NowPlaying
A Flutter plugin for iOS and Android which surfaces metadata around the currently playing audio track on the device.
On Android nowplaying
makes use of the NotifiationListenerService
, and shows any
track revealing its play state via a notification.
On iOS nowplaying
is restricted to access to music or media played via the Apple Music/iTunes app.
Installation
Add nowplaying
as a dependency in your pubspec.yaml
file:
dependencies:
nowplaying: ^1.0.2
iOS
Add the following usage to your ios/Runner/Info.plist
:
<key>NSAppleMusicUsageDescription</key>
<string>We need this to show you what's currently playing</string>
Android
To enable the notification listener service, add the following block to your android/app/src/main/AndroidManifest.xml
, just before the closing </application>
tag:
<service android:name="com.gomes.nowplaying.NowPlayingListenerService"
android:label="NowPlayingListenerService"
android:permission="android.permission.BIND_NOTIFICATION_LISTENER_SERVICE">
<intent-filter>
<action android:name="android.service.notification.NotificationListenerService" />
</intent-filter>
</service>
Usage
Initialisation
Initialise the nowplaying
service by starting it's instance:
NowPlaying.instance.start();
This can be done anywhere, including prior to the runApp
command.
Permissions
iOS automatically has the required permissions to access now-playing data, via the usage key added during the installation phase.
Android users must give explicit permission for the service to access the notification stream from which now-playing data is extracted.
Test for whether permissions have been given or not via the instance's isEnabled
method:
final bool isEnabled = await NowPlaying.instance.isEnabled();
// isEnabled() always returns true on iOS
if (!isEnabled) {
...
}
The Android settings page for this permission is a little hard to find, so NowPlaying includes a convenience method to open it:
NowPlaying.instance.requestPermissions();
To avoid annoying a user by e.g. showing the permissions page on every app restart, navigation to this page should be limited: as such, the unparameterised requestPermissions
function will only open the settings page once for any given install of the app. It returns a boolean: true
the first time, when the page has been successfully shown; also true
if permission has already been granted (in which case the settings page is not shown); or false
if this is a second or later call to the method, with navigation to the settings page prohibited. (Note that requestPermissions()
always returns true
on iOS).
final bool hasShownPermissions = await NowPlaying.instance.requestPermissions();
If you really need to show the permissions page a second time, probably after gently explaining to the user why, you can force
it open:
if (!hasShownPermissions) {
final bool pleasePleasePlease = await Navigator.of(context).pushNamed('ExplainAgainReallyNicelyPage');
if (pleasePleasePlease) NowPlaying.instance.requestPermissions(force: true);
}
(although this still won't show the settings page if permission is already enabled.)
Accessing current now-playing metadata
Now-playing metadata is deliverd into the parent app via a stream
of NowPlayingTrack
objects, exposed as NowPlaying.instance.stream
. This can be consumed however you'd usually consume a stream, e.g.:
StreamProvider.value(
value: NowPlaying.instance.stream,
child: MaterialApp(
home: Scaffold(
body: Consumer<NowPlayingTrack>(
builder: (context, track, _) {
return Container(
...
);
}
)
)
)
)
The NowPlayingTrack
objects contain the following fields:
String title;
String artist;
String album;
String genre;
Duration duration;
Duration progress; // check note below
NowPlayingState state;
ImageProvider image;
ImageProvider icon;
String source;
where NowPlayingState
is defined as:
enum NowPlayingState {
playing, paused, stopped
}
...which is hopefully self-explanatory.
icon
and source
fields
The source
of a track is the package name of the app playing the current track: com.spotify.music
, for example. On iOS this is always com.apple.music
.
The icon
image provider, if not null, supplies a small, transparent PNG containing a monochrome logo for the originating app. While monochrome, this PNG is not necessarily black: so for consistency, it's probably worth adding color: Colors.somethingNice
and colorBlendMode: BlendMode.srcIn
or similar to any Image
widget.
The progress
field
As is probably obvious, progress
is a duration describing how far through the track the player has progressed, in milliseconds: how much of a track has been played, in other words.
Note that no new track is emitted on the stream as a track progresses: stream updates only happen when the track changes state (playing to paused; vice versa; new track starts; and so on). However, the progress
field of a track will give you an instantaneous 'correct' value every time it's polled, so to see progress updating in real time create a stateful widge to expose it:
class TrackProgressIndicator extends StatefulWidget {
final NowPlayingTrack track;
TrackProgressIndicator(this.track);
@override
_TrackProgressIndicatorState createState() => _TrackProgressIndicatorState();
}
class _TrackProgressIndicatorState extends State<TrackProgressIndicator> {
Timer _timer;
@override
void initState() {
_timer = Timer.periodic(const Duration(seconds: 1), (_) => setState(() {}));
super.initState();
}
@override
void dispose() {
_timer.cancel();
super.dispose();
}
@override
Widget build(BuildContext context) {
return Text(widget.track.progress.toString().split('.').first.padLeft(8, '0'));
}
}
Album art and associated images
Usually - and almost always, on Android - a track will contain an appropriate ImageProvider
in its image
field, containing album art or similar.
On iOS, however, there is a bug or badly documented policy that means album art is only made available if the track being played is in your local library: any tracks streamed from e.g. Apple music playlists are image-free.
NowPlaying
can attempt to resolve missing images for you. However, this is a relatively heavy process in terms of memory and processing, so is turned off by default. To enable missing image resolution, set the resolveImages
parameter to true
when starting the instance:
NowPlaying.instance.start(resolveImages: true);
The default image resolution process:
- will only attempt to find an image if none already exists
- makes http calls against the MusicBrainz api and subsequently the Cover Art Archive api
Overriding the image resolver
You may decide that you want to resolve missing images in a different way, or even override images that have already been found from the metadata. In this case, supply a new image resolver when starting the instance:
NowPlaying.instance.start(resolver: MyImageResolver());
...
class MyImageResolver implements NowPlayingImageResolver {
@override
Future<ImageProvider> resolve(NowPlayingTrack track) async {
...
}
}
SemVer use
- patch:
- bugfix, tweak or typo
- minor:
- non-breaking change
- major:
- breaking change
Credits
Thanks to Fábio A. M. Pereira for his Notification Listener Service Example, which provided inspiration (and in some cases, let's be honest, actual code) for the Android implementation.


