schemas/vegbien.sql: taxonlabel_2_set_canon_label_id_on_*(): Fixed bug where need to use := instead of = to perform assignment of canon_label_id

schemas/tree_cross-links.sql: Updated for schema changes

schemas/vegbien.sql: taxonlabel_update_ancestors(): Include ancestors for both parent_id and matched_label_id rather than just one or the other. This avoids needing to delete existing ancestors for the parent_id when a matched_label_id is added and overrides it. This should reduce the TNRS import time if the slowdown was due to the need to delete parent_id ancestors when later adding a matched_label_id (which only occurs in a separate step in the TNRS datasource).

sql_io.py: put_table(): ensure_cond(): Fixed bug where test if any rows failed cond did not check if cur != None (which is the case when cond == sql_gen.true_expr) before checking cur.rowcount

sql_gen.py: simplify_expr(): Don't require () around NULL IS NULL and NULL IS NOT NULL because extra parentheses are not provided in index conditions, only in check constraint conditions

inputs/import.stats.xls: Updated import times. The TNRS import has slowed down significantly, possibly due to a bug in the autopopulation of the taxonlabel_relationship table when the input data contains cycles.

sql_io.py: put_table(): Assertion that into and full_in_table have the same row count: Allow into to have more rows than full_in_table, in case an input row matched multiple output rows. This should not happen for a properly-configured database, but seems to happen periodically nevertheless (currently, to the MO datasource) and should not abort the import when it does.

sql.py: parse_exception(): "could not create unique index" DuplicateKeyException: Fixed bug where can't use make_DuplicateKeyException() because it tries to retrieve information about the index in question, but the index it was trying to create doesn't exist

schemas/vegbien.sql: analytical_db_view: Renamed datasource's taxonverbatim to datasource_taxonverbatim to distinguish it from the other taxonverbatims that are joined on (parsed_taxonverbatim, accepted_taxonverbatim)

inputs/.NCBI/nodes/create.sql: Make genus (mostly) globally unique by removing kingdom Animalia, which has significant genus overlap with plants. This reduces the number of duplicated genera from 578 to 65 (determined with `SELECT name_txt, count(), array_agg(rank) FROM "NCBI".nodes GROUP BY name_txt HAVING count() > 1 AND 'genus' = ALL (array_agg(rank))`).