found it here:
https://github.com/allegroai/trains/blob/98ea965e6d0a39019b31e5fec146ab55da0d52e8/trains/storage/manager.py#L41

I mean usually it would read if cached_file: return cached_file

I assume here:
https://github.com/allegroai/trains/blob/04b3fa809bb73d7101d1995327684ebe5b2911e3/trains/storage/cache.py#L47

I might, I'll look at the internals later cause at a glance I didn't really get the logic inside get_local_copy ... the if there is ending with if ... not cached_file: return cached_file which from reading doesn't make much sense

Do you want to PR it? should be a quick fix

Legit, if you have a cached_file (i.e. exists and accessible), you can return it to the caller

In the larger context I'd look on how other object stores treat similar problems, I'm not that advanced in these topics.

But adding a simple force_download flag to the get_local_copy method could solve many cases I can think of, for example I'd set it to true in my case as I don't mind the times it will re-download when not necessary as it is quite small (currently I always delete the local file, but it looks pretty ugly)

But adding a simple 

force_download

 flag to the 

get_local_copy

That's sounds like a good idea

-_- why there isn't a link to source on the docs?

Legit, if you have a cached_file (i.e. exists and accessible), you can return it to the caller

I agree, so shouldn't it be if cached_file: return cached_file instead of if not cached_file: return cached_file

are you referring to the same line? 47 in cache.py?

Well I guess you can say this is definitely not self explanatory line 😉
but, it is actually asking whether we should extract the code, think of it as:
if extract_archive and cached_file: return cls._extract_to_cache(cached_file, name)

nope - I'm talking about here

https://github.com/allegroai/trains/blob/98ea965e6d0a39019b31e5fec146ab55da0d52e8/trains/storage/manager.py#L41

👍

We should probably change it so it is more human readable 🙂

WackyRabbit7
Long story short, yes, only by name (hashing might be too slow on large files)
The easiest solution, if the hash is incorrect, delete the local copy it returns, and ask again, it will download it.
I'm not sure if the hashing is exposed, but if it is not, we can add it.
What do you think?

link to the line please 🙂

BTW is the if not cached_file: return cached_file is legit or a bug?

😄

That is actually what you are looking for:
https://github.com/allegroai/trains/blob/04b3fa809bb73d7101d1995327684ebe5b2911e3/trains/storage/cache.py#L46