CSS Magic! Margin, Border and Padding
What's the difference between Margin, Border and Padding?
Dec 23, 2014
Paragraph 1
Paragraph 2
Paragraph 3


ZIP: 245 Title: Transaction Identifier Digests & Signature Validation for Transparent Zcash Extensions Owners: Kris Nuttycombe<EMAIL_ADDRESS>Status: Draft Category: Consensus Created: 2021-01-13 License: MIT Discussions-To: <https://github.com/zcash/zips/issues/384>
The key words "MUST" and "MUST NOT" in this document are to be interpreted as described in RFC 2119. 1
The terms "consensus branch", "epoch", and "network upgrade" in this document are to be interpreted as described in ZIP 200. 2
This proposal defines changes to ZIP 244 4 transaction id and signature digest algorithms to accommodate the inclusion of transparent Zcash extensions (TZEs) as defined in ZIP 222 3.
The tree of hashes defined by ZIP 244 4 is re-structured to include a new branch for TZE hashes. The tze_digest
branch is the only new addition to the tree; header_digest
, transparent_digest
, sprout_digest
, and sapling_digest
are as in ZIP 244:
txid_digest ├── header_digest ├── transparent_digest ├── tze_digest │ ├── tzein_digest │ └── tzeout_digest ├── sprout_digest └── sapling_digest
The top hash of the txid_digest
tree is modified from the ZIP 244 structure to be a BLAKE2b-256 hash of the following values
T.1: header_digest (32-byte hash output) T.2: transparent_digest (32-byte hash output) T.3: tze_digest (32-byte hash output) T.4: sprout_digest (32-byte hash output) T.5: sapling_digest (32-byte hash output)
The personalization field of this hash is unmodified from ZIP 244.
tze_digest
A BLAKE2b-256 hash of the following values
T.2a: tzein_digest (32-byte hash) T.2b: tzeout_digest (32-byte hash)
The personalization field of this hash is set to:
"ZTxIdTZE____Hash" (4 underscore characters)
A BLAKE2b-256 hash of all TZE inputs to the transaction, excluding witness data. For each TZE input, the following values are appended to this hash:
2a.i: extension_id (CompactSize field encoding) 2a.ii: mode (CompactSize field encoding)
The personalization field of this hash is set to:
"ZTxIdTZEIns_Hash" (1 underscore character)
A BLAKE2b-256 hash of the field encoding of all TZE outputs belonging to the transaction.
The personalization field of this hash is set to:
"ZTxIdTzeOutsHash"
The signature digest creation algorithm defined by ZIP 244 4 is modified to include a new branch for TZE hashes. The tze_digest
branch is the only new addition to the tree; header_digest
, transparent_digest
, sprout_digest
, and sapling_digest
are as in ZIP 244:
signature_digest ├── header_digest ├── transparent_digest ├── tze_digest │ ├── tzein_digest │ └── tzeout_digest ├── sprout_digest └── sapling_digest
A BLAKE2b-256 hash of the following values
S.1: header_digest (32-byte hash output) S.2: transparent_digest (32-byte hash output) S.3: tze_digest (32-byte hash output) S.4: sprout_digest (32-byte hash output) S.5: sapling_digest (32-byte hash output)
The personalization field of this hash is set to:
"ZcashTxHash_" || CONSENSUS_BRANCH_ID
ZcashTxHash_
has 1 underscore character.
This value must have the same personalization as the top hash of the transaction identifier digest tree, in order to make it possible to sign the transaction id in the case that there are no transparent inputs.
This digest is a BLAKE2b-256 hash of the following values of the TZE input being signed:
S.3a: prevout_digest (field encoding bytes) S.3b: extension_id (CompactSize field encoding) S.3c: mode (CompactSize field encoding) S.3d: payload (arbitrary bytes) S.3e: value (8-byte little endian value of the output spent by this input)
The personalization field of this hash is set to:
"Zcash__TzeInHash" (2 underscore characters)
| 1 | RFC 2119: Key words for use in RFCs to Indicate Requirement Levels |
|---|
| 2 | ZIP 200: Network Upgrade Mechanism |
|---|
| 3 | ZIP 222: Transparent Zcash Extensions |
|---|
| 4 | ZIP 244: Transaction Identifier Non-Malleability |
|---|


