Sets the grid constraints for the specified usage.

• If value is of type WriteChunk, ReadChunk, or CodecChunk, the

  constraints are set for the corresponding usage indicated by the type.

• If value is of type Chunk (i.e. U == kUnspecifiedUsage), then the constraints are set for the usage indicated by the run-time value value.usage(). If value.usage() == kUnspecifiedUsage, then the GridView::shape and GridView::elements apply to write and read chunks, and the GridView::aspect_ratio applies to write, read, and codec chunks.

For example, to specify constraints on write chunks:

tensorstore::ChunkLayout constraints;
TENSORSTORE_RETURN_IF_ERROR(constraints.Set(
    tensorstore::ChunkLayout::WriteChunk(
      tensorstore::ChunkLayout::ChunkShape({100, 200}))));

Equivalently, specifying the usage at run time:

TENSORSTORE_RETURN_IF_ERROR(constraints.Set(
    tensorstore::ChunkLayout::Chunk(
      tensorstore::ChunkLayout::ChunkShapeBase({100, 200}),
      tensorstore::ChunkLayout::kWrite)));

To specify common constraints for write, read, and codec chunks:

TENSORSTORE_RETURN_IF_ERROR(constraints.Set(
    tensorstore::ChunkLayout::Chunk(
      tensorstore::ChunkLayout::ChunkAspectRatio({1, 2}),
      tensorstore::ChunkLayout::ChunkElements(5000000))));

Note that the aspect ratio of {1, 2} applies to write, read, and codec chunks, but a target number of elements of 5000000 is set only for write and read chunks.