putting a time profiling module in the code for testing purposes

pyglance/glance/glance_time_profile.py

+#!/usr/bin/env python
+"""
+This wrapper module is used to profile time spent in different parts of Glance's code.
+The only people who should be using this wrapper are developers working on Glance.
+
+To use it, call the module using the syntax that you would call Glance with on the command line.
+For example:
+
+python /pathToGitRepository/uwglance/pyglance/glance/glance_time_profile.py report A.nc B.nc
+
+Once the inner Glance command has run, this wrapper will print the top 100 places in code
+where the run spent it's time, sorted with the most time consuming first. This should hopefully
+give you a rough picture of which calculations are slowing Glance down.
+
+Created by evas March 2022.
+Copyright (c) 2022 University of Wisconsin SSEC. All rights reserved.
+"""
+
+import glance.compare
+import cProfile
+import pstats
+
+cProfile.run('glance.compare.main()','statsinfo')
+
+print('\n\n\nShowing resulting stats:\n')
+p = pstats.Stats('statsinfo')
+
+# sort by the ones that took the most total time, and only print the top 100
+p.strip_dirs().sort_stats('time').print_stats(100)