Occurrence of search term weighted by field (name, summary, keywords,
description, author, maintainer)
I thought PyPI used to offer a 'kwality' score for packages, based on
the presence of installers, doc files, tests etc. Does anyone know
what happened to that?
There was indeed a kwalitee
Martin v. Loewis mar...@v.loewis.de wrote:
There was indeed a kwalitee computation (cheesecake); it is unmaintained.
Ah yes, I couldn't remember the particular mispelling the project
used :)
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Hi - Anyone know how the score offered by Pypi is derived ?
For instance in ...
http://pypi.python.org/pypi?%3Aaction=searchterm=spamsubmit=search
... 'bud.nospam 1.0.1' has a score of 9 but 'pydspam 1.1.9' has a
score of 7.
Where are those numbers from and what do they mean ?
Thanks
R.
shearichard shearich...@gmail.com writes:
Hi - Anyone know how the score offered by Pypi is derived ?
Specifically, the score offered in response to a search query.
For instance in ...
http://pypi.python.org/pypi?%3Aaction=searchterm=spamsubmit=search
... 'bud.nospam 1.0.1' has a score of
On Nov 25, 3:54 pm, Ben Finney ben+pyt...@benfinney.id.au wrote:
shearichard shearich...@gmail.com writes:
Hi - Anyone know how the score offered by Pypi is derived ?
Specifically, the score offered in response to a search query.
For instance in ...
On Nov 25, 11:57 am, shearichard shearich...@gmail.com wrote:
Hi - Anyone know how the score offered by Pypi is derived ?
For instance in ...
http://pypi.python.org/pypi?%3Aaction=searchterm=spamsubmit=search
... 'bud.nospam 1.0.1' has a score of 9 but 'pydspam 1.1.9' has a
score of 7.
