Synapse ships with a set of working examples that demonstrate some of the basic features and capabilities of Synapse. A set of sample clients and services are provided in addition to the sample configurations. Scripts are provided to execute the sample scenarios as explained below.
To try out the samples you will need Java development kit version 1.5.x or later and Apache Ant version 1.6.5 or later. Ant can be downloaded from http://ant.apache.org. The JMS examples can be executed against an ActiveMQ installation by default (or another JMS provider with relevant configuration changes.)
Note*: The samples and the documentation assume that you are running Synapse in DEBUG mode. You can switch from the default INFO log messages to DEBUG log messages by changing the line "log4j.category.org.apache.synapse=INFO" as "log4j.category.org.apache.synapse=DEBUG" in the lib/log4j.properties file.
| Client | Synapse | Service |
| ant stockquote | ./synapse.sh -sample <n> | SimpleStockQuoteService |
| SecureStockQuoteService etc. |
The above diagram depicts the interactions between the clients, Synapse and the services at a higher level. The Clients are able to send SOAP/REST or POX messages over transports such as http/s or JMS with WS-Addressing, WS-Security or WS-Reliable messaging. They can send binary optimized content using MTOM or SwA or binary or plain text JMS messages. After mediation through Synapse, the requests are passed over to the sample services. The sample clients and services are explained below.
The sample clients can be executed from the samples/axis2Client directory through the provided ant script. Simply executing 'ant' displays the available clients and some of the sample options used to configure them. The sample clients available are listed below:
This is a simple SOAP client that can send stock quote requests, and receive and display the last sale price for a stock symbol.
ant stockquote [-Dsymbol=IBM|MSFT|SUN|..] [-Dmode=quote | customquote | fullquote | placeorder | marketactivity] [-Daddurl=http://localhost:9000/soap/SimpleStockQuoteService] [-Dtrpurl=http://localhost:8080] [-Dprxurl=http://localhost:8080] [-Dpolicy=../../repository/conf/sample/resources/policy/policy_1.xml]
The client is able to operate in the following modes, and send the payloads listed below as SOAP messages:
<m:getQuote xmlns:m="http://services.samples/xsd"> <m:request> <m:symbol>IBM</m:symbol> </m:request> </m:getQuote>
<m0:checkPriceRequest xmlns:m0="http://www.apache-synapse.org/test"> <m0:Code>symbol</m0:Code> </m0:checkPriceRequest>
<m:getFullQuote xmlns:m="http://services.samples/xsd"> <m:request> <m:symbol>IBM</m:symbol> </m:request> </m:getFullQuote>
<m:placeOrder xmlns:m="http://services.samples/xsd"> <m:order> <m:price>3.141593E0</m:price> <m:quantity>4</m:quantity> <m:symbol>IBM</m:symbol> </m:order> </m:placeOrder>
<m:getMarketActivity xmlns:m="http://services.samples/xsd"> <m:request> <m:symbol>IBM</m:symbol> ... <m:symbol>MSFT</m:symbol> </m:request> </m:getMarketActivity>
Note : See samples/axis2Client/src/samples/common/StockQuoteHandler.java for sample responses expected by the clients.
The 'addurl' property sets the WS-Addressing EPR, and the 'trpurl' sets a transport URL for a message. Thus by specifying both of these properties, the client can operate in the 'smart client' mode, where the addressing EPR can specify the ultimate receiver, while the transport URL set to Synapse will ensure that any necessary mediation takes place before the message is delivered to the ultimate receiver.
e.g: ant stockquote -Daddurl=<addressingEPR> -Dtrpurl=<synapse>
By specifying only a transport URL, the client operates in the 'dumb client' mode, where it sends the message to Synapse and depends on the Synapse rules for proper mediation and routing of the message to the ultimate destination.
e.g: ant stockquote -Dtrpurl=<synapse>
In this mode, the client uses the 'prxurl' as a http proxy to send the request. Thus by setting the 'prxurl' to Synapse, the client can ensure that the message will reach Synapse for mediation. The client can optionally set a WS-Addressing EPR if required.
e.g: ant stockquote -Dprxurl=<synapse> [-Daddurl=<addressingEPR>]
Specifying a policy
By specifying a WS-Policy using the 'policy' property, QoS aspects such as WS-Security can be enforced on the request. The policy can specify details such as timestamps, signatures and encryption. See Apache Axis2 and Apache Rampart documentation for more information.
The JMS client is able to send plain text, plain binary content or POX content by directly publishing a JMS message to the specified destination. The JMS destination name should be specified with the 'jms_dest' property. The 'jms_type' property can specify 'text', 'binary' or 'pox' to specify the type of message payload.
The plain text payload for a 'text' message can be specified through the 'payload' property. For binary messages, the 'payload' property will contain the path to the binary file. For POX messages, the 'payload' property will hold a stock symbol name to be used within the POX request for stock order placement request.
e.g:
ant jmsclient -Djms_type=text -Djms_dest=dynamicQueues/JMSTextProxy -Djms_payload="24.34 100 IBM" ant jmsclient -Djms_type=pox -Djms_dest=dynamicQueues/JMSPoxProxy -Djms_payload=MSFT ant jmsclient -Djms_type=binary -Djms_dest=dynamicQueues/JMSFileUploadProxy -Djms_payload=./../../repository/conf/sample/resources/mtom/asf-logo.gif
Note: The JMS client assumes the existence of a default ActiveMQ (4.1.0 or above) installation on the local machine.
The MTOM / SwA client is able to send a binary image file as a MTOM or SwA optimized message, and receive the same file again through the response and save it as a temporary file. The 'opt_mode' can specify 'mtom' or 'swa' respectively for the above mentioned optimizations. Optionally the path to a custom file can be specified through the 'opt_file' property, and the destination address can be changed through the 'opt_url' property if required.
e.g. ant optimizeclient -Dopt_mode=[mtom | swa]
The sample services ship with a pre-configured Axis2 server and demonstrates in-only and in-out SOAP/REST or POX messaging over http/s and JMS transports, using WS-Addressing, WS-Security and WS-Reliable Messaging and handling of binary content using MTOM and SwA.
The sample services can be found in the samples/axis2Server/src directory and can be built and deployed using ant from within each service directory
user@host:/tmp/synapse-1.1/samples/axis2Server/src/SimpleStockQuoteService$ ant Buildfile: build.xml ... build-service: .... [jar] Building jar: /tmp/synapse-1.1/samples/axis2Server/repository/services/SimpleStockQuoteService.aar BUILD SUCCESSFUL Total time: 3 seconds
To start the Axis2 server, go to the samples/axis2Server directory and execute the axis2server.sh or axis2server.bat script. This starts the Axis2 server with the http transport listener on port 9000 and https on 9002 respectively. To enable JMS transport, you will need to setup and start a JMS provider. An ActiveMQ 4.0.1 or later JMS server on the local machine is supported by default, and can be easily enabled by uncommenting the JMS transport from the repository/conf/axis2.xml
This service has four operations, getQuote (in-out), getFullQuote(in-out), getMarketActivity(in-out) and placeOrder (in-only). The getQuote operation will generate a sample stock quote for a given symbol. The getFullQuote operation will generate a history of stock quotes for the symbol for a number of days, and the getMarketActivity operation returns stock quotes for a list of given symbols. The placeOrder operation will accept a one way message for an order.
This service is a clone of the SimpleStockQuoteService, but has WS-Security enabled and an attached security policy for signing and encryption of messages.
This service has three operations uploadFileUsingMTOM(in-out), uploadFileUsingSwA(in-out) and oneWayUploadUsingMTOM(in-only) and demonstrates the use of MTOM and SwA. The uploadFileUsingMTOM and uploadFileUsingSwA operations accept a binary image from the SOAP request as MTOM and SwA, and returns this image back again as the response, while the oneWayUploadUsingMTOM saves the request message to disk.
To start Synapse with the sample default configuration, execute the synapse.bat or synapse.sh script found in the /bin directory. This starts up an instance of Synapse using the Synapse and Axis2 configuration files located in the repository/conf directory. The repository/conf/samples directory contains the sample configurations available as synapse_sample_<n>.xml files. To start a specific sample configuration of Synapse, use the '-sample <n>' switch as follows:
synapse.bat -sample <n> synapse.sh -sample <n>
The samples used in this guide assumes the existence of a local ActiveMQ (4.1.0 or higher) installation properly installed and started up. You also need to copy the following client JAR files into the Synapse 'lib' folder to support ActiveMQ. These files are found in the 'lib' directory of the ActiveMQ installation.
To enable the JMS transport, you need to uncomment the JMS transport listener configuration. If you are using a JMS provider other than ActiveMQ this configuration should be updated to reflect your environment. Once uncommented, the default configuration should be as follows. To enable JMS for synapse, the repository/conf/axis2.xml must be updated, while to enable JMS support for the sample Axis2 server the samples/axis2Server/repository/conf/axis2.xml file must be updated.
<!--Uncomment this and configure as appropriate for JMS transport support, after setting up your JMS environment (e.g. ActiveMQ)--> <transportReceiver name="jms" class="org.apache.synapse.transport.jms.JMSListener"> <parameter name="myTopicConnectionFactory" locked="false"> <parameter name="java.naming.factory.initial" locked="false">org.apache.activemq.jndi.ActiveMQInitialContextFactory</parameter> <parameter name="java.naming.provider.url" locked="false">tcp://localhost:61616</parameter> <parameter name="transport.jms.ConnectionFactoryJNDIName" locked="false">TopicConnectionFactory</parameter> </parameter> <parameter name="myQueueConnectionFactory" locked="false"> <parameter name="java.naming.factory.initial" locked="false">org.apache.activemq.jndi.ActiveMQInitialContextFactory</parameter> <parameter name="java.naming.provider.url" locked="false">tcp://localhost:61616</parameter> <parameter name="transport.jms.ConnectionFactoryJNDIName" locked="false">QueueConnectionFactory</parameter> </parameter> <parameter name="default" locked="false"> <parameter name="java.naming.factory.initial" locked="false">org.apache.activemq.jndi.ActiveMQInitialContextFactory</parameter> <parameter name="java.naming.provider.url" locked="false">tcp://localhost:61616</parameter> <parameter name="transport.jms.ConnectionFactoryJNDIName" locked="false">QueueConnectionFactory</parameter> </parameter> </transportReceiver>
To enable the mail transport, you need to uncomment the mail transport sender configuration in the repository/conf/axis2.xml. Change the mail.smtp.host parameter value to a working SMTP host.
<!-- ================================================= --> <!-- Mail Transport Sender --> <!--Only need to uncomment the sender. Configuration is achieved with every client. At any instant mail host should be given. Sample configuration has been given. http://people.apache.org/~pzf/SMTPBase64Binding-0.2.html--> <!-- ================================================= --> <transportSender name="mailto" class="org.apache.axis2.transport.mail.MailTransportSender"> <parameter name="mail.smtp.host">localhost</parameter> </transportSender>
The Synapse Script Mediator is a Synapse extension, and thus all prerequisites are not bundled by default with the Synapse distribution. Before you use some script mediators you may need to manually add the required jar files to the Synapse lib directory, and optionally perform other installation tasks as may be required by the individual scripting language. This is explained in the following sections.
The JavaScript/E4X support is enabled by default and comes ready-to-use with the Synapse distribution.
For Ruby support you need to download the 'jruby-complete.jar' from the Maven repository for JRuby, and copy it into the 'lib' folder of Synapse . The JRuby JAR can be downloaded from here.
You can download Apache Derby distribution from http://db.apache.org/derby/
CONNECT 'jdbc:derby://localhost:1527/synapsedb;user=synapse;password=synapse;create=true';
create table company(name varchar(10), id varchar(10), price double);
insert into company values ('IBM','c1',0.0);
insert into company values ('SUN','c2',0.0);
insert into company values ('MSFT','c3',0.0);
When using Derby, you need to add derby.jar, derbyclient.jar and derbynet.jar to the classpath. This can be done by putting the above three jars into the Synapse lib directory. For testing these samples Derby <IP_ADDRESS> binary distribution was used.
You can use any other database product instead of Derby. Then you have to change the database connection details accordingly. Also you have to copy the required database driver jars to the Synapse classpath.


