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SimpleITK
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Simple Linear Iterative Clustering (SLIC) super-pixel segmentation. More...
#include <sitkSLICImageFilter.h>
Public Types | |
| using | PixelIDTypeList = typelist2::append< BasicPixelIDTypeList, VectorPixelIDTypeList >::type |
| using | Self = SLICImageFilter |
| Public Types inherited from itk::simple::ImageFilter | |
| using | Self = ImageFilter |
| Public Types inherited from itk::simple::ProcessObject | |
| using | Self = ProcessObject |
Public Member Functions | |
| Self & | EnforceConnectivityOff () |
| Self & | EnforceConnectivityOn () |
| Image | Execute (const Image &image1) |
| double | GetAverageResidual () const |
| Get the current average cluster residual. After each iteration the residual is computed as the distance between the current clusters and the previous. This is averaged so that the value is independent of the number of clusters. More... | |
| bool | GetEnforceConnectivity () const |
| bool | GetInitializationPerturbation () const |
| uint32_t | GetMaximumNumberOfIterations () const |
| std::string | GetName () const |
| double | GetSpatialProximityWeight () const |
| std::vector< unsigned int > | GetSuperGridSize () const |
| Self & | InitializationPerturbationOff () |
| Self & | InitializationPerturbationOn () |
| Self & | SetEnforceConnectivity (bool EnforceConnectivity) |
| Post processing step to enforce superpixel morphology. Enable an additional computation which ensures all label pixels of the same value are spatially connected. Disconnected labeled components are assigned a new value if of sufficient size, or are relabeled to the previously encountered value if small. More... | |
| Self & | SetInitializationPerturbation (bool InitializationPerturbation) |
| Enable perturbation of initial cluster center location. After grid based initialization, this option enables moving the initial cluster center location to the minimum gradient in a small neighborhood. If the grid size is less than three this is automatically disabled. More... | |
| Self & | SetMaximumNumberOfIterations (uint32_t MaximumNumberOfIterations) |
| Number of iterations to run. Specify the number of iterations to run when optimizing the clusters. More... | |
| Self & | SetSpatialProximityWeight (double SpatialProximityWeight) |
| The spatial weight for the distance function. Increasing this value makes the superpixel shape more regular, but more varied in image values. The range of the pixel values and image dimension can effect the appropriate value. More... | |
| Self & | SetSuperGridSize (std::vector< unsigned int > SuperGridSize) |
| SLICImageFilter () | |
| std::string | ToString () const |
| virtual | ~SLICImageFilter () |
| Public Member Functions inherited from itk::simple::ImageFilter | |
| ImageFilter () | |
| virtual | ~ImageFilter ()=0 |
| Public Member Functions inherited from itk::simple::ProcessObject | |
| virtual void | Abort () |
| virtual int | AddCommand (itk::simple::EventEnum event, const std::function< void()> &func) |
| Directly add a callback to observe an event. More... | |
| virtual int | AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd) |
| Add a Command Object to observer the event. More... | |
| virtual float | GetProgress () const |
| An Active Measurement of the progress of execution. More... | |
| virtual bool | HasCommand (itk::simple::EventEnum event) const |
| Query of this object has any registered commands for event. More... | |
| ProcessObject () | |
| virtual void | RemoveAllCommands () |
| Remove all registered commands. More... | |
| virtual | ~ProcessObject () |
| virtual void | DebugOn () |
| virtual void | DebugOff () |
| virtual bool | GetDebug () const |
| virtual void | SetDebug (bool debugFlag) |
| virtual void | SetNumberOfThreads (unsigned int n) |
| virtual unsigned int | GetNumberOfThreads () const |
| virtual void | SetNumberOfWorkUnits (unsigned int n) |
| virtual unsigned int | GetNumberOfWorkUnits () const |
Private Types | |
| using | MemberFunctionType = Image(Self::*)(const Image &image1) |
Private Member Functions | |
| template<class TImageType > | |
| Image | ExecuteInternal (const Image &image1) |
Private Attributes | |
| bool | m_EnforceConnectivity {true} |
| itk::ProcessObject * | m_Filter {nullptr} |
| bool | m_InitializationPerturbation {true} |
| uint32_t | m_MaximumNumberOfIterations {5u} |
| std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > | m_MemberFactory |
| std::function< double()> | m_pfGetAverageResidual |
| double | m_SpatialProximityWeight {10.0} |
| std::vector< unsigned int > | m_SuperGridSize {std::vector<unsigned int>(3, 50)} |
Friends | |
| struct | detail::MemberFunctionAddressor< MemberFunctionType > |
Additional Inherited Members | |
| Static Public Member Functions inherited from itk::simple::ProcessObject | |
| static bool | GetGlobalDefaultDebug () |
| static void | GlobalDefaultDebugOff () |
| static void | GlobalDefaultDebugOn () |
| static void | SetGlobalDefaultDebug (bool debugFlag) |
| static void | GlobalWarningDisplayOn () |
| static void | GlobalWarningDisplayOff () |
| static void | SetGlobalWarningDisplay (bool flag) |
| static bool | GetGlobalWarningDisplay () |
| static double | GetGlobalDefaultCoordinateTolerance () |
| Access the global tolerance to determine congruent spaces. More... | |
| static void | SetGlobalDefaultCoordinateTolerance (double) |
| Access the global tolerance to determine congruent spaces. More... | |
| static double | GetGlobalDefaultDirectionTolerance () |
| Access the global tolerance to determine congruent spaces. More... | |
| static void | SetGlobalDefaultDirectionTolerance (double) |
| Access the global tolerance to determine congruent spaces. More... | |
| static bool | SetGlobalDefaultThreader (const std::string &threader) |
| Set/Get the default threader used for process objects. More... | |
| static std::string | GetGlobalDefaultThreader () |
| Set/Get the default threader used for process objects. More... | |
| static void | SetGlobalDefaultNumberOfThreads (unsigned int n) |
| static unsigned int | GetGlobalDefaultNumberOfThreads () |
| Set/Get the default threader used for process objects. More... | |
| Protected Member Functions inherited from itk::simple::ImageFilter | |
| void | CheckImageMatchingDimension (const Image &image1, const Image &image2, const std::string &image2Name) |
| void | CheckImageMatchingPixelType (const Image &image1, const Image &image2, const std::string &image2Name) |
| void | CheckImageMatchingSize (const Image &image1, const Image &image2, const std::string &image2Name) |
| Protected Member Functions inherited from itk::simple::ProcessObject | |
| virtual unsigned long | AddITKObserver (const itk::EventObject &, itk::Command *) |
| virtual itk::ProcessObject * | GetActiveProcess () |
| virtual void | OnActiveProcessDelete () |
| virtual void | onCommandDelete (const itk::simple::Command *cmd) noexcept |
| virtual void | PreUpdate (itk::ProcessObject *p) |
| virtual void | RemoveITKObserver (EventCommand &e) |
| Protected Member Functions inherited from itk::simple::NonCopyable | |
| NonCopyable ()=default | |
| NonCopyable (const NonCopyable &)=delete | |
| NonCopyable & | operator= (const NonCopyable &)=delete |
| Static Protected Member Functions inherited from itk::simple::ImageFilter | |
| template<class TImageType > | |
| static void | FixNonZeroIndex (TImageType *img) |
| Static Protected Member Functions inherited from itk::simple::ProcessObject | |
| template<class TImageType > | |
| static TImageType::ConstPointer | CastImageToITK (const Image &img) |
| template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector> | |
| static Image | CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img) |
| template<unsigned int VImageDimension, unsigned int VLength, template< unsigned int > class TVector> | |
| static Image | CastITKToImage (itk::Image< TVector< VLength >, VImageDimension > *img) |
| template<class TImageType > | |
| static Image | CastITKToImage (TImageType *img) |
| static const itk::EventObject & | GetITKEventObject (EventEnum e) |
| template<typename T > | |
| static std::ostream & | ToStringHelper (std::ostream &os, const T &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const char &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const signed char &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const unsigned char &v) |
Simple Linear Iterative Clustering (SLIC) super-pixel segmentation.
The Simple Linear Iterative Clustering (SLIC) algorithm groups pixels into a set of labeled regions or super-pixels. Super-pixels follow natural image boundaries, are compact, and are nearly uniform regions which can be used as a larger primitive for more efficient computation. The SLIC algorithm can be viewed as a spatially constrained iterative k-means method.
The original algorithm was designed to cluster on the joint domain of the images index space and its CIELAB color space. This implementation works with images of arbitrary dimension as well as scalar, single channel, images and most multi-component image types including ITK's arbitrary length VectorImage .
The distance between a pixel and a cluster is the sum of squares of the difference between their joint range and domains ( index and value ). The computation is done in index space with scales provided by the SpatialProximityWeight parameters.
The output is a label image with each label representing a superpixel cluster. Every pixel in the output is labeled, and the starting label id is zero.
This code was contributed in the Insight Journal paper: "Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach" by Lowekamp B. C., Chen D. T., Yaniv Z., Yoo T. S. https://www.insight-journal.org/browse/publication/989
Definition at line 51 of file sitkSLICImageFilter.h.
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private |
Setup for member function dispatching
Definition at line 146 of file sitkSLICImageFilter.h.
| using itk::simple::SLICImageFilter::PixelIDTypeList = typelist2::append<BasicPixelIDTypeList, VectorPixelIDTypeList>::type |
Define the pixels types supported by this filter
Definition at line 63 of file sitkSLICImageFilter.h.
Definition at line 53 of file sitkSLICImageFilter.h.
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virtual |
Destructor
| itk::simple::SLICImageFilter::SLICImageFilter | ( | ) |
Default Constructor that takes no arguments and initializes default parameters
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inline |
Definition at line 102 of file sitkSLICImageFilter.h.
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inline |
Set the value of EnforceConnectivity to true or false respectfully.
Definition at line 101 of file sitkSLICImageFilter.h.
Execute the filter on the input image
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private |
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inline |
Get the current average cluster residual. After each iteration the residual is computed as the distance between the current clusters and the previous. This is averaged so that the value is independent of the number of clusters.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 128 of file sitkSLICImageFilter.h.
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inline |
Definition at line 106 of file sitkSLICImageFilter.h.
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inline |
Definition at line 120 of file sitkSLICImageFilter.h.
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inline |
Definition at line 92 of file sitkSLICImageFilter.h.
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inlinevirtual |
Name of this class
Implements itk::simple::ProcessObject.
Definition at line 132 of file sitkSLICImageFilter.h.
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inline |
Definition at line 82 of file sitkSLICImageFilter.h.
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inline |
Definition at line 72 of file sitkSLICImageFilter.h.
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inline |
Definition at line 116 of file sitkSLICImageFilter.h.
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inline |
Set the value of InitializationPerturbation to true or false respectfully.
Definition at line 115 of file sitkSLICImageFilter.h.
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inline |
Post processing step to enforce superpixel morphology. Enable an additional computation which ensures all label pixels of the same value are spatially connected. Disconnected labeled components are assigned a new value if of sufficient size, or are relabeled to the previously encountered value if small.
Definition at line 98 of file sitkSLICImageFilter.h.
|
inline |
Enable perturbation of initial cluster center location. After grid based initialization, this option enables moving the initial cluster center location to the minimum gradient in a small neighborhood. If the grid size is less than three this is automatically disabled.
Definition at line 112 of file sitkSLICImageFilter.h.
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inline |
Number of iterations to run. Specify the number of iterations to run when optimizing the clusters.
Definition at line 88 of file sitkSLICImageFilter.h.
|
inline |
The spatial weight for the distance function. Increasing this value makes the superpixel shape more regular, but more varied in image values. The range of the pixel values and image dimension can effect the appropriate value.
Definition at line 78 of file sitkSLICImageFilter.h.
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inline |
Definition at line 68 of file sitkSLICImageFilter.h.
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virtual |
Print ourselves out
Reimplemented from itk::simple::ProcessObject.
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friend |
Definition at line 150 of file sitkSLICImageFilter.h.
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private |
Definition at line 163 of file sitkSLICImageFilter.h.
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private |
Definition at line 171 of file sitkSLICImageFilter.h.
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private |
Definition at line 165 of file sitkSLICImageFilter.h.
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private |
Definition at line 161 of file sitkSLICImageFilter.h.
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private |
Definition at line 152 of file sitkSLICImageFilter.h.
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private |
Definition at line 168 of file sitkSLICImageFilter.h.
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private |
Definition at line 158 of file sitkSLICImageFilter.h.
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private |
Definition at line 156 of file sitkSLICImageFilter.h.


