everton fans are of the opinion the club should go straight out and lasso Mauricio Pochettino, forgetting the best time to do that was six or seven years ago when Southampton did it. A manager who has just been to a Champions League final and is hungry for more is unlikely to be in a hurry to align himself with a club that perennially misses out on the elite positions, especially another one in the process of relocating to a new ground. The present Everton manager is a reasonable approximation of what a younger Pochettino had to offer. He may not be moving the club forward very quickly but at some point Everton have to stop chopping and changing, especially when it is not clear they can attract anyone better. Paul Wilson


On a Friday in the middle of February, Michael Hughes, director of the Boston Public Schools Transportation Department, met with seven visiting fellows from Code for America, a new nonprofit organization that matches teams […] Read more
On a Friday in the middle of February, Michael Hughes, director of the Boston Public Schools Transportation Department, met with seven visiting fellows from Code for America, a new nonprofit organization that matches teams […] Read more
On a Friday in the middle of February, Michael Hughes, director of the Boston Public Schools Transportation Department, met with seven visiting fellows from Code for America, a new nonprofit organization that matches teams […] Read more


Tcl_CreateTimerHandler, Tcl_DeleteTimerHandler - call a procedure at a given time
#include <tcl.h>
Tcl_TimerToken
Tcl_CreateTimerHandler(milliseconds, proc, clientData)
Tcl_DeleteTimerHandler(token)
- int milliseconds (in)
-
How many milliseconds to wait before invoking proc.
- Tcl_TimerProc *proc (in)
-
Procedure to invoke after milliseconds have elapsed.
- ClientData clientData (in)
-
Arbitrary one-word value to pass to proc.
- Tcl_TimerToken token (in)
-
Token for previously created timer handler (the return value
from some previous call to Tcl_CreateTimerHandler).
Tcl_CreateTimerHandler arranges for proc to be
invoked at a time milliseconds milliseconds in the
future.
The callback to proc will be made by Tcl_DoOneEvent,
so Tcl_CreateTimerHandler is only useful in programs that
dispatch events through Tcl_DoOneEvent or through Tcl commands
such as vwait.
The call to proc may not be made at the exact time given by
milliseconds: it will be made at the next opportunity
after that time. For example, if Tcl_DoOneEvent is not
called until long after the time has elapsed, or if there
are other pending events to process before the call to
proc, then the call to proc will be delayed.
Proc should have arguments and return value that match
the type Tcl_TimerProc:
typedef void Tcl_TimerProc(ClientData clientData);
The clientData parameter to proc is a
copy of the clientData argument given to
Tcl_CreateTimerHandler when the callback
was created. Typically, clientData points to a data
structure containing application-specific information about
what to do in proc.
Tcl_DeleteTimerHandler may be called to delete a
previously created timer handler. It deletes the handler
indicated by token so that no call to proc
will be made; if that handler no longer exists
(e.g. because the time period has already elapsed and proc
has been invoked then Tcl_DeleteTimerHandler does nothing.
The tokens returned by Tcl_CreateTimerHandler never have
a value of NULL, so if NULL is passed to Tcl_DeleteTimerHandler
then the procedure does nothing.
callback, clock, handler, timer
Copyright © 1995-1997 Roger E. Critchlow Jr.
Copyright © 1990 The Regents of the University of California.
Copyright © 1994-1996 Sun Microsystems, Inc.


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Incontro provides meeting capabilities like
starting a new meeting or joining an already conducted one.
The issue of attendance is paramount for any teacher taking online classes.
Therefore, we intend to apply auto-generated attendance.
Doodling is a way to visualize ideas and learn more quickly.
So, we have added a feature called whiteboard which allows users to write their hand-written notes.
Incontro is an All-in-one solution for video calling, audio calling, screen
sharing, messaging and making personalized notes.


I've been to some Awesome Spots
Let me tell you about these places
Gyeonggi-Do, South Korea
Central Oregon Cascades
Baja, Mexico