Tennessee police find man dead on interstate overpass
JOHNSON CITY, Tenn. (AP) - Police in Tennessee say a person has died, possibly while painting graffiti on an interstate overpass.
Johnson City police say the male was found lying on the ground dead Sunday after officers were called to the I-26/East State of Franklin Road overpass.
Police said an initial investigation indicates the person may have been involved in unlawful tagging activities. The person’s identity was withheld pending notification of family.
The police department asked witnesses to contact them.
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Please read our comment policy before commenting.


Hello, this is NOT a translation of the french one, but an illustration of the framework.

[[A permanent place->PermanentPlace1]]

<%
class Quest{
constructor(id,target,condition){
this.id = id;
this.target = target;
this.condition = condition;
}
}
s.quest = [];
s.quest['permPlace1']=[];
s.quest['permPlace1'].push(new Quest("newQuest","[[Go on this fabulous new quest->ANewQuest]]", function(){return true;}));
s.quest['permPlace1'].push(new Quest("anotherQuest","[[This is another quest->AnotherQuest]]", function(){return true;}));
s.quest['permPlace1'].push(new Quest("secretQuest","[[This is a secret quest !->SecretQuest]]", function(){return s.quest['permPlace1'].length<3;}));
%>
Permanent Place 1

Some permanent explanation

<%
_.each(s.quest['permPlace1'],function(quest){
if(quest.condition()){
%>
<%=quest.target%>
<%
}
});
s.back="[[Return to Permanent Place 1->PermanentPlace1]]";
%>
A new quest

You can manage this quest from here. This is where your reader will come when he click on the quest (that will be displayed in the permanent place you choose.)

You can add other quest to be displayed for some permanent place, like when you create this quest.

You even can remove this quest by deleting here the link to the permanent place.

[[Go here to remove the link->QuestRemove]]

[[Go here to see that links works->BetaQuest]]

<%=s.back%><%
s.quest['permPlace1'] = _.reject(s.quest['permPlace1'],function(quest){
return quest.id=="newQuest";});
%>
<%=s.back%><%=s.back%>
Blabla blac bla Another quest...

<%=s.back%>
Secret Quest !

This is a secret quest ! To see it, you must have deleted a quest.

