[med-svn] [Git][med-team/hnswlib][master] 4 commits: Update upstream/metadata

[Nilesh Patra]

Nilesh Patra pushed to branch master at Debian Med / hnswlib


Commits:
e246cb1e by Nilesh Patra at 2020-09-07T01:32:50+05:30
Update upstream/metadata

- - - - -
4973205e by Nilesh Patra at 2020-09-07T01:33:51+05:30
Only header files are not arch specific

- - - - -
bac66e9b by Nilesh Patra at 2020-09-07T01:42:00+05:30
Update Description, minor fixes

- - - - -
a31ea159 by Nilesh Patra at 2020-09-07T01:42:04+05:30
Add hardening flags

- - - - -


3 changed files:

- debian/control
- debian/rules
- debian/upstream/metadata


Changes:

=====================================
debian/control
=====================================
@@ -22,27 +22,25 @@ Depends: ${shlibs:Depends},
          ${python3:Depends},
          python3-pybind11,
          python3-numpy
-Description: fast approximate nearest neighbor search
+Description: python bindings for hnswlib: fast approximate nearest neighbor search
  A common task in data analysis but also in scientific computations
- is to find data that is very close (multi-dimensional space) or 
+ is to find data that is very close (multi-dimensional space) or
  similar (same thing) to a given data point. Also as heuristics for
- for physics engines, it is the objects closest to you that you are
+ physics engines, it is the objects closest to you that you are
  most likely to collide with. This library knows how to do this
  fast.
  .
  This package provides a module for Python3 to the C implementation.
 
 Package: libhnswlib-dev
-Architecture: any
+Architecture: all
 Depends: ${misc:Depends}
 Description: fast approximate nearest neighbor search
  Header-only C++ HNSW implementation with python bindings.
  .
  A common task in data analysis but also in scientific computations
- is to find data that is very close (multi-dimensional space) or 
+ is to find data that is very close (multi-dimensional space) or
  similar (same thing) to a given data point. Also as heuristics for
- for physics engines, it is the objects closest to you that you are
+ physics engines, it is the objects closest to you that you are
  most likely to collide with. This library knows how to do this
  fast.
- 
-


=====================================
debian/rules
=====================================
@@ -10,6 +10,7 @@ PYBUILD_SYSTEM=pybuild
 #PYTHON_INSTALL_ARGS= --dir python_bindings
 
 include /usr/share/dpkg/default.mk
+export DEB_BUILD_MAINT_OPTIONS = hardening=+all
 
 %:
 	echo "I: Target $@"


=====================================
debian/upstream/metadata
=====================================
@@ -7,3 +7,10 @@ Reference:
    Number: 1603.09320
    URL: https://arxiv.org/abs/1603.09320
    eprint: https://arxiv.org/pdf/1603.09320
+---
+Archive: GitHub
+Bug-Database: https://github.com/nmslib/hnswlib/issues
+Bug-Submit: https://github.com/nmslib/hnswlib/issues/new
+Changelog: https://github.com/nmslib/hnswlib/tags
+Repository: https://github.com/nmslib/hnswlib.git
+Repository-Browse: https://github.com/nmslib/hnswlib



View it on GitLab: https://salsa.debian.org/med-team/hnswlib/-/compare/825ec7253b13ba044e83b47b605a631baa84c2f9...a31ea159abce71bb387cff53ac3889bb306d0c3d

-- 
View it on GitLab: https://salsa.debian.org/med-team/hnswlib/-/compare/825ec7253b13ba044e83b47b605a631baa84c2f9...a31ea159abce71bb387cff53ac3889bb306d0c3d
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