nwb-linkml/nwb_linkml/schema/hdmf-common.table.yaml
sneakers-the-rat 4faaa8efe8 I believe that's a full translation
or at least all the semantics are present. it's not pretty by any stretch of the imagination
2023-08-25 00:22:47 -07:00

209 lines
8.2 KiB
YAML

name: hdmf-common.table
id: hdmf-common.table
imports:
- hdmf-common.base
- nwb.language
default_prefix: hdmf-common.table/
classes:
VectorData:
name: VectorData
description: An n-dimensional dataset representing a column of a DynamicTable.
If used without an accompanying VectorIndex, first dimension is along the rows
of the DynamicTable and each step along the first dimension is a cell of the
larger table. VectorData can also be used to represent a ragged array if paired
with a VectorIndex. This allows for storing arrays of varying length in a single
cell of the DynamicTable by indexing into this VectorData. The first vector
is at VectorData[0:VectorIndex[0]]. The second vector is at VectorData[VectorIndex[0]:VectorIndex[1]],
and so on.
is_a: Data
attributes:
description:
name: description
description: Description of what these vectors represent.
range: text
array:
name: array
range: VectorData_Array
VectorData_Array:
name: VectorData_Array
is_a: Arraylike
attributes:
dim0:
name: dim0
range: AnyType
required: true
dim1:
name: dim1
range: AnyType
required: false
dim2:
name: dim2
range: AnyType
required: false
dim3:
name: dim3
range: AnyType
required: false
VectorIndex:
name: VectorIndex
description: Used with VectorData to encode a ragged array. An array of indices
into the first dimension of the target VectorData, and forming a map between
the rows of a DynamicTable and the indices of the VectorData. The name of the
VectorIndex is expected to be the name of the target VectorData object followed
by "_index".
is_a: VectorData
attributes:
target:
name: target
description: Reference to the target dataset that this index applies to.
range: VectorData
array:
name: array
range: VectorIndex_Array
VectorIndex_Array:
name: VectorIndex_Array
is_a: Arraylike
attributes:
num_rows:
name: num_rows
range: uint8
required: true
ElementIdentifiers:
name: ElementIdentifiers
description: A list of unique identifiers for values within a dataset, e.g. rows
of a DynamicTable.
is_a: Data
attributes:
array:
name: array
range: ElementIdentifiers_Array
ElementIdentifiers_Array:
name: ElementIdentifiers_Array
is_a: Arraylike
attributes:
num_elements:
name: num_elements
range: int
required: true
DynamicTableRegion:
name: DynamicTableRegion
description: DynamicTableRegion provides a link from one table to an index or
region of another. The `table` attribute is a link to another `DynamicTable`,
indicating which table is referenced, and the data is int(s) indicating the
row(s) (0-indexed) of the target array. `DynamicTableRegion`s can be used to
associate rows with repeated meta-data without data duplication. They can also
be used to create hierarchical relationships between multiple `DynamicTable`s.
`DynamicTableRegion` objects may be paired with a `VectorIndex` object to create
ragged references, so a single cell of a `DynamicTable` can reference many rows
of another `DynamicTable`.
is_a: VectorData
attributes:
table:
name: table
description: Reference to the DynamicTable object that this region applies
to.
range: DynamicTable
description:
name: description
description: Description of what this table region points to.
range: text
array:
name: array
range: DynamicTableRegion_Array
DynamicTableRegion_Array:
name: DynamicTableRegion_Array
is_a: Arraylike
attributes:
num_rows:
name: num_rows
range: int
required: true
DynamicTable:
name: DynamicTable
description: A group containing multiple datasets that are aligned on the first
dimension (Currently, this requirement if left up to APIs to check and enforce).
These datasets represent different columns in the table. Apart from a column
that contains unique identifiers for each row, there are no other required datasets.
Users are free to add any number of custom VectorData objects (columns) here.
DynamicTable also supports ragged array columns, where each element can be of
a different size. To add a ragged array column, use a VectorIndex type to index
the corresponding VectorData type. See documentation for VectorData and VectorIndex
for more details. Unlike a compound data type, which is analogous to storing
an array-of-structs, a DynamicTable can be thought of as a struct-of-arrays.
This provides an alternative structure to choose from when optimizing storage
for anticipated access patterns. Additionally, this type provides a way of creating
a table without having to define a compound type up front. Although this convenience
may be attractive, users should think carefully about how data will be accessed.
DynamicTable is more appropriate for column-centric access, whereas a dataset
with a compound type would be more appropriate for row-centric access. Finally,
data size should also be taken into account. For small tables, performance loss
may be an acceptable trade-off for the flexibility of a DynamicTable.
is_a: Container
attributes:
colnames:
name: colnames
description: The names of the columns in this table. This should be used to
specify an order to the columns.
range: text
description:
name: description
description: Description of what is in this dynamic table.
range: text
id:
name: id
description: Array of unique identifiers for the rows of this dynamic table.
multivalued: false
range: DynamicTable_id
required: true
VectorData:
name: VectorData
description: Vector columns, including index columns, of this dynamic table.
multivalued: true
range: VectorData
required: false
DynamicTable_id:
name: DynamicTable_id
description: Array of unique identifiers for the rows of this dynamic table.
is_a: ElementIdentifiers
attributes:
array:
name: array
range: DynamicTable_id_Array
DynamicTable_id_Array:
name: DynamicTable_id_Array
is_a: Arraylike
attributes:
num_rows:
name: num_rows
range: int
required: true
AlignedDynamicTable:
name: AlignedDynamicTable
description: DynamicTable container that supports storing a collection of sub-tables.
Each sub-table is a DynamicTable itself that is aligned with the main table
by row index. I.e., all DynamicTables stored in this group MUST have the same
number of rows. This type effectively defines a 2-level table in which the main
data is stored in the main table implemented by this type and additional columns
of the table are grouped into categories, with each category being represented
by a separate DynamicTable stored within the group.
is_a: DynamicTable
attributes:
categories:
name: categories
description: The names of the categories in this AlignedDynamicTable. Each
category is represented by one DynamicTable stored in the parent group.
This attribute should be used to specify an order of categories and the
category names must match the names of the corresponding DynamicTable in
the group.
range: text
DynamicTable:
name: DynamicTable
description: A DynamicTable representing a particular category for columns
in the AlignedDynamicTable parent container. The table MUST be aligned with
(i.e., have the same number of rows) as all other DynamicTables stored in
the AlignedDynamicTable parent container. The name of the category is given
by the name of the DynamicTable and its description by the description attribute
of the DynamicTable.
multivalued: true
range: DynamicTable
required: false