Graeme Winter

@dermen thanks - adding some detailed instructions on getting started from conda is a clear improvement

Proposal: Extend ``` as_grid_scan = False .type = bool .help = "Import as grid scan" grid_size = None .type = ints(size=2) .help = "If importing as a grid scan set...

Then have a flex.vec2_double() in the imageset object to actually record these positions, of course...

@jmp1985 you likely have thoughts here

Discussion topic - should these properties belong to the scan?

Should we allow subclassing of the scan then? i.e. to avoid too much “baggage” in any one implementation (beware: here be dragons, once you start including translational information in the...

@dagewa I guess the nearest analogue to your request would get get_array_index_at_xy() - which would only make sense for data with positional information attached (and would also, as a side...

To be fair, thanks to @rjgildea for illustration

@dermen could you work around this by monkeypatching[1]? i.e. in your application code replace the definition of `fully_buffered_base.raise_if_errors()` with one which is a logical no-op returning self? Python is great...

@jbeilstenedmands points out that flex.size_t is a thing, which would probably do what I want for uint32.