Several stabbed in London bridge attack ― Police
by Rasheed SobowaleBritish police shot a man on Friday after a stabbing in the London Bridge area in the centre of the city.
A video clip on Twitter filmed from a high vantage point showed what appeared to be three police officers backing away from a man lying on the pavement.
Two officers are pointing rifles at the man, who can be seen moving slightly. Reuters could not independently verify the footage.
“One man has been shot by police,” police said. “As a precaution, we are currently responding to this incident as though it is terror-related,” they added.
Police were called at 1:58 p.m. to a stabbing at premises near London Bridge. Reuters earlier quoted a security source saying that a man had been shot after a stabbing.
A number of people have been injured.
Sky News said there was at least one fatality and that the person killed was not a suspect. Reuters was unable to confirm that report.
ALSO READ: South African police officer found guilty of killing a Nigerian
Reuters pictures showed several police cars and buses on the bridge. Armed police, some with dogs, patrolled the surrounding streets.
The ambulance service declared what it called a “major incident” in the area and London Bridge, a major commuter hub, station was closed.
People in buildings around the scene were evacuated to the north side of the River Thames by security services.
ALSO READ: Several injured after stabbing near London Bridge: police
Prime Minister Boris Johnson was on his way back to Downing Street to receive updates.
He said in a statement: “I’m being kept updated on the incident at London Bridge and want to thank the police and all emergency services for their immediate response.”
VIDEO (Source: Twitter):
London Bridge was the scene of an attack in June 2017 when three militants drove a van into pedestrians and then attacked people in the surrounding area, killing eight people.
Earlier this month, Britain lowered its national terrorism threat level to “substantial” from “severe”, its lowest level since 2014.
[Most contribution from: Reuters]


com.ticketmanor.model.recording
Classes
Actor
Duration
MusicRecording
Recording
Track
VideoRecording
Enums
MusicCategory


The list-style property is a shorthand property. It is used to set all the list properties in one declaration
When using the shorthand property, the order of the property values are:
list-style-type (if a list-style-image is specified, the value of this property will be displayed if the image for some reason cannot be displayed)
list-style-position (specifies whether the list-item markers should appear inside or outside the content flow)
list-style-image (specifies an image as the list item marker)
If one of the property values above are missing, the default value for the missing property will be inserted, if any.
List Style Shorthand
- As long as you love me, We are under pressure, seven million people in the world try to fit in. Keep it together, smile on your face even though your heart is drowning. But hey now, you know girl.  But I will take my chances yeah...
- As long as you love me, I will be your platinum, I will be your silver, I will be your gold. As long as you love me, we could be starving, we could be homeless, we could be broke. As long as you love me... love me.... love... me........................
- I will be your soldier, fighting every second of the day for your needs gal. I will be your whole world. You could be my destiny on the side of my queen gal... So don't stress and don't cry... Coz we don't need wings to fly... But i will take my chances yeahhh..........


