Demo: multi-file histograms#279
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This commit prepares for calculating histograms from multiple data files by making histogram_t objects summable. For this purpose, histogram_t componnets now include bin count and cardinality. This commit replaces the bin_frequency_ component with a bin_frequency() function that calculates frequency by dividing the count by the cardinality.
This commit further prepares for computing aggregate histograms from multi-file data by adding a histrogram_t user-defined structure constructor that accepts a predefined range. Doing so will allow for using global extrema to define one range across all files.
Usage: ./build/run-fpm.sh run tensor-statistics -- --bins <integer> \ [--disaggregate] [--unified] [--start <integer>] [--end <integer>] [--stride <integer>] where angular brackets (<>) denote user-provided values, square brackets denote optional arguments, and flags have the following meanings: --bins number of histogram bins in which to collect variable values --disaggregate generates one histogram plot file per variable per training-data file --end last time step --start first time step --stride interval between time steps --unified maps all domains to [0,1] on one histogram plot per training-data file
Usage: ./build/run-fpm.sh run tensor-statistics -- --bins <integer> [[--disaggregate] | [--unified]] where angular brackets (<>) denote user-provided values, square brackets ([]) denote optional arguments, a pipe (|) separates exclusive alternatives, and flags have the following meanings: --bins number of histogram bins in which to collect variable values --disaggregate generates one histogram plot file per variable per training-data file --unified maps all domains to [0,1] on one histogram plot per training-data file
This commit tests behavior of the histogram_t constructor when the first actual argument is one or more bracketed arrays such as [v] or [u,v,w], where u, v, and w are each a multidimensional array.
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