Thesis Project Outline
| For my thesis project, I will be exploring the area of interactive design tools by the means of creating an interactive table top interface and explore how it can augment the overall user experience. The initial idea for this project came from a previous project I had discovered online which evolved creating a box with the inside lined with tinfoil, the foil would then be wired to an Arduino from which it can detect movement from anyone who places their hand near the foil. The Arduino can then transfer the readings into a Processing sketch to control graphics or sound. I wish to further iterate on this idea by creating smaller foil panels and attach them to the underside of a table in order to make an interactive table that could be used as a computer interface for games, design applications or music applications. The goal of the project is to bridge the void between experienced tech users and beginners.
|
|


DoctorX welcomes you {{ current_user.username }}!
{% else %}Welcome To DoctorX
{% endif %}Skip the travel! Take Online Doctor Consultation
{% if not current_user.is_authenticated %} {% endif %}{# #}
We hand-pick doctors for you, onboarded after a multi-step screening process.
Our Doctors listen to you patiently and only prescribe what's necessary.
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“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#“You made it so simple. My new site is so much#} {# faster and easier to work with than my old site. I just choose the page, make the change and click save.#} {#
#} {#Designer
#} {#


Guidance
These tables give detailed information on planned local authority education spending, in a form which enables easier comparison.
PDF , 117KB , 4 pages
MS Excel Spreadsheet , 2.19MB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
MS Excel Spreadsheet , 22.6KB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
MS Excel Spreadsheet , 604KB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
MS Excel Spreadsheet , 598KB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
PDF , 190KB , 10 pages
MS Excel Spreadsheet , 2.16MB
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
All tables are based on planned expenditure data recorded by local authorities on their Section 251 budget statements for 2013 to 2014 at 4 September 2013.
Further information is provided in the information document on this page.
Published: 1 October 2013
From: Department for Education
Part of: Section 251 documents


Bystanders Rejoice as Bundles of Currency Rains From Kolkata Building During DRI Search | Watch
It is being alleged that the sum of notes dumped on the road amounts to over Rs 3 lakh.
New Delhi: Bystanders on the Bentinck Street in Kolkata were showered with bundles of crisps currency notes on Wednesday afternoon when the Directorate of Revenue Intelligence (DRI) officials were conducting a search at a private office in the city’s central business district.
In a video that surfaced on the internet, dozens of notes of denomination of Rs 100, Rs 500 and even Rs 2000, were seen thrown out of the window of the sixth-floor of the building, from the office of Hoque Merchantile Pvt Ltd.
It is being alleged that the sum of notes dumped on the road amounts to over Rs 3 lakh.
Officials of the DRI told news agency PTI that they were conducting a raid at the office of the import-export company for alleged evasion of duty. They said that when the team arrived for search, the office was locked from inside.
However, it is still being investigated whether there was a relation between the search operations and the shower of currency notes on the street below, PTI sources stated.
The police are conducting further investigation in the matter.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 20 Nov 2019 Bystanders Rejoice as Bundles of Currency Rains From Kolkata Building During DRI Search | Watch
- 18 Nov 2019 TMC MP Nusrat Jahan, Admitted to Hospital For Breathing Problems, Returns Home Safe
- 13 Nov 2019 West Bengal: BJP Workers Protest Near KMC Office, Demand 'Dengue Free' Kolkata
- 10 Nov 2019 Strange Respite as Cyclone 'Bulbul' Clears Sky, Helps Improve Kolkata Air Quality
Comments - Join the Discussion


[1]
the hotel restaurant for dinner and it was a pity.
[2]
but as soon as we stopped the motorbike which was a pity.


at(index_or_name)
Returns the contents of the given field.
The parameter can be a field index or a field name.
done
Close and free the result. This must be called on
each result. Failure to do so will cause memory leaks and open queries with
the database server.
fields
Returns a list of field names in the result.
first
Move the cursor to the first record.
foreach([Object], value, message)
Loops over the records in the result starting at either the first result
(if the cursor has never been moved) or its current location if moved. i.e.
r := conn query("SELECT * FROM people")
r foreach(r, r at(1))
The above would start at the first row, however, you can move around in the
result set and then foreach would pickup where you left off, for instance, say
you wanted to skip the first three rows:
r := conn query("SELECT * FROM people")
r seek(4)
r foreach(r, r at (1))
The above would start at the record #4, not at the beginning.
The optional Object parameter would cause a decendent of DBIRecord to be
populate instead of the index being set. This allows for advanced
functionality. Please see `DBIRecord' for further information and an example.
last
Move the cursor to the last record.
next
Move the cursor to the next record.
populate(object)
Populates a decendent of DBIRecord with the current record's contents.
See `DBIRecord' for further explanation and an example.
position
Return the current row's position (or index).
previous
Move the cursor to the previous record.
seek(row_number)
Move the cursor to the nth record.
size
Returns the number of rows available.
|


| Developer Spotlight |
Sandhya Ashok of Bangalore, India, has been a member of the JXTA community since August 2001. She currently performs the role of contributor for the Voice over P2P (VoP2P) project. She first learned about JXTA while searching for an apt technology to develop a P2P solution for the 'legal professionals' community on behalf of a client. The initial curiosity turned into deep interest and now she spends around 50% of her time on JXTA and related technologies. Sandhya also contributed as one of the technical reviewers for Sing Li's book "Early Adopter - JXTA" and has learned a lot in the process. She works with a startup software venture named Universal IT SolutionS and is looking forward to riding the JXTA wave to growth. Sandhya believes that technologies like JXTA and WebServices are natural culmination of man's inherent liking for communication and exchange without middle men (Servers, Websites etc.). She is confident that JXTA is a technology to watch and it would revolutionize the way corporations and individuals interact, in the near future. You can contact Sandhya at<EMAIL_ADDRESS>or on the Project JXTA discuss mailing list. |


However subtraction will never overflow when both operands are byte or short values, because the result will always fit inside an int. Additionally subtraction on int numbers greater than or equal to 0 will never overflow. Therefore this inspection tries not to warn in those cases. Methods that always return zero or greater can be specified in this inspection's settings.
Use the table below to specify methods which are safe to use inside a subtraction. Methods are safe when they return an int value that is always greater than or equal to 0.


Usage: docker trust signer add OPTIONS NAME REPOSITORY [REPOSITORY...]
Add a signer
Options:
--key
list Path to the signer's public key file


undefined
term Artificial Intelligence) refers to computers being able to perform many human-like cognitive tasks
#definition
Lev Manovich June 2019
Cite: (Manovich, 2019)
FTag: Manovich-2019


