(I know it's not Friday [exp], and after personal apologies[apo])
Do you bother with exception handling for import statements?
Most of the code I read, both in books and during code review, eschews
any form of ImportError check. Even data science people who 'clean'
every data field towards inclusion/exclusion in the analysis, take for
granted that numpy, scipy, pandas, et al, will be available to their code.
Does such a check seem un-pythonic? [sto] (maybe 'forgiveness cf
permission'?)
Can we assume that if such a catastrophic error occurs, it is quite
acceptable for the code to fall-over in a tumbling-fumble?
Does it make a difference if operating in/out of a dev-ops environment?
Might such only occur once, because once the environment has been
correctly-built, it will/can *never* happen again?
Can we assume Built-in and PSL modules *must* be present, so we only
need to talk about covering in-house code and pip-ed (or similar) modules?
Is it more/less important in __main__ than in an imported module?
Do you handle each import separately, or all in a single try..except block?
Do you try to anticipate and cover every import in the system at the top
of __main__, eg imports inside imported modules?
What about OpSys-specific imports (etc)?
Do modules import-ed only in specific situations, deserve more, or less,
attention?
Refs:
[apo] Change of season coughs and sniffles, duly shared with the CO (oops!)
[exp] Explanation: in the Christian calendar, this Friday is "Good
Friday" and thus a national/public holiday in much of the western world.
Thus, also next ("Easter") Monday and possibly Tuesday. To continue the
theme: next Thursday is also a holiday in New Zealand and Australia
("ANZAC Day": equating to Veterans' Day, Memorial Day, Independence Day,
etc)
[imp] 5. The import system https://docs.python.org/3.6/reference/import.html
[sto] A somewhat similar question:
https://stackoverflow.com/questions/3131217/error-handling-when-importing-modules
--
Regards,
=dn
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