{{gameState.currentGame.board[0][0] | marker}}
{{gameState.currentGame.board[0][1] | marker}}
{{gameState.currentGame.board[0][2] | marker}}
{{gameState.currentGame.board[1][0] | marker}}
{{gameState.currentGame.board[1][1] | marker}}
{{gameState.currentGame.board[1][2] | marker}}
{{gameState.currentGame.board[2][0] | marker}}
{{gameState.currentGame.board[2][1] | marker}}
{{gameState.currentGame.board[2][2] | marker}}
Move was {{gameState.currentTurnResult | turnResult}}
Who's Turn is it: {{gameState.currentGame.whosTurnIsIt | marker}}
Current Turn:
{{gameState.currentGame.currentTurn}}


The children of any element can be filtered by setting the attribute data-filter="true"
on the element. By default, the text contained in each child is used for filtering, however, you also have the option of setting the attribute data-filtertext
to a string value on any child that will be considered for filtering to associate custom filter text instead.
Basic filter
The filter widget is based on and replaces the listview filter extension. Thus, you can set data-filter="true"
on a listview to generate a filter for its list items.
Nevertheless, the way in which a filterable is constructed differs from the way the listview filter extension worked in one important regard: the text field for entering the search string is not provided. Instead, you can provide the text field in your markup and have the filterable make use of it by providing a selector that will retrieve the text field as the value of the filterable's data-input
attribute. Add class ui-filterable
to the form
in which you wrap the search input or to the listview to have the framework adjust the margin between the text field and listview.
The deprecated behavior whereby the filterable injects a text field before the element whose children are to be filtered is retained for version 1.4.0 to help with the transition from the listview filter extension, however, it will be removed in 1.5.0.
- Acura
- Audi
- BMW
- Cadillac
- Ferrari
Table filter
You are not limited to using filters on listviews. To create a filter for a table widget, set
data-filter="true"
on the table element to generate a filter for table rows.
| Rank | Movie Title | Year | Rating | Reviews |
|---|---|---|---|---|
| 1 | Citizen Kane | 1941 | 100% | 74 |
| 2 | Casablanca | 1942 | 97% | 64 |
| 3 | The Godfather | 1972 | 97% | 87 |
Controlgroup Filter
The filter widget can be used on other widgets, too. To filter a list of controlgroup buttons, declare data-filter="true"
on the element that creates the controlgroup (Note that you can also use the data-filtertext
attribute to declare the text string used for filtering the respective element.
Filter Select
The widget also works on select
widgets by hiding options that do not match the filter text. To use a filter for options
, declare the data-filter
attribute on the select element.
Filter Collapsible Set
Animals
- Cats
- Dogs
- Lizards
- Snakes
Cars
- Acura
- Audi
- BMW
- Cadillac
Planets
- Earth
- Jupiter
- Mars
- Mercury
Filter Collapsible Set and collapsible children
Animals
- Cats
- Dogs
- Lizards
- Snakes
Cars
- Acura
- Audi
- BMW
- Cadillac
Planets
- Earth
- Jupiter
- Mars
- Mercury
Filter Anything
The widget can be used for filtering on any element containing other elements, like a div
containing p
elements.
These Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam
tags nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam
Tags erat, sed diam voluptua. At vero eos et accusam et justo duo dolores
are et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est
Filterable Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur
Filter Styling
The filter widget supports the same attributes as the previous listview extension. Use data-filter-theme
to declare a specific theme for the text field (overriding inheritance). data-filter-placeholder
allows you to customize the input's placeholder text. In addition, the filterable widget will synchronize options shared between the textinput widget and the widget whose children it filters to make sure that the value of the textinput widget options is the same as the value of the widget options. So, for example, if you set data-inset="true"
on the listview, then the corresponding textinput widget will also be inset.
NOTE: This behavior is deprecated and will be removed in 1.5.0. The correct way forward is to provide the text field (or any other widget that emits the "change" signal) as part of the original markup and to pass a selector that will retrieve it to the filterable widget via the data-input
attribute.
- Acura
- Audi
- BMW
- Cadillac
- Ferrari
Filter Reveal
The filter reveal feature makes it easy to build a simple autocomplete
with local data. When a filter has the data-filter-reveal="true"
attribute, it will auto-hide all the list items when the search
field is blank. The data-filter-placeholder
attribute can be
added to specify the placeholder text for the filter. If you need to search
against a long list of values, we provide a way to create a filter with a
remote
data source.


New web project
Atoms
Typography
Buttons
Images
Lists
Tables
Forms
Molecules
Blocks
Headline byline
Headline
Hero
Inset
Media
Thumb headline
Components
Accordion
Single comment
Social share
Forms
Comment
Newsletter
Search
Media
Figure with caption
Messaging
Alert
Navigation
Breadcrumb
Footer
Pagination
Primary
Tabs
Text
Address
Blockquote with citation
Byline
Heading group
Intro


CSPICE_STPOOL retrieves the 'nth' string from the kernel pool variable
'item' , where the string may be continued across several components
of the kernel pool variable.
Given:
item the name of a kernel pool variable for which the caller
wants to retrieve a full (potentially continued) string.
[1,c1] = size(item); char = class(item)
or
[1,1] = size(item); cell = class(item)
nth the index of the string to retrieve from the kernel pool
variable 'item' (index array base 1).
[1,1] = size(nth); int32 = class(nth)
contin a sequence of characters which (if they appear as the
last non-blank sequence of characters in a component of a
value of a kernel pool variable) act as a continuation
marker: the marker indicates that the string associated
with the component containing it is continued into the
next literal component of the kernel pool variable
[1,c2] = size(contin); char = class(contin)
or
[1,1] = size(contin); cell = class(contin)
If 'contin' is a blank, all of the components of 'item'
will return as a single string.
the call:
[string, found] = cspice_stpool( item, nth, contin )
returns:
string the 'nth' scalar string value corresponding to
the kernel pool variable specified by 'item'
[1,c3] = size(string); char = class(string)
found a boolean indicating true if the request
to retrieve the 'nth' string associated with 'item'
succeeds, false, if not.
[1,1] = size(found); logical = class(found)
Any numerical results shown for this example may differ between
platforms as the results depend on the SPICE kernels used as input
and the machine specific arithmetic implementation.
%
% Load a kernel containing the variable assignment:
%
% LONG_VAL = ( 'This is part of the first component //'
% 'that needs more than one line when //'
% 'inserting it into the kernel pool.'
% 'This is the second string that is split //'
% 'up as several components of a kernel pool //'
% 'variable.' )
%
cspice_furnsh( 'pool_t.ker' )
%
% Retrieve the 'nth' entry for kernel pool variable
% 'LONG_VAL' to 'string'.
%
ITEM = 'LONG_VAL';
CONTIN = '//';
for nth=1:3
[string, found] = cspice_stpool( ITEM, nth, CONTIN );
if ( found )
fprintf( ['Found index = %d component of kernel variable %s ' ...
'in the kernel pool.\n\n'], nth, ITEM)
fprintf( 'String = ``%s``\n\n', string )
else
fprintf( ['No index = %d component of kernel variable %s ' ...
'found in the kernel pool.\n'], nth, ITEM)
end
end
%
% It's always good form to unload kernels after use,
% particularly in MATLAB due to data persistence.
%
cspice_kclear
MATLAB outputs (approximately):
Found index = 1 component of kernel variable LONG_VAL in the
kernel pool.
String = ``This is part of the first component that needs more
than one line when inserting it into the kernel pool.``
Found index = 2 component of kernel variable LONG_VAL in the
kernel pool.
String = ``This is the second string that is split up as several
components of a kernel pool variable.``
No index = 3 component of kernel variable LONG_VAL found in the
kernel pool.
None.
For important details concerning this module's function, please refer to
the CSPICE routine stpool_c.
MICE.REQ
KERNEL.REQ
-Mice Version 1.1.1, 12-MAR-2015, EDW (JPL)
Edited I/O section to conform to NAIF standard for Mice documentation.
-Mice Version 1.1.0, 10-MAY-2011, EDW (JPL)
"logical" call replaced with "zzmice_logical."
-Mice Version 1.0.0, 26-SEP-2007, EDW (JPL)
Retrieve a continued string value from the kernel pool
|


BigVideo.js
Ambient Video Example
In this example, we are showing a fullscreen background image instead of video for touchscreen devices. Another trick you can do is to use the forceAutoplay setting, which will start playing a video as soon as a user clicks anywhere on the page (videos will only play on touchscreen devices attached to a user click event)