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bottleneck¶ ↑
Bottleneck is a tiny and efficient Task Scheduler and Rate Limiter for Node.JS and the browser. When dealing with services with limited resources, it's important to ensure that they don't become overloaded.
Bottleneck is the easiest solution as it doesn't add much complexity to the code.
It's battle-hardened, reliable and production-ready. It's used on a large scale in both private companies and open source software.
Install¶ ↑
Node npm install bottleneck
Browser bower install bottleneck
or
html <script type="text/javascript"
src="bottleneck.min.js"></script>
Example¶ ↑
Most APIs have a rate limit. For example, the Reddit.com API limits programs to 1 request every 2 seconds.
var Bottleneck = require("bottleneck"); // Skip when browser side // Never more than 1 request running at a time. // Wait at least 2000ms between each request. var limiter = new Bottleneck(1, 2000);
Instead of doing js someAsyncCall(arg1, arg2, argN, callback);
You do js limiter.submit(someAsyncCall, arg1, arg2, argN,
callback);
And now you can be assured that someAsyncCall will abide
by your rate guidelines!
Promise users can use schedule().
Bottleneck builds a queue of requests and executes them as soon as possible. All the requests will be executed in the order that they were received. See priorities if you wish to alter this behavior.
This is sufficient for the vast majority of applications. Read the Gotchas section and you're good to go. Or keep reading to learn about all the fine tuning available for the more complex use cases.
Docs¶ ↑
Constructor¶ ↑
var limiter = new Bottleneck(maxConcurrent, minTime, highWater, strategy, rejectOnDrop);
-
maxConcurrent
: How many requests can be running at the same time. Default:0
(unlimited) -
minTime
: How long to wait after launching a request before launching another one. Default:0
ms -
highWater
: How long can the queue get? Default:-1
(unlimited) -
strategy
: Which strategy to use if the queue gets longer than the high water mark. Default:Bottleneck.strategy.LEAK
. -
rejectOnDrop
: Whentrue
if a job is dropped its callback will be called with the first argument set to anError
object. If the job was a promise it will be rejected. Default:false
submit()¶ ↑
Adds a request to the queue.
limiter.submit(someAsyncCall, arg1, arg2, argN, callback);
It returns true
if the strategy was executed.
schedule()¶ ↑
Adds a request to the queue. This is the Promise version of
submit
. It uses the bluebird package if
installed and otherwise uses the built-in Promise object.
var fn = function(arg1, arg2, argN) { return httpGet(arg1, arg2, argN); // Here httpGet() returns a promise }; limiter.schedule(fn, arg1, arg2, argN); // This also returns a promise, for chaining
In plain language, schedule
takes a function fn and a list of
arguments. Fn must return a promise. schedule
returns a
promise that will be executed according to the rate limits. It's safe
to mix submit
and schedule
in the same limiter.
Here's another example, this time using the ECMAScript 7 syntax:
// fn returns a promise function fn (url) { return http.get(url).then(response => console.log(response.body)); } limiter.schedule(fn, url);
It's also possible to replace the Promise library used:
var Bottleneck = require("bottleneck"); Bottleneck.prototype.Promise = myPromiseLibrary; var limiter = new Bottleneck(maxConcurrent, minTime, highWater, strategy, rejectOnDrop);
Gotchas¶ ↑
-
When using
submit
, if a callback isn't necessary, you must passnull
or an empty function instead. It will not work if you forget to do this. -
Make sure that all the requests will eventually complete by calling their callback (or resolving/rejecting in the case of promises). Again, even if you
submit
ted your request with anull
callback , it still needs to call its callback. This is very important if you are using amaxConcurrent
value that isn't0
(unlimited), otherwise those uncompleted requests will be clogging up the limiter and no new requests will be getting through. It's safe to call the callback more than once, subsequent calls are ignored. -
If you want to rate limit a synchronous function (`console.log(), for example), you must wrap it in a closure to make it asynchronous. See this example.
Priorities¶ ↑
Every request has a priority level. It's 5
for every
request added with submit
/schedule
. There exists
a variant of those functions that lets you set the priority of a request.
Priority 0
is the most important and 9
is the
least important.
More important requests will always be executed before less important ones. For requests with the same priority level, the oldest one is executed first.
submitPriority()¶ ↑
limiter.submitPriority(priority, someAsyncCall, arg1, arg2, argN, cb);
schedulePriority()¶ ↑
limiter.schedulePriority(priority, fn, arg1, arg2, argN);
Strategies¶ ↑
A strategy is a simple algorithm that is executed every time adding a
request would cause the number of queued requests to exceed
highWater
. See Events.
Bottleneck.strategy.LEAK¶ ↑
When submitting a new request, if the queue length reaches
highWater
, drop the oldest request with the lowest priority.
This is useful when requests that have been waiting for too long are not
important anymore. If all the queued up requests are more important than
the one being added, it won't be added.
Bottleneck.strategy.OVERFLOW_PRIORITY¶ ↑
Same as LEAK
, except that it will only drop requests that are
less important than the one being added. If all the queued up
requests are as important or more than the new one, it won't be added.
Bottleneck.strategy.OVERFLOW¶ ↑
When submitting a new request, if the queue length reaches
highWater
, do not add the new request. This strategy totally
ignores priority levels.
Bottleneck.strategy.BLOCK¶ ↑
When submitting a new request, if the queue length reaches
highWater
, the limiter falls into “blocked mode”. All queued
requests are dropped and no new requests will be accepted until the limiter
unblocks. It will unblock after penalty
milliseconds have
passed without receiving a new request. penalty
is equal to
15 * minTime
(or 5000
if minTime
is
0
) by default and can be changed by calling
changePenalty()
. This strategy is ideal when bruteforce
attacks are to be expected. This strategy totally ignores priority levels.
nbQueued()¶ ↑
limiter.nbQueued(priority);
priority
is optional. Without that argument, it'll return
the total number of requests waiting to be executed, otherwise it'll
only count the number of requests with that specific priority.
nbRunning()¶ ↑
limiter.nbRunning();
Returns the number of requests currently running in the limiter.
check()¶ ↑
limiter.check();
If a request was added right now, would it be run immediately? Returns a boolean.
isBlocked()¶ ↑
limiter.isBlocked();
Is the limiter currently in “blocked mode”? Returns a boolean.
stopAll()¶ ↑
limiter.stopAll(interrupt);
Cancels all queued up requests and every added request will be automatically rejected.
-
interrupt
: If true, prevent the requests currently running from calling their callback when they're done. Default:false
Events¶ ↑
Event names: empty
, idle
, dropped
.
limiter.on('empty', function () { // This will be called when the nbQueued() drops to 0. })
limiter.on('idle', function () { // This will be called when the nbQueued() drops to 0 AND there is nothing currently running in the limiter. })
limiter.on('dropped', function (dropped) { // This will be called when a strategy was triggered. // The dropped request is passed to this callback. })
Use removeAllListeners()
with an optional event name as first
argument to remove listeners.
Note: It's possible to set multiple callbacks to the same event name.
changeSettings()¶ ↑
limiter.changeSettings(maxConcurrent, minTime, highWater, strategy);
Same parameters as the constructor, pass null
to skip a
parameter and keep it to its current value.
Note: Changing maxConcurrent
and
minTime
will not affect requests that have already been
scheduled for execution.
For example, imagine that three 60-second requests are submitted at time T
with maxConcurrent = 0
and minTime = 2000
. The
requests will be launched at T seconds, T+2 seconds and T+4 seconds
respectively. If right after adding the requests to Bottleneck, you were to
call limiter.changeSettings(1);
, it won't change the fact
that there will be 3 requests running at the same time for roughly 60
seconds. Once again, changeSettings
only affects requests that
have not yet been added.
This is by design, as Bottleneck made a promise to execute those requests according to the settings valid at the time. Changing settings afterwards should not break previous assumptions, as that would make code very error-prone and Bottleneck a tool that cannot be relied upon.
changePenalty()¶ ↑
limiter.changePenalty(penalty);
This changes the penalty
value used by the BLOCK
strategy.
changeReservoir(), incrementReservoir()¶ ↑
limiter.changeReservoir(reservoir); limiter.incrementReservoir(incrementBy);
-
reservoir
: How many requests can be executed before the limiter stops executing requests. Default:null
(unlimited)
If reservoir
reaches 0
, no new requests will be
executed until it is no more 0
chain()¶ ↑
-
limiter
: If another limiter is passed, tasks that are ready to be executed will be added to that other limiter. Default:null
(none)
Suppose you have 2 types of tasks, A and B. They both have their own
limiter with their own settings, but both must also follow a global limiter
C: js var limiterA = new Bottleneck(...some settings...); var
limiterB = new Bottleneck(...some different settings...); var limiterC =
new Bottleneck(...some global settings...); limiterA.chain(limiterC);
limiterB.chain(limiterC); // Requests added to limiterA must follow the A
and C rate limits. // Requests added to limiterB must follow the B and C
rate limits. // Requests added to limiterC must follow the C rate limits.
Execution guarantee¶ ↑
Bottleneck will execute every request in order of priority first, oldest to youngest within each priority level. You can be certain that they will all eventually be executed as long as:
-
highWater
is set to-1
(default), which prevents the strategy from ever being run OR you never exceed thehighWater
. -
maxConcurrent
is set to0
(default) OR all requests call the callback eventually (in the case of promises, they must be resolved or rejected eventually). -
reservoir
isnull
(default).
Cluster¶ ↑
The Cluster
feature of Bottleneck manages many limiters
automatically for you. It creates limiters dynamically and transparently.
Let's take a DNS server as an example of how Bottleneck can be used.
It's a service that sees a lot of abuse and where incoming DNS requests
need to be rate limited. Bottleneck is so tiny, it's perfectly fine to
create one limiter for each origin IP, even if it means creating thousands
and thousands of limiters. The Cluster
mode is perfect for
this use case. We can create one cluster and then use the origin IP to rate
limit each IP independently. Each call with the same key will be routed to
the same underlying limiter. A cluster is created exactly like a limiter:
var cluster = new Bottleneck.Cluster(maxConcurrent, minTime, highWater, strategy);
The cluster is then used with the .key(str)
method:
// In this example, the key is an IP cluster.key("<IP_ADDRESS>").submit(someAsyncCall, arg1, arg2, cb);
key()¶ ↑
-
str
: The key to use. All calls submitted with the same key will use the same limiter. Default:""
The return value of .key(str)
is a limiter. If it doesn't
already exist, it is created on the fly. Limiters that have been idle for a
long time are deleted to avoid memory leaks.
stopAutoCleanup()¶ ↑
Calling stopAutoCleanup()
on a cluster will turn off its
garbage collection, so limiters for keys that have not been used in over
5 minutes will NOT be deleted anymore. It can be reenabled
by calling startAutoCleanup()
. The 5 minutes
figure can be modified by calling changeTimeout()
.
startAutoCleanup()¶ ↑
Reactivate the cluster's garbage collection for limiters (in the cluster) that have been inactive for over 5 minutes.
changeTimeout()¶ ↑
-
timeout
: The expiration time for unused limiters, in milliseconds. By default it is300000
(5 minutes).
When autocleanup is enabled, limiters having not been used in the last
timeout
milliseconds will be deleted to avoid memory leaks.
deleteKey()¶ ↑
-
str
: The key for the limiter to delete.
Manually deletes the limiter at the specified key. This can be useful when the auto cleanup is turned off.
all()¶ ↑
-
cb
: A function to be executed on every limiter in the cluster.
For example, this will call stopAll()
on every limiter in the
cluster:
cluster.all(function(limiter){ limiter.stopAll(); });
keys()¶ ↑
Returns an array containing all the keys in the cluster.
Rate-limiting synchronous functions¶ ↑
Most of the time, using Bottleneck is as simple as the first example above. However, when Bottleneck is used on a synchronous call, it (obviously) becomes asynchronous, so the returned value of that call can't be used directly. The following example should make it clear why.
This is the original code that we want to rate-limit: js var req =
http.request(options, function(res){ //do stuff with res });
req.write("some string", "utf8"); req.end();
The following code snippet will NOT work, because
http.request
is not executed synchronously therefore
req
doesn't contain the expected request object. js
// DOES NOT WORK var req = limiter.submit(http.request, options,
function(res){ //do stuff with res }); req.write("some string",
"utf8"); req.end();
This is the right way to do it: js limiter.submit(function(cb){ var
req = http.request(options, function(res){ //do stuff with res
cb(); }); req.write("some string", "utf8");
req.end(); }, null);
Contributing¶ ↑
This README file is always in need of better explanations and examples. If things can be clearer and simpler, please consider forking this repo and submitting a Pull Request, or simply open an issue.
Suggestions and bug reports are also welcome.


