Pleroslzcomplexity

CLI usage cheatsheet

Common commands · one sequence per text line

Prepare a file¶

Install the binaries, then put one symbolic sequence on each line:

printf '%s\n' \
  '00010111000101110001011100010111' \
  '00110011001100110011001100110011' \
  > sequences.txt

Measure h and E¶

lzcomplexity sequences.txt -F TXT \
  -m -l 2 -o results.json

Count and h only:

lzcomplexity sequences.txt -F TXT \
  -m -l 2 -n -o entropy.json

E up to range 16, with profile increments:

lzcomplexity sequences.txt -F TXT \
  -m -l 2 -e 16:f -o ranges.json

Save factors and distances¶

lzcomplexity sequences.txt -F TXT \
  -m -f factors.json -o results.json

Distances between consecutive sequences:

lzcomplexity sequences.txt -F TXT \
  -d -l 2 -o consecutive.json

Read them from lz76Distance.InformationDistance.

Compare collections¶

Every sequence against every sequence:

lzdistance sequences.txt -I TXT \
  -o distances.json

Rows from one file, columns from another:

lzdistance first.txt second.txt \
  -I TXT -S TXT -o between.json

One sequence per file, sorted by path:

lzdistance recordings/ -I TXT \
  -o recordings-distances.json

Read the information_distance matrix.

Common options¶

Option	Use
`-F TXT`	Analysis input format.
`-I TXT`, `-S TXT`	Distance input formats.
`-m`	Analyse all sequences.
`-l 2`	Base-two units.
`-e 16:f`	E range and increments.
`-j 4`	Four workers.
`-o output.json`	Output path.

Formats: TXT lines, CSV columns, FASTA records. Without -m, lzcomplexity reads the first sequence. lzdistance reads all sequences from a file.

Read results and get help¶

Analysis JSON field	Read as
`lz76Complexity`	Factor count.
`lz76EntropyDensity`	h.
`lz76RandomShuffleComplexity.value`	E.

lzcomplexity --help
lzdistance --help
lzcomplexity --version
lzdistance --version

Guides: lzcomplexity, lzdistance, input formats.