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2015-11-04Add SHA512 digests for distfiles for textproc categoryagc1-1/+2
Problems found locating distfiles: Package cabocha: missing distfile cabocha-0.68.tar.bz2 Package convertlit: missing distfile clit18src.zip Package php-enchant: missing distfile php-enchant/enchant-1.1.0.tgz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
2015-09-21Update textproc/miller to 2.2.0:wiz2-6/+6
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.
2015-09-06Update 2.1.1 to 2.1.3mef2-6/+6
--------------------- ChangeLog is unknown.
2015-09-04Update miller to 2.1.1.wiz2-6/+8
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.
2015-08-28Import miller-2.0.0 as textproc/miller.wiz4-0/+40
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.)