|
ActiveTcl User Guide
|
||
Tcl_AsyncCreate, Tcl_AsyncMark, Tcl_AsyncInvoke, Tcl_AsyncDelete, Tcl_AsyncReady - handle asynchronous events
#include <tcl.h>
Tcl_AsyncHandler
Tcl_AsyncCreate(proc, clientData)
Tcl_AsyncMark(async)
int
Tcl_AsyncInvoke(interp, code)
Tcl_AsyncDelete(async)
int
Tcl_AsyncReady()
These procedures provide a safe mechanism for dealing with asynchronous events such as signals. If an event such as a signal occurs while a Tcl script is being evaluated then it isn't safe to take any substantive action to process the event. For example, it isn't safe to evaluate a Tcl script since the interpreter may already be in the middle of evaluating a script; it may not even be safe to allocate memory, since a memory allocation could have been in progress when the event occurred. The only safe approach is to set a flag indicating that the event occurred, then handle the event later when the world has returned to a clean state, such as after the current Tcl command completes.
Tcl_AsyncCreate, Tcl_AsyncDelete, and Tcl_AsyncReady are thread sensitive. They access and/or set a thread-specific data structure in the event of an --enable-thread built core. The token created by Tcl_AsyncCreate contains the needed thread information it was called from so that calling Tcl_AsyncMark(token) will only yield the origin thread into the AsyncProc.
Tcl_AsyncCreate creates an asynchronous handler and returns a token for it. The asynchronous handler must be created before any occurrences of the asynchronous event that it is intended to handle (it is not safe to create a handler at the time of an event). When an asynchronous event occurs the code that detects the event (such as a signal handler) should call Tcl_AsyncMark with the token for the handler. Tcl_AsyncMark will mark the handler as ready to execute, but it will not invoke the handler immediately. Tcl will call the proc associated with the handler later, when the world is in a safe state, and proc can then carry out the actions associated with the asynchronous event. Proc should have arguments and result that match the type Tcl_AsyncProc:
typedef int Tcl_AsyncProc( ClientData clientData, Tcl_Interp *interp, int code);
The clientData will be the same as the clientData argument passed to Tcl_AsyncCreate when the handler was created. If proc is invoked just after a command has completed execution in an interpreter, then interp will identify the interpreter in which the command was evaluated and code will be the completion code returned by that command. The command's result will be present in the interpreter's result. When proc returns, whatever it leaves in the interpreter's result will be returned as the result of the command and the integer value returned by proc will be used as the new completion code for the command.
It is also possible for proc to be invoked when no interpreter is active. This can happen, for example, if an asynchronous event occurs while the application is waiting for interactive input or an X event. In this case interp will be NULL and code will be 0, and the return value from proc will be ignored.
The procedure Tcl_AsyncInvoke is called to invoke all of the handlers that are ready. The procedure Tcl_AsyncReady will return non-zero whenever any asynchronous handlers are ready; it can be checked to avoid calls to Tcl_AsyncInvoke when there are no ready handlers. Tcl calls Tcl_AsyncReady after each command is evaluated and calls Tcl_AsyncInvoke if needed. Applications may also call Tcl_AsyncInvoke at interesting times for that application. For example, Tcl's event handler calls Tcl_AsyncReady after each event and calls Tcl_AsyncInvoke if needed. The interp and code arguments to Tcl_AsyncInvoke have the same meaning as for proc: they identify the active interpreter, if any, and the completion code from the command that just completed.
Tcl_AsyncDelete removes an asynchronous handler so that its proc will never be invoked again. A handler can be deleted even when ready, and it will still not be invoked.
If multiple handlers become active at the same time, the handlers are invoked in the order they were created (oldest handler first). The code and the interpreter's result for later handlers reflect the values returned by earlier handlers, so that the most recently created handler has last say about the interpreter's result and completion code. If new handlers become ready while handlers are executing, Tcl_AsyncInvoke will invoke them all; at each point it invokes the highest-priority (oldest) ready handler, repeating this over and over until there are no longer any ready handlers.
It is almost always a bad idea for an asynchronous event handler to modify the interpreter's result or return a code different from its code argument. This sort of behavior can disrupt the execution of scripts in subtle ways and result in bugs that are extremely difficult to track down. If an asynchronous event handler needs to evaluate Tcl scripts then it should first save the interpreter's result plus the values of the variables errorInfo and errorCode (this can be done, for example, by storing them in dynamic strings). When the asynchronous handler is finished it should restore the interpreter's result, errorInfo, and errorCode, and return the code argument.
asynchronous event, handler, signal
Copyright © 1989-1993 The Regents of the University of California. Copyright © 1994-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


| {% icon "Checkmark" %} Good For: | {% icon "Clear" %} Not So Good For: |
|---|---|
| Announcements that are worthy of grabbing attention or celebrating, such as: | Emails that a user may receive multiple times or emails with a negative connotation, such as: |
| New product feature | New answers |
| Welcome to Teams | Job recommendations |
| Welcome to Talent | Out-of-region applicants |
| You’ve reached 10k reputation | Your admin privileges have been revoked |


bschiffthaler.github.io/fg-course
- Using the files in
/public/blast_results/
- Pick one of the subsets
- Load the output from BLAST in R
- Analyze the taxonomy of the best hits using the taxonomizr package: taxonomizr
- The database for taxonomy is here
/public/taxdb.sql
. Please do not perform database setup, it'll take 5+ hours and use 60+ GB of data.
- The choice of methods, presentation of results is left to you.


FinderAction
This class provides action methods for Finder. This class is Mixined to "Finder" class
Static Member Summary
| Static Public Members | ||
| public static get |
click: * |
|
| public static get |
count: * |
|
| public static get |
text: * |
|
| public static get |
value: * |
Static Method Summary
| Static Public Methods | ||
| public static |
|
|
| public static |
setChecked(bool: *): string |
|
| public static |
setSelected(bool: *): string |
|
| public static |
|
|
| public static |
|
Method Summary
| Public Methods | ||
| public |
Get a attribute of element which is found first by Finder. |
|
| public |
Set "checked" property true on all elements which is found by Finder |
|
| public |
Alias of "click" |
|
| public |
Click an element which is found first by Finder |
|
| public |
Get a count of elements which is found by Finder. |
|
| public |
|
|
| public |
fillIn(val: *): * Alias of "setValue" |
|
| public |
|
|
| public |
Set "selected" property true on element which is found by Finder |
|
| public |
Set given text to textContent of all elements which is found by Finder |
|
| public |
Set given value to value of all elements which is found by Finder |
|
| public |
text(): * |
|
| public |
Set "checked" property true on all elements which is found by Finder |
|
| public |
Get a value of element which is found first by Finder. |
Static Public Members
public static get click: * source
public static get count: * source
public static get text: * source
public static get value: * source
Static Public Methods
Public Methods
public attribute(attrName: *): Promise source
Get a attribute of element which is found first by Finder.
Params:
| Name | Type | Attribute | Description |
| attrName | * |
public fillIn(val: *): * source
Alias of "setValue"
Params:
| Name | Type | Attribute | Description |
| val | * |
Return:
| * |
public setText(text: *): Promise source
Set given text to textContent of all elements which is found by Finder
Params:
| Name | Type | Attribute | Description |
| text | * |
public setValue(val: *): Promise source
Set given value to value of all elements which is found by Finder
Params:
| Name | Type | Attribute | Description |
| val | * |


Save big money on Lego James Bond Aston Martin, Hogwarts Castle and Ultimate Millennium Falcon in the John Lewis Black Friday deals
Three of the most impressive Lego sets of all time, up to 25% off
by Matthew BoltonJohn Lewis' Black Friday deals are a smorgasbord of delights, and includes big money off some huge, iconic Lego sets. Whichever giant film franchise you're into, there's an astounding collectible set that's perfect for you.
For the Bond fans, there's the Aston Martin DB5 complete with gadgets including bullet-proof screen, machine guns, tyre shredders, rotating number plate and, of course, ejector seat.
For Star Wars stans, there's a rare discount on the Ultimate Collector's Seres Millenium Falcon, which is the biggest Lego set ever sold in terms of number of pieces, and creates a mind-blowing ship that's to scale with Lego minifigs, including various rooms inside the ship.
And finally, there's the Lego Harry Potter Hogwarts Castle showpiece, which recreates the entire castle as seen in the movies. Brilliantly, it's built to microfigure scale (really tiny Lego figures, basically), and comes with loads of little characters, so you really get a sense of the size and detail.
LEGO Creator James Bond Aston Martin DB5: £103.99 (was £129.98) | John Lewis
Save £25 - This John Lewis Black Friday deal gives you a 20% discount on this impressive replica model of Agent 007’s iconic 1964 sports car. Suitable for ages 16-plus, it comes with a wealth of authentic details and functioning gadgetry. Awesome.
VIEW DEAL
LEGO Harry Potter Hogwarts Castle: £279.99 (was £349.99) | John Lewis
Save £70 - Grab this highly detailed LEGO Harry Potter collectable set with a cool 20% discount at John Lewis. It has over 6,000 pieces, with towers, turrets, chambers, classrooms, creatures, the Whomping Willow and Hagrid´s hut and a host more iconic features.
VIEW DEAL
LEGO Star Wars Ultimate Collector Series Millennium Falcon: £548.67 (was £645.49) | John Lewis
Save £96.80 - There are over 7,500 pieces and four classic crew mini figures (Han Solo, Chewbacca, Princess Leia and C-3PO) in this Star Wars LEGO set. It’s one of the largest, most detailed LEGO models ever created, and you can get it with a 15% discount now with this John Lewis Black Friday deal.
VIEW DEAL
Expect to see a lot more Lego deals over Black Friday for lower-priced sets, but if having a spectacular once-in-a-lifetime Lego build takes you fancy, we doubt you'll see better priced on these particular sets than this.
- Amazon UK Black Friday Deals
- Argos Black Friday sale
- AO.com Black Friday sale
- Currys Black Friday sale
- Dell UK Black Friday sale
- eBay UK Black Friday sale
- Very Black Friday sale
- Lovehoney UK Black Friday sale
- Goldsmiths Black Friday sale
- John Lewis Black Friday sale
- Le Creuset Black Friday sale
- Nike Black Friday sale
- Schuh Black Friday sale
- The White Company White Weekend Sale
- Amazon US Black Friday Deals
- Walmart Black Friday sale
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- Dell US Black Friday sale
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public class EightFlagsIntEncoder extends ChunksIntEncoder
ChunksIntEncoder
which encodes data in chunks of 8. Every group starts with a single
byte (called indicator) which represents 8 - 1 bit flags, where the value:
VInt8IntEncoder
, and the
encoded bytes follow the indicator.
value-2
, which saves some more bits.
DGapIntEncoder
)
encodeQueue
,
encodeQueueSize
,
encoder
,
indicator
,
ordinal
out
| Constructor and Description |
|---|
EightFlagsIntEncoder
()
|
| Modifier and Type | Method and Description |
|---|---|
IntDecoder
|
createMatchingDecoder
()
Returns an
IntDecoder
which matches this encoder.
|
void
|
encode
(int data)
Encodes an integer to the output stream given in
reInit
|
String
|
toString
()
|
close
,
encodeChunk
,
reInit
public void encode(int data) throws IOException
IntEncoder
reInit
encode
in class
IntEncoder
IOException
public IntDecoder createMatchingDecoder()
IntEncoder
IntDecoder
which matches this encoder. Every encoder
must return an
IntDecoder
and
null
is not a valid
value. If an encoder is just a filter, it should at least return its
wrapped encoder's matching decoder.
NOTE: this method should create a new instance of the matching decoder and leave the instance sharing to the caller. Returning the same instance over and over is risky because encoders and decoders are not thread safe.
createMatchingDecoder
in class
IntEncoder


