Log message:
Update textproc/miller to 2.2.0:

Multi-character RS,FS,PS

You can process CRLF-terminated DKVP files with mlr --dkvp --rs
crlf.
You can process LF-terminated CSV files with mlr --csv --rs lf.
You can process TSV using mlr --fs tab; you can convert TSV to CSV
using mlr --ifs tab --ofs comma.
Along with many more possibilities.
Please see mlr -h for more information.

There is one minor, backward-incompatible change which I felt not
worth calling this 3.0.0: default field separator for NIDX format
is now space, not comma.

Log message:
Update 2.1.1 to 2.1.3
---------------------
  ChangeLog is unknown.

Log message:
Update miller to 2.1.1.

Changes:

v2.1.1

Incremental read-performance increase for CSV format

While #51 is still underway, already there is nearly a 2x
read-performance increase in v2.1.1 over v2.1.0.

v2.1.0

Minor enhancements and bug fixes

Highlights: travis-CI integration (thanks @SikhNerd!); hour-minute-second
functions; fixed pretty-print alignment of UTF-8 data.

Log message:
Import miller-2.0.0 as textproc/miller.

Miller is like sed, awk, cut, join, and sort for name-indexed data
such as CSV.

With Miller, you get to use named fields without needing to count
positional indices.

This is something the Unix toolkit always could have done, and
arguably always should have done. It operates on key-value-pair
data while the familiar Unix tools operate on integer-indexed
fields: if the natural data structure for the latter is the array,
then Miller's natural data structure is the insertion-ordered hash
map. This encompasses a variety of data formats, including but not
limited to the familiar CSV. (Miller can handle positionally-indexed
data as a special case.)