The traitlets library is a library in the IPython and Jupyter projects. It provides a trait system for defining and manipulating configuration items.
Trait is an object that can describe parameters and has the following characteristics:
- Validation: When setting a trait value, it will validate whether the value conforms to the constraints.
- Alerts: Listeners are notified when trait values are changed.
- Default values: Traits can define default values.
- Docstring: The Trait object has a docstring, which can record the description information of the configuration item.
traitlets defines several types of Traits:
- any: any value
- integer/float: Integer and float
- bool: Boolean value
- enumeration: sheet
- etc.
IPython/Jupyter implements a configuration system via traitlets:
- Define configuration items (Traits)
- Set/read the value of a configuration item
- Get the docstring of a configuration item
- Monitor configuration item value changes
- Dynamically modify the constraints of configuration items
The main advantages of traitlets are:
- Effective verification and monitoring mechanism
- Support defaults and documentation
- Easy to extend to define new trait types
Traitlets encapsulate the general concept of trait and provide an object-oriented configuration system.
IPython/Jupyter uses traitlets to provide an easy-to-use configuration API.
The traitlets library is a library in the IPython and Jupyter projects. It provides a trait system for defining and manipulating configuration items.
Trait is an object that can describe parameters and has the following characteristics:
- Validation: When setting a trait value, it will validate whether the value conforms to the constraints.
- Alerts: Listeners are notified when trait values are changed.
- Default values: Traits can define default values.
- Docstrings: Trait objects have docstrings, which can be