Director of Product at Cognitive3D
Blog at Deadliftt
Product at Awake Labs
Co-Founder at Startup Storm
Marketing at Beaux
Intern at Mobify
Student at Sauder School of Business
Twitter LinkedIn Goodreads


🌯 My Identity & Values 🌯
Cultural Influences
I was brought up in a family of 6 with a very caring, empathatic mother and a hard working, practical minded father. My father's parents were Welsh migrants who established a large and prosperous family in New Zealand as a result of their own decision to take a risk and work hard to start a new life in a foreign country. My mother's family were from Poland and Russia, they were forced to move initially to Australia and onwards to New Zealand due to racial and political tension in their homelands prior to WW2. Because of what they had to do to create a new life for themselves and their family, my family's background inspires my values of entrepreneurship and risk taking.
Growing up as the youngest of 4 children was a big influence on my values and identity. I was constantly looking up to my older brothers and their friends, trying to emulate them and get involved in their activities.
My parents always taught us to be self-sufficient; they only did things for us if we knew how to do them ourselves, so we grew up learning to cook, clean up after ourselves, organize our schedules, do laundry, and so on.Also, my parents were both working full time, so we would normally have to find our way to and from school, sports practices, or other extra curricular activities. This part of my upbringing helped form my value of independence.
I was heavily influenced by my family's sporting endeavors, whether it was my father playing and coaching rugby, taking me to play golf, or my mother playing and coaching softball and leading teams to victory; exposure to many different disciplines of sport taught me a lot of the values I hold today and helped form my identity.
My Values, Strengths & Development Areas
| Values: | Independence | Integrity | Entrepreneurship | Inclusivity | Contribution | Risk Taking |
|---|---|---|---|---|---|---|
| Strengths: | Empathising | Conceptulising | Coaching | Problem Solving | Influencing | Decision Making |
| Development Areas: | Perfectionism | Procrastination | Delivering | Overley Outcome Oriented | Commercial Acumen |
Strengths & Obstacles In My Learning Journey
Problem Solving | Decision Making | Brainstorming
These strengths will help me when i hit roadblocks which i am required to find solutions for, i will be able to use problem solving techniques to get to the bottom of the issue, brainstorm for solutions and make sound decisions thereafter.


{% extends "_post.html" %}
{% hyde
title: "Site Redesign"
snip: "Yeah, I know. Again."
created: 2009-01-11 17:58:23
flattr: true
%}
{% block article %}
Well, I've redesigned the site again. This time it's all me. I built the site
from the ground up with [Django][] and [Python][]. Why? Several reasons:
* I already pay for hosting at [WebFaction][] for other sites so also paying
[Squarespace][] for my personal one was too wasteful.
* I wanted to practice designing another site with [Django][].
* I wanted more flexibility than [Squarespace][] supports and I'm not afraid
to get my hands dirty with code.
If you want to know more about how I created the site, check out the site's
[project page][].
Moving over
-----------
I've tried to make transitioning to the new site as easy as possible. For
example, I set up the urls so that links to the entries on the old blog will
redirect to entries on the new one if they exist.
Coming soon
-----------
I'm going to work on porting over more of the old blog entries in the next day
or two. I don't want to bring them all over; just the best ones.
I'm also going to implement an RSS feed that will encompass projects and blog
entries.
Let me know what you think!
[Python]: {{links.python}}
[Django]: {{links.django}}
[WebFaction]: {{links.webfaction}}
[Squarespace]: http://www.squarespace.com/
[project page]: /projects/stevelosh-com
{% endblock %}


Dear Lookit Admin,
{{ researcher_name }} has created a new lab, {{ lab_name }}, on Lookit. You can approve the lab here.


{% extends 'base.html'%} {% import 'macros.html' as macro%} {% import "bootstrap/wtf.html" as wtf%} {% block content%}
Author:Angela Uwase


Rachel's Portfolio
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Heavily pregnant woman punched in head '14 times' by man in vile 'racial attack'
WARNING: DISTRESSING CONTENT Stipe Lozina, 43, leaned over the table and allegedly made a comment before striking the mum in the head outside a cafe in Australia
by Tiffany LoA heavily pregnant woman was caught on camera being viciously punched at a cafe after a man allegedly made a racist comment.
The woman, 31, and two of her friends, were chatting at a table outside the Bay Vista restaurant in Parramatta, New South Wales, when a man approached to them and exchanged a brief conversation.
The mum-to-be, who is at 38 weeks pregnant, said he made racist comment before the assault.
CCTV footage on Tuesday shows the man leaning over the table before lashing out strong punches towards the woman, who is seen wearing a hijab.
Her friends try to pull the large-build man away but he rushed to the corner and stomped on the woman's back.
He allegedly punched the woman at least 14 times to the head.
Other diners came to her aid and stopped the man while the pregnant woman was helped by her friends.
She was taken to Westmead Hospital where she was treated for head injuries, according to 10 Daily.
She was released on Thursday and is believed to be recovering at home.
Her relative wrote on Facebook : "My poor cousin's wife was attacked at Bay Vista last night.
"This was a racial attack. May Allah heal you from this traumatic experience."
Parramatta Police arrested 43-year-old Stipe Lozina.
He appeared at Parramatta Local Court on Thursday charged with affray and assault occasioning actual bodily harm.
Magistrate Tim Keady said: "After making a comment about Muslims, you approached her and punched her to the head 14 times.
"The matters described here as violent, irrational and it is influenced as a mental health problem."
Parramatta police Inspector Lucas Sywenkyj said the vile attack left the woman visibly shaken.
He refused bail and will remain behind bars until at least next month.
He said: "As a result of the assault does seem emotionally and physically traumatised.
"Our police investigation is still in its infancy but it would appear to be completely random and unprovoked."


ResizeSDrawArea resizes the back-buffer of sDraw. Usually called when the screen-size has been changed (after WM_DISPLAYCHANGE)
void ResizeSDrawArea(long wid,long hei);
None. [ASM: All registers are preserved.]
case WM_DISPLAYCHANGE:
ResizeSDrawArea(0,0);
break;
If the screen-size hasn't actually changed, ResizeSDrawArea() will return immediately.


Ithaca, NY
208 miles away from NYC
$22,000
your estimated annual tuition (after scholoarships) based on your information, which is 25% higher than your max tution price
16%
your estimated Regular Decision acceptance rate, which is 2% higher than the average applicant
#1
this school was ranked as the #1 best fit for you in our system of 1200 schools
Stats at (insert university name)
***Your HS grades are on average 23% higher than the HS grades of admitted Cornell students!***
National Percentile major ranknings at Cornells
Class sizes at Cornell, by percentage
Male-Female percentage breakdown
Percentage of Students participating in Greek Life
Percentage of Students Receiving Financial Aid
How much students at Cornell make X years after graduating compared to the national average
***Students at Cornell make on average 23% more than the national average 6 years after graduating and 54% more 10 years after graduating!!***
Cornell Percentile Rankings on the Fun part of college!
***Your grades are on average 23% higher than the grades at Cornell!***
Percentile rankings of Cornell in some pretty important factors
How many students there are for every faculty member


Student at the University of Manchester, starting September 2019. Formerly a student at Vanderbilt University in Nashville, TN.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat
Beginning September 2019.
GPA: 3.1
Studied macro and microeconomics, Russian language and Russian literature, calculus, U.S. and European Politics. Contributor for the Vanderbilt Political Review with two articles published. Member of the Vanderbilt College Republicans. Withdrew for financial reasons.
Mathematics: A; Further Mathematics: B; Government & Politics: A
Extended Project Qualification: A*
Founder of the Model UN Club and member of the Global Politics club.
I love films, and I love to watch the best and most obscure films. I enjoy visiting art galleries and taking walks to places with scenic views, or exploring the town or city I am in.
I am also an avid book-reader, with my favourite genres being fantasy and non-fiction political history and philosophy. Additionally, I like to keep up with current affairs and have a keen interest in politics.


Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.
It refers to the development of both front end(client side)
and back end(server side) portions of web application. UI,UX
Design
The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
A blockchain, originally block chain,is a growing list of records, called blocks, that are linked using cryptography. Each block contains a cryptographic hash of the previous block,[6] a timestamp, and transaction data.


Welcome To Pig Dice!
Rules
1. The first Player to reach 100 wins!
2. One standard dice is rolled. If it doesn't shows a 1, the sum is added to the turn total.
3. If a 1 is rolled, the player’s entire score is lost, and the turn ends.
Player 1:
Player 2:
Player 1
's total Score:
You Rolled
Player 2
's total Score:
Score:


Adorable Mini Cheetah robots tested
by Rob BeschizzaThe MIT's Biomimetics lab tested nine Mini Cheetah robots in the institute's Killian Court. Here's the adorable yet uncanny footage.
The MIT's Biomimetics lab tested nine Mini Cheetah robots in the institute's Killian Court. Here's the adorable yet uncanny footage.