#include <app.h>
Inheritance diagram for TProgram::
Public Methods | |
| TProgram () | |
| virtual | ~TProgram () |
| virtual Boolean | canMoveFocus () |
| virtual ushort | executeDialog (TDialog *pD, void *data=0) |
| virtual void | getEvent (TEvent &event) |
| virtual TPalette& | getPalette () const |
| virtual void | handleEvent (TEvent &event) |
| virtual void | idle () |
| virtual void | initScreen () |
| virtual void | outOfMemory () |
| virtual void | putEvent (TEvent &event) |
| virtual void | run () |
| virtual TWindow* | insertWindow (TWindow *) |
| void | setScreenMode (ushort mode) |
| TView* | validView (TView *p) |
| virtual void | shutDown () |
| virtual void | suspend () |
| virtual void | resume () |
Static Public Methods | |
| TStatusLine* | initStatusLine (TRect) |
| TMenuBar* | initMenuBar (TRect) |
| TDeskTop* | initDeskTop (TRect) |
Static Public Attributes | |
| TProgram* | application |
| TStatusLine* | statusLine |
| TMenuBar* | menuBar |
| TDeskTop* | deskTop |
| int | appPalette |
Static Protected Attributes | |
| TEvent | pending |
TProgram provides the basic template for all standard TVision applications. All programs must be derived from TProgram or its immediate derived class, TApplication. TApplication differs from TProgram only for its constructor and destructor. However most applications will be derived from TApplication.
Definition at line 524 of file app.h.
|
|
Constructor. The TProgram constructor calls the TProgInit constructor, passing to it the addresses of three init functions. The TProgInit constructor creates a status line, menu bar, and desk top. If these calls are successful, the three objects are inserted into the TProgram group. Variables statusLine, menuBar and deskTop are set to point at these new objects. The TGroup constructor is also invoked to create a full screen view; the video buffer and default palettes are initialized; and the following state flags are set:
state = sfVisible | sfSelected | sfFocused | sfModal | sfExposed; |
|
|
Destructor. Deletes the associated deskTop, menuBar, statusLine objects, and sets application to 0. |
|
|
Returns True if the focus can be moved from one desktop view to another one. It just returns `deskTop->valid(cmReleasedFocus)'.
|
|
|
Executes a dialog. `pD' points to the dialog. The dialog is executed only if it is valid.
|
|
|
Gets an event. This method collects events from the system like key events, mouse events and timer events and returns them in the `event' structure. getEvent() first checks if TProgram::putEvent() has generated a pending event. If so, getEvent() returns that event. If there is no pending event, getEvent() calls TScreen::getEvent(). If both calls return evNothing, indicating that no user input is available, getEvent() calls TProgram::idle() to allow "background" tasks to be performed while the application is waiting for user input.
Reimplemented from TView. Reimplemented in TApplication. |
|
|
Returns a reference to the standard TProgram palette. Returns the palette string given by the palette index in appPalette. TProgram supports three palettes. appPalette is initialized by TProgram::initScreen(). Reimplemented from TView. |
|
|
Standard TProgram event handler. This method first checks for keyboard events. When it catches keys from Alt-1 to Alt-9 it generates an evBroadcast event with the `command' field equal to cmSelectWindowNum and the `infoPtr' field in the range 1 to 9. Then it calls TGroup::handleEvent(). Last it checks for a cmQuit command in a evCommand event. On success it calls TGroup::endModal(cmQuit) to end the modal state. This causes TProgram::run() method to return. In most applications this will result in program termination.
Reimplemented from TGroup. |
|
|
Called when in idle state. This method is called whenever the library is in idle state, i.e. there is not any event to serve. It allows the application to perform background tasks while waiting for user input. The default idle() calls statusLine->update() to allow the status line to update itself according to the current help context. Then, if the command set has changed since the last call to idle(), an evBroadcast with a command value of cmCommandSetChanged is generated to allow views that depend on the command set to enable or disable themselves.
The user may redefine this method, for example, to update a clock in the upper right corner of the screen, like the `demo' program does. |
|
|
Creates a new desktop. This method creates a standard TDeskTop view and returns its address. The address of this function is passed to the TProgInit constructor, which creates a TDeskTop object for the application and stores a pointer to it in the deskTop static member. initDeskTop() should never be called directly. Few applications need to redefine it to have a custom desktop, instead of the default empty TDeskTop. |
|
|
Creates a new menu bar. This method creates a standard TMenuBar view and returns its address. The address of this function is passed to the TProgInit constructor, which creates a TMenuBar object for the application and stores a pointer to it in the menuBar static member. initMenuBar() should never be called directly. initMenuBar() is almost always overridden to instantiate a user defined TMenuBar instead of the default empty TMenuBar. |
|
|
Initializes the screen. This method is called by the TProgram constructor and setScreenMode() every time the screen mode is initialized or changed.
|
|
|
Creates a new status line. This method creates a standard TStatusLine view and returns its address. The address of this function is passed to the TProgInit constructor, which creates a TStatusLine object for the application and stores a pointer to it in the statusLine static member. initStatusLine() should never be called directly. initStatusLine() is almost always overridden to instantiate a user defined TStatusLine instead of the default empty TStatusLine. |
|
|
Inserts a window in the TProgram. |
|
|
Called on out of memory condition. It is called from validView() whenever lowMemory() returns True. This happens when there is few free memory. Of course this should rarely happen. This method may be redefined to tell the user (by calling messageBox() for example) that there is not free memory to end the current task. |
|
|
Sets a pending event. Puts an event in the pending state, by storing a copy of the `event' structure in the pending variable, a static member of TProgram. Only one event is allowed to be pending. The next call to getEvent() will return this pending event even if there are other events in the system queue to be handled. Reimplemented from TView. |
|
|
Restores the execution of the application. This method is empty. Will be redefined in TApplication which is a child of TProgram.
Reimplemented in TApplication. |
|
|
Runs TProgram. Executes TProgram by calling its method execute(), which TProgram inherits from TGroup. |
|
|
Sets a new screen mode. The `mode' parameter can by one of the constants smCO80, smBW80 or smMono, defined in `system.h' as follows. Optionally the value may be or-ed with smFont8x8.
Constant Value Meaning smBW80 0x0002 Requires black & white screen, 80 columns smCO80 0x0003 Requires color screen, 80 columns smMono 0x0007 Requires monochrome screen smFont8x8 0x0100 Requires small size font Note: in my port this method only redraws the screen. |
|
|
Releases TProgram resources. Used internally by TObject::destroy() to ensure correct destruction of derived and related objects.
Reimplemented from TGroup. |
|
|
Stops the execution of the application. This method is empty. Will be redefined in TApplication which is a child of TProgram.
Reimplemented in TApplication. |
|
|
Checks if a view is valid. Returns `p' if the view pointed by `p' is valid. Otherwise returns a null pointer. First, if `p' is 0 the call returns 0. Next, if lowMemory() returns True the view pointed by `p' is released by calling TObject::destroy() followed by outOfMemory() and the function returns 0. Last if a call to `p->valid(cmValid)' returns False the view pointed by `p' is released and the function returns 0.
|
|
|
The current application palette. Indexes the default palette for this application. The TPalette object corresponding to appPalette is returned by getPalette(). This value is set automatically at startup by initScreen(). The following application palette constants are defined:
Constant Value Meaning apColor 0 Use palette for color screen apBlackWhite 1 Use palette for LCD screen apMonochrome 2 Use palette for monochrome screen |
|
|
A pointer to the current application, direct istance of TProgram or istance of another class derived from TProgram, usually TApplication. Set to this by the TProgInit constructor. Only one TProgram object can exist at any time. In this way every object can call TProgram methods even if it does't know its name. |
|
|
A pointer to the current desk top object, set by a call to TProgInit::createDeskTop in the TProgram constructor. The resulting desk top is inserted into the TProgram group. May be 0 if no desk top exist. |
|
|
A pointer to the current menu bar object, set by a call to TProgInit::createMenuBar in the TProgram constructor. The resulting menu bar is inserted into the TProgram group. May be 0 if no menu bar exist. |
|
|
The current pending event. This structure contains the current pending event, if any exists. A maximum of one pending event may be set by calling putEvent(). |
|
|
A pointer to the current status line object, set by a call to TProgInit::createStatusLine in the TProgram constructor. The resulting status line is inserted into the TProgram group. May be 0 if no status line exist. |


FDA warns Dollar Tree about flagged Chinese manufacturers
WASHINGTON (AP) - Government regulators have again warned Dollar Tree’s parent company about importing drugs and cosmetics that could be tainted due to improper product testing during manufacturing.
The Food and Drug Administration said that Greenbrier International also did not properly perform its own lab analyses as required before releasing certain products, including an anti-dandruff shampoo and an acne face wash. The products were also mislabeled by the Chinese manufacturers.
The FDA told Greenbrier about violations at the Chinese companies as early as 2017. The FDA’s Nov. 6 warning to Greenbrier International says that the company continued to receive products from companies on “import alert,” even after Greenbrier International agreed not to.
TOP STORIES
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A spokesman for the Chesapeake, Virginia-based Dollar Tree said the company is cooperating with the FDA.
“We are committed to our customers’ safety and have very robust and rigorous testing programs in place to ensure our third-party manufacturers products are safe,” said Dollar Tree spokesman Randy Guiler. “We plan to meet with the FDA in the near future and expect that our plans will satisfy their requirements in all regards.”
The FDA requested a response from the company within 15 days with a plan to ensure it doesn’t import or distribute tainted products.
Dollar Tree operates more than 15,000 stores in 48 states and Canada under the names Dollar Tree, Family Dollar and Dollar Tree Canada.
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Id:
{{params.id}}
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{{params.type}}
's section
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This is the contact section


