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Update to sparsehash-2.0.3: Allow building with more restrict C++ compilers.
2015-12-27 08:36:49 +01:00
# $NetBSD: Makefile,v 1.13 2015/12/27 07:36:49 joerg Exp $
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
#
Update to sparsehash-2.0.3: Allow building with more restrict C++ compilers.
2015-12-27 08:36:49 +01:00
DISTNAME= sparsehash-2.0.3
GITHUB_TAG= ${DISTNAME}
MASTER_SITES= ${MASTER_SITE_GITHUB:=sparsehash/}
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
CATEGORIES= devel
Update my email
2011-10-09 12:02:44 +02:00
MAINTAINER= cheusov@NetBSD.org
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
HOMEPAGE= http://goog-sparsehash.sourceforge.net/
fix COMMENT per pkglint
2012-09-15 19:21:52 +02:00
COMMENT= Extremely memory-efficient hash_map implementation
Add LICENSE Take maintainership Update to v1.10 == 21 January 2011 == I've just released sparsehash 1.10. This fixes a performance regression in sparsehash 1.8, where sparse_hash_map would copy hashtable keys by value even when the key was explicitly a reference. It also fixes compiler warnings from MSVC 10, which uses some c++0x features that did not interact well with sparsehash. There is no reason to upgrade unless you use references for your hashtable keys, or compile with MSVC 10. A full list of changes is described in [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.10/ChangeLog ChangeLog]. === 24 September 2010 === I've just released sparsehash 1.9. This fixes a size regression in sparsehash 1.8, where the new allocator would take up space in `sparse_hash_map`, doubling the sparse_hash_map overhead (from 1-2 bits per bucket to 3 or so). All users are encouraged to upgrade. This change also marks enums as being Plain Old Data, which can speed up hashtables with enum keys and/or values. A full list of changes is described in [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.9/ChangeLog ChangeLog]. === 29 July 2010 === I've just released sparsehash 1.8. This includes improved support for `Allocator`, including supporting the allocator constructor arg and `get_allocator()` access method. To work around a bug in gcc 4.0.x, I've renamed the static variables `HT_OCCUPANCY_FLT` and `HT_SHRINK_FLT` to `HT_OCCUPANCY_PCT` and `HT_SHRINK_PCT`, and changed their type from float to int. This should not be a user-visible change, since these variables are only used in the internal hashtable classes (sparsehash clients should use `max_load_factor()` and `min_load_factor()` instead of modifying these static variables), but if you do access these constants, you will need to change your code. Internally, the biggest change is a revamp of the test suite. It now has more complete coverage, and a more capable timing tester. There are other, more minor changes as well. A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.8/ChangeLog ChangeLog]. === 31 March 2010 === I've just released sparsehash 1.7. The major news here is the addition of `Allocator` support. Previously, these hashtable classes would just ignore the `Allocator` template parameter. They now respect it, and even inherit `size_type`, `pointer`, etc. from the allocator class. By default, they use a special allocator we provide that uses libc `malloc` and `free` to allocate. The hash classes notice when this special allocator is being used, and use `realloc` when it can. This means that the default allocator is significantly faster than custom allocators are likely to be (since realloc-like functionality is not supported by STL allocators). There are a few more minor changes as well. A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.7/ChangeLog ChangeLog]. === 11 January 2010 === I've just released sparsehash 1.6. The API has widened a bit with the addition of `deleted_key()` and `empty_key()`, which let you query what values these keys have. A few rather obscure bugs have been fixed (such as an error when copying one hashtable into another when the empty_keys differ). A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.6/ChangeLog ChangeLog]. === 9 May 2009 === I've just released sparsehash 1.5.1. Hot on the heels of sparsehash 1.5, this release fixes a longstanding bug in the sparsehash code, where `equal_range` would always return an empty range. It now works as documented. All sparsehash users are encouraged to upgrade. === 7 May 2009 === I've just released sparsehash 1.5. This release introduces tr1 compatibility: I've added `rehash`, `begin(i)`, and other methods that are expected to be part of the `unordered_map` API once `tr1` in introduced. This allows `sparse_hash_map`, `dense_hash_map`, `sparse_hash_set`, and `dense_hash_set` to be (almost) drop-in replacements for `unordered_map` and `unordered_set`. There is no need to upgrade unless you need this functionality, or need one of the other, more minor, changes described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.5/ChangeLog ChangeLog].
2011-05-29 17:12:26 +02:00
LICENSE= modified-bsd
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
Uses C++.