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.collections4.functors; | |
| 18 | ||
| 19 | import java.io.Serializable; | |
| 20 | ||
| 21 | import org.apache.commons.collections4.Predicate; | |
| 22 | ||
| 23 | /** | |
| 24 | * Predicate implementation that returns true if either of the predicates return true. | |
| 25 | * | |
| 26 | * @since 3.0 | |
| 27 | * @version $Id: OrPredicate.java 1543167 2013-11-18 21:21:32Z ggregory $ | |
| 28 | */ | |
| 29 | public final class OrPredicate<T> implements PredicateDecorator<T>, Serializable { | |
| 30 | ||
| 31 | /** Serial version UID */ | |
| 32 | private static final long serialVersionUID = -8791518325735182855L; | |
| 33 | ||
| 34 | /** The array of predicates to call */ | |
| 35 | private final Predicate<? super T> iPredicate1; | |
| 36 | /** The array of predicates to call */ | |
| 37 | private final Predicate<? super T> iPredicate2; | |
| 38 | ||
| 39 | /** | |
| 40 | * Factory to create the predicate. | |
| 41 | * | |
| 42 | * @param <T> the type that the predicate queries | |
| 43 | * @param predicate1 the first predicate to check, not null | |
| 44 | * @param predicate2 the second predicate to check, not null | |
| 45 | * @return the and predicate | |
| 46 | * @throws IllegalArgumentException if either predicate is null | |
| 47 | */ | |
| 48 | public static <T> Predicate<T> orPredicate(final Predicate<? super T> predicate1, | |
| 49 | final Predicate<? super T> predicate2) { | |
| 50 |
2
1. orPredicate : negated conditional → KILLED 2. orPredicate : negated conditional → KILLED |
if (predicate1 == null || predicate2 == null) { |
| 51 | throw new IllegalArgumentException("Predicate must not be null"); | |
| 52 | } | |
| 53 |
1
1. orPredicate : mutated return of Object value for org/apache/commons/collections4/functors/OrPredicate::orPredicate to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new OrPredicate<T>(predicate1, predicate2); |
| 54 | } | |
| 55 | ||
| 56 | /** | |
| 57 | * Constructor that performs no validation. | |
| 58 | * Use orPredicate if you want that. | |
| 59 | * | |
| 60 | * @param predicate1 the first predicate to check, not null | |
| 61 | * @param predicate2 the second predicate to check, not null | |
| 62 | */ | |
| 63 | public OrPredicate(final Predicate<? super T> predicate1, final Predicate<? super T> predicate2) { | |
| 64 | super(); | |
| 65 | iPredicate1 = predicate1; | |
| 66 | iPredicate2 = predicate2; | |
| 67 | } | |
| 68 | ||
| 69 | /** | |
| 70 | * Evaluates the predicate returning true if either predicate returns true. | |
| 71 | * | |
| 72 | * @param object the input object | |
| 73 | * @return true if either decorated predicate returns true | |
| 74 | */ | |
| 75 | public boolean evaluate(final T object) { | |
| 76 |
3
1. evaluate : negated conditional → KILLED 2. evaluate : negated conditional → KILLED 3. evaluate : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return iPredicate1.evaluate(object) || iPredicate2.evaluate(object); |
| 77 | } | |
| 78 | ||
| 79 | /** | |
| 80 | * Gets the two predicates being decorated as an array. | |
| 81 | * | |
| 82 | * @return the predicates | |
| 83 | * @since 3.1 | |
| 84 | */ | |
| 85 | @SuppressWarnings("unchecked") | |
| 86 | public Predicate<? super T>[] getPredicates() { | |
| 87 |
1
1. getPredicates : mutated return of Object value for org/apache/commons/collections4/functors/OrPredicate::getPredicates to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new Predicate[] {iPredicate1, iPredicate2}; |
| 88 | } | |
| 89 | ||
| 90 | } | |
Mutations | ||
| 50 |
1.1 2.2 |
|
| 53 |
1.1 |
|
| 76 |
1.1 2.2 3.3 |
|
| 87 |
1.1 |


WFEDD Websocket Bridge Test
Send a request over a websocket to a daemon hosting a local socket on the webserver, and get a response from said daemon bridged-back over the websocket.
Websocket Path:
Request:
Send
Response:


| 1 | Press Menu button on the camera |
| 2 | Go to the Setup menu |
| 3 | Navigate to WiFi |
| 4 | Select WiFi Function |
| 5 | Select New Connection |
| 6 | Select Remote Shooting & View |
| 7 | Camera screen will now be showing the Wifi glowing beacon thing |
| 8 | Choose the SSID ID it is showing on the camera (could be GX80-blah blah) to connect your phone or laptop to |
| 9 | Camera will show message saying 'If you have not launched the smartphone application...' message |
| 10 | Load the HTML-page [Control.html] into the browser of your phone or laptop |
| 11 | Select 'Handshake 1' |
| 12 | The browser will display 'ok,GX80-xxxxx,remote,encrypted' on the bottom of the page (the xxxxxx will be your specific GX80 ID) |
| 13 | Select 'Connect (Start OTA Session)' |
| 14 | The browser will now display 'OK' on the bottom of the page and the camera will display 'Under Remote Control' |
| 15 | Wait until you see the live view image on the camera LCD |
| Credit: BTM_Pix |
| 1 | After the previous 15 steps in "Tutorial", set the camera to manual mode (M), and confirm that some appropriate camera settings, such as Shutter Speed or ISO, may be set with this HTML-page. |
| 2 | Switch the camera to movie/video mode. |
| 3 | Select Photo Style: cinelike_d [submit]. |
| 4 | The response on the bottom of this page should be 'ok' and the camera should NOT now be displaying the Photo Style you had selected previously (i.e. Standard, Vivid etc.) in top left corner of the screen of the camera. |
| 5 | Cinelike D is now active on the camera (if indeed the Photo Style indicator seems to be blank). [3] |
| 6 | If you go into the menu on the camera and select Photo Style, you will see that it is blank and you can't navigate to other Photo Styles such as Standard etc. |
| 7 | You may want to save the no-name (Cinelike D) profile as a custom Photo Style by pressing "Disp." or by saving all settings to C1, C2 or C3 custom profile bank. |
| 8 | To restore the original built-in video photo styles select Photo Style: Standard [submit] whilst in movie/video mode. |
| Credit: Jon Pais |
| Home: | Unofficial HTML version of the Panasonic Image App application |
| Fork: | Unofficial desktop Lumix Link application (the previous fork) |
| Other: | LMaster |
| Camera: | Panasonic Lumix LX10/LX15 settings |
| Credit: | lenuisible Control your GH3 from a Web Browser |
| [1] | To cancel an effect, please select Filter Setting: Off (no filter) [submit] from above. |
| [2] | May require extra/additional/different steps. |
| [2] | If the response is "ok", but the Photo Style indicator doesn't vanish, the Cinelike D is not deployed, but it might be deployable by using a different procedure or different steps. |
| Photo | ||||
| Video | |||
| Focus (AF) | ||
| Focus (MF) | |||
| Stop Motion | |||
| Geotagging (beta) | ||
| View | ||


Date :
Pincode :
OR
District :
Vaccine :
All
Covishield
Covaxin
Fee Type :
Free & Paid
Free Only
Paid Only
Check for 18+ :
Check for 45+ :
Both Doses
Dose 1 Only
Dose 2 Only
Min number of doses available :
Frequency (Seconds) :
Run


Note the following frequently asked questsions.
To use MlFinLab on QuantConnect, see Import Libraries.
To use MlFinLab on your local machine, see the Client Documentation that Hudson & Thames provides to avoid dependency issues. You receive the MlFinLab Client documentation after your purchase is successful.
Yes, you can access the notebooks via the Client Documentation and download them.
Yes, they provide support under consulting and you can ask their community on Slack if you have a question.


