Skip to main content

A mechanism for maintaining consistency betweeninter-dependant values with caching and lazy evaluation.

Project description

News

Cellulose 0.2 has a few backwards-incompatible changes. Check the README for more information.

Changelog from 0.1.2 to 0.2:

* All tests pass with Python 2.5.
* ComputedCell is now thread safe.
* ComputedDict is now a little more friendly for subclassing.
* The 'restrictions' functionality has been moved into it's own set of classes.
* InputCellDescriptor will now take a default value.
* Cell descriptors in general are easier to subclass.
* DependantCell.dependency_changed now takes the dependency as an argument.

Sales Pitch (only I’m no salesman)

Cellulose provides a mechanism for maintaining consistency between inter-dependant values with caching and lazy evaluation.

You can think of it like a spreadsheet program – Many cells are are calculated from the values of other cells. When one cell changes, all of the dependant cells get updated with new values.

However, cellulose goes quite a ways beyond this. It guarantees that when a value is read, it is consistant with all the values it depends on. It also is lazy (read: efficient.) Calculating a value is put off till the very last possible moment, and only recalculated when absolutely needed.

Dependency discovery and cache invalidation are fully transparent and automatic. This greatly reduces a major source of bugs in software.

A goal of the project is to be as simple as possible, (but no simpler,) so that anyone wanting to seriously use it could easily understand the internals.

Cellulose is similar in purpose to PyCells, but is in a way ‘lower level’. It tries real hard to stay out of your way, but, as a result, lacks some of the helpers that PyCells provides. The most essential algorithmic difference is probably that Cellulose desperately wants to be lazy, while in PyCells everything is calculated immediately (by default.) (On the flipside of this, observers in PyCells are quite a bit easier to work with.)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Cellulose-0.2.tar.gz (28.6 kB view details)

Uploaded Source

Built Distribution

Cellulose-0.2-py2.5.egg (43.8 kB view details)

Uploaded Source

File details

Details for the file Cellulose-0.2.tar.gz.

File metadata

  • Download URL: Cellulose-0.2.tar.gz
  • Upload date:
  • Size: 28.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Cellulose-0.2.tar.gz
Algorithm Hash digest
SHA256 aa3b28e0204e7b8873b5762a45952166abdb36d1b90847f57d6e5b96e3b7a6ff
MD5 fc62bc2867fc20832b2d75e63cfd5434
BLAKE2b-256 69a8c82b410058c64627cd5ec4c18ab64dd3bf7c8ac304b9b83815ac35bdda9e

See more details on using hashes here.

File details

Details for the file Cellulose-0.2-py2.5.egg.

File metadata

  • Download URL: Cellulose-0.2-py2.5.egg
  • Upload date:
  • Size: 43.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for Cellulose-0.2-py2.5.egg
Algorithm Hash digest
SHA256 3df73c8d8927df0ee7e0c7e692d3cfd174b4578368723f3e27d8693eee462789
MD5 bc5c4088e0e3f993a32c0c82829f6013
BLAKE2b-256 ebbc9e2befdce91231d214d7431737b5c56868092df4c9c277a60926a0c6a28e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page