Check during initialization of DatashaderRasterizerIterDataPipe on whether the input canvas and vector datapipes have compatible lengths. This is better than finding out that the zip function doesn't work when the datapipe is being iterated over. Added a unit test to cover the 3:2 ratio case and documented why the ValueError is raised on unmatched lengths. Also renamed the previous ValueError on unsupported geometry types to NotImplementedError to avoid confusion.
Check during initialization of
DatashaderRasterizerIterDataPipeon whether the input canvas and vector datapipes have compatible lengths. This is better than finding out that the zip function doesn't work when the datapipe is being iterated over. Added a unit test to cover the 3:2 ratio case and documented why theValueErroris raised on unmatched lengths. Also renamed the previousValueErroron unsupported geometry types toNotImplementedErrorto avoid confusion.Motivated by issues discovered in #31 (see af489a8d9fecf1fd0241e5b62a7abdf0f0b2f0dd) when some DataPipe functions like https://pytorch.org/data/0.4/generated/torchdata.datapipes.iter.BatchMapper.html do not return any lengths.
Patches #35.