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CONSUME
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|
Cars 2 |
MiB 3 |
Focus |
Mission Imposible: Rogue Nation |
Dumb and Dumber To |
|
Rush Hour 3 |
The Best of Me |
Fast and Furious 7 |
Toy Story 3 |
Minions |


Query DSL
OpenSearch provides a full Java query dsl in a similar manner to the
REST Query DSL. The factory for query
builders is QueryBuilders
. Once your query is ready, you can use the
Search API.
To use QueryBuilders
just import them in your class:
import static org.opensearch.index.query.QueryBuilders.*;
Note that you can easily print (aka debug) JSON generated queries using
toString()
method on QueryBuilder
object.
The QueryBuilder
can then be used with any API that accepts a query,
such as count
and search
.
Full text queries
The high-level full text queries are usually used for running full text
queries on full text fields like the body of an email. They understand how the
field being queried is analyzed and will apply each field’s
analyzer
(or search_analyzer
) to the query string before executing.
The queries in this group are:
match
query-
The standard query for performing full text queries, including fuzzy matching and phrase or proximity queries.
multi_match
query-
The multi-field version of the
match
query. common_terms
query-
A more specialized query which gives more preference to uncommon words.
query_string
query-
Supports the compact Lucene query string syntax, allowing you to specify AND|OR|NOT conditions and multi-field search within a single query string. For expert users only.
simple_query_string
-
A simpler, more robust version of the
query_string
syntax suitable for exposing directly to users.
Multi Match Query
multiMatchQuery(
"kimchy opensearch", // (1)
"user", "message"); // (2)
-
text
-
fields
Common Terms Query
commonTermsQuery("name", // (1)
"kimchy"); // (2)
-
field
-
value
Simple Query String Query
simpleQueryStringQuery("+kimchy -opensearch");
Term level queries
While the full text queries will analyze the query string before executing, the term-level queries operate on the exact terms that are stored in the inverted index.
These queries are usually used for structured data like numbers, dates, and enums, rather than full text fields. Alternatively, they allow you to craft low-level queries, foregoing the analysis process.
The queries in this group are:
term
query-
Find documents which contain the exact term specified in the field specified.
terms
query-
Find documents which contain any of the exact terms specified in the field specified.
range
query-
Find documents where the field specified contains values (dates, numbers, or strings) in the range specified.
exists
query-
Find documents where the field specified contains any non-null value.
prefix
query-
Find documents where the field specified contains terms which being with the exact prefix specified.
wildcard
query-
Find documents where the field specified contains terms which match the pattern specified, where the pattern supports single character wildcards (
?
) and multi-character wildcards (*
) regexp
query-
Find documents where the field specified contains terms which match the regular expression specified.
fuzzy
query-
Find documents where the field specified contains terms which are fuzzily similar to the specified term. Fuzziness is measured as a Levenshtein edit distance of 1 or 2.
type
query-
Find documents of the specified type.
ids
query-
Find documents with the specified type and IDs.
Range Query
See Range Query
rangeQuery("price") // (1)
.from(5) // (2)
.to(10) // (3)
.includeLower(true) // (4)
.includeUpper(false); // (5)
-
field
-
from
-
to
-
include lower value means that
from
isgt
whenfalse
orgte
whentrue
-
include upper value means that
to
islt
whenfalse
orlte
whentrue
// A simplified form using gte, gt, lt or lte
rangeQuery("age") // (1)
.gte("10") // (2)
.lt("20"); // (3)
-
field
-
set
from
to 10 andincludeLower
totrue
-
set
to
to 20 andincludeUpper
tofalse
Wildcard Query
See Wildcard Query
wildcardQuery(
"user", // (1)
"k?mch*"); // (2)
-
field
-
wildcard expression
Type Query
Types are deprecated. Prefer filtering on a field instead.
See Type Query
typeQuery("my_type"); // (1)
-
type
Compound queries
Compound queries wrap other compound or leaf queries, either to combine their results and scores, to change their behaviour, or to switch from query to filter context.
The queries in this group are:
constant_score
query-
A query which wraps another query, but executes it in filter context. All matching documents are given the same
`constant'' `_score
. bool
query-
The default query for combining multiple leaf or compound query clauses, as
must
,should
,must_not
, orfilter
clauses. Themust
andshould
clauses have their scores combined — the more matching clauses, the better — while themust_not
andfilter
clauses are executed in filter context. dis_max
query-
A query which accepts multiple queries, and returns any documents which match any of the query clauses. While the
bool
query combines the scores from all matching queries, thedis_max
query uses the score of the single best- matching query clause. function_score
query-
Modify the scores returned by the main query with functions to take into account factors like popularity, recency, distance, or custom algorithms implemented with scripting.
boosting
query-
Return documents which match a
positive
query, but reduce the score of documents which also match anegative
query.
Constant Score Query
constantScoreQuery(
termQuery("name","kimchy")) // (1)
.boost(2.0f); // (2)
-
your query
-
query score ==== Bool Query
See Bool Query
boolQuery()
.must(termQuery("content", "test1")) // (1)
.must(termQuery("content", "test4")) // (1)
.mustNot(termQuery("content", "test2")) // (2)
.should(termQuery("content", "test3")) // (3)
.filter(termQuery("content", "test5")); // (4)
-
must query
-
must not query
-
should query
-
a query that must appear in the matching documents but doesn’t contribute to scoring. ==== Dis Max Query
See Dis Max Query
disMaxQuery()
.add(termQuery("name", "kimchy")) // (1)
.add(termQuery("name", "opensearch")) // (2)
.boost(1.2f) // (3)
.tieBreaker(0.7f); // (4)
-
add your queries
-
add your queries
-
boost factor
-
tie breaker ==== Function Score Query
See Function Score Query.
To use ScoreFunctionBuilders
just import them in your class:
import static org.opensearch.index.query.functionscore.ScoreFunctionBuilders.*;
FilterFunctionBuilder[] functions = {
new FunctionScoreQueryBuilder.FilterFunctionBuilder(
matchQuery("name", "kimchy"), // (1)
randomFunction()), // (2)
new FunctionScoreQueryBuilder.FilterFunctionBuilder(
exponentialDecayFunction("age", 0L, 1L)) // (3)
};
functionScoreQuery(functions);
-
Add a first function based on a query
-
And randomize the score based on a given seed
-
Add another function based on the age field ==== Boosting Query
See Boosting Query
boostingQuery(
termQuery("name","kimchy"), // (1)
termQuery("name","dadoonet")) // (2)
.negativeBoost(0.2f); // (3)
-
query that will promote documents
-
query that will demote documents
-
negative boost
Joining queries
Performing full SQL-style joins in a distributed system like OpenSearch is prohibitively expensive. Instead, OpenSearch offers two forms of join which are designed to scale horizontally.
nested
query-
Documents may contains fields of type
nested
. These fields are used to index arrays of objects, where each object can be queried (with thenested
query) as an independent document. has_child
andhas_parent
queries-
A parent-child relationship can exist between two document types within a single index. The
has_child
query returns parent documents whose child documents match the specified query, while thehas_parent
query returns child documents whose parent document matches the specified query.
Nested Query
See Nested Query
nestedQuery(
"obj1", // (1)
boolQuery() // (2)
.must(matchQuery("obj1.name", "blue"))
.must(rangeQuery("obj1.count").gt(5)),
ScoreMode.Avg); // (3)
-
path to nested document
-
your query. Any fields referenced inside the query must use the complete path (fully qualified).
-
score mode could be
ScoreMode.Max
,ScoreMode.Min
,ScoreMode.Total
,ScoreMode.Avg
orScoreMode.None
Has Child Query
See Has Child Query
When using the has_child
query it is important to use the PreBuiltTransportClient
instead of the regular client:
Settings settings = Settings.builder().put("cluster.name", "opensearch").build();
TransportClient client = new PreBuiltTransportClient(settings);
client.addTransportAddress(new TransportAddress(new InetSocketAddress(InetAddresses.forString("<IP_ADDRESS>"), 9300)));
Otherwise the parent-join module doesn’t get loaded and the has_child
query can’t be used from the transport client.
JoinQueryBuilders.hasChildQuery(
"blog_tag", // (1)
termQuery("tag","something"), // (2)
ScoreMode.None); // (3)
-
child type to query against
-
query
-
score mode can be
ScoreMode.Avg
,ScoreMode.Max
,ScoreMode.Min
,ScoreMode.None
orScoreMode.Total
Has Parent Query
See Has Parent
When using the has_parent
query it is important to use the PreBuiltTransportClient
instead of the regular client:
Settings settings = Settings.builder().put("cluster.name", "opensearch").build();
TransportClient client = new PreBuiltTransportClient(settings);
client.addTransportAddress(new TransportAddress(new InetSocketAddress(InetAddresses.forString("<IP_ADDRESS>"), 9300)));
Otherwise the parent-join module doesn’t get loaded and the has_parent
