tkoolen

StackOverflowError:

Stacktrace:
 [1] ⊑(::Any, ::Any) at ./inference.jl:2148
 [2] inlineable(::Any, ::Any, ::Expr, ::Array{Any,1}, ::Core.Inference.InferenceState, ::Array{Any,1}) at ./inference.jl:3655
 [3] inlining_pass(::Expr, ::Core.Inference.InferenceState, ::Array{Any,1}, ::Int64) at ./inference.jl:4428
 [4] inlining_pass(::Expr, ::Core.Inference.InferenceState, ::Array{Any,1}, ::Int64) at ./inference.jl:4327 (repeats 2 times)
 [5] inlining_pass!(::Core.Inference.InferenceState) at ./inference.jl:4265
 [6] optimize(::Core.Inference.InferenceState) at ./inference.jl:2905
 [7] typeinf(::Core.Inference.InferenceState) at ./inference.jl:2816

tkoolen

julia> versioninfo()
Julia Version 0.6.2
Commit d386e40c17 (2017-12-13 18:08 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Core(TM) i7-6950X CPU @ 3.00GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm

tkoolen

using OrdinaryDiffEq
using DiffEqCallbacks

lc1 = -0.5
l1 = -1.
m1 = 1.
I1 = 0.333
lc2 = -1.
l2 = -2.
m2 = 1.

tkoolen

using OrdinaryDiffEq
using DiffEqCallbacks

lc1 = -0.5
l1 = -1.
m1 = 1.
I1 = 0.333
lc2 = -1.
l2 = -2.
m2 = 1.

tkoolen

julia> solve(m)

******************************************************************************
This program contains Ipopt, a library for large-scale nonlinear optimization.
 Ipopt is released as open source code under the Eclipse Public License (EPL).
         For more information visit http://projects.coin-or.org/Ipopt
******************************************************************************

  Internal error 2 in QAMD : Schur size expected:           0 Real:           1
 ** MPI_ABORT called

tkoolen

[[AmplNLWriter]]
deps = ["Compat", "MathProgBase"]
git-tree-sha1 = "b1e6ab8c6ea5d708c87b98cd6e9b1325f295b405"
uuid = "7c4d4715-977e-5154-bfe0-e096adeac482"
version = "0.4.2"

[[Base64]]
uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"

[[BinDeps]]

tkoolen

[[AssetRegistry]]
deps = ["Distributed", "JSON", "Pidfile", "SHA", "Test"]
git-tree-sha1 = "b25e88db7944f98789130d7b503276bc34bc098e"
uuid = "bf4720bc-e11a-5d0c-854e-bdca1663c893"
version = "0.1.0"

[[AxisAlgorithms]]
deps = ["Compat", "WoodburyMatrices"]
git-tree-sha1 = "99dabbe853e4f641ab21a676131f2cf9fb29937e"
uuid = "13072b0f-2c55-5437-9ae7-d433b7a33950"

tkoolen

<?xml version="1.0" encoding="utf-8"?>
<robot name="hyq">
  <link name="base_link">
    <inertial>
      <origin xyz="0.0560691331299813 0.021493682967627666 0.0036081141592049586" rpy="0.0 0.0 0.0"/>
      <mass value="60.978"/>
      <inertia ixx="1.5727651692862368" ixy="0.02846518720991833" ixz="-0.20354038112779044" iyy="8.502743030521936" iyz="-0.004425323842294127" izz="9.196486342929056"/>
    </inertial>
  </link>
  <link name="lf_hipassembly">

tkoolen

using RigidBodyDynamics
using Test

function randmech()
    rand_tree_mechanism(Float64,
        QuaternionFloating{Float64},
        [Revolute{Float64} for i = 1 : 5]...,
        [Fixed{Float64} for i = 1 : 5]...,
        [Prismatic{Float64} for i = 1 : 5]...,
        [Planar{Float64} for i = 1 : 5]...,