Shortly about me:
Paris Clarks is one of free website templates created by TemplateMonster.com team. This website template is optimized for 1280X1024 screen resolution. It is also XHTML & CSS valid.
The PSD source files of this Paris Clark template are available for free for the registered members of TemplateMonster.com.
Read moreGet social:
Get in touch
Freephone: +1<PHONE_NUMBER>
Telephone: +1<PHONE_NUMBER>
Fax: +1<PHONE_NUMBER>
E-mail<EMAIL_ADDRESS>9870St Vincent Place,
Glasgow, DC 45 Fr 45.


{% blocktrans trimmed %}
Questions can help you sort out additional details with speakers, such as
clothing sizes, special requirements such as dietary needs, or accommodation.
Questions can be asked either on a per-submission level, or per speaker, as
you see fit.
{% endblocktrans %}


Donald Trump impeachment: US politicians kick off public hearings
by James WarringtonThe impeachment inquiry into US President Donald Trump stepped up a gear this afternoon as politicians opened the first public hearing.
The House Intelligence Committee is holding the first hearing as part of a probe into whether Trump improperly pressured Ukraine to help his bid for reelection.
Read more: FTSE 100 staggers under Trump’s tariff threat and Hong Kong turmoil
Democrats leading the probe have summoned three US diplomats to outline their concerns during televised hearings scheduled for today and Friday.
Committee chairman Adam Schiff gavelled open the historic session, accusing Trump of trying to exploit the “vulnerability” of Ukrainian President Volodymyr Zelensky for this own political gain.
The accusations are centred on a phone call made on 25 July, in which Trump asked Zelensky to open a corruption investigation into rival Joe Biden and his son Hunter.
Democrats are investigating whether Trump deliberately withheld $391m (£305m) in security aid to Ukraine in a bid to pressurise Kiev into cooperation. The aid, which was approved to help the country fight Russia-backed separatists, was later handed over.
Trump has denied the allegations, while Republican Devin Nunes branded the procedure a “televised theatrical performance”.
William Taylor, the top US diplomat in Ukraine, and George Kent, the deputy assistant secretary of state for European and Eurasian affairs, will be the first witnesses to appear in front of the hearing.
Read more: Donald Trump defends China trade war but says a deal ‘close’
The hearings, which are due to continue into next week, could open the door to a formal impeachment, where the House would file charges against Trump.
This would in turn lead to a trial in the Senate where politicians would decide whether to convict the President of the charges and remove him from office.
Main image credit: Getty


jQuery carouFredSel
prev
next
Copyright (c) 2011
Fred Heusschen
, Upload on GitHub by
Blogger Tune-Up


UX Business Canvas is a strategic content management and lean startup tool for templating and developing business information models at the beginning stages of developing a business product and/or service plan. It assists researcher in aligning their business activities by illustrating element activities, niches and trade-offs.
A business canvas can be used and adapted to suit specific business scenarios and applications including, product / market fit, supply chain development, cash flow development, internal communications and lean startup frameworking.
Click next to learn about each of the different model business blocks.
These are the key-noted referential product and service innovation(s) and management key-terms for inducting customer acquistion, rentention and source-innovation installations.
This is the key-noted value propsition, or put simply what the business modal orientates for highly servicable goods and services.
These are the key-noted managements of communication, including key-termed relationship patterns, segmentation targets and channel funnels.
These are the key-worthy inductions for calculating the revenue generating structures.
These are the key-worthy inductions for calculating the cost fixtures to doing business.
Click next to learn the simple steps to developing your business canvas
UX Business Canvas is very simple to use. Simple click the button to generate a pin-pop; fill-out the details and your pin will automatically be generated under the column of your selection.
If you feel like re-arranging your pin(s) simply drag-and-drop the pin by clicking the button and moving the pin to an area denoted by Drop Pin Here. You can arrange pins by rank by moving them vertically in click-order.
If you wish to delete a pin, simply click the button.
Sorry there is no-undo, so please be sure to you wanted to delete a pin before using this function.
Click next to complete the tutorial.

Before you get going, if you would like to print your business canvas, save it as a .png image or share the url on your local network (pending hosting), please use the coresponding buttons at the top right of page .
Thanks again !
Matthew @ Social Lantern Media


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Slippy Astro Images
Demos how to display astronomy images as slippy web maps.
See README.md at
slippy-astro-images
.


MASViewConstraint Class Reference
| Inherits from | MASConstraint : NSObject |
|---|---|
| Conforms to | NSCopying |
| Declared in | MASViewConstraint.h MASViewConstraint.m |
Overview
A single constraint. Contains the attributes neccessary for creating a NSLayoutConstraint and adding it to the appropriate view
Other Methods
firstViewAttribute
First item/view and first attribute of the NSLayoutConstraint
@property (nonatomic, strong, readonly) MASViewAttribute *firstViewAttribute
Discussion
First item/view and first attribute of the NSLayoutConstraint
Declared In
MASViewConstraint.h
secondViewAttribute
Second item/view and second attribute of the NSLayoutConstraint
@property (nonatomic, strong, readonly) MASViewAttribute *secondViewAttribute
Discussion
Second item/view and second attribute of the NSLayoutConstraint
Declared In
MASViewConstraint.h
– initWithFirstViewAttribute:
initialises the MASViewConstraint with the first part of the equation
- (id)initWithFirstViewAttribute:(MASViewAttribute *)firstViewAttribute
Parameters
firstViewAttribute |
view.mas_left, view.mas_width etc. |
|---|
Return Value
a new view constraint
Discussion
initialises the MASViewConstraint with the first part of the equation
Declared In
MASViewConstraint.h
+ installedConstraintsForView:
Returns all MASViewConstraints installed with this view as a first item.
+ (NSArray *)installedConstraintsForView:(MAS_VIEW *)view
Parameters
view |
A view to retrieve constraints for. |
|---|
Return Value
An array of MASViewConstraints.
Discussion
Returns all MASViewConstraints installed with this view as a first item.
Declared In
MASViewConstraint.h
Other Methods
– multipliedBy
Sets the NSLayoutConstraint multiplier property
- (MASConstraint *( ^ ) ( CGFloat ))multipliedBy
Discussion
Sets the NSLayoutConstraint multiplier property
Declared In
MASConstraint.h
– dividedBy
Sets the NSLayoutConstraint multiplier to 1.0/dividedBy
- (MASConstraint *( ^ ) ( CGFloat ))dividedBy
Discussion
Sets the NSLayoutConstraint multiplier to 1.0/dividedBy
Declared In
MASConstraint.h
– priority
Sets the NSLayoutConstraint priority to a float or MASLayoutPriority
- (MASConstraint *( ^ ) ( MASLayoutPriority ))priority
Discussion
Sets the NSLayoutConstraint priority to a float or MASLayoutPriority
Declared In
MASConstraint.h
– equalToWithRelation
Sets the constraint relation to given NSLayoutRelation
returns a block which accepts one of the following: MASViewAttribute, UIView, NSValue, NSArray see readme for more details.
- (MASConstraint *( ^ ) ( id , NSLayoutRelation ))equalToWithRelation
Discussion
Sets the constraint relation to given NSLayoutRelation
returns a block which accepts one of the following: MASViewAttribute, UIView, NSValue, NSArray see readme for more details.
Declared In
MASConstraint+Private.h
– with
Optional semantic property which has no effect but improves the readability of constraint
- (MASConstraint *)with
Discussion
Optional semantic property which has no effect but improves the readability of constraint
Declared In
MASConstraint.h
– and
Optional semantic property which has no effect but improves the readability of constraint
- (MASConstraint *)and
Discussion
Optional semantic property which has no effect but improves the readability of constraint
Declared In
MASConstraint.h
– addConstraintWithLayoutAttribute:
Override to set a custom chaining behaviour
- (MASConstraint *)addConstraintWithLayoutAttribute:(NSLayoutAttribute)layoutAttribute
Discussion
Override to set a custom chaining behaviour
Declared In
MASConstraint+Private.h
– animator
Whether or not to go through the animator proxy when modifying the constraint
- (MASConstraint *)animator
Discussion
Whether or not to go through the animator proxy when modifying the constraint
Declared In
MASConstraint.h
– key
Sets the constraint debug name
- (MASConstraint *( ^ ) ( id ))key
Discussion
Sets the constraint debug name
Declared In
MASConstraint.h
– setInsets:
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeTop, NSLayoutAttributeLeft, NSLayoutAttributeBottom, NSLayoutAttributeRight
- (void)setInsets:(MASEdgeInsets)insets
Discussion
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeTop, NSLayoutAttributeLeft, NSLayoutAttributeBottom, NSLayoutAttributeRight
Declared In
MASConstraint.h
– setOffset:
Modifies the NSLayoutConstraint constant
- (void)setOffset:(CGFloat)offset
Discussion
Modifies the NSLayoutConstraint constant
Declared In
MASConstraint.h
– setSizeOffset:
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeWidth, NSLayoutAttributeHeight
- (void)setSizeOffset:(CGSize)sizeOffset
Discussion
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeWidth, NSLayoutAttributeHeight
Declared In
MASConstraint.h
– setCenterOffset:
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeCenterX, NSLayoutAttributeCenterY
- (void)setCenterOffset:(CGPoint)centerOffset
Discussion
Modifies the NSLayoutConstraint constant,
only affects MASConstraints in which the first item’s NSLayoutAttribute is one of the following NSLayoutAttributeCenterX, NSLayoutAttributeCenterY
Declared In
MASConstraint.h
– deactivate
Deactivates previously installed/activated NSLayoutConstraint.
- (void)deactivate
Discussion
Deactivates previously installed/activated NSLayoutConstraint.
Declared In
MASConstraint.h
– install
Creates a NSLayoutConstraint and adds it to the appropriate view.
- (void)install
Discussion
Creates a NSLayoutConstraint and adds it to the appropriate view.
Declared In
MASConstraint.h
– uninstall
Removes previously installed NSLayoutConstraint
- (void)uninstall
Discussion
Removes previously installed NSLayoutConstraint
Declared In
MASConstraint.h


