conda environment takes a long time to solve

[prjemian]

Can the time to solve the conda environment requirements be reduced?

[prjemian]

Reduced times will benefit work on #65.

[prjemian]

Some requirements will be moved to pip install.

[prjemian]

Time to build (re)install conda environment

====================  ==========  ==============================
phase                 elapsed, s  comments
====================  ==========  ==============================
Python core           29          no downloads
+testing and QA       33          no downloads
+Qt                   35          no downloads
+general support      152         includes numpy 1.21.5 download
repeat                126         no downloads, still a long time
just 2 packages       65          bitshuffle, epics-base
-bitshuffle           36          only epics-base
+pyEpics              41
+pandas, pint         41
+ipympl, lxml         45
+pymongo, xlrd        45
+h5py                 50
+imagecodecs-lite     101         <-- !
+scikit-image         89          time dropped
+HDF5 compression     129         bitshuffle, hdf5plugin
+Bluesky framework    866         <-- !
-hklpy, pydm          375         <-- !
-bluesky-widgets      338
+pydm                 414         hklpy & bluesky-widgets take ~6m to solve (move to pip?)
+user requests        157         but no Bluesky framework packages
+packaging tools      248
+pip installs         178         but no packaging tools
+pip install          161         bluesky-widgets
+pip install          178         hklpy - pulls in more of Bluesky
+pip install          163         remaining Bluesky packages
final version         155
====================  ==========  ==============================

[prjemian]

More than 5x faster.

[prjemian]

bash script to time each installation variation

#!/bin/bash

begin=$(date +%s)
conda env create --force -f ./entest.yml
end=$(date +%s)
echo "elapsed $(($end-$begin))"