A Q. re: upcoming CRM114 library...

Bill,

a quick question: will the upcoming library support feeding data
chunk-by-chunk or would it require the complete document to be mapped
into memory?

This is why I ask:
imagine a deeply-nested MIME message, that contains different text body
parts in different encodings, parts with different binary data, possibly
MIME-encoded in different ways (b64 and q-p), possibly residing in
different "message/rfc822" parts at different depths. While I
recursively parse this MIME structure, at any time I have a single
fully-decoded (and possibly charset-translated) body part with its
associated set of headers. But, I usually have no reason to reconstruct
the complete message from these decoded/translated parts (and it would
even be a wrong thing to do, from classification perspective). I'd
rather pass the freshly obtained/decoded chunk of the message to the
classifier along with the opaque "state structure", and instantly forget
about it, and continue traversal of the message tree. When I am over,
I'll ask the "state structure" about the result of classification
(/learning).

Will such thing be possible with the new library?

Thanks,

Eugene

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