{% extends "header.html" %} {% block body %}
NLTK is one of the most iconic Python modules, and it is the very reason I even chose the Python language.
There are very few Natural Language Processing (NLP) modules available for various programming languages, though they all pale in comparison to what NLTK offers.
Out of the box, NLTK can identify Named Entities (often nouns), and do part of speech tagging for grammar very simply. NLTK offers many very impressive advanced options as well.
To get NLTK, you can follow the video, though times have changed signifcantly since I posted that video.
The easiest way to get NLTK now is probably using pip with:
pip install nltk
If you need help with pip and installing packages, check out the .
After you have nltk, you will need to go into a python script and do:
import nltk nltk.download()


| Paneer Pizza | Margarita Pizza | Mushroom Pizza |
|---|---|---|
Paneer,Capsicum and delicious Veggies |
Olive,Capsicum and Margherita |
Mushroom,Capsicum and delicious Veggies |
Price:399 |
Price:299 |
Price:349 |
| Double Cheese Margherita | Farm House | Peppy Panner |
|---|---|---|
Price:299 |
Price:199 |
Price:329 |
| Mexican Green Wave | Deluxe Veggie | Veggie Paradise |
|---|---|---|
Price:299 |
Price:199 |
Price:329 |


#include <pmhal_ti_sci.h>
struct ti_sci_msg_req_set_clock_freq - Request to setup a clock frequency : Generic Header : Device identifier this request is for : The minimum allowable frequency in Hz. This is the minimum allowable programmed frequency and does not account for clock tolerances and jitter. : The target clock frequency. The clock will be programmed at a rate as close to this target frequency as possible. : The maximum allowable frequency in Hz. This is the maximum allowable programmed frequency and does not account for clock tolerances and jitter. : Clock identifier for the device for this request.
NOTE: Normally clock frequency management is automatically done by TISCI entity. In case of specific requests, TISCI evaluates capability to achieve requested range and responds with success/failure message.
This sets the desired frequency for a clock within an allowable range. This message will fail on an enabled clock unless MSG_FLAG_CLOCK_ALLOW_FREQ_CHANGE is set for the clock. Additionally, if other clocks have their frequency modified due to this message, they also must have the MSG_FLAG_CLOCK_ALLOW_FREQ_CHANGE or be disabled.
Calling set frequency on a clock input to the SoC pseudo-device will inform the PMMC of that clock's frequency. Setting a frequency of zero will indicate the clock is disabled.
Calling set frequency on clock outputs from the SoC pseudo-device will function similarly to setting the clock frequency on a device.
Request type is TI_SCI_MSG_SET_CLOCK_FREQ, response is a generic ACK/NACK message.


Effective date: November 14, 2018
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{#==========================================
Docs : "JsonObjects"
==========================================#}
Here's a quick example of using a
JsonObjects
JsonObject
(and JsonArray
)
are components provided by Spincast to mimic real Json
objects.
You can think of JsonObjects
as Map<String, Object>
on steroids!
JsonObjects
provide methods to get elements from them in a typed manner
They also support JsonPaths, which is an easy
way to navigate to a particular element in the JsonObject
.
JsonObjects
are also very easy to
validate.
JsonObject
:
// Creates a new JsonObject
JsonObject jsonObj = getJsonManager().create();
// Adds an element
jsonObj.set("myElement", "42");
// Gets the element as a String
String asString = jsonObj.getString("myElement");
// Gets the same element as an Integer
Integer asInteger = jsonObj.getInteger("myElement");
JsonObject
supports those types, natively :
JsonObjects
and JsonArrays
Getters are provided for all of those native types :
String getString(String key)
Integer getInteger(String key)
JsonObject getJsonObject(String key)
default value
in case
the requested element if not found (by default, null
is returned if the element is not found).
Let's see an example :
// Creates an empty JsonObject JsonObject jsonObj = getJsonManager().create(); // Tries to get an inexistent element... // "myElement" will be NULL String myElement = jsonObj.getString("nope"); // Tries to get an inexistent element, but also specifies a default value... // "myElement" will be "myDefaultValue"! String myElement = jsonObj.getString("nope", "myDefaultValue");
When you add an object of a type that is not managed natively, the object
is automatically converted
to a JsonObject
(or to a JsonArray
,
if the source is an array
or a Collection
). Spincast does this
by using the
SpincastJsonManager#convertToNativeType(...)
method, which is based on Jackson by default.
For example :
// Gets a typed user User user = getUser(123); // Adds this user to a JsonObject JsonObject jsonObj = getJsonManager().create(); jsonObj.set("myUser", user); // Gets back the user... It is now a JsonObject! JsonObject userAsJsonObj = jsonObj.getJsonObject("myUser");
Note that you can have control over how an object is converted to a JsonObject
by implementing
the ToJsonObjectConvertible
interface. This interface contains a convertToJsonObject()
method that you implement to
convert your object to a JsonObject
the way you want. There is a similar
ToJsonArrayConvertible
interface to control how an object is converted to a JsonArray
.
You can create an JsonObject
(or an JsonArray
) by using the JsonManager
component. This JsonManager
can be injected where you want, or it can be accessed through the
json()
add-on, when you are inside a Route Handler
:
public void myHandler(AppRequestContext context) { // JsonObject creation JsonObject obj = context.json().create(); obj.set("name", "Stromgol"); obj.set("lastName", "Laroche"); // JsonArray creation JsonArray array = context.json().createArray(); array.add(111); array.add(222); // Or, using the JsonManager directly (if // injected in the current class) : JsonObject obj2 = getJsonManager().create(); //... }
By default, any JsonObject
(or JsonArray
) added to another JsonObject
is added as is, without
being cloned. This means that any external modification to the added element
will affect the element inside the JsonObject
, and vice-versa, since they
both refere to the same instance. This allows you to do something like :
JsonArray colors = getJsonManager().createArray(); JsonObject obj = getJsonManager().create(); // Adds the array to the obj obj.set("colors", colors); // Only then do we add elements to the array colors.add("red"); colors.add("blue"); // This returns "red" : the array inside the JsonObject // is the same instance as the external one. String firstColor = obj.getArrayFirstString("colors");
Sometimes this behavior is not wanted, though. You may need the external object and the added object
to be two distinct instances so modifications to one don't affect the other!
In those cases, you can call the "clone()"
method on the original
JsonObject
object, or you can use "true"
as the "clone"
parameter when calling set(...)
/add(...)
methods.
Both methods result in the original object being cloned. Let's see an example :
JsonArray colors = getJsonManager().createArray(); JsonObject obj = getJsonManager().create(); // Add a *clone* of the array to the object obj.set("colors", colors, true); // Or : obj.set("colors", colors.clone()); // Then we add elements to the original array colors.add("red"); colors.add("blue"); // This will now return NULL since a *new* instance of the // array has been added to the JsonObject! String firstColor = obj.getArrayFirstString("colors");
Note that when you clone a JsonObject
, a deep copy of the original object is made,
which means the root object and all the children are cloned. The resulting JsonObject
is guaranteed to
share no element at all with the original object.
We also decided to make JsonObject
and JsonArray
objects
mutable by default. This is a
conscious decision to make those objects easy to work with : you can add and remove elements from them at any time.
But if you need more safety, if you work in a complex multi-threaded environment for example, you can
get an immutable version
of a JsonObject
object by calling its .clone(false)
method, using
false
as the "mutable"
parameter :
JsonObject obj = getJsonManager().create(); obj.set("name", "Stromgol"); // "false" => make the clone not mutable! JsonObject immutableClone = obj.clone(false); // This will throw an exception! immutableClone.set("nope", "doesn't work");
JsonObject
objects are always fully mutable or fully
immutable! Because of this, if you try to add an immutable JsonObject
to a mutable one,
a mutable clone will be created from the immutable object before being added. Same thing
if you try to add an mutable JsonObject
to an immutable one :
an immutable clone will be created from the mutable object before being added.
At runtime, you can validate if a JsonObject
is mutable or not using :
if(myJsonObj.isMutable())
.
Have a look at the JsonObject Javadoc
for a complete list of available methods. Here we're simply going to introduce some interesting ones,
other than set(...)
, getXXX(...)
and clone(...)
we already saw :
int size()
boolean contains(String jsonPath)
JsonObject
contain an element at the specified
JsonPath?
JsonObject merge(JsonObject jsonObj, boolean clone)
JsonObject merge(Map<String, Object> map, boolean clone)
JsonObject
or a plain Map<String, Object>
into the JsonObject
.
You can specify if the added elements must be cloned or
not (in case some are JsonObject
or JsonArray
).
JsonObject remove(String jsonPath)
jsonPath
.
JsonObject getJsonObjectOrEmpty(String jsonPath)
JsonArray getJsonArrayOrEmpty(String jsonPath)
JsonObject
or JsonArray
at the specified
JsonPath
or returns an empty instance if it's not found.
This allows you to try to get a deep element without any potential NullPointerException
. For
example :
// This won't throw any NPE, even if the "myArrayKey" // array or its first element don't exist String value = obj.getJsonArrayOrEmpty("myArrayKey") .getJsonObjectOrEmpty(0) .getString("someKey", "defaultValue");
[TYPE] getArrayFirst[TYPE](String jsonPath, String defaultValue)
JsonObject
, a getArrayFirst[TYPE](...)
method exists. With those methods, you can get the first element of a JsonArray
located at the specified JsonPath
. This is useful in situations where you
know the array only contains a single element :
// This : String value = obj.getArrayFirstString("myArrayKey", "defaultValue") // ... is the same as : String value = obj.getJsonArrayOrEmpty("myArrayKey").getString(0, "defaultValue")
void transform(String jsonPath, ElementTransformer transformer)
JsonPath
. This is used to modify an element without
having to extract it first. For example, the provided JsonObject#trim(String jsonPath)
method exactly does this : it internally calls transform(...)
and pass it
an ElementTransformer
which trims the target element.
String toJsonString(boolean pretty)
JsonObject
object to a Json
string.
If pretty
is true, the resulting Json
will be formatted.
Map<String, Object> convertToPlainMap()
If you need to use the elements of a JsonObject
in some code that doesn't
know how to handle JsonObjects
, you can convert it to a plain Map<String, Object>
.
Spincast does this, for example, to pass the elements of the
response model to the Template Engine
when it's time to evaluate a template and send an HTML
page.
Pebble, the default templating Engine
, knows nothing about
JsonObjects
but can easily deal with a plain Map<String, Object>
.
Note that all JsonObject
children will be converted to
Map<String, Object>
too, and all JsonArray
children to
List<Object>
.
Have a look at the JsonArray Javadoc
for a complete list of available methods. Here are some interesting ones, other than the
ones also available on JsonObjects
:
List<Object> convertToPlainList()
JsonArray
to a plain List<Object>
.
All JsonObject
children will be converted to
Map<String, Object>
, and all JsonArray
children to
List<Object>
.
List<String> convertToStringList()
JsonArray
to a List<String>
.
To achieve this, the toString()
method will be called on any non null
element of the array.
In Spincast, a JsonPath
is a simple way of expressing the location
of an element inside a JsonObject
(or a JsonArray
).
For example :
String title = myJsonObj.getString("user.books[3].title");In this example,
"user.books[3].title"
is
a JsonPath
targetting the title of the fourth
book from a user element of the myJsonObj
object.
Without using a JsonPath
, you would need to write something like
that to retrieve the same title :
JsonObject user = myJsonObj.getJsonObjectOrEmpty("user"); JsonArray books = user.getJsonArrayOrEmpty("books"); JsonObject book = books.getJsonObjectOrEmpty(3); String title = book.getString("title");As you can see, a
JSonPath
allows you to easily navigate a JsonObject
without having to extract any intermediate elements.
Here is the syntax supported by JsonPaths
:
"."
.
For example : "user.car"
.
JsonArray
you use "[X]"
, where X
is the position of the element in
the array (the first index is 0
).
For example : "books[3]"
.
"."
, "["
or "]"
), you need to surround it
with brackets. For example : "user['a key with spaces']"
.
You can also use JsonPaths
to
insert elements at specific positions! For example :
// Creates a book object JsonObject book = getJsonManager().create(); book.set("title", "The Hitchhiker's Guide to the Galaxy"); // Creates a "myJsonObj" object and adds the book to it JsonObject myJsonObj = getJsonManager().create(); myJsonObj.set("user.books[2]", book);
myJsonObj
object is now :
{ "user" : { "books" : [ null, null, { "title" : "The Hitchhiker's Guide to the Galaxy" } ] } }
user
object
didn't exist when we inserted the book! When you add
an element using a JsonPath
, all the
parents are automatically created, if required.
If you really need to insert an element
in a JsonObject
using a key containing some of the JsonPaths
special characters (which are "."
, "["
and "]"
),
and without that key being parsed as a JsonPath
, you can do so by
using the setNoKeyParsing(...)
method. For example :
// Creates a book object JsonObject book = getJsonManager().create(); book.set("title", "The Hitchhiker's Guide to the Galaxy"); // Creates a "myJsonObj" object and adds the book to it // using an unparsed key! JsonObject myJsonObj = getJsonManager().create(); myJsonObj.setNoKeyParsing("user.books[2]", book);
myJsonObj
object is now :
{ "user.books[2]" : { "title" : "The Hitchhiker's Guide to the Galaxy" } }
"user.books[2]"
key has been taken
as is, without being parsed as a JsonPath
.


