When I try to update all packages in my Anaconda3 virtualenv using the conda update --all command, instead of upgrading all packages, some packages Anaconda tells me would be downgraded.
This is the output of the conda update --all command:
Fetching package metadata: ....
Solving package specifications: ......................................................................................................................................................................................................................................................................................
Package plan for installation in environment /home/xiaolong/development/anaconda3/envs/jupyter:
The following packages will be downloaded:
package | build
---------------------------|-----------------
mkl-rt-11.1 | p0 100.1 MB
numpy-1.10.2 | py35_p0 5.8 MB
pillow-3.1.1 | py35_0 812 KB
werkzeug-0.11.4 | py35_0 420 KB
clyent-1.2.1 | py35_0 13 KB
numexpr-2.4.4 | np110py35_p0 334 KB
scipy-0.16.1 | np110py35_p0 23.2 MB
bokeh-0.11.1 | py35_0 3.1 MB
datashape-0.5.1 | py35_0 91 KB
scikit-learn-0.17 | np110py35_p1 8.8 MB
odo-0.4.2 | py35_0 176 KB
------------------------------------------------------------
Total: 142.8 MB
The following NEW packages will be INSTALLED:
mkl-rt: 11.1-p0
The following packages will be UPDATED:
bokeh: 0.11.0-py35_0 --> 0.11.1-py35_0
clyent: 1.2.0-py35_0 --> 1.2.1-py35_0
datashape: 0.5.0-py35_0 --> 0.5.1-py35_0
odo: 0.4.0-py35_0 --> 0.4.2-py35_0
pillow: 3.1.0-py35_0 --> 3.1.1-py35_0
werkzeug: 0.11.3-py35_0 --> 0.11.4-py35_0
The following packages will be DOWNGRADED:
numexpr: 2.4.6-np110py35_1 --> 2.4.4-np110py35_p0 [mkl]
numpy: 1.10.4-py35_0 --> 1.10.2-py35_p0 [mkl]
scikit-learn: 0.17-np110py35_2 --> 0.17-np110py35_p1 [mkl]
scipy: 0.17.0-np110py35_1 --> 0.16.1-np110py35_p0 [mkl]
Proceed ([y]/n)?
I'd like to know why this is happening. Why would some packages be downgraded? Maybe a better question is:
What changed in those downgrading versions of the packages, so that now when I update other packages, they need to be reverted to an earlier version?
From this I hope to conclude, whether I need any property of the current version of for example scipy, or if I can let it be downgraded.
