Update the used module numpydb to `diskcache` for stamp storage

[BrunoSanchez]

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.

[BrunoSanchez]

A comment on numpyDB: the code is public in two places

• https://github.com/hplgit/scitools
• https://github.com/esheldon/numpydb

Maybe it makes sense to make scitools a dependency, it is in PyPI and we could avoid mantaining numpyDB.

[martinberoiz]

Yes, judging by the last commit (https://github.com/esheldon/numpydb/commit/5ccce22913e4b745d21c4d68fb239c365e926bee) and lack of versions in esheldon's repo, I would go with scitools copy.

[leliel12]

+1

El mar., 13 oct. 2020 a las 12:11, Martin Beroiz (notifications@github.com) escribió:

Yes, judging by the last commit (esheldon/numpydb@5ccce22 https://github.com/esheldon/numpydb/commit/5ccce22913e4b745d21c4d68fb239c365e926bee) and lack of versions in esheldon's repo, I would go with scitools copy.

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[leliel12]

Mey be we can check what library is more used

El mar., 13 oct. 2020 a las 12:46, Juan BC (jbc.develop@gmail.com) escribió:

+1

El mar., 13 oct. 2020 a las 12:11, Martin Beroiz (< notifications@github.com>) escribió:

Yes, judging by the last commit (esheldon/numpydb@5ccce22 https://github.com/esheldon/numpydb/commit/5ccce22913e4b745d21c4d68fb239c365e926bee) 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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[BrunoSanchez]

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. However he mentions some seg fault in his latest commit.