{% extends '_base_dashboard.html' %} {% block dashboard_content %}
| Username | First Name | Last Name | {% for teacher in teachers %}
| {{ teacher.username }} | {{ teacher.first_name }} | {{ teacher.last_name }} |
| Username | First Name | Last Name | {% for student in students %}
| {{ student.username }} | {{ student.first_name }} | {{ student.last_name }} |


Train and Deploy a new ML model
This example is a quick exercise to illustrate how the TLO forecasting application works. This is a one-page template from TLO for building simple and beautiful home page. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset.
{% if data %}{{data}}
{% endif %}


Class: RuboCop::Cop::Performance::Detect
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
AutoCorrector,
Base
|
|
|
Instance Chain:
self,
Base
|
|
| Inherits: |
Base
|
| Defined in: | lib/rubocop/cop/performance/detect.rb |
Overview
Identifies usages of first
, last
, [0]
or [-1]
chained to select
, find_all
or filter
and change them to use
detect
instead.
Constant Summary
-
CANDIDATE_METHODS =
# File 'lib/rubocop/cop/performance/detect.rb', line 33Set[:select, :find_all, :filter].freeze
-
INDEX_MSG =
# File 'lib/rubocop/cop/performance/detect.rb', line 37'Use `%<prefer>s` instead of `%<first_method>s[%<index>i]`.'
-
INDEX_REVERSE_MSG =
# File 'lib/rubocop/cop/performance/detect.rb', line 38'Use `reverse.%<prefer>s` instead of `%<first_method>s[%<index>i]`.'
-
MSG =
# File 'lib/rubocop/cop/performance/detect.rb', line 35'Use `%<prefer>s` instead of `%<first_method>s.%<second_method>s`.'
-
RESTRICT_ON_SEND =
# File 'lib/rubocop/cop/performance/detect.rb', line 39%i[first last []].freeze
-
REVERSE_MSG =
# File 'lib/rubocop/cop/performance/detect.rb', line 36'Use `reverse.%<prefer>s` instead of `%<first_method>s.%<second_method>s`.'
Instance Method Summary
-
#on_csend(node)
Alias for #on_send.
- #on_send(node) (also: #on_csend)
- #accept_first_call?(receiver, body) ⇒ Boolean private
- #autocorrect(corrector, node, replacement) private
- #lazy?(node) ⇒ Boolean private
- #message_for_method(method, index) private
- #preferred_method private
- #register_offense(node, receiver, second_method, index) private
- #replacement(method, index) private
Instance Method Details
#accept_first_call?(receiver, body) ⇒ Boolean
(private)
# File 'lib/rubocop/cop/performance/detect.rb', line 70
def accept_first_call?(receiver, body) caller, _first_method, args = *receiver # check that we have usual block or block pass return true if body.nil? && (args.nil? || !args.block_pass_type?) lazy?(caller) end
#autocorrect(corrector, node, replacement) (private)
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 102
def autocorrect(corrector, node, replacement) receiver, _first_method = *node first_range = receiver.source_range.end.join(node.loc.selector) receiver, _args, _body = *receiver if receiver.block_type? corrector.remove(first_range) corrector.replace(receiver.loc.selector, replacement) end
#lazy?(node) ⇒ Boolean
(private)
# File 'lib/rubocop/cop/performance/detect.rb', line 128
def lazy?(node) return false unless node receiver, method, _args = *node method == :lazy && !receiver.nil? end
#message_for_method(method, index) (private)
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 113
def (method, index) case method when :[] index == -1 ? INDEX_REVERSE_MSG : INDEX_MSG when :last REVERSE_MSG else MSG end end
#on_csend(node)
Alias for #on_send.
# File 'lib/rubocop/cop/performance/detect.rb', line 66
alias on_csend on_send
#on_send(node) Also known as: #on_csend
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 50
def on_send(node) detect_candidate?(node) do |receiver, second_method, args| if second_method == :[] index = args args = {} end return unless args.empty? return unless receiver receiver, _args, body = *receiver if receiver.block_type? return if accept_first_call?(receiver, body) register_offense(node, receiver, second_method, index) end end
#preferred_method (private)
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 124
def preferred_method config.for_cop('Style/CollectionMethods')['PreferredMethods']['detect'] || 'detect' end
#register_offense(node, receiver, second_method, index) (private)
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 79
def register_offense(node, receiver, second_method, index) _caller, first_method, _args = *receiver range = receiver.loc.selector.join(node.loc.selector) = (second_method, index) = format(, prefer: preferred_method, first_method: first_method, second_method: second_method, index: index) add_offense(range, message: ) do |corrector| autocorrect(corrector, node, replacement(second_method, index)) end end
#replacement(method, index) (private)
[ GitHub ]# File 'lib/rubocop/cop/performance/detect.rb', line 94
def replacement(method, index) if method == :last || (method == :[] && index == -1) "reverse.#{preferred_method}" else preferred_method end end


This dashboard presents a predictive priority index (5=high, 1=low) of muncipalities hit by Haima. Thereby it aims to contribute to the question which municipalities to prioritize given limited resources. The index is constructed by combining both severity data (houses damaged) and pre-disaster vulnerability indicators such as poverty. Note that a preselection is made by PRC: click the Preselection-button to only show those municipalities.


[gecode-users] Gist suggestion
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Fri Apr 4 08:14:02 CEST 2008
On Fri, Apr 4, 2008 at 6:01 AM, Malcolm Ryan <malcolmr at cse.unsw.edu.au> wrote:
>
> On 04/04/2008, at 2:35 PM, Malcolm Ryan wrote:
> > Could you please add an option to Gist which does "run until failure"?
> > It would be useful in debugging.
The functionality is probably best handled by a Stop-object.
Unfortunately, Gecode/J Gist does not accept Stop objects currently.
We'll see if it seems reasonable to do for the next release.
Otherwise, it shouldn't be too hard to add yourself.
> Another thing that would be good would be to force the recomputation
> of a particular branch. So that I could put breakpoints in the
> branching code and examine selected calls to desc() by recomputing
> particular spots in the tree.
I'm not sure if this is a generally useful feature, but it shouldn't
be to hard to do yourself. Essentially, what you would need is to add
a function to clear all saved copies from the tree apart from the root
node. Accessing any node would after this need to do a recomputation
from the root.
Cheers,
Mikael
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
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My name is Travis. I am a Dad by trade, but in the meantime, I aim to put food on the
table by working as a Software Engineer. Currently, I am working as a Fiber Engineer
in Boulder, and learning how to build websites/webapps at the DU Bootcamp.
I believe it is important to blaze a trail that my daughter is proud to follow, which
is why working hard is my priority. Web development is fastly becoming a passion
of mine, I went to school for Mechanical Engineering, and in the process was exposed
to trace amounts of programming. Taking stuff apart, and putting it back together
has always something that has interested me, so naturally seeing behind the scenes
of this vast connection we all have known as the interet is one of the most interesting
ventures I have undertaken. So theres a brief intro to Me; thanks for taking the
time to learn a little about me. Feel free to peruse this page and get a little bit
of the technical perspective of the aforementioned... me.


price action not convincing imho. expecting capitulation soon, will be quick & violent. ur favorite engine might not be able to handle the volatility -- plan ahead. strong support around $2800-$3000. if 3k support fails it won't stop before $1000-1200, be prepared, almost ...


01. Batfleck
Despite what the rest of the internet has to say on the subject, I've always been a fan of Ben Affleck. I forgive him for the J-Lo phase (we all make mistakes), and he has certainly come a long way since 2003's Daredevil.
Against all odds, and a bevy of naysayers, everyone seems to agree, this just might be the greatest movie incarnation of Batman we have ever seen. Utterly menacing and brutally bad-ass, this is the first Batman that I truly fear, and I mean that in a good way. I mean seriously, would you want to run into this guy in a dark alley?
~ Shudder ~
02. Gal Gadot's Wonder Woman
Another casting choice that set the internet on fire, but she's sure done a 180, with early reviews hailing her as the best part of the movie, especially considering that she probably has a miniscule amount of screen time in comparison to her male superhero counterparts. I could write an entire article on why I think her casting alone is an important step forward for Hollywood, but I'll hold off on that till I've seen the movie. But rest assured, from what I've seen and heard so far, this woman is both beauty and beast in the best way possible.
03. Conflicted Superman
If I had to choose one thing that I liked about Man of Steel, I would say Henry Cavill. If I had to choose two, then the other would be that the Superman of that movie was more humanized than anything I had seen before. He made mistakes, he ran away from his powers, and he had realistic human parents who mentored him in exactly the way we would expect our parents to treat us if we suddenly manifested superhuman strength; with protective caution. The world is a scary place, and humans tend to be the worst thing about it, so it makes sense for Superman, as an outsider, to be weary and conflicted about how he goes about things. BvS is poised to bring us more depth in that aspect.
04. The Lex Luthor of today
It seems like almost every casting decision in this movie has been met with trepidation, and Jesse Eisenberg as Lex Luthor is one that still hasn't proven itself to be bankable. But from what they've given us so far, it seems like this incarnation of the billionaire mastermind is moulded after what most modern billionaires look like today. Young, casual, socially awkward, unassuming enough that we would trust them with vast amounts of our personal information… remind you of anyone? (Zucker…cough). And if that's the case, then who better to play this new Luthor than the very actor who is renowned for portraying one of the real-life billionaire masterminds of our generation.
05. Action Action Action
Say what you want about Zach Snyder, but the man knows how to give us great action scenes. And from that Batman trailer sequence alone (you already know what I'm referring to, because yes it was that good), I think it's safe to expect beautiful and brutal action, which is what Zach Snyder excels at capturing (for evidence, see: 300).
06. Story, story, story
BvS is setting up to tackle some heady issues.
Balance of power
The consequences of conflict
Media bias
Government suspicion
Corruption of justice
Prejudice
Conspiracy theories
Faith in humanity as a whole
...just to name a few. Just to be clear, this movie has a flying alien, glowing meteorites, a genetic hybrid monster, and a grown man dressed as a bat. Throwing these real world topics into the mix is what will make the movie worth investing in emotionally.


Wet dreams come true
by sinecura14 funniest facts about the US election that will kill you with laughter
Legit.ng News ★ The US elections has had long and sometimes hilarious history. Here are some of the funniest facts about the US election and its politics.www.legit.ng
Кандидат от Демократической партии Эл Смит против сухого закона.
Президентская компания в США 1928 года.


RSM Classic: Webb Simpson leads by one after first round at Sea Island
by Press AssociationFormer US Open champion Webb Simpson shot a seven-under par 65 to take a one-stroke lead after the first round of the RSM Classic.
First round leaderboard
-7 Simpson
-6 Tringale, Lee, Gibson
-5 Harrington, Duncan, Harmon, Cejka, Sabbitini
Day one report
Webb Simpson, the world number 12 and highest-ranked player in the PGA Tour event, holed eight birdies as he played the Plantation Course at the Sea Island Resort in Georgia first.
Fellow American Cameron Tringale and Korea's Lee Kyoung-hoon, who played their first rounds over the Seaside Course, and Australian Rhein Gibson (Plantation) were in a three-way tie on six under.
Germany's Alex Cejka (Plantation) was the highest-placed European, in a group of nine on five under, after a 67.
Former world number one Luke Donald was in a tie for 43rd on two under along with Scotland's Martin Laird after both played Plantation.
The shot of the day was played by American Johnson Wagner, who holed a three wood for an albatross on the par-five 15th at Seaside. It was his third career albatross and ensured he finished the day three under.


