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* add casesMartin Czygan2020-12-021-3/+27
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* note on next caseMartin Czygan2020-12-011-1/+4
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* verify: bsi undatedMartin Czygan2020-12-011-1/+5
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* update notesMartin Czygan2020-12-011-10/+16
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* update notesMartin Czygan2020-12-011-1/+9
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* add caseMartin Czygan2020-12-011-0/+12
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* update statsMartin Czygan2020-12-011-20/+20
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* update notesMartin Czygan2020-11-301-0/+21
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* update statsMartin Czygan2020-11-291-22/+21
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* update statsMartin Czygan2020-11-281-21/+21
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* update statsMartin Czygan2020-11-281-21/+21
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* update notesMartin Czygan2020-11-281-0/+29
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* note on cluster size distributionMartin Czygan2020-11-281-0/+24
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* subtitle: default to listMartin Czygan2020-11-271-0/+31
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* cleanupMartin Czygan2020-11-245-401/+0
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* cluster notesMartin Czygan2020-11-111-0/+19
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* README should not be notesMartin Czygan2020-11-051-0/+197
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* cleanup notesMartin Czygan2020-10-311-3/+0
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* update workflow notesMartin Czygan2020-10-311-0/+6
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* note on workflowMartin Czygan2020-10-311-3/+3
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* move around notesMartin Czygan2020-10-315-2258/+1
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* update notes on cluster, nbMartin Czygan2020-10-221-1/+47
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* update notes on clusteringMartin Czygan2020-10-221-0/+18
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* update cluster notesMartin Czygan2020-10-221-0/+27
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* notes: clusteringMartin Czygan2020-10-221-0/+11
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* cluster variantsMartin Czygan2020-10-211-0/+54
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* update various docs; start data issue logMartin Czygan2020-09-032-1/+1
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* add notes on abbrevsMartin Czygan2020-08-152-0/+2260
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* update planMartin Czygan2020-08-141-0/+5
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* note on optimization: marisa-trieMartin Czygan2020-08-121-0/+1
| | | | | | | | | | Currently, the JSON mapping is 172M, turning this into a dict takes a bit, plus consumes GBs of memory. For exact lookups, we might want to use marisa-trie: > String data in a MARISA-trie may take up to 50x-100x less memory than in a standard Python dict; the raw lookup speed is comparable; trie also provides fast advanced methods like prefix search.
* add notes/todoMartin Czygan2020-08-121-0/+17