Flexibly simulates a dataset with time-varying covariates with user-specified exchangeable correlation structures across and within clusters. Covariates can be normal or binary and can be static within a cluster or time-varying. Time-varying normal variables can optionally have linear trajectories within each cluster. See ?make_one_dataset for the main wrapper function. See Montez-Rath et al. <arXiv:1709.10074> for methodological details.
| Version: | 1.0.0 |
| Imports: | metafor, mvtnorm, ICC, miscTools, car, plyr, corpcor, psych, stats, utils |
| Published: | 2017-09-30 |
| Author: | Maya B. Mathur, Kristopher Kapphahn, Ariadna Garcia, Manisha Desai, Maria E. Montez-Rath |
| Maintainer: | Maya B. Mathur <mmathur at stanford.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | SimTimeVar results |
| Reference manual: | SimTimeVar.pdf |
| Package source: | SimTimeVar_1.0.0.tar.gz |
| Windows binaries: | r-devel: SimTimeVar_1.0.0.zip, r-release: SimTimeVar_1.0.0.zip, r-oldrel: SimTimeVar_1.0.0.zip |
| OS X binaries: | r-release: SimTimeVar_1.0.0.tgz, r-oldrel: SimTimeVar_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SimTimeVar to link to this page.


AFC Fylde boss Jim Bentley targets a rise up the National League table
Jim Bentley’s focus is getting his AFC Fylde side away from a relegation battle before they contemplate having an impact towards the other end of the table.
by Tom SandellsThe Coasters were tipped for promotion – if not the National League title – at the start of the season but find themselves just two points outside the relegation zone.
Bentley is still less than a month into his new role as the Coasters’ boss, but is enjoying his time at Mill Farm.
He said: “They’re a good group to work with, they’re working hard, they take on board information and it’s about improving.
“People say about whether it’s too late to make a push for the play-offs and this, that, and the other.
“First and foremost we’re in a tricky position and we need to pull ourselves away from that sooner rather than later and then assess ourselves as we go along.
“Confidence is a big part in football, it’s been a part of why the team are where they are at the moment.
“All those things are what we’re working on to try and make ourselves better – whether it be physically, mentally, tactically, technically; all areas of the game you need to cover.
“We’re seeing good signs that we’re pleased with. Credit where credit’s due in that regard.
“Hopefully we’ll continue to improve and put points on the board.”
Bentley also wants to foster a positive, uplifting environment at Mill Farm and sees similarities to his former Morecambe players in his current squad.
“We’re about honesty, respect and hard work, creating a good environment for the players to learn and work hard,” he said.
“We’ve got good evidence of that at our previous club of developing players and getting players back on track that have lost their way, taking players from non-league or building them up after injuries and getting them back up the levels.”


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@(message: String) @main("") {
Dev with By Matteo Piergovanni
The system claims under no circumstances to be a replacement for established medical HR measuring methods and it is simply a research project.


using-the-dccvalidator-pec.Rmd
We’ve built the dccvalidator tool to streamline the process of data validation and QA/QC. As the PsychENCODE (PEC) Knowledge Portal has grown to more than 39 contributing labs and over 90,000 data files, we’ve realized a need to be more standardized in our approaches to data curation. Thus, we built an application that performs many of the routine data quality checks we previously conducted by hand, with the hopes that it will help you, the data contributor, get your data checked, validated,nand shared easily and quickly.
The application is hosted on a Shiny server here.
To use this application you must:
Some portions of the app submit data to Synapse. This allows curators at Sage to troubleshoot issues if needed. No one outside the Sage curation team will be able to download the data.
A biospecimen is a sample of material such as tissue, cells, DNA, RNA or protein that has a unique identifier associated to it - specimenID
. The same biospecimen may be characterized in multiple assay types. In this case, the unique identifier should remain the same. We strongly recommend you do not name specimens using individual identifiers. In the case where multiple sequencing libaries are prepared from a single biospecimen, LibraryID
is an available key. Replicates are tracked using integers and the keys technicalReplicate
and sequencingReplicate
.
A manifest is .tsv or .txt file with data files to be uploaded to Synapse as entries in each row. Details of a manifest are described in the Uploading and Downloading Data in Bulk Synapse User Guide. While a metadata file will be stored on Synapse as a flat file, and select variables added as file annotations, all variables in a manifest file will live as annotations respective to the file in that row. To successfully upload a file, you must specify the local path
to the file and the Synapse ID of the folder in the parent
column.
Yes, Synapse supports Provenance! Provenance can be leveraged to connect raw data to reprocessed or summarized data. Populate the used
column in the manifest with the synID. The required values format for linking multiple files is used = synID;synID
.
Yes, with Provenance. Populate the executed
column with the url to your Github repo.
Each study in PEC will have accompanying documentation in the PEC portal. Here is an example of study documentation in the Accelerating Medicines Partnership in Alzheimer’s Disease portal, developed by Sage Bionetworks.
You can submit your documentation through the dccvalidator app on the Documentation page. There should be a study description for the whole study, and an assay description for each of the assays that was performed. These can be in a single file, or you can upload multiple files to the assay description section.
With a new study, there may not yet be a Staging folder in the PEC Knowledge Portal. Please contact us -<EMAIL_ADDRESS>Each study should include metadata that would help a new researcher understand and reuse the data. In most cases, we will expect 4 files:
Metadata file templates are available in the PsychENCODE Knowledge Portal resources.
If you don’t see a template for the assay(s) in your study, please send a request for a new schema to<EMAIL_ADDRESS>We depend on your expertise to develop schemas that capture the most pertinent metadata!
The data validation portion of the app allows you to upload metadata files (as .csv) and the manifest (as .tsv or .txt) and view the results of a series of automated checks.
Examples of the types of checks we perform are: - All required columns from the templates are present - Individuals and specimens have unique identifiers - Metadata terms conform to a controlled vocabulary, where applicable
The Data Analysis Core will reprocess common data types during PEC Phase II. Currently, common data types are RNASeq, ATACSeq, ChipSeq and all single cell data. For common data types, only fastq files are required. For other data types, please provide fastq and bam files.
Once data has passed validation and the PEC data curators permit edit permissions to the Staging folder, data may be uploaded. Bulk file upload is achievable using the web UI or the R, Python and command line clients.
Data is uploaded to a Staging folder, private to each individual group. Once curated, data is moved to a PEC folder for a limited period of time where all consortium members have access to the data via the PEC Team. Finally, data is made public to Synapse users in a Data folder. All data upload takes place in the PsychENCODE Knowledge Portal Synapse Project. While access to the project is public, restrictions are associated with the Staging and PEC folder to make sure the data remains private for the appropriate period of time.
Synapse IDs are always preserved (i.e. IDs remain associated to the file).
Please send questions to PEC_SageAdmin@synapse.org.


