Revision 1484
Added by Aaron Marcuse-Kubitza almost 13 years ago
| map | ||
|---|---|---|
| 25 | 25 |
import xml_func |
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def get_with_prefix(map_, prefixes, key): |
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'''Gets all entries for the given key with any of the given prefixes''' |
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values = [] |
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for prefix in ['']+prefixes: # also lookup with no prefix |
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try: return map_[prefix+key] |
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except KeyError, e: pass # keep going |
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raise e # re-raise last KeyError |
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try: value = map_[prefix+key] |
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except KeyError, e: continue # keep going |
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values.append(value) |
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|
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if values != []: return values |
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else: raise e # re-raise last KeyError |
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def metadata_value(name): return None # this feature has been removed |
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|
| ... | ... | |
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i += 1 |
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|
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def get_value(in_, row): |
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try: return row.list[in_] |
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except IndexError: return None |
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return util.coalesce(*util.list_subset(row.list, in_)) |
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def wrap_row(row): |
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return util.ListDict(util.list_as_length(row, col_names_ct), |
| 191 | 195 |
col_names, col_idxs) # handle CSV rows of different lengths |
Also available in: Unified diff
bin/map: Deal with fields that may be in the dataset under more than one prefix by getting all fields and coalesce()ing them (e.g. SpeciesLink has dwcore* and darwin1* columns for the same DwC field)