<%=s.back%>


JP2Lura -- JPEG2000 driver based on Lurawave library
Driver short name
JP2LURA
New in version 2.2.
Build dependencies
Lurawave library
This driver is an implementation of a JPEG2000 reader/writer based on Lurawave library.
The driver uses the VSI Virtual File API, so it can read JPEG2000 compressed NITF files.
Driver capabilities
Supports CreateCopy()
This driver supports the GDALDriver::CreateCopy()
operation
Supports Georeferencing
This driver supports georeferencing
Supports VirtualIO
This driver supports virtual I/O operations (/vsimem/, etc.)
Georeferencing
Georeferencing information can come from different sources : internal (GeoJP2 or GMLJP2 boxes), worldfile .j2w/.wld sidecar files, or PAM (Persistent Auxiliary metadata) .aux.xml sidecar files. By default, information is fetched in following order (first listed is the most prioritary): PAM, GeoJP2, GMLJP2, WORLDFILE.
The allowed sources and their priority order can be changed with the
GDAL_GEOREF_SOURCES
configuration option (or GEOREF_SOURCES
open option)
whose value is a comma-separated list of the following keywords : PAM,
GEOJP2, GMLJP2, INTERNAL (shortcut for GEOJP2,GMLJP2), WORLDFILE, NONE.
First mentioned sources are the most prioritary over the next ones. A
non mentioned source will be ignored.
For example setting it to "WORLDFILE,PAM,INTERNAL" will make a geotransformation matrix from a potential worldfile prioritary over PAM or internal JP2 boxes. Setting it to "PAM,WORLDFILE,GEOJP2" will use the mentioned sources and ignore GMLJP2 boxes.
Configuration Options
LURA_LICENSE_NUM_1=value: (required) First component of license number.
LURA_LICENSE_NUM_2=value: (required) Second component of license number.
Option Options
The following open option is available:
GEOREF_SOURCES=value: Define which georeferencing sources are allowed and their priority order. See Georeferencing paragraph.
Creation Options
CODEC=[JP2/Codestream]: JP2 will add JP2 boxes around the codestream data. The value is determined automatically from the file extension. If it is neither JP2 nor Codestream, JP2 codec is used.
GMLJP2=[YES/NO]: Defaults to
YES
. Indicates whether a GML box conforming to the OGC GML in JPEG2000 specification should be included in the file. UnlessGMLJP2V2_DEF
is used, the version of the GMLJP2 box will be version 1.GMLJP2V2_DEF=[YES/<filename>/<json>]: Indicates whether a GML box conforming to the OGC GML in JPEG2000, version 2.0.1 specification should be included in the file. filename must point to a file with a JSon content that defines how the GMLJP2 v2 box should be built. See GMLJP2v2 definition file section in documentation of the JP2OpenJPEG driver for the syntax of the JSon configuration file. It is also possible to directly pass the JSon content inlined as a string. If filename is just set to YES, a minimal instance will be built.
GeoJP2=[YES/NO]: Defaults to
NO
. Indicates whether a UUID/GeoTIFF box conforming to the GeoJP2 (GeoTIFF in JPEG2000) specification should be included in the file. Defaults to NO.SPLIT_IEEE754=[YES/NO]: Defaults to
NO
. Whether encoding of Float32 bands as 3 bands with values decomposed according to IEEE-754 structure: first band (1 bit, signed) with sign bit, second band (8 bits, unsigned) with exponent value and third band (23 bits, unsigned) with mantissa value. This is a non-standard extension to encode floating point values. By default, the sign bit and exponent will be encoded with the reversible wavelet (even withREVERSIBLE=NO
), and the mantissa with the irreversible one. If specifyingREVERSIBLE=YES
, all 3 components will be encoded with the reversible wavelet.NBITS=<integer>: Bits (precision) for sub-byte files (1-7), sub-uint16 (9-15), sub-uint32 (17-28).
QUALITY_STYLE=[PSNR/XXSmall/XSmall/Small/Medium/Large/XLarge/XXLarge]: Defaults to
PSNR
. This property tag is used to set the quality mode to be used during lossy compression. For normal images and situations (1:1 pixel display, ~50 cm viewing distance) we recommend Small or PSNR. For quality measurement only PSNR should be used.SPEED_MODE=[Fast/Accurate]: Defaults to
Fast
. This property tag is used to set the speed mode to be used during lossy compression. The following modes are defined.RATE=<integer>: Defaults to
0
. When specifying this value, the target compressed file size will be the uncompressed file size divided by RATE. In general the achieved rate will be exactly the requested size or a few bytes lower. Will force use of irreversible wavelet. Default value: 0 (maximum quality).QUALITY=[0/1-100]: Defaults to
0
. Compression to a particular quality is possible only when using the 9-7 filter with the standard expounded quantization and no regions of interest. A compression quality may be specified between 1 (low) and 100 (high). The size of the resulting JPEG2000 file will depend of the image content. Only used for irreversible compression. The compression quality cannot be used together the property RATE. Default value: 0 (maximum quality). When using this option together withSPLIT_IEEE754=YES
, the sign bit and exponent bands will have to be switched to irreversible encoding, which can lead to huge loss in the reconstructed floating-point value.PRECISION=<integer>: Defaults to
0
. For improved efficiency, the library automatically, depending on the image depth, uses either 16 or 32 bit representation for wavelet coefficients. The precision property can be set to force the library to always use 32 bit representations. The use of 32 bit values may slightly improve image quality and the expense of speed and memory requirements. Default value: 0 (automatically select appropriate precision).REVERSIBLE=[YES/NO]: Defaults to
NO
. YES means use of reversible 5x3 integer-only filter, NO use of the irreversible DWT 9-7.LEVELS=0-16: Defaults to
5
. The number of wavelet transformation levels can be set using this property. Valid values are in the range 0 (no wavelet analysis) to 16 (very fine analysis). The memory requirements and compression time increases with the number of transformation levels. A reasonable number of transformation levels is in the 4-6 range.QUANTIZATION_STYLE=[DERIVED/EXPOUNDED]: Defaults to
EXPOUNDED
. This property may only be set when the irreversible filter (9_7) is used. The quantization steps can either be derived from a bases quantization step, DERIVED, or calculated for each image sub-band, EXPOUNDED. The EXPOUNDED style is recommended when using the irreversible filter.TILEXSIZE=<integer>: Defaults to
0
. Tile width. An image can be split into smaller tiles, with each tile independently compressed. The basic tile size and the offset to the first tile on the virtual compression reference grid can be set using these properties. The first tile must contain the first image pixel. The tiling of an image is recommended only for very large images. Default values: (0) One Tile containing the complete image. If the image dimension exceeds 15000x15000, it will be tiled with tiles of dimension 1024x1024.TILEYSIZE=<integer>: Defaults to
0
. Tile height. An image can be split into smaller tiles, with each tile independently compressed. The basic tile size and the offset to the first tile on the virtual compression reference grid can be set using these properties. The first tile must contain the first image pixel. The tiling of an image is recommended only for very large images. Default values: (0) One Tile containing the complete image. If the image dimension exceeds 15000x15000, it will be tiled with tiles of dimension 1024x1024.TLM=[YES/NO]: Defaults to
NO
. (TiLe Marker) The efficiency of decoding regions in a tiled image may be improved by " the usage of a tile length marker. Tile length markers contain the " position of each tile in a JPEG2000 codestream, enabling faster access " to tiled data.PROGRESSION=[LRCP/RLCP/RPCL/PCRL/CPRL]: Defaults to
LRCP
. The organization of the coded data in the file can be set by this property tag. The following progression orders are defined: LRCP = Quality progressive, LCP = Resolution then quality progressive, RPCL = Resolution then position progressive, PCRL = Position progressive, CPRL = Color/channel progressive. The setting LRCP (quality) is most useful when used with several layers. The PCRL (position) should be used with precincts.JPX=[YES/NO]: Defaults to
YES
. Whether to advertise JPX features, and add a Reader requirement box, when a GMLJP2 box is written (for GMLJP2 v2, the branding will also be "jpx "). This option should not be used unless compatibility problems with a reader occur.CODEBLOCK_WIDTH=<integer>: Defaults to
64
. Codeblock width: power of two value between 4 and 1024. Note that CODEBLOCK_WIDTH * CODEBLOCK_HEIGHT must not be greater than 4096. For PROFILE_1 compatibility, CODEBLOCK_WIDTH must not be greater than 64.CODEBLOCK_HEIGHT=<integer>: Defaults to
64
. Codeblock height: power of two value between 4 and 1024. Note that CODEBLOCK_WIDTH * CODEBLOCK_HEIGHT must not be greater than 4096. For PROFILE_1 compatibility, CODEBLOCK_HEIGHT must not be greater than 64.ERROR_RESILIENCE=[YES/NO]: Defaults to
NO
. This option improves error resilient in JPEG2000 streams or for special codecs (e.g. hardware coder) for a faster compression/ decompression. This option will increase the file size slightly when generating a code stream with the same image quality.WRITE_METADATA=[YES/NO]: Whether metadata should be written, in a dedicated JP2 'xml ' box. Defaults to NO. The content of the 'xml '
<GDALMultiDomainMetadata> <Metadata> <MDI key="foo">bar</MDI> </Metadata> <Metadata domain='aux_domain'> <MDI key="foo">bar</MDI> </Metadata> <Metadata domain='a_xml_domain' format='xml'> <arbitrary_xml_content> </arbitrary_xml_content> </Metadata> </GDALMultiDomainMetadata>
If there are metadata domain whose name starts with "xml:BOX_", they will be written each as separate JP2 'xml ' box.
If there is a metadata domain whose name is "xml:XMP", its content will be written as a JP2 'uuid' XMP box.
MAIN_MD_DOMAIN_ONLY=[YES/NO]: Defaults to
NO
. (Only ifWRITE_METADATA=YES
) Whether only metadata from the main domain should be written.USE_SRC_CODESTREAM=[YES/NO]: (EXPERIMENTAL!) When source dataset is JPEG2000, whether to reuse the codestream of the source dataset unmodified. Defaults to NO. Note that enabling that feature might result in inconsistent content of the JP2 boxes w.r.t. to the content of the source codestream. Most other creation options will be ignored in that mode. Can be useful in some use cases when adding/correcting georeferencing, metadata, ...
Lossless compression
Lossless compression can be achieved if REVERSIBLE=YES is used (and RATE is not specified).
Vector information
A JPEG2000 file containing a GMLJP2 v2 box with GML feature collections and/or KML annotations embedded can be opened as a vector file with the OGR API. For example:
ogrinfo -ro my.jp2
INFO: Open of my.jp2'
using driver `JP2Lura' successful.
1: FC_GridCoverage_1_rivers (LineString)
2: FC_GridCoverage_1_borders (LineString)
3: Annotation_1_poly
Feature collections can be linked from the GMLJP2 v2 box to a remote location. By default, the link is not followed. It will be followed if the open option OPEN_REMOTE_GML is set to YES.
Bugs
Proper support of JPEG-2000 images with Int32/UInt32/Float32-IEEE754-split on Linux 64 bits require a v<IP_ADDRESS> or later SDK.
See Also
Other JPEG2000 GDAL drivers :


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But I must explain to you how Mistaken idea of denouncing Praising pain was born Account of the system Great explorer of the truth No one rejects, dislikes Mistaken idea of denouncing Praising pain was born
But I must explain to you how Mistaken idea of denouncing Praising pain was born Account of the system Great explorer of the truth No one rejects, dislikes Mistaken idea of denouncing Praising pain was born
But I must explain to you how Mistaken idea of denouncing Praising pain was born Account of the system Great explorer of the truth No one rejects, dislikes Mistaken idea of denouncing Praising pain was born
But I must explain to you how Mistaken idea of denouncing Praising pain was born Account of the system Great explorer of the truth No one rejects, dislikes Mistaken idea of denouncing Praising pain was born


Instagram
The Beginner's Guide To Instagram
Check Out This Amazing Article for Mashable.com By Stephanie Buck On How to Start up a successful Instagram Account. She wonderfully summarizes the process into 11 simple Steps:
1. Register/Setup
2. Set Notifications
3. Connect to other Social media Outlets
4. Add a profile Photo
5. Add filters and borders
6. Tilt/Shift yout Photos
7. Explore Other Options
8. Use Instagram Video
9. Share photos of others
10. Follow Other Users
and Finally:
11. Use Instagram on the web
Check Out This Article from thenextweb.com by Niall Harbison on how to use Instagram Filters:
The essential guide to using Instagram filters like a pro
Amaro
What it does: Adds more light to your image, but focuses it mostly towards the centre. The darker the photo, the more you will notice this effect.
Use When: You want to give your photo a somewhat aged appearance.
Rise
What it does: Gives images a nice glow and provides softer lighting on the subject.
Use When: You’re taking close-up shots of people.
Hudson
What it does: Gives your images an icy look. The slight tint and altered lighting gives these images a colder feel.
Use When: You’re outdoors. It’s particularly effective when you’re taking photos of buildings or monuments.
Read About More Filters Here
How to Create Instagram Ads From SocialMediaExaminer.com


I must admit, I was a little skeptical about trying this particular pharm., but after toying with the idea for a while (and being unable to score some weed) I gave it a go. I'd had quite a bit of tobacco and already felt a little nauseated and disconnected from reality. So what the hell, I checked online for the doses and popped 12 pills (@50mg a piece) I got a little stoned, but not really. Three hours later I just got sick of standing around waiting for something significant to happen so I went to sleep.
I experienced no hallucinogenic effects at all during my 'trip'. And the mindset change was so minimal as to be negligible (little more than you would get if you stayed up all night). I would think that taking what some consider a high dose should be immune to a little skepticism... but maybe not. On the upside, I experienced no negative side effects at all.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Stephanie Michelle Gibbs
Skills Summary
Computer Languages:
- Skill Level-Intermediate:VBA, AMPL
- Skill Level-Novice:SQL, Python, C++, html
Tools and Technologies:
- Skill Level-Intermediate:Simulation Software Arena, Minitab, CPLEX, Autocad
- Skill Level-Novice:Microsoft Access
Languages
- Fluent in English and Spanish
Education
University of Arkansas| Fayetteville, AR| Graduated:Fall 2017
- Bachelor of Science in Industrial Engineering| Cumulative GPA:3.1
- Minor in Supply Chain Management and International Business
Certifications
Spring International Center| Fayetteville, AR| January-July, 2013
Intensive english course
Projects
Capstone Senior Design | Spring 2017
- Worked with ArcBest Technologies to developed a labor scheduling deliverable based on forecasted
- Awarded project of the year in the industrial engineering department.
incoming and outgoing bills and an operations research model to maximize both efficiency and
profitability.
Databases| Fall 2017
- Introduction to basic principles of database modeling for IE with emphasis on Microsoft Access.
Data Analytics| Fall 2017
- Created models to predict grades based on students’ alcohol consumption levels using
different
python techniques such as heat maps,importance chart, tukey tests, KNN, GNB.
Quality | Spring 2017
- Used Range, X and P charts as well as Minitab to conduct data analysis on a production line to find the
possible causes leading to an increase in warranty claims to the corresponding company.
Production Planning and Control | Fall 2016
- Forecasted the number of international airline passengers in the USA in 2015 using Box Pierce
test
simple exponential smoothing,double exponential smoothing (Holt’s method) and triple exponential
smoothing.
Operations Research | Spring 2016
- Developed and OR model to address different issues that included the cost and savings related to
the implementation of new equipment and new policies to a given company.
Simulation | Fall 2015
- Expanded, improved and analyzed the current system of a major airport in Chicago, improving
efficiency based on cost using Arena simulation software.