query can’t be used from the transport client.
JoinQueryBuilders.hasParentQuery(
"blog", // (1)
termQuery("tag","something"), // (2)
false); // (3)
-
parent type to query against
-
query
-
whether the score from the parent hit should propagate to the child hit
Geo queries
OpenSearch supports two types of geo data:
geo_point
fields which support lat/lon pairs, and
geo_shape
fields, which support points, lines, circles, polygons, multi-polygons etc.
The queries in this group are:
geo_shape
query-
Find document with geo-shapes which either intersect, are contained by, or do not intersect with the specified geo-shape.
geo_bounding_box
query-
Finds documents with geo-points that fall into the specified rectangle.
geo_distance
query-
Finds document with geo-points within the specified distance of a central point.
geo_polygon
query-
Find documents with geo-points within the specified polygon.
GeoShape Query
See Geo Shape Query
Note: the geo_shape
type uses Spatial4J
and JTS
, both of which are
optional dependencies. Consequently you must add Spatial4J
and JTS
to your classpath in order to use this type:
<dependency>
<groupId>org.locationtech.spatial4j</groupId>
<artifactId>spatial4j</artifactId>
<version>0.7</version> (1)
</dependency>
<dependency>
<groupId>org.locationtech.jts</groupId>
<artifactId>jts-core</artifactId>
<version>1.15.0</version> (2)
<exclusions>
<exclusion>
<groupId>xerces</groupId>
<artifactId>xercesImpl</artifactId>
</exclusion>
</exclusions>
</dependency>
-
check for updates in Maven Central
-
check for updates in Maven Central
// Import ShapeRelation and ShapeBuilder
import org.opensearch.common.geo.ShapeRelation;
import org.opensearch.common.geo.builders.ShapeBuilder;
GeoShapeQueryBuilder qb = geoShapeQuery(
"pin.location", // (1)
new MultiPointBuilder( // (2)
new CoordinatesBuilder()
.coordinate(0, 0)
.coordinate(0, 10)
.coordinate(10, 10)
.coordinate(10, 0)
.coordinate(0, 0)
.build()));
qb.relation(ShapeRelation.WITHIN); // (3)
-
field
-
shape
-
relation can be
ShapeRelation.CONTAINS
,ShapeRelation.WITHIN
,ShapeRelation.INTERSECTS
orShapeRelation.DISJOINT
// Using pre-indexed shapes
GeoShapeQueryBuilder qb = geoShapeQuery(
"pin.location", // (1)
"DEU"); // (2)
qb.relation(ShapeRelation.WITHIN) // (3)
.indexedShapeIndex("shapes") // (4)
.indexedShapePath("location"); // (5)
-
field
-
The ID of the document that containing the pre-indexed shape.
-
relation
-
Name of the index where the pre-indexed shape is. Defaults to 'shapes'.
-
The field specified as path containing the pre-indexed shape. Defaults to 'shape'.
Geo Bounding Box Query
geoBoundingBoxQuery("pin.location") // (1)
.setCorners(40.73, -74.1, // (2)
40.717, -73.99); // (3)
-
field
-
bounding box top left point
-
bounding box bottom right point
Geo Distance Query
geoDistanceQuery("pin.location") // (1)
.point(40, -70) // (2)
.distance(200, DistanceUnit.KILOMETERS); // (3)
-
field
-
center point
-
distance from center point
Geo Polygon Query
List<GeoPoint> points = new ArrayList<>(); // (1)
points.add(new GeoPoint(40, -70));
points.add(new GeoPoint(30, -80));
points.add(new GeoPoint(20, -90));
geoPolygonQuery("pin.location", points); // (2)
-
add your polygon of points a document should fall within
-
initialise the query with field and points
Specialized queries
This group contains queries which do not fit into the other groups:
more_like_this
query-
This query finds documents which are similar to the specified text, document, or collection of documents.
script
query-
This query allows a script to act as a filter. Also see the
function_score
query. percolate
query-
This query finds percolator queries based on documents.
wrapper
query-
A query that accepts other queries as json or yaml string.
More Like This Query
String[] fields = {"name.first", "name.last"}; // (1)
String[] texts = {"text like this one"}; // (2)
moreLikeThisQuery(fields, texts, null)
.minTermFreq(1) // (3)
.maxQueryTerms(12); // (4)
-
fields
-
text
-
ignore threshold
-
max num of Terms in generated queries
Script Query
See Script Query
scriptQuery(
new Script("doc['num1'].value > 1") // (1)
);
-
inlined script
If you have stored on each data node a script named myscript.painless
with:
doc['num1'].value > params.param1
You can use it then with:
Map<String, Object> parameters = new HashMap<>();
parameters.put("param1", 5);
scriptQuery(new Script(
ScriptType.STORED, // (1)
null, // (2)
"myscript", // (3)
singletonMap("param1", 5))); // (4)
-
Script type: either
ScriptType.FILE
,ScriptType.INLINE
orScriptType.INDEXED
-
Scripting engine
-
Script name
-
Parameters as a
Map<String, Object>
Percolate Query
See: * Percolate Query
Settings settings = Settings.builder().put("cluster.name", "opensearch").build();
TransportClient client = new PreBuiltTransportClient(settings);
client.addTransportAddress(new TransportAddress(new InetSocketAddress(InetAddresses.forString("<IP_ADDRESS>"), 9300)));
Before the percolate
query can be used an percolator
mapping should be added and
a document containing a percolator query should be indexed:
// create an index with a percolator field with the name 'query':
client.admin().indices().prepareCreate("myIndexName")
.addMapping("_doc", "query", "type=percolator", "content", "type=text")
.get();
//This is the query we're registering in the percolator
QueryBuilder qb = termQuery("content", "amazing");
//Index the query = register it in the percolator
client.prepareIndex("myIndexName", "_doc", "myDesignatedQueryName")
.setSource(jsonBuilder()
.startObject()
.field("query", qb) // Register the query
.endObject())
.setRefreshPolicy(RefreshPolicy.IMMEDIATE) // Needed when the query shall be available immediately
.get();
This indexes the above term query under the name myDesignatedQueryName.
In order to check a document against the registered queries, use this code:
//Build a document to check against the percolator
XContentBuilder docBuilder = XContentFactory.jsonBuilder().startObject();
docBuilder.field("content", "This is amazing!");
docBuilder.endObject(); //End of the JSON root object
PercolateQueryBuilder percolateQuery = new PercolateQueryBuilder("query", "_doc", BytesReference.bytes(docBuilder));
// Percolate, by executing the percolator query in the query dsl:
SearchResponse response = client().prepareSearch("myIndexName")
.setQuery(percolateQuery))
.get();
//Iterate over the results
for(SearchHit hit : response.getHits()) {
// Percolator queries as hit
}
Wrapper Query
See Wrapper Query
String query = "{\"term\": {\"user\": \"kimchy\"}}"; // (1)
wrapperQuery(query);
-
query defined as query builder
Span queries
Span queries are low-level positional queries which provide expert control over the order and proximity of the specified terms. These are typically used to implement very specific queries on legal documents or patents.
Span queries cannot be mixed with non-span queries (with the exception of the span_multi
query).
The queries in this group are:
span_term
query-
The equivalent of the
term
query but for use with other span queries. span_multi
query-
Wraps a
term
,range
,prefix
,wildcard
,regexp
, orfuzzy
query. span_first
query-
Accepts another span query whose matches must appear within the first N positions of the field.
span_near
query-
Accepts multiple span queries whose matches must be within the specified distance of each other, and possibly in the same order.
span_or
query-
Combines multiple span queries — returns documents which match any of the specified queries.
span_not
query-
Wraps another span query, and excludes any documents which match that query.
span_containing
query-
Accepts a list of span queries, but only returns those spans which also match a second span query.
span_within
query-
The result from a single span query is returned as long is its span falls within the spans returned by a list of other span queries.
Span Multi Term Query
spanMultiTermQueryBuilder(
prefixQuery("user", "ki")); // (1)
-
Can be any builder extending the
MultiTermQueryBuilder
class. For example:FuzzyQueryBuilder
,PrefixQueryBuilder
,RangeQueryBuilder
,RegexpQueryBuilder
orWildcardQueryBuilder
.
Span First Query
See Span First Query
spanFirstQuery(
spanTermQuery("user", "kimchy"), // (1)
3 // (2)
);
-
query
-
max end position
Span Near Query
See Span Near Query
spanNearQuery(
spanTermQuery("field","value1"), // (1)
12) // (2)
.addClause(spanTermQuery("field","value2")) // (1)
.addClause(spanTermQuery("field","value3")) // (1)
.inOrder(false); // (3)
-
span term queries
-
slop factor: the maximum number of intervening unmatched positions
-
whether matches are required to be in-order
Span Or Query
See Span Or Query
spanOrQuery(spanTermQuery("field","value1")) // (1)
.addClause(spanTermQuery("field","value2")) // (1)
.addClause(spanTermQuery("field","value3")); // (1)
-
span term queries
Span Not Query
See Span Not Query
spanNotQuery(
spanTermQuery("field","value1"), // (1)
spanTermQuery("field","value2")); // (2)
-
span query whose matches are filtered
-
span query whose matches must not overlap those returned
Span Containing Query
spanContainingQuery(
spanNearQuery(spanTermQuery("field1","bar"), 5) // (1)
.addClause(spanTermQuery("field1","baz"))
.inOrder(true),
spanTermQuery("field1","foo")); // (2)
-
big
part -
little
part
Span Within Query
spanWithinQuery(
spanNearQuery(spanTermQuery("field1", "bar"), 5) // (1)
.addClause(spanTermQuery("field1", "baz"))
.inOrder(true),
spanTermQuery("field1", "foo")); // (2)
-
big
part -
little
part


