traits

Observable typed attributes for Python classes

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Maintainers

cwebster_enthought dickinsm enthought rporuri

Project description

http://docs.enthought.com/traits

The Traits project is at the center of all Enthought Tool Suite development and has changed the mental model used at Enthought for programming in the already extremely efficient Python programming language. We encourage everyone to join us in enjoying the productivity gains from using such a powerful approach.

The Traits project allows Python programmers to use a special kind of type definition called a trait, which gives object attributes some additional characteristics:

Initialization: A trait has a default value, which is automatically set as the initial value of an attribute before its first use in a program.
Validation: The type of a trait attribute is explicitly declared. The type is evident in the code, and only values that meet a programmer-specified set of criteria (i.e., the trait definition) can be assigned to that attribute.
Delegation: The value of a trait attribute can be contained either in the defining object or in another object delegated to by the trait.
Notification: Setting the value of a trait attribute can notify other parts of the program that the value has changed.
Visualization: User interfaces that allow a user to interactively modify the value of a trait attribute can be automatically constructed using the trait’s definition. (This feature requires that a supported GUI toolkit be installed. If this feature is not used, the Traits project does not otherwise require GUI support.)

A class can freely mix trait-based attributes with normal Python attributes, or can opt to allow the use of only a fixed or open set of trait attributes within the class. Trait attributes defined by a class are automatically inherited by any subclass derived from the class.

Dependencies

Traits requires Python >= 3.6.

Traits has the following optional dependencies:

NumPy to support the trait types for arrays.
TraitsUI to support GUI Views.

To build the full documentation one needs:

Sphinx version 2.1 or later.
The Enthought Sphinx Theme. (A version of the documentation can be built without this, but some formatting may be incorrect.)

Project details

These details have been verified by PyPI

Maintainers

cwebster_enthought dickinsm enthought rporuri

Release history Release notifications | RSS feed

6.4.3

Oct 9, 2023

6.4.2

Aug 7, 2023

This version

6.4.1

Aug 12, 2022

6.4.0

Aug 12, 2022

6.3.2

Nov 10, 2021

6.3.1

Oct 12, 2021

6.3.0

Oct 8, 2021

6.2.0

Jan 21, 2021

6.1.1

Jul 23, 2020

6.1.0

Jun 5, 2020

6.0.0

Feb 14, 2020

6.0.0rc0 pre-release

Jan 30, 2020

5.2.0

Nov 18, 2019

5.1.2

Jul 8, 2019

5.1.1

Apr 18, 2019

5.1.0

Apr 15, 2019

5.0.0

Jan 30, 2019

4.6.0

Nov 2, 2016

4.5.0

May 7, 2014

4.4.0

Dec 13, 2013

4.3.0

Mar 29, 2013

4.2.0

May 17, 2012

4.1.0

Dec 21, 2011

4.0.0

Jun 21, 2011

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traits 6.4.1

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Algorithm	Hash digest
SHA256	`d88fe3582061ef2ec2c795fd341f51693715bacab19b09b0f13f5fd028695a8e`
MD5	`6b4b0081c880e96473f1bfcff9978790`
BLAKE2b-256	`3ec5219154012cb6b0076c22b59edeaeae4aa495d9d6ab47cce2c871bd702987`

Algorithm	Hash digest
SHA256	`7655ce43d9a05ac2e39c55be1b543baf687a555319d4ddc18f3309bfdf9a9515`
MD5	`19108ae5ceb123d6edb4c99e9001d4d9`
BLAKE2b-256	`fe9663c20f0a7b50685656f9e54707fe8410c526d9f8fc485b833e8d145cd1ef`

Algorithm	Hash digest
SHA256	`a9aaaa9bbb7b601a22057bd53b6709aca5dd97c35688707a1d5c0784b9d775da`
MD5	`8f61736347efbcc1affec8cd028c0d31`
BLAKE2b-256	`230f4301dae2172c30a5ff226ec917d1188bf7767fc24ee4bd6419cfbd0b0bb5`

Algorithm	Hash digest
SHA256	`48001b26d7b2ae27f8eac6dd59fbaca89a60a93068ae1817b6f36fada3ecc0cf`
MD5	`e234a3ef8078b048c7a4013dbc0eeea0`
BLAKE2b-256	`f2c116f4088664b8f03d991ccc87ffffdccfdacd89b18be564e3fe53705945e1`

Algorithm	Hash digest
SHA256	`fbc30c181430d8522bfe761249e0369d9e12eb392fc6ed64f616e71554e4763e`
MD5	`34eaba552f5104d52ee8f7aeedf44ebc`
BLAKE2b-256	`77ee1fd88e01dd0315fa1a304e82dc3fab3165274ff401da63b1c6f42ca77252`

Algorithm	Hash digest
SHA256	`1055f9891727306c455bca60633ab82dd22c34aa34964a78b5bdf2f4c2c2ec61`
MD5	`d5265dc1865ac819d80b112ace5933e1`
BLAKE2b-256	`7eb69444d3724bb9de3b10879de1eb61206d5034fcbf9bfbc2a997ff02ae059f`

Algorithm	Hash digest
SHA256	`f366401a8da6a4ddca4686e1e2eb25492d154de93b58c0290b6363899b6ba937`
MD5	`8f3c476ce886d50a1d7332cea25d0a6d`
BLAKE2b-256	`a4b1867b8454467403acee31c5e329e156525363954e6eb767fc40b71e7f431a`

Algorithm	Hash digest
SHA256	`ff824c8191f9d1fde175d1dedd429b4a458681a40e1f1e7fa5b01f3602cc71fa`
MD5	`680a793fee4be6b0c79d584f64cd7d1b`
BLAKE2b-256	`09e60320b44518855d0c022dd808b0200c889bc3bf5bc8dd5abdbbde48a35cc3`

Algorithm	Hash digest
SHA256	`f7606aa01050e5830fa42d590da506a6c1bbdcbd045ed593882d0453a4d026ce`
MD5	`8e0867f3861e6263f78dd1f6433e0ed0`
BLAKE2b-256	`4bbc87d6f87b7897bf3fd209d58a8e5f1a0648dc31ff1371cee3996a6ef07104`

Algorithm	Hash digest
SHA256	`9b93acc90781c5fba352122a4ef41815378d3adf25e591f771f0a43e0e4e2b10`
MD5	`52aa4dfd90c3f91d8ecfe4c8fecebe88`
BLAKE2b-256	`ee39fc43e4e7e0f7d3fb75645ae4760608d475447444d9b6ee36daedb4eebe20`