| Home | Libraries | People | FAQ | More |
Table of Contents
This project contains an easy-to-use powerful n-dimensional histogram class
implemented in C++03, optimized for convenience and excellent performance under
heavy duty. Move semantics are supported using boost::move
. The
histogram has a complete C++ and a Python
interface, and can be passed over the language boundary with ease. Numpy
is fully supported; histograms can be filled with Numpy arrays at C speeds
and are convertible into Numpy arrays without copying data. Histograms can
be streamed from/to files and pickled in Python.
My goal is to submit this project to the Boost Libraries
Last revised: July 12, 2016 at 22:56:41 GMT |


About this application
Current Location
| Data | Value |
|---|---|
| Latitude | |
| Longitude | |
| Country | |
| Currency | |
| 1 US Dollar |
|
This will calculate local currency to South Korean currency. GPS will detect your location automatically. Just type the amount of local currency which you want to calculate it to Korean currency.


--- layout: post title: Macromedia and mobile date: 2005-10-21 00:00:00 categories: business mobile ---
Macromedia seem to have shifted up its mobile plans a gear - first with the BREW/Flash announcement (though I note that it's early days and they're not planning a launch until "next year"), and then with their acquisition of Mobile Innovations.


Update 2008-05-21: Tim Dysinger and Pat Maddox pointed out that git submodules are inherently not well-suited for frequently updated projects. Read the comments on the original blog post (URL below) for more details, and please use git.rake with caution on projects where you can't guarantee a submodule's shared repository has not changed between 'pull' and 'push' operation.
Hi. Thanks for taking a look at git.rake, a set of rake tasks that should help you manage multiple git submodules.
For posterity, the original blog post detailing its use is at
http://flavoriffic.blogspot.com/2008/05/managing-git-submodules-with-gitrake.html
but that content is reproduced here for you. Because I'm a nice guy.
To install, just do something like:
git submodule add git://github.com/mdalessio/git-rake.git lib/tasks/git-rake
And to verify installation, just run:
rake -T git
[mike dalessio<EMAIL_ADDRESS>Managing git submodules is a hassle.
git.rake makes all of these hassles go away by providing these tasks:
rake git:commit # git commit for superproject and submodules
rake git:configure # Configure Rails for git
rake git:diff # git diff for superproject and submodules
rake git:for_each # Run command in all submodules and superproject.
rake git:pull # git pull for superproject and submodules
rake git:push # git push for superproject and submodules
rake git:status # git status for superproject and submodules
rake git:tag # Tag superproject and submodules.
rake git:update # Update superproject with current submodules
Read on for implementation details and usage.
A set of rake tasks that will:
Keep your superproject in synch with multiple submodules, and vice versa. This includes branching, merging, pushing and pulling to/from a shared server, and committing. (Biff!)
Keep a description of all changes made to submodules in the commit log of the superproject. (Bam!)
Display the status of each submodule and the superproject in an easily-scannable representation, suppressing what you don't want or need to see. (Pow!)
Execute arbitrary commands in each repository (submodule and superproject), terminating execution if something fails. (Whamm!)
Configure a rails project for use with git. (Although, you've seen that elsewhere and are justifiably unimpressed.)
If you're not sure how to add a submodule to your repo, or you're not sure what a submodule is, take a quick trip over to the Git Submodule Tutorial, and then come back. In fact, even if you ARE familiar with submodules, it's probably worth reviewing.
Let's start with stating our basic assumptions:
This model of development can get very tedious very quickly if you don't have the right tools, because everytime you decide to "checkpoint" and commit your code (either locally or up to the shared server), you have to:
If you do this a few times, you'll see that it's tedious and error-prone. You could mistakenly push a version of the superproject that refers to a local commit of a submodule.
Ugh! This is monkey work. Let's automate it.
OK, fixing this issue sounds easy. All we have to do is:
git-rake presents a set of tasks for dealing with the submodules:
git:sub:commit # git commit for submodules
git:sub:diff # git diff for submodules
git:sub:for_each # Execute a command in the root directory of each submodule.\
Requires DO='command' environment variable.
git:sub:pull # git pull for submodules
git:sub:push # git push for submodules
git:sub:status # git status for submodules
And the corresponding tasks that run for the submodules PLUS the superproject:
git:commit # git commit for superproject and submodules
git:diff # git diff for superproject and submodules
git:for_each # Run command in all submodules and superproject. \
Requires DO='command' environment variable.
git:pull # git pull for superproject and submodules
git:push # git push for superproject and submodules
git:status # git status for superproject and submodules
It's worth noting here that most of these tasks do pretty much just what they advertise, in some cases less, and certainly nothing more (well, maybe a sanity check or two, but no destructive actions).
The exception is git:commit
, which depends on git:update
, and that has
some pixie dust in it. More on this below.
Leaving only the following specialty tasks to be explained:
git:configure # Configure Rails for git
git:update # Update superproject with current submodules
The first is simple: configuration of a rails project for use with git.
The other, git:update
, does two powerful things:
(Only if on branch 'master') Submodules are pushed to the shared server. This guarantees that the superproject will not have any references to local-only submodule commits.
For each submodule, retrieve the git-log for all uncommitted (in the superproject) revisions, and jam them into a superproject commit message.
Here's an example of such a superproject commit message:
commit 17272d53c298bd6a8ccee6528e0bc0d62104c268
Author: Mike Dalessio<EMAIL_ADDRESS>Date: Mon May 5 20:48:13 2008 -0400
updating to latest vendor/plugins/pharos_library
> commit f4dbbce6177de4b561aa8388f3fa9f7bf015fa0b
> Author: Mike Dalessio<EMAIL_ADDRESS>> Date: Mon May 5 20:47:46 2008 -0400
>
> git:for_each now exits if any of the subcommands fails.
>
> commit 6f15dee8c52ced20c98eef63b3f3fd1c29d91bbf
> Author: Mike Dalessio<EMAIL_ADDRESS>> Date: Fri May 2 13:58:17 2008 -0400
>
> think i've got the tempfile handling correct now. awkward, but right.
>
Excellent! Not only did git:update
automatically generate a useful log
message for me (indicating that we're updating to the latest submodule
version), but it's also embedding original commit logs for all the
changes included in that commit! That makes it much easier to find a
specific submodule commit in the superproject commit log.
Note that there are no tasks for handling branching and merging. This is intentional! It could be very dangerous to try to read your mind about actions on branches, and frankly, I'm just not up to it today.
For example, let's say I invented a task to copy the current branch
master
to a new branch foo
(the equivalent of git checkout -b foo
master
) in all submodules, but one of the submodules already has a
branch named foo
!
Do we reduce this action to a simple git checkout foo
for that
submodule? That could yield unexpected results if we a) forgot we had
a branch named foo
and b) that branch is very different from the
master
we expected to copy.
Well, then -- we can delete (or rename) the existing foo
branch and
follow that up by copying master
to foo
. But then we're silently
renaming (or deleting) branches that a) could be upstream on the
shared server or b) we intended to keep around, but forgot to
git-stash.
In any case, my point is that it can get complicated, and so I'm
punting. If you want to copy branches or do simple checkouts, you
should use the git:for_each
command.
In my day job, I've taken the vendor-everything approach and refactored lots of common code (across clients) into plugins, which are each a git submodule. My current project has 14 submodules, of which I am actively coding in probably 5 to 7 at any one time. (Plenty of motivation for creating git:rake right there.)
Let's say I've hacked for an hour or two and am ready to commit to my local repository. Let's first take a look at what's changed:
$ rake git:status
All repositories are on branch 'master'
/home/mike/git-repos/demo1/vendor/plugins/core: master, changes need to be committed
# modified: app/models/user_mailer.rb
# public/images/mail_alert.png (may need to be 'git add'ed)
WARNING: vendor/plugins/core needs to be pushed to remote origin
/home/mike/git-repos/demo1/vendor/plugins/pharos_library: master, changes need to be committed
# deleted: tasks/rake/git.rake
You'll notice first of all that, despite having 14 submodules, I'm only seeing output for the ones that need commits, and even that output is minimal, listing only the specific files and not all the cruft in the original message. It tells me that all submodules are on the same branch. It's smart enough to tell me that a file may need to be git-added. It will even alert me when a repo needs to be pushed to the origin.
I'll have to manually cd
to the submodule and git-add that one
file, but once that's done, I can commit my changes by running:
$ rake git:commit
which will run git commit -a -v
for each submodule, fire up the
editor for commit messages along the way, push each submodule to the
shared server, and then automagically create verbose commit logs for
the superproject.
To pull changes from the shared server:
$ rake git:pull
When you run this command, you'll notice that the output is filtered, so if no changes were pulled, you'll see no output. Silence is golden.
To push?
$ rake git:push
Not only will this be silent if there's nothing to push, but the rake task is smart enough to not even attempt to push to the server if master is no different from origin/master. So it's silent and fast.
Let's say I want to copy the current branch, master
, to a new
branch, working
.
$ rake git:for_each DO='git checkout -b working master'
If the command fails for any submodules, the rake task will terminate immediately.
Merging changes from 'working' back into 'master' for every submodule (and the superproject)?
$ rake git:for_each DO='git checkout master'
$ rake git:for_each DO='git merge working'
A couple of things that come quickly to mind that git.rake should probably do:
Push to the shared server for ANY branch that we're tracking from a remote branch.
Be more intelligent about when we push to the server. Right now, the code pushes submodules to the shared server every time we want to commit the superproject. We might be able to get away with only pushing the submodules when we push the superproject.
Parsing the output from various 'git' commands is prone to breakage if the git crew starts modifying some of the strings.
There should probably be some unit/functional tests. See previous item.
Anyway, the code is all up on github. Go hack it, and send back patches!