util package¶
Submodules¶
util.ct_util module¶
-
util.ct_util.
apply_window
(img, w_center, w_width, y_min=0.0, y_max=255.0, dtype=<class 'numpy.uint8'>)¶ Window a NumPy array of raw Hounsfield Units.
Parameters: - img – Image to apply the window to. NumPy array of any shape.
- w_center – Center of window.
- w_width – Width of window.
- y_min – Min value for output image.
- y_max – Max value for output image
- dtype – Data type for elements in output image ndarray.
Returns: NumPy array of after windowing. Values in range [y_min, y_max].
Return type: img_np
-
util.ct_util.
normalize_hu
(volume, min_val, max_val, avg_val)¶ Normalize an ndarray of Hounsfield Units to [-1, 1].
Clips the values to [min, max] and scales into [0, 1], then subtracts the mean pixel (min, max, mean are defined in constants.py).
Parameters: - volume – NumPy ndarray to convert. Any shape.
- min_val – Minimum HU value. All lower values get clipped here.
- max_val – Maximum HU value. All higher values get clipped here.
- avg_val – Average HU value of training set after clipping and scaling to [0, 1].
Returns: NumPy ndarray with normalized pixels in [-1, 1]. Same shape as input.
-
util.ct_util.
un_normalize_hu
(tensor, pixel_dict, dtype=<class 'numpy.int16'>)¶ Un-normalize a PyTorch Tensor seen by the model into a NumPy array of pixels fit for visualization. If using raw Hounsfield Units, window the input.
Parameters: - tensor – Tensor with pixel values in range (-1, 1). If video, shape (batch_size, num_channels, num_frames, height, width). If image, shape (batch_size, num_channels, height, width).
- pixel_dict – Dictionary containing min, max, avg of pixel data; window center, width.
- dtype – Desired output data type for each entry the image array.
Returns: Numpy ndarray with entries of type dtype.
Return type: pixels_np
util.image_util module¶
-
class
util.image_util.
UnNormalize
(mean, std)¶ Bases:
object
-
__call__
(tensor)¶ Parameters: tensor (Tensor) – Tensor image of size (C, H, W) to be normalized. Returns: Normalized image. Return type: Tensor
-
-
util.image_util.
add_heat_map
(original_image, intensities_np, alpha_img=0.33, color_map='magma', normalize=True)¶ Add a CAM heat map as an overlay on a PNG image.
Parameters: - original_image – Pixels to add the heat map on top of. Must be in range (0, 1).
- intensities_np – Intensity values for the heat map. Must be in range (0, 1).
- alpha_img – Weight for image when summing with heat map. Must be in range (0, 1).
- color_map – Color map scheme to use with PyPlot.
- normalize – If True, normalize the intensities to range exactly from 0 to 1.
Returns: Original pixels with heat map overlaid.
-
util.image_util.
apply_window
(img, w_center, w_width, y_min=0.0, y_max=255.0, dtype=<class 'numpy.uint8'>)¶ Window a NumPy array of raw Hounsfield Units.
Parameters: - img – Image to apply the window to. NumPy array of any shape.
- w_center – Center of window.
- w_width – Width of window.
- y_min – Min value for output image.
- y_max – Max value for output image
- dtype – Data type for elements in output image ndarray.
Returns: NumPy array of after windowing. Values in range [y_min, y_max].
Return type: img_np
-
util.image_util.
concat_images
(images, spacing=10)¶ Concatenate a list of images to form a single row image.
Parameters: - images – Iterable of numpy arrays, each holding an image.
- have same height, num_channels, and have dtype np.uint8. (Must) –
- spacing – Number of pixels between each image.
Returns: Numpy array. Result of concatenating the images in images into a single row.
-
util.image_util.
dcm_to_png
(dcm, w_center=None, w_width=None)¶ Convert a DICOM object to a windowed PNG-format Numpy array. Add the given shift to each pixel, clip to the given window, then scale pixels to range implied by dtype (e.g., [0, 255] for uint8). Return ndarray of type dtype.
Parameters: - dcm – DICOM object.
- w_center – Window center for windowing conversion.
- w_width – Window width for windowing conversion.
-
util.image_util.
dcm_to_raw
(dcm, dtype=<class 'numpy.int16'>)¶ Convert a DICOM object to a Numpy array of raw Hounsfield Units.
Scale by the RescaleSlope, then add the RescaleIntercept (both DICOM header fields).
Parameters: - dcm – DICOM object.
- dtype – Type of elements in output array.
Returns: ndarray of shape (height, width). Pixels are int16 raw Hounsfield Units.
-
util.image_util.
get_crop
(bbox)¶ Get crop coordinates and side length given a bounding box. Force the crop to be square.
Parameters: bbox – x1, y1, x2, y2; coordinates for bounding box. Returns: Return type: x1, y1, side_length
-
util.image_util.
get_min_bbox
(box_1, box_2)¶ Get the minimal bounding box around two boxes.
Parameters: - box_1 – First box of coordinates (x1, y1, x2, y2). May be None.
- box_2 – Second box of coordinates (x1, y1, x2, y2). May be None.
-
util.image_util.
get_skull_bbox
(img)¶ Get a minimal bounding box around the skull.
Parameters: img – Numpy array of uint8’s, after windowing. Returns: Coordinates of top-left, bottom-right corners for minimal bounding box around the skull. Return type: start_x, start_y, end_x, end_y
-
util.image_util.
get_z_range
(mask)¶ Get the z-axis range for a mask.
Parameters: mask – NumPy with mask values, where 0 is treated as background. Returns: List with two elements, the min and max z-axis indices containing foreground. Return type: z_range
-
util.image_util.
mask_to_bbox
(mask)¶ Convert a mask to bounding box coordinates.
Parameters: mask – NumPy ndarray of any type, where 0 or false is treated as background. Returns: Coordinates of corresponding bounding box. Return type: x1, y1, x2, y2
-
util.image_util.
pad_to_shape
(array, output_shape, offsets, dtype=<class 'numpy.float32'>)¶ Pad an array with zeros to the desired output shape.
Parameters: - array – Array to be padded.
- output_shape – The desired shape for the output.
- offsets – List of offsets (will be prepended with zeros if fewer dimensions than output_shape).
- dtype – Data type for output array.
Returns: array padded to the given output_shape.
-
util.image_util.
resize
(cam, input_img, interpolation='linear')¶ Resizes a volume using factorized bilinear interpolation
-
util.image_util.
resize_slice_wise
(volume, slice_shape, interpolation_method=3)¶ Resize a volume slice-by-slice.
Parameters: - volume – Volume to resize.
- slice_shape – Shape for a single slice.
- interpolation_method – Interpolation method to pass to cv2.resize.
Returns: Volume after reshaping every slice.
-
util.image_util.
stack_videos
(img_list)¶ Stacks a sequence of image numpy arrays of shape (num_images x w x h x c) to display side-by-side.
-
util.image_util.
to_rgb
(img)¶
-
util.image_util.
un_normalize
(img_tensor, mean, std)¶ Un-normalize a PyTorch Tensor seen by the model into a NumPy array of pixels fit for visualization. If using raw Hounsfield Units, window the input.
Parameters: img_tensor – Normalized tensor using mean and std. Tensor with pixel values in range (-1, 1). Returns: Numpy ndarray with values between 0 and 1. Return type: unnormalized_img
util.io_util module¶
-
util.io_util.
args_to_list
(csv, allow_empty, arg_type=<class 'int'>, allow_negative=True)¶ Convert comma-separated arguments to a list.
Parameters: - csv – Comma-separated list of arguments as a string.
- allow_empty – If True, allow the list to be empty. Otherwise return None instead of empty list.
- arg_type – Argument type in the list.
- allow_negative – If True, allow negative inputs.
Returns: List of arguments, converted to arg_type.
-
util.io_util.
print_err
(*args, **kwargs)¶ Print a message to stderr.
-
util.io_util.
str_to_bool
(arg)¶ Convert an argument string into its boolean value.
Parameters: arg – String representing a bool. Returns: Boolean value for the string.
util.label_util module¶
-
util.label_util.
get_study_id
(path)¶ Get a unique study ID from a (study or image) path.
- For example:
- /deep/group/xray4all/images/valid/patient64542/study1 -> valid/patient64542/study1
Parameters: path (str) – Path to convert to study_id.
util.optim_util module¶
-
util.optim_util.
get_optimizer
(parameters, optim_args)¶ Get a PyTorch optimizer for params.
Parameters: - parameters – Iterator of network parameters to optimize (i.e., model.parameters()).
- optim_args – Command line arguments.
Returns: PyTorch optimizer specified by args_.
-
util.optim_util.
get_scheduler
(optimizer, optim_args)¶ Get a learning rate scheduler.
Parameters: - optimizer – The optimizer whose learning rate is modified by the returned scheduler.
- args – Command line arguments.
Returns: PyTorch scheduler that update the learning rate for optimizer.
-
util.optim_util.
step_scheduler
(lr_scheduler, metrics, lr_step, best_ckpt_metric='stanford-valid_loss')¶ Step a LR scheduler.
Parameters: - lr_scheduler – Scheduler to step.
- metrics – Dictionary of metrics.
- lr_step – Number of times step_scheduler has been called.
- best_ckpt_metric – Name of metric to use to determine the best checkpoint.
util.patch_util module¶
Helper functions to process patches from WSI images
-
util.patch_util.
add_heat_map
(pixels_np, intensities_np, alpha_img=0.33, color_map='magma', normalize=True)¶ Add a CAM heat map as an overlay on a PNG image.
Parameters: - pixels_np – Pixels to add the heat map on top of. Must be in range (0, 1).
- intensities_np – Intensity values for the heat map. Must be in range (0, 1).
- alpha_img – Weight for image when summing with heat map. Must be in range (0, 1).
- color_map – Color map scheme to use with PyPlot.
- normalize – If True, normalize the intensities to range exactly from 0 to 1.
Returns: Original pixels with heat map overlaid.
-
util.patch_util.
create_whole_slide_image_from_patches_flat_list
(patches, num_patches_in_row, num_patches_in_col, tumor_patch_indices=[], stride=16)¶
-
util.patch_util.
create_whole_slide_image_from_slide_name_and_meta
(hdf5_fh, slide_name, slide_meta)¶
-
util.patch_util.
get_patch_indices_that_contain_tumor
(patches)¶
-
util.patch_util.
get_patches_as_flat_list_from_slide
(hdf5_fh, slide_name, chunk_size=16, image_resolution=16)¶
-
util.patch_util.
get_plot
(title, curve)¶ Get a NumPy array for the given curve. :param title: Name of curve. :param curve: NumPy array of x and y coordinates.
Returns: NumPy array to be used as a PNG image.
-
util.patch_util.
get_tumor_patch_indices_from_slide
(hdf5_fh, slide_name, verbose=False)¶
-
util.patch_util.
is_patch_tumor
(patch)¶ Uses Hue and Saturation to select tumour patches
-
util.patch_util.
normalize
(pixels, pixel_dict)¶
-
util.patch_util.
un_normalize
(tensor, pixel_dict)¶ Un-normalize a PyTorch Tensor seen by the model into a NumPy array of pixels fit for visualization. :param tensor: Tensor with pixel values in range (-1, 1).
If image, shape (batch_size, num_channels, height, width).Parameters: pixel_dict – Dictionary containing min, max, avg (array with 3 elements in mean of pixel data; window center, width. Returns: Numpy ndarray with entries of type uint8. Return type: pixels
util.torch_util module¶
-
util.torch_util.
uncertain_logits_to_probs
(logits)¶ Convert explicit uncertainty modeling logits to probabilities P(is_abnormal).
Parameters: logits – Input of shape (batch_size, num_tasks * 3). Returns: - Output of shape (batch_size, num_tasks).
- Position (i, j) interpreted as P(example i has pathology j).
Return type: probs


