Hey Sebastian, 2010/8/1 Sebastian Haase <[email protected]>
> Would you mind summarizing very briefly which dtypes you support in Numexpr > ? > (float32?) > Yup. See: http://code.google.com/p/numexpr/wiki/Overview#Datatypes_supported_internally for the complete list. > And 2ndly, is there (regarding this) a difference between the Numexpr > from pyTables and the "normal" Numexpr (which I think lives at google > code these days) ... ? > Since 2.2, PyTables does not includes Numexpr anymore and depends on Numexpr (>= 1.3.1) explicitly. The reason is that, after "normal" Numexpr got all the enhancements that PyTables needed (mainly support for booleans and strided and unaligned data), it does not make sense to have different Numexpr's anymore. Cheers, -- Francesc Alted
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