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Merge pull request #562 from JuliaRobotics/tk/version
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Set version to 2.1.0 and point to latest stable documentation again.
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tkoolen authored Jun 24, 2019
2 parents f2f8420 + 9b0b3cb commit 0fde330
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2 changes: 1 addition & 1 deletion Project.toml
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name = "RigidBodyDynamics"
uuid = "366cf18f-59d5-5db9-a4de-86a9f6786172"
version = "2.0.0"
version = "2.1.0"

[deps]
DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
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2 changes: 1 addition & 1 deletion README.md
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RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be **user friendly** and [**performant**](https://github.com/JuliaRobotics/RigidBodyDynamics.jl/blob/master/docs/src/benchmarks.md), but also **generic** in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply `Float64` or `Float32` inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g. [`SymPy.Sym`](https://github.com/JuliaPy/SymPy.jl) inputs. If gradients are required, e.g. the [`ForwardDiff.Dual`](https://github.com/JuliaDiff/ForwardDiff.jl) type, which implements forward-mode [automatic differentiation](https://en.wikipedia.org/wiki/Automatic_differentiation), can be used.

See the [latest documentation](https://JuliaRobotics.github.io/RigidBodyDynamics.jl/dev) for a list of features, installation instructions, and a quick-start guide. Installation should only take a couple of minutes, including installing Julia itself. The documentation includes various usage examples, starting with a [quickstart guide](http://www.juliarobotics.org/RigidBodyDynamics.jl/dev/generated/1.%20Quickstart%20-%20double%20pendulum/1.%20Quickstart%20-%20double%20pendulum/). These examples are also runnable locally as Jupyter notebooks; see [the readme in the examples directory](https://github.com/JuliaRobotics/RigidBodyDynamics.jl/blob/master/examples/README.md) for instructions.
See the [latest stable documentation](https://JuliaRobotics.github.io/RigidBodyDynamics.jl/stable) for a list of features, installation instructions, and a quick-start guide. Installation should only take a couple of minutes, including installing Julia itself. The documentation includes various usage examples, starting with a [quickstart guide](http://www.juliarobotics.org/RigidBodyDynamics.jl/dev/generated/1.%20Quickstart%20-%20double%20pendulum/1.%20Quickstart%20-%20double%20pendulum/). These examples are also runnable locally as Jupyter notebooks; see [the readme in the examples directory](https://github.com/JuliaRobotics/RigidBodyDynamics.jl/blob/master/examples/README.md) for instructions.


## Related packages
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2 comments on commit 0fde330

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Release notes:

  • Change over from Jupyter notebooks to Literate.jl source files (from which both Markdown documentation and Jupyter notebooks are generated) (Use Literate.jl instead of example notebooks #489)
  • Minor parse_urdf API update (parse_urdf API update #552). Although this is technically a breaking change, I doubt anyone was relying on the old behavior already, hence the minor version update.

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Registration pull request created: JuliaRegistries/General/1530

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if Julia TagBot is installed, or can be done manually through the github interface, or via:

git tag -a v2.1.0 -m "<description of version>" 0fde3303625601245ff523f425977966643f19fe
git push origin v2.1.0

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