semvec/pypi-packages huggingface dataset:
pyhull 2015.2.1
A Python wrapper to Qhull (http://www.qhull.org/) for the computation of the convex hull, Delaunay triangulation and Voronoi diagram
License: MIT
Keywords: qhull,convex,hull,computational,geometry,delaunay,triangulation,voronoi,diagram


Pyhull is a Python wrapper to Qhull (http://www.qhull.org/) for the
computation of the convex hull, Delaunay triangulation and Voronoi diagram.
It is written as a Python C extension, with both high-level and low-level
interfaces to qhull.

Pyhull has been tested to scale to 10,000 7D points for convex hull
calculations (results in ~ 10 seconds), and 10,000 6D points for Delaunay
triangulations and Voronoi tesselations (~ 100 seconds). Higher number of
points and higher dimensions should be accessible depending on your machine,
but may take a significant amount of time.

For more details or to report bugs, please visit the pyhull GitHub page at
https://github.com/materialsvirtuallab/pyhull or the documentation page at
http://packages.python.org/pyhull/.
pickleshare 0.7.5
Tiny 'shelve'-like database with concurrency support
License: MIT
Keywords: database persistence pickle ipc shelve

PickleShare - a small 'shelve' like datastore with concurrency support

Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in 
database is immediately visible to other processes accessing the same database.

Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.

Example usage::

    from pickleshare import *
    db = PickleShareDB('~/testpickleshare')
    db.clear()
    print("Should be empty:",db.items())
    db['hello'] = 15
    db['aku ankka'] = [1,2,313]
    db['paths/are/ok/key'] = [1,(5,46)]
    print(db.keys())

This module is certainly not ZODB, but can be used for low-load
(non-mission-critical) situations where tiny code size trumps the 
advanced features of a "real" object database.

Installation guide: pip install pickleshare