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Just as agents can be segmented into groups in Zendesk Support, your customers (end-users) can be segmented into organizations. You can manually assign customers to an organization or automatically assign them to an organization by their email address domain. Organizations can be used in business rules to route tickets to groups of agents or to send email notifications.
Organizations are represented as simple flat JSON objects with the following keys:
GET /api/v2/organizations.json
GET /api/v2/users/{user_id}/organizations.json
GET /api/v2/organizations/autocomplete.json?name={name}
Returns an array of organizations whose name starts with the value specified in the
name
parameter.
GET /api/v2/organizations/{id}/related.json
GET /api/v2/organizations/{id}.json
GET /api/v2/organizations/show_many.json?ids={ids}
GET /api/v2/organizations/show_many.json?external_ids={external_ids}
POST /api/v2/organizations.json
Note : You must provide a unique name for each organization. Normally the system doesn't allow records to be created with identical names. However, a race condition can occur if you make two or more identical POSTs very close to each other, causing the records to have identical organization names.
POST /api/v2/organizations/create_many.json
This endpoint returns a
job_status
JSON object
and queues a background job to do the work. Use the
Show Job Status
endpoint to check for the job's completion.
POST /api/v2/organizations/create_or_update.json
Creates an organization if it doesn't already exist, or updates an existing organization identified by ID or external ID. Using this method means one less call to check if an organization exists before creating it.
Existing organization identified by ID:
Existing organization identified by external ID:
If the organization was created:
If an existing organization was updated:
PUT /api/v2/organizations/{id}.json
PUT /api/v2/organizations/update_many.json
PUT /api/v2/organizations/update_many.json?ids={ids}
PUT /api/v2/organizations/update_many.json?external_ids={external_ids}
Bulk or batch updates up to 100 organizations.
To make the same change to multiple organizations, use the following endpoint and data format:
NSF award to UT Austin builds on success of Stampede supercomputer system and provides additional advanced computational capacity to thousands of researchers
Texas Advanced Computing Center will acquire and deploy a new large-scale supercomputing system.
June 2, 2016
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts .
Today, the National Science Foundation (NSF) announced a $30 million award to the Texas Advanced Computing Center (TACC) at The University of Texas at Austin (UT Austin) to acquire and deploy a new large-scale supercomputing system, Stampede 2, as a strategic national resource to provide high-performance computing (HPC) capabilities for thousands of researchers across the U.S.
This award builds on technology and expertise from the Stampede system first funded by NSF in 2011 and will deliver a peak performance of up to 18 Petaflops, over twice the overall system performance of the current Stampede system. Stampede 2 will be among the first systems to employ cutting-edge processor and memory technology to continue to bridge users to future cyberinfrastructure.
Stampede 2 will be deployed by TACC in conjunction with vendor partners Dell Inc., Intel Corporation, and Seagate Technology, and operated by a team of cyberinfrastructure experts at TACC, UT Austin, Clemson University, Cornell University, the University of Colorado at Boulder, Indiana University, and Ohio State University.
"NSF is proud to join with the University of Texas at Austin in supporting the nation's academic researchers in science and engineering with the latest in advanced computing technology and expertise," said Irene Qualters, NSF Division Director for Advanced Cyberinfrastructure. "Stampede 2's capabilities will complement and significantly expand the diverse portfolio of computing resources increasingly essential to exploration at the frontiers of science and engineering."
The announcement of Stampede 2 comes at a time when the use of NSF-supported research cyberinfrastructure resources is at an all-time high and continuing to increase across all science and engineering disciplines. Since 2005, the number of active institutions using this research cyberinfrastructure has doubled, the number of principal investigators has tripled, and the number of active users has quintupled. Furthering the Stampede system will help enable a growing number of scientists to have access to computation at-scale.
When I mentioned that one of my now-retired colleagues was responsible for maintaining Notepad , commenter Neil noted, " I can't imagine theres much actual maintenance ."
You'd be surprised.
For one thing, Notepad is a common guinea pig. If a team is adding a new feature, they may ask Notepad to support the feature, in order to get some feedback on how well the feature works in a "real program", rather than a unit test.
For example, did you know that you can type into Notepad's File Open dialog?
Of the various improvements he made to Notepad, there are two that stand out in my memory.
First was the Status Bar. There is no obvious way to be notified when the caret moves within an edit control, but my colleague figured out a way: Notepad registers for its own object location change accessibility notifications. That way, it learns when the caret moves and can respond by updating the status bar with the caret's current location.
Second was how he got Notepad to load files so quickly. When he took over ownership of Notepad, the program read the file into memory before handing it to the edit control. He kept finding little shortcuts to shave off some time here, offload some work there, and when he was done, Notepad had gotten completely out of the file-parsing business. To load a file, Notepad maps a view of the file as a memory-mapped file and uses that as the source. The code figures out the encoding, performs a code page conversion to UTF-16LE if necessary, puts the result in a memory block, and then uses the message to hand that entire block to the edit control.
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.
He was particularly proud of the fact that he improved the performance of loading a file into Notepad by deleting lots of code from the "Load a file" function.
How appropriate timed, I hear that notepad finally gets support for other newline styles.
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La cartera de Estado precisó que el sismo se registró a las 12.45 hora local (18.45 GMT) con una profundidad focal de 58.1 kilómetros
SAN SALVADOR.
Un sismo de magnitud 4.3 en la escala abierta de Richter sacudió este viernes el Pacífico salvadoreño frente al departamento occidental de Ahuchapán, sin que hasta el momento se reporten víctimas ni daños, informó el Ministerio de Medio Ambiente y Recursos Naturales (MARN).
magnitud 4.3 Pacífico salvadoreñoLa cartera de Estado precisó que el sismo se registró a las 12.45 hora local (18.45 GMT) con una profundidad focal de 58.1 kilómetros e intensidad de dos en la escala modificada de Mercalli en el referido departamento.
Los últimos 10 sismos computados por las autoridades medioambientales en el territorio de El Salvador oscilan entre las magnitudes de 3.5 y 5.1, todos sin consecuencias.
El SalvadorPresentado por