Mercury
Mercury is the closest planet to the
Sun
Surface Temperature:
Day: 800°F
Night: -280°F
Made Of:
70% Iron
30% Rock
Cycles:
Mercury Day: 58 Days, 15 Hours, 30 Minutes (Earth Time)
Mercury Year: 88 Days (Earth Time)


Welcome Bank Account Users!!!!!!!!!!!!!!!
Create a new user HERE!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
HERE


Antz (1998)
Directed by Eric Darnell, Laurence Guterman, and Tim Johnson
Written by Todd Alcott, Chris Weitz, and Paul Weitz
With the voices of: Woody Allen, Sharon Stone, Gene Hackman, Sylverster Stallone, Christopher Walken, Danny Glover, Dan Aykroyd, Jane Curtin, Anne Bancroft, Jennifer Lopez, John Mahoney
As Reviewed by James Brundage
Some movies just aren't what you suspected.  One example is Antz, a movie that is advertised as a family fun adventure but turns out to be a social satire.
Take the first few seconds. Immature humor? An ant's tiny fart here or there? No. Instead we find out that Woody Allen still has his shrink, even as an ant. It's one of those movies with an adult audience and a child's rating. In fact, even the eight-year-olds didn't laugh at the dry humor encased in this anthill of gold.
I liked it, though.  How often does Gene Hackman play a villain astride Christopher Walken playing a hero.  But anyway, it was a change. And I guess I have one saying about movies that I hold dear: Change is good.
http://fly.to/criticsheaven
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.
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Related links: index of all rec.arts.movies.reviews reviews


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Probabilistic Filters By Example
Probablistic filters are high-speed, space-efficient data structures that support set-membership tests with a one-sided error. These filters can claim that a given entry is definitely not represented in a set of entries, or might be represented in the set. That is, negative responses are conclusive, whereas positive responses incur a small false positive probability (FPP).
The trade-off for this one-sided error is space-efficiency. Cuckoo Filters and Bloom Filters require approximately 7 bits per entry at 3% FPP, regardless of the size of the entries. This makes them useful for applictations where the volume of original data makes traditional storage impractical.
Bloom filters have been in use since the 1970s and are well understood. Implementations are widely available. Variants exist that support deletion and counting, though with expanded storage requirements.
Cuckoo filters were described in Cuckoo Filter: Practically Better Than Bloom, a paper by researchers at CMU in 2014. Cuckoo filters improve on Bloom filters by supporting deletion, limited counting, and bounded FPP with similar storage efficiency as a standard Bloom filter.
Below is side-by-side simulation of the inner workings of Cuckoo and Bloom filters.
Probablistic Filters Visualized
| Cuckoo Filter | Bloom Filter |
|---|---|
|
Buckets
FPP: 0% In filter: Fingerprint (-bit): |
FPP: 0% In filter: |
Enter a string:
MultiSet:
How do they work?
Cuckoo Filters operate by hashing an entry with one hash function, and inserting a small f-bit fingerprint of the entry into an open position in either of two alternate buckets. When both buckets are full, the filter recursively kicks existing entries to their alternate buckets until space is found or attempts are exhausted. Lookups repeat the hash function and check both buckets for the fingerprint. When a matching fingerprint is not found, the entry is definitely not in the filter. When a matching fingerprint is found in either bucket, the entry might be in the filter. False positives occur when another entry inserted a matching fingerprint into either of the two checked buckets. Deletion is supported by removing one instance of an entry's fingerprint from either bucket. Counting is supported by inserting multiple fingerprints of the same value into the same pair of buckets.
Bloom Filters operate by hashing an entry with k hash functions, and setting k bits within a bit vector upon insertion. Lookups repeat the k hash functions and check the corresponding bits. When any checked bit is not set, the entry is definitely not in the filter. When all checked bits are set, the entry might be in the filter. False positives occur when all checked bits happen to be set by any combination of previously inserted entries.
What are they good for?
Probabilistic filters are used in a variety of applications where slow or expensive operations can be avoided prior to execution by a consulting comparitavely fast or cheap set membership test.
DB query optimization: data stored in a database can be inserted into a probabilistic filter. Later, prior to querying for the data, the filter can be consulted to test whether the data exists. When the filter response is negative, an unnecessary DB query can be avoided.
Edge filtering: filter data can be distributed to the edges of networks, similar to edge caching, where queries for potentially non-existent data received at the edge can be filtered out quickly. Unlike a cache, a copy of original data is not stored in the filter.
Which should I choose?
Choose Cuckoo, if available, unless your application is timing sensitive on insertion. Cuckoo filters outperform Bloom filters on insertion at first - both are O(1), though Cuckoo Filters compute just one or two hashes vs Bloom Filters fixed k hashes. However Cuckoo Filter insertion performance drops off as load increases due to recursively "kicking" entries.
...for reasonably large sized sets, for the same false positive rate as a corresponding Bloom filter, cuckoo filters use less space than Bloom filters, are faster on lookups (but slower on insertions/to construct), and amazingly also allow deletions of keys (which Bloom filters cannot do). -Michael Mitzenmacher (2014)
| Cuckoo Filter | Standard Bloom Filter | Counting Bloom Filter | |
|---|---|---|---|
| Insert | O(1), amortized variable, longer as load factor approaches capacity |
O(1) fixed, performs constant k hashes |
O(1) fixed, performs constant k hashes |
| As load increases | FPP trends toward desired max insertions may be rejected |
FPP trends toward 100% insertions cannot be rejected |
FPP trends toward 100% insertions may be rejected |
| Lookup | O(1) maximum of two buckets to check |
O(1) performs constant k hashes |
O(1) performs constant k hashes |
| Count | O(1) minimal suport: max == entries per bucket X 2 |
unsupported | O(1) performs constant k hashes |
| Delete | O(1) maximum of two buckets to inspect |
unsupported | O(1) performs constant k hashes |
| Bits per entry | smaller when desired FPP <= 3% | smaller when desired FPP > 3% | larger than Cuckoo & Standard Bloom multiplied by number of bits per counter |
| Bits per entry | 1.05 [ log2(1/FPP) + log2(2b) ] best when FPP <= 0.5% "semi-sort cuckoo" best when FPP <= 3% |
1.44 log2(1/FPP) best when FPP > 0.5% |
c [ 1.44 log2(1/FPP) ] where c is the number of bits per counter, e.g. 4 |
| Availability | limited (as of early 2016)
cpp java go |
widely available | widely available |
See also
- Cuckoo Filter: Practically Better Than Bloom, Bin Fan, et al.
- Cuckoo Filters, Michael Mitzenmacher
- Bloom Filters by Example, Bill Mill
- Bloom filter on Wikipedia


IMPORTANT DATES
Workshop paper submissions: July 31, 2016 August 15, 2016
Workshop paper notifications: August 22, 2016 Septmber 12, 2016
Final submission of workshop program and materials: Sept. 1, 2016
Workshop date: October 28, 2016
All deadlines are at 11:59 PM Pacific Standard Time.


Generates a Binder badge to add to your README
generate_badge(path = ".", hub = "mybinder.org", urlpath = "rstudio")
| path | Assumes local folder unless you say otherwise |
|---|---|
| hub | mybinder.org (often used synonymously with Binder) is a single deployment of a BinderHub instance, managed by the creators of Binder. It serves as both a public service and a demonstration of the BinderHub technology but it is by no means the only BinderHub in existence. Pangeo (https://binder.pangeo.io/) is another instance of a BinderHub (pass "binder.pangeo.io" to the hub argument) that is hosted by the geoscience community and is free to use for anyone. It is quite likely that other BinderHubs will be available in the future. You can use the `hub` argument to set the BinderHub of your choice. If your organization wants to host one (with additional resources to serve your community), please read through the MyBinder documentation (https://mybinder.readthedocs.io ) |
| urlpath | Defaults to rstudio for a Rstudio server. |
# generate_badge("/path/to/repo")


--- title: Cropping layer for 2D input (e.g. picture). type: docs repo: https://github.com/rstudio/keras menu: main: name: Cropping layer for 2D input (e.g. picture). - keras parent: keras-reference aliases: - /reference/keras/layer_cropping_2d.html - /keras/reference/layer_cropping_2d.html - /guide/keras/reference/layer_cropping_2d.html - /tools/tools/keras/reference/layer_cropping_2d.html - /installation/keras/reference/layer_cropping_2d.html - /tutorials/keras/reference/layer_cropping_2d.html - /guide/tools/keras/reference/layer_cropping_2d.html - /deploy/keras/reference/layer_cropping_2d.html - /tools/keras/reference/layer_cropping_2d.html - /tutorials/tools/keras/reference/layer_cropping_2d.html ---
It crops along spatial dimensions, i.e. width and height.
layer_cropping_2d(
object,
cropping = list(c(0L, 0L), c(0L, 0L)),
data_format = NULL,
batch_size = NULL,
name = NULL,
trainable = NULL,
weights = NULL
)
| object | Model or layer object |
| cropping | int, or list of 2 ints, or list of 2 lists of 2 ints.
|
| data_format | A string, one of |
| batch_size | Fixed batch size for layer |
| name | An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided. |
| trainable | Whether the layer weights will be updated during training. |
| weights | Initial weights for layer. |
4D tensor with shape:
If data_format
is "channels_last"
: (batch, rows, cols, channels)
If data_format
is "channels_first"
: (batch, channels, rows, cols)
4D tensor with shape:
If data_format
is "channels_last"
: (batch, cropped_rows, cropped_cols, channels)
If data_format
is "channels_first"
: (batch, channels, cropped_rows, cropped_cols)
Other convolutional layers:
layer_conv_1d_transpose()
,
layer_conv_1d()
,
layer_conv_2d_transpose()
,
layer_conv_2d()
,
layer_conv_3d_transpose()
,
layer_conv_3d()
,
layer_conv_lstm_2d()
,
layer_cropping_1d()
,
layer_cropping_3d()
,
layer_depthwise_conv_2d()
,
layer_separable_conv_1d()
,
layer_separable_conv_2d()
,
layer_upsampling_1d()
,
layer_upsampling_2d()
,
layer_upsampling_3d()
,
layer_zero_padding_1d()
,
layer_zero_padding_2d()
,
layer_zero_padding_3d()


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