marcothesane
2020-11-30 10:49:44
WITH
-- your input, thanks for pasting it in ..
indata(location,no,days) AS (
SELECT 'Callao',1,7
UNION ALL SELECT 'Callao',2,7
UNION ALL SELECT 'CHENNAI',3,6
UNION ALL SELECT 'SINGAPORE',4,30
UNION ALL SELECT 'SINGAPORE',5,7
UNION ALL SELECT 'SINGAPORE',6,7
UNION ALL SELECT 'LOS ANGELES',7,9
UNION ALL SELECT 'HONG KONG',7,11
UNION ALL SELECT 'HONG KONG',7,6
UNION ALL SELECT 'LOS ANGELES',8,6
UNION ALL SELECT 'HONG KONG',9,6
UNION ALL SELECT 'HONG KONG',9,4
UNION ALL SELECT 'LOS ANGELES',9,10
UNION ALL SELECT 'LOS ANGELES',9,9
UNION ALL SELECT 'LOS ANGELES',10,6
)
-- real query starts here, replace "," with "WITH" ..
,
w_filter AS (
SELECT
*
, ROW_NUMBER() OVER(PARTITION BY no ORDER BY days) AS fil
FROM indata
)
SELECT
location
, no
, days
FROM w_filter
WHERE fil=1
ORDER BY 2 ;
-- out location | no | days
-- out -------------+----+------
-- out Callao | 1 | 7
-- out Callao | 2 | 7
-- out CHENNAI | 3 | 6
-- out SINGAPORE | 4 | 30
-- out SINGAPORE | 5 | 7
-- out SINGAPORE | 6 | 7
-- out HONG KONG | 7 | 6
-- out LOS ANGELES | 8 | 6
-- out HONG KONG | 9 | 4
-- out LOS ANGELES | 10 | 6
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The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.
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Mamba is a new state space model architecture showing promising performance on information-dense data such as language modeling, where previous subquadratic models fall short of Transformers. It is based on the line of progress on structured state space models, with an efficient hardware-aware design and implementation in the spirit of FlashAttention.
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谢谢你的回复@marcothesane其工作