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Metadata-Version: 2.1
Name: traitlets
Version: 5.2.1.post0
Project-URL: Homepage, https://github.com/ipython/traitlets
Author-email: IPython Development Team <ipython-dev@python.org>
License: # Licensing terms
        
        Traitlets is adapted from enthought.traits, Copyright (c) Enthought, Inc.,
        under the terms of the Modified BSD License.
        
        This project is licensed under the terms of the Modified BSD License
        (also known as New or Revised or 3-Clause BSD), as follows:
        
        - Copyright (c) 2001-, IPython Development Team
        
        All rights reserved.
        
        Redistribution and use in source and binary forms, with or without
        modification, are permitted provided that the following conditions are met:
        
        Redistributions of source code must retain the above copyright notice, this
        list of conditions and the following disclaimer.
        
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        Neither the name of the IPython Development Team nor the names of its
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        ## About the IPython Development Team
        
        The IPython Development Team is the set of all contributors to the IPython project.
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        The core team that coordinates development on GitHub can be found here:
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            # Copyright (c) IPython Development Team.
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Keywords: Interactive,Interpreter,Shell,Web
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Provides-Extra: test
Requires-Dist: pre-commit; extra == 'test'
Requires-Dist: pytest; extra == 'test'
Description-Content-Type: text/markdown

# Traitlets

[![Tests](https://github.com/ipython/traitlets/actions/workflows/tests.yml/badge.svg)](https://github.com/ipython/traitlets/actions/workflows/tests.yml)
[![Test downstream projects](https://github.com/ipython/traitlets/actions/workflows/downstream.yml/badge.svg)](https://github.com/ipython/traitlets/actions/workflows/downstream.yml)
[![Documentation Status](https://readthedocs.org/projects/traitlets/badge/?version=latest)](https://traitlets.readthedocs.io/en/latest/?badge=latest)

|               |                                      |
| ------------- | ------------------------------------ |
| **home**      | https://github.com/ipython/traitlets |
| **pypi-repo** | https://pypi.org/project/traitlets/  |
| **docs**      | https://traitlets.readthedocs.io/    |
| **license**   | Modified BSD License                 |

Traitlets is a pure Python library enabling:

- the enforcement of strong typing for attributes of Python objects
  (typed attributes are called _"traits"_);
- dynamically calculated default values;
- automatic validation and coercion of trait attributes when attempting a
  change;
- registering for receiving notifications when trait values change;
- reading configuring values from files or from command line
  arguments - a distinct layer on top of traitlets, so you may use
  traitlets without the configuration machinery.

Its implementation relies on the [descriptor](https://docs.python.org/howto/descriptor.html)
pattern, and it is a lightweight pure-python alternative of the
[_traits_ library](https://docs.enthought.com/traits/).

Traitlets powers the configuration system of IPython and Jupyter
and the declarative API of IPython interactive widgets.

## Installation

For a local installation, make sure you have
[pip installed](https://pip.pypa.io/en/stable/installing/) and run:

```bash
pip install traitlets
```

For a **development installation**, clone this repository, change into the
`traitlets` root directory, and run pip:

```bash
git clone https://github.com/ipython/traitlets.git
cd traitlets
pip install -e .
```

## Running the tests

```bash
pip install "traitlets[test]"
py.test traitlets
```

## Code Styling

`traitlets` has adopted automatic code formatting so you shouldn't
need to worry too much about your code style.
As long as your code is valid,
the pre-commit hook should take care of how it should look.

To install `pre-commit` locally, run the following::

    pip install pre-commit
    pre-commit install

You can invoke the pre-commit hook by hand at any time with::

    pre-commit run

which should run any autoformatting on your code
and tell you about any errors it couldn't fix automatically.
You may also install [black integration](https://github.com/psf/black#editor-integration)
into your text editor to format code automatically.

If you have already committed files before setting up the pre-commit
hook with `pre-commit install`, you can fix everything up using
`pre-commit run --all-files`. You need to make the fixing commit
yourself after that.

Some of the hooks only run on CI by default, but you can invoke them by
running with the `--hook-stage manual` argument.

## Usage

Any class with trait attributes must inherit from `HasTraits`.
For the list of available trait types and their properties, see the
[Trait Types](https://traitlets.readthedocs.io/en/latest/trait_types.html)
section of the documentation.

### Dynamic default values

To calculate a default value dynamically, decorate a method of your class with
`@default({traitname})`. This method will be called on the instance, and
should return the default value. In this example, the `_username_default`
method is decorated with `@default('username')`:

```Python
import getpass
from traitlets import HasTraits, Unicode, default

class Identity(HasTraits):
    username = Unicode()

    @default('username')
    def _username_default(self):
        return getpass.getuser()
```

### Callbacks when a trait attribute changes

When a trait changes, an application can follow this trait change with
additional actions.

To do something when a trait attribute is changed, decorate a method with
[`traitlets.observe()`](https://traitlets.readthedocs.io/en/latest/api.html?highlight=observe#traitlets.observe).
The method will be called with a single argument, a dictionary which contains
an owner, new value, old value, name of the changed trait, and the event type.

In this example, the `_num_changed` method is decorated with `` @observe(`num`) ``:

```Python
from traitlets import HasTraits, Integer, observe

class TraitletsExample(HasTraits):
    num = Integer(5, help="a number").tag(config=True)

    @observe('num')
    def _num_changed(self, change):
        print("{name} changed from {old} to {new}".format(**change))
```

and is passed the following dictionary when called:

```Python
{
  'owner': object,  # The HasTraits instance
  'new': 6,         # The new value
  'old': 5,         # The old value
  'name': "foo",    # The name of the changed trait
  'type': 'change', # The event type of the notification, usually 'change'
}
```

### Validation and coercion

Each trait type (`Int`, `Unicode`, `Dict` etc.) may have its own validation or
coercion logic. In addition, we can register custom cross-validators
that may depend on the state of other attributes. For example:

```Python
from traitlets import HasTraits, TraitError, Int, Bool, validate

class Parity(HasTraits):
    value = Int()
    parity = Int()

    @validate('value')
    def _valid_value(self, proposal):
        if proposal['value'] % 2 != self.parity:
            raise TraitError('value and parity should be consistent')
        return proposal['value']

    @validate('parity')
    def _valid_parity(self, proposal):
        parity = proposal['value']
        if parity not in [0, 1]:
            raise TraitError('parity should be 0 or 1')
        if self.value % 2 != parity:
            raise TraitError('value and parity should be consistent')
        return proposal['value']

parity_check = Parity(value=2)

# Changing required parity and value together while holding cross validation
with parity_check.hold_trait_notifications():
    parity_check.value = 1
    parity_check.parity = 1
```

However, we **recommend** that custom cross-validators don't modify the state
of the HasTraits instance.

### Release build:

Releases should be automatically build and pushed to Pypi when a tag is marked and pushed to GitHub.

```bash
$ pip install build
$ python -m build .
```