Wwirew1558.github.io
Download - IFM 01D100 - Manuals. Ifm electronic, rated min. 32 V, 80 °C, available upon request from ifm electronic or use any alternate R/C (CYJV2) cord, having the same or better ratings, suitable for field wiring.
VTV122 ifm electronic Vibration Sensor 20 mA -30°C.
VTV Series Vibration switches. Ifm electronic VTV series vibration transmitters monitor machinery and equipment according to ISO 10816. The robust design, high IP Rating and high temperature rating are suitable for use in harsh environments. IFM 01D100 Suche Bedienungsanleitung, Anweisungen Buch, Benutzerhandbuch, Treiber, Schaltpläne, Ersatzteile.
Operating instructions Vibration transmitter UK VTV122.
Ifm - automation made in Germany. Schwingungstransmitter ifm electronic VTV122 Automation24. Ifm electronic gmbh – Automation made in Germany. Quality, innovation, exceptional service and more than 40 years close to the user: ifm electronic is the right choice in terms of automation.
Ifm Electronic Vtv122 Bedienungsanleitung. Bedienungsanleitung (deutsch) - IFM Electronic - Yumpu. Ifm Electronic VTV122. Explore ifm Electronic on Octopart: the fastest source for datasheets, pricing, specs and availability. Searching for IFM products? Grainger s got your back. Easy ordering convenient delivery. Log-in or register for your pricing. Schwingungstransmitter ifm electronic VTV122 jetzt zum Top-Preis online bei Automation24 bestellen – 24 h Lieferservice. Vibration transmitter ifm efector VTV122 Automation24. Bedienungsanleitung (deutsch) - IFM Lies mehr über Schaltschwelle, Elektrischer, Wartung, Instandsetzung, Montage und Technische. IFM products - Grainger Industrial Supply. The vibration transmitter VTV122 from ifm electronic guarantees a reliable permanent monitoring of the total vibration according to DIN ISO 10816, and operates in a frequency range of 10-1,000.


