hdmf_common_nwb_language#
- pydantic model ConfiguredBaseModel#
Bases:
BaseModel
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
- Config:
validate_assignment: bool = True
validate_default: bool = True
extra: str = forbid
arbitrary_types_allowed: bool = True
use_enum_values: bool = True
- Fields:
- pydantic model LinkML_Meta#
Bases:
BaseModel
Extra LinkML Metadata stored as a class attribute
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
- Fields:
- pydantic model Arraylike#
Bases:
ConfiguredBaseModel
Container for arraylike information held in the dims, shape, and dtype properties.this is a special case to be interpreted by downstream i/o. this class has no slotsand is abstract by default.- Each slot within a subclass indicates a possible dimension.- Only dimensions that are present in all the dimension specifiers in the original schema are required.- Shape requirements are indicated using max/min cardinalities on the slot.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
__init__ uses __pydantic_self__ instead of the more common self for the first arg to allow self as a field name.
- Config:
validate_assignment: bool = True
validate_default: bool = True
extra: str = forbid
arbitrary_types_allowed: bool = True
use_enum_values: bool = True
- Fields:
- linkml_meta: ClassVar[LinkML_Meta] = FieldInfo(annotation=NoneType, required=False, default=LinkML_Meta(tree_root=False), frozen=True)#