Update jdb to 1.12 plus the patch for the problem with trailing spaces in

dbstats from Heidemann's web page.

Changes since 1.7 apart from bugfixes:

1.12,  30-Oct-02

- NEW: dbcolmultiscale
- NEW: dbcol has -r option for "relaxed error checking"
- NEW: dbcolneaten has new -e option to strip end-of-line spaces
- NEW: dbrow finally has a -v option to negate the test
- NEW: db_to_html_table: simple conversion to html tables
- NEW: dblib now has a function dblib_text2html() that will

1.11,  2-Nov-01

- NEW: dbcolneaten now supports "field specifiers" that
	allow some control over how wide columns should be
- OPTIMIZATION: dbsort now tries hard to be filesystem cache-friendly

1.10, 10-Apr-01

- NEW: dbstats now includes a -S option to optimize work on
	pre-sorted data (inspired by code contributed by Haobo Yu)

1.9,  6-Nov-00

- NEW: dbfilesplit, split a single input file into multiple output files.

1.8, 28-Jun-00

- NEW:  dbrowuniq now optionally checks for uniqueness only on certain fields
- NEW: dbrowsplituniq makes one pass through a file and splits it into
	separate files based on the given fields
- NEW:  converter for "crl" format network traces
- NEW:  anywhere you use arbitrary code (like dbroweval),
	_last_foo now maps to the last row's value for field _foo.
- OPTIMIZATION: comment processing slightly changed so that
	dbmultistats now is much faster on files with lots of comments.

1 files changed, 11 insertions, 9 deletions

diff --git a/databases/jdb/DESCR b/databases/jdb/DESCR
index 6bef375360b..f977254b3ae 100644
--- a/databases/jdb/DESCR
+++ b/databases/jdb/DESCR
@@ -1,10 +1,12 @@
-JDB is a package of commands for manipulating flat-ASCII databases from
-shell scripts.  JDB is useful to process medium amounts of data.  JDB is
-very good at doing things like:
+JDB is package of commands for manipulating flat-ASCII databases from
+shell scripts.  JDB is useful to process medium amounts of data (with
+very little data you'd do it by hand, with megabytes you might want a
+real database).  JDB is very good at doing things like:
 
- * extracting measurements from experimental output
- * re-examining data to address different hypotheses
- * joining data from different experiments
- * computing statistics on data (mean, confidence intervals, histograms,
-   correlations)
- * reformatting data for graphing programs
+	- extracting measurements from experimental output
+	- re-examining data to address different hypotheses
+        - joining data from different experiments
+	- eliminating/detecting outliers
+	- computing statistics on data (mean, confidence intervals,
+		correlations, histograms)
+	- reformatting data for graphing programs