|
Proton DotNet
|
The Container that hosts one ore more AMQP connections that share a given AMQP container Id. More...
Public Member Functions | |
| void | Close () |
| Blocking close method that waits for all open connections to be closed before returning to the caller. More... | |
| Task< IClient > | CloseAsync () |
| Initiates an asynchronous close of all the connections created from this client container. The returned Task allows the caller to wait for the close to complete or check in periodically to see if the operation has finished. More... | |
| IConnection | Connect (string host, int port, ConnectionOptions options=null) |
| Creates a new connection to the designated remote host on the provided port. The connection is configured using the provided connection options. This method does not block waiting for the actual IO level connection to be established, a new IConnection instance will be return which the caller can begin using. To await full connection to the remote the caller should use the open task exposed by the IConnection to wait the outcome. More... | |
| IConnection | Connect (string host, ConnectionOptions options=null) |
| Creates a new connection to the designated remote host on the default AMQP port. The connection is configured using the provided connection options. This method does not block waiting for the actual IO level connection to be established, a new IConnection instance will be return which the caller can begin using. To await full connection to the remote the caller should use the open task exposed by the IConnection to wait the outcome. More... | |
Static Public Member Functions | |
| static IClient | Create (ClientOptions options=null) |
| Creates a new IClient instance using the Proton default implementation which has been configured using the provided client options. More... | |
Properties | |
| string | ContainerId [get] |
| Returns the fixed AMQP container Id value this connection was created with. More... | |
The Container that hosts one ore more AMQP connections that share a given AMQP container Id.
| void Apache.Qpid.Proton.Client.IClient.Close | ( | ) |
Blocking close method that waits for all open connections to be closed before returning to the caller.
Implemented in Apache.Qpid.Proton.Client.Implementation.ClientInstance.
| Task<IClient> Apache.Qpid.Proton.Client.IClient.CloseAsync | ( | ) |
Initiates an asynchronous close of all the connections created from this client container. The returned Task allows the caller to wait for the close to complete or check in periodically to see if the operation has finished.
Implemented in Apache.Qpid.Proton.Client.Implementation.ClientInstance.
| IConnection Apache.Qpid.Proton.Client.IClient.Connect | ( | string | host, |
| ConnectionOptions | options = null |
||
| ) |
Creates a new connection to the designated remote host on the default AMQP port. The connection is configured using the provided connection options. This method does not block waiting for the actual IO level connection to be established, a new IConnection instance will be return which the caller can begin using. To await full connection to the remote the caller should use the open task exposed by the IConnection to wait the outcome.
| host | The remote host this connection should connect to |
| options | Optional connection options to use to configure the connection |
Implemented in Apache.Qpid.Proton.Client.Implementation.ClientInstance.
| IConnection Apache.Qpid.Proton.Client.IClient.Connect | ( | string | host, |
| int | port, | ||
| ConnectionOptions | options = null |
||
| ) |
Creates a new connection to the designated remote host on the provided port. The connection is configured using the provided connection options. This method does not block waiting for the actual IO level connection to be established, a new IConnection instance will be return which the caller can begin using. To await full connection to the remote the caller should use the open task exposed by the IConnection to wait the outcome.
| host | The remote host this connection should connect to |
| port | The port on the remote host where the connection is established |
| options | Optional connection options to use to configure the connection |
Implemented in Apache.Qpid.Proton.Client.Implementation.ClientInstance.
|
inlinestatic |
|
get |
Returns the fixed AMQP container Id value this connection was created with.


| survreg.control {survival} | R Documentation |
This functions checks and packages the fitting options for
survreg
survreg.control(maxiter=30, rel.tolerance=1e-09, toler.chol=1e-10, iter.max, debug=0, outer.max=10)
maxiter |
maximum number of iterations |
rel.tolerance |
relative tolerance to declare convergence |
toler.chol |
Tolerance to declare Cholesky decomposition singular |
iter.max |
same as |
debug |
print debugging information |
outer.max |
maximum number of outer iterations for choosing penalty parameters |
A list with the same elements as the input


ON DEADLY GROUND A film review by Michael John Legeros Copyright 1994 Michael John Legeros
Directed by Steven Seagal (!) Written by Ed Horowitz & Robin U. Russin Starring Seagal and Michael Caine MPAA Rating "R" Running Time Approx. 110 minutes
---
"Mr. Taft is the patron saint of the impossible." - Michael Caine, speaking of Seagal's character
ON DEADLY GROUND proves, without a doubt, that Steven Seagal directs as badly as he acts. This environmental actioner is p.u. from the word g.o. and even co-star Michael Caine, aka Mr. Will Act For Food, can't help defuse this bomb.
The plot is some superior nonsense about a nasty oil mangate (Caine) and the Bad Things he's planning for the pristine Alaskan wilderness. Eskimo environmentalists want him stopped--but they have no power. Or hero. Until the company's head firefighter, Forrest Taft (Seagal), enters the picture.
When Taft gets wind of his boss's *real* plans, The Ponytail takes an armed stance against his employer.
Pay attention to the opening scene--the first clue that Seagal doesn't have one--and you have still have time to ask for your money back.
At the beginning, Taft arrives in Alaska to "blow out" a "well" fire. Yes, a "well" fire! Anyone who's seen HELLFIGHERS knows that you can't get much more exciting than this. But, believe or it not, Seagal sieves the action right out of this explosive situation.
And he does this for the *entire* film.
His "back up" is fine--production designer Wm. Ladd Skinner, cinematographer Ric Waite, composer Basil Poledouris--but even *they* can't compensate for dingbat direction. With a poorly staged scene, who cares about Skinner's authentic-looking Eskimo village? Or Waite's almost-unreal Alaskan photography? Or Poledouris energized score?
Seagal even botches the obligatory bar-fight. Instead of anything resembling choreography, he resorts to silly slow-motion to punctuate his punches.
The Big Shoot Out is the Big Disappointment. Even after a middling midsection, one still hopes for a rousing round-up of John Woo proportions. Sorry Charlie, no Grand Guignol here. Just a sloppy mix of bullets and bad-guys and immolations and explosions and 101 Other Ways For Bad People To Die. Hardly the right reward for having to sit through Eskimo subtitles, R. Lee Emery's crewcut, and Steven Seagal trying to be Kevin Costner.
Even with a "real" director, ON DEADLY GROUND is still a tough sell. Seagal seems to have lost his charisma (there's a relative term, if there ever was one!); certain supporting players are downright awful; and the plot has more holes than a bad Schwarzenegger story.