Home is where the heart is..
New Custom Keyboard coming in: Keycult No. 2 TKL- AKA SMURF....
Past Events: Monterey Car Week 2019
Some news this fine day!
Upcoming events I am looking forward to attending :
Monterey Car Week - August 6, 2021 - August 15, 2021
TwitchCon 2021: TBD
Get in touch, or swing by for a cup of coffee.
Instagram: @Adriel_b


1 Kings 13:12
And their father said unto them, What way went he? For his sons had seen what way the man of God went, which came from Judah.


{% extends 'base.html' %} {% block content %}
We can't handle this request. If you weren't doing anything unusual, contact our Tech team.


What will be the values after this code is executed?
int num = 3; int counter = 1; boolean condition = true; while(condition){ num+= counter++; if(num>10){ condition=false; num+= ++counter; } }
This question has no hints


[ ] Left/Right alignment should be respected based based on Paragraph Type
[ ] Plaintext formatting needs to be pickup and respected from whole FinalDraft document (e.g. respect definitions, Layout, etc)
[ ] Screen Headers and Footers can have Text, Dynamic, SceneProperties in any order, right now converting back to XML renders them in fixed order because they are ignored when rendering and plaintext
Completed
[x] Add ParseFile() to fdx.go
[x] String() Paragraph needs to handle trailing new lines based on Paragraph Type
[x] write tests that validate the source FDX content in testout version


j-b-hunt
Businessmodel of J.B. Hunt
Customer Segments
J.B. Hunt provides logistics and supply chain services to a range of commercial customers, principally medium and large businesses that include supply chain management as an integral part of their business strategies.
The Company provides services to customers across a number of business sectors, including:
- Automotive, for which its transports parts and products;
- Consumer Goods and Retail, for which it transports products such as clothes and electronics;
- Food Service, for which it transports food and beverage products;
- Manufacturing and Industrial, for which it transports resources and materials; and
- Plastics and Chemicals, for which it transports ingredients and resources. J.B. Hunt’s principal market is its native US, which accounts for the majority of its business. The Company also serves clients across Canada and Mexico.
Value Propositions
J.B. Hunt provides value to its customers in the following ways:
- Its industry standing, with the Company one of the most established operators of its kind in the US, with a track record for providing reliable services;
- Its extensive distribution infrastructure and equipment, with the Company employing various transportation methods, both through its own fleet of vehicles and through third-parties;
- Its broad portfolio of service offerings, with the Company providing a range of service offerings, with services tailored to suit the needs of clients across multiple industries;
- Its safety and security policies, with the Company employing various processes and technologies to ensure that its services are delivered safely and securely; and
- Its environmental sustainability, with the Company dedicated to creating more sustainable supply chain solutions for its customers. ### Channels
J.B. Hunt operates a website at www.jbhunt.com, through which it provides information on its various services, carrying methods, and fleet. The Company also operates an online customer portal at www.jbhunt.com/360, through which they are able receive quotes, tender shipments, and review shipment information.
J.B. Hunt deals directly with its clients through its in-house sales and service teams, which are organised by segment and by geographic region, and operate across a network of offices in the US, Canada, and Mexico. The Company delivers its services through its own multi-channel fleet, comprising trailing equipment, cube containers, chassis, contractor trucks, and tractors.
Customer Relationships
J.B. Hunt makes a number of service offerings available to its customers on a self-service basis, through its 360 customer portal. This online channel allows customers to receive service quotes, tender shipments, manage transactions, and review shipment histories without interacting with members of the Company’s sales and service teams.
J.B. Hunt’s sales and service teams work closely with customers, consulting over a period of time to agree the details of service contracts. The Company works with customers to provide services that suit their individual needs, with the Company offering a variety of transportation methods, seeking to establish long-term relationships.
J.B. Hunt provides various support services to its customers, including online resources such as white papers, news articles, and company reports. New and existing customers are also able to contact the Company’s various departments and offices over the phone or by post. The Company also operates several social media accounts – including with Facebook, Twitter, LinkedIn, YouTube, and Google+ - through which it is able to interact directly with customers.
Key Activities
J.B. Hunt operates as a holding company for a number of operating companies engaged I various logistics and supply chain services. Through its subsidiaries, J.B. Hunt provides surface transportation and delivery services to commercial customers across the continental US, Canada, and Mexico. J.B.
Hunt operates through four business segments: Intermodal, which provides intermodal services, relying on third-party national rail carriers for the linehaul movement of its equipment between rail ramps; Dedicated Contract Services, which provides design, development, and execution of supply chain solutions; Integrated Capacity Solutions, which provides traditional freight brokerage and transportation logistics solutions; and Truck, which provides full-load, dry-van freight services over roads and highways.
Key Partners
J.B. Hunt partners with a range of companies and organisations across its four operating segments. These partners include:
- Supplier and Vendor Partners, comprising suppliers of tools, equipment, technologies, and services, which support the Company’s operations and in-house services;
- Distribution and Transportation Partners, comprising third-party distributors and logistics companies that extends the reach and capabilities of the Company’s proprietary fleet of vehicles;
- Joint Venture Partners, comprising various international logistics and transportation providers with which the Company provides services through mutually owned entities; and
- Strategic and Alliance Partners, comprising companies with which the Company shares resources and collaborates on joint projects. J.B. Hunt is also a participant in the SmartWay program, a voluntary partnership between the US government and the transportation industry to develop and implement methods to improve air quality and reduce greenhouse gas emissions in transportation.
Key Resources
J.B. Hunt’s key resources are its logistics infrastructure and equipment – including its fleet of vehicles and transportation units, its IT and communications infrastructure, its sales and distribution channels, its partnerships, and its personnel.
J.B. Hunt operates an extensive infrastructure system and fleet. This includes 78,957 pieces of trailing equipment – comprising a chassis fleet of consisting of 68,076 units and corresponding cube containers, more than 5,000 tractors, 6,762 company-owned trucks, as well as operating contractor and customer-owned trucks.
Cost Structure
J.B. Hunt incurs costs in relation to the development and maintenance of its logistics infrastructure and equipment, the management of its fleet – including the acquisition of fuel, the acquisition of rented equipment and services, the maintenance of its online platform and IT infrastructure, the operation of its sales and distribution channels, the management of its partnerships, and the retention of its personnel.
In 2015 J.B. Hunt’s largest expense related to rents and purchased transportation, which amounted to $2.99 billion, representing 48.4% of the Company’s revenue for the year. The Company also incurred significant personnel costs – including the payment of salaries and benefits to its workforce of 21,562 employees – which totalled $1.39 billion, or 22.5% of total revenue. The Company’s fuel and tax costs were $313.04 million, representing just over 5% of the Company’s revenue.
Revenue Streams
J.B. Hunt generates revenue from the movement of freight from shippers to consignees, the provision of customised labour and delivery services, and the provision of general logistics and supply chains services. The Company’s revenue is derived from fees collected in relation to:
- The provision of intermodal freight solutions;
- The design and implementation of supply chain models;
- The provision of freight brokerage and transportation logistics solutions; and
- The provision of ground freight services. In 2015 J.B. Hunt generated $6.19 billion in operating revenue, up marginally on the $6.17 billion recorded by the Company in 2014. The majority of the Company’s revenue was generated by its Intermodal segment, which generated $3.66 billion for the year, representing around 59% of the Company’s total revenue. The majority of the Company’s remaining revenue was generated by the Company’s Dedicated Contract Services segment, which recorded an annual revenue of $1.45 billion.


