hdmf_common_sparse#
- 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 CSRMatrix#
Bases:
Container
A compressed sparse row matrix. Data are stored in the standard CSR format, where column indices for row i are stored in indices[indptr[i]:indptr[i+1]] and their corresponding values are stored in data[indptr[i]:indptr[i+1]].
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 shape: int | None = None#
The shape (number of rows, number of columns) of this sparse matrix.
- linkml_meta: ClassVar[LinkML_Meta] = FieldInfo(annotation=NoneType, required=False, default=LinkML_Meta(tree_root=True), frozen=True)#