inputs/.TNRS/data.sql: refreshed

inputs/.TNRS/data.sql: refreshed

inputs/.TNRS/data.sql: refreshed

lib/tnrs.py: switched to downloading all matches per name, as is needed to implement #917. note that this will break the parts of the schema that use the tnrs table, until Brad's match-picking algorithm can be implemented, but this tradeoff is necessary to be able to begin scrubbing sooner (Martha; wiki.vegpath.org/2014-05-29_conference_call#TNRS)

schemas/vegbien.sql: tnrs_input_name: don't scrub accepted names, as using multiple matches per name no longer provides a single accepted name to scrub. instead, the Accepted_* fields can be whitespace-split to generate the same columns that would have been generated by the scrubbing (and without the overhead of the extra TNRS call).

inputs/.TNRS/schema.sql: tnrs: populate match_num

inputs/test_taxonomic_names/_scrub/*: updated to TNRS schema

inputs/input.Makefile: add: verify/: also svn:ignore *.log

fix: inputs/test_taxonomic_names/Taxon/map.csv: scientificName: remapped to scientificName instead of taxonName as this does include the author for some names

*{.sh,run}: runscript targets: use begin_target instead of echo_func so the target name is properly echoed. note that this requires using with_rm so that $rm is properly progagated to applicable invoked targets. (previously, $rm was progagated to all invoked targets. note that with_rm only works inside a runscript target that starts with begin_target.)