VakocDataset¶
-
class
oct.
VakocDataset
(directory, df='Vakoc')¶ Bases:
oct.load.data.Dataset
Load metadata for Vakoc format data
Methods
|
Initialize self. |
|
Loads background data from .ofb file |
|
Loads chirp information from .laser file |
|
Loads dispersion information from .dispersion file |
Load all metadata into the loader |
|
Loads legacy scan pattern information from .scanpattern files |
|
Loads scan pattern information from .cdf files |
|
|
cleans .xml files depending on the version of acquisitioning software |


class Suite(_Suite):
Suite of benchmark problems.
Input arguments to Suite
are name: str
, instance: str
, options: str
,
and passed to the respective C code (see coco.h
).
>>> import cocoex as ex >>> suite = ex.Suite("bbob", "", "") >>> f = suite.next_problem() >>> assert f.number_of_objectives == 1 >>> assert f.evaluations == 0 >>> print("f([1,2]) = %.11f" % f([1,2])) f([1,2]) = 90.00369408000 >>> assert f.evaluations == 1
Sweeping through all problems is as simple as:
>>> import cocoex as ex >>> suite = ex.Suite("bbob-biobj", "", "") >>> observer = ex.Observer("bbob-biobj", "result_folder:doctest") >>> for fun in suite: ... if fun.index == 0: ... print("Number of objectives %d, %d, %d" % ... (fun.number_of_objectives, ... suite.number_of_objectives[0], ... suite.number_of_objectives[-1])) ... fun.observe_with(observer) ... assert fun.evaluations == 0 ... assert fun.number_of_objectives == suite.number_of_objectives[0] ... # run run run using fun # doctest: +ELLIPSIS Number of objectives 2, 2, 2...
In the example, an observer was added to produce output data for the COCO post-processing.
The following example runs the entire bbob2009 benchmark suite on random search:
>>> import numpy as np >>> from cocoex import Suite, Observer ... >>> MAX_FE = 22 # max f-evaluations >>> def random_search(f, lb, ub, m): # don't use m >> 1e5 with this implementation ... candidates = lb + (ub - lb) * np.random.rand(m, len(lb)) ... return candidates[np.argmin([f(x) for x in candidates])] ... >>> solver = random_search >>> suite = Suite("bbob", "year:2009", "") >>> observer = Observer("bbob", ... "result_folder: %s_on_%s" % (solver.__name__, "bbob2009")) >>> for fun in suite: ... assert fun.evaluations == 0 ... if fun.dimension >= 10: ... break ... print('Current problem index = %d' % fun.index) ... fun.observe_with(observer) ... assert fun.evaluations == 0 ... solver(fun, fun.lower_bounds, fun.upper_bounds, MAX_FE) ... # data should be now in the "exdata/random_search_on_bbob2009" folder ... assert fun.evaluations == MAX_FE # depends on the solver ... # doctest: +ELLIPSIS Current problem index = 0... >>> # >>> # Exactly the same using another looping technique: >>> for id in suite.ids(): ... fun = suite.get_problem(id, observer) ... _ = solver(fun, fun.lower_bounds, fun.upper_bounds, MAX_FE) ... print("Evaluations on %s: %d" % (fun.name, fun.evaluations)) ... fun.free() # this is absolutely necessary here ... # doctest: +ELLIPSIS Evaluations on ...
We can select a single function, say BBOB f9 in 20D, of a given suite like:
>>> import cocoex as ex >>> suite = ex.Suite("bbob", "", "dimensions:20 instance_indices:1") >>> len(suite) 24 >>> f9 = suite.get_problem(8) >>> x = f9.initial_solution # a copy of a feasible point >>> all(x == 0) True
See module attribute cocoex.known_suite_names
for known suite names:
>>> import cocoex as ex >>> for suite_name in ex.known_suite_names: ... suite = ex.Suite(suite_name, "", "") ... print(suite.dimensions) ... for f in suite: ... assert f.dimension in suite.dimensions ... assert f.evaluations == 0 ... # doctest: +ELLIPSIS [2, 3, 5, 10, 20, 40]...
See file example_experiment.py
for a full example use case.
Details: depending on the benchmark suite and observer, only one problem can
be open at a time. Using get_problem
without free
or mixing the use of
next_problem
and get_problem
may not be possible. For example, in this
case the "bbob" observer is known to lead to a crash of the Python
interpreter.
See also Observer
and example_experiment.py
.
| Method | __getitem__ |
self[i] is a synonym for self.get_problem(i) , see get_problem |
| Method | __init__ |
suite_instance and suite_options can be empty strings. |
| Method | find_problem_ids |
has been renamed to ids |
| Method | free |
free underlying C structures |
| Method | get_problem |
return a Problem instance, by default unobserved, using id: str or index (where id: int) to identify the desired problem. |
| Method | get_problem_by_function_dimension_instance |
return a Problem instance, by default unobserved, using function, dimension and instance to identify the desired problem. |
| Method | ids |
ids(*id_snippets, get_problem=False, verbose=False) return all problem IDs that contain all of the id_snippets . |
| Method | next_problem |
return the "next" problem in this Suite . |
| Method | reset |
reset to original state, affecting next_problem() , current_problem , current_index |
| Property | current_index |
index in the enumerator of all problems in this suite. |
| Property | current_problem |
current "open/active" problem to be benchmarked |
| Property | dimensions |
list of problem dimensions occuring at least once in this Suite |
| Property | indices |
list of all problem indices, deprecated. |
| Property | info |
Undocumented |
| Property | instance |
instance of this suite as used to instantiate the suite via Suite(name, instance, ...) |
| Property | name |
name of this suite as used to instantiate the suite via Suite(name, ...) |
| Property | number_of_objectives |
list of number of objectives occuring in this Suite |
| Property | options |
options for this suite as used to instantiate the suite via Suite(name, instance, options) |
| Property | problem_names |
list of problem names in this Suite , see also ids |
return a Problem
instance, by default unobserved, using id: str
or index (where id: int) to identify the desired problem.
All values between zero and len(self) - 1
are valid index values:
>>> import cocoex as ex >>> suite = ex.Suite("bbob-biobj", "", "") >>> for index in range(len(suite)): ... problem = suite.get_problem(index) ... # work work work using problem ... problem.free()
A shortcut for suite.get_problem(index)
is suite[index]
, they are
synonym.
index
takes values between 0 and len(self) - 1
and can in
principle be different from the problem index in the benchmark suite.current_problem
and
current_index
attributes.free()
method of the problem
must be called before the next call of get_problem
. Otherwise Python
might just silently die, which is e.g. a known issue of the "bbob"
observer.See also ids
.
return a Problem
instance, by default unobserved, using function,
dimension and instance to identify the desired problem.
If a suite contains multiple problems with the same function, dimension and instance, the first corresponding problem is returned.
>>> import cocoex as ex >>> suite = ex.Suite("bbob-biobj", "", "") >>> problem = suite.get_problem_by_function_dimension_instance(1, 2, 3) >>> # work work work using problem >>> problem.free()
current_problem
and
current_index
attributes.free()
method of the problem
must be called before the next call of
get_problem_by_function_dimension_instance
. Otherwise Python might
just silently die, which is e.g. a known issue of the "bbob" observer.ids(*id_snippets, get_problem=False, verbose=False)
return all problem IDs that contain all of the id_snippets
.
An ID can be used for indexing, that is, when calling the method
get_problem(id)
.
If get_problem is True
, the problem for the first matching ID is
returned.
>>> import cocoex as ex >>> s = ex.Suite("bbob", "", "") >>> s.ids("f001", "d10", "i01") ['bbob_f001_i01_d10']
We can sweep through all instances of the ellipsoidal function f10 in 20-D of the BBOB suite like this:
>>> import cocoex as ex >>> suite = ex.Suite("bbob", "", "") >>> ids = suite.ids("f010", "d20") >>> used_indices = [] >>> for p in suite: ... if p.id in ids: ... # work work work with problem `p` ... used_indices.append(p.index) >>> print(used_indices) [1575, 1576, 1577, 1578, 1579, 1580, 1581, 1582, 1583, 1584, 1585, 1586, 1587, 1588, 1589]
A desired problem can also be filtered out during creation:
>>> import cocoex as ex >>> f9 = ex.Suite("bbob", "", ... "function_indices:9 dimensions:20 instance_indices:1-5")[0] >>> print(f9.id) bbob_f009_i01_d20
return the "next" problem in this Suite
.
return the first problem on the first call or after
reset
().
next_problem
serves to sweep through the Suite
smoothly.
index in the enumerator of all problems in this suite.
Details: To get the index in the underlying C implementation, which
usually matches current_index
one-to-one, use:
>>> import cocoex as ex >>> suite = ex.Suite("bbob", "", "") >>> suite.current_index is None True >>> suite.next_problem().id[-17:].lower() 'bbob_f001_i01_d02' >>> suite.current_index, suite.indices[suite.current_index] (0, 0)
list of all problem indices, deprecated.
These values are (only) used to call the underlying C structures.
Indices used in the Python interface run between 0 and len(self)
.
Suite(name, instance, ...)


Float Labels allow for placeholders that will move to remain visible when the user is typing in the input field. This pattern is useful for forms where having separate labels for inputs is undesirable, and allows the user to keep the context of an input field even after they have entered a value.
Float labels should not be used together with input addons, which already provide context to the input.
To apply a float label to an input, place the .float-label
class on a div
element.
Place input
and label
elements inside; the label
must be the first element after the input
.
Set the placeholder
attribute on the input
to be the initial text that should be shown as the standard placeholder,
then set the text of the label
to be what should be shown when the user is typing.
Depending on the purpose of the input
, this text may either change to provide further context, or stay the same.
The input
should have the data-value
attribute set. The input
should have the data-toggle
attribute set to floatLabel
.
For a larger or smaller input, use the .input-lg
and .input-sm
classes on the input as required.


--- layout: post title: TextMate Theme & Key Bindings For Xcode disqus_id: /2010/03/19/textmate-theme-key-bindings-for-xcode/ categories: - apple-oS ---
I've been using Xcode for about 8 hard core months now and for all this time I have been using a theme I made that mimics the All Hallow's Eve TextMate theme with a bunch of custom key bindings that make Xcode more TextMate compatible. Here are links to download both below and a few notes I have put together. As I remember more of what I have actually done, this post will get updated. I do remember the first thing I did with Xcode for almost 3 days was just to customize the heck out of it and these files are the results.
|
TextMate All Hallows Eve Theme |
TextMate Key Bindings |
To use these download and unzip them. Please the theme in ~/Library/Application Support/Xcode/Color Themes
and place the bindings in ~/Library/Application Support/Xcode/Key Bindings
. That should be it. Hare are my notes for now on what the key bindings do.