The changes since release 6.0.0 are:
The main changes since release 5.0.4 are:
Linux shared library version numbers have been added by setting SHRLIB_VERSION (to 6.0 in this case). So shared object will be libpvData.so.6.0 instead of libpvData.so.
E.g. src/property/alarm.h -> src/property/pv/alarm.h
This facilitates using some IDEs such as Qt Creator.
Requester::message is no longer pure virtual. Default implementation sends string to std::cerr.
A helper function, serializeToVector, has been added which serializes a Serializable object into a standard vector of UInt8s.
Similarly a function deserializeFromVector deserializes a standard vector into a Deserializable object.
A function deserializeFromBuffer deserializes a ByteBuffer into a Deserializable object.
On creating a Structure or Union the field names are now validated.
Valid characters for a field name are upper or lowercase letters, numbers and underscores and intial numbers are invalid, i.e. names must be of the form [A-Za-z][A-Za-z0-9]*.
Includes cross-compiling MinGW on Linux.
The changes since release 5.0.3 are:
C++ bitset serialization was not consistent with the C++ deserialization and Java code in some instances (depending on the endianness of the serializer and deserializer) when the number of bits was 56-63 modulo 64. C++ serialization has been fixed.
Fix exposed issue in deserialization on 32-bit platforms which has also been corrected.
If n, n1 and n2 words are used to store the values of the bitsets bitset, bitset1 and bitset2 respectively then max(n, min(n1,n2)) words are needed to store bitset.or_(bitset1, bitset2).
Previously min(n1,n2) words were used and the result would be truncated in some instances. This has been fixed.
The only change since release 5.0.2 is:
A PVUnion whose stored value was null was serialized without checking whether the buffer had sufficient capacity. This has been fixed by calling ensureBuffer().
The main changes since release 4.0.3 are:
The following methods have been removed from PVStructure
Use template getSubField instead, e.g. use
getSubField< PVInt >(fieldName)
in place of
getIntField(fieldName)
Convert copy methods where moved and replaced with methods on PVField classes, i.e.
PVField::copy(const PVField& from)
Methods
PVField::copyUnchecked(const PVField& from)
were added to allow unchecked copies, to gain performance where checked are not needed (anymore).
In addition: - isCompatibleXXX methods were removed in favour of Field::operator==. - equals methods were remove in favour of PVField::operator==. - operator== methods where moved to pvIntrospect.h and pvData.h
Before this method, depending on types for to and from, sometimes did a shallow copy, i.e. just made to shared_ptr for to share the same data as from. Now it always copies between the subfield of to and from.
PVStructure has a new template member
getSubFieldT(std::string const &fieldName)
that is like getSubField except that it throws a runtime_error instead of returning null.
This was mainly used in the implementation of getSubField. With a change to the latter, findSubField was removed.
New steam operators are available for Field and PVField. Before to print a Field (or any extension) or a PVField (or any extension) it was necessary to have code like:
void print(StructureConstPtr struc, PVStructurePtr pv)
{
if(struc) {
cout << *struc << endl;
} else {
cout << "nullptr\n"
}
if(pv) {
cout << *.struc << endl;
} else {
cout << "nullptr\n"
}
}
Now it can be done as follows:
void print(StructureConstPtr struc, PVStructurePtr pv)
{
cout << struc << endl;
cout << pv << endl;
}
A new template getField method has been added to Structure
template<typename FT-> std::tr1::shared_ptr< const FT-> getField(std::string const &fieldName) const
Can be used, for example, as follows:
StructurePtr tsStruc = struc->getField<Structure>("timeStamp");
Certain static builds (in particular Windows builds) of applications using pvData had issues due to PVStructure::DEFAULT_ID being used before being initialised. This has been fixed.
createRequest could cause a SEGFAULT if passed a bad argument. This has been changed so the it returns a null pvStructure and provides an error.
The main changes since release 3.0.2 are:
PVScalarArray, PVStructureArray, and PVUnionArray all enforce COW (Copy On Write) Semantics. In order to limit memory usage the storage for raw data is managed via a new sharedvector facility. This allows multiple instances of array data to use the shared raw data. COW is implemented via sharedvectors of const data, i. e. data that can not be modified.
This is replaced by std::string.
In timeStamp nanoSeconds is changed to nanoseconds.
In valueAlarm hysteresis is changed to hysteresis
pvData.h and pvIntrospect no longer defines toString Instead they have stream support. pvIntrospect uses method dump and pvData uses dumpValue. For example:
PVDoublePtr pvValue;
String buffer;
pvValue->toString(&buffer);
cout << buffer << endl;
buffer.clear();
pvValue->getField()->toString(&buffer);
cout << buffer << evdl;
is replaced by
PVDoublePtr pvValue;
cout << *pvValue << endl
cout << *pvValue->getField() << endl;
There are two new basic types: union_t and unionArray.
A union is like a structure that has a single subfield. There are two flavors:
The field type can be dynamically changed.
This consists of createRequest and pvCopy. createRequest was moved from pvAccess to here. pvCopy is moved from pvDatabaseCPP and now depends only on pvData, i.e. it no longer has any knowledge of PVRecord.
This is for is for use by code that implements pvAccess monitors. This is prototype and is subject to debate.
This was the starting point for RELEASE_NOTES


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Bans the use of specific functions.
At this time, there is no way to disable global methods with this rule.
A list of ['object', 'method']
pairs which ban object.method()
.
"ban": [true, ["console", "log"], ["someObject", "someFunction"]]
{
"type": "list",
"listType": {
"type": "array",
"arrayMembers": [
{
"type": "string"
},
{
"type": "string"
}
]
}
}