2006-06-02 00:42:48 +02:00
USE_LANGUAGES= c c++
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
GNU_CONFIGURE= yes
Update to 2.0.2 as requested in PR 46909, tested on NetBSD/6_RC1/amd64 and SL-6.2/amd64. Set TEST_TARGET to "check".
2012-09-08 18:55:46 +02:00
TEST_TARGET= check
Add LICENSE Take maintainership Update to v1.10 == 21 January 2011 == I've just released sparsehash 1.10. This fixes a performance regression in sparsehash 1.8, where sparse_hash_map would copy hashtable keys by value even when the key was explicitly a reference. It also fixes compiler warnings from MSVC 10, which uses some c++0x features that did not interact well with sparsehash. There is no reason to upgrade unless you use references for your hashtable keys, or compile with MSVC 10. A full list of changes is described in [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.10/ChangeLog ChangeLog]. === 24 September 2010 === I've just released sparsehash 1.9. This fixes a size regression in sparsehash 1.8, where the new allocator would take up space in `sparse_hash_map`, doubling the sparse_hash_map overhead (from 1-2 bits per bucket to 3 or so). All users are encouraged to upgrade. This change also marks enums as being Plain Old Data, which can speed up hashtables with enum keys and/or values. A full list of changes is described in [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.9/ChangeLog ChangeLog]. === 29 July 2010 === I've just released sparsehash 1.8. This includes improved support for `Allocator`, including supporting the allocator constructor arg and `get_allocator()` access method. To work around a bug in gcc 4.0.x, I've renamed the static variables `HT_OCCUPANCY_FLT` and `HT_SHRINK_FLT` to `HT_OCCUPANCY_PCT` and `HT_SHRINK_PCT`, and changed their type from float to int. This should not be a user-visible change, since these variables are only used in the internal hashtable classes (sparsehash clients should use `max_load_factor()` and `min_load_factor()` instead of modifying these static variables), but if you do access these constants, you will need to change your code. Internally, the biggest change is a revamp of the test suite. It now has more complete coverage, and a more capable timing tester. There are other, more minor changes as well. A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.8/ChangeLog ChangeLog]. === 31 March 2010 === I've just released sparsehash 1.7. The major news here is the addition of `Allocator` support. Previously, these hashtable classes would just ignore the `Allocator` template parameter. They now respect it, and even inherit `size_type`, `pointer`, etc. from the allocator class. By default, they use a special allocator we provide that uses libc `malloc` and `free` to allocate. The hash classes notice when this special allocator is being used, and use `realloc` when it can. This means that the default allocator is significantly faster than custom allocators are likely to be (since realloc-like functionality is not supported by STL allocators). There are a few more minor changes as well. A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.7/ChangeLog ChangeLog]. === 11 January 2010 === I've just released sparsehash 1.6. The API has widened a bit with the addition of `deleted_key()` and `empty_key()`, which let you query what values these keys have. A few rather obscure bugs have been fixed (such as an error when copying one hashtable into another when the empty_keys differ). A full list of changes is described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.6/ChangeLog ChangeLog]. === 9 May 2009 === I've just released sparsehash 1.5.1. Hot on the heels of sparsehash 1.5, this release fixes a longstanding bug in the sparsehash code, where `equal_range` would always return an empty range. It now works as documented. All sparsehash users are encouraged to upgrade. === 7 May 2009 === I've just released sparsehash 1.5. This release introduces tr1 compatibility: I've added `rehash`, `begin(i)`, and other methods that are expected to be part of the `unordered_map` API once `tr1` in introduced. This allows `sparse_hash_map`, `dense_hash_map`, `sparse_hash_set`, and `dense_hash_set` to be (almost) drop-in replacements for `unordered_map` and `unordered_set`. There is no need to upgrade unless you need this functionality, or need one of the other, more minor, changes described in the [http://google-sparsehash.googlecode.com/svn/tags/sparsehash-1.5/ChangeLog ChangeLog].
2011-05-29 17:12:26 +02:00
INSTALL_MAKE_FLAGS= docdir=${PREFIX}/share/doc/sparsehash
Initial import of Google SparseHash, an extremely memory-efficient hash_map implementation. with 2 bits/entry overhead! The Google SparseHash project contains several hash-map implementations in use at Google, with different performance characteristics, including an implementation that optimizes for space and one that optimizes for speed. SparseHash is a template library; there are no binaries to install. SparseHash is distributed under the terms of the BSD License.
2005-03-27 00:08:45 +01:00
.include "../../mk/bsd.pkg.mk"
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