core_nwb_epoch#
- 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 TimeIntervals#
Bases:
DynamicTable
A container for aggregating epoch data and the TimeSeries that each epoch applies to.
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:
- field colnames: str | None = None#
The names of the columns in this table. This should be used to specify an order to the columns.
- field tags_index: TimeIntervalsTagsIndex | None = None#
Index for tags.
- field timeseries_index: TimeIntervalsTimeseriesIndex | None = None#
Index for timeseries.
- field vector_data: List[VectorData] | None [Optional]#
Vector columns, including index columns, of this dynamic table.
- linkml_meta: ClassVar[LinkML_Meta] = FieldInfo(annotation=NoneType, required=False, default=LinkML_Meta(tree_root=True), frozen=True)#
- pydantic model TimeIntervalsTagsIndex#
Bases:
VectorIndex
Index for tags.
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:
- field array: NDArray[Shape['* dim0'], Any] | NDArray[Shape['* dim0, * dim1'], Any] | NDArray[Shape['* dim0, * dim1, * dim2'], Any] | NDArray[Shape['* dim0, * dim1, * dim2, * dim3'], Any] | None = None#
- field name: Literal['tags_index'] = 'tags_index'#
- field target: VectorData | None = None#
Reference to the target dataset that this index applies to.
- linkml_meta: ClassVar[LinkML_Meta] = FieldInfo(annotation=NoneType, required=False, default=LinkML_Meta(tree_root=False), frozen=True)#
- pydantic model TimeIntervalsTimeseriesIndex#
Bases:
VectorIndex
Index for timeseries.
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:
- field array: NDArray[Shape['* dim0'], Any] | NDArray[Shape['* dim0, * dim1'], Any] | NDArray[Shape['* dim0, * dim1, * dim2'], Any] | NDArray[Shape['* dim0, * dim1, * dim2, * dim3'], Any] | None = None#
- field name: Literal['timeseries_index'] = 'timeseries_index'#
- field target: VectorData | None = None#
Reference to the target dataset that this index applies to.
- linkml_meta: ClassVar[LinkML_Meta] = FieldInfo(annotation=NoneType, required=False, default=LinkML_Meta(tree_root=False), frozen=True)#