Use the left mouse button to place or remove obstacles. Tip: you can also click and drag!
Use the right mouse button to place start and end points. The path calculation will immediately start after placing the end point.
Path will be calculated using a planning algorithm picked from the selection below.
Grid theme
Adjust cells size


public interface RepositoryService
| Modifier and Type | Method and Description |
|---|---|
void |
activateProcessDefinitionById(String processDefinitionId)
Activates the process definition with the given id.
|
void |
activateProcessDefinitionById(String processDefinitionId,
boolean activateProcessInstances,
Date activationDate)
Activates the process definition with the given id.
|
void |
activateProcessDefinitionByKey(String processDefinitionKey)
Activates the process definition with the given key (=id in the bpmn20.xml file).
|
void |
activateProcessDefinitionByKey(String processDefinitionKey,
boolean activateProcessInstances,
Date activationDate)
Activates the process definition with the given key (=id in the bpmn20.xml file).
|
void |
activateProcessDefinitionByKey(String processDefinitionKey,
boolean activateProcessInstances,
Date activationDate,
String tenantId)
Similar to
activateProcessDefinitionByKey(String, boolean, Date) , but only applicable for the given tenant identifier. |
void |
activateProcessDefinitionByKey(String processDefinitionKey,
String tenantId)
Similar to
activateProcessDefinitionByKey(String) , but only applicable for the given tenant identifier. |
void |
addCandidateStarterGroup(String processDefinitionId,
String groupId)
Authorizes a candidate group for a process definition.
|
void |
addCandidateStarterUser(String processDefinitionId,
String userId)
Authorizes a candidate user for a process definition.
|
void |
addModelEditorSource(String modelId,
byte[] bytes)
Saves the model editor source for a model
|
void |
addModelEditorSourceExtra(String modelId,
byte[] bytes)
Saves the model editor source extra for a model
|
void |
changeDeploymentTenantId(String deploymentId,
String newTenantId)
EXPERIMENTAL FEATURE!
Changes the tenant identifier of a deployment to match the given tenant identifier.
|
DeploymentBuilder |
createDeployment()
Starts creating a new deployment
|
DeploymentQuery |
createDeploymentQuery()
Query deployment.
|
ModelQuery |
createModelQuery()
Query models.
|
NativeDeploymentQuery |
createNativeDeploymentQuery()
Returns a new
NativeQuery for deployment. |
NativeModelQuery |
createNativeModelQuery()
Returns a new
NativeQuery for process definitions. |
NativeProcessDefinitionQuery |
createNativeProcessDefinitionQuery()
Returns a new
NativeQuery for process definitions. |
ProcessDefinitionQuery |
createProcessDefinitionQuery()
Query process definitions.
|
void |
deleteCandidateStarterGroup(String processDefinitionId,
String groupId)
Removes the authorization of a candidate group for a process definition.
|
void |
deleteCandidateStarterUser(String processDefinitionId,
String userId)
Removes the authorization of a candidate user for a process definition.
|
void |
deleteDeployment(String deploymentId)
Deletes the given deployment.
|
void |
deleteDeployment(String deploymentId,
boolean cascade)
Deletes the given deployment and cascade deletion to process instances,
history process instances and jobs.
|
void |
deleteDeploymentCascade(String deploymentId)
Deprecated.
use
deleteDeployment(String, boolean) . This methods may be deleted from 5.3. |
void |
deleteModel(String modelId) |
org.activiti.bpmn.model.BpmnModel |
getBpmnModel(String processDefinitionId)
Returns the
BpmnModel corresponding with the process definition with
the provided process definition id. |
List<String> |
getDeploymentResourceNames(String deploymentId)
Retrieves a list of deployment resources for the given deployment,
ordered alphabetically.
|
List<IdentityLink> |
getIdentityLinksForProcessDefinition(String processDefinitionId)
Retrieves the
IdentityLink s associated with the given process definition. |
Model |
getModel(String modelId)
Returns the
Model |
byte[] |
getModelEditorSource(String modelId)
Returns the model editor source as a byte array
|
byte[] |
getModelEditorSourceExtra(String modelId)
Returns the model editor source extra as a byte array
|
ProcessDefinition |
getProcessDefinition(String processDefinitionId)
Returns the
ProcessDefinition including all BPMN information like additional
Properties (e.g. |
InputStream |
getProcessDiagram(String processDefinitionId)
Gives access to a deployed process diagram, e.g., a PNG image, through a
stream of bytes.
|
DiagramLayout |
getProcessDiagramLayout(String processDefinitionId)
Provides positions and dimensions of elements in a process diagram as
provided by
getProcessDiagram(String) . |
InputStream |
getProcessModel(String processDefinitionId)
Gives access to a deployed process model, e.g., a BPMN 2.0 XML file,
through a stream of bytes.
|
InputStream |
getResourceAsStream(String deploymentId,
String resourceName)
Gives access to a deployment resource through a stream of bytes.
|
boolean |
isProcessDefinitionSuspended(String processDefinitionId)
Checks if the process definition is suspended.
|
Model |
newModel()
Creates a new model.
|
void |
saveModel(Model model)
Saves the model.
|
void |
setDeploymentCategory(String deploymentId,
String category)
Sets the category of the deployment.
|
void |
setProcessDefinitionCategory(String processDefinitionId,
String category)
Sets the category of the process definition.
|
void |
suspendProcessDefinitionById(String processDefinitionId)
Suspends the process definition with the given id.
|
void |
suspendProcessDefinitionById(String processDefinitionId,
boolean suspendProcessInstances,
Date suspensionDate)
Suspends the process definition with the given id.
|
void |
suspendProcessDefinitionByKey(String processDefinitionKey)
Suspends the all process definitions with the given key (= id in the bpmn20.xml file).
|
void |
suspendProcessDefinitionByKey(String processDefinitionKey,
boolean suspendProcessInstances,
Date suspensionDate)
Suspends the all process definitions with the given key (= id in the bpmn20.xml file).
|
void |
suspendProcessDefinitionByKey(String processDefinitionKey,
boolean suspendProcessInstances,
Date suspensionDate,
String tenantId)
Similar to
suspendProcessDefinitionByKey(String, boolean, Date) , but only applicable for the given tenant identifier. |
void |
suspendProcessDefinitionByKey(String processDefinitionKey,
String tenantId)
Similar to
suspendProcessDefinitionByKey(String) , but only applicable for the given tenant identifier. |
List<org.activiti.validation.ValidationError> |
validateProcess(org.activiti.bpmn.model.BpmnModel bpmnModel)
Validates the given process definition against the rules for executing a process definition
on the Activiti engine.
|
DeploymentBuilder createDeployment()
void deleteDeployment(String deploymentId)
deploymentId
- id of the deployment, cannot be null.void deleteDeploymentCascade(String deploymentId)
deleteDeployment(String, boolean)
. This methods may be deleted from 5.3.deploymentId
- id of the deployment, cannot be null.void deleteDeployment(String deploymentId, boolean cascade)
deploymentId
- id of the deployment, cannot be null.void setDeploymentCategory(String deploymentId, String category)
DeploymentQuery.deploymentCategory(String)
.ActivitiObjectNotFoundException
- if no deployment with the provided id can be found.List<String> getDeploymentResourceNames(String deploymentId)
deploymentId
- id of the deployment, cannot be null.InputStream getResourceAsStream(String deploymentId, String resourceName)
deploymentId
- id of the deployment, cannot be null.resourceName
- name of the resource, cannot be null.ActivitiObjectNotFoundException
- when the resource doesn't exist in the given deployment or when no deployment exists
for the given deploymentId.void changeDeploymentTenantId(String deploymentId, String newTenantId)
deploymentId
- The id of the deployment of which the tenant identifier will be changed.newTenantId
- The new tenant identifier.ProcessDefinitionQuery createProcessDefinitionQuery()
NativeProcessDefinitionQuery createNativeProcessDefinitionQuery()
NativeQuery
for process definitions.DeploymentQuery createDeploymentQuery()
NativeDeploymentQuery createNativeDeploymentQuery()
NativeQuery
for deployment.void suspendProcessDefinitionById(String processDefinitionId)
ActivitiObjectNotFoundException
- if no such processDefinition can be foundActivitiException
- if the process definition is already in state suspended.void suspendProcessDefinitionById(String processDefinitionId, boolean suspendProcessInstances, Date suspensionDate)
suspendProcessInstances
- If true, all the process instances of the provided process definition
will be suspended too.suspensionDate
- The date on which the process definition will be suspended. If null, the
process definition is suspended immediately.
Note: The job executor needs to be active to use this!ActivitiObjectNotFoundException
- if no such processDefinition can be found.ActivitiException
- if the process definition is already in state suspended.void suspendProcessDefinitionByKey(String processDefinitionKey)
ActivitiObjectNotFoundException
- if no such processDefinition can be foundActivitiException
- if the process definition is already in state suspended.void suspendProcessDefinitionByKey(String processDefinitionKey, boolean suspendProcessInstances, Date suspensionDate)
suspendProcessInstances
- If true, all the process instances of the provided process definition
will be suspended too.suspensionDate
- The date on which the process definition will be suspended. If null, the
process definition is suspended immediately.
Note: The job executor needs to be active to use this!ActivitiObjectNotFoundException
- if no such processDefinition can be foundActivitiException
- if the process definition is already in state suspended.void suspendProcessDefinitionByKey(String processDefinitionKey, String tenantId)
suspendProcessDefinitionByKey(String)
, but only applicable for the given tenant identifier.void suspendProcessDefinitionByKey(String processDefinitionKey, boolean suspendProcessInstances, Date suspensionDate, String tenantId)
suspendProcessDefinitionByKey(String, boolean, Date)
, but only applicable for the given tenant identifier.void activateProcessDefinitionById(String processDefinitionId)
ActivitiObjectNotFoundException
- if no such processDefinition can be found or if the process definition is already in state active.void activateProcessDefinitionById(String processDefinitionId, boolean activateProcessInstances, Date activationDate)
activationDate
- The date on which the process definition will be activated. If null, the
process definition is activated immediately.
Note: The job executor needs to be active to use this!ActivitiObjectNotFoundException
- if no such processDefinition can be found.ActivitiException
- if the process definition is already in state active.void activateProcessDefinitionByKey(String processDefinitionKey)
ActivitiObjectNotFoundException
- if no such processDefinition can be found.ActivitiException
- if the process definition is already in state active.void activateProcessDefinitionByKey(String processDefinitionKey, boolean activateProcessInstances, Date activationDate)
activationDate
- The date on which the process definition will be activated. If null, the
process definition is activated immediately.
Note: The job executor needs to be active to use this!ActivitiObjectNotFoundException
- if no such processDefinition can be found.ActivitiException
- if the process definition is already in state active.void activateProcessDefinitionByKey(String processDefinitionKey, String tenantId)
activateProcessDefinitionByKey(String)
, but only applicable for the given tenant identifier.void activateProcessDefinitionByKey(String processDefinitionKey, boolean activateProcessInstances, Date activationDate, String tenantId)
activateProcessDefinitionByKey(String, boolean, Date)
, but only applicable for the given tenant identifier.void setProcessDefinitionCategory(String processDefinitionId, String category)
ProcessDefinitionQuery.processDefinitionCategory(String)
.ActivitiObjectNotFoundException
- if no process defintion with the provided id can be found.InputStream getProcessModel(String processDefinitionId)
processDefinitionId
- id of a ProcessDefinition
, cannot be null.ActivitiObjectNotFoundException
- when the process model doesn't exist.InputStream getProcessDiagram(String processDefinitionId)
processDefinitionId
- id of a ProcessDefinition
, cannot be null.ProcessDefinition
is null.ActivitiObjectNotFoundException
- when the process diagram doesn't exist.ProcessDefinition getProcessDefinition(String processDefinitionId)
ProcessDefinition
including all BPMN information like additional
Properties (e.g. documentation).org.activiti.bpmn.model.BpmnModel getBpmnModel(String processDefinitionId)
BpmnModel
corresponding with the process definition with
the provided process definition id. The BpmnModel
is a pojo versions
of the BPMN 2.0 xml and can be used to introspect the process definition
using regular Java.boolean isProcessDefinitionSuspended(String processDefinitionId)
DiagramLayout getProcessDiagramLayout(String processDefinitionId)
getProcessDiagram(String)
.
This method requires a process model and a diagram image to be deployed.processDefinitionId
- id of a ProcessDefinition
, cannot be null.ActivitiObjectNotFoundException
- when the process model or diagram doesn't exist.Model newModel()
saveModel(Model)
.void saveModel(Model model)
model
- model to save, cannot be null.void deleteModel(String modelId)
modelId
- id of model to delete, cannot be null. When an id is passed
for an unexisting model, this operation is ignored.void addModelEditorSource(String modelId, byte[] bytes)
modelId
- id of model to delete, cannot be null. When an id is passed
for an unexisting model, this operation is ignored.void addModelEditorSourceExtra(String modelId, byte[] bytes)
modelId
- id of model to delete, cannot be null. When an id is passed
for an unexisting model, this operation is ignored.ModelQuery createModelQuery()
NativeModelQuery createNativeModelQuery()
NativeQuery
for process definitions.byte[] getModelEditorSource(String modelId)
modelId
- id of modelbyte[] getModelEditorSourceExtra(String modelId)
modelId
- id of modelvoid addCandidateStarterUser(String processDefinitionId, String userId)
processDefinitionId
- id of the process definition, cannot be null.userId
- id of the user involve, cannot be null.ActivitiObjectNotFoundException
- when the process definition or user doesn't exist.void addCandidateStarterGroup(String processDefinitionId, String groupId)
processDefinitionId
- id of the process definition, cannot be null.groupId
- id of the group involve, cannot be null.ActivitiObjectNotFoundException
- when the process definition or group doesn't exist.void deleteCandidateStarterUser(String processDefinitionId, String userId)
processDefinitionId
- id of the process definition, cannot be null.userId
- id of the user involve, cannot be null.ActivitiObjectNotFoundException
- when the process definition or user doesn't exist.void deleteCandidateStarterGroup(String processDefinitionId, String groupId)
processDefinitionId
- id of the process definition, cannot be null.groupId
- id of the group involve, cannot be null.ActivitiObjectNotFoundException
- when the process definition or group doesn't exist.List<IdentityLink> getIdentityLinksForProcessDefinition(String processDefinitionId)
IdentityLink
s associated with the given process definition.
Such an IdentityLink
informs how a certain identity (eg. group or user)
is authorized for a certain process definitionList<org.activiti.validation.ValidationError> validateProcess(org.activiti.bpmn.model.BpmnModel bpmnModel)
BpmnModel
from a String, following code may be used:
XMLInputFactory xif = XMLInputFactory.newInstance();
InputStreamReader in = new InputStreamReader(new ByteArrayInputStream(myProcess.getBytes()), "UTF-8"); // Change to other streams for eg from classpath
XMLStreamReader xtr = xif.createXMLStreamReader(in);
bpmnModel = new BpmnXMLConverter().convertToBpmnModel(xtr);Copyright © 2017 Flowable. All rights reserved.


