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>>> import vtl
>>> t := vtl.from_array([1.0, 2, 3, 4], [2, 2])
>>> t.get([1, 1])
4.0- An n-dimensional
Tensordata structure - Sophisticated reduction, elementwise, and accumulation operations
- Data Structures that can easily be passed to C libraries
- Powerful linear algebra routines backed by VSL.
In the docs you can find more information about this module
We use VSL as backend for some functionalities.
VTL requires VSL's linear algebra module.
If you wish you to use vtl without these, the vtl module will still function as normal.
Follow this install instructions at VSL docs in order to install VSL with all needed dependencies.
Via vpm
$ v install vtlVia vpkg
$ vpkg get https://github.com/vlang/vtlDone. Installation completed.
To test the module, just type the following command:
$ ./bin/test # execute `./bin/test -h` to know more about the test commandThis work was originally based on the work done by Christopher (christopherzimmerman) and the rest of the VLang-Num group.
The development of this library continues its course after having reimplemented its core and a large part of its interface. In the same way, we do not want to stop recognizing the work and inspiration that the library done by Christopher has given.
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