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sneakers-the-rat
4faaa8efe8
or at least all the semantics are present. it's not pretty by any stretch of the imagination
209 lines
8.2 KiB
YAML
209 lines
8.2 KiB
YAML
name: hdmf-common.table
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id: hdmf-common.table
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imports:
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- hdmf-common.base
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- nwb.language
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default_prefix: hdmf-common.table/
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classes:
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VectorData:
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name: VectorData
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description: An n-dimensional dataset representing a column of a DynamicTable.
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If used without an accompanying VectorIndex, first dimension is along the rows
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of the DynamicTable and each step along the first dimension is a cell of the
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larger table. VectorData can also be used to represent a ragged array if paired
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with a VectorIndex. This allows for storing arrays of varying length in a single
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cell of the DynamicTable by indexing into this VectorData. The first vector
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is at VectorData[0:VectorIndex[0]]. The second vector is at VectorData[VectorIndex[0]:VectorIndex[1]],
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and so on.
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is_a: Data
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attributes:
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description:
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name: description
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description: Description of what these vectors represent.
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range: text
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array:
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name: array
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range: VectorData_Array
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VectorData_Array:
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name: VectorData_Array
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is_a: Arraylike
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attributes:
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dim0:
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name: dim0
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range: AnyType
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required: true
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dim1:
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name: dim1
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range: AnyType
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required: false
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dim2:
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name: dim2
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range: AnyType
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required: false
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dim3:
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name: dim3
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range: AnyType
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required: false
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VectorIndex:
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name: VectorIndex
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description: Used with VectorData to encode a ragged array. An array of indices
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into the first dimension of the target VectorData, and forming a map between
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the rows of a DynamicTable and the indices of the VectorData. The name of the
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VectorIndex is expected to be the name of the target VectorData object followed
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by "_index".
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is_a: VectorData
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attributes:
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target:
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name: target
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description: Reference to the target dataset that this index applies to.
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range: VectorData
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array:
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name: array
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range: VectorIndex_Array
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VectorIndex_Array:
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name: VectorIndex_Array
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is_a: Arraylike
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attributes:
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num_rows:
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name: num_rows
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range: uint8
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required: true
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ElementIdentifiers:
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name: ElementIdentifiers
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description: A list of unique identifiers for values within a dataset, e.g. rows
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of a DynamicTable.
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is_a: Data
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attributes:
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array:
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name: array
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range: ElementIdentifiers_Array
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ElementIdentifiers_Array:
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name: ElementIdentifiers_Array
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is_a: Arraylike
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attributes:
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num_elements:
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name: num_elements
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range: int
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required: true
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DynamicTableRegion:
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name: DynamicTableRegion
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description: DynamicTableRegion provides a link from one table to an index or
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region of another. The `table` attribute is a link to another `DynamicTable`,
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indicating which table is referenced, and the data is int(s) indicating the
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row(s) (0-indexed) of the target array. `DynamicTableRegion`s can be used to
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associate rows with repeated meta-data without data duplication. They can also
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be used to create hierarchical relationships between multiple `DynamicTable`s.
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`DynamicTableRegion` objects may be paired with a `VectorIndex` object to create
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ragged references, so a single cell of a `DynamicTable` can reference many rows
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of another `DynamicTable`.
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is_a: VectorData
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attributes:
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table:
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name: table
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description: Reference to the DynamicTable object that this region applies
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to.
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range: DynamicTable
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description:
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name: description
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description: Description of what this table region points to.
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range: text
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array:
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name: array
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range: DynamicTableRegion_Array
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DynamicTableRegion_Array:
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name: DynamicTableRegion_Array
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is_a: Arraylike
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attributes:
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num_rows:
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name: num_rows
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range: int
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required: true
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DynamicTable:
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name: DynamicTable
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description: A group containing multiple datasets that are aligned on the first
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dimension (Currently, this requirement if left up to APIs to check and enforce).
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These datasets represent different columns in the table. Apart from a column
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that contains unique identifiers for each row, there are no other required datasets.
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Users are free to add any number of custom VectorData objects (columns) here.
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DynamicTable also supports ragged array columns, where each element can be of
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a different size. To add a ragged array column, use a VectorIndex type to index
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the corresponding VectorData type. See documentation for VectorData and VectorIndex
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for more details. Unlike a compound data type, which is analogous to storing
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an array-of-structs, a DynamicTable can be thought of as a struct-of-arrays.
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This provides an alternative structure to choose from when optimizing storage
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for anticipated access patterns. Additionally, this type provides a way of creating
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a table without having to define a compound type up front. Although this convenience
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may be attractive, users should think carefully about how data will be accessed.
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DynamicTable is more appropriate for column-centric access, whereas a dataset
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with a compound type would be more appropriate for row-centric access. Finally,
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data size should also be taken into account. For small tables, performance loss
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may be an acceptable trade-off for the flexibility of a DynamicTable.
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is_a: Container
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attributes:
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colnames:
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name: colnames
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description: The names of the columns in this table. This should be used to
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specify an order to the columns.
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range: text
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description:
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name: description
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description: Description of what is in this dynamic table.
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range: text
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id:
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name: id
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description: Array of unique identifiers for the rows of this dynamic table.
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multivalued: false
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range: DynamicTable_id
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required: true
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VectorData:
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name: VectorData
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description: Vector columns, including index columns, of this dynamic table.
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multivalued: true
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range: VectorData
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required: false
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DynamicTable_id:
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name: DynamicTable_id
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description: Array of unique identifiers for the rows of this dynamic table.
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is_a: ElementIdentifiers
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attributes:
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array:
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name: array
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range: DynamicTable_id_Array
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DynamicTable_id_Array:
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name: DynamicTable_id_Array
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is_a: Arraylike
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attributes:
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num_rows:
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name: num_rows
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range: int
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required: true
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AlignedDynamicTable:
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name: AlignedDynamicTable
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description: DynamicTable container that supports storing a collection of sub-tables.
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Each sub-table is a DynamicTable itself that is aligned with the main table
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by row index. I.e., all DynamicTables stored in this group MUST have the same
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number of rows. This type effectively defines a 2-level table in which the main
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data is stored in the main table implemented by this type and additional columns
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of the table are grouped into categories, with each category being represented
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by a separate DynamicTable stored within the group.
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is_a: DynamicTable
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attributes:
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categories:
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name: categories
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description: The names of the categories in this AlignedDynamicTable. Each
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category is represented by one DynamicTable stored in the parent group.
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This attribute should be used to specify an order of categories and the
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category names must match the names of the corresponding DynamicTable in
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the group.
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range: text
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DynamicTable:
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name: DynamicTable
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description: A DynamicTable representing a particular category for columns
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in the AlignedDynamicTable parent container. The table MUST be aligned with
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(i.e., have the same number of rows) as all other DynamicTables stored in
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the AlignedDynamicTable parent container. The name of the category is given
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by the name of the DynamicTable and its description by the description attribute
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of the DynamicTable.
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multivalued: true
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range: DynamicTable
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required: false
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