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Update py-pytables to 2.4.0. Major changes in 2.4: - Improved HDF5 error logging management. - Added support for the float16 data type. - Leaf nodes now have attributes for retrieving the size of data in memory and on disk. - Configurable maximum number of threads for Blosc and Numexpr. - ndim (read-only) attribute added to Leaf, Atom and Col objects. - Added read support for variable length string attributes. Full changelog for 2.4.0, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.4.x.html Major changes in 2.3: - Integrated functionality from PyTablesPro (re-licensed under a BSD license). - OPSI is a powerful and innovative indexing engine allowing PyTables to perform fast queries on arbitrarily large tables. - A fine-tuned LRU cache for both metadata (nodes) and regular data. Full changelog for 2.3.x, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.3.x.html
2013-05-14 11:57:58 +02:00
$NetBSD: distinfo,v 1.10 2013/05/14 09:57:58 fhajny Exp $
import pytables-0.8, a data manipulation package (frontend to HDF5)
2004-04-22 17:17:08 +02:00
Update py-pytables to 2.4.0. Major changes in 2.4: - Improved HDF5 error logging management. - Added support for the float16 data type. - Leaf nodes now have attributes for retrieving the size of data in memory and on disk. - Configurable maximum number of threads for Blosc and Numexpr. - ndim (read-only) attribute added to Leaf, Atom and Col objects. - Added read support for variable length string attributes. Full changelog for 2.4.0, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.4.x.html Major changes in 2.3: - Integrated functionality from PyTablesPro (re-licensed under a BSD license). - OPSI is a powerful and innovative indexing engine allowing PyTables to perform fast queries on arbitrarily large tables. - A fine-tuned LRU cache for both metadata (nodes) and regular data. Full changelog for 2.3.x, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.3.x.html
2013-05-14 11:57:58 +02:00
SHA1 (tables-2.4.0.tar.gz) = 09374a53bf1cb2162c5224d684455b0f008e67b8
RMD160 (tables-2.4.0.tar.gz) = 8be57b8dccf97914ca9f71989d400e2691254902
Size (tables-2.4.0.tar.gz) = 8947848 bytes
update to 2.2 changes: -new compressor called Blosc (speed-up) -A new `tables.Expr` module (based on Numexpr) that allows to do persistent, on-disk computations on many algebraic operations. -Support for HDF5 hard links, soft links and automatic external links -Suport for 'fancy' indexing -bugfixes
2010-07-16 14:17:59 +02:00
SHA1 (patch-aa) = 8d89466c9fc4df63dd39a3fe2bd3e9f8ac7b45c8
Update py-pytables to 2.4.0. Major changes in 2.4: - Improved HDF5 error logging management. - Added support for the float16 data type. - Leaf nodes now have attributes for retrieving the size of data in memory and on disk. - Configurable maximum number of threads for Blosc and Numexpr. - ndim (read-only) attribute added to Leaf, Atom and Col objects. - Added read support for variable length string attributes. Full changelog for 2.4.0, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.4.x.html Major changes in 2.3: - Integrated functionality from PyTablesPro (re-licensed under a BSD license). - OPSI is a powerful and innovative indexing engine allowing PyTables to perform fast queries on arbitrarily large tables. - A fine-tuned LRU cache for both metadata (nodes) and regular data. Full changelog for 2.3.x, see: http://pytables.github.io/release-notes/RELEASE_NOTES_v2.3.x.html
2013-05-14 11:57:58 +02:00
SHA1 (patch-ab) = d392f84969092d542e41e8a91bb21678b8463917
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