EA_CONDITIONING(1)

NAME
ea_conditioning - Compute the entropy of a conditioning function

SYNOPSIS
ea_conditioning -v [-q] <n_in> <n_out> <nw> <h_in> [-o filename.json] ea_conditioning -n <n_in> <n_out> <nw> <h_in> [h' | -i filename] [-o filename.json]

DESCRIPTION

Compute the entropy of a conditioning function.

<n_in>: input number of bits to conditioning function.

<n_out>: output number of bits from conditioning function.

<nw>: narrowest internal width of conditioning function.

<h_in>: input entropy to conditioning function.

<-v|-n>: '-v' for vetted conditioning function, '-n' for non-vetted conditioning function. Vetted conditioning is the default. <h'>: entropy estimate per bit of conditioned sequential dataset (only for '-n' option).

-q: Quiet mode, less output to screen.

-i: Input file name, to run an entropy assessment on a non-vetted conditioned data file and use that value as h'.

    This program computes the entropy of the output of a conditioning function 'h_out' (Section 3.1.5). If the conditioning function is vetted, then

    h_out = Output_Entropy(n_in, n_out, nw, h_in)

    where 'Output_Entropy' is specified in Section 3.1.5.1.2. If the conditioning function is non-vetted then

    h_out = min(Output_Entropy(n_in, n_out, nw, h_in), 0.999*n_out, h'*n_out)

    as stated in Section 3.1.5.2.

-o: Set Output Type to JSON

    Changes the output format to JSON and sets the file location for the output file.

--version: Prints tool version information

COPYRIGHT

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