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|
Bitstream Interpretation Library (BIL)
0.1
|
Contains definition of Virtex-5 device names, IDs, and address layouts. More...
Go to the source code of this file.
Macros | |
| #define | V5DATA_GENDATA_HPP |
Variables | |
| const size_t | V5_DEVICE_COUNT = 26 |
| number of devices in Virtex-5 family | |
| const char *const | V5_DEVICE_NAMES [V5_DEVICE_COUNT] |
| Virtex-5 device names. | |
| const boost::uint32_t | V5_DEVICE_IDS [V5_DEVICE_COUNT] |
| Virtex-5 device IDs. | |
| const bil::V5AddressLayout | V5_ADDRESS_LAYOUTS [V5_DEVICE_COUNT] |
| Virtex-5 address layouts. |
Contains definition of Virtex-5 device names, IDs, and address layouts.
Definition in file v5data_genData.hpp.
| #define V5DATA_GENDATA_HPP |
Definition at line 8 of file v5data_genData.hpp.
| const size_t V5_DEVICE_COUNT = 26 |
number of devices in Virtex-5 family
Definition at line 16 of file v5data_genData.hpp.
| const char* const V5_DEVICE_NAMES[V5_DEVICE_COUNT] |
Virtex-5 device names.
Definition at line 13 of file v5data_genData.cpp.
| const boost::uint32_t V5_DEVICE_IDS[V5_DEVICE_COUNT] |
Virtex-5 device IDs.
Definition at line 48 of file v5data_genData.cpp.
| const bil::V5AddressLayout V5_ADDRESS_LAYOUTS[V5_DEVICE_COUNT] |
Virtex-5 address layouts.
Definition at line 83 of file v5data_genData.cpp.


This example demonstrates the keyboard navigation of Telerik Editor for ASP.NET MVC.
Keyboard Shortcuts:
- CTRL + B - make the selected text bold
- CTRL + I - italicize the selected text
- CTRL + U - underline the selected text
- CTRL + K - create a link to a web page
- CTRL + SHIFT + K - remove a link to a web page
- Alt + F10 - move focus to the first button in the toolbar
- Left or Right - move between toolbar buttons
- Down or Up - move between options in toolbar lists (fonts,
font sizes etc)
- Enter - execute the current command
- Esc - move focus back to the content area to continue typing


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
Underperformance will be tackled - with the government stepping in to turn around the weakest providers.
Radically reformed performance tables for colleges and school sixth-forms will provide a raft of new information so young people can make the right choices for their futures.
Schools Minister David Laws said today that the new tables will show how colleges and sixth-forms were performing across a range of indicators.
This will mean the 1.6 million young people in post-16 education each year will be able to make informed choices about the qualifications and courses they take and the institutions they attend, he added.
Ambitious new minimum standards will also mean that underperforming colleges and sixth-forms will be highlighted and held to account.
Those that fail to meet the standards required will face intervention from the government.
A new measure will also show how well post-16 providers do in helping young people get a C or better in English and maths. As of this academic year, all young people who go into post-16 education without a grade C in those subjects must continue to study them until they get a C or better.
The overhaul - set out in a consultation launched today on accountability for providers of 16 to 19 education - will:
The Organisation for Economic Co-operation and Development ( OECD ) is clear that the best education systems in the world are characterised by strong accountability systems which highlight the performance of all providers and which give clear information to parents and young people.
David Laws said:
To build a stronger economy and a fairer society it is vital we raise standards so all our colleges and sixth-forms perform to a high level. We are already seeing how both primary and secondary schools have responded to the challenge we set them - and we expect these new accountability measures in the post-16 sector to have an equally positive impact.
It is high time that parents and young people were given the full picture of performance in all schools and colleges so they can make the choices that are best for them.
Professor Alison Wolf, whose 2011 review of vocational education paved the way for the reforms to the system, said:
I am delighted that new accountability measures recognise the varied nature of young people’s post-16 studies. They will provide detailed and meaningful information on what schools and colleges are doing, and help students to choose programmes which are good and right for them.
The government has already undertaken significant reform of 16 to 19 education and training by:
There will be 5 key measures in new 16 to 19 performance tables to hold schools and colleges to account. These will be on attainment, destinations, completion, progress, and combined attainment and completion.
Additional measures will show how well school sixth-forms and colleges do in helping their poorer students get good qualifications (a pupil premium measure) and what proportion of students achieve the new TechBacc (a performance measure which is achieved if a young person gets a good maths qualification at a higher level than GCSE , the extended project and a high-quality, graded vocational qualification).
Download the consultation document on 16-19 accountability . The consultation will run for 10 weeks.
Professor Alison Wolf CBE is the Sir Roy Griffiths Professor of Public Sector Management at King’s College London, and specialises in the relationship between education and the labour market. She has a particular interest in training and skills policy, universities, and the medical workforce. The latter is particularly appropriate to the chair she holds, established in memory of an influential government adviser on medical management. She has been a specialist adviser to the select committee on education and skills.
Download Professor Wolf’s review .
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 12 September 2013


| 011:038 Khan | : |
And as he was constructing the ship, whenever the chiefs of his people passed by him, they made a mockery of him. He said: "If you mock at us, so do we mock at you likewise for your mocking. |
| 011:038 Maulana | : |
And he began to make the ark. And whenever the chiefs of his people passed by him, they laughed at him. He said: If you laugh at us, surely we, too, laugh at you as you laugh (at us). |
| 011:038 Pickthal | : |
And he was building the ship, and every time that chieftains of his people passed him, they made mock of him. He said: Though ye make mock of Us, yet We mock at you even as ye mock; |
| 011:038 Rashad | : |
While he was building the ark, whenever some of his people passed by him they laughed at him. He said, "You may be laughing at us, but we are laughing at you, just as you are laughing. |
| 011:038 Sarwar | : |
(Noah) started to build the Ark but whenever some of his people passed by, they would mock him. He in return would reply, "Mock us, but just as you mock us, we, too, will mock you. |
| 011:038 Shakir | : |
And he began to make the ark; and whenever the chiefs from among his people passed by him they laughed at him. He said: If you laugh at us, surely we too laugh at you as you laugh (at us). |
| 011:038 Sherali | : |
And he started making the Ark; and every time the chiefs of his people passed by him, they mocked at him. He said, 'If now you mock at us, the time is coming when we shall mock at you even just as you mock now. |
| 011:038 Yusufali | : |
Forthwith he (starts) constructing the Ark: Every time that the chiefs of his people passed by him, they threw ridicule on him. He said: "If ye ridicule us now, we (in our turn) can look down on you with ridicule likewise! |
Concepts/Themes Covered: الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > السخرية Man and The Moral Relations>The Dispraised Morals>Sarcasm
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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