Description
Folks,
Trying to install control 0.7.0 under Python 2.7 with conda gives me considerable number of downgrades as shown below. System is Ubuntu 64 bit 1604.
Particularly, control seems to want Numpy 1.9 whereas conda's latest build is 1.12.0
I don't think conda-forge's mismatching is the problem as I've nuked conda-forge on a different workstation and gotten the same problem.
Any ideas?
regards
pat
pat@pat-cuda:~/anaconda2$ conda install -c python-control control=0.7.0
Fetching package metadata .............
Solving package specifications: .
Package plan for installation in environment /home/pat/anaconda2:
The following NEW packages will be INSTALLED:
control: 0.7.0-np19py27_0 python-control
llvm: 3.3-0
llvmpy: 0.12.7-py27_0
olefile: 0.44-py27_0
py2cairo: 1.10.0-py27_2
system: 5.8-2
The following packages will be UPDATED:
fontconfig: 2.11.1-6 conda-forge --> 2.11.1-6
pillow: 3.4.2-py27_0 conda-forge --> 4.0.0-py27_1
qt: 4.8.7-3 conda-forge --> 4.8.7-4
tensorflow: 0.10.0rc0-np111py27_0 --> 0.10.0-py27_0 conda-forge
The following packages will be SUPERCEDED by a higher-priority channel:
cairo: 1.14.6-0 conda-forge --> 1.12.18-6
freetype: 2.6.3-1 conda-forge --> 2.5.5-1
matplotlib: 2.0.0rc2-np111py27_2 conda-forge/label/rc --> 1.4.3-np19py27_2
pango: 1.40.1-0 conda-forge --> 1.39.0-0
The following packages will be DOWNGRADED due to dependency conflicts:
astropy: 1.3-np111py27_0 --> 1.0.4-np19py27_0
bottleneck: 1.1.0-np111py27_0 --> 1.0.0-np19py27_0
dask: 0.13.0-py27_0 --> 0.11.1-py27_0
h5py: 2.6.0-np111py27_2 --> 2.5.0-np19py27_3
hdf5: 1.8.17-1 --> 1.8.15.1-3
libpng: 1.6.27-0 --> 1.6.17-0
numba: 0.30.0-np111py27_0 --> 0.15.1-np19py27_0
numexpr: 2.6.1-np111py27_1 --> 2.4.4-np19py27_0
numpy: 1.11.2-py27_0 --> 1.9.3-py27_3
pandas: 0.19.2-np111py27_0 --> 0.17.1-np19py27_0
pixman: 0.34.0-0 --> 0.32.6-0
protobuf: 3.0.0-py27_1 --> 3.0.0b2-py27_0 conda-forge
pyparsing: 2.1.4-py27_0 --> 2.0.3-py27_0
pytables: 3.3.0-np111py27_0 --> 3.2.2-np19py27_0
scikit-image: 0.12.3-np111py27_1 --> 0.11.3-np19py27_0
scikit-learn: 0.18.1-np111py27_0 --> 0.16.1-np19py27_0
scipy: 0.18.1-np111py27_0 --> 0.17.1-np19py27_1
statsmodels: 0.6.1-np111py27_1 --> 0.6.1-np19py27_0