Why didn't he do a documentary, instead?
Bottom line: ON DEADLY GROUND is an awful film. The bad direction is courtesy of Steven Seagal, who graciously contributes to the bad acting. Even Michael Caine looks good in comparison.
Grade: F
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Returns properties of provisioned clusters including general cluster properties, cluster database properties, maintenance and backup properties, and security and access properties. This operation supports pagination. For more information about managing clusters, go to Amazon Redshift Clusters in the Amazon Redshift Management Guide .
describe-clusters
[--cluster-identifier <value>]
[--max-records <value>]
[--marker <value>]
The unique identifier of a cluster whose properties you are requesting. This parameter isn't case sensitive.
The default is that all clusters defined for an account are returned.
The maximum number of records that the response can include. If more records exist than the specified --max-records value, a marker is included in the response that can be used in a new describe-clusters request to continue listing results.
Default: 100
Constraints: Value must be at least 20 and no more than 100.
An optional marker returned by a previous describe-clusters request to indicate the first cluster that the current describe-clusters request will return.
You can specify either a --marker parameter or a --cluster-identifier parameter in a describe-clusters request, but not both.
This example returns a description of all clusters for the account. By default, the output is in JSON format.
Command:
aws redshift describe-clusters
Result:
{
"Clusters": [
{
"NodeType": "dw.hs1.xlarge",
"Endpoint": {
"Port": 5439,
"Address": "mycluster.coqoarplqhsn.us-east-1.redshift.amazonaws.com"
},
"ClusterVersion": "1.0",
"PubliclyAccessible": "true",
"MasterUsername": "adminuser",
"ClusterParameterGroups": [
{
"ParameterApplyStatus": "in-sync",
"ParameterGroupName": "default.redshift-1.0"
} ],
"ClusterSecurityGroups": [
{
"Status": "active",
"ClusterSecurityGroupName": "default"
} ],
"AllowVersionUpgrade": true,
"VpcSecurityGroups": \[],
"AvailabilityZone": "us-east-1a",
"ClusterCreateTime": "2013-01-22T21:59:29.559Z",
"PreferredMaintenanceWindow": "sat:03:30-sat:04:00",
"AutomatedSnapshotRetentionPeriod": 1,
"ClusterStatus": "available",
"ClusterIdentifier": "mycluster",
"DBName": "dev",
"NumberOfNodes": 2,
"PendingModifiedValues": {}
} ],
"ResponseMetadata": {
"RequestId": "65b71cac-64df-11e2-8f5b-e90bd6c77476"
}
}
You can also obtain the same information in text format using the --output text option.
Command:
aws redshift describe-clusters --output text
Result:
dw.hs1.xlarge 1.0 true adminuser True us-east-1a 2013-01-22T21:59:29.559Z sat:03:30-sat:04:00 1 available mycluster dev 2
ENDPOINT 5439 mycluster.coqoarplqhsn.us-east-1.redshift.amazonaws.com
in-sync default.redshift-1.0
active default
PENDINGMODIFIEDVALUES
RESPONSEMETADATA 934281a8-64df-11e2-b07c-f7fbdd006c67


38
Error Messages
A nice compiler gives the user meaningful error messages. For example, not much information is
conveyed by the following message:
syntax error
If we track the line number in lex then we can at least give the user a line number:
void yyerror(char *s) {
fprintf(stderr, "line %d: %s\n", yylineno, s);
}
When yacc discovers a parsing error the default action is to call
yyerror
and then return from yylex
with a return value of one. A more graceful action flushes the input stream to a statement delimiter
and continues to scan:
stmt:
';'
| expr ';'
| PRINT expr ';'
| VARIABLE '=' expr ';
| WHILE '(' expr ')' stmt
| IF '(' expr ')' stmt %prec IFX
| IF '(' expr ')' stmt ELSE stmt
| '{' stmt_list '}'
| error ';'
| error '}'
;
The error token is a special feature of yacc that will match all input until the token following error is
found. For this example, when yacc detects an error in a statement it will call
yyerror
, flush input
up to the next semicolon or brace, and resume scanning.


by ipedrazas 2013-07-23 books
I wanted a book to get me up to speed with Vagrant and that’s exactly what Vagrant Up and Running does.
I have talked about Vagrant already in this blog (here and here) but if you have looked at Vagrant and you’re not using it yet because you “didn’t get it” let me tell you how I did it.
Books are great for building this baseline of knowledge. They have the advantage of curated structure and the disadvantage of getting outdated… but since my memory is quite terrible, what I want from a book is a better understanding of the technology and not how to type that command.
For the accurate sintaxis and instructions I fall back to google What I do is the following. When I’m going to learn something new I always start a new project where I can use that technology.
My projects are structured as follows:
So, depending what I’m going to do I add an entry to test (if it’s a quick test that can be deleted at any time) or to lab if it’s a project I want to use to learn a new technology. There’s nothing like building to get the learning going
For example, I’m building Cryptadoo as the way of learning Django, or with Grails I created my “Rewards” project.
Vagrant is different because you cannot build something, but it helps you to develop better. Still, I created a project with AngularJS to test Vagrant (ServerMarks).
For me the book provides a solid foundation for day to day use of Vagrant, with plenty of guidance for getting into more advanced usage. Automation is encouraged by Vagrant’s workflows, I would say even more: Automation is encourage in general.
New users and people with zero Vagrant experience will be able to pick up this book and learn everything they need to start using Vagrant and getting the most out of it.
If you’re like me, this book will help you loads because it illustrates the best use cases of Vagrant. I agree, the fact that V1.0 and V1.1 or V2.0 have some incompatibilities will force you to go out and look for the right command, but as I said before, books can get outdated pretty quickly, but there’s something that books give you than none of your random search will do: structure… and hey, you can read them without Internet connection for example: while commuting
If you want a step by step tutorial this Vagrant Up and Running will help you little, but as a way to accelerate learning it’s a wonderful book!


@html.extend('layout', function(model){ @html.block('content', function(model){ @html.include('search') @if(model.rows){
| Name | Phone | Title | |
|---|---|---|---|
| @k.name | @k.email | @k.phone | @k.title |
Let's see if we can try and get this on next attempt. Hopefully minian in our data center get it fixed.
@model.error


--- layout: page title: Experiments ---
We love tinkering and toying around with technology. Here are some experiments we're working on.


ruby2ruby provides a means of generating pure ruby code easily from RubyParser compatible Sexps. This makes making dynamic language processors in ruby easier than ever!
Clean, simple SexpProcessor generates ruby code from RubyParser compatible sexps.
require 'rubygems' require 'ruby2ruby' require 'ruby_parser' require 'pp' ruby = "def a\n puts 'A'\nend\n\ndef b\n a\nend" parser = RubyParser.new ruby2ruby = Ruby2Ruby.new sexp = parser.process(ruby) pp sexp p ruby2ruby.process(sexp) ## outputs: s(:block, s(:defn, :a, s(:args), s(:scope, s(:block, s(:call, nil, :puts, s(:arglist, s(:str, "A")))))), s(:defn, :b, s(:args), s(:scope, s(:block, s(:call, nil, :a, s(:arglist)))))) "def a\n puts(\"A\")\nend\ndef b\n a\nend\n"
+ sexp_processor + ruby_parser
+ sudo gem install ruby2ruby
To get started all you need is a checkout, rake, and hoe. The easiest way is:
% git clone seattlerb/ruby2ruby # assumes you use the `hub` wrapper. % gem i rake hoe % rake install_plugins # installs hoe-seattlerb & isolate % rake install_plugins # installs minitest (referenced from hoe-seattlerb)
From here you should be good to go. We accept pull requests on github.
(The MIT License)
Copyright © Ryan Davis, seattle.rb
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ‘Software’), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


You need to enter edit mode before being able to edit lyrics in Lyricus. Enter edit mode by pressing ⌘E or clicking Edit > "Enter Edit Mode".
Once in edit mode, signified by a different background color and the text "EDITING:" in the window title, you are free to change the text.
When you are done, you can save by pressing ⌘S or clicking File > "Save lyrics", or simply exit edit mode by pressing ⌘E again.
If you don't save, Lyricus will ask whether to discard changes or save just before the display will change to another song.


The after-hours mutant reveals a role for Fbxl3 in determining mammalian circadian period.
By screening N-ethyl-N-nitrosourea-mutagenized animals for alterations in rhythms of wheel-running activity, we identified a mouse mutation, after hours (Afh). The mutation, a Cys(358)Ser substitution in Fbxl3, an F-box protein with leucine-rich repeats, results in long free-running rhythms of about 27 hours in homozygotes. Circadian transcriptional and translational oscillations are attenuated in Afh mice. The Afh allele significantly affected Per2 expression and delayed the rate of Cry protein degradation in Per2::Luciferase tissue slices. Our in vivo and in vitro studies reveal a central role for Fbxl3 in mammalian circadian timekeeping.