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path: root/util/stats/output.py
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2006-06-10Remove all binning stuffNathan Binkert
--HG-- extra : convert_revision : 6da2b3b0b6c2824f2064d42670fd8383edb7c718
2006-02-26Allow graph_group to not be selected so we can have aNathan Binkert
normal ungrouped barchart --HG-- extra : convert_revision : 7d55440c9bb060607eddbb72448a3413944bb6ba
2005-11-22Major improvements in the graph output code. Mostly adding moreNathan Binkert
options, making existing options more visible and dealing with holes in data better. util/stats/barchart.py: - move the options for BarChart to a base class ChartOptions so they can be more easily set and copied. - add an option to set the chart size (so you can adjust the aspect ratio) - don't do the add_subplot thing, use add_axes directly so we can affect the size of the figure itself to make room for the legend - make the initial array bottom floating point so we don't lose precision - add an option to set the limits on the y axis - use a figure legend instead of an axes legend so we can put the legend outside of the actual chart. Also add an option to set the fontsize of the legend. - initial hack at outputting csv files util/stats/db.py: don't print out an error when the run is missing from the database just return None, the error will be print elsewhere. util/stats/output.py: - make StatOutput derive from ChartOptions so that it's easier to set default chart options. - make the various output functions (graph, display, etc.) take the name of the data as a parameter instead of making it a parameter to __init__. This allows me to create the StatOutput object with generic parameters while still being able to specialize the name after the fact - add support for graph_group and graph_bars to be applied to multiple configuration groups. This results in a cross product of the groups to be generated and used. - flush the html file output as we go so that we can load the file while graphs are still being generated. - make the proxy a parameter to the graph function so the proper system's data can be graphed - for any groups or bars that are completely missing, remove them from the graph. This way, if we decide not to do a set of runs, there won't be holes in the data. - output eps and ps by default in addition to the png. util/stats/profile.py: - clean up the data structures that are used to store the function profile information and try our best to avoid keeping extra data around that isn't used. - make get() return None if a job is missing so we know it was missing rather than the all zeroes thing. - make the function profile categorization stuff total up to 100% - Fixup the x-axis and y-axis labels. - fix the dot file output stuff. util/stats/stats.py: support the new options stuff for StatOutput --HG-- extra : convert_revision : fae35df8c57a36257ea93bc3e0a0e617edc46bb7
2005-10-21Major cleanup of the statistics handling codeNathan Binkert
util/stats/db.py: Build a result object as the result of a query operation so it is easier to populate and contains a bit more information than just a big dict. Also change the next level data into a matrix instead of a dict of dicts. Move the "get" function into the Database object. (The get function is used by the output parsing function as the interface for accessing backend storage, same interface for profile stuff.) Change the old get variable to the method variable, it describes how the get works, (whether using sum, stdev, etc.) util/stats/display.py: Clean up the display functions, mostly formatting. Handle values the way they should be now. util/stats/info.py: Totally re-work how values are accessed from their data store. Access individual values on demand instead of calculating everything and passing up a huge result from the bottom. This impacts the way that proxying works, and in general, everything is now esentially a proxy for the lower level database. Provide new operators: unproxy, scalar, vector, value, values, total, and len which retrieve the proper result from the object they are called on. Move the ProxyGroup stuff (proxies of proxies!) here from the now gone proxy.py file and integrate the shared parts of the code. The ProxyGroup stuff allows you to write formulas without specifying the statistics until evaluation time. Get rid of global variables! util/stats/output.py: Move the dbinfo stuff into the Database itself. Each source should have it's own get() function for accessing it's data. This get() function behaves a bit differently than before in that it can return vectors as well, deal with these vectors and with no result conditions better. util/stats/stats.py: the info module no longer has the source global variable, just create the database source and pass it around as necessary --HG-- extra : convert_revision : 8e5aa228e5d3ae8068ef9c40f65b3a2f9e7c0cff
2005-10-18Improvements to the graphing outputNathan Binkert
util/stats/output.py: Create the graph directory if it doesn't exist Don't write out a graph if all of the jobs for that graph are missing --HG-- extra : convert_revision : 7993baf1a4be33a062f86a4f09791f01eaafa43c
2005-09-17Totally re-work the way that jobfiles are done so there is moreNathan Binkert
information that can be used for other aspects of sending jobs. New graphing output stuff with matplotlib. util/pbs/job.py: Shuffle code around and create the JobDir class which encapsulates all of the functionality needed for making, organizing, and cleaning a job directory. Better status output util/pbs/jobfile.py: Majory re-working of the jobfile code. A job file now consists of several objects that describe how jobs should be run, it includes information about checkpoints, and graphing. util/pbs/send.py: use the new jobfile code. deal with the 15 character limit of pbs by truncating the name and using the raj hack. util/stats/db.py: fix the __str__ function for nodes provide __getitem__ for the Database class util/stats/stats.py: use the jobfile stuff to figure out what the proper naming and organziation of the graphs should be. move all output code to output.py, get rid of ploticus and use matplotlib --HG-- rename : util/categories.py => util/stats/categories.py extra : convert_revision : 0d793cbf6ad9492290e8ec875ce001c84095e1f7