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author | Tobias Geerinckx-Rice <me@tobias.gr> | 2017-04-16 18:06:57 +0200 |
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committer | Tobias Geerinckx-Rice <me@tobias.gr> | 2017-04-17 02:04:08 +0200 |
commit | d1e4ad1b02b2ea888557d3272c50b676faf18ca4 (patch) | |
tree | 05c261d3288303b0793155e536dcf0d82befb4fc /gnu/packages/datastructures.scm | |
parent | 0d82fafea4475896a00fabadd12bee6515ea8c7f (diff) | |
download | patches-d1e4ad1b02b2ea888557d3272c50b676faf18ca4.tar patches-d1e4ad1b02b2ea888557d3272c50b676faf18ca4.tar.gz |
gnu: Fix typos in descriptions.
* gnu/packages/admin.scm (di)[description]: Likewise.
* gnu/packages/bioinformatics.scm (r-annotate)[description]: Likewise.
* gnu/packages/datastructures.scm (sparsehash)[description]: Likewise.
* gnu/packages/dns.scm (knot)[description]: Likewise.
* gnu/packages/emacs.scm (emacs-idle-highlight)[synopsis, description]:
Likewise.
* gnu/packages/gnome.scm (libpeas)[description]: Likewise.
* gnu/packages/gtk.scm (python2-pygtk)[description]: Likewise.
* gnu/packages/kde-frameworks.scm (kactivities)[description]: Fix typo.
* gnu/packages/libevent.scm (perl-anyevent)[description]: Likewise.
* gnu/packages/machine-learning.scm (ghmm)[description]: Likewise.
* gnu/packages/mail.scm (mlmmj)[description]: Likewise.
* gnu/packages/maths.scm (vc)[description]: Likewise.
* gnu/packages/music.scm (gx-super-fuzz-lv2)[description]: Likewise.
* gnu/packages/networking.scm (nload)[description]: Likewise.
* gnu/packages/python.scm (python-execnet)[description]: Likewise.
* gnu/packages/terminals.scm (tilda)[description]: Likewise.
* gnu/packages/python.scm (python-execnet, python-tables)
(python2-coverage-test-runner, python2-rope)[description]: Likewise.
Diffstat (limited to 'gnu/packages/datastructures.scm')
-rw-r--r-- | gnu/packages/datastructures.scm | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/gnu/packages/datastructures.scm b/gnu/packages/datastructures.scm index ef249b9659..79068a54d0 100644 --- a/gnu/packages/datastructures.scm +++ b/gnu/packages/datastructures.scm @@ -65,7 +65,7 @@ and heaps.") "This library contains several hash-map implementations, similar in API to SGI's @code{hash_map} class, but with different performance characteristics. @code{sparse_hash_map} uses very little space overhead, 1-2 -bits per entry. @code{dense_hash_map} is very fast, particulary on lookup. +bits per entry. @code{dense_hash_map} is very fast, particularly on lookup. @code{sparse_hash_set} and @code{dense_hash_set} are the set versions of these routines. All these implementation use a hashtable with internal quadratic probing. This method is space-efficient -- there is no pointer overhead -- |