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Update the used module numpydb to diskcache
for stamp storage
#42
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A comment on numpyDB: the code is public in two places Maybe it makes sense to make |
Yes, judging by the last commit (esheldon/numpydb@5ccce22) and lack of versions in esheldon's repo, I would go with scitools copy. |
+1
El mar., 13 oct. 2020 a las 12:11, Martin Beroiz (<[email protected]>)
escribió:
… Yes, judging by the last commit ***@***.***
<esheldon/numpydb@5ccce22>)
and lack of versions in esheldon's repo, I would go with scitools copy.
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Juan B Cabral
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Mey be we can check what library is more used
El mar., 13 oct. 2020 a las 12:46, Juan BC (<[email protected]>)
escribió:
… +1
El mar., 13 oct. 2020 a las 12:11, Martin Beroiz (<
***@***.***>) escribió:
> Yes, judging by the last commit ***@***.***
> <esheldon/numpydb@5ccce22>)
> and lack of versions in esheldon's repo, I would go with scitools copy.
>
> —
> You are receiving this because you are subscribed to this thread.
> Reply to this email directly, view it on GitHub
> <#42 (comment)>,
> or unsubscribe
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Juan B Cabral
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Scitools is a big library and last commit is from 2016. I don't know if it supports Python > 2.6 esheldon's repo is only about NupyDB, latest commit is from 2019 and there is some extra functionality which I don't use. |
There is an implementation for a numpy array storage, that uses pickle.
This is critical so we don't keep in memory stamps of every star.
The current implementation though, requires the creation of files, which for many reasons can persist later as garbage in the local directory (see #11).
Using
diskcache
library could avoid such issue, and clean the base code of additional modules.The text was updated successfully, but these errors were encountered: