meerkat.interactive.app.src.lib.component.flowbite.Span
meerkat.interactive.app.src.lib.component.flowbite.Span¶
- class Span(*, italic: bool = False, underline: bool = False, linethrough: bool = False, uppercase: bool = False, gradient: bool = False, highlight: bool = False, highlightClass: str = 'text-blue-600 dark:text-blue-500', decorationClass: str = 'decoration-2 decoration-blue-400 ', gradientClass: str = 'text-transparent bg-clip-text bg-gradient-to-r to-emerald-600 from-sky-400', **kwargs)[source]¶
- __init__(**kwargs)¶
Methods
__init__(**kwargs)append(other)construct([_fields_set])Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, ...])Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_id(id)from_orm(obj)get_components()json(*[, include, exclude, by_alias, ...])Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file(path, *[, content_type, ...])parse_obj(obj)parse_raw(b, *[, content_type, encoding, ...])prepend_meerkat_id_prefix(id)schema([by_alias, ref_template])schema_json(*[, by_alias, ref_template])update_forward_refs(**localns)Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)Attributes
aliascomponent_nameevent_nameseventsfrontendReturns a Pydantic model that can be should be sent to the frontend.
frontend_aliasididentifiable_grouplibrarynamespacepathprop_bindingsprop_namespropsslotsslottablevirtual_propsProps, and all events (as_*) as props.
wrapper_import_styleitalicunderlinelinethroughuppercasegradienthighlighthighlightClassdecorationClassdecoration-blue-600
gradientClass