Constructs from component parts.

>>> ts.Schema(dtype=ts.uint8,
...           chunk_layout=ts.ChunkLayout(grid_origin=[1, 2, 3],
...                                       inner_order=[0, 2, 1]))
Schema({
  'chunk_layout': {'grid_origin': [1, 2, 3], 'inner_order': [0, 2, 1]},
  'dtype': 'uint8',
  'rank': 3,
})

Parameters:¶

rank: int | None = None¶

Constrains the rank of the TensorStore. If there is an index transform, the rank constraint must match the rank of the input space.

dtype: dtype | None = None¶

Constrains the data type of the TensorStore. If a data type has already been set, it is an error to specify a different data type.

domain: IndexDomain | None = None¶

Constrains the domain of the TensorStore. If there is an existing domain, the specified domain is merged with it as follows:

1. The rank must match the existing rank.

2. All bounds must match, except that a finite or explicit bound is permitted to match an infinite and implicit bound, and takes precedence.

3. If both the new and existing domain specify non-empty labels for a dimension, the labels must be equal. If only one of the domains specifies a non-empty label for a dimension, the non-empty label takes precedence.

Note that if there is an index transform, the domain must match the input space, not the output space.

shape: Sequence[int] | None = None¶

Constrains the shape and origin of the TensorStore. Equivalent to specifying a domain of ts.IndexDomain(shape=shape).

Note

This option also constrains the origin of all dimensions to be zero.

chunk_layout: ChunkLayout | None = None¶

Constrains the chunk layout. If there is an existing chunk layout constraint, the constraints are merged. If the constraints are incompatible, an error is raised.

codec: CodecSpec | None = None¶

Constrains the codec. If there is an existing codec constraint, the constraints are merged. If the constraints are incompatible, an error is raised.

fill_value: ArrayLike | None = None¶

Specifies the fill value for positions that have not been written.

The fill value data type must be convertible to the actual data type, and the shape must be broadcast-compatible with the domain.

If an existing fill value has already been set as a constraint, it is an error to specify a different fill value (where the comparison is done after normalization by broadcasting).

dimension_units: Sequence[Unit | str | Real | tuple[Real, str] | None] | None = None¶

Specifies the physical units of each dimension of the domain.

The physical unit for a dimension is the physical quantity corresponding to a single index increment along each dimension.

A value of None indicates that the unit is unknown. A dimension-less quantity can be indicated by a unit of "".

schema: Schema | None = None¶

Additional schema constraints to merge with existing constraints.