|
Bullet Collision Detection & Physics Library
|
Go to the source code of this file.
Classes | |
| class | btHingeConstraint |
| hinge constraint between two rigidbodies each with a pivotpoint that descibes the axis location in local space axis defines the orientation of the hinge axis More... | |
| struct | btHingeConstraintDoubleData |
| this structure is not used, except for loading pre-2.82 .bullet files More... | |
| class | btHingeAccumulatedAngleConstraint |
| The getAccumulatedHingeAngle returns the accumulated hinge angle, taking rotation across the -PI/PI boundary into account. More... | |
| struct | btHingeConstraintFloatData |
| struct | btHingeConstraintDoubleData2 |
| do not change those serialization structures, it requires an updated sBulletDNAstr/sBulletDNAstr64 More... | |
Macros | |
| #define | _BT_USE_CENTER_LIMIT_ 1 |
| #define | btHingeConstraintData btHingeConstraintFloatData |
| #define | btHingeConstraintDataName "btHingeConstraintFloatData" |
Enumerations | |
| enum | btHingeFlags { BT_HINGE_FLAGS_CFM_STOP = 1, BT_HINGE_FLAGS_ERP_STOP = 2, BT_HINGE_FLAGS_CFM_NORM = 4, BT_HINGE_FLAGS_ERP_NORM = 8 } |
| #define _BT_USE_CENTER_LIMIT_ 1 |
Definition at line 21 of file btHingeConstraint.h.
| #define btHingeConstraintData btHingeConstraintFloatData |
Definition at line 33 of file btHingeConstraint.h.
| #define btHingeConstraintDataName "btHingeConstraintFloatData" |
Definition at line 34 of file btHingeConstraint.h.
| enum btHingeFlags |
| Enumerator | |
|---|---|
| BT_HINGE_FLAGS_CFM_STOP | |
| BT_HINGE_FLAGS_ERP_STOP | |
| BT_HINGE_FLAGS_CFM_NORM | |
| BT_HINGE_FLAGS_ERP_NORM |
Definition at line 37 of file btHingeConstraint.h.


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Some course notes by Andy Sleigh
CIVE2470 - Level 2 Fluids - Pipes and Pipe networks
CIVE3415 - Level 3 Fluids - Open Channel Flow


Money Play. How should Red play 22?
pips Red=161 White=158
(CorrectAnswer= 0/0, ErrorScore= 0)
Red has a lead in development and he shouldn’t passively make two new points, attractive though that may look.
13/7* is virtually mandatory here. As well as gaining a tempo it also develops that ugly stack of checkers on the mid-point.
The question is how to play the 2? 7/5 is too bold and 6/4 is the wrong place for that checker so it is a choice between 24/22 and 13/11. The latter follows Magriel’s ‘hit and split’ maxim while 13/11 continues to develop the extra checkers on the mid-point.
The rollouts have 13/11 by a short head but it’s very close and 24/22 is certainly not an error.
13/7* is virtually mandatory here. As well as gaining a tempo it also develops that ugly stack of checkers on the mid-point.
The question is how to play the 2? 7/5 is too bold and 6/4 is the wrong place for that checker so it is a choice between 24/22 and 13/11. The latter follows Magriel’s ‘hit and split’ maxim while 13/11 continues to develop the extra checkers on the mid-point.
The rollouts have 13/11 by a short head but it’s very close and 24/22 is certainly not an error.
1. Cubeful 2-ply 13/7* 13/11 Eq.: +0.311 0.568 0.204 0.012 - 0.432 0.117 0.007 2. Cubeful 2-ply 24/22 13/7* Eq.: +0.302 (-0.010) 0.566 0.192 0.010 - 0.434 0.108 0.005 3. Cubeful 2-ply 13/7*/5 Eq.: +0.226 (-0.085) 0.546 0.186 0.010 - 0.454 0.122 0.007 4. Cubeful 2-ply 13/7* 6/4 Eq.: +0.224 (-0.088) 0.548 0.190 0.010 - 0.452 0.120 0.007 5. Cubeful 2-ply 24/20(2) Eq.: +0.197 (-0.114) 0.547 0.